Junchi Yan

According to our database, Junchi Yan authored at least 136 papers between 2009 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2020

Unsupervised learning of optical flow with patch consistency and occlusion estimation.

Zhe Ren, Junchi Yan, Xiaokang Yang, Alan L. Yuille, Hongyuan Zha

Pattern Recognit., 2020

DARTS-: Robustly Stepping out of Performance Collapse Without Indicators.

Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun Lu, Xiaolin Wei, Junchi Yan

CoRR, 2020

Fusing Motion Patterns and Key Visual Information for Semantic Event Recognition in Basketball Videos.

Lifang Wu, Zhou Yang, Qi Wang, Meng Jian, Boxuan Zhao, Junchi Yan, Chang Wen Chen

CoRR, 2020

PAI-Conv: Permutable Anisotropic Convolutional Networks for Learning on Point Clouds.

Zhongpai Gao, Guangtao Zhai, Junchi Yan, Xiaokang Yang

CoRR, 2020

SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing.

Xue Yang, Junchi Yan, Xiaokang Yang, Jin Tang, Wenlong Liao, Tao He

CoRR, 2020

F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning.

Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha

CoRR, 2020

GFTE: Graph-based Financial Table Extraction.

Yiren Li, Zheng Huang, Junchi Yan, Yi Zhou, Fan Ye, Xianhui Liu

CoRR, 2020

Arbitrary-Oriented Object Detection with Circular Smooth Label.

Xue Yang, Junchi Yan

CoRR, 2020

Hyper-Meta Reinforcement Learning with Sparse Reward.

Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha

CoRR, 2020

Learning Structured Communication for Multi-agent Reinforcement Learning.

Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha

CoRR, 2020

Video Content Analysis for Compliance Audit in Finance and Security Industry.

Bin Liu, Mingyu Wu, Minze Tao, Qin Wang, Luye He, Guoliang Shen, Kai Chen, Junchi Yan

IEEE Access, 2020

Learning to Select Elements for Graphic Design.

Guolong Wang, Zheng Qin, Junchi Yan, Liu Jiang

Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020

Learning for Graph Matching and Related Combinatorial Optimization Problems.

Junchi Yan, Shuang Yang, Edwin R. Hancock

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

MergeNAS: Merge Operations into One for Differentiable Architecture Search.

Xiaoxing Wang, Chao Xue, Junchi Yan, Xiaokang Yang, Yonggang Hu, Kewei Sun

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning deep graph matching with channel-independent embedding and Hungarian attention.

Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li

Proceedings of the 8th International Conference on Learning Representations, 2020

Determinant Regularization for Gradient-Efficient Graph Matching.

Tianshu Yu, Junchi Yan, Baoxin Li

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Unseen Concepts via Hierarchical Decomposition and Composition.

Muli Yang, Cheng Deng, Junchi Yan, Xianglong Liu, Dacheng Tao

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Towards Transferable Targeted Attack.

Maosen Li, Cheng Deng, Tengjiao Li, Junchi Yan, Xinbo Gao, Heng Huang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Multiple Graph Matching and Clustering via Decayed Pairwise Matching Composition.

Tianzhe Wang, Zetian Jiang, Junchi Yan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning Time Series Associated Event Sequences With Recurrent Point Process Networks.

Shuai Xiao, Junchi Yan, Mehrdad Farajtabar, Le Song, Xiaokang Yang, Hongyuan Zha

IEEE Trans. Neural Networks Learn. Syst., 2019

Editorial.

Junchi Yan, Minsu Cho, Francesc Serratosa, Gui-Song Xia, Yinqiang Zheng

Pattern Recognit. Lett., 2019

Joint Active Learning with Feature Selection via CUR Matrix Decomposition.

Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, Hongyuan Zha

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Special issue on deep learning for intelligent sensing, decision-making and control.

