Visual Saliency Based on Conditional Entropy. - Yin Li 003; Yue Zhou 005; Junchi Yan; Zhibin Niu; Jie Yang 002 (ACCV (1), 2009)

An Accelerated Human Motion Tracking System Based on Voxel Reconstruction under Complex Environments. - Junchi Yan; Yin Li 003; EnLiang Zheng; Yuncai Liu (ACCV (2), 2009)

Markless Human Motion Capture by Voxel Labeling. - Junchi Yan; Jian Liu; Yuncai Liu (ICIG, 2009)

Improving Semantic Scene Categorization by Exploiting Audio-Visual Features. - Songhao Zhu; Junchi Yan; Yuncai Liu (ICIG, 2009)

Optimum Subspace Learning and Error Correction for Tensors. - Yin Li 003; Junchi Yan; Yue Zhou 005; Jie Yang 002 (ECCV (3), 2010)

A Bayesian framework for 3D human motion tracking from monocular image. - Jian Liu; Junchi Yan; Minglei Tong; Yuncai Liu (ICASSP, 2010)

Tensor error correction for corrupted values in visual data. - Yin Li 003; Yue Zhou 005; Junchi Yan; Jie Yang 002; Xiangjian He (ICIP, 2010)

Visual saliency detection via rank-sparsity decomposition. - Junchi Yan; Jian Liu; Yin Li 003; Zhibin Niu; Yuncai Liu (ICIP, 2010)

Model-based 3D human motion tracking and voxel reconstruction from sparse views. - Junchi Yan; Jian Song; Liwei Wang; Yuncai Liu (ICIP, 2010)

An Optimization Based Framework for Human Pose Estimation. - Junchi Yan; Shuhan Shen; Yin Li 003; Yuncai Liu (IEEE Signal Process. Lett., 2010)

Visual Saliency Detection via Sparsity Pursuit. - Junchi Yan; Mengyuan Zhu; Huanxi Liu; Yuncai Liu (IEEE Signal Process. Lett., 2010)

A Double-Layer Model for Foreground Detection from Video Sequence. - Huanxi Liu; Junchi Yan; Jun Zhu; Xiaowei Lv; Xiong Li 004; Tianhong Zhu; Yuncai Liu (ICIG, 2011)

Sparse Feature Learning for Visual Tracking by Least Absolute Shrinkage and Selection Operator. - Minglei Tong; Junchi Yan; Huanxi Liu; Hong Han 001 (ICIG, 2011)

Weighted sparse coding residual minimization for visual tracking. - Junchi Yan; Minglei Tong (VCIP, 2011)

On the Convergence of Graph Matching: Graduated Assignment Revisited. - Yu Tian; Junchi Yan; Hequan Zhang; Ya Zhang 002; Xiaokang Yang 001; Hongyuan Zha (ECCV (3), 2012)

A survey on oil / gas pipeline optimization: Problems, methods and challenges. - Yu Wang 021; Chunhua Tian; Junchi Yan; Jin Huang (SOLI, 2012)

Experimental analysis of different optimization techniques on leakage localization using series alignment. - Yu Wang 021; Junchi Yan; Chunhua Tian; Weishan Dong; Jin Huang (SOLI, 2012)

Negative pressure wave based pipeline Leak Detection: Challenges and algorithms. - Chunhua Tian; Junchi Yan; Jin Huang; Yu Wang 021; Dong-Sup Kim; Tongnyoul Yi (SOLI, 2012)

Load forecasting using Twin Gaussian Process model. - Junchi Yan; Chunhua Tian; Jin Huang; Yu Wang 021 (SOLI, 2012)

Online incremental regression for electricity price prediction. - Junchi Yan; Chunhua Tian; Yu Wang 021; Jin Huang (SOLI, 2012)

Joint Optimization for Consistent Multiple Graph Matching. - Junchi Yan; Yu Tian; Hongyuan Zha; Xiaokang Yang 001; Ya Zhang 002; Stephen M. Chu (ICCV, 2013)

Towards Effective Prioritizing Water Pipe Replacement and Rehabilitation. - Junchi Yan; Yu Wang 021; Ke Zhou 002; Jin Huang; Chunhua Tian; Hongyuan Zha; Weishan Dong (IJCAI, 2013)

Digitize Your Body and Action in 3-D at Over 10 FPS: Real Time Dense Voxel Reconstruction and Marker-less Motion Tracking via GPU Acceleration. - Jian Song; Yatao Bian; Junchi Yan; Xu Zhao 001; Yuncai Liu (CoRR, 2013)

Two-stage based ensemble optimization framework for large-scale global optimization. - Yu Wang 021; Jin Huang; Weishan Dong; Junchi Yan; Chunhua Tian; Min Li 022; Wen Ting Mo (Eur. J. Oper. Res., 2013)

Maximizing Multi-scale Spatial Statistical Discrepancy. - Weishan Dong; Renjie Yao; Chunyang Ma; Changsheng Li; Lei Shi 002; Lu Wang 029; Yu Wang 021; Peng Gao 014; Junchi Yan (CIKM, 2014)

Graduated Consistency-Regularized Optimization for Multi-graph Matching. - Junchi Yan; Yin Li 003; Wei Liu 005; Hongyuan Zha; Xiaokang Yang 001; Stephen Mingyu Chu (ECCV (1), 2014)

Sufficient Statistics Feature Mapping over Deep Boltzmann Machine for Detection. - Chao Zhang 010; Xiong Li 004; Junchi Yan; Stephen Qui; Yu Wang 021; Chunhua Tian; Yuming Zhao (ICPR, 2014)

Predicting protein-RNA interaction amino acids using random forest based on submodularity subset selection. - Xiaoyong Pan; Lin Zhu; Yong-Xian Fan; Junchi Yan (Comput. Biol. Chem., 2014)

Digital IIR Filter Design with Fix-Point Representation Using Effective Evolutionary Local Search Enhanced Differential Evolution. - Yu Wang 021; Weishan Dong; Junchi Yan; Li Li 022; Chunhua Tian; Chao Zhang 010; Zhihu Wang; Chunyang Ma (Computational Intelligence in Digital and Network Designs and Applications, 2015)

Multi-View Point Registration via Alternating Optimization. - Junchi Yan; Jun Wang 006; Hongyuan Zha; Xiaokang Yang 001; Stephen M. Chu (AAAI, 2015)

On Machine Learning towards Predictive Sales Pipeline Analytics. - Junchi Yan; Chao Zhang 010; Hongyuan Zha; Min Gong; Changhua Sun; Jin Huang; Stephen M. Chu; Xiaokang Yang 001 (AAAI, 2015)

Discrete hyper-graph matching. - Junchi Yan; Chao Zhang 010; Hongyuan Zha; Wei Liu 005; Xiaokang Yang 001; Stephen M. Chu (CVPR, 2015)

Person Re-Identification with Correspondence Structure Learning. - Yang Shen; Weiyao Lin; Junchi Yan; Mingliang Xu; Jianxin Wu 001; Jingdong Wang 001 (ICCV, 2015)

A Matrix Decomposition Perspective to Multiple Graph Matching. - Junchi Yan; Hongteng Xu; Hongyuan Zha; Xiaokang Yang 001; Huanxi Liu; Stephen M. Chu (ICCV, 2015)

Person re-identification fusing via ranking consensus. - Yang Shen; Weiyao Lin; Junchi Yan; Youping Zhong; Bing Zhou 003; Huiqing Yin (ICIMCS, 2015)

Sales pipeline win propensity prediction: A regression approach. - Junchi Yan; Min Gong; Changhua Sun; Jin Huang; Stephen M. Chu (IM, 2015)

Active Sample Learning and Feature Selection: A Unified Approach. - Changsheng Li; Xiangfeng Wang; Weishan Dong; Junchi Yan; Qingshan Liu 001; Hongyuan Zha (CoRR, 2015)

A General Multi-Graph Matching Approach via Graduated Consistency-regularized Boosting. - Junchi Yan; Minsu Cho; Hongyuan Zha; Xiaokang Yang 001; Stephen M. Chu (CoRR, 2015)

Consistency-Driven Alternating Optimization for Multigraph Matching: A Unified Approach. - Junchi Yan; Jun Wang 006; Hongyuan Zha; Xiaokang Yang 001; Stephen M. Chu (IEEE Trans. Image Process., 2015)

End-to-End Solution with Clustering Method for Attrition Analysis. - Nianjun Zhou; Wesley M. Gifford; Junchi Yan; Hongfei Li (SCC, 2016)

Spatially Regularized Streaming Sensor Selection. - Changsheng Li; Fan Wei; Weishan Dong; Xiangfeng Wang; Junchi Yan; Xiaobin Zhu 001; Qingshan Liu 001; Xin Zhang 008 (AAAI, 2016)

Parallel Randomized Block Coordinate Descent for Neural Probabilistic Language Model with High-Dimensional Output Targets. - Xin Liu 091; Junchi Yan; Xiangfeng Wang; Hongyuan Zha (CCPR (2), 2016)

Low-Rank Matrix Approximation with Stability. - Dongsheng Li 002; Chao Chen 016; Qin Lv; Junchi Yan; Li Shang; Stephen M. Chu (ICML, 2016)

A constrained clustering based approach for matching a collection of feature sets. - Junchi Yan; Zhe Ren; Hongyuan Zha; Stephen M. Chu (ICPR, 2016)

MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering. - Chao Chen 016; Dongsheng Li 002; Qin Lv; Junchi Yan; Stephen M. Chu; Li Shang (IJCAI, 2016)

On Modeling and Predicting Individual Paper Citation Count over Time. - Shuai Xiao 002; Junchi Yan; Changsheng Li; Bo Jin 003; Xiangfeng Wang; Xiaokang Yang 001; Stephen M. Chu; Hongyuan Zha (IJCAI, 2016)

Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior. - Junchi Yan; Shuai Xiao 002; Changsheng Li; Bo Jin 003; Xiangfeng Wang; Bin Ke; Xiaokang Yang 001; Hongyuan Zha (IJCAI, 2016)

A Short Survey of Recent Advances in Graph Matching. - Junchi Yan; Xu-Cheng Yin; Weiyao Lin; Cheng Deng; Hongyuan Zha; Xiaokang Yang 001 (ICMR, 2016)

On Estimating Air Pollution from Photos Using Convolutional Neural Network. - Chao Zhang 010; Junchi Yan; Changsheng Li; Xiaoguang Rui; Liang Liu 010; Rongfang Bie (ACM Multimedia, 2016)

Joint Prediction of Rating and Popularity for Cold-Start Item by Sentinel User Selection. - Zhongchen Miao; Junchi Yan; Kai Chen 006; Xiaokang Yang 001; Hongyuan Zha; Wenjun Zhang 001 (IEEE Access, 2016)

A Self-Paced Regularization Framework for Multi-Label Learning. - Changsheng Li; Fan Wei; Junchi Yan; Weishan Dong; Qingshan Liu 001; Xiaoyu Zhang 002 (CoRR, 2016)

A Tube-and-Droplet-based Approach for Representing and Analyzing Motion Trajectories. - Weiyao Lin; Yang Zhou; Hongteng Xu; Junchi Yan; Mingliang Xu; Jianxin Wu 001; Zicheng Liu 001 (CoRR, 2016)

A Fractal-based CNN for Detecting Complicated Curves in AFM Images. - Hongteng Xu; Junchi Yan; Nils Persson; Hongyuan Zha (CoRR, 2016)

Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization. - Junchi Yan; Minsu Cho; Hongyuan Zha; Xiaokang Yang 001; Stephen M. Chu (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Discriminative Dictionary Learning With Common Label Alignment for Cross-Modal Retrieval. - Cheng Deng; Xu Tang; Junchi Yan; Wei Liu 005; Xinbo Gao 001 (IEEE Trans. Multim., 2016)

GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering. - Chao Chen 016; Dongsheng Li 002; Qin Lv; Junchi Yan; Li Shang; Stephen M. Chu (AAAI, 2017)

Self-Paced Multi-Task Learning. - Changsheng Li; Junchi Yan; Fan Wei; Weishan Dong; Qingshan Liu 001; Hongyuan Zha (AAAI, 2017)

On Predictive Patent Valuation: Forecasting Patent Citations and Their Types. - Xin Liu 091; Junchi Yan; Shuai Xiao 002; Xiangfeng Wang; Hongyuan Zha; Stephen M. Chu (AAAI, 2017)

Unsupervised Deep Learning for Optical Flow Estimation. - Zhe Ren; Junchi Yan; Bingbing Ni; Bin Liu 054; Xiaokang Yang 001; Hongyuan Zha (AAAI, 2017)

Modeling the Intensity Function of Point Process Via Recurrent Neural Networks. - Shuai Xiao 002; Junchi Yan; Xiaokang Yang 001; Hongyuan Zha; Stephen M. Chu (AAAI, 2017)

Transductive Non-linear Learning for Chinese Hypernym Prediction. - Chengyu Wang 001; Junchi Yan; Aoying Zhou; Xiaofeng He (ACL (1), 2017)

A Divide-and-Conquer Approach for Large-Scale Multi-label Learning. - Wenjie Zhang; Xiangfeng Wang; Junchi Yan; Hongyuan Zha (BigMM, 2017)

Fractal Dimension Invariant Filtering and Its CNN-Based Implementation. - Hongteng Xu; Junchi Yan; Nils Persson; Weiyao Lin; Hongyuan Zha (CVPR, 2017)

Hybrid Measurement of Air Quality as a Mobile Service: An Image Based Approach. - Chao Zhang 010; Baoxian Liu; Junchi Yan; Jinghai Yan; Lingjun Li; Dawei Zhang; Xiaoguang Rui; Rongfang Bie (ICWS, 2017)

Early Air Pollution Forecasting as a Service: An Ensemble Learning Approach. - Chao Zhang 010; Junchi Yan; Yunting Li; Feng Sun; Jinghai Yan; Dawei Zhang; Xiaoguang Rui; Rongfang Bie (ICWS, 2017)

Wasserstein Learning of Deep Generative Point Process Models. - Shuai Xiao 002; Mehrdad Farajtabar; Xiaojing Ye; Junchi Yan; Xiaokang Yang 001; Le Song; Hongyuan Zha (NIPS, 2017)

Personalized Key Frame Recommendation. - Xu Chen 017; Yongfeng Zhang; Qingyao Ai; Hongteng Xu; Junchi Yan; Zheng Qin 003 (SIGIR, 2017)

Visual analytics for loan guarantee network risk management. - Dawei Cheng; Zhibin Niu; Junchi Yan; Jiawan Zhang; Liqing Zhang 001 (CoRR, 2017)

