Siheng Chen

According to our database, Siheng Chen authored at least 191 papers between 2013 and 2024.

Collaborative distances:

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

2024

FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units.

Shaoheng Fang, Rui Ye, Wenhao Wang, Zuhong Liu, Yuxiao Wang, Yafei Wang, Siheng Chen, Yanfeng Wang

IEEE Trans. Intell. Transp. Syst., November, 2024

Collaborative Joint Perception and Prediction for Autonomous Driving.

Shunli Ren, Siheng Chen, Wenjun Zhang

Sensors, October, 2024

Online Multi-Agent Forecasting With Interpretable Collaborative Graph Neural Networks.

Maosen Li, Siheng Chen, Yanning Shen, Genjia Liu, Ivor W. Tsang, Ya Zhang

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Interruption-Aware Cooperative Perception for V2X Communication-Aided Autonomous Driving.

Shunli Ren, Zixing Lei, Zi Wang, Mehrdad Dianati, Yafei Wang, Siheng Chen, Wenjun Zhang

IEEE Trans. Intell. Veh., April, 2024

Dynamic-group-aware networks for multi-agent trajectory prediction with relational reasoning.

Chenxin Xu, Yuxi Wei, Bohan Tang, Sheng Yin, Ya Zhang, Siheng Chen, Yanfeng Wang

Neural Networks, 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

ChatDyn: Language-Driven Multi-Actor Dynamics Generation in Street Scenes.

Yuxi Wei, Jingbo Wang, Yuwen Du, Dingju Wang, Liang Pan, Chenxin Xu, Yao Feng, Bo Dai, Siheng Chen

CoRR, 2024

InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models.

Yifan Lu, Xuanchi Ren, Jiawei Yang, Tianchang Shen, Zhangjie Wu, Jun Gao, Yue Wang, Siheng Chen, Mike Chen, Sanja Fidler, Jiahui Huang

CoRR, 2024

Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review.

Rui Ye, Xianghe Pang, Jingyi Chai, Jiaao Chen, Zhenfei Yin, Zhen Xiang, Xiaowen Dong, Jing Shao, Siheng Chen

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

CoRR, 2024

One is Plenty: A Polymorphic Feature Interpreter for Immutable Heterogeneous Collaborative Perception.

Yuchen Xia, Quan Yuan, Guiyang Luo, Xiaoyuan Fu, Yang Li, Xuanhan Zhu, Tianyou Luo, Siheng Chen, Jinglin Li

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, Cheng Wang, Chenglu Wen

CoRR, 2024

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

CoRR, 2024

Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation.

Shuo Tang, Xianghe Pang, Zexi Liu, Bohan Tang, Rui Ye, Xiaowen Dong, Yanfeng Wang, Siheng Chen

CoRR, 2024

Data Quality Control in Federated Instruction-tuning of Large Language Models.

Yaxin Du, Rui Ye, Yuchi Fengting, Wanru Zhao, Jingjing Qu, Yanfeng Wang, Siheng Chen

CoRR, 2024

Federated Instruction Tuning of LLMs with Domain Coverage Augmentation.

Zezhou Wang, Yaxin Du, Zhuzhong Qian, Siheng Chen

CoRR, 2024

Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Models.

Rui Ye, Rui Ge, Yuchi Fengting, Jingyi Chai, Yanfeng Wang, Siheng Chen

CoRR, 2024

Self-Localized Collaborative Perception.

Zhenyang Ni, Zixing Lei, Yifan Lu, Dingju Wang, Chen Feng, Yanfeng Wang, Siheng Chen

CoRR, 2024

Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models.

Rui Ye, Jingyi Chai, Xiangrui Liu, Yaodong Yang, Yanfeng Wang, Siheng Chen

CoRR, 2024

Graph Transductive Defense: a Two-Stage Defense for Graph Membership Inference Attacks.

Peizhi Niu, Chao Pan, Siheng Chen, Olgica Milenkovic

CoRR, 2024

FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models.

Rui Ye, Rui Ge, Xinyu Zhu, Jingyi Chai, Yaxin Du, Yang Liu, Yanfeng Wang, Siheng Chen

CoRR, 2024

Language-Driven Interactive Traffic Trajectory Generation.