Wei Zhang, Junchi Yan, Zhi-Yong Liu, Zhigang Zeng

Neurocomputing, 2019

Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching.

Runzhong Wang, Junchi Yan, Xiaokang Yang

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

Decoding Spiking Mechanism with Dynamic Learning on Neuron Population.

Zhijie Chen, Junchi Yan, Longyuan Li, Xiaokang Yang

CoRR, 2019

Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning.

Junjie Wang, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenjie Zhang, Hongyuan Zha

CoRR, 2019

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object.

Xue Yang, Qingqing Liu, Junchi Yan, Ang Li

CoRR, 2019

Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering.

Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha

CoRR, 2019

Fast Unsupervised Location Category Inference from Highly Inaccurate Mobility Data.

Jinfeng Yi, Qi Lei, Wesley M. Gifford, Ji Liu, Junchi Yan, Bowen Zhou

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Differential Privacy with Variant-Noise for Gaussian Processes Classification.

Zhili Xiong, Longyuan Li, Junchi Yan, Haiyang Wang, Hao He, Yaohui Jin

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling.

Qitian Wu, Zixuan Zhang, Xiaofeng Gao, Junchi Yan, Guihai Chen

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Modeling and Applications for Temporal Point Processes.

Junchi Yan, Hongteng Xu, Liangda Li

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics.

Shihui Yang, Jidong Tian, Honglun Zhang, Junchi Yan, Hao He, Yaohui Jin

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Graph Convolutional Network Hashing for Cross-Modal Retrieval.

Ruiqing Xu, Chao Li, Junchi Yan, Cheng Deng, Xianglong Liu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting.

Longyuan Li, Junchi Yan, Xiaokang Yang, Yaohui Jin

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Joint Link Prediction and Network Alignment via Cross-graph Embedding.

Xingbo Du, Junchi Yan, Hongyuan Zha

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects.

Xue Yang, Jirui Yang, Junchi Yan, Yue Zhang, Tengfei Zhang, Zhi Guo, Xian Sun, Kun Fu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning Combinatorial Embedding Networks for Deep Graph Matching.

Runzhong Wang, Junchi Yan, Xiaokang Yang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query.

Hao Wang, Cheng Deng, Junchi Yan, Dacheng Tao

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Deep Spectral Clustering Using Dual Autoencoder Network.

Xu Yang, Cheng Deng, Feng Zheng, Junchi Yan, Wei Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Transferable AutoML by Model Sharing Over Grouped Datasets.

Chao Xue, Junchi Yan, Rong Yan, Stephen M. Chu, Yonggang Hu, Yonghua Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Synergizing Local and Global Models for Matrix Approximation.

Chao Chen, Hao Zhang, Dongsheng Li, Junchi Yan, Xiaokang Yang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

A Self-Paced Regularization Framework for Multilabel Learning.

Changsheng Li, Fan Wei, Junchi Yan, Xiaoyu Zhang, Qingshan Liu, Hongyuan Zha

IEEE Trans. Neural Networks Learn. Syst., 2018

Adaptive Discrete Hypergraph Matching.

Junchi Yan, Changsheng Li, Yin Li, Guitao Cao

IEEE Trans. Cybern., 2018

End-to-end learning for image-based air quality level estimation.

Chao Zhang, Junchi Yan, Changsheng Li, Hao Wu, Rongfang Bie

Mach. Vis. Appl., 2018

Contour detection via stacking random forest learning.

Chao Zhang, Junchi Yan, Changsheng Li, Rongfang Bie

Neurocomputing, 2018

On the flexibility of block coordinate descent for large-scale optimization.

Xiangfeng Wang, Wenjie Zhang, Junchi Yan, Xiaoming Yuan, Hongyuan Zha

Neurocomputing, 2018

Collaborative Filtering with Stability.

Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu

CoRR, 2018

Publication Popularity Modeling via Adversarial Learning of Profile-Specific Dynamic Process.

Shuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha

IEEE Access, 2018

Generalizing Graph Matching beyond Quadratic Assignment Model.

Tianshu Yu, Junchi Yan, Yilin Wang, Wei Liu, Baoxin Li

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Group Re-Identification: Leveraging and Integrating Multi-Grain Information.

Hao Xiao, Weiyao Lin, Bin Sheng, Ke Lu, Junchi Yan, Jingdong Wang, Errui Ding, Yihao Zhang, Hongkai Xiong

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Deep Extreme Multi-label Learning.

Wenjie Zhang, Junchi Yan, Xiangfeng Wang, Hongyuan Zha

Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Decoupled Learning for Factorial Marked Temporal Point Processes.

Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Weakly Supervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning.

Ning Zhang, Junchi Yan, Yuchen Zhou

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning.

Junchi Yan, Xin Liu, Liangliang Shi, Changsheng Li, Hongyuan Zha

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning Sequential Correlation for User Generated Textual Content Popularity Prediction.

Wen Wang, Wei Zhang, Jun Wang, Junchi Yan, Hongyuan Zha

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Collaborative and Attentive Learning for Personalized Image Aesthetic Assessment.

Guolong Wang, Junchi Yan, Zheng Qin

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multi-Label Dilated Recurrent Network for Sequential Face Alignment.

Tong Yang, Shizheng Qin, Junchi Yan, Wenqiang Zhang

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Incremental Multi-graph Matching via Diversity and Randomness Based Graph Clustering.

Tianshu Yu, Junchi Yan, Wei Liu, Baoxin Li

Proceedings of the Computer Vision - ECCV 2018, 2018

Joint Cuts and Matching of Partitions in One Graph.

Tianshu Yu, Junchi Yan, Jieyi Zhao, Baoxin Li

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Session Expert: a Lightweight Conference Session Recommender System.

Jinfeng Yi, Qi Lei, Junchi Yan, Wei Sun

Proceedings of the IEEE International Conference on Big Data, 2018

Tau-FPL: Tolerance-Constrained Learning in Linear Time.

Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Learning Conditional Generative Models for Temporal Point Processes.

Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

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, Junchi Yan

IEEE Trans. Image Process., 2017

Learning Correspondence Structures for Person Re-Identification.

Weiyao Lin, Yang Shen, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang, Ke Lu

IEEE Trans. Image Process., 2017

A Tube-and-Droplet-Based Approach for Representing and Analyzing Motion Trajectories.

Weiyao Lin, Yang Zhou, Hongteng Xu, Junchi Yan, Mingliang Xu, Jianxin Wu, Zicheng Liu

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Guest Editorial: Visual Multimedia Learning from Big Surveillance Data.

Zheng Xu, Junchi Yan, Richard Yida Xu, Lin Mei

Multim. Tools Appl., 2017

Attention based convolutional neural network for predicting RNA-protein binding sites.

Xiaoyong Pan, Junchi Yan

CoRR, 2017

Unsupervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning.

Ning Zhang, Junchi Yan, Yu Chen Zhou

CoRR, 2017

Deep Extreme Multi-label Learning.

Wenjie Zhang, Liwei Wang, Junchi Yan, Xiangfeng Wang, Hongyuan Zha

CoRR, 2017

Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks.

Shuai Xiao, Junchi Yan, Mehrdad Farajtabar, Le Song, Xiaokang Yang, Hongyuan Zha

CoRR, 2017

Wasserstein Learning of Deep Generative Point Process Models.

Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Le Song, Hongyuan Zha

CoRR, 2017

A hybrid approach for risk assessment of loan guarantee network.

Zhibin Niu, Dawei Cheng, Junchi Yan, Jiawan Zhang, Liqing Zhang, Hongyuan Zha

CoRR, 2017

Visual analytics for loan guarantee network risk management.

