Adaptive graph filtering: Multiresolution classification on graphs. - Siheng Chen; Aliaksei Sandryhaila; José M. F. Moura; Jelena Kovacevic (GlobalSIP, 2013)

Multiresolution classification with semi-supervised learning for indirect bridge structural health monitoring. - Siheng Chen; Fernando Cerda; Jia Guo; Joel B. Harley; Qing Shi; Piervincenzo Rizzo; Jacobo Bielak; James H. Garrett Jr.; Jelena Kovacevic (ICASSP, 2013)

Signal denoising on graphs via graph filtering. - Siheng Chen; Aliaksei Sandryhaila; José M. F. Moura; Jelena Kovacevic (GlobalSIP, 2014)

Signal inpainting on graphs via total variation minimization. - Siheng Chen; Aliaksei Sandryhaila; George Lederman; Zihao Wang; José M. F. Moura; Piervincenzo Rizzo; Jacobo Bielak; James H. Garrett Jr.; Jelena Kovacevic (ICASSP, 2014)

Signal Recovery on Graphs. - Siheng Chen; Aliaksei Sandryhaila; José M. F. Moura; Jelena Kovacevic (CoRR, 2014)

Semi-Supervised Multiresolution Classification Using Adaptive Graph Filtering With Application to Indirect Bridge Structural Health Monitoring. - Siheng Chen; Fernando Cerda; Piervincenzo Rizzo; Jacobo Bielak; James H. Garrett Jr.; Jelena Kovacevic (IEEE Trans. Signal Process., 2014)

Energy-efficient route planning for autonomous aerial vehicles based on graph signal recovery. - Tianxi Ji; Siheng Chen; Rohan Varma; Jelena Kovacevic (Allerton, 2015)

Spectrum-blind signal recovery on graphs. - Rohan Varma; Siheng Chen; Jelena Kovacevic (CAMSAP, 2015)

Sampling theory for graph signals. - Siheng Chen; Aliaksei Sandryhaila; Jelena Kovacevic (ICASSP, 2015)

Distributed algorithm for graph signal inpainting. - Siheng Chen; Aliaksei Sandryhaila; Jelena Kovacevic (ICASSP, 2015)

Fast algorithm for neural network reconstruction. - Sean Bittner; Siheng Chen; Jelena Kovacevic (ISBI, 2015)

Signal Recovery on Graphs: Random versus Experimentally Designed Sampling. - Siheng Chen; Rohan Varma; Aarti Singh; Jelena Kovacevic (CoRR, 2015)

Signal Representations on Graphs: Tools and Applications. - Siheng Chen; Rohan Varma; Aarti Singh; Jelena Kovacevic (CoRR, 2015)

Signal Recovery on Graphs: Variation Minimization. - Siheng Chen; Aliaksei Sandryhaila; José M. F. Moura; Jelena Kovacevic (IEEE Trans. Signal Process., 2015)

Discrete Signal Processing on Graphs: Sampling Theory. - Siheng Chen; Rohan Varma; Aliaksei Sandryhaila; Jelena Kovacevic (IEEE Trans. Signal Process., 2015)

Monitoring Manhattan's traffic at 5 intersections? - Siheng Chen; Yaoqing Yang; Christos Faloutsos; Jelena Kovacevic (GlobalSIP, 2016)

Signal detection on graphs: Bernoulli noise model. - Siheng Chen; Yaoqing Yang; Aarti Singh; Jelena Kovacevic (GlobalSIP, 2016)

Representations of piecewise smooth signals on graphs. - Siheng Chen; Rohan Varma; Aarti Singh; Jelena Kovacevic (ICASSP, 2016)

A statistical perspective of sampling scores for linear regression. - Siheng Chen; Rohan Varma; Aarti Singh; Jelena Kovacevic (ISIT, 2016)

Signal Localization, Decomposition and Dictionary Learning on Graphs. - Siheng Chen; Yaoqing Yang; José M. F. Moura; Jelena Kovacevic (CoRR, 2016)

Detecting Structure-correlated Attributes on Graphs. - Siheng Chen; Yaoqing Yang; Shi Zong; Aarti Singh; Jelena Kovacevic (CoRR, 2016)

Signal Recovery on Graphs: Fundamental Limits of Sampling Strategies. - Siheng Chen; Rohan Varma; Aarti Singh; Jelena Kovacevic (IEEE Trans. Signal Inf. Process. over Networks, 2016)

Data Science with Graphs: A Signal Processing Perspective. - Siheng Chen (2016)

Graph topology recovery for regular and irregular graphs. - Rohan Varma; Siheng Chen; Jelena Kovacevic (CAMSAP, 2017)

Contour-enhanced resampling of 3D point clouds via graphs. - Siheng Chen; Dong Tian; Chen Feng 002; Anthony Vetro; Jelena Kovacevic (ICASSP, 2017)

Fast path localization on graphs via multiscale Viterbi decoding. - Yaoqing Yang; Siheng Chen; Mohammad Ali Maddah-Ali; Pulkit Grover; Soummya Kar; Jelena Kovacevic (ICASSP, 2017)

Fast, Warped Graph Embedding: Unifying Framework and One-Click Algorithm. - Siheng Chen; Sufeng Niu; Leman Akoglu; Jelena Kovacevic; Christos Faloutsos (CoRR, 2017)

Fast Resampling of 3D Point Clouds via Graphs. - Siheng Chen; Dong Tian; Chen Feng 002; Anthony Vetro; Jelena Kovacevic (CoRR, 2017)

Detecting Localized Categorical Attributes on Graphs. - Siheng Chen; Yaoqing Yang; Shi Zong; Aarti Singh; Jelena Kovacevic (IEEE Trans. Signal Process., 2017)

Generalized Value Iteration Networks: Life Beyond Lattices. - Sufeng Niu; Siheng Chen; Hanyu Guo; Colin Targonski; Melissa C. Smith; Jelena Kovacevic (AAAI, 2018)

Weighted Multi-Projection: 3D Point Cloud Denoising with Tangent Planes. - Chaojing Duan; Siheng Chen; Jelena Kovacevic (GlobalSIP, 2018)