Junkai Xia, Chenxin Xu, Qingyao Xu, Chen Xie, Yanfeng Wang, 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, Siheng Chen, Yanfeng Wang

CoRR, 2024

Physical Backdoor Attack can Jeopardize Driving with Vision-Large-Language Models.

Zhenyang Ni, Rui Ye, Yuxi Wei, Zhen Xiang, Yanfeng Wang, Siheng Chen

CoRR, 2024

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

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, Siheng Chen

CoRR, 2024

V2X-PC: Vehicle-to-everything Collaborative Perception via Point Cluster.

Si Liu, Zihan Ding, Jiahui Fu, Hongyu Li, Siheng Chen, Shifeng Zhang, Xu Zhou

CoRR, 2024

Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning.

Shuo Tang, Rui Ye, Chenxin Xu, Xiaowen Dong, Siheng Chen, Yanfeng Wang

CoRR, 2024

Enhancing Data Quality in Federated Fine-Tuning of Foundation Models.

Wanru Zhao, Yaxin Du, Nicholas Donald Lane, Siheng Chen, Yanfeng Wang

CoRR, 2024

Hypergraph Node Classification With Graph Neural Networks.

Bohan Tang, Zexi Liu, Keyue Jiang, Siheng Chen, Xiaowen Dong

CoRR, 2024

Pragmatic Communication in Multi-Agent Collaborative Perception.

Yue Hu, Xianghe Pang, Xiaoqi Qin, Yonina C. Eldar, Siheng Chen, Ping Zhang, Wenjun Zhang

CoRR, 2024

Learn What You Need in Personalized Federated Learning.

Kexin Lv, Rui Ye, Xiaolin Huang, Jie Yang, Siheng Chen

CoRR, 2024

Fuzzy Granular-Balls Based Spectral Clustering.

Yueyang Li, Siheng Chen, Guangming Lang

Proceedings of the Rough Sets - International Joint Conference, 2024

OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning.

Rui Ye, Wenhao Wang, Jingyi Chai, Dihan Li, Zexi Li, Yinda Xu, Yaxin Du, Yanfeng Wang, Siheng Chen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

MADE: Malicious Agent Detection for Robust Multi-Agent Collaborative Perception.

Yangheng Zhao, Zhen Xiang, Sheng Yin, Xianghe Pang, Yanfeng Wang, Siheng Chen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Robust Collaborative Perception without External Localization and Clock Devices.

Zixing Lei, Zhenyang Ni, Ruize Han, Shuo Tang, Chen Feng, Siheng Chen, Yanfeng Wang

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation.

Xianghe Pang, Shuo Tang, Rui Ye, Yuxin Xiong, Bolun Zhang, Yanfeng Wang, Siheng Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fake It Till Make It: Federated Learning with Consensus-Oriented Generation.

Rui Ye, Yaxin Du, Zhenyang Ni, Yanfeng Wang, Siheng Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

An Extensible Framework for Open Heterogeneous Collaborative Perception.

Yifan Lu, Yue Hu, Yiqi Zhong, Dequan Wang, Yanfeng Wang, Siheng Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Hypergraph-Mlp: Learning on Hypergraphs Without Message Passing.

Bohan Tang, Siheng Chen, Xiaowen Dong

Proceedings of the IEEE International Conference on Acoustics, 2024

Hypergraph Transformer for Semi-Supervised Classification.

Zexi Liu, Bohan Tang, Ziyuan Ye, Xiaowen Dong, Siheng Chen, Yanfeng Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server.

Wenhao Wang, Xiaoyu Liang, Rui Ye, Jingyi Chai, Siheng Chen, Yanfeng Wang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

FastMAC: Stochastic Spectral Sampling of Correspondence Graph.

Yifei Zhang, Hao Zhao, Hongyang Li, Siheng Chen

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Communication-Efficient Collaborative Perception via Information Filling with Codebook.

Yue Hu, Juntong Peng, Sifei Liu, Junhao Ge, Si Liu, Siheng Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Multi-hop Diffused Graph Convolution for Resilient UAV Swarm Networks.

Huan Lin, Lianghui Ding, Siheng Chen, Feng Yang, Liang Qian

Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2024

On the Vulnerability of Safety Alignment in Open-Access LLMs.

Jingwei Yi, Rui Ye, Qisi Chen, Bin Zhu, Siheng Chen, Defu Lian, Guangzhong Sun, Xing Xie, Fangzhao Wu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Self-Supervised Bird's Eye View Motion Prediction with Cross-Modality Signals.