Learning Correspondence Structures for Person Re-identification. - Weiyao Lin; Yang Shen; Junchi Yan; Mingliang Xu; Jianxin Wu 001; Jingdong Wang 001; Ke Lu 002 (CoRR, 2017)

A hybrid approach for risk assessment of loan guarantee network. - Zhibin Niu; Dawei Cheng; Junchi Yan; Jiawan Zhang; Liqing Zhang 001; Hongyuan Zha (CoRR, 2017)

Wasserstein Learning of Deep Generative Point Process Models. - Shuai Xiao 002; Mehrdad Farajtabar; Xiaojing Ye; Junchi Yan; Le Song; Hongyuan Zha (CoRR, 2017)

Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks. - Shuai Xiao 002; Junchi Yan; Mehrdad Farajtabar; Le Song; Xiaokang Yang 001; Hongyuan Zha (CoRR, 2017)

Deep Extreme Multi-label Learning. - Wenjie Zhang; Liwei Wang; Junchi Yan; Xiangfeng Wang; Hongyuan Zha (CoRR, 2017)

Unsupervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning. - Ning Zhang 040; Junchi Yan; Yu Chen Zhou (CoRR, 2017)

Attention based convolutional neural network for predicting RNA-protein binding sites. - Xiaoyong Pan; Junchi Yan (CoRR, 2017)

Guest Editorial: Visual Multimedia Learning from Big Surveillance Data. - Zheng Xu 001; Junchi Yan; Richard Yida Xu; Lin Mei 001 (Multim. Tools Appl., 2017)

A Tube-and-Droplet-Based Approach for Representing and Analyzing Motion Trajectories. - Weiyao Lin; Yang Zhou; Hongteng Xu; Junchi Yan; Mingliang Xu 001; Jianxin Wu 001; Zicheng Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Learning Correspondence Structures for Person Re-Identification. - Weiyao Lin; Yang Shen; Junchi Yan; Mingliang Xu 001; Jianxin Wu 001; Jingdong Wang 001; Ke Lu 002 (IEEE Trans. Image Process., 2017)

Tracking Based Multi-Orientation Scene Text Detection: A Unified Framework With Dynamic Programming. - Chun Yang; Xu-Cheng Yin; Wei-Yi Pei; Shu Tian; Ze-Yu Zuo; Chao Zhu 003; Junchi Yan (IEEE Trans. Image Process., 2017)

Learning Conditional Generative Models for Temporal Point Processes. - Shuai Xiao 002; Hongteng Xu; Junchi Yan; Mehrdad Farajtabar; Xiaokang Yang 001; Le Song; Hongyuan Zha (AAAI, 2018)

Tau-FPL: Tolerance-Constrained Learning in Linear Time. - Ao Zhang; Nan Li 019; Jian Pu; Jun Wang 006; Junchi Yan; Hongyuan Zha (AAAI, 2018)

Session Expert: a Lightweight Conference Session Recommender System. - Jinfeng Yi; Qi Lei; Junchi Yan; Wei Sun (IEEE BigData, 2018)

Joint Cuts and Matching of Partitions in One Graph. - Tianshu Yu 001; Junchi Yan; Jieyi Zhao; Baoxin Li (CVPR, 2018)

Incremental Multi-graph Matching via Diversity and Randomness Based Graph Clustering. - Tianshu Yu 001; Junchi Yan; Wei Liu 005; Baoxin Li (ECCV (13), 2018)

Multi-Label Dilated Recurrent Network for Sequential Face Alignment. - Tong Yang 005; Shizheng Qin; Junchi Yan; Wenqiang Zhang (ICME, 2018)

Collaborative and Attentive Learning for Personalized Image Aesthetic Assessment. - Guolong Wang 001; Junchi Yan; Zheng Qin 003 (IJCAI, 2018)

Learning Sequential Correlation for User Generated Textual Content Popularity Prediction. - Wen Wang 016; Wei Zhang 056; Jun Wang 006; Junchi Yan; Hongyuan Zha (IJCAI, 2018)

Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning. - Junchi Yan; Xin Liu 091; Liangliang Shi; Changsheng Li; Hongyuan Zha (IJCAI, 2018)

Weakly Supervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning. - Ning Zhang 040; Junchi Yan; Yuchen Zhou (IJCAI, 2018)

Decoupled Learning for Factorial Marked Temporal Point Processes. - Weichang Wu; Junchi Yan; Xiaokang Yang 001; Hongyuan Zha (KDD, 2018)

Deep Extreme Multi-label Learning. - Wenjie Zhang; Junchi Yan; Xiangfeng Wang; Hongyuan Zha (ICMR, 2018)

Group Re-Identification: Leveraging and Integrating Multi-Grain Information. - Hao Xiao; Weiyao Lin; Bin Sheng 001; Ke Lu 002; Junchi Yan; Jingdong Wang 001; Errui Ding; Yihao Zhang; Hongkai Xiong (ACM Multimedia, 2018)

Generalizing Graph Matching beyond Quadratic Assignment Model. - Tianshu Yu 001; Junchi Yan; Yilin Wang 002; Wei Liu 005; Baoxin Li (NeurIPS, 2018)

Publication Popularity Modeling via Adversarial Learning of Profile-Specific Dynamic Process. - Shuai Xiao 002; Junchi Yan; Xiaokang Yang 001; Hongyuan Zha (IEEE Access, 2018)

Collaborative Filtering with Stability. - Dongsheng Li 002; Chao Chen 016; Qin Lv; Junchi Yan; Li Shang; Stephen M. Chu (CoRR, 2018)

On the flexibility of block coordinate descent for large-scale optimization. - Xiangfeng Wang; Wenjie Zhang; Junchi Yan; Xiaoming Yuan 001; Hongyuan Zha (Neurocomputing, 2018)

Contour detection via stacking random forest learning. - Chao Zhang 010; Junchi Yan; Changsheng Li; Rongfang Bie (Neurocomputing, 2018)

End-to-end learning for image-based air quality level estimation. - Chao Zhang 010; Junchi Yan; Changsheng Li; Hao Wu 022; Rongfang Bie (Mach. Vis. Appl., 2018)

Adaptive Discrete Hypergraph Matching. - Junchi Yan; Changsheng Li; Yin Li 003; Guitao Cao (IEEE Trans. Cybern., 2018)

A Self-Paced Regularization Framework for Multilabel Learning. - Changsheng Li; Fan Wei; Junchi Yan; Xiaoyu Zhang 002; Qingshan Liu 001; Hongyuan Zha (IEEE Trans. Neural Networks Learn. Syst., 2018)

Synergizing Local and Global Models for Matrix Approximation. - Chao Chen 016; Hao Zhang; Dongsheng Li 002; Junchi Yan; Xiaokang Yang 001 (CIKM, 2019)

Transferable AutoML by Model Sharing Over Grouped Datasets. - Chao Xue; Junchi Yan; Rong Yan; Stephen M. Chu; Yonggang Hu; Yonghua Lin (CVPR, 2019)

Deep Spectral Clustering Using Dual Autoencoder Network. - Xu Yang 019; Cheng Deng; Feng Zheng; Junchi Yan; Wei Liu 005 (CVPR, 2019)

Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query. - Hao Wang 062; Cheng Deng; Junchi Yan; Dacheng Tao (ICCV, 2019)

Learning Combinatorial Embedding Networks for Deep Graph Matching. - Runzhong Wang; Junchi Yan; Xiaokang Yang 001 (ICCV, 2019)

SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects. - Xue Yang 005; Jirui Yang; Junchi Yan; Yue Zhang 016; Tengfei Zhang 004; Zhi Guo; Xian Sun; Kun Fu 001 (ICCV, 2019)

Joint Link Prediction and Network Alignment via Cross-graph Embedding. - Xingbo Du; Junchi Yan; Hongyuan Zha (IJCAI, 2019)

Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting. - Longyuan Li; Junchi Yan; Xiaokang Yang 001; Yaohui Jin (IJCAI, 2019)

Graph Convolutional Network Hashing for Cross-Modal Retrieval. - Ruiqing Xu; Chao Li 033; Junchi Yan; Cheng Deng; Xianglong Liu 001 (IJCAI, 2019)

TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics. - Shihui Yang; Jidong Tian; Honglun Zhang; Junchi Yan; Hao He 007; Yaohui Jin (IJCAI, 2019)

Modeling and Applications for Temporal Point Processes. - Junchi Yan; Hongteng Xu; Liangda Li (KDD, 2019)

Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling. - Qitian Wu; Zixuan Zhang; Xiaofeng Gao 001; Junchi Yan; Guihai Chen (NeurIPS, 2019)

Differential Privacy with Variant-Noise for Gaussian Processes Classification. - Zhili Xiong; Longyuan Li; Junchi Yan; Haiyang Wang; Hao He 007; Yaohui Jin (PRICAI (3), 2019)

Fast Unsupervised Location Category Inference from Highly Inaccurate Mobility Data. - Jinfeng Yi; Qi Lei; Wesley M. Gifford; Ji Liu; Junchi Yan; Bowen Zhou 001 (SDM, 2019)

Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering. - Weichang Wu; Junchi Yan; Xiaokang Yang 001; Hongyuan Zha (CoRR, 2019)

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object. - Xue Yang 005; Qingqing Liu; Junchi Yan; Ang Li (CoRR, 2019)

Decoding Spiking Mechanism with Dynamic Learning on Neuron Population. - Zhijie Chen; Junchi Yan; Longyuan Li; Xiaokang Yang 001 (CoRR, 2019)

Bridging Disentanglement with Independence and Conditional Independence via Mutual Information for Representation Learning. - Xiaojiang Yang; Wendong Bi; Yu Cheng; Junchi Yan (CoRR, 2019)

Special issue on deep learning for intelligent sensing, decision-making and control. - Wei Zhang 021; Junchi Yan; Zhi-Yong Liu 001; Zhigang Zeng (Neurocomputing, 2019)

Joint Active Learning with Feature Selection via CUR Matrix Decomposition. - Changsheng Li; Xiangfeng Wang; Weishan Dong; Junchi Yan; Qingshan Liu 001; Hongyuan Zha (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Editorial. - Junchi Yan; Minsu Cho; Francesc Serratosa; Gui-Song Xia; Yinqiang Zheng (Pattern Recognit. Lett., 2019)

Learning Time Series Associated Event Sequences With Recurrent Point Process Networks. - Shuai Xiao 002; Junchi Yan; Mehrdad Farajtabar; Le Song; Xiaokang Yang 001; Hongyuan Zha (IEEE Trans. Neural Networks Learn. Syst., 2019)

Multiple Graph Matching and Clustering via Decayed Pairwise Matching Composition. - Tianzhe Wang; Zetian Jiang; Junchi Yan (AAAI, 2020)

Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning. - Xuehui Wang; Qing Wang 025; Yuzhi Zhao; Junchi Yan; Lei Fan 005; Long Chen 005 (ACCV (2), 2020)

Towards Transferable Targeted Attack. - Maosen Li; Cheng Deng; Tengjiao Li; Junchi Yan; Xinbo Gao 001; Heng Huang (CVPR, 2020)

Learning Unseen Concepts via Hierarchical Decomposition and Composition. - Muli Yang; Cheng Deng; Junchi Yan; Xianglong Liu 001; Dacheng Tao (CVPR, 2020)

Determinant Regularization for Gradient-Efficient Graph Matching. - Tianshu Yu 001; Junchi Yan; Baoxin Li (CVPR, 2020)

Arbitrary-Oriented Object Detection with Circular Smooth Label. - Xue Yang 005; Junchi Yan (ECCV (8), 2020)

Layered Neighborhood Expansion for Incremental Multiple Graph Matching. - Zixuan Chen; Zhihui Xie 002; Junchi Yan; Yinqiang Zheng; Xiaokang Yang 001 (ECCV (10), 2020)

Discriminative Partial Domain Adversarial Network. - Jian Hu 002; Hongya Tuo; Chao Wang; Lingfeng Qiao; Haowen Zhong; Junchi Yan; Zhongliang Jing; Henry Leung (ECCV (27), 2020)

Rethinking the Defocus Blur Detection Problem and a Real-Time Deep DBD Model. - Ning Zhang 040; Junchi Yan (ECCV (10), 2020)

AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning. - Jianchao Zhu; Liangliang Shi; Junchi Yan; Hongyuan Zha (ECCV (10), 2020)

Pre-training Entity Relation Encoder with Intra-span and Inter-span Information. - Yijun Wang; Changzhi Sun; Yuanbin Wu; Junchi Yan; Peng Gao 015; Guotong Xie (EMNLP (1), 2020)

Learning deep graph matching with channel-independent embedding and Hungarian attention. - Tianshu Yu 001; Runzhong Wang; Junchi Yan; Baoxin Li (ICLR, 2020)

GFTE: Graph-Based Financial Table Extraction. - Yiren Li; Zheng Huang; Junchi Yan; Yi Zhou; Fan Ye; Xianhui Liu (ICPR Workshops (2), 2020)

Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning. - Junjie Wang; Xiangfeng Wang; Bo Jin 003; Junchi Yan; Wenjie Zhang; Hongyuan Zha (ICPR, 2020)

Automatic Student Network Search for Knowledge Distillation. - Zhexi Zhang; Wei Zhu 016; Junchi Yan; Peng Gao 015; Guotong Xie (ICPR, 2020)

MergeNAS: Merge Operations into One for Differentiable Architecture Search. - Xiaoxing Wang; Chao Xue; Junchi Yan; Xiaokang Yang 001; Yonggang Hu; Kewei Sun (IJCAI, 2020)

Learning for Graph Matching and Related Combinatorial Optimization Problems. - Junchi Yan; Shuang Yang; Edwin R. Hancock (IJCAI, 2020)

Learning to Select Elements for Graphic Design. - Guolong Wang 001; Zheng Qin 003; Junchi Yan; Liu Jiang (ICMR, 2020)

Adversarial Learning for Robust Deep Clustering. - Xu Yang 019; Cheng Deng; Kun Wei; Junchi Yan; Wei Liu 005 (NeurIPS, 2020)

Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning. - Runzhong Wang; Junchi Yan; Xiaokang Yang 001 (NeurIPS, 2020)

The Diversified Ensemble Neural Network. - Shaofeng Zhang; Meng Liu 012; Junchi Yan (NeurIPS, 2020)

Video Content Analysis for Compliance Audit in Finance and Security Industry. - Bin Liu 054; Mingyu Wu 003; Minze Tao; Qin Wang; Luye He; Guoliang Shen; Kai Chen; Junchi Yan (IEEE Access, 2020)

IEEE Access Special Section: Sequential Data Modeling and Its Emerging Applications. - Junchi Yan; Xiaoyong Pan; Liangda Li; Changsheng Li; Peng Cui; Chao Ma (IEEE Access, 2020)