Multiresolution Representations for Piecewise-Smooth Signals on Graphs. - Siheng Chen; Aarti Singh; Jelena Kovacevic (CoRR, 2018)

Weighted Multi-projection: 3D Point Cloud Denoising with Estimated Tangent Planes. - Chaojing Duan; Siheng Chen; Jelena Kovacevic (CoRR, 2018)

Fast Resampling of Three-Dimensional Point Clouds via Graphs. - Siheng Chen; Dong Tian; Chen Feng 002; Anthony Vetro; Jelena Kovacevic (IEEE Trans. Signal Process., 2018)

Fast Temporal Path Localization on Graphs via Multiscale Viterbi Decoding. - Yaoqing Yang; Siheng Chen; Mohammad Ali Maddah-Ali; Pulkit Grover; Soummya Kar; Jelena Kovacevic (IEEE Trans. Signal Process., 2018)

Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition. - Maosen Li; Siheng Chen; Xu Chen 026; Ya Zhang 002; Yanfeng Wang 001; Qi Tian 001 (CVPR, 2019)

3D Point Cloud Denoising via Deep Neural Network Based Local Surface Estimation. - Chaojing Duan; Siheng Chen; Jelena Kovacevic (ICASSP, 2019)

Unsupervised Joint 3D Object Model Learning and 6D Pose Estimation for Depth-Based Instance Segmentation. - Yuanwei Wu; Tim K. Marks; Anoop Cherian; Siheng Chen; Chen Feng 002; Guanghui Wang 001; Alan Sullivan (ICCV Workshops, 2019)

PCT: Large-Scale 3d Point Cloud Representations Via Graph Inception Networks with Applications to Autonomous Driving. - Siheng Chen; Sufeng Niu; Tian Lan; Baoan Liu (ICIP, 2019)

The eigen-structures of real (skew) circulant matrices with some applications. - Zhongyun Liu; Siheng Chen; Weijin Xu; Yulin Zhang (Comput. Appl. Math., 2019)

Handwritten Chinese Font Generation with Collaborative Stroke Refinement. - Chuan Wen; Jie Chang; Ya Zhang 002; Siheng Chen; Yanfeng Wang 001; Mei Han; Qi Tian 001 (CoRR, 2019)

Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving. - Siheng Chen; Sufeng Niu; Tian Lan; Baoan Liu (CoRR, 2019)

Node Attribute Generation on Graphs. - Xu Chen 026; Siheng Chen; Huangjie Zheng; Jiangchao Yao; Kenan Cui; Ya Zhang 002; Ivor W. Tsang (CoRR, 2019)

Topological and statistical control of kirigami. - Siheng Chen; Gary P. T. Choi; L. Mahadevan (CoRR, 2019)

Collaborative Motion Prediction via Neural Motion Message Passing. - Yue Hu; Siheng Chen; Ya Zhang 002; Xiao Gu 001 (CVPR, 2020)

Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction. - Maosen Li; Siheng Chen; Yangheng Zhao; Ya Zhang 002; Yanfeng Wang 001; Qi Tian 001 (CVPR, 2020)

MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps. - Pengxiang Wu; Siheng Chen; Dimitris N. Metaxas (CVPR, 2020)

Damage-Sensitive and Domain-Invariant Feature Extraction for Vehicle-Vibration-Based Bridge Health Monitoring. - Jingxiao Liu; Bingqing Chen; Siheng Chen; Mario Bergés; Jacobo Bielak; Hae Young Noh (ICASSP, 2020)

Dual Graph Embedding for Object-Tag Link Prediction on the Knowledge Graph. - Chenyang Li; Xu Chen 026; Ya Zhang 002; Siheng Chen; Dan Lv; Yanfeng Wang 001 (ICKG, 2020)

Collaborative Adversarial Learning for Relational Learning on Multiple Bipartite Graphs. - Jingchao Su; Xu Chen 026; Ya Zhang 002; Siheng Chen; Dan Lv; Chenyang Li (ICKG, 2020)

Pruned Graph Scattering Transforms. - Vassilis N. Ioannidis; Siheng Chen; Georgios B. Giannakis (ICLR, 2020)

Graph-Based Array Signal Denoising for Perturbed Synthetic Aperture Radar. - Dehong Liu; Siheng Chen; Petros T. Boufounos (IGARSS, 2020)

Collaborative Localization Based on Traffic Landmarks for Autonomous Driving. - Siheng Chen; Ningxiao Zhang; Huifang Sun (ISCAS, 2020)

Graph Cross Networks with Vertex Infomax Pooling. - Maosen Li; Siheng Chen; Ya Zhang 002; Ivor W. Tsang (NeurIPS, 2020)

3D Point Cloud Processing and Learning for Autonomous Driving. - Siheng Chen; Baoan Liu; Chen Feng 002; Carlos Vallespi-Gonzalez; Carl Wellington (CoRR, 2020)

Control of connectivity and rigidity in prismatic assemblies. - Gary P. T. Choi; Siheng Chen; L. Mahadevan (CoRR, 2020)

Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph. - Chenyang Li; Xu Chen 026; Ya Zhang 002; Siheng Chen; Dan Lv; Yanfeng Wang 001 (CoRR, 2020)

Collaborative Adversarial Learning for RelationalLearning on Multiple Bipartite Graphs. - Jingchao Su; Xu Chen 026; Ya Zhang 002; Siheng Chen; Dan Lv; Chenyang Li (CoRR, 2020)

Sampling and Recovery of Graph Signals based on Graph Neural Networks. - Siheng Chen; Maosen Li; Ya Zhang 002 (CoRR, 2020)

Application research on quantitative prediction of TCM syndrome differentiation based on ensemble learning. - Huaixin Liang; Xin Yang; Shaoxiong Li; Siheng Chen; Xiaoqing Zhang (Int. J. Comput. Appl. Technol., 2020)

Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering. - Siheng Chen; Chaojing Duan; Yaoqing Yang; Duanshun Li; Chen Feng 002; Dong Tian (IEEE Trans. Image Process., 2020)