Shaoheng Fang, Zuhong Liu, Mingyu Wang, Chenxin Xu, Yiqi Zhong, Siheng Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting.

Bohan Tang, Yiqi Zhong, Chenxin Xu, Wei-Tao Wu, Ulrich Neumann, Ya Zhang, Siheng Chen, Yanfeng Wang

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Multivariate Time Series Forecasting With Dynamic Graph Neural ODEs.

Ming Jin, Yu Zheng, Yuan-Fang Li, Siheng Chen, Bin Yang, Shirui Pan

IEEE Trans. Knowl. Data Eng., September, 2023

MPED: Quantifying Point Cloud Distortion Based on Multiscale Potential Energy Discrepancy.

Qi Yang, Yujie Zhang, Siheng Chen, Yiling Xu, Jun Sun, Zhan Ma

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Aerial Monocular 3D Object Detection.

Yue Hu, Shaoheng Fang, Weidi Xie, Siheng Chen

IEEE Robotics Autom. Lett., April, 2023

FedFM: Anchor-Based Feature Matching for Data Heterogeneity in Federated Learning.

Rui Ye, Zhenyang Ni, Chenxin Xu, Jianyu Wang, Siheng Chen, Yonina C. Eldar

IEEE Trans. Signal Process., 2023

Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization.

Chen Ju, Peisen Zhao, Siheng Chen, Ya Zhang, Xiaoyun Zhang, Yanfeng Wang, Qi Tian

IEEE Trans. Multim., 2023

Discriminative Radial Domain Adaptation.

Zenan Huang, Jun Wen, Siheng Chen, Linchao Zhu, Nenggan Zheng

IEEE Trans. Image Process., 2023

Federated Learning Empowered by Generative Content.

Rui Ye, Xinyu Zhu, Jingyi Chai, Siheng Chen, Yanfeng Wang

CoRR, 2023

Malicious Agent Detection for Robust Multi-Agent Collaborative Perception.

Yangheng Zhao, Zhen Xiang, Sheng Yin, Xianghe Pang, Siheng Chen, Yanfeng Wang

CoRR, 2023

Hypergraph Structure Inference From Data Under Smoothness Prior.

Bohan Tang, Siheng Chen, Xiaowen Dong

CoRR, 2023

Interruption-Aware Cooperative Perception for V2X Communication-Aided Autonomous Driving.

Shunli Ren, Zixing Lei, Zi Wang, Mehrdad Dianati, Yafei Wang, Siheng Chen, Wenjun Zhang

CoRR, 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

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Emergent Communication in Interactive Sketch Question Answering.

Zixing Lei, Yiming Zhang, Yuxin Xiong, Siheng Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robust Collaborative 3D Object Detection in Presence of Pose Errors.

Yifan Lu, Quanhao Li, Baoan Liu, Mehrdad Dianati, Chen Feng, Siheng Chen, Yanfeng Wang

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

FedDisco: Federated Learning with Discrepancy-Aware Collaboration.

Rui Ye, Mingkai Xu, Jianyu Wang, Chenxin Xu, Siheng Chen, Yanfeng Wang

Proceedings of the International Conference on Machine Learning, 2023

Personalized Federated Learning with Inferred Collaboration Graphs.

Rui Ye, Zhenyang Ni, Fangzhao Wu, Siheng Chen, Yanfeng Wang

Proceedings of the International Conference on Machine Learning, 2023

Compatible Transformer for Irregularly Sampled Multivariate Time Series.

Yuxi Wei, Juntong Peng, Tong He, Chenxin Xu, Jian Zhang, Shirui Pan, Siheng Chen

Proceedings of the IEEE International Conference on Data Mining, 2023

Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction.

Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Xinchao Wang, Yanfeng Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Joint-Relation Transformer for Multi-Person Motion Prediction.

Qingyao Xu, Weibo Mao, Jingze Gong, Chenxin Xu, Siheng Chen, Weidi Xie, Ya Zhang, Yanfeng Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Among Us: Adversarially Robust Collaborative Perception by Consensus.

Yiming Li, Qi Fang, Jiamu Bai, Siheng Chen, Felix Juefei-Xu, Chen Feng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Hypergraphs From Signals With Dual Smoothness Prior.