Hyper-Meta Reinforcement Learning with Sparse Reward. - Yun Hua; Xiangfeng Wang; Bo Jin 003; Wenhao Li 001; Junchi Yan; Xiaofeng He; Hongyuan Zha (CoRR, 2020)

PAI-Conv: Permutable Anisotropic Convolutional Networks for Learning on Point Clouds. - Zhongpai Gao; Guangtao Zhai; Junchi Yan; Xiaokang Yang 001 (CoRR, 2020)

ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradients Accumulation. - Xiaoxing Wang; Xiangxiang Chu; Yuda Fan; Zhexi Zhang; Xiaolin Wei; Junchi Yan; Xiaokang Yang 001 (CoRR, 2020)

Deep Reinforcement Learning of Graph Matching. - Chang Liu 021; Runzhong Wang; Zetian Jiang; Junchi Yan (CoRR, 2020)

Causality Learning from Time Series Data for the Industrial Finance Analysis via the Multi-dimensional Point Process. - Liangliang Shi; Peili Lu; Junchi Yan (Intell. Autom. Soft Comput., 2020)

Fusing motion patterns and key visual information for semantic event recognition in basketball videos. - Lifang Wu; Zhou Yang; Qi Wang 076; Meng Jian; Boxuan Zhao; Junchi Yan; Chang Wen Chen (Neurocomputing, 2020)

Unsupervised learning of optical flow with patch consistency and occlusion estimation. - Zhe Ren; Junchi Yan; Xiaokang Yang 001; Alan L. Yuille; Hongyuan Zha (Pattern Recognit., 2020)

STFlow: Self-Taught Optical Flow Estimation Using Pseudo Labels. - Zhe Ren; Wenhan Luo; Junchi Yan; Wenlong Liao; Xiaokang Yang 001; Alan L. Yuille; Hongyuan Zha (IEEE Trans. Image Process., 2020)

Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning. - Chao Chen 016; Dongsheng Li 002; Junchi Yan; Hanchi Huang; Xiaokang Yang 001 (AAAI, 2021)

Learning Local Neighboring Structure for Robust 3D Shape Representation. - Zhongpai Gao; Junchi Yan; Guangtao Zhai; Juyong Zhang; Yiyan Yang; Xiaokang Yang 001 (AAAI, 2021)

Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting. - Longyuan Li; Jihai Zhang 002; Junchi Yan; Yaohui Jin; Yunhao Zhang; Yanjie Duan; Guangjian Tian (AAAI, 2021)

Learning Modulated Loss for Rotated Object Detection. - Wen Qian; Xue Yang 005; Silong Peng; Junchi Yan; Yue Guo (AAAI, 2021)

Learning Comprehensive Motion Representation for Action Recognition. - Mingyu Wu 002; Boyuan Jiang; Donghao Luo 001; Junchi Yan; Yabiao Wang; Ying Tai; Chengjie Wang; Jilin Li; Feiyue Huang; Xiaokang Yang 001 (AAAI, 2021)

Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective. - Chao Xue; Xiaoxing Wang; Junchi Yan; Yonggang Hu; Xiaokang Yang 001; Kewei Sun (AAAI, 2021)

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object. - Xue Yang 005; Junchi Yan; Ziming Feng; Tao He (AAAI, 2021)

UniRE: A Unified Label Space for Entity Relation Extraction. - Yijun Wang; Changzhi Sun; Yuanbin Wu; Hao Zhou 012; Lei Li 005; Junchi Yan (ACL/IJCNLP (1), 2021)

Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation. - Zeyuan Chen; Wei Zhang 056; Junchi Yan; Gang Wang 014; Jianyong Wang 001 (CIKM, 2021)

Dense Label Encoding for Boundary Discontinuity Free Rotation Detection. - Xue Yang 005; Liping Hou; Yue Zhou 005; Wentao Wang 009; Junchi Yan (CVPR, 2021)

SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network. - Xu Yang 019; Cheng Deng; Zhiyuan Dang; Kun Wei; Junchi Yan (CVPR, 2021)

Generalizing Face Forgery Detection With High-Frequency Features. - Yuchen Luo; Yong Zhang 034; Junchi Yan; Wei Liu 005 (CVPR, 2021)

Tuning IR-Cut Filter for Illumination-Aware Spectral Reconstruction From RGB. - Bo Sun; Junchi Yan; Xiao Zhou; Yinqiang Zheng (CVPR, 2021)

Combinatorial Learning of Graph Edit Distance via Dynamic Embedding. - Runzhong Wang; Tianqi Zhang; Tianshu Yu 001; Junchi Yan; Xiaokang Yang 001 (CVPR, 2021)

ENPAR: Enhancing Entity and Entity Pair Representations for Joint Entity Relation Extraction. - Yijun Wang; Changzhi Sun; Yuanbin Wu; Hao Zhou 012; Lei Li 005; Junchi Yan (EACL, 2021)

Monocular Visual Analysis for Electronic Line Calling of Tennis Games. - Yuanzhou Chen; Shaobo Cai; Yuxin Wang; Junchi Yan (ICIG (1), 2021)

DARTS-: Robustly Stepping out of Performance Collapse Without Indicators. - Xiangxiang Chu; Xiaoxing Wang; Bo Zhang 046; Shun Lu 001; Xiaolin Wei; Junchi Yan (ICLR, 2021)

Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss. - Xue Yang 005; Junchi Yan; Qi Ming; Wentao Wang 009; Xiaopeng Zhang 008; Qi Tian 001 (ICML, 2021)

Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation. - Chao Chen 016; Haoyu Geng; Nianzu Yang; Junchi Yan; Daiyue Xue; Jianping Yu; Xiaokang Yang 001 (ICML, 2021)

Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach. - Qitian Wu; Hengrui Zhang; Xiaofeng Gao 001; Junchi Yan; Hongyuan Zha (ICML, 2021)

Deep Latent Graph Matching. - Tianshu Yu 001; Runzhong Wang; Junchi Yan; Baoxin Li (ICML, 2021)

Learning Spectral Dictionary for Local Representation of Mesh. - Zhongpai Gao; Junchi Yan; Guangtao Zhai; Xiaokang Yang 001 (IJCAI, 2021)

Neural Relation Inference for Multi-dimensional Temporal Point Processes via Message Passing Graph. - Yunhao Zhang; Junchi Yan (IJCAI, 2021)

Dynamic Modeling of Hand-Object Interactions via Tactile Sensing. - Qiang Zhang; Yunzhu Li; Yiyue Luo; Wan Shou; Michael Foshey; Junchi Yan; Joshua B. Tenenbaum; Wojciech Matusik; Antonio Torralba 001 (IROS, 2021)

HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem. - Yun Hua; Xiangfeng Wang; Bo Jin 003; Wenhao Li 001; Junchi Yan; Xiaofeng He; Hongyuan Zha (KDD, 2021)

Contrastive Multi-View Multiplex Network Embedding with Applications to Robust Network Alignment. - Hao Xiong 003; Junchi Yan; Li Pan 002 (KDD, 2021)

On Joint Learning for Solving Placement and Routing in Chip Design. - Ruoyu Cheng; Junchi Yan (NeurIPS, 2021)

GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction. - Longyuan Li; Jian Yao 004; Li K. Wenliang; Tong He 002; Tianjun Xiao; Junchi Yan; David Wipf; Zheng Zhang 001 (NeurIPS, 2021)

A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs. - Runzhong Wang; Zhigang Hua; Gan Liu; Jiayi Zhang 003; Junchi Yan; Feng Qi 005; Shuang Yang; Jun Zhou 011; Xiaokang Yang 001 (NeurIPS, 2021)

Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach. - Qitian Wu; Chenxiao Yang; Junchi Yan (NeurIPS, 2021)

Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence. - Xue Yang 005; Xiaojiang Yang; Jirui Yang; Qi Ming; Wentao Wang 009; Qi Tian 001; Junchi Yan (NeurIPS, 2021)

From Canonical Correlation Analysis to Self-supervised Graph Neural Networks. - Hengrui Zhang; Qitian Wu; Junchi Yan; David Wipf; Philip S. Yu (NeurIPS, 2021)

Cognitive Visual Inspection Service for LCD Manufacturing Industry. - Yuanyuan Ding; Junchi Yan; Guoqiang Hu; Jun Zhu (CoRR, 2021)

Spherical Transformer: Adapting Spherical Signal to CNNs. - Haikuan Du; Hui Cao; Shen Cai; Junchi Yan; Siyu Zhang (CoRR, 2021)

Melody Structure Transfer Network: Generating Music with Separable Self-Attention. - Ning Zhang 040; Junchi Yan (CoRR, 2021)

Music Plagiarism Detection via Bipartite Graph Matching. - Tianyao He; Wenxuan Liu; Chen Gong 006; Junchi Yan; Ning Zhang 040 (CoRR, 2021)

DAAS: Differentiable Architecture and Augmentation Policy Search. - Xiaoxing Wang; Xiangxiang Chu; Junchi Yan; Xiaokang Yang 001 (CoRR, 2021)

AlphaRotate: A Rotation Detection Benchmark using TensorFlow. - Xue Yang 005; Yue Zhou 005; Junchi Yan (CoRR, 2021)

Image Matching from Handcrafted to Deep Features: A Survey. - Jiayi Ma 001; Xingyu Jiang; Aoxiang Fan; Junjun Jiang; Junchi Yan (Int. J. Comput. Vis., 2021)

OS-LFFD: a light and fast face detector with Ommateum structure. - Dezhong Xu; Lifang Wu; Yonghao He; Qing Zhao; Meng Jian; Junchi Yan; Liang Zhao (Multim. Tools Appl., 2021)

Unifying Offline and Online Multi-Graph Matching via Finding Shortest Paths on Supergraph. - Zetian Jiang; Tianzhe Wang; Junchi Yan (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Distributed and Parallel ADMM for Structured Nonconvex Optimization Problem. - Xiangfeng Wang; Junchi Yan; Bo Jin 003; Wenhao Li 001 (IEEE Trans. Cybern., 2021)

Anomaly Detection of Time Series With Smoothness-Inducing Sequential Variational Auto-Encoder. - Longyuan Li; Junchi Yan; Haiyang Wang; Yaohui Jin (IEEE Trans. Neural Networks Learn. Syst., 2021)

Input-Specific Robustness Certification for Randomized Smoothing. - Ruoxin Chen; Jie Li 002; Junchi Yan; Ping Li 016; Bin Sheng 001 (AAAI, 2022)

Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine Approach. - Xiaosong Jia; Li Chen 008; Penghao Wu; Jia Zeng; Junchi Yan; Hongyang Li 001; Yu Qiao 001 (CoRL, 2022)

Optimal LED Spectral Multiplexing for NIR2RGB Translation. - Lei Liu; Yuze Chen; Junchi Yan; Yinqiang Zheng (CVPR, 2022)

Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond. - Qibing Ren; Qingquan Bao; Runzhong Wang; Junchi Yan (CVPR, 2022)

Object Localization under Single Coarse Point Supervision. - Xuehui Yu; Pengfei Chen 004; Di Wu; Najmul Hassan; Guorong Li; Junchi Yan; Humphrey Shi; Qixiang Ye; Zhenjun Han (CVPR, 2022)

Align Representations with Base: A New Approach to Self-Supervised Learning. - Shaofeng Zhang; Lyn Qiu; Feng Zhu 006; Junchi Yan; Hengrui Zhang; Rui Zhao 001; Hongyang Li 001; Xiaokang Yang 001 (CVPR, 2022)

PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark. - Li Chen 008; Chonghao Sima; Yang Li 189; Zehan Zheng; Jiajie Xu 001; Xiangwei Geng; Hongyang Li 001; Conghui He; Jianping Shi; Yu Qiao 001; Junchi Yan (ECCV (38), 2022)

ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning. - Shengchao Hu; Li Chen 008; Penghao Wu; Hongyang Li 001; Junchi Yan; Dacheng Tao (ECCV (38), 2022)

Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling. - Jian Hu 002; Haowen Zhong; Fei Yang; Shaogang Gong; Guile Wu; Junchi Yan (ECCV (31), 2022)

Self-supervised Learning of Visual Graph Matching. - Chang Liu 021; Shaofeng Zhang; Xiaokang Yang 001; Junchi Yan (ECCV (23), 2022)

StyleFace: Towards Identity-Disentangled Face Generation on Megapixels. - Yuchen Luo; Junwei Zhu; Keke He; Wenqing Chu; Ying Tai; Chengjie Wang; Junchi Yan (ECCV (16), 2022)

EAutoDet: Efficient Architecture Search for Object Detection. - Xiaoxing Wang; Jiale Lin; Juanping Zhao; Xiaokang Yang 001; Junchi Yan (ECCV (20), 2022)

A Max-Flow Based Approach for Neural Architecture Search. - Chao Xue; Xiaoxing Wang; Junchi Yan; Chun-Guang Li (ECCV (20), 2022)

Explaining Point Processes by Learning Interpretable Temporal Logic Rules. - Shuang Li 002; Mingquan Feng; Lu Wang 029; Abdelmajid Essofi; Yufeng Cao; Junchi Yan; Le Song (ICLR, 2022)

Handling Distribution Shifts on Graphs: An Invariance Perspective. - Qitian Wu; Hengrui Zhang; Junchi Yan; David Wipf (ICLR, 2022)

Nonlinear ICA Using Volume-Preserving Transformations. - Xiaojiang Yang; Yi Wang; Jiacheng Sun; Xing Zhang; Shifeng Zhang; Zhenguo Li; Junchi Yan (ICLR, 2022)

Zero-CL: Instance and Feature decorrelation for negative-free symmetric contrastive learning. - Shaofeng Zhang; Feng Zhu 006; Junchi Yan; Rui Zhao 001; Xiaokang Yang 001 (ICLR, 2022)

Opendenselane: A Dense Lidar-Based Dataset for HD Map Construction. - Xiaolei Chen; Wenlong Liao; Bin Liu 054; Junchi Yan; Tao He (ICME, 2022)

Trajectory Prediction from EGO View: A Coordinate Transform and Tail-Light Event Driven Approach. - Wenlong Liao; Xiaolei Chen; Weipeng Zhang; Huanxi Liu; Junchi Yan; Yingxin Lou; Tao Xue; Shuqi Mei (ICME, 2022)

On Collective Robustness of Bagging Against Data Poisoning. - Ruoxin Chen; Zenan Li; Jie Li 002; Junchi Yan; Chentao Wu (ICML, 2022)

GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks. - Yixuan He; Quan Gan; David Wipf; Gesine D. Reinert; Junchi Yan; Mihai Cucuringu (ICML, 2022)

Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning. - Chang Liu 021; Chenfei Lou; Runzhong Wang; Alan Yuhan Xi; Li Shen 008; Junchi Yan (ICML, 2022)

Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering. - Yunhao Zhang; Junchi Yan; Xiaolu Zhang; Jun Zhou 011; Xiaokang Yang 001 (IJCAI, 2022)

Variational Inference for Training Graph Neural Networks in Low-Data Regime through Joint Structure-Label Estimation. - Danning Lao; Xinyu Yang 002; Qitian Wu; Junchi Yan (KDD, 2022)

DICE: Domain-attack Invariant Causal Learning for Improved Data Privacy Protection and Adversarial Robustness. - Qibing Ren; Yiting Chen 003; Yichuan Mo; Qitian Wu; Junchi Yan (KDD, 2022)

Towards a Native Quantum Paradigm for Graph Representation Learning: A Sampling-based Recurrent Embedding Approach. - Ge Yan 001; Yehui Tang; Junchi Yan (KDD, 2022)

M-Mix: Generating Hard Negatives via Multi-sample Mixing for Contrastive Learning. - Shaofeng Zhang; Meng Liu 012; Junchi Yan; Hengrui Zhang; Lingxiao Huang; Xiaokang Yang 001; Pinyan Lu (KDD, 2022)

CEP3: Community Event Prediction With Neural Point Process on Graph. - Xuhong Wang; Sirui Chen; Yixuan He; Minjie Wang; Quan Gan; Junchi Yan (LoG, 2022)

CoHOZ: Contrastive Multimodal Prompt Tuning for Hierarchical Open-set Zero-shot Recognition. - Ning Liao; Yifeng Liu; Xiaobo Li; Chenyi Lei; Guoxin Wang 002; Xian-Sheng Hua 001; Junchi Yan (ACM Multimedia, 2022)

Prompt-based Zero-shot Video Moment Retrieval. - Guolong Wang 001; Xun Wu; Zhaoyuan Liu; Junchi Yan (ACM Multimedia, 2022)

MMRotate: A Rotated Object Detection Benchmark using PyTorch. - Yue Zhou 005; Xue Yang 005; Gefan Zhang; Jiabao Wang; Yanyi Liu; Liping Hou; Xue Jiang 001; Xingzhao Liu; Junchi Yan; Chengqi Lyu; Wenwei Zhang; Kai Chen 026 (ACM Multimedia, 2022)

Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency Domain. - Yiting Chen 003; Qibing Ren; Junchi Yan (NeurIPS, 2022)

The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design. - Ruoyu Cheng; Xianglong Lyu; Yang Li 197; Junjie Ye; Jianye Hao; Junchi Yan (NeurIPS, 2022)

Improving Generative Adversarial Networks via Adversarial Learning in Latent Space. - Yang Li 197; Yichuan Mo; Liangliang Shi; Junchi Yan (NeurIPS, 2022)

GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs. - Zenan Li; Qitian Wu; Fan Nie; Junchi Yan (NeurIPS, 2022)

GraphQNTK: Quantum Neural Tangent Kernel for Graph Data. - Yehui Tang; Junchi Yan (NeurIPS, 2022)

ZARTS: On Zero-order Optimization for Neural Architecture Search. - Xiaoxing Wang; Wenxuan Guo; Jianlin Su; Xiaokang Yang 001; Junchi Yan (NeurIPS, 2022)

Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline. - Penghao Wu; Xiaosong Jia; Li Chen 008; Junchi Yan; Hongyang Li 001; Yu Qiao 001 (NeurIPS, 2022)

NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification. - Qitian Wu; Wentao Zhao; Zenan Li; David P. Wipf; Junchi Yan (NeurIPS, 2022)

Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment. - Chenxiao Yang; Qitian Wu; Qingsong Wen; Zhiqiang Zhou; Liang Sun 001; Junchi Yan (NeurIPS, 2022)

Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks. - Chenxiao Yang; Qitian Wu; Junchi Yan (NeurIPS, 2022)

Learning Substructure Invariance for Out-of-Distribution Molecular Representations. - Nianzu Yang; Kaipeng Zeng; Qitian Wu; Xiaosong Jia; Junchi Yan (NeurIPS, 2022)

Conditional Variational Inference for Multi-modal Trajectory Prediction with Latent Diffusion Prior. - Lyn Qiu; Xu Li 001; Mingming Sun 001; Junchi Yan (PRICAI (1), 2022)

Learning structured communication for multi-agent reinforcement learning. - Junjie Sheng; Xiangfeng Wang; Bo Jin 003; Junchi Yan; Wenhao Li 001; Tsung-Hui Chang; Jun Wang 006; Hongyuan Zha (Auton. Agents Multi Agent Syst., 2022)

Real-Trading-Oriented Price Prediction With Explainable Multiobjective Optimization in Quantitative Trading. - Tao Yin; Xingbo Du; Weipeng Zhang; Yunan Zhao; Bing Han 023; Junchi Yan (IEEE Access, 2022)

Mind Your Solver! On Adversarial Attack and Defense for Combinatorial Optimization. - Han Lu; Zenan Li; Runzhong Wang; Qibing Ren; Junchi Yan; Xiaokang Yang 001 (CoRR, 2022)

Decompositional Quantum Graph Neural Network. - Xing Ai; Zhihong Zhang 001; Luzhe Sun; Junchi Yan; Edwin R. Hancock (CoRR, 2022)

Towards Distribution Shift of Node-Level Prediction on Graphs: An Invariance Perspective. - Qitian Wu; Hengrui Zhang; Junchi Yan; David Wipf (CoRR, 2022)

Molecule Generation for Drug Design: a Graph Learning Perspective. - Nianzu Yang; Huaijin Wu; Junchi Yan; Xiaoyong Pan; Ye Yuan; Le Song (CoRR, 2022)

From Quantum Graph Computing to Quantum Graph Learning: A Survey. - Yehui Tang; Junchi Yan; Edwin R. Hancock (CoRR, 2022)

Towards Machine Learning for Placement and Routing in Chip Design: a Methodological Overview. - Junchi Yan; Xianglong Liu 001; Ruoyu Cheng; Yibo Lin (CoRR, 2022)

Learning Neural Hamiltonian Dynamics: A Methodological Overview. - Zhijie Chen; Mingquan Feng; Junchi Yan; Hongyuan Zha (CoRR, 2022)

A Survey for Solving Mixed Integer Programming via Machine Learning. - Jiayi Zhang 003; Chang Liu 021; Junchi Yan; Xijun Li; Hui-Ling Zhen; Mingxuan Yuan (CoRR, 2022)

Machine Learning Methods in Solving the Boolean Satisfiability Problem. - Wenxuan Guo; Junchi Yan; Hui-Ling Zhen; Xijun Li; Mingxuan Yuan; Yaohui Jin (CoRR, 2022)

DialogueNeRF: Towards Realistic Avatar Face-to-face Conversation Video Generation. - Zanwei Zhou; Zi Wang; Shunyu Yao; Yichao Yan; Chen Yang 023; Guangtao Zhai; Junchi Yan; Xiaokang Yang 001 (CoRR, 2022)

GraphCoCo: Graph Complementary Contrastive Learning. - Jiawei Sun; Junchi Yan; Chentao Wu; Yue Ding 001; Ruoxin Chen; Xiang Yu; Xinyu Lu; Jie Li 002 (CoRR, 2022)

MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization. - Wujiang Xu; Shaoshuai Li; Qiongxu Ma; Yunan Zhao; Sheng Guo 005; Xiaobo Guo; Bing Han; Junchi Yan; Yifei Xu (CoRR, 2022)

DOTIN: Dropping Task-Irrelevant Nodes for GNNs. - Shaofeng Zhang; Feng Zhu 006; Junchi Yan; Rui Zhao 001; Xiaokang Yang 001 (CoRR, 2022)

CEP3: Community Event Prediction with Neural Point Process on Graph. - Xuhong Wang; Sirui Chen; Yixuan He; Minjie Wang; Quan Gan; Yupu Yang; Junchi Yan (CoRR, 2022)

Level 2 Autonomous Driving on a Single Device: Diving into the Devils of Openpilot. - Li Chen 008; Tutian Tang; Zhitian Cai; Yang Li 189; Penghao Wu; Hongyang Li 001; Jianping Shi; Junchi Yan; Yu Qiao 001 (CoRR, 2022)

Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe. - Hongyang Li 001; Chonghao Sima; Jifeng Dai; Wenhai Wang; Lewei Lu; Huijie Wang; Enze Xie; Zhiqi Li; Hanming Deng; Hao Tian 006; Xizhou Zhu; Li Chen 008; et al. (CoRR, 2022)

Learning Universe Model for Partial Matching Networks over Multiple Graphs. - Zetian Jiang; Jiaxin Lu 001; Tianzhe Wang; Junchi Yan (CoRR, 2022)

End-to-End Context-Aided Unicity Matching for Person Re-identification. - Min Cao; Cong Ding 013; Chen Chen 036; Junchi Yan; Yinqiang Zheng (CoRR, 2022)

Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach. - Haoxuan Wang 002; Junchi Yan (CoRR, 2022)

Localized Contrastive Learning on Graphs. - Hengrui Zhang; Qitian Wu; Yu Wang 158; Shaofeng Zhang; Junchi Yan; Philip S. Yu (CoRR, 2022)

On the Arbitrary-Oriented Object Detection: Classification Based Approaches Revisited. - Xue Yang 005; Junchi Yan (Int. J. Comput. Vis., 2022)

Correction to: On the Arbitrary-Oriented Object Detection: Classification Based Approaches Revisited. - Xue Yang 005; Junchi Yan (Int. J. Comput. Vis., 2022)

EatingTrak: Detecting Fine-grained Eating Moments in the Wild Using a Wrist-mounted IMU. - Ruidong Zhang; Jihai Zhang 002; Nitish Gade; Peng Cao; Seyun Kim; Junchi Yan; Cheng Zhang 022 (Proc. ACM Hum. Comput. Interact., 2022)

Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem With Extension to Hypergraph and Multiple-Graph Matching. - Runzhong Wang; Junchi Yan; Xiaokang Yang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Auto uning of price prediction models for high-frequency trading via reinforcement learning. - Weipeng Zhang; Ning Zhang 040; Junchi Yan; Guofu Li; Xiaokang Yang 001 (Pattern Recognit., 2022)

Recent progress and perspectives on quantum computing for finance. - Yehui Tang; Junchi Yan; Guoqiang Hu; Baohua Zhang; Jinzan Zhou (Serv. Oriented Comput. Appl., 2022)

RSDet++: Point-Based Modulated Loss for More Accurate Rotated Object Detection. - Wen Qian; Xue Yang 005; Silong Peng; Xiujuan Zhang; Junchi Yan (IEEE Trans. Circuits Syst. Video Technol., 2022)

Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation. - Chao Chen 016; Dongsheng Li 002; Junchi Yan; Xiaokang Yang 001 (IEEE Trans. Knowl. Data Eng., 2022)

Cross-Network Skip-Gram Embedding for Joint Network Alignment and Link Prediction. - Xingbo Du; Junchi Yan; Rui Zhang 052; Hongyuan Zha (IEEE Trans. Knowl. Data Eng., 2022)

Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model. - Weichang Wu; Junchi Yan; Xiaokang Yang 001; Hongyuan Zha (IEEE Trans. Knowl. Data Eng., 2022)

BTWalk: Branching Tree Random Walk for Multi-Order Structured Network Embedding. - Hao Xiong 003; Junchi Yan (IEEE Trans. Knowl. Data Eng., 2022)

C-NTPP: Learning Cluster-Aware Neural Temporal Point Process. - Fangyu Ding; Junchi Yan; Haiyang Wang (AAAI, 2023)

HSA: Hyperbolic Self-attention for Sequential Recommendation. - Peizhong Hou; Haiyang Wang; Tianming Li; Junchi Yan (APWeb/WAIM (3), 2023)

Poisson Process for Bayesian Optimization. - Xiaoxing Wang; Jiaxing Li; Chao Xue; Wei Liu 005; Weifeng Liu 001; Xiaokang Yang 001; Junchi Yan; Dacheng Tao (AutoML, 2023)

Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving. - Xiaosong Jia; Penghao Wu; Li Chen 008; Jiangwei Xie; Conghui He; Junchi Yan; Hongyang Li 001 (CVPR, 2023)

Deep Learning of Partial Graph Matching via Differentiable Top-K. - Runzhong Wang; Ziao Guo; Shaofei Jiang; Xiaokang Yang 001; Junchi Yan (CVPR, 2023)

Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm. - Yichen Xie 002; Han Lu; Junchi Yan; Xiaokang Yang 001; Masayoshi Tomizuka; Wei Zhan (CVPR, 2023)

Distilling Focal Knowledge from Imperfect Expert for 3D Object Detection. - Jia Zeng; Li Chen 008; Hanming Deng; Lewei Lu; Junchi Yan; Yu Qiao 001; Hongyang Li 001 (CVPR, 2023)

Adaptive Embedding and Distribution Re-margin for Long-Tail Recognition. - Yulin Su; Boan Chen; Ziming Feng; Junchi Yan (ICANN (8), 2023)

Ternary Weight Networks. - Bin Liu 054; Fengfu Li; Xiaoxing Wang; Bo Zhang; Junchi Yan (ICASSP, 2023)

MHSCNET: A Multimodal Hierarchical Shot-Aware Convolutional Network for Video Summarization. - Wujiang Xu; Runzhong Wang; Xiaobo Guo; Shaoshuai Li; Qiongxu Ma; Yunan Zhao; Sheng Guo 005; Zhenfeng Zhu; Junchi Yan (ICASSP, 2023)

EasyMap: Improving Technology Mapping via Exploration-Enhanced Heuristics and Adaptive Sequencing. - Peiyu Wang; Anqi Lu; Xing Li; Junjie Ye; Lei Chen 031; Mingxuan Yuan; Jianye Hao; Junchi Yan (ICCAD, 2023)

EasySO: Exploration-enhanced Reinforcement Learning for Logic Synthesis Sequence Optimization and a Comprehensive RL Environment. - Jianyong Yuan; Peiyu Wang; Junjie Ye; Mingxuan Yuan; Jianye Hao; Junchi Yan (ICCAD, 2023)

DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving. - Xiaosong Jia; Yulu Gao; Li Chen 008; Junchi Yan; Patrick Langechuan Liu; Hongyang Li 001 (ICCV, 2023)

ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation. - Xiaoxing Wang; Xiangxiang Chu; Yuda Fan; Zhexi Zhang; Bo Zhang 046; Xiaokang Yang 001; Junchi Yan (ICCV, 2023)

Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model (Extended Abstract). - Weichang Wu; Junchi Yan; Xiaokang Yang 001; Hongyuan Zha (ICDE, 2023)