Joint 3D Human Shape Recovery and Pose Estimation from a Single Image with Bilayer Graph. - Xin Yu 003; Jeroen van Baar; Siheng Chen (3DV, 2021)

Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation. - Chenxin Xu; Siheng Chen; Maosen Li; Ya Zhang 002 (AAAI, 2021)

Graph Signal Denoising Via Unrolling Networks. - Siheng Chen; Yonina C. Eldar (ICASSP, 2021)

Time-Varying Graph Signal Inpainting Via Unrolling Networks. - Siheng Chen; Yonina C. Eldar (ICASSP, 2021)

Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks. - Takuya Fujihashi; Toshiaki Koike-Akino; Siheng Chen; Takashi Watanabe 001 (ICC, 2021)

CaT: Weakly Supervised Object Detection with Category Transfer. - Tianyue Cao; Lianyu Du; Xiaoyun Zhang 001; Siheng Chen; Ya Zhang 002; Yanfeng Wang 001 (ICCV, 2021)

Divide and Conquer for Single-frame Temporal Action Localization. - Chen Ju; Peisen Zhao; Siheng Chen; Ya Zhang 002; Yanfeng Wang 001; Qi Tian 001 (ICCV, 2021)

A Backdoor Attack against 3D Point Cloud Classifiers. - Zhen Xiang; David J. Miller 001; Siheng Chen; Xi Li 015; George Kesidis (ICCV, 2021)

Skeleton Graph Scattering Networks for 3D Skeleton-based Human Motion Prediction. - Maosen Li; Siheng Chen; Zihui Liu; Zijing Zhang; Lingxi Xie; Qi Tian 001; Ya Zhang 002 (ICCVW, 2021)

Semi-Supervised 3D Hand-Object Pose Estimation Via Pose Dictionary Learning. - Zida Cheng; Siheng Chen; Ya Zhang 002 (ICIP, 2021)

Application-Agnostic Spatio-Temporal Hand Graph Representations For Stable Activity Understanding. - Pratyusha Das; Antonio Ortega; Siheng Chen; Hassan Mansour; Anthony Vetro (ICIP, 2021)

Spatio-Temporal Graph Scattering Transform. - Chao Pan 003; Siheng Chen; Antonio Ortega (ICLR, 2021)

Learning Distilled Collaboration Graph for Multi-Agent Perception. - Yiming Li 003; Shunli Ren; Pengxiang Wu; Siheng Chen; Chen Feng 002; Wenjun Zhang (NeurIPS, 2021)

Learning to Learn Graph Topologies. - Xingyue Pu; Tianyue Cao; Xiaoyun Zhang; Xiaowen Dong 001; Siheng Chen (NeurIPS, 2021)

Collaborative Uncertainty in Multi-Agent Trajectory Forecasting. - Bohan Tang; Yiqi Zhong; Ulrich Neumann; Gang Wang; Siheng Chen; Ya Zhang 002 (NeurIPS, 2021)

Handwritten Chinese Font Generation with Collaborative Stroke Refinement. - Chuan Wen; Yujie Pan 001; Jie Chang; Ya Zhang 002; Siheng Chen; Yanfeng Wang 001; Mei Han; Qi Tian 001 (WACV, 2021)

Point Cloud Distortion Quantification based on Potential Energy for Human and Machine Perception. - Qi Yang 003; Siheng Chen; Yiling Xu; Jun Sun 005; M. Salman Asif; Zhan Ma (CoRR, 2021)

Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization. - Chen Ju; Peisen Zhao; Siheng Chen; Ya Zhang 002; Xiaoyun Zhang 001; Qi Tian 001 (CoRR, 2021)

Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network. - Maosen Li; Siheng Chen; Yanning Shen; Genjia Liu; Ivor W. Tsang; Ya Zhang 002 (CoRR, 2021)

Joint 3D Human Shape Recovery from A Single Imag with Bilayer-Graph. - Xin Yu 002; Jeroen van Baar; Siheng Chen (CoRR, 2021)

Dynamic Differential-Privacy Preserving SGD. - Jian Du; Song Li; Fengran Mo; Siheng Chen (CoRR, 2021)

3D Point Cloud Processing and Learning for Autonomous Driving: Impacting Map Creation, Localization, and Perception. - Siheng Chen; Baoan Liu; Chen Feng 002; Carlos Vallespi-Gonzalez; Carl Wellington (IEEE Signal Process. Mag., 2021)

Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction. - Maosen Li; Siheng Chen; Yangheng Zhao; Ya Zhang 002; Yanfeng Wang 001; Qi Tian 001 (IEEE Trans. Image Process., 2021)

Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising. - Siheng Chen; Yonina C. Eldar; Lingxiao Zhao (IEEE Trans. Signal Process., 2021)

Unpaired Face Restoration via Learnable Cross-Quality Shift. - Yangyi Dong; Xiaoyun Zhang 001; Zhixin Wang; Ya Zhang 002; Siheng Chen; Yanfeng Wang 001 (CVPR Workshops, 2022)

Task Decoupled Framework for Reference-based Super-Resolution. - Yixuan Huang; Xiaoyun Zhang 001; Yu Fu; Siheng Chen; Ya Zhang 002; Yanfeng Wang 001; Dazhi He (CVPR, 2022)

PointMotionNet: Point-Wise Motion Learning for Large-Scale LiDAR Point Clouds Sequences. - Jun Wang 090; Xiaolong Li; Alan Sullivan; A. Lynn Abbott; Siheng Chen (CVPR Workshops, 2022)

GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning. - Chenxin Xu; Maosen Li; Zhenyang Ni; Ya Zhang 002; Siheng Chen (CVPR, 2022)

Remember Intentions: Retrospective-Memory-based Trajectory Prediction. - Chenxin Xu; Weibo Mao; Wenjun Zhang 001; Siheng Chen (CVPR, 2022)

No-Reference Point Cloud Quality Assessment via Domain Adaptation. - Qi Yang 003; Yipeng Liu 003; Siheng Chen; Yiling Xu; Jun Sun 005 (CVPR, 2022)