Bohan Tang, Siheng Chen, Xiaowen Dong

Proceedings of the IEEE International Conference on Acoustics, 2023

EqMotion: Equivariant Multi-Agent Motion Prediction with Invariant Interaction Reasoning.

Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Yu Guang Wang, Xinchao Wang, Yanfeng Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Leapfrog Diffusion Model for Stochastic Trajectory Prediction.

Weibo Mao, Chenxin Xu, Qi Zhu, Siheng Chen, Yanfeng Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Collaboration Helps Camera Overtake LiDAR in 3D Detection.

Yue Hu, Yifan Lu, Runsheng Xu, Weidi Xie, Siheng Chen, Yanfeng Wang

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

IEEE Trans. Wirel. Commun., 2022

A 3D Mesh-Based Lifting-and-Projection Network for Human Pose Transfer.

Jinxiang Liu, Yangheng Zhao, Siheng Chen, Ya Zhang

IEEE Trans. Multim., 2022

V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving.

Yiming Li, Dekun Ma, Ziyan An, Zixun Wang, Yiqi Zhong, Siheng Chen, Chen Feng

IEEE Robotics Autom. Lett., 2022

Symbiotic Graph Neural Networks for 3D Skeleton-Based Human Action Recognition and Motion Prediction.

Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian

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

Learning on Attribute-Missing Graphs.

Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W. Tsang

IEEE Trans. Pattern Anal. Mach. Intell., 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

Unrolled Graph Learning for Multi-Agent Collaboration.

Enpei Zhang, Shuo Tang, Xiaowen Dong, Siheng Chen, Yanfeng Wang

CoRR, 2022

Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation.

Yangheng Zhao, Jun Wang, Xiaolong Li, Yue Hu, Ce Zhang, Yanfeng Wang, Siheng Chen

CoRR, 2022

Collaborative Perception for Autonomous Driving: Current Status and Future Trend.

Shunli Ren, Siheng Chen, Wenjun Zhang

CoRR, 2022

Neural Message Passing for Visual Relationship Detection.

Yue Hu, Siheng Chen, Xu Chen, Ya Zhang, Xiao Gu

CoRR, 2022

Latency-Aware Collaborative Perception.

Zixing Lei, Shunli Ren, Yue Hu, Wenjun Zhang, Siheng Chen

CoRR, 2022

Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational Reasoning.

Chenxin Xu, Yuxi Wei, Bohan Tang, Sheng Yin, Ya Zhang, Siheng Chen

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

V2X-Sim: A Virtual Collaborative Perception Dataset for Autonomous Driving.

Yiming Li, Ziyan An, Zixun Wang, Yiqi Zhong, Siheng Chen, Chen Feng

CoRR, 2022

Modular representation and control of floppy networks.

Siheng Chen, Fabio Giardina, Gary P. T. Choi, L. Mahadevan

CoRR, 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

CoRR, 2022

Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps.

Yue Hu, Shaoheng Fang, Zixing Lei, Yiqi Zhong, Siheng Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Detecting Backdoor Attacks against Point Cloud Classifiers.

Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis

Proceedings of the IEEE International Conference on Acoustics, 2022

Spatio-Temporal Graph Complementary Scattering Networks.

Zida Cheng, Siheng Chen, Ya Zhang

Proceedings of the IEEE International Conference on Acoustics, 2022

Multiscale Graph Scattering Transform.

Genjia Liu, Maosen Li, Siheng Chen

Proceedings of the 30th European Signal Processing Conference, 2022

Aware of the History: Trajectory Forecasting with the Local Behavior Data.

Yiqi Zhong, Zhenyang Ni, Siheng Chen, Ulrich Neumann

Proceedings of the Computer Vision - ECCV 2022, 2022

Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation.

Yangheng Zhao, Jun Wang, Xiaolong Li, Yue Hu, Ce Zhang, Yanfeng Wang, Siheng Chen

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction.

Maosen Li, Siheng Chen, Zijing Zhang, Lingxi Xie, Qi Tian, Ya Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022

Latency-Aware Collaborative Perception.

Zixing Lei, Shunli Ren, Yue Hu, Wenjun Zhang, Siheng Chen

Proceedings of the Computer Vision - ECCV 2022, 2022

No-Reference Point Cloud Quality Assessment via Domain Adaptation.