Adaptive Semi-Supervised Mixup with Implicit Label Learning and Sample Ratio Balancing. - Yulin Su; Liangliang Shi; Ziming Feng; Pengzhi Chu; Junchi Yan (ICIP, 2023)

The KFIoU Loss for Rotated Object Detection. - Xue Yang 005; Yue Zhou 005; Gefan Zhang; Jirui Yang; Wentao Wang 009; Junchi Yan; Xiaopeng Zhang 008; Qi Tian 001 (ICLR, 2023)

H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection. - Xue Yang 005; Gefan Zhang; Wentong Li; Yue Zhou 005; Xuehui Wang; Junchi Yan (ICLR, 2023)

Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution. - Chao Chen 016; Haoyu Geng; Gang Zeng; Zhaobing Han; Hua Chai; Xiaokang Yang 001; Junchi Yan (ICLR, 2023)

Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching. - Chang Liu 021; Zetian Jiang; Runzhong Wang; Lingxiao Huang; Pinyan Lu; Junchi Yan (ICLR, 2023)

ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs. - Han Lu; Zenan Li; Runzhong Wang; Qibing Ren; Xijun Li; Mingxuan Yuan; Jia Zeng; Xiaokang Yang 001; Junchi Yan (ICLR, 2023)

Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case. - Runzhong Wang; Li Shen 008; Yiting Chen 003; Xiaokang Yang 001; Dacheng Tao; Junchi Yan (ICLR, 2023)

Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling. - Penghao Wu; Li Chen 008; Hongyang Li 001; Xiaosong Jia; Junchi Yan; Yu Qiao 001 (ICLR, 2023)

Energy-based Out-of-Distribution Detection for Graph Neural Networks. - Qitian Wu; Yiting Chen 003; Chenxiao Yang; Junchi Yan (ICLR, 2023)

DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion. - Qitian Wu; Chenxiao Yang; Wentao Zhao; Yixuan He; David Wipf; Junchi Yan (ICLR, 2023)

Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs. - Chenxiao Yang; Qitian Wu; Jiahua Wang; Junchi Yan (ICLR, 2023)

Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation for Faster and Better Visual Pretraining. - Shaofeng Zhang; Feng Zhu 006; Rui Zhao 001; Junchi Yan (ICLR, 2023)

Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning. - Shaofeng Zhang; Feng Zhu 006; Rui Zhao 001; Junchi Yan (ICLR, 2023)

Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting. - Yunhao Zhang; Junchi Yan (ICLR, 2023)

QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark. - Xudong Lu; Kaisen Pan; Ge Yan 001; Jiaming Shan; Wenjie Wu; Junchi Yan (ICML, 2023)

Understanding and Generalizing Contrastive Learning from the Inverse Optimal Transport Perspective. - Liangliang Shi; Gu Zhang; Haoyu Zhen; Jintao Fan; Junchi Yan (ICML, 2023)

LinSATNet: The Positive Linear Satisfiability Neural Networks. - Runzhong Wang; Yunhao Zhang; Ziao Guo; Tianyi Chen; Xiaokang Yang 001; Junchi Yan (ICML, 2023)

QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms. - Wenjie Wu; Ge Yan 001; Xudong Lu; Kaisen Pan; Junchi Yan (ICML, 2023)

Quantum 3D Graph Learning with Applications to Molecule Embedding. - Ge Yan 001; Huaijin Wu; Junchi Yan (ICML, 2023)

Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver. - Xinyu Ye; Ge Yan 001; Junchi Yan (ICML, 2023)

Patch-level Contrastive Learning via Positional Query for Visual Pre-training. - Shaofeng Zhang; Qiang Zhou 001; Zhibin Wang 004; Fan Wang 019; Junchi Yan (ICML, 2023)

IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse. - Yang Li 197; Liangliang Shi; Junchi Yan (IJCAI, 2023)

Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach. - Haoxuan Wang 002; Zhiding Yu; Yisong Yue; Animashree Anandkumar; Anqi Liu; Junchi Yan (IJCAI, 2023)

Transformers in Time Series: A Survey. - Qingsong Wen; Tian Zhou 004; Chaoli Zhang 001; Weiqi Chen; Ziqing Ma; Junchi Yan; Liang Sun 001 (IJCAI, 2023)

Towards Variance Reduction for Reinforcement Learning of Industrial Decision-making Tasks: A Bi-Critic based Demand-Constraint Decoupling Approach. - Jianyong Yuan; Jiayi Zhang 003; Zinuo Cai; Junchi Yan (KDD, 2023)

Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations. - Haoyu Geng; Chao Chen 016; Yixuan He; Gang Zeng; Zhaobing Han; Hua Chai; Junchi Yan (KDD, 2023)

GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural Prediction. - Haoyu Geng; Runzhong Wang; Fei Wu 001; Junchi Yan (KDD, 2023)

HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline. - Yang Li 197; Xinyan Chen; Wenxuan Guo; Xijun Li; Wanqian Luo; Junhua Huang; Hui-Ling Zhen; Mingxuan Yuan; Junchi Yan (KDD, 2023)

Robustness Certification for Structured Prediction with General Inputs via Safe Region Modeling in the Semimetric Output Space. - Huaqing Shao; Lanjun Wang; Junchi Yan (KDD, 2023)

VQNE: Variational Quantum Network Embedding with Application to Network Alignment. - Xinyu Ye; Ge Yan 001; Junchi Yan (KDD, 2023)

GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks. - Wentao Zhao; Qitian Wu; Chenxiao Yang; Junchi Yan (KDD, 2023)

Fine-Grained Music Plagiarism Detection: Revealing Plagiarists through Bipartite Graph Matching and a Comprehensive Large-Scale Dataset. - Wenxuan Liu; Tianyao He; Chen Gong 006; Ning Zhang 040; Hua Yang 001; Junchi Yan (ACM Multimedia, 2023)

Reconnecting the Broken Civilization: Patchwork Integration of Fragments from Ancient Manuscripts. - Yuqing Zhang; Zhou Fang; Xinyu Yang 002; Shengyu Zhang 001; Baoyi He; Huaiyong Dou; Junchi Yan; Yongquan Zhang; Fei Wu 001 (ACM Multimedia, 2023)

HubRouter: Learning Global Routing via Hub Generation and Pin-hub Connection. - Xingbo Du; Chonghua Wang; Ruizhe Zhong; Junchi Yan (NeurIPS, 2023)

From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization. - Yang Li 197; Jinpei Guo; Runzhong Wang; Junchi Yan (NeurIPS, 2023)

Relative Entropic Optimal Transport: a (Prior-aware) Matching Perspective to (Unbalanced) Classification. - Liangliang Shi; Haoyu Zhen; Gu Zhang; Junchi Yan (NeurIPS, 2023)

OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping. - Huijie Wang; Tianyu Li; Yang Li 189; Li Chen 008; Chonghao Sima; Zhenbo Liu; Bangjun Wang; Peijin Jia; Yuting Wang; Shengyin Jiang; Feng Wen; Hang Xu 004; et al. (NeurIPS, 2023)

Simplifying and Empowering Transformers for Large-Graph Representations. - Qitian Wu; Wentao Zhao; Chenxiao Yang; Hengrui Zhang; Fan Nie; Haitian Jiang; Yatao Bian; Junchi Yan (NeurIPS, 2023)

H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection. - Yi Yu 010; Xue Yang 005; Qingyun Li; Yue Zhou 005; Feipeng Da; Junchi Yan (NeurIPS, 2023)

Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity. - Zhanpeng Zhou; Yongyi Yang; Xiaojiang Yang; Junchi Yan; Wei Hu (NeurIPS, 2023)

Adaptable Conservative Q-Learning for Offline Reinforcement Learning. - Lyn Qiu; Xu Li 001; Lenghan Liang; Mingming Sun 001; Junchi Yan (PRCV (3), 2023)

MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning. - Nianzu Yang; Kaipeng Zeng; Qitian Wu; Junchi Yan (WWW, 2023)

Policy Pre-training for End-to-end Autonomous Driving via Self-supervised Geometric Modeling. - Penghao Wu; Li Chen 008; Hongyang Li 001; Xiaosong Jia; Junchi Yan; Yu Qiao 001 (CoRR, 2023)

ARS-DETR: Aspect Ratio Sensitive Oriented Object Detection with Transformer. - Ying Zeng; Xue Yang 005; Qingyun Li; Yushi Chen; Junchi Yan (CoRR, 2023)

Rethinking Visual Prompt Learning as Masked Visual Token Modeling. - Ning Liao; Bowen Shi; Min Cao; Xiaopeng Zhang 008; Qi Tian 001; Junchi Yan (CoRR, 2023)

R-Tuning: Regularized Prompt Tuning in Open-Set Scenarios. - Ning Liao; Xiaopeng Zhang 008; Min Cao; Qi Tian 001; Junchi Yan (CoRR, 2023)

Geometric-aware Pretraining for Vision-centric 3D Object Detection. - Linyan Huang; Huijie Wang; Jia Zeng; Shengchuan Zhang; Liujuan Cao; Junchi Yan; Hongyang Li 001 (CoRR, 2023)

H2RBox-v2: Boosting HBox-supervised Oriented Object Detection via Symmetric Learning. - Yi Yu 010; Xue Yang 005; Qingyun Li; Yue Zhou 005; Gefan Zhang; Feipeng Da; Junchi Yan (CoRR, 2023)

Topology Reasoning for Driving Scenes. - Tianyu Li; Li Chen 008; Xiangwei Geng; Huijie Wang; Yang Li 189; Zhenbo Liu; Shengyin Jiang; Yuting Wang; Hang Xu 004; Chunjing Xu; Feng Wen; Ping Luo 002; et al. (CoRR, 2023)

Road Genome: A Topology Reasoning Benchmark for Scene Understanding in Autonomous Driving. - Huijie Wang; Zhenbo Liu; Yang Li 189; Tianyu Li; Li Chen 008; Chonghao Sima; Yuting Wang; Shengyin Jiang; Feng Wen; Hang Xu 004; Ping Luo 002; Junchi Yan; et al. (CoRR, 2023)

HIORE: Leveraging High-order Interactions for Unified Entity Relation Extraction. - Yijun Wang; Changzhi Sun; Yuanbin Wu; Lei Li 005; Junchi Yan; Hao Zhou 012 (CoRR, 2023)

SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving. - Xiangchao Yan; Runjian Chen; Bo Zhang 069; Jiakang Yuan; Xinyu Cai; Botian Shi; Wenqi Shao; Junchi Yan; Ping Luo 002; Yu Qiao 001 (CoRR, 2023)

StructChart: Perception, Structuring, Reasoning for Visual Chart Understanding. - Renqiu Xia; Bo Zhang 069; Haoyang Peng; Ning Liao; Peng Ye 006; Botian Shi; Junchi Yan; Yu Qiao 001 (CoRR, 2023)

How Graph Neural Networks Learn: Lessons from Training Dynamics in Function Space. - Chenxiao Yang; Qitian Wu; David Wipf; Ruoyu Sun 001; Junchi Yan (CoRR, 2023)

Advective Diffusion Transformers for Topological Generalization in Graph Learning. - Qitian Wu; Chenxiao Yang; Kaipeng Zeng; Fan Nie; Michael M. Bronstein; Junchi Yan (CoRR, 2023)

REVO-LION: Evaluating and Refining Vision-Language Instruction Tuning Datasets. - Ning Liao; Shaofeng Zhang; Renqiu Xia; Bo Zhang 069; Min Cao; Yu Qiao 001; Junchi Yan (CoRR, 2023)

LLM4Drive: A Survey of Large Language Models for Autonomous Driving. - Zhenjie Yang; Xiaosong Jia; Hongyang Li 001; Junchi Yan (CoRR, 2023)

RigLSTM: Recurrent Independent Grid LSTM for Generalizable Sequence Learning. - Ziyu Wang; Wenhao Jiang; Zixuan Zhang; Wei Tang; Junchi Yan (CoRR, 2023)

Rethinking and Benchmarking Predict-then-Optimize Paradigm for Combinatorial Optimization Problems. - Haoyu Geng; Hang Ruan; Runzhong Wang; Yang Li 197; Yang Wang; Lei Chen 031; Junchi Yan (CoRR, 2023)

Towards General Loop Invariant Generation via Coordinating Symbolic Execution and Large Language Models. - Chang Liu 021; Xiwei Wu; Yuan Feng 001; Qinxiang Cao; Junchi Yan (CoRR, 2023)

Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervision. - Yu Yi; Xue Yang 005; Qingyun Li; Feipeng Da; Junchi Yan; Jifeng Dai; Yu Qiao 001 (CoRR, 2023)

Unified Batch Normalization: Identifying and Alleviating the Feature Condensation in Batch Normalization and a Unified Framework. - Shaobo Wang 001; Xiangdong Zhang; Junchi Yan (CoRR, 2023)

Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach. - Jinguo Cheng; Ke Li; Yuxuan Liang; Lijun Sun 001; Junchi Yan; Yuankai Wu (CoRR, 2023)

Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future. - Hongyang Li 001; Yang Li 189; Huijie Wang; Jia Zeng; Pinlong Cai; Huilin Xu; Dahua Lin; Junchi Yan; Feng Xu; Lu Xiong; Jingdong Wang 001; Futang Zhu; et al. (CoRR, 2023)

Machine Learning for the Multi-Dimensional Bin Packing Problem: Literature Review and Empirical Evaluation. - Wenjie Wu; Changjun Fan; Jincai Huang 001; Zhong Liu 002; Junchi Yan (CoRR, 2023)

A survey for solving mixed integer programming via machine learning. - Jiayi Zhang 003; Chang Liu 021; Xijun Li; Hui-Ling Zhen; Mingxuan Yuan; Yawen Li 001; Junchi Yan (Neurocomputing, 2023)

F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning. - Wenhao Li 001; Bo Jin 003; Xiangfeng Wang; Junchi Yan; Hongyuan Zha (J. Mach. Learn. Res., 2023)

SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing. - Xue Yang 005; Junchi Yan; Wenlong Liao; Xiaokang Yang 001; Jin Tang 001; Tao He (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Progressive Context-Aware Graph Feature Learning for Target Re-Identification. - Min Cao; Cong Ding 013; Chen Chen 036; Hao Dou; Xiyuan Hu; Junchi Yan (IEEE Trans. Multim., 2023)

Detecting Rotated Objects as Gaussian Distributions and its 3-D Generalization. - Xue Yang 005; Gefan Zhang; Xiaojiang Yang; Yue Zhou 005; Wentao Wang 009; Jin Tang 001; Tao He; Junchi Yan (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Guest Editorial Robust Learning of Spatio-Temporal Point Processes: Modeling, Algorithm, and Applications. - Junchi Yan; Hongteng Xu; Liangda Li; Mehrdad Farajtabar; Xiaokang Yang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Learning Regularized Noise Contrastive Estimation for Robust Network Embedding. - Hao Xiong 003; Junchi Yan; Zengfeng Huang (IEEE Trans. Knowl. Data Eng., 2023)