Latency-Aware Collaborative Perception. - Zixing Lei; Shunli Ren; Yue Hu; Wenjun Zhang 001; Siheng Chen (ECCV (32), 2022)

Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction. - Maosen Li; Siheng Chen; Zijing Zhang; Lingxi Xie; Qi Tian 001; Ya Zhang 002 (ECCV (6), 2022)

Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation. - Yangheng Zhao; Jun Wang 090; Xiaolong Li; Yue Hu; Ce Zhang 008; Yanfeng Wang 001; Siheng Chen (ECCV Workshops (3), 2022)

Aware of the History: Trajectory Forecasting with the Local Behavior Data. - Yiqi Zhong; Zhenyang Ni; Siheng Chen; Ulrich Neumann (ECCV (22), 2022)

Multiscale Graph Scattering Transform. - Genjia Liu; Maosen Li; Siheng Chen (EUSIPCO, 2022)

Spatio-Temporal Graph Complementary Scattering Networks. - Zida Cheng; Siheng Chen; Ya Zhang 002 (ICASSP, 2022)

Detecting Backdoor Attacks against Point Cloud Classifiers. - Zhen Xiang; David J. Miller 001; Siheng Chen; Xi Li 015; George Kesidis (ICASSP, 2022)

Weakly Supervised Online Action Detection for Infant General Movements. - Tongyi Luo; Jia Xiao; Chuncao Zhang; Siheng Chen; Yuan Tian; Guangjun Yu; Kang Dang; Xiaowei Ding (MICCAI (2), 2022)

Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps. - Yue Hu; Shaoheng Fang; Zixing Lei; Yiqi Zhong; Siheng Chen (NeurIPS, 2022)

Energy-Efficient Computation Offloading in MobileEdge Computing Systems with Uncertainties. - Tianxi Ji; Changqing Luo; Lixing Yu; Qianlong Wang; Siheng Chen; Arun Thapa; Pan Li 001 (CoRR, 2022)

Modular representation and control of floppy networks. - Siheng Chen; Fabio Giardina; Gary P. T. Choi; L. Mahadevan (CoRR, 2022)

V2X-Sim: A Virtual Collaborative Perception Dataset for Autonomous Driving. - Yiming Li 003; Ziyan An; Zixun Wang; Yiqi Zhong; Siheng Chen; Chen Feng 002 (CoRR, 2022)

Hierarchical Spherical CNNs with Lifting-based Adaptive Wavelets for Pooling and Unpooling. - Mingxing Xu; Chenglin Li; Wenrui Dai; Siheng Chen; Junni Zou; Pascal Frossard; Hongkai Xiong (CoRR, 2022)

Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational Reasoning. - Chenxin Xu; Yuxi Wei; Bohan Tang; Sheng Yin; Ya Zhang 002; Siheng Chen (CoRR, 2022)

Latency-Aware Collaborative Perception. - Zixing Lei; Shunli Ren; Yue Hu; Wenjun Zhang; Siheng Chen (CoRR, 2022)

Neural Message Passing for Visual Relationship Detection. - Yue Hu; Siheng Chen; Xu Chen 026; Ya Zhang 002; Xiao Gu 001 (CoRR, 2022)

Collaborative Perception for Autonomous Driving: Current Status and Future Trend. - Shunli Ren; Siheng Chen; Wenjun Zhang (CoRR, 2022)

Unrolled Graph Learning for Multi-Agent Collaboration. - Enpei Zhang; Shuo Tang; Xiaowen Dong 001; Siheng Chen; Yanfeng Wang 001 (CoRR, 2022)

Cell clustering for spatial transcriptomics data with graph neural networks. - Jiachen Li; Siheng Chen; Xiaoyong Pan; Ye Yuan; Hong-Bin Shen (Nat. Comput. Sci., 2022)

Learning on Attribute-Missing Graphs. - Xu Chen 026; Siheng Chen; Jiangchao Yao; Huangjie Zheng; Ya Zhang 002; Ivor W. Tsang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Efficient and Stable Graph Scattering Transforms via Pruning. - Vassilis N. Ioannidis; Siheng Chen; Georgios B. Giannakis (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Symbiotic Graph Neural Networks for 3D Skeleton-Based Human Action Recognition and Motion Prediction. - Maosen Li; Siheng Chen; Xu Chen 026; Ya Zhang 002; Yanfeng Wang 001; Qi Tian 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving. - Yiming Li 003; Dekun Ma; Ziyan An; Zixun Wang; Yiqi Zhong; Siheng Chen; Chen Feng 002 (IEEE Robotics Autom. Lett., 2022)

A 3D Mesh-Based Lifting-and-Projection Network for Human Pose Transfer. - Jinxiang Liu; Yangheng Zhao; Siheng Chen; Ya Zhang 002 (IEEE Trans. Multim., 2022)

Energy-Efficient Computation Offloading in Mobile Edge Computing Systems With Uncertainties. - Tianxi Ji; Changqing Luo; Lixing Yu; Qianlong Wang; Siheng Chen; Arun Thapa; Pan Li 001 (IEEE Trans. Wirel. Commun., 2022)

TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving. - Shaoheng Fang; Zi Wang; Yiqi Zhong; Junhao Ge; Siheng Chen (CVPR, 2023)

Collaboration Helps Camera Overtake LiDAR in 3D Detection. - Yue Hu; Yifan Lu; Runsheng Xu; Weidi Xie; Siheng Chen; Yanfeng Wang 001 (CVPR, 2023)

Leapfrog Diffusion Model for Stochastic Trajectory Prediction. - Weibo Mao; Chenxin Xu; Qi Zhu; Siheng Chen; Yanfeng Wang 001 (CVPR, 2023)

EqMotion: Equivariant Multi-Agent Motion Prediction with Invariant Interaction Reasoning. - Chenxin Xu; Robby T. Tan; Yuhong Tan; Siheng Chen; Yu Guang Wang 001; Xinchao Wang; Yanfeng Wang 001 (CVPR, 2023)