Dawei Cheng, Zhibin Niu, Junchi Yan, Jiawan Zhang, Liqing Zhang

CoRR, 2017

Personalized Key Frame Recommendation.

Xu Chen, Yongfeng Zhang, Qingyao Ai, Hongteng Xu, Junchi Yan, Zheng Qin

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Wasserstein Learning of Deep Generative Point Process Models.

Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Xiaokang Yang, Le Song, Hongyuan Zha

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Early Air Pollution Forecasting as a Service: An Ensemble Learning Approach.

Chao Zhang, Junchi Yan, Yunting Li, Feng Sun, Jinghai Yan, Dawei Zhang, Xiaoguang Rui, Rongfang Bie

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Hybrid Measurement of Air Quality as a Mobile Service: An Image Based Approach.

Chao Zhang, Baoxian Liu, Junchi Yan, Jinghai Yan, Lingjun Li, Dawei Zhang, Xiaoguang Rui, Rongfang Bie

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Fractal Dimension Invariant Filtering and Its CNN-Based Implementation.

Hongteng Xu, Junchi Yan, Nils Persson, Weiyao Lin, Hongyuan Zha

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

A Divide-and-Conquer Approach for Large-Scale Multi-label Learning.

Wenjie Zhang, Xiangfeng Wang, Junchi Yan, Hongyuan Zha

Proceedings of the Third IEEE International Conference on Multimedia Big Data, 2017

Transductive Non-linear Learning for Chinese Hypernym Prediction.

Chengyu Wang, Junchi Yan, Aoying Zhou, Xiaofeng He

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Modeling the Intensity Function of Point Process Via Recurrent Neural Networks.

Shuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha, Stephen M. Chu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Unsupervised Deep Learning for Optical Flow Estimation.

Zhe Ren, Junchi Yan, Bingbing Ni, Bin Liu, Xiaokang Yang, Hongyuan Zha

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

On Predictive Patent Valuation: Forecasting Patent Citations and Their Types.

Xin Liu, Junchi Yan, Shuai Xiao, Xiangfeng Wang, Hongyuan Zha, Stephen M. Chu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Self-Paced Multi-Task Learning.

Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering.

Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Discriminative Dictionary Learning With Common Label Alignment for Cross-Modal Retrieval.

Cheng Deng, Xu Tang, Junchi Yan, Wei Liu, Xinbo Gao

IEEE Trans. Multimedia, 2016

Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization.

Junchi Yan, Minsu Cho, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu

IEEE Trans. Pattern Anal. Mach. Intell., 2016

A Fractal-based CNN for Detecting Complicated Curves in AFM Images.

Hongteng Xu, Junchi Yan, Nils Persson, Hongyuan Zha

CoRR, 2016

A Self-Paced Regularization Framework for Multi-Label Learning.

Changsheng Li, Fan Wei, Junchi Yan, Weishan Dong, Qingshan Liu, Xiaoyu Zhang

CoRR, 2016

Joint Prediction of Rating and Popularity for Cold-Start Item by Sentinel User Selection.

Zhongchen Miao, Junchi Yan, Kai Chen, Xiaokang Yang, Hongyuan Zha, Wenjun Zhang

IEEE Access, 2016

On Estimating Air Pollution from Photos Using Convolutional Neural Network.

Chao Zhang, Junchi Yan, Changsheng Li, Xiaoguang Rui, Liang Liu, Rongfang Bie

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

A Short Survey of Recent Advances in Graph Matching.

Junchi Yan, Xu-Cheng Yin, Weiyao Lin, Cheng Deng, Hongyuan Zha, Xiaokang Yang

Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior.

Junchi Yan, Shuai Xiao, Changsheng Li, Bo Jin, Xiangfeng Wang, Bin Ke, Xiaokang Yang, Hongyuan Zha

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

On Modeling and Predicting Individual Paper Citation Count over Time.