Qi Yang, Yipeng Liu, Siheng Chen, Yiling Xu, Jun Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Remember Intentions: Retrospective-Memory-based Trajectory Prediction.

Chenxin Xu, Weibo Mao, Wenjun Zhang, Siheng Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning.

Chenxin Xu, Maosen Li, Zhenyang Ni, Ya Zhang, Siheng Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

PointMotionNet: Point-Wise Motion Learning for Large-Scale LiDAR Point Clouds Sequences.

Jun Wang, Xiaolong Li, Alan Sullivan, A. Lynn Abbott, Siheng Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Task Decoupled Framework for Reference-based Super-Resolution.

Yixuan Huang, Xiaoyun Zhang, Yu Fu, Siheng Chen, Ya Zhang, Yanfeng Wang, Dazhi He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Unpaired Face Restoration via Learnable Cross-Quality Shift.

Yangyi Dong, Xiaoyun Zhang, Zhixin Wang, Ya Zhang, Siheng Chen, Yanfeng Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising.

Siheng Chen, Yonina C. Eldar, Lingxiao Zhao

IEEE Trans. Signal Process., 2021

Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction.

Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian

IEEE Trans. Image Process., 2021

3D Point Cloud Processing and Learning for Autonomous Driving: Impacting Map Creation, Localization, and Perception.

Siheng Chen, Baoan Liu, Chen Feng, Carlos Vallespi-Gonzalez, Carl Wellington

IEEE Signal Process. Mag., 2021

Dynamic Differential-Privacy Preserving SGD.

Jian Du, Song Li, Fengran Mo, Siheng Chen

CoRR, 2021

Joint 3D Human Shape Recovery from A Single Imag with Bilayer-Graph.

Xin Yu, Jeroen van Baar, Siheng Chen

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

CoRR, 2021

Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization.

Chen Ju, Peisen Zhao, Siheng Chen, Ya Zhang, Xiaoyun Zhang, Qi Tian

CoRR, 2021

Point Cloud Distortion Quantification based on Potential Energy for Human and Machine Perception.

Qi Yang, Siheng Chen, Yiling Xu, Jun Sun, M. Salman Asif, Zhan Ma

CoRR, 2021

Handwritten Chinese Font Generation with Collaborative Stroke Refinement.

Chuan Wen, Yujie Pan, Jie Chang, Ya Zhang, Siheng Chen, Yanfeng Wang, Mei Han, Qi Tian

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Collaborative Uncertainty in Multi-Agent Trajectory Forecasting.

Bohan Tang, Yiqi Zhong, Ulrich Neumann, Gang Wang, Siheng Chen, Ya Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning to Learn Graph Topologies.

Xingyue Pu, Tianyue Cao, Xiaoyun Zhang, Xiaowen Dong, Siheng Chen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Distilled Collaboration Graph for Multi-Agent Perception.

Yiming Li, Shunli Ren, Pengxiang Wu, Siheng Chen, Chen Feng, Wenjun Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Spatio-Temporal Graph Scattering Transform.

Chao Pan, Siheng Chen, Antonio Ortega

Proceedings of the 9th International Conference on Learning Representations, 2021

Application-Agnostic Spatio-Temporal Hand Graph Representations For Stable Activity Understanding.

Pratyusha Das, Antonio Ortega, Siheng Chen, Hassan Mansour, Anthony Vetro

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Semi-Supervised 3D Hand-Object Pose Estimation Via Pose Dictionary Learning.

Zida Cheng, Siheng Chen, Ya Zhang

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Skeleton Graph Scattering Networks for 3D Skeleton-based Human Motion Prediction.

Maosen Li, Siheng Chen, Zihui Liu, Zijing Zhang, Lingxi Xie, Qi Tian, Ya Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

A Backdoor Attack against 3D Point Cloud Classifiers.

Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Divide and Conquer for Single-frame Temporal Action Localization.

Chen Ju, Peisen Zhao, Siheng Chen, Ya Zhang, Yanfeng Wang, Qi Tian

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

CaT: Weakly Supervised Object Detection with Category Transfer.

Tianyue Cao, Lianyu Du, Xiaoyun Zhang, Siheng Chen, Ya Zhang, Yanfeng Wang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks.

Takuya Fujihashi, Toshiaki Koike-Akino, Siheng Chen, Takashi Watanabe

Proceedings of the ICC 2021, 2021

Time-Varying Graph Signal Inpainting Via Unrolling Networks.