Learning Hypergraphs From Signals With Dual Smoothness Prior. - Bohan Tang; Siheng Chen; Xiaowen Dong 001 (ICASSP, 2023)

Among Us: Adversarially Robust Collaborative Perception by Consensus. - Yiming Li 003; Qi Fang; Jiamu Bai; Siheng Chen; Felix Juefei-Xu; Chen Feng 002 (ICCV, 2023)

Joint-Relation Transformer for Multi-Person Motion Prediction. - Qingyao Xu; Weibo Mao; Jingze Gong; Chenxin Xu; Siheng Chen; Weidi Xie; Ya Zhang 002; Yanfeng Wang 001 (ICCV, 2023)

Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction. - Chenxin Xu; Robby T. Tan; Yuhong Tan; Siheng Chen; Xinchao Wang; Yanfeng Wang 001 (ICCV, 2023)

Compatible Transformer for Irregularly Sampled Multivariate Time Series. - Yuxi Wei; Juntong Peng; Tong He; Chenxin Xu; Jian Zhang; Shirui Pan; Siheng Chen (ICDM, 2023)

Personalized Federated Learning with Inferred Collaboration Graphs. - Rui Ye 001; Zhenyang Ni; Fangzhao Wu; Siheng Chen; Yanfeng Wang 001 (ICML, 2023)

FedDisco: Federated Learning with Discrepancy-Aware Collaboration. - Rui Ye 001; Mingkai Xu; Jianyu Wang; Chenxin Xu; Siheng Chen; Yanfeng Wang 001 (ICML, 2023)

Robust Collaborative 3D Object Detection in Presence of Pose Errors. - Yifan Lu; Quanhao Li; Baoan Liu; Mehrdad Dianati; Chen Feng 002; Siheng Chen; Yanfeng Wang 001 (ICRA, 2023)

Emergent Communication in Interactive Sketch Question Answering. - Zixing Lei; Yiming Zhang; Yuxin Xiong; Siheng Chen (NeurIPS, 2023)

Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow. - Sizhe Wei; Yuxi Wei; Yue Hu; Yifan Lu; Yiqi Zhong; Siheng Chen; Ya Zhang 002 (NeurIPS, 2023)

TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving. - Shaoheng Fang; Zi Wang; Yiqi Zhong; Junhao Ge; Siheng Chen; Yanfeng Wang 001 (CoRR, 2023)

Interruption-Aware Cooperative Perception for V2X Communication-Aided Autonomous Driving. - Shunli Ren; Zixing Lei; Zi Wang; Mehrdad Dianati; Yafei Wang 002; Siheng Chen; Wenjun Zhang 001 (CoRR, 2023)

Hypergraph Structure Inference From Data Under Smoothness Prior. - Bohan Tang; Siheng Chen; Xiaowen Dong 001 (CoRR, 2023)

Malicious Agent Detection for Robust Multi-Agent Collaborative Perception. - Yangheng Zhao; Zhen Xiang; Sheng Yin; Xianghe Pang; Siheng Chen; Yanfeng Wang 001 (CoRR, 2023)

Federated Learning Empowered by Generative Content. - Rui Ye 001; Xinyu Zhu; Jingyi Chai; Siheng Chen; Yanfeng Wang 001 (CoRR, 2023)

Discriminative Radial Domain Adaptation. - Zenan Huang; Jun Wen; Siheng Chen; Linchao Zhu; Nenggan Zheng (IEEE Trans. Image Process., 2023)

Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization. - Chen Ju; Peisen Zhao; Siheng Chen; Ya Zhang 002; Xiaoyun Zhang 001; Yanfeng Wang 001; Qi Tian 001 (IEEE Trans. Multim., 2023)

FedFM: Anchor-Based Feature Matching for Data Heterogeneity in Federated Learning. - Rui Ye 001; Zhenyang Ni; Chenxin Xu; Jianyu Wang; Siheng Chen; Yonina C. Eldar (IEEE Trans. Signal Process., 2023)

Aerial Monocular 3D Object Detection. - Yue Hu; Shaoheng Fang; Weidi Xie; Siheng Chen (IEEE Robotics Autom. Lett., 2023)

MPED: Quantifying Point Cloud Distortion Based on Multiscale Potential Energy Discrepancy. - Qi Yang 003; Yujie Zhang; Siheng Chen; Yiling Xu; Jun Sun 005; Zhan Ma (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Multivariate Time Series Forecasting With Dynamic Graph Neural ODEs. - Ming Jin 005; Yu Zheng 013; Yuan-Fang Li; Siheng Chen; Bin Yang 002; Shirui Pan (IEEE Trans. Knowl. Data Eng., 2023)

Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting. - Bohan Tang; Yiqi Zhong; Chenxin Xu; Wei-Tao Wu; Ulrich Neumann; Ya Zhang 002; Siheng Chen; Yanfeng Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Self-Supervised Bird's Eye View Motion Prediction with Cross-Modality Signals. - Shaoheng Fang; Zuhong Liu; Mingyu Wang; Chenxin Xu; Yiqi Zhong; Siheng Chen (AAAI, 2024)

On the Vulnerability of Safety Alignment in Open-Access LLMs. - Jingwei Yi; Rui Ye 001; Qisi Chen; Bin Zhu 008; Siheng Chen; Defu Lian; Guangzhong Sun; Xing Xie 001; Fangzhao Wu (ACL (Findings), 2024)

Multi-hop Diffused Graph Convolution for Resilient UAV Swarm Networks. - Huan Lin; Lianghui Ding; Siheng Chen; Feng Yang 006; Liang Qian (BMSB, 2024)

Communication-Efficient Collaborative Perception via Information Filling with Codebook. - Yue Hu; Juntong Peng; Sifei Liu; Junhao Ge; Si Liu; Siheng Chen (CVPR, 2024)

Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents. - Yuxi Wei; Zi Wang; Yifan Lu; Chenxin Xu; Changxing Liu; Hao Zhao; Siheng Chen; Yanfeng Wang 001 (CVPR, 2024)