Shuai Xiao, Junchi Yan, Changsheng Li, Bo Jin, Xiangfeng Wang, Xiaokang Yang, Stephen M. Chu, Hongyuan Zha

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering.

Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Stephen M. Chu, Li Shang

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A constrained clustering based approach for matching a collection of feature sets.

Junchi Yan, Zhe Ren, Hongyuan Zha, Stephen M. Chu

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Low-Rank Matrix Approximation with Stability.

Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu

Proceedings of the 33nd International Conference on Machine Learning, 2016

Parallel Randomized Block Coordinate Descent for Neural Probabilistic Language Model with High-Dimensional Output Targets.

Xin Liu, Junchi Yan, Xiangfeng Wang, Hongyuan Zha

Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

Spatially Regularized Streaming Sensor Selection.

Changsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Junchi Yan, Xiaobin Zhu, Qingshan Liu, Xin Zhang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

End-to-End Solution with Clustering Method for Attrition Analysis.

Nianjun Zhou, Wesley M. Gifford, Junchi Yan, Hongfei Li

Proceedings of the IEEE International Conference on Services Computing, 2016

2015

Consistency-Driven Alternating Optimization for Multigraph Matching: A Unified Approach.

Junchi Yan, Jun Wang, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu

IEEE Trans. Image Process., 2015

A General Multi-Graph Matching Approach via Graduated Consistency-regularized Boosting.

Junchi Yan, Minsu Cho, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu

CoRR, 2015

Active Sample Learning and Feature Selection: A Unified Approach.

Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, Hongyuan Zha

CoRR, 2015

Sales pipeline win propensity prediction: A regression approach.

Junchi Yan, Min Gong, Changhua Sun, Jin Huang, Stephen M. Chu

Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2015

Person re-identification fusing via ranking consensus.

Yang Shen, Weiyao Lin, Junchi Yan, Youping Zhong, Bing Zhou, Huiqing Yin

Proceedings of the 7th International Conference on Internet Multimedia Computing and Service, 2015

A Matrix Decomposition Perspective to Multiple Graph Matching.

Junchi Yan, Hongteng Xu, Hongyuan Zha, Xiaokang Yang, Huanxi Liu, Stephen M. Chu

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Person Re-Identification with Correspondence Structure Learning.

Yang Shen, Weiyao Lin, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Discrete hyper-graph matching.

Junchi Yan, Chao Zhang, Hongyuan Zha, Wei Liu, Xiaokang Yang, Stephen M. Chu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

On Machine Learning towards Predictive Sales Pipeline Analytics.

Junchi Yan, Chao Zhang, Hongyuan Zha, Min Gong, Changhua Sun, Jin Huang, Stephen M. Chu, Xiaokang Yang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Multi-View Point Registration via Alternating Optimization.

Junchi Yan, Jun Wang, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Digital IIR Filter Design with Fix-Point Representation Using Effective Evolutionary Local Search Enhanced Differential Evolution.

Yu Wang, Weishan Dong, Junchi Yan, Li Li, Chunhua Tian, Chao Zhang, Zhihu Wang, Chunyang Ma

Proceedings of the Computational Intelligence in Digital and Network Designs and Applications, 2015

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

Sufficient Statistics Feature Mapping over Deep Boltzmann Machine for Detection.

Chao Zhang, Xiong Li, Junchi Yan, Stephen Qui, Yu Wang, Chunhua Tian, Yuming Zhao

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Graduated Consistency-Regularized Optimization for Multi-graph Matching.

Junchi Yan, Yin Li, Wei Liu, Hongyuan Zha, Xiaokang Yang, Stephen Mingyu Chu

Proceedings of the Computer Vision - ECCV 2014, 2014

Maximizing Multi-scale Spatial Statistical Discrepancy.

Weishan Dong, Renjie Yao, Chunyang Ma, Changsheng Li, Lei Shi, Lu Wang, Yu Wang, Peng Gao, Junchi Yan

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Two-stage based ensemble optimization framework for large-scale global optimization.