Siheng Chen, Yonina C. Eldar

Proceedings of the IEEE International Conference on Acoustics, 2021

Graph Signal Denoising Via Unrolling Networks.

Siheng Chen, Yonina C. Eldar

Proceedings of the IEEE International Conference on Acoustics, 2021

Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation.

Chenxin Xu, Siheng Chen, Maosen Li, Ya Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Joint 3D Human Shape Recovery and Pose Estimation from a Single Image with Bilayer Graph.

Xin Yu, Jeroen van Baar, Siheng Chen

Proceedings of the International Conference on 3D Vision, 2021

2020

Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering.

Siheng Chen, Chaojing Duan, Yaoqing Yang, Duanshun Li, Chen Feng, Dong Tian

IEEE Trans. Image Process., 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

Sampling and Recovery of Graph Signals based on Graph Neural Networks.

Siheng Chen, Maosen Li, Ya Zhang

CoRR, 2020

Collaborative Adversarial Learning for RelationalLearning on Multiple Bipartite Graphs.

Jingchao Su, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Chenyang Li

CoRR, 2020

Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph.

Chenyang Li, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Yanfeng Wang

CoRR, 2020

Control of connectivity and rigidity in prismatic assemblies.

Gary P. T. Choi, Siheng Chen, L. Mahadevan

CoRR, 2020

3D Point Cloud Processing and Learning for Autonomous Driving.

Siheng Chen, Baoan Liu, Chen Feng, Carlos Vallespi-Gonzalez, Carl Wellington

CoRR, 2020

Graph Cross Networks with Vertex Infomax Pooling.

Maosen Li, Siheng Chen, Ya Zhang, Ivor W. Tsang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Collaborative Localization Based on Traffic Landmarks for Autonomous Driving.

Siheng Chen, Ningxiao Zhang, Huifang Sun

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Graph-Based Array Signal Denoising for Perturbed Synthetic Aperture Radar.

Dehong Liu, Siheng Chen, Petros T. Boufounos

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Pruned Graph Scattering Transforms.

Vassilis N. Ioannidis, Siheng Chen, Georgios B. Giannakis

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

Collaborative Adversarial Learning for Relational Learning on Multiple Bipartite Graphs.

Jingchao Su, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Chenyang Li

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

Dual Graph Embedding for Object-Tag Link Prediction on the Knowledge Graph.

Chenyang Li, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Yanfeng Wang

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 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

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps.

Pengxiang Wu, Siheng Chen, Dimitris N. Metaxas

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

Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction.

Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian

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

Collaborative Motion Prediction via Neural Motion Message Passing.

Yue Hu, Siheng Chen, Ya Zhang, Xiao Gu

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

2019

Topological and statistical control of kirigami.

Siheng Chen, Gary P. T. Choi, L. Mahadevan

CoRR, 2019

Node Attribute Generation on Graphs.

Xu Chen, Siheng Chen, Huangjie Zheng, Jiangchao Yao, Kenan Cui, Ya Zhang, Ivor W. Tsang

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

Handwritten Chinese Font Generation with Collaborative Stroke Refinement.

Chuan Wen, Jie Chang, Ya Zhang, Siheng Chen, Yanfeng Wang, Mei Han, Qi Tian

CoRR, 2019

The eigen-structures of real (skew) circulant matrices with some applications.

Zhongyun Liu, Siheng Chen, Weijin Xu, Yulin Zhang

Comput. Appl. Math., 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

Proceedings of the 2019 IEEE International Conference on Image Processing, 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, Guanghui Wang, Alan Sullivan

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

3D Point Cloud Denoising via Deep Neural Network Based Local Surface Estimation.

Chaojing Duan, Siheng Chen, Jelena Kovacevic

Proceedings of the IEEE International Conference on Acoustics, 2019

Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition.

Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian

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

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

Fast Resampling of Three-Dimensional Point Clouds via Graphs.

Siheng Chen, Dong Tian, Chen Feng, Anthony Vetro, Jelena Kovacevic

IEEE Trans. Signal Process., 2018

Weighted Multi-projection: 3D Point Cloud Denoising with Estimated Tangent Planes.

Chaojing Duan, Siheng Chen, Jelena Kovacevic

CoRR, 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 Tangent Planes.