FastMAC: Stochastic Spectral Sampling of Correspondence Graph. - Yifei Zhang; Hao Zhao; Hongyang Li; Siheng Chen (CVPR, 2024)

KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server. - Wenhao Wang 002; Xiaoyu Liang; Rui Ye 001; Jingyi Chai; Siheng Chen; Yanfeng Wang 001 (EMNLP, 2024)

Hypergraph Transformer for Semi-Supervised Classification. - Zexi Liu; Bohan Tang; Ziyuan Ye; Xiaowen Dong 001; Siheng Chen; Yanfeng Wang 001 (ICASSP, 2024)

Hypergraph-Mlp: Learning on Hypergraphs Without Message Passing. - Bohan Tang; Siheng Chen; Xiaowen Dong 001 (ICASSP, 2024)

An Extensible Framework for Open Heterogeneous Collaborative Perception. - Yifan Lu; Yue Hu; Yiqi Zhong; Dequan Wang; Yanfeng Wang 001; Siheng Chen (ICLR, 2024)

Fake It Till Make It: Federated Learning with Consensus-Oriented Generation. - Rui Ye 001; Yaxin Du; Zhenyang Ni; Yanfeng Wang 001; Siheng Chen (ICLR, 2024)

Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation. - Xianghe Pang; Shuo Tang; Rui Ye 001; Yuxin Xiong; Bolun Zhang; Yanfeng Wang 001; Siheng Chen (ICML, 2024)

Robust Collaborative Perception without External Localization and Clock Devices. - Zixing Lei; Zhenyang Ni; Ruize Han; Shuo Tang; Chen Feng 002; Siheng Chen; Yanfeng Wang 001 (ICRA, 2024)

MADE: Malicious Agent Detection for Robust Multi-Agent Collaborative Perception. - Yangheng Zhao; Zhen Xiang; Sheng Yin; Xianghe Pang; Yanfeng Wang 001; Siheng Chen (IROS, 2024)

OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning. - Rui Ye 001; Wenhao Wang 002; Jingyi Chai; Dihan Li; Zexi Li; Yinda Xu; Yaxin Du; Yanfeng Wang 001; Siheng Chen (KDD, 2024)

Language-Driven Interactive Traffic Trajectory Generation. - Junkai Xia; Chenxin Xu; Qingyao Xu; Yanfeng Wang 001; Siheng Chen (NeurIPS, 2024)

FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models. - Rui Ye 001; Rui Ge 008; Xinyu Zhu; Jingyi Chai; Yaxin Du; Yang Liu; Yanfeng Wang 001; Siheng Chen (NeurIPS, 2024)

Fuzzy Granular-Balls Based Spectral Clustering. - Yueyang Li; Siheng Chen; Guangming Lang (IJCRS (1), 2024)

Learn What You Need in Personalized Federated Learning. - Kexin Lv; Rui Ye 001; Xiaolin Huang; Jie Yang 002; Siheng Chen (CoRR, 2024)

Pragmatic Communication in Multi-Agent Collaborative Perception. - Yue Hu; Xianghe Pang; Xiaoqi Qin; Yonina C. Eldar; Siheng Chen; Ping Zhang 003; Wenjun Zhang 001 (CoRR, 2024)

FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units. - Shaoheng Fang; Rui Ye 001; Wenhao Wang 002; Zuhong Liu; Yuxiao Wang; Yafei Wang 002; Siheng Chen; Yanfeng Wang 001 (CoRR, 2024)

Hypergraph Node Classification With Graph Neural Networks. - Bohan Tang; Zexi Liu; Keyue Jiang; Siheng Chen; Xiaowen Dong 001 (CoRR, 2024)

Enhancing Data Quality in Federated Fine-Tuning of Foundation Models. - Wanru Zhao; Yaxin Du; Nicholas Donald Lane; Siheng Chen; Yanfeng Wang 001 (CoRR, 2024)

Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning. - Shuo Tang; Rui Ye 001; Chenxin Xu; Xiaowen Dong 001; Siheng Chen; Yanfeng Wang 001 (CoRR, 2024)

V2X-PC: Vehicle-to-everything Collaborative Perception via Point Cluster. - Si Liu 001; Zihan Ding; Jiahui Fu 003; Hongyu Li; Siheng Chen; Shifeng Zhang; Xu Zhou (CoRR, 2024)

Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End System. - Genjia Liu; Yue Hu; Chenxin Xu; Weibo Mao; Junhao Ge; Zhengxiang Huang; Yifan Lu; Yinda Xu; Junkai Xia; Yafei Wang 002; Siheng Chen (CoRR, 2024)

Physical Backdoor Attack can Jeopardize Driving with Vision-Large-Language Models. - Zhenyang Ni; Rui Ye 001; Yuxi Wei; Zhen Xiang; Yanfeng Wang 001; Siheng Chen (CoRR, 2024)

Robust Collaborative Perception without External Localization and Clock Devices. - Zixing Lei; Zhenyang Ni; Ruize Han; Shuo Tang; Dingju Wang; Chen Feng 002; Siheng Chen; Yanfeng Wang 001 (CoRR, 2024)

Language-Driven Interactive Traffic Trajectory Generation. - Junkai Xia; Chenxin Xu; Qingyao Xu; Chen Xie; Yanfeng Wang 001; Siheng Chen (CoRR, 2024)

Graph Transductive Defense: a Two-Stage Defense for Graph Membership Inference Attacks. - Peizhi Niu; Chao Pan 003; Siheng Chen; Olgica Milenkovic (CoRR, 2024)

Self-Localized Collaborative Perception. - Zhenyang Ni; Zixing Lei; Yifan Lu; Dingju Wang; Chen Feng 002; Yanfeng Wang 001; Siheng Chen (CoRR, 2024)

Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Models. - Rui Ye 001; Rui Ge 008; Yuchi Fengting; Jingyi Chai; Yanfeng Wang 001; Siheng Chen (CoRR, 2024)

Federated Instruction Tuning of LLMs with Domain Coverage Augmentation. - Zezhou Wang; Yaxin Du; Zhuzhong Qian; Siheng Chen (CoRR, 2024)