Combinatorial Learning of Robust Deep Graph Matching: An Embedding Based Approach. - Runzhong Wang; Junchi Yan; Xiaokang Yang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Learning Robust Deep State Space for Unsupervised Anomaly Detection in Contaminated Time-Series. - Longyuan Li; Junchi Yan; Qingsong Wen; Yaohui Jin; Xiaokang Yang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Learning Generative RNN-ODE for Collaborative Time-Series and Event Sequence Forecasting. - Longyuan Li; Junchi Yan; Yunhao Zhang; Jihai Zhang 002; Jie Bao; Yaohui Jin; Xiaokang Yang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Unsupervised Learning of Graph Matching With Mixture of Modes via Discrepancy Minimization. - Runzhong Wang; Junchi Yan; Xiaokang Yang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Learning High-Order Graph Convolutional Networks via Adaptive Layerwise Aggregation Combination. - Tianqi Zhang; Qitian Wu; Junchi Yan (IEEE Trans. Neural Networks Learn. Syst., 2023)

Learning Deep Generative Clustering via Mutual Information Maximization. - Xiaojiang Yang; Junchi Yan; Yu Cheng; Yizhe Zhang (IEEE Trans. Neural Networks Learn. Syst., 2023)

Machine Learning Methods in Solving the Boolean Satisfiability Problem. - Wenxuan Guo; Hui-Ling Zhen; Xijun Li; Wanqian Luo; Mingxuan Yuan; Yaohui Jin; Junchi Yan (Mach. Intell. Res., 2023)

HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding. - Xiaosong Jia; Penghao Wu; Li Chen 008; Yu Liu 015; Hongyang Li 001; Junchi Yan (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

DIY Your EasyNAS for Vision: Convolution Operation Merging, Map Channel Reducing, and Search Space to Supernet Conversion Tooling. - Xiaoxing Wang; Zhirui Lian; Jiale Lin; Chao Xue; Junchi Yan (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Learning Dynamic Graph for Overtaking Strategy in Autonomous Driving. - Xuemin Hu; Yanfang Liu; Bo Tang 011; Junchi Yan; Long Chen 005 (IEEE Trans. Intell. Transp. Syst., 2023)

Robust Mesh Representation Learning via Efficient Local Structure-Aware Anisotropic Convolution. - Zhongpai Gao; Junchi Yan; Guangtao Zhai; Juyong Zhang; Xiaokang Yang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization. - Danning Lao; Qi Liu; Jiazi Bu; Junchi Yan; Wei Shen (AAAI, 2024)

Double-Bounded Optimal Transport for Advanced Clustering and Classification. - Liangliang Shi; Zhaoqi Shen; Junchi Yan (AAAI, 2024)

Dynamic Reactive Spiking Graph Neural Network. - Han Zhao; Xu Yang 019; Cheng Deng; Junchi Yan (AAAI, 2024)

PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. - Ruizhe Zhong; Junjie Ye; Zhentao Tang; Shixiong Kai; Mingxuan Yuan; Jianye Hao; Junchi Yan (AAAI, 2024)

Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models. - Xudong Lu; Qi Liu; Yuhui Xu; Aojun Zhou; Siyuan Huang 004; Bo Zhang 069; Junchi Yan; Hongsheng Li 001 (ACL (1), 2024)

CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion. - Qibing Ren; Chang Gao; Jing Shao; Junchi Yan; Xin Tan 002; Wai Lam; Lizhuang Ma (ACL (Findings), 2024)

Message from the Technical Program Chairs: IEEE BDS 2024. - Hiroyuki Fujioka; Katerina Potika; Junchi Yan (BigDataService, 2024)

Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning. - Hao Xiong 003; Yehui Tang; Xinyu Ye; Junchi Yan (CVPR, 2024)

PointOBB: Learning Oriented Object Detection via Single Point Supervision. - Junwei Luo; Xue Yang 005; Yi Yu 010; Qingyun Li; Junchi Yan; Yansheng Li 001 (CVPR, 2024)

Theoretically Achieving Continuous Representation of Oriented Bounding Boxes. - Zi-Kai Xiao; Guo-Ye Yang; Xue Yang 005; Tai-Jiang Mu; Junchi Yan; Shi-Min Hu 001 (CVPR, 2024)

Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-End Oriented Object Detection with Single Point Supervision. - Yi Yu 010; Xue Yang 005; Qingyun Li; Feipeng Da; Jifeng Dai; Yu Qiao 001; Junchi Yan (CVPR, 2024)

Boosting Order-Preserving and Transferability for Neural Architecture Search: A Joint Architecture Refined Search and Fine-Tuning Approach. - Beichen Zhang; Xiaoxing Wang; Xiaohan Qin; Junchi Yan (CVPR, 2024)

Grounding and Enhancing Grid-based Models for Neural Fields. - Zelin Zhao; Fenglei Fan; Wenlong Liao; Junchi Yan (CVPR, 2024)

Think2Drive: Efficient Reinforcement Learning by Thinking with Latent World Model for Autonomous Driving (in CARLA-V2). - Qifeng Li; Xiaosong Jia; Shaobo Wang 001; Junchi Yan (ECCV (45), 2024)

LLMCO4MR: LLMs-Aided Neural Combinatorial Optimization for Ancient Manuscript Restoration from Fragments with Case Studies on Dunhuang. - Yuqing Zhang; Hangqi Li; Shengyu Zhang 001; Runzhong Wang; Baoyi He; Huaiyong Dou; Junchi Yan; Yongquan Zhang; Fei Wu 001 (ECCV (75), 2024)

PhiloGPT: A Philology-Oriented Large Language Model for Ancient Chinese Manuscripts with Dunhuang as Case Study. - Yuqing Zhang; Baoyi He; Yihan Chen; Hangqi Li; Han Yue; Shengyu Zhang 001; Huaiyong Dou; Junchi Yan; Zemin Liu; Yongquan Zhang; Fei Wu 001 (EMNLP, 2024)

Alpharotate: A Rotation Detection Benchmark Using Tensorflow. - Xue Yang 005; Yue Zhou 005; Wenlong Liao; Tao He; Junchi Yan (ICASSP, 2024)

GMTR: Graph Matching Transformers. - Jinpei Guo; Shaofeng Zhang; Runzhong Wang; Chang Liu 021; Junchi Yan (ICASSP, 2024)

View Crafting For Instance-Level Representation from Scene Images. - Bin Liu 054; Yuchen Luo; Shaofeng Zhang; Zehuan Yuan; Changdong Xu; Boan Chen; Junchi Yan (ICASSP, 2024)

Efficient Architecture Search for Real-Time Instance Segmentation. - Renqiu Xia; Dongyuan Zhang; Yixin Dong; Juanping Zhao; Wenlong Liao; Tao He; Junchi Yan (ICASSP, 2024)

JigsawPlanner: Jigsaw-like Floorplanner for Eliminating Whitespace and Overlap among Complex Rectilinear Modules. - Xingbo Du; Ruizhe Zhong; Shixiong Kai; Zhentao Tang; Siyuan Xu; Jianye Hao; Mingxuan Yuan; Junchi Yan (ICCAD, 2024)

On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Job Scheduling. - Wenjie Wu; Yiquan Wang; Ge Yan 001; Yuming Zhao; Bo Zhang 069; Junchi Yan (ICCAD, 2024)

Message from the Program Chairs ICEBE 2024. - Omar Khadeer Hussain; Junchi Yan; Shang-Pin Ma; Salem Alkhalaf; Osama Alfarraj (ICEBE, 2024)

Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms. - Ge Yan 001; Hongxu Chen; Kaisen Pan; Junchi Yan (ICLR, 2024)

Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space. - Hao Xiong 003; Yehui Tang; Yunlin He; Wei Tan; Junchi Yan (ICLR, 2024)

Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory. - Yiting Chen 003; Zhanpeng Zhou; Junchi Yan (ICLR, 2024)

ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation. - Bo Zhang 069; Xinyu Cai; Jiakang Yuan; Donglin Yang; Jianfei Guo; Xiangchao Yan; Renqiu Xia; Botian Shi; Min Dou; Tao Chen 003; Si Liu 001; Junchi Yan; et al. (ICLR, 2024)

MixSATGEN: Learning Graph Mixing for SAT Instance Generation. - Xinyan Chen; Yang Li 197; Runzhong Wang; Junchi Yan (ICLR, 2024)

LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving. - Tianyu Li; Peijin Jia; Bangjun Wang; Li Chen 008; Kun Jiang; Junchi Yan; Hongyang Li 001 (ICLR, 2024)

L2P-MIP: Learning to Presolve for Mixed Integer Programming. - Chang Liu 021; Zhichen Dong; Haobo Ma; Weilin Luo; Xijun Li; Bowen Pang; Jia Zeng; Junchi Yan (ICLR, 2024)

M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering. - Jiaxin Lu 001; Zetian Jiang; Tianzhe Wang; Junchi Yan (ICLR, 2024)

InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes. - Jiawei Sun; Kailai Li 002; Ruoxin Chen; Jie Li 002; Chentao Wu; Yue Ding 001; Junchi Yan (ICLR, 2024)

Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark. - Yehui Tang; Hao Xiong 003; Nianzu Yang; Tailong Xiao; Junchi Yan (ICLR, 2024)

EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model. - Huaijin Wu; Wei Liu 005; Yatao Bian; Jiaxiang Wu 001; Nianzu Yang; Junchi Yan (ICLR, 2024)

Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach. - Shaofeng Zhang; Jinfa Huang; Qiang Zhou 001; Zhibin Wang 004; Fan Wang 019; Jiebo Luo 001; Junchi Yan (ICLR, 2024)

Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach. - Changwen Zhang; Wenli Ouyang; Hao Yuan 002; Liming Gong; Yong Sun; Ziao Guo; Zhichen Dong; Junchi Yan (ICLR, 2024)

Graph Out-of-Distribution Detection Goes Neighborhood Shaping. - Tianyi Bao; Qitian Wu; Zetian Jiang; Yiting Chen 003; Jiawei Sun; Junchi Yan (ICML, 2024)

ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation. - Ziao Guo; Yang Li 197; Chang Liu 021; Wenli Ouyang; Junchi Yan (ICML, 2024)

OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport. - Liangliang Shi; Jack Fan; Junchi Yan (ICML, 2024)

SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification. - Yehui Tang; Nianzu Yang; Mabiao Long; Junchi Yan (ICML, 2024)

Learning Divergence Fields for Shift-Robust Graph Representations. - Qitian Wu; Fan Nie; Chenxiao Yang; Junchi Yan (ICML, 2024)

How Graph Neural Networks Learn: Lessons from Training Dynamics. - Chenxiao Yang; Qitian Wu; David Wipf; Ruoyu Sun 001; Junchi Yan (ICML, 2024)

MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation. - Nianzu Yang; Kaipeng Zeng; Haotian Lu 009; Yexin Wu; Zexin Yuan; Danni Chen; Shengdian Jiang; Jiaxiang Wu 001; Yimin Wang; Junchi Yan (ICML, 2024)

MILP-FBGen: LP/MILP Instance Generation with Feasibility/Boundedness. - Yahong Zhang; Chenchen Fan; Donghui Chen; Congrui Li; Wenli Ouyang; Mingda Zhu; Junchi Yan (ICML, 2024)

UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis. - Yunhao Zhang; Minghao Liu; Shengyang Zhou; Junchi Yan (ICML, 2024)

On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm. - Zhanpeng Zhou; Zijun Chen; Yilan Chen 002; Bo Zhang 069; Junchi Yan (ICML, 2024)

Certified Robustness on Visual Graph Matching via Searching Optimal Smoothing Range. - Huaqing Shao; Lanjun Wang; Yongwei Wang; Qibing Ren; Junchi Yan (KDD, 2024)

GeoMix: Towards Geometry-Aware Data Augmentation. - Wentao Zhao; Qitian Wu; Chenxiao Yang; Junchi Yan (KDD, 2024)

CalibRBEV: Multi-Camera Calibration via Reversed Bird's-eye-view Representations for Autonomous Driving. - Wenlong Liao; Sunyuan Qiang; Xianfei Li; Xiaolei Chen; Haoyu Wang; Yanyan Liang 001; Junchi Yan; Tao He; Pai Peng (ACM Multimedia, 2024)

Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz. - Ge Yan 001; Mengfei Ran; Ruocheng Wang; Kaisen Pan; Junchi Yan (NeurIPS, 2024)

Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation. - Jian Hu 002; Jiayi Lin 002; Junchi Yan; Shaogang Gong (NeurIPS, 2024)

Unveiling The Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance. - Yiting Chen 003; Jiazi Bu; Junchi Yan (NeurIPS, 2024)

What Rotary Position Embedding Can Tell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-level Semantic Information. - Yiting Chen 003; Junchi Yan (NeurIPS, 2024)

Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation. - Qingwen Bu; Jia Zeng; Li Chen 008; Yanchao Yang; Guyue Zhou; Junchi Yan; Ping Luo 002; Heming Cui; Yi Ma; Hongyang Li 001 (NeurIPS, 2024)

Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime. - Haoyu Geng; Hang Ruan; Runzhong Wang; Yang Li 197; Yang Wang; Lei Chen 031; Junchi Yan (NeurIPS, 2024)

Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving. - Xiaosong Jia; Zhenjie Yang; Qifeng Li; Zhiyuan Zhang; Junchi Yan (NeurIPS, 2024)

Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization. - Yang Li 197; Jinpei Guo; Runzhong Wang; Hongyuan Zha; Junchi Yan (NeurIPS, 2024)

Towards General Loop Invariant Generation: A Benchmark of Programs with Memory Manipulation. - Chang Liu 021; Xiwei Wu; Yuan Feng 001; Qinxiang Cao; Junchi Yan (NeurIPS, 2024)

Boundary Matters: A Bi-Level Active Finetuning Method. - Han Lu; Yichen Xie 002; Xiaokang Yang 001; Junchi Yan (NeurIPS, 2024)

ReLIZO: Sample Reusable Linear Interpolation-based Zeroth-order Optimization. - Xiaoxing Wang; Xiaohan Qin; Xiaokang Yang 001; Junchi Yan (NeurIPS, 2024)

QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation. - Huaijin Wu; Xinyu Ye; Junchi Yan (NeurIPS, 2024)

Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy. - Hancheng Ye; Jiakang Yuan; Renqiu Xia; Xiangchao Yan; Tao Chen 003; Junchi Yan; Botian Shi; Bo Zhang 069 (NeurIPS, 2024)

PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders. - Xiangdong Zhang; Shaofeng Zhang; Junchi Yan (NeurIPS, 2024)

Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation. - Xinhao Zheng; Yang Li 197; Cunxin Fan; Huaijin Wu; Xinhao Song; Junchi Yan (NeurIPS, 2024)

FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation. - Ruizhe Zhong; Xingbo Du; Shixiong Kai; Zhentao Tang; Siyuan Xu; Jianye Hao; Mingxuan Yuan; Junchi Yan (NeurIPS, 2024)

3D Data Augmentation for Driving Scenes on Camera. - Wenwen Tong; Jiangwei Xie; Tianyu Li; Yang Li; Hanming Deng; Bo Dai 002; Lewei Lu; Hao Zhao 002; Junchi Yan; Hongyang Li 001 (PRCV (6), 2024)

Graph Out-of-Distribution Generalization via Causal Intervention. - Qitian Wu; Fan Nie; Chenxiao Yang; Tianyi Bao; Junchi Yan (WWW, 2024)

Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions. - Wujiang Xu; Qitian Wu; Runzhong Wang; Mingming Ha; Qiongxu Ma; Linxun Chen; Bing Han 023; Junchi Yan (WWW, 2024)

Large circuit models: opportunities and challenges. - Lei Chen; Yiqi Chen; Zhufei Chu; Wenji Fang; Tsung-Yi Ho; Ru Huang 001; Yu Huang 005; Sadaf Khan; Min Li; Xingquan Li; Yu Li; Yun Liang 001; et al. (Sci. China Inf. Sci., 2024)

Erratum to: Large circuit models: opportunities and challenges. - Lei Chen; Yiqi Chen; Zhufei Chu; Wenji Fang; Tsung-Yi Ho; Ru Huang 001; Yu Huang 005; Sadaf Khan; Min Li; Xingquan Li; Yu Li; Yun Liang 001; et al. (Sci. China Inf. Sci., 2024)

Machine Learning Insides OptVerse AI Solver: Design Principles and Applications. - Xijun Li; Fangzhou Zhu; Hui-Ling Zhen; Weilin Luo; Meng Lu; Yimin Huang; Zhenan Fan; Zirui Zhou; Yufei Kuang; Zhihai Wang; Zijie Geng; Yang Li 197; et al. (CoRR, 2024)

LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation. - Ruizhe Zhong; Xingbo Du; Shixiong Kai; Zhentao Tang; Siyuan Xu; Hui-Ling Zhen; Jianye Hao; Qiang Xu 001; Mingxuan Yuan; Junchi Yan (CoRR, 2024)

Knowledge Graph Supported Benchmark and Video Captioning for Basketball. - Zeyu Xi; Ge Shi 002; Lifang Wu; Xuefen Li; Junchi Yan; Liang Wang 001; Zilin Liu (CoRR, 2024)

Cross-Task Linearity Emerges in the Pretraining-Finetuning Paradigm. - Zhanpeng Zhou; Zijun Chen; Yilan Chen 002; Bo Zhang 069; Junchi Yan (CoRR, 2024)

GSINA: Improving Subgraph Extraction for Graph Invariant Learning via Graph Sinkhorn Attention. - Fangyu Ding; Haiyang Wang; Zhixuan Chu; Tianming Li; Zhaoping Hu; Junchi Yan (CoRR, 2024)

ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning. - Renqiu Xia; Bo Zhang 069; Hancheng Ye; Xiangchao Yan; Qi Liu; Hongbin Zhou; Zijun Chen; Min Dou; Botian Shi; Junchi Yan; Yu Qiao 001 (CoRR, 2024)

Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2). - Qifeng Li; Xiaosong Jia; Shaobo Wang 001; Junchi Yan (CoRR, 2024)

Rethinking Classifier Re-Training in Long-Tailed Recognition: A Simple Logits Retargeting Approach. - Han Lu; Siyu Sun; Yichen Xie 002; Liqing Zhang 001; Xiaokang Yang 001; Junchi Yan (CoRR, 2024)

ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving. - Han Lu; Xiaosong Jia; Yichen Xie 002; Wenlong Liao; Xiaokang Yang 001; Junchi Yan (CoRR, 2024)

Exploring Safety Generalization Challenges of Large Language Models via Code. - Qibing Ren; Chang Gao; Jing Shao; Junchi Yan; Xin Tan 002; Yu Qiao 001; Wai Lam; Lizhuang Ma (CoRR, 2024)

Boundary Matters: A Bi-Level Active Finetuning Framework. - Han Lu; Yichen Xie 002; Xiaokang Yang 001; Junchi Yan (CoRR, 2024)

AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving. - Xiaosong Jia; Shaoshuai Shi; Zijun Chen; Li Jiang; Wenlong Liao; Tao He; Junchi Yan (CoRR, 2024)

On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Program Scheduling. - Wenjie Wu; Yiquan Wang; Ge Yan 001; Yuming Zhao; Junchi Yan (CoRR, 2024)

TerDiT: Ternary Diffusion Models with Transformers. - Xudong Lu; Aojun Zhou; Ziyi Lin; Qi Liu; Yuhui Xu; Renrui Zhang; Yafei Wen; Shuai Ren; Peng Gao 007; Junchi Yan; Hongsheng Li 001 (CoRR, 2024)

Towards Vision-Language Geo-Foundation Model: A Survey. - Yue Zhou 005; Litong Feng; Yiping Ke; Xue Jiang 001; Junchi Yan; Xue Yang 005; Wayne Zhang 001 (CoRR, 2024)

Scene Graph Generation in Large-Size VHR Satellite Imagery: A Large-Scale Dataset and A Context-Aware Approach. - Yansheng Li 001; Linlin Wang; Tingzhu Wang; Xue Yang 005; Junwei Luo; Qi Wang 009; Youming Deng; Wenbin Wang; Xian Sun; Haifeng Li 007; Bo Dang 002; Yongjun Zhang 002; et al. (CoRR, 2024)

DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models. - Renqiu Xia; Song Mao; Xiangchao Yan; Hongbin Zhou; Bo Zhang 069; Haoyang Peng; Jiahao Pi; Daocheng Fu; Wenjie Wu; Hancheng Ye; Shiyang Feng; Bin Wang 065; et al. (CoRR, 2024)

Quantum Circuit Synthesis and Compilation Optimization: Overview and Prospects. - Ge Yan 001; Wenjie Wu; Chen Yuheng; Kaisen Pan; Xudong Lu; Zhou Zixiang; Wang Yuhan; Ruocheng Wang; Junchi Yan (CoRR, 2024)

FlatFusion: Delving into Details of Sparse Transformer-based Camera-LiDAR Fusion for Autonomous Driving. - Yutao Zhu 008; Xiaosong Jia; Xinyu Yang 002; Junchi Yan (CoRR, 2024)

Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation. - Shaobo Wang 001; Yantai Yang; Qilong Wang; Kaixin Li; Linfeng Zhang 001; Junchi Yan (CoRR, 2024)

Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks. - Runzhong Wang; Yang Li 197; Junchi Yan; Xiaokang Yang 001 (CoRR, 2024)

SGFormer: Single-Layer Graph Transformers with Approximation-Free Linear Complexity. - Qitian Wu; Kai Yang; Hengrui Zhang; David Wipf; Junchi Yan (CoRR, 2024)

Neural Message Passing Induced by Energy-Constrained Diffusion. - Qitian Wu; David Wipf; Junchi Yan (CoRR, 2024)

DiFSD: Ego-Centric Fully Sparse Paradigm with Uncertainty Denoising and Iterative Refinement for Efficient End-to-End Autonomous Driving. - Haisheng Su; Wei Wu 021; Junchi Yan (CoRR, 2024)

Derail Yourself: Multi-turn LLM Jailbreak Attack through Self-discovered Clues. - Qibing Ren; Hao Li 069; Dongrui Liu; Zhanxu Xie; Xiaoya Lu; Yu Qiao 001; Lei Sha; Junchi Yan; Lizhuang Ma; Jing Shao (CoRR, 2024)

Exploiting Unlabeled Data with Multiple Expert Teachers for Open Vocabulary Aerial Object Detection and Its Orientation Adaptation. - Yan Li 098; Weiwei Guo; Xue Yang 005; Ning Liao; Shaofeng Zhang; Yi Yu 010; Wenxian Yu; Junchi Yan (CoRR, 2024)

Bench2Drive-R: Turning Real World Data into Reactive Closed-Loop Autonomous Driving Benchmark by Generative Model. - Junqi You; Xiaosong Jia; Zhiyuan Zhang; Yutao Zhu 008; Junchi Yan (CoRR, 2024)

Pygmtools: A Python Graph Matching Toolkit. - Runzhong Wang; Ziao Guo; Wenzheng Pan; Jiale Ma; Yikai Zhang; Nan Yang; Qi Liu; Longxuan Wei; Hanxue Zhang; Chang Liu 021; Zetian Jiang; Xiaokang Yang 001; et al. (J. Mach. Learn. Res., 2024)

ARS-DETR: Aspect Ratio-Sensitive Detection Transformer for Aerial Oriented Object Detection. - Ying Zeng; Yushi Chen; Xue Yang 005; Qingyun Li; Junchi Yan (IEEE Trans. Geosci. Remote. Sens., 2024)

Progressive reinforcement learning for video summarization. - Guolong Wang 001; Xun Wu; Junchi Yan (Inf. Sci., 2024)

ScaleGCN: Efficient and Effective Graph Convolution via Channel-Wise Scale Transformation. - Tianqi Zhang; Qitian Wu; Junchi Yan; Yunan Zhao; Bing Han 023 (IEEE Trans. Neural Networks Learn. Syst., 2024)

EasyDGL: Encode, Train and Interpret for Continuous-Time Dynamic Graph Learning. - Chao Chen 016; Haoyu Geng; Nianzu Yang; Xiaokang Yang 001; Junchi Yan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

NCMNet: Neighbor Consistency Mining Network for Two-View Correspondence Pruning. - Xin Liu 091; Rong Qin 001; Junchi Yan; Jufeng Yang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Int2Planner: An Intention-based Multi-modal Motion Planner for Integrated Prediction and Planning. - Xiaolei Chen; Junchi Yan; Wenlong Liao; Tao He; Pai Peng (AAAI, 2025)

Optimal Control Operator Perspective and a Neural Adaptive Spectral Method. - Mingquan Feng; Zhijie Chen; Yixin Huang; Yizhou Liu; Junchi Yan (AAAI, 2025)

LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts. - Qibing Ren; Hao Li 069; Dongrui Liu; Zhanxu Xie; Xiaoya Lu; Yu Qiao 001; Lei Sha; Junchi Yan; Lizhuang Ma; Jing Shao (ACL (1), 2025)

Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives. - Zhihu Wang; Shiwan Zhao; Yu Wang 093; Heyuan Huang; Sitao Xie; Yubo Zhang; Jiaxin Shi; Zhixing Wang; Hongyan Li; Junchi Yan (ACL (Findings), 2025)

Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances. - Yi Yu 010; Botao Ren; Peiyuan Zhang; Mingxin Liu; Junwei Luo; Shaofeng Zhang; Feipeng Da; Junchi Yan; Xue Yang 005 (CVPR, 2025)

UniMamba: Unified Spatial-Channel Representation Learning with Group-Efficient Mamba for LiDAR-based 3D Object Detection. - Xin Jin 014; Haisheng Su; Kai Liu; Cong Ma; Wei Wu 021; Fei Hui; Junchi Yan (CVPR, 2025)

Towards Consistent Multi-Task Learning: Unlocking the Potential of Task-Specific Parameters. - Xiaohan Qin; Xiaoxing Wang; Junchi Yan (CVPR, 2025)

Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction. - Xiaohan Qin; Xiaoxing Wang; Junchi Yan (CVPR, 2025)

RoboSense: Large-scale Dataset and Benchmark for Egocentric Robot Perception and Navigation in Crowded and Unstructured Environments. - Haisheng Su; Feixiang Song; Cong Ma; Wei Wu 021; Junchi Yan (CVPR, 2025)

Melody Structure Transfer Network: Generating Music with Separable Self-Attention. - Junlin Wu; Ning Zhang 040; Cheng Zhong; Boan Chen; Huanxi Liu; Junchi Yan (ICASSP, 2025)

LaTeXNet: A Specialized Model for Converting Visual Tables and Equations to LaTeX Code. - Renqiu Xia; Hongbin Zhou; Ziming Feng; Huanxi Liu; Boan Chen; Bo Zhang; Junchi Yan (ICASSP, 2025)

Towards Green VAE: A Light Pixel-weighting Technique to Enhance Variational AutoEncoder. - Cheng Zhong; Junlin Wu; Ziming Feng; Boan Chen; Junchi Yan (ICASSP, 2025)

Graph Pooling via Dropping Task-Irrelevant Nodes. - Cheng Zhong; Shaofeng Zhang; Feng Zhu 006; Rui Zhao 001; Xiaokang Yang 001; Junchi Yan (ICASSP, 2025)

Regularizing Energy among Training Samples for Out-of-Distribution Generalization. - Yiting Chen 003; Qitian Wu; Junchi Yan (ICLR, 2025)

Beyond Circuit Connections: A Non-Message Passing Graph Transformer Approach for Quantum Error Mitigation. - Tianyi Bao; Xinyu Ye; Hang Ruan; Chang Liu 021; Wenjie Wu; Junchi Yan (ICLR, 2025)

PhysPDE: Rethinking PDE Discovery and a Physical Hypothesis Selection Benchmark. - Mingquan Feng; Yixin Huang; Yizhou Liu; Bofang Jiang; Junchi Yan (ICLR, 2025)

SINGER: Stochastic Network Graph Evolving Operator for High Dimensional PDEs. - Mingquan Feng; Yixin Huang; Weixin Liao; Yuhong Liu; Yizhou Liu; Junchi Yan (ICLR, 2025)

DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving. - Xiaosong Jia; Junqi You; Zhiyuan Zhang; Junchi Yan (ICLR, 2025)

Learning Structured Universe Graph with Outlier OOD Detection for Partial Matching. - Zetian Jiang; Jiaxin Lu 001; Haizhao Fan; Tianzhe Wang; Junchi Yan (ICLR, 2025)

Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design Space of Learning and Search. - Yang Li 197; Jiale Ma; Wenzheng Pan; Runzhong Wang; Haoyu Geng; Nianzu Yang; Junchi Yan (ICLR, 2025)

Rethinking and Improving Autoformalization: Towards a Faithful Metric and a Dependency Retrieval-based Approach. - Qi Liu; Xinhao Zheng; Xudong Lu; Qinxiang Cao; Junchi Yan (ICLR, 2025)

UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP. - Wenzheng Pan; Hao Xiong 003; Jiale Ma; Wentao Zhao; Yang Li 197; Junchi Yan (ICLR, 2025)

Optimal Flow Transport and its Entropic Regularization: a GPU-friendly Matrix Iterative Algorithm for Flow Balance Satisfaction. - Liangliang Shi; Yufeng Li; Kaipeng Zeng; Yihui Tu; Junchi Yan (ICLR, 2025)

SelKD: Selective Knowledge Distillation via Optimal Transport Perspective. - Liangliang Shi; Zhengyan Shi; Junchi Yan (ICLR, 2025)

Rethinking Classifier Re-Training in Long-Tailed Recognition: Label Over-Smooth Can Balance. - Siyu Sun; Han Lu; Jiangtong Li; Yichen Xie 002; Tianjiao Li; Xiaokang Yang 001; Liqing Zhang 001; Junchi Yan (ICLR, 2025)

QuaDiM: A Conditional Diffusion Model For Quantum State Property Estimation. - Yehui Tang; Mabiao Long; Junchi Yan (ICLR, 2025)

Pedestrian Motion Reconstruction: A Large-scale Benchmark via Mixed Reality Rendering with Multiple Perspectives and Modalities. - Yichen Wang; Yiyi Zhang; Xinhao Hu; Li Niu 002; Jianfu Zhang 003; Yasushi Makihara; Yasushi Yagi; Pai Peng; Wenlong Liao; Tao He; Junchi Yan; Liqing Zhang 001 (ICLR, 2025)

HShare: Fast LLM Decoding by Hierarchical Key-Value Sharing. - Huaijin Wu; Lianqiang Li; Hantao Huang; Tu Yi; Jihang Zhang; Minghui Yu; Junchi Yan (ICLR, 2025)

GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training. - Renqiu Xia; Mingsheng Li; Hancheng Ye; Wenjie Wu; Hongbin Zhou; Jiakang Yuan; Tianshuo Peng; Xinyu Cai; Xiangchao Yan; Bin Wang 065; Conghui He; Botian Shi; et al. (ICLR, 2025)

Trajectory-LLM: A Language-based Data Generator for Trajectory Prediction in Autonomous Driving. - Kairui Yang; Zihao Guo; Gengjie Lin; Haotian Dong; Zhao Huang; Yipeng Wu; Die Zuo; Jibin Peng; Ziyuan Zhong; Xin Wang 118; Qing Guo 005; Xiaosong Jia; et al. (ICLR, 2025)

On Designing General and Expressive Quantum Graph Neural Networks with Applications to MILP Instance Representation. - Xinyu Ye; Hao Xiong 003; Jianhao Huang; Ziang Chen; Jia Wang; Junchi Yan (ICLR, 2025)

BTBS-LNS: Binarized-Tightening, Branch and Search on Learning LNS Policies for MIP. - Hao Yuan 002; Wenli Ouyang; Changwen Zhang; Yong Sun; Liming Gong; Junchi Yan (ICLR, 2025)

CR2PQ: Continuous Relative Rotary Positional Query for Dense Visual Representation Learning. - Shaofeng Zhang; Qiang Zhou 001; Sitong Wu; Haoru Tan; Zhibin Wang 004; Jinfa Huang; Junchi Yan (ICLR, 2025)

Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training. - Zhanpeng Zhou; Mingze Wang; Yuchen Mao; Bingrui Li; Junchi Yan (ICLR, 2025)

Efficient Packaging Line Object Counting by Cross-Frame Association With Wavelet Convolutions and Trajectory Compensation. - Longxuan Wei; Yutao Zhu 008; Yufeng Li; Ming Qian; Xiang Zuo; Boan Chen; Shiyu Liang; Zhouhan Lin; Junchi Yan (IEEE Access, 2025)

Understanding and mitigating dimensional collapse of Graph Contrastive Learning: A non-maximum removal approach. - Jiawei Sun; Ruoxin Chen; Jie Li 002; Yue Ding 001; Chentao Wu; Zhi Liu 002; Junchi Yan (Neural Networks, 2025)

On neural architecture search and hyperparameter optimization: A max-flow based approach. - Chao Xue; Jiaxing Li; Xiaoxing Wang; Yibing Zhan; Junchi Yan; Chun-Guang Li (Neural Networks, 2025)

Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models. - Yang Zhang; Chenjia Bai; Bin Zhao 001; Junchi Yan; Xiu Li 001; Xuelong Li 001 (Trans. Mach. Learn. Res., 2025)

PointOBB-v3: Expanding Performance Boundaries of Single Point-Supervised Oriented Object Detection. - Peiyuan Zhang; Junwei Luo; Xue Yang 005; Yi Yu 010; Qingyun Li; Yue Zhou 005; Xiaosong Jia; Xudong Lu; Jingdong Chen; Xiang Li; Junchi Yan; Yansheng Li 001 (CoRR, 2025)

Unsupervised Video Moment Retrieval with Knowledge-Based Pseudo-Supervision Construction. - Guolong Wang 001; Xun Wu; Xun Tu 001; Zhaoyuan Liu; Junchi Yan (ACM Trans. Inf. Syst., 2025)

DiOpt: Self-supervised Diffusion for Constrained Optimization. - Shutong Ding; Yimiao Zhou; Ke Hu; Xi Yao; Junchi Yan; Xiaoying Tang 002; Ye Shi 001 (CoRR, 2025)

The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training. - Jinbo Wang 003; Mingze Wang; Zhanpeng Zhou; Junchi Yan; Weinan E; Lei Wu (CoRR, 2025)

The Decoupling Concept Bottleneck Model. - Rui Zhang 052; Xingbo Du; Junchi Yan; Shihua Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Rethinking Urban Mobility Prediction: A Multivariate Time Series Forecasting Approach. - Jinguo Cheng; Ke Li; Yuxuan Liang; Lijun Sun 001; Junchi Yan; Yuankai Wu (IEEE Trans. Intell. Transp. Syst., 2025)

Rethinking Video Tokenization: A Conditioned Diffusion-based Approach. - Nianzu Yang; Pandeng Li; Liming Zhao; Yang Li 197; Chen-Wei Xie; Yehui Tang; Xudong Lu; Zhihang Liu; Yun Zheng; Yu Liu 015; Junchi Yan (CoRR, 2025)

AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems. - AgiBot-World-Contributors; Qingwen Bu; Jisong Cai; Li Chen 008; Xiuqi Cui; Yan Ding; Siyuan Feng; Shenyuan Gao; Xindong He; Xu Huang; Shu Jiang; Yuxin Jiang; et al. (CoRR, 2025)

On the Cone Effect in the Learning Dynamics. - Zhanpeng Zhou; Yongyi Yang; Jie Ren; Mahito Sugiyama; Junchi Yan (CoRR, 2025)

STAR: A First-Ever Dataset and a Large-Scale Benchmark for Scene Graph Generation in Large-Size Satellite Imagery. - Yansheng Li 001; Linlin Wang; Tingzhu Wang; Xue Yang 005; Junwei Luo; Qi Wang 009; Youming Deng; Wenbin Wang; Xian Sun; Haifeng Li 007; Bo Dang 002; Yongjun Zhang 002; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch Learning. - Zheng Yang; Ruoxin Chen; Zhiyuan Yan; Ke-Yue Zhang; Xinghe Fu; Shuang Wu; Xiujun Shu; Taiping Yao; Junchi Yan; Shouhong Ding; Xi Li (CoRR, 2025)

Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing. - Xiangyu Zhao; Peiyuan Zhang; Kexian Tang; Hao Li 069; Zicheng Zhang; Guangtao Zhai; Junchi Yan; Hua Yang 001; Xue Yang 005; Haodong Duan (CoRR, 2025)

TrustGeoGen: Scalable and Formal-Verified Data Engine for Trustworthy Multi-modal Geometric Problem Solving. - Daocheng Fu; Zijun Chen; Renqiu Xia; Qi Liu; Yuan Feng 001; Hongbin Zhou; Renrui Zhang; Shiyang Feng; Peng Gao 007; Junchi Yan; Botian Shi; Bo Zhang 069; et al. (CoRR, 2025)

Interleave-VLA: Enhancing Robot Manipulation with Interleaved Image-Text Instructions. - Cunxin Fan; Xiaosong Jia; Yihang Sun; Yixiao Wang; Jianglan Wei; Ziyang Gong; Xiangyu Zhao; Masayoshi Tomizuka; Xue Yang 005; Junchi Yan; Mingyu Ding (CoRR, 2025)

Beyond Theorem Proving: Formulation, Framework and Benchmark for Formal Problem-Solving. - Qi Liu; Xinhao Zheng; Renqiu Xia; Xingzhi Qi; Qinxiang Cao; Junchi Yan (CoRR, 2025)

New Evidence of the Two-Phase Learning Dynamics of Neural Networks. - Zhanpeng Zhou; Yongyi Yang; Mahito Sugiyama; Junchi Yan (CoRR, 2025)

KO: Kinetics-inspired Neural Optimizer with PDE Simulation Approaches. - Mingquan Feng; Yixin Huang; Yifan Fu; Shaobo Wang 001; Junchi Yan (CoRR, 2025)

DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving. - Zhenjie Yang; Yilin Chai; Xiaosong Jia; Qifeng Li; Yuqian Shao; Xuekai Zhu; Haisheng Su; Junchi Yan (CoRR, 2025)

Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2). - Zhenjie Yang; Xiaosong Jia; Qifeng Li; Xue Yang 005; Maoqing Yao; Junchi Yan (CoRR, 2025)

Decoupled Geometric Parameterization and its Application in Deep Homography Estimation. - Yao Huang; Si-Yuan Cao; Yaqing Ding 003; Hao Yin; Shibin Xie; Shuting Wang; Zhijun Fang; Jiachun Wang; Shen Cai; Junchi Yan; Shuhan Shen (CoRR, 2025)

Learning Adaptive and Temporally Causal Video Tokenization in a 1D Latent Space. - Yan Li 098; Changyao Tian; Renqiu Xia; Ning Liao; Weiwei Guo; Junchi Yan; Hongsheng Li 001; Jifeng Dai; Hao Li 069; Xue Yang 005 (CoRR, 2025)

KITINet: Kinetics Theory Inspired Network Architectures with PDE Simulation Approaches. - Mingquan Feng; Yifan Fu; Tongcheng Zhang; Yu Jiang; Yixin Huang; Junchi Yan (CoRR, 2025)

On the Role of Label Noise in the Feature Learning Process. - Andi Han; Wei Huang 034; Zhanpeng Zhou; Gang Niu 001; Wuyang Chen 001; Junchi Yan; Akiko Takeda; Taiji Suzuki (CoRR, 2025)

VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models. - Xiangdong Zhang; Jiaqi Liao; Shaofeng Zhang; Fanqing Meng; Xiangpeng Wan; Junchi Yan; Yu Cheng (CoRR, 2025)

SpaCE-10: A Comprehensive Benchmark for Multimodal Large Language Models in Compositional Spatial Intelligence. - Ziyang Gong; Wenhao Li 001; Oliver Ma; Songyuan Li; Jiayi Ji; Xue Yang 005; Gen Luo; Junchi Yan; Rongrong Ji (CoRR, 2025)

ProtoReasoning: Prototypes as the Foundation for Generalizable Reasoning in LLMs. - Feng He; Zijun Chen; Xinnian Liang; Tingting Ma; Yunqi Qiu; Shuangzhi Wu; Junchi Yan (CoRR, 2025)

SE-Merging: A Self-Enhanced Approach for Dynamic Model Merging. - Zijun Chen; Zhanpeng Zhou; Bo Zhang 069; Weinan Zhang 001; Xi Sun; Junchi Yan (CoRR, 2025)

TrajTok: Technical Report for 2025 Waymo Open Sim Agents Challenge. - Zhiyuan Zhang; Xiaosong Jia; Guanyu Chen; Qifeng Li; Junchi Yan (CoRR, 2025)

Wholly-WOOD: Wholly Leveraging Diversified-Quality Labels for Weakly-Supervised Oriented Object Detection. - Yi Yu 010; Xue Yang 005; Yansheng Li 001; Zhenjun Han; Feipeng Da; Junchi Yan (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

M-Tuning: Prompt Tuning With Mitigated Label Bias in Open-Set Scenarios. - Ning Liao; Xiaopeng Zhang 008; Min Cao; Junchi Yan (IEEE Trans. Circuits Syst. Video Technol., 2025)

MemOS: A Memory OS for AI System. - Zhiyu Li; Shichao Song; Chenyang Xi; Hanyu Wang; Chen Tang; Simin Niu; Ding Chen; Jiawei Yang; Chunyu Li; Qingchen Yu; Jihao Zhao; Yezhaohui Wang; et al. (CoRR, 2025)

When Autonomy Goes Rogue: Preparing for Risks of Multi-Agent Collusion in Social Systems. - Qibing Ren; Sitao Xie; Longxuan Wei; Zhenfei Yin; Junchi Yan; Lizhuang Ma; Jing Shao (CoRR, 2025)

Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence. - Zixu Wang; Yuhan Wang; Junfei Ma; Fuyuan Wu; Junchi Yan; Xiaohui Yuan; Zhe Zhang; Jie Zhang (CoRR, 2025)

Innovator: Scientific Continued Pretraining with Fine-grained MoE Upcycling. - Ning Liao; Xiaoxing Wang; Zehao Lin; Weiyang Guo; Feng Hong 004; Shixiang Song; Geng Yu; Zihua Zhao; Sitao Xie; Longxuan Wei; Xiangqi Jin; Xiaohan Qin; et al. (CoRR, 2025)

Player-Centric Multimodal Prompt Generation for Large Language Model Based Identity-Aware Basketball Video Captioning. - Zeyu Xi; Haoying Sun; Yaofei Wu; Junchi Yan; Haoran Zhang; Lifang Wu; Liang Wang 001; Changwen Chen (CoRR, 2025)

LiDAR-guided Geometric Pretraining for Vision-Centric 3D Object Detection. - Linyan Huang; Huijie Wang; Jia Zeng; Shengchuan Zhang; Liujuan Cao; Junchi Yan; Hongyang Li 001 (Int. J. Comput. Vis., 2025)

Calibrating Biased Distribution in VFM-derived Latent Space via Cross-Domain Geometric Consistency. - Yanbiao Ma; Wei Dai; Bowei Liu; Jiayi Chen; Wenke Huang; Guancheng Wan; Zhiwu Lu; Junchi Yan (CoRR, 2025)

Fast and Interpretable 2D Homography Decomposition: Similarity-Kernel-Similarity and Affine-Core-Affine Transformations. - Shen Cai; Zhanhao Wu; Lingxi Guo; Jiachun Wang; Siyu Zhang; Junchi Yan; Shuhan Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2025)