Chaojing Duan, Siheng Chen, Jelena Kovacevic

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Generalized Value Iteration Networks: Life Beyond Lattices.

Sufeng Niu, Siheng Chen, Hanyu Guo, Colin Targonski, Melissa C. Smith, Jelena Kovacevic

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

2017

Detecting Localized Categorical Attributes on Graphs.

Siheng Chen, Yaoqing Yang, Shi Zong, Aarti Singh, Jelena Kovacevic

IEEE Trans. Signal Process., 2017

Fast Resampling of 3D Point Clouds via Graphs.

Siheng Chen, Dong Tian, Chen Feng, Anthony Vetro, Jelena Kovacevic

CoRR, 2017

Fast, Warped Graph Embedding: Unifying Framework and One-Click Algorithm.

Siheng Chen, Sufeng Niu, Leman Akoglu, Jelena Kovacevic, Christos Faloutsos

CoRR, 2017

Fast path localization on graphs via multiscale Viterbi decoding.

Yaoqing Yang, Siheng Chen, Mohammad Ali Maddah-Ali, Pulkit Grover, Soummya Kar, Jelena Kovacevic

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Contour-enhanced resampling of 3D point clouds via graphs.

Siheng Chen, Dong Tian, Chen Feng, Anthony Vetro, Jelena Kovacevic

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Graph topology recovery for regular and irregular graphs.

Rohan Varma, Siheng Chen, Jelena Kovacevic

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

Data Science with Graphs: A Signal Processing Perspective.

Siheng Chen

PhD thesis, 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

Detecting Structure-correlated Attributes on Graphs.

Siheng Chen, Yaoqing Yang, Shi Zong, Aarti Singh, Jelena Kovacevic

CoRR, 2016

Signal Localization, Decomposition and Dictionary Learning on Graphs.

Siheng Chen, Yaoqing Yang, José M. F. Moura, Jelena Kovacevic

CoRR, 2016

A statistical perspective of sampling scores for linear regression.

Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic

Proceedings of the IEEE International Symposium on Information Theory, 2016

Representations of piecewise smooth signals on graphs.

Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Signal detection on graphs: Bernoulli noise model.

Siheng Chen, Yaoqing Yang, Aarti Singh, Jelena Kovacevic

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Monitoring Manhattan's traffic at 5 intersections?

Siheng Chen, Yaoqing Yang, Christos Faloutsos, Jelena Kovacevic

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015

Discrete Signal Processing on Graphs: Sampling Theory.

Siheng Chen, Rohan Varma, Aliaksei Sandryhaila, Jelena Kovacevic

IEEE Trans. Signal Process., 2015

Signal Recovery on Graphs: Variation Minimization.

Siheng Chen, Aliaksei Sandryhaila, José M. F. Moura, Jelena Kovacevic

IEEE Trans. Signal Process., 2015

Signal Representations on Graphs: Tools and Applications.

Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic

CoRR, 2015

Signal Recovery on Graphs: Random versus Experimentally Designed Sampling.

Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic

CoRR, 2015

Fast algorithm for neural network reconstruction.

Sean Bittner, Siheng Chen, Jelena Kovacevic

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Distributed algorithm for graph signal inpainting.

Siheng Chen, Aliaksei Sandryhaila, Jelena Kovacevic

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Sampling theory for graph signals.

Siheng Chen, Aliaksei Sandryhaila, Jelena Kovacevic

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Spectrum-blind signal recovery on graphs.

Rohan Varma, Siheng Chen, Jelena Kovacevic

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Energy-efficient route planning for autonomous aerial vehicles based on graph signal recovery.

Tianxi Ji, Siheng Chen, Rohan Varma, Jelena Kovacevic

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

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

Signal Recovery on Graphs.

Siheng Chen, Aliaksei Sandryhaila, José M. F. Moura, Jelena Kovacevic

CoRR, 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

Proceedings of the IEEE International Conference on Acoustics, 2014

Signal denoising on graphs via graph filtering.

Siheng Chen, Aliaksei Sandryhaila, José M. F. Moura, Jelena Kovacevic

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

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

Proceedings of the IEEE International Conference on Acoustics, 2013

Adaptive graph filtering: Multiresolution classification on graphs.

Siheng Chen, Aliaksei Sandryhaila, José M. F. Moura, Jelena Kovacevic

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013