Data Quality Control in Federated Instruction-tuning of Large Language Models. - Yaxin Du; Rui Ye 001; Yuchi Fengting; Wanru Zhao; Jingjing Qu; Yanfeng Wang 001; Siheng Chen (CoRR, 2024)

Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation. - Shuo Tang; Xianghe Pang; Zexi Liu; Bohan Tang; Rui Ye 001; Xiaowen Dong 001; Yanfeng Wang 001; Siheng Chen (CoRR, 2024)

V2X-R: Cooperative LiDAR-4D Radar Fusion for 3D Object Detection with Denoising Diffusion. - Xun Huang; Jinlong Wang; Qiming Xia; Siheng Chen; Bisheng Yang; Xin Li 003; Cheng Wang 003; Chenglu Wen (CoRR, 2024)

DiffPatch: Generating Customizable Adversarial Patches using Diffusion Model. - Zhixiang Wang; Guangnan Ye; Xiaosen Wang; Siheng Chen; Zhibo Wang; Xingjun Ma; Yu-Gang Jiang 001 (CoRR, 2024)

Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review. - Rui Ye 001; Xianghe Pang; Jingyi Chai; Jiaao Chen; Zhenfei Yin; Zhen Xiang; Xiaowen Dong 001; Jing Shao; Siheng Chen (CoRR, 2024)

InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models. - Yifan Lu; Xuanchi Ren; Jiawei Yang 002; Tianchang Shen; Zhangjie Wu; Jun Gao 004; Yue Wang 041; Siheng Chen; Mike Chen; Sanja Fidler; Jiahui Huang (CoRR, 2024)

ChatDyn: Language-Driven Multi-Actor Dynamics Generation in Street Scenes. - Yuxi Wei; Jingbo Wang 003; Yuwen Du; Dingju Wang; Liang Pan; Chenxin Xu; Yao Feng 001; Bo Dai 002; Siheng Chen (CoRR, 2024)

SafeAgentBench: A Benchmark for Safe Task Planning of Embodied LLM Agents. - Sheng Yin; Xianghe Pang; Yuanzhuo Ding; Menglan Chen; Yutong Bi; Yichen Xiong; Wenhao Huang; Zhen Xiang; Jing Shao; Siheng Chen (CoRR, 2024)

Dynamic-group-aware networks for multi-agent trajectory prediction with relational reasoning. - Chenxin Xu; Yuxi Wei; Bohan Tang; Sheng Yin; Ya Zhang 002; Siheng Chen; Yanfeng Wang 001 (Neural Networks, 2024)

Interruption-Aware Cooperative Perception for V2X Communication-Aided Autonomous Driving. - Shunli Ren; Zixing Lei; Zi Wang; Mehrdad Dianati; Yafei Wang 001; Siheng Chen; Wenjun Zhang 001 (IEEE Trans. Intell. Veh., 2024)

Online Multi-Agent Forecasting With Interpretable Collaborative Graph Neural Networks. - Maosen Li; Siheng Chen; Yanning Shen; Genjia Liu; Ivor W. Tsang; Ya Zhang 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Collaborative Joint Perception and Prediction for Autonomous Driving. - Shunli Ren; Siheng Chen; Wenjun Zhang 001 (Sensors, 2024)

FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units. - Shaoheng Fang; Rui Ye 001; Wenhao Wang 002; Zuhong Liu; Yuxiao Wang; Yafei Wang 001; Siheng Chen; Yanfeng Wang 001 (IEEE Trans. Intell. Transp. Syst., 2024)

FedDQC: Data Quality Control in Federated Instruction-tuning of Large Language Models. - Yaxin Du; Rui Ye 001; Fengting Yuchi; Wanru Zhao; Jingjing Qu; Yanfeng Wang 001; Siheng Chen (ACL (Findings), 2025)

Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation. - Shuo Tang; Xianghe Pang; Zexi Liu; Bohan Tang; Rui Ye 001; Tian Jin; Xiaowen Dong 001; Yanfeng Wang 001; Siheng Chen (ACL (1), 2025)

V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection. - Xun Huang; Jinlong Wang; Qiming Xia; Siheng Chen; Bisheng Yang; Xin Li 003; Cheng Wang 003; Chenglu Wen (CVPR, 2025)

Learning to Detect Objects from Multi-Agent LiDAR Scans without Manual Labels. - Qiming Xia; Wenkai Lin; Haoen Xiang; Xun Huang; Siheng Chen; Zhen Dong 005; Cheng Wang 003; Chenglu Wen (CVPR, 2025)

One is Plenty: A Polymorphic Feature Interpreter for Immutable Heterogeneous Collaborative Perception. - Yuchen Xia; Quan Yuan 004; Guiyang Luo; Xiaoyuan Fu; Yang Li; Xuanhan Zhu; Tianyou Luo; Siheng Chen; Jinglin Li (CVPR, 2025)

Point Cluster: A Compact Message Unit for Communication-Efficient Collaborative Perception. - Zihan Ding; Jiahui Fu 003; Si Liu 001; Hongyu Li; Siheng Chen; Hongsheng Li 001; Shifeng Zhang; Xu Zhou (ICLR, 2025)

Self-Evolving Multi-Agent Collaboration Networks for Software Development. - Yue Hu; Yuzhu Cai; Yaxin Du; Xinyu Zhu; Xiangrui Liu; Zijie Yu; Yuchen Hou; Shuo Tang; Siheng Chen (ICLR, 2025)

Training-Free Message Passing for Learning on Hypergraphs. - Bohan Tang; Zexi Liu; Keyue Jiang; Siheng Chen; Xiaowen Dong 001 (ICLR, 2025)

Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models. - Rui Ye 001; Jingyi Chai; Xiangrui Liu; Yaodong Yang 001; Yanfeng Wang 001; Siheng Chen (ICLR, 2025)

Ethical-Lens: Curbing malicious usages of open-source text-to-image models. - Yuzhu Cai; Sheng Yin; Yuxi Wei; Chenxin Xu; Weibo Mao; Felix Juefei-Xu; Siheng Chen; Yanfeng Wang 001 (Patterns, 2025)