Yu Wang, Jin Huang, Weishan Dong, Junchi Yan, Chunhua Tian, Min Li, Wen Ting Mo

Eur. J. Oper. Res., 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, Yuncai Liu

CoRR, 2013

Towards Effective Prioritizing Water Pipe Replacement and Rehabilitation.

Junchi Yan, Yu Wang, Ke Zhou, Jin Huang, Chunhua Tian, Hongyuan Zha, Weishan Dong

Proceedings of the IJCAI 2013, 2013

Joint Optimization for Consistent Multiple Graph Matching.

Junchi Yan, Yu Tian, Hongyuan Zha, Xiaokang Yang, Ya Zhang, Stephen M. Chu

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

On the Convergence of Graph Matching: Graduated Assignment Revisited.

Yu Tian, Junchi Yan, Hequan Zhang, Ya Zhang, Xiaokang Yang, Hongyuan Zha

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Weighted sparse coding residual minimization for visual tracking.

Junchi Yan, Minglei Tong

Proceedings of the 2011 IEEE Visual Communications and Image Processing, 2011

Sparse Feature Learning for Visual Tracking by Least Absolute Shrinkage and Selection Operator.

Minglei Tong, Junchi Yan, Huanxi Liu, Hong Han

Proceedings of the Sixth International Conference on Image and Graphics, 2011

A Double-Layer Model for Foreground Detection from Video Sequence.

Huanxi Liu, Junchi Yan, Jun Zhu, Xiaowei Lv, Xiong Li, Tianhong Zhu, Yuncai Liu

Proceedings of the Sixth International Conference on Image and Graphics, 2011

2010

Visual Saliency Detection via Sparsity Pursuit.

Junchi Yan, Mengyuan Zhu, Huanxi Liu, Yuncai Liu

IEEE Signal Process. Lett., 2010

An Optimization Based Framework for Human Pose Estimation.

Junchi Yan, Shuhan Shen, Yin Li, Yuncai Liu

IEEE Signal Process. Lett., 2010

Model-based 3D human motion tracking and voxel reconstruction from sparse views.

Junchi Yan, Jian Song, Liwei Wang, Yuncai Liu

Proceedings of the International Conference on Image Processing, 2010

Visual saliency detection via rank-sparsity decomposition.

Junchi Yan, Jian Liu, Yin Li, Zhibin Niu, Yuncai Liu

Proceedings of the International Conference on Image Processing, 2010

Tensor error correction for corrupted values in visual data.

Yin Li, Yue Zhou, Junchi Yan, Jie Yang, Xiangjian He

Proceedings of the International Conference on Image Processing, 2010

A Bayesian framework for 3D human motion tracking from monocular image.

Jian Liu, Junchi Yan, Minglei Tong, Yuncai Liu

Proceedings of the IEEE International Conference on Acoustics, 2010

Optimum Subspace Learning and Error Correction for Tensors.

Yin Li, Junchi Yan, Yue Zhou, Jie Yang

Proceedings of the Computer Vision, 2010

2009

Improving Semantic Scene Categorization by Exploiting Audio-Visual Features.

Songhao Zhu, Junchi Yan, Yuncai Liu

Proceedings of the Fifth International Conference on Image and Graphics, 2009

Markless Human Motion Capture by Voxel Labeling.

Junchi Yan, Jian Liu, Yuncai Liu

Proceedings of the Fifth International Conference on Image and Graphics, 2009

An Accelerated Human Motion Tracking System Based on Voxel Reconstruction under Complex Environments.

Junchi Yan, Yin Li, EnLiang Zheng, Yuncai Liu

Proceedings of the Computer Vision, 2009

Visual Saliency Based on Conditional Entropy.

Yin Li, Yue Zhou, Junchi Yan, Zhibin Niu, Jie Yang

Proceedings of the Computer Vision, 2009