FedMobileAgent: Training Mobile Agents Using Decentralized Self-Sourced Data from Diverse Users. - Wenhao Wang 002; Zijie Yu; William Liu; Rui Ye 001; Tian Jin; Siheng Chen; Yanfeng Wang 001 (CoRR, 2025)

Safety at Scale: A Comprehensive Survey of Large Model Safety. - Xingjun Ma; Yifeng Gao; Yixu Wang; Ruofan Wang; Xin Wang; Ye Sun; Yifan Ding; Hengyuan Xu; Yunhao Chen; Yunhan Zhao; Hanxun Huang; Yige Li; et al. (CoRR, 2025)

MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems. - Rui Ye 001; Shuo Tang; Rui Ge 008; Yaxin Du; Zhenfei Yin; Siheng Chen; Jing Shao (CoRR, 2025)

FedMABench: Benchmarking Mobile Agents on Decentralized Heterogeneous User Data. - Wenhao Wang 002; Zijie Yu; Rui Ye 001; Jianqing Zhang; Siheng Chen; Yanfeng Wang 001 (CoRR, 2025)

CoLMDriver: LLM-based Negotiation Benefits Cooperative Autonomous Driving. - Changxing Liu; Genjia Liu; Zijun Wang; Jinchang Yang; Siheng Chen (CoRR, 2025)

RoCo-Sim: Enhancing Roadside Collaborative Perception through Foreground Simulation. - Yuwen Du; Anning Hu; Zichen Chao; Yifan Lu; Junhao Ge; Genjia Liu; Weitao Wu; Lanjun Wang; Siheng Chen (CoRR, 2025)

GNNs as Predictors of Agentic Workflow Performances. - Yuanshuo Zhang; Yuchen Hou; Bohan Tang; Shuo Chen; Muhan Zhang; Xiaowen Dong 001; Siheng Chen (CoRR, 2025)

ChatBEV: A Visual Language Model that Understands BEV Maps. - Qingyao Xu; Siheng Chen; Guang Chen; Yanfeng Wang 001; Ya Zhang 002 (CoRR, 2025)

Unraveling the Effects of Synthetic Data on End-to-End Autonomous Driving. - Junhao Ge; Zuhong Liu; Longteng Fan; Yifan Jiang; Jiaqi Su; Yiming Li; Zhejun Zhang; Siheng Chen (CoRR, 2025)

VLMGuard-R1: Proactive Safety Alignment for VLMs via Reasoning-Driven Prompt Optimization. - Menglan Chen; Xianghe Pang; Jingjing Dong; WenHao Wang; Yaxin Du; Siheng Chen (CoRR, 2025)

Incentivizing Inclusive Contributions in Model Sharing Markets. - Enpei Zhang; Jingyi Chai; Rui Ye 001; Yanfeng Wang 001; Siheng Chen (CoRR, 2025)

SWE-Dev: Evaluating and Training Autonomous Feature-Driven Software Development. - Yaxin Du; Yuzhu Cai; Yifan Zhou; Cheng Wang; Yu Qian; Xianghe Pang; Qian Liu; Yue Hu; Siheng Chen (CoRR, 2025)

MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems. - Rui Ye 001; Keduan Huang; Qimin Wu; Yuzhu Cai; Tian Jin; Xianghe Pang; Xiangrui Liu; Jiaqi Su; Chen Qian; Bohan Tang; Kaiqu Liang; Jiaao Chen; et al. (CoRR, 2025)

X-MAS: Towards Building Multi-Agent Systems with Heterogeneous LLMs. - Rui Ye 001; Xiangrui Liu; Qimin Wu; Xianghe Pang; Zhenfei Yin; Lei Bai 001; Siheng Chen (CoRR, 2025)

ML-Agent: Reinforcing LLM Agents for Autonomous Machine Learning Engineering. - Zexi Liu; Jingyi Chai; Xinyu Zhu; Shuo Tang; Rui Ye 001; Bolun Zhang; Lei Bai 001; Siheng Chen (CoRR, 2025)

BeliefMapNav: 3D Voxel-Based Belief Map for Zero-Shot Object Navigation. - Zibo Zhou; Yue Hu; Lingkai Zhang; Zonglin Li; Siheng Chen (CoRR, 2025)

AGC-Drive: A Large-Scale Dataset for Real-World Aerial-Ground Collaboration in Driving Scenarios. - Yunhao Hou; Bochao Zou; Min Zhang; Ran Chen; Shangdong Yang; Yanmei Zhang; Junbao Zhuo; Siheng Chen; Jiansheng Chen; Huimin Ma 001 (CoRR, 2025)

ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning. - Zexi Liu; Yuzhu Cai; Xinyu Zhu; Yujie Zheng; Runkun Chen; Ying Wen; Yanfeng Wang 001; Weinan E; Siheng Chen (CoRR, 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)

SciMaster: Towards General-Purpose Scientific AI Agents, Part I. X-Master as Foundation: Can We Lead on Humanity's Last Exam? - Jingyi Chai; Shuo Tang; Rui Ye 001; Yuwen Du; Xinyu Zhu; Mengcheng Zhou; Yanfeng Wang 001; Weinan E; Yuzhi Zhang; Linfeng Zhang 002; Siheng Chen (CoRR, 2025)

Communication-Efficient Multi-Agent 3D Detection via Hybrid Collaboration. - Yue Hu; Juntong Peng; Yunqiao Yang; Siheng Chen (CoRR, 2025)

BrowseMaster: Towards Scalable Web Browsing via Tool-Augmented Programmatic Agent Pair. - Xianghe Pang; Shuo Tang; Rui Ye 001; Yuwen Du; Yaxin Du; Siheng Chen (CoRR, 2025)

Toward Collaborative Autonomous Driving: Simulation Platform and End-to-End System. - Genjia Liu; Yue Hu; Chenxin Xu; Weibo Mao; Junhao Ge; Zhengxiang Huang; Yifan Lu; Yinda Xu; Junkai Xia; Yafei Wang 001; Siheng Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2025)