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2020 – today
- 2024
- [j32]Chenxin Xu, Yuxi Wei, Bohan Tang, Sheng Yin, Ya Zhang, Siheng Chen, Yanfeng Wang:
Dynamic-group-aware networks for multi-agent trajectory prediction with relational reasoning. Neural Networks 170: 564-577 (2024) - [j31]Shunli Ren, Siheng Chen, Wenjun Zhang:
Collaborative Joint Perception and Prediction for Autonomous Driving. Sensors 24(19): 6263 (2024) - [j30]Shaoheng Fang, Rui Ye, Wenhao Wang, Zuhong Liu, Yuxiao Wang, Yafei Wang, Siheng Chen, Yanfeng Wang:
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units. IEEE Trans. Intell. Transp. Syst. 25(11): 18321-18337 (2024) - [j29]Shunli Ren, Zixing Lei, Zi Wang, Mehrdad Dianati, Yafei Wang, Siheng Chen, Wenjun Zhang:
Interruption-Aware Cooperative Perception for V2X Communication-Aided Autonomous Driving. IEEE Trans. Intell. Veh. 9(4): 4698-4714 (2024) - [j28]Maosen Li, Siheng Chen, Yanning Shen, Genjia Liu, Ivor W. Tsang, Ya Zhang:
Online Multi-Agent Forecasting With Interpretable Collaborative Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4768-4782 (2024) - [c92]Shaoheng Fang, Zuhong Liu, Mingyu Wang, Chenxin Xu, Yiqi Zhong, Siheng Chen:
Self-Supervised Bird's Eye View Motion Prediction with Cross-Modality Signals. AAAI 2024: 1726-1734 - [c91]Jingwei Yi, Rui Ye, Qisi Chen, Bin Zhu, Siheng Chen, Defu Lian, Guangzhong Sun, Xing Xie, Fangzhao Wu:
On the Vulnerability of Safety Alignment in Open-Access LLMs. ACL (Findings) 2024: 9236-9260 - [c90]Huan Lin, Lianghui Ding, Siheng Chen, Feng Yang, Liang Qian:
Multi-hop Diffused Graph Convolution for Resilient UAV Swarm Networks. BMSB 2024: 1-6 - [c89]Yuxi Wei, Zi Wang, Yifan Lu, Chenxin Xu, Changxing Liu, Hao Zhao, Siheng Chen, Yanfeng Wang:
Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents. CVPR 2024: 15077-15087 - [c88]Yue Hu, Juntong Peng, Sifei Liu, Junhao Ge, Si Liu, Siheng Chen:
Communication-Efficient Collaborative Perception via Information Filling with Codebook. CVPR 2024: 15481-15490 - [c87]Yifei Zhang, Hao Zhao, Hongyang Li, Siheng Chen:
FastMAC: Stochastic Spectral Sampling of Correspondence Graph. CVPR 2024: 17857-17867 - [c86]Wenhao Wang, Xiaoyu Liang, Rui Ye, Jingyi Chai, Siheng Chen, Yanfeng Wang:
KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server. EMNLP 2024: 7677-7695 - [c85]Zexi Liu, Bohan Tang, Ziyuan Ye, Xiaowen Dong, Siheng Chen, Yanfeng Wang:
Hypergraph Transformer for Semi-Supervised Classification. ICASSP 2024: 7515-7519 - [c84]Bohan Tang, Siheng Chen, Xiaowen Dong:
Hypergraph-Mlp: Learning on Hypergraphs Without Message Passing. ICASSP 2024: 13476-13480 - [c83]Yifan Lu, Yue Hu, Yiqi Zhong, Dequan Wang, Yanfeng Wang, Siheng Chen:
An Extensible Framework for Open Heterogeneous Collaborative Perception. ICLR 2024 - [c82]Rui Ye, Yaxin Du, Zhenyang Ni, Yanfeng Wang, Siheng Chen:
Fake It Till Make It: Federated Learning with Consensus-Oriented Generation. ICLR 2024 - [c81]Xianghe Pang, Shuo Tang, Rui Ye, Yuxin Xiong, Bolun Zhang, Yanfeng Wang, Siheng Chen:
Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation. ICML 2024 - [c80]Zixing Lei, Zhenyang Ni, Ruize Han, Shuo Tang, Chen Feng, Siheng Chen, Yanfeng Wang:
Robust Collaborative Perception without External Localization and Clock Devices. ICRA 2024: 7280-7286 - [c79]Rui Ye, Wenhao Wang, Jingyi Chai, Dihan Li, Zexi Li, Yinda Xu, Yaxin Du, Yanfeng Wang, Siheng Chen:
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning. KDD 2024: 6137-6147 - [c78]Yueyang Li, Siheng Chen, Guangming Lang:
Fuzzy Granular-Balls Based Spectral Clustering. IJCRS (1) 2024: 252-265 - [i119]Kexin Lv, Rui Ye, Xiaolin Huang, Jie Yang, Siheng Chen:
Learn What You Need in Personalized Federated Learning. CoRR abs/2401.08327 (2024) - [i118]Shaoheng Fang, Zuhong Liu, Mingyu Wang, Chenxin Xu, Yiqi Zhong, Siheng Chen:
Self-Supervised Bird's Eye View Motion Prediction with Cross-Modality Signals. CoRR abs/2401.11499 (2024) - [i117]Yue Hu, Xianghe Pang, Xiaoqi Qin, Yonina C. Eldar, Siheng Chen, Ping Zhang, Wenjun Zhang:
Pragmatic Communication in Multi-Agent Collaborative Perception. CoRR abs/2401.12694 (2024) - [i116]Shaoheng Fang, Rui Ye, Wenhao Wang, Zuhong Liu, Yuxiao Wang, Yafei Wang, Siheng Chen, Yanfeng Wang:
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units. CoRR abs/2401.12862 (2024) - [i115]Yifan Lu, Yue Hu, Yiqi Zhong, Dequan Wang, Siheng Chen, Yanfeng Wang:
An Extensible Framework for Open Heterogeneous Collaborative Perception. CoRR abs/2401.13964 (2024) - [i114]Bohan Tang, Zexi Liu, Keyue Jiang, Siheng Chen, Xiaowen Dong:
Hypergraph Node Classification With Graph Neural Networks. CoRR abs/2402.05569 (2024) - [i113]Xianghe Pang, Shuo Tang, Rui Ye, Yuxin Xiong, Bolun Zhang, Yanfeng Wang, Siheng Chen:
Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation. CoRR abs/2402.05699 (2024) - [i112]Yuxi Wei, Zi Wang, Yifan Lu, Chenxin Xu, Changxing Liu, Hao Zhao, Siheng Chen, Yanfeng Wang:
Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents. CoRR abs/2402.05746 (2024) - [i111]Rui Ye, Wenhao Wang, Jingyi Chai, Dihan Li, Zexi Li, Yinda Xu, Yaxin Du, Yanfeng Wang, Siheng Chen:
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning. CoRR abs/2402.06954 (2024) - [i110]Wanru Zhao, Yaxin Du, Nicholas Donald Lane, Siheng Chen, Yanfeng Wang:
Enhancing Data Quality in Federated Fine-Tuning of Foundation Models. CoRR abs/2403.04529 (2024) - [i109]Shuo Tang, Rui Ye, Chenxin Xu, Xiaowen Dong, Siheng Chen, Yanfeng Wang:
Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning. CoRR abs/2403.06535 (2024) - [i108]Yifei Zhang, Hao Zhao, Hongyang Li, Siheng Chen:
FastMAC: Stochastic Spectral Sampling of Correspondence Graph. CoRR abs/2403.08770 (2024) - [i107]Si Liu, Zihan Ding, Jiahui Fu, Hongyu Li, Siheng Chen, Shifeng Zhang, Xu Zhou:
V2X-PC: Vehicle-to-everything Collaborative Perception via Point Cluster. CoRR abs/2403.16635 (2024) - [i106]Genjia Liu, Yue Hu, Chenxin Xu, Weibo Mao, Junhao Ge, Zhengxiang Huang, Yifan Lu, Yinda Xu, Junkai Xia, Yafei Wang, Siheng Chen:
Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End System. CoRR abs/2404.09496 (2024) - [i105]Yuzhu Cai, Sheng Yin, Yuxi Wei, Chenxin Xu, Weibo Mao, Felix Juefei-Xu, Siheng Chen, Yanfeng Wang:
Ethical-Lens: Curbing Malicious Usages of Open-Source Text-to-Image Models. CoRR abs/2404.12104 (2024) - [i104]Zhenyang Ni, Rui Ye, Yuxi Wei, Zhen Xiang, Yanfeng Wang, Siheng Chen:
Physical Backdoor Attack can Jeopardize Driving with Vision-Large-Language Models. CoRR abs/2404.12916 (2024) - [i103]Zixing Lei, Zhenyang Ni, Ruize Han, Shuo Tang, Dingju Wang, Chen Feng, Siheng Chen, Yanfeng Wang:
Robust Collaborative Perception without External Localization and Clock Devices. CoRR abs/2405.02965 (2024) - [i102]Yue Hu, Juntong Peng, Sifei Liu, Junhao Ge, Si Liu, Siheng Chen:
Communication-Efficient Collaborative Perception via Information Filling with Codebook. CoRR abs/2405.04966 (2024) - [i101]Junkai Xia, Chenxin Xu, Qingyao Xu, Chen Xie, Yanfeng Wang, Siheng Chen:
Language-Driven Interactive Traffic Trajectory Generation. CoRR abs/2405.15388 (2024) - [i100]Rui Ye, Rui Ge, Xinyu Zhu, Jingyi Chai, Yaxin Du, Yang Liu, Yanfeng Wang, Siheng Chen:
FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models. CoRR abs/2406.04845 (2024) - [i99]Peizhi Niu, Chao Pan, Siheng Chen, Olgica Milenkovic:
Graph Transductive Defense: a Two-Stage Defense for Graph Membership Inference Attacks. CoRR abs/2406.07917 (2024) - [i98]Rui Ye, Jingyi Chai, Xiangrui Liu, Yaodong Yang, Yanfeng Wang, Siheng Chen:
Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models. CoRR abs/2406.10630 (2024) - [i97]Zhenyang Ni, Zixing Lei, Yifan Lu, Dingju Wang, Chen Feng, Yanfeng Wang, Siheng Chen:
Self-Localized Collaborative Perception. CoRR abs/2406.12712 (2024) - [i96]Rui Ye, Rui Ge, Yuchi Fengting, Jingyi Chai, Yanfeng Wang, Siheng Chen:
Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Models. CoRR abs/2409.07136 (2024) - [i95]Zezhou Wang, Yaxin Du, Zhuzhong Qian, Siheng Chen:
Federated Instruction Tuning of LLMs with Domain Coverage Augmentation. CoRR abs/2409.20135 (2024) - [i94]Wenhao Wang, Xiaoyu Liang, Rui Ye, Jingyi Chai, Siheng Chen, Yanfeng Wang:
KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server. CoRR abs/2410.05725 (2024) - 2023
- [j27]Qi Yang, Yujie Zhang, Siheng Chen, Yiling Xu, Jun Sun, Zhan Ma:
MPED: Quantifying Point Cloud Distortion Based on Multiscale Potential Energy Discrepancy. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6037-6054 (2023) - [j26]Bohan Tang, Yiqi Zhong, Chenxin Xu, Wei-Tao Wu, Ulrich Neumann, Ya Zhang, Siheng Chen, Yanfeng Wang:
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13297-13313 (2023) - [j25]Yue Hu, Shaoheng Fang, Weidi Xie, Siheng Chen:
Aerial Monocular 3D Object Detection. IEEE Robotics Autom. Lett. 8(4): 1959-1966 (2023) - [j24]Zenan Huang, Jun Wen, Siheng Chen, Linchao Zhu, Nenggan Zheng:
Discriminative Radial Domain Adaptation. IEEE Trans. Image Process. 32: 1419-1431 (2023) - [j23]Ming Jin, Yu Zheng, Yuan-Fang Li, Siheng Chen, Bin Yang, Shirui Pan:
Multivariate Time Series Forecasting With Dynamic Graph Neural ODEs. IEEE Trans. Knowl. Data Eng. 35(9): 9168-9180 (2023) - [j22]Chen Ju, Peisen Zhao, Siheng Chen, Ya Zhang, Xiaoyun Zhang, Yanfeng Wang, Qi Tian:
Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization. IEEE Trans. Multim. 25: 6688-6701 (2023) - [j21]Rui Ye, Zhenyang Ni, Chenxin Xu, Jianyu Wang, Siheng Chen, Yonina C. Eldar:
FedFM: Anchor-Based Feature Matching for Data Heterogeneity in Federated Learning. IEEE Trans. Signal Process. 71: 4224-4239 (2023) - [c77]Shaoheng Fang, Zi Wang, Yiqi Zhong, Junhao Ge, Siheng Chen:
TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving. CVPR 2023: 1368-1378 - [c76]Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Yu Guang Wang, Xinchao Wang, Yanfeng Wang:
EqMotion: Equivariant Multi-Agent Motion Prediction with Invariant Interaction Reasoning. CVPR 2023: 1410-1420 - [c75]Weibo Mao, Chenxin Xu, Qi Zhu, Siheng Chen, Yanfeng Wang:
Leapfrog Diffusion Model for Stochastic Trajectory Prediction. CVPR 2023: 5517-5526 - [c74]Yue Hu, Yifan Lu, Runsheng Xu, Weidi Xie, Siheng Chen, Yanfeng Wang:
Collaboration Helps Camera Overtake LiDAR in 3D Detection. CVPR 2023: 9243-9252 - [c73]Bohan Tang, Siheng Chen, Xiaowen Dong:
Learning Hypergraphs From Signals With Dual Smoothness Prior. ICASSP 2023: 1-5 - [c72]Yiming Li, Qi Fang, Jiamu Bai, Siheng Chen, Felix Juefei-Xu, Chen Feng:
Among Us: Adversarially Robust Collaborative Perception by Consensus. ICCV 2023: 186-195 - [c71]Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Xinchao Wang, Yanfeng Wang:
Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction. ICCV 2023: 9475-9486 - [c70]Qingyao Xu, Weibo Mao, Jingze Gong, Chenxin Xu, Siheng Chen, Weidi Xie, Ya Zhang, Yanfeng Wang:
Joint-Relation Transformer for Multi-Person Motion Prediction. ICCV 2023: 9782-9792 - [c69]Yuxi Wei, Juntong Peng, Tong He, Chenxin Xu, Jian Zhang, Shirui Pan, Siheng Chen:
Compatible Transformer for Irregularly Sampled Multivariate Time Series. ICDM 2023: 1409-1414 - [c68]Rui Ye, Zhenyang Ni, Fangzhao Wu, Siheng Chen, Yanfeng Wang:
Personalized Federated Learning with Inferred Collaboration Graphs. ICML 2023: 39801-39817 - [c67]Rui Ye, Mingkai Xu, Jianyu Wang, Chenxin Xu, Siheng Chen, Yanfeng Wang:
FedDisco: Federated Learning with Discrepancy-Aware Collaboration. ICML 2023: 39879-39902 - [c66]Yifan Lu, Quanhao Li, Baoan Liu, Mehrdad Dianati, Chen Feng, Siheng Chen, Yanfeng Wang:
Robust Collaborative 3D Object Detection in Presence of Pose Errors. ICRA 2023: 4812-4818 - [c65]Zixing Lei, Yiming Zhang, Yuxin Xiong, Siheng Chen:
Emergent Communication in Interactive Sketch Question Answering. NeurIPS 2023 - [c64]Sizhe Wei, Yuxi Wei, Yue Hu, Yifan Lu, Yiqi Zhong, Siheng Chen, Ya Zhang:
Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow. NeurIPS 2023 - [i93]Zenan Huang, Jun Wen, Siheng Chen, Linchao Zhu, Nenggan Zheng:
Discriminative Radial Domain Adaptation. CoRR abs/2301.00383 (2023) - [i92]Yiming Li, Qi Fang, Jiamu Bai, Siheng Chen, Felix Juefei-Xu, Chen Feng:
Among Us: Adversarially Robust Collaborative Perception by Consensus. CoRR abs/2303.09495 (2023) - [i91]Shaoheng Fang, Zi Wang, Yiqi Zhong, Junhao Ge, Siheng Chen, Yanfeng Wang:
TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving. CoRR abs/2303.09998 (2023) - [i90]Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Yu Guang Wang, Xinchao Wang, Yanfeng Wang:
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning. CoRR abs/2303.10876 (2023) - [i89]Weibo Mao, Chenxin Xu, Qi Zhu, Siheng Chen, Yanfeng Wang:
Leapfrog Diffusion Model for Stochastic Trajectory Prediction. CoRR abs/2303.10895 (2023) - [i88]Yue Hu, Yifan Lu, Runsheng Xu, Weidi Xie, Siheng Chen, Yanfeng Wang:
Collaboration Helps Camera Overtake LiDAR in 3D Detection. CoRR abs/2303.13560 (2023) - [i87]Shunli Ren, Zixing Lei, Zi Wang, Mehrdad Dianati, Yafei Wang, Siheng Chen, Wenjun Zhang:
Interruption-Aware Cooperative Perception for V2X Communication-Aided Autonomous Driving. CoRR abs/2304.11821 (2023) - [i86]Rui Ye, Mingkai Xu, Jianyu Wang, Chenxin Xu, Siheng Chen, Yanfeng Wang:
FedDisco: Federated Learning with Discrepancy-Aware Collaboration. CoRR abs/2305.19229 (2023) - [i85]Qingyao Xu, Weibo Mao, Jingze Gong, Chenxin Xu, Siheng Chen, Weidi Xie, Ya Zhang, Yanfeng Wang:
Joint-Relation Transformer for Multi-Person Motion Prediction. CoRR abs/2308.04808 (2023) - [i84]Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Xinchao Wang, Yanfeng Wang:
Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction. CoRR abs/2308.08942 (2023) - [i83]Bohan Tang, Siheng Chen, Xiaowen Dong:
Hypergraph Structure Inference From Data Under Smoothness Prior. CoRR abs/2308.14172 (2023) - [i82]Sizhe Wei, Yuxi Wei, Yue Hu, Yifan Lu, Yiqi Zhong, Siheng Chen, Ya Zhang:
Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow. CoRR abs/2309.16940 (2023) - [i81]Yuxi Wei, Juntong Peng, Tong He, Chenxin Xu, Jian Zhang, Shirui Pan, Siheng Chen:
Compatible Transformer for Irregularly Sampled Multivariate Time Series. CoRR abs/2310.11022 (2023) - [i80]Yangheng Zhao, Zhen Xiang, Sheng Yin, Xianghe Pang, Siheng Chen, Yanfeng Wang:
Malicious Agent Detection for Robust Multi-Agent Collaborative Perception. CoRR abs/2310.11901 (2023) - [i79]Zixing Lei, Yiming Zhang, Yuxin Xiong, Siheng Chen:
Emergent Communication in Interactive Sketch Question Answering. CoRR abs/2310.15597 (2023) - [i78]Rui Ye, Xinyu Zhu, Jingyi Chai, Siheng Chen, Yanfeng Wang:
Federated Learning Empowered by Generative Content. CoRR abs/2312.05807 (2023) - [i77]Rui Ye, Yaxin Du, Zhenyang Ni, Siheng Chen, Yanfeng Wang:
Fake It Till Make It: Federated Learning with Consensus-Oriented Generation. CoRR abs/2312.05966 (2023) - [i76]Bohan Tang, Siheng Chen, Xiaowen Dong:
Hypergraph-MLP: Learning on Hypergraphs without Message Passing. CoRR abs/2312.09778 (2023) - [i75]Zexi Liu, Bohan Tang, Ziyuan Ye, Xiaowen Dong, Siheng Chen, Yanfeng Wang:
Hypergraph Transformer for Semi-Supervised Classification. CoRR abs/2312.11385 (2023) - 2022
- [j20]Jiachen Li, Siheng Chen, Xiaoyong Pan, Ye Yuan, Hong-Bin Shen:
Cell clustering for spatial transcriptomics data with graph neural networks. Nat. Comput. Sci. 2(6): 399-408 (2022) - [j19]Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W. Tsang:
Learning on Attribute-Missing Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 740-757 (2022) - [j18]Vassilis N. Ioannidis, Siheng Chen, Georgios B. Giannakis:
Efficient and Stable Graph Scattering Transforms via Pruning. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1232-1246 (2022) - [j17]Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian:
Symbiotic Graph Neural Networks for 3D Skeleton-Based Human Action Recognition and Motion Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3316-3333 (2022) - [j16]Yiming Li, Dekun Ma, Ziyan An, Zixun Wang, Yiqi Zhong, Siheng Chen, Chen Feng:
V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving. IEEE Robotics Autom. Lett. 7(4): 10914-10921 (2022) - [j15]Jinxiang Liu, Yangheng Zhao, Siheng Chen, Ya Zhang:
A 3D Mesh-Based Lifting-and-Projection Network for Human Pose Transfer. IEEE Trans. Multim. 24: 4314-4327 (2022) - [j14]Tianxi Ji, Changqing Luo, Lixing Yu, Qianlong Wang, Siheng Chen, Arun Thapa, Pan Li:
Energy-Efficient Computation Offloading in Mobile Edge Computing Systems With Uncertainties. IEEE Trans. Wirel. Commun. 21(8): 5717-5729 (2022) - [c63]Yangyi Dong, Xiaoyun Zhang, Zhixin Wang, Ya Zhang, Siheng Chen, Yanfeng Wang:
Unpaired Face Restoration via Learnable Cross-Quality Shift. CVPR Workshops 2022: 666-674 - [c62]Jun Wang, Xiaolong Li, Alan Sullivan, A. Lynn Abbott, Siheng Chen:
PointMotionNet: Point-Wise Motion Learning for Large-Scale LiDAR Point Clouds Sequences. CVPR Workshops 2022: 4418-4427 - [c61]Yixuan Huang, Xiaoyun Zhang, Yu Fu, Siheng Chen, Ya Zhang, Yanfeng Wang, Dazhi He:
Task Decoupled Framework for Reference-based Super-Resolution. CVPR 2022: 5921-5930 - [c60]Chenxin Xu, Weibo Mao, Wenjun Zhang, Siheng Chen:
Remember Intentions: Retrospective-Memory-based Trajectory Prediction. CVPR 2022: 6478-6487 - [c59]Chenxin Xu, Maosen Li, Zhenyang Ni, Ya Zhang, Siheng Chen:
GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning. CVPR 2022: 6488-6497 - [c58]Qi Yang, Yipeng Liu, Siheng Chen, Yiling Xu, Jun Sun:
No-Reference Point Cloud Quality Assessment via Domain Adaptation. CVPR 2022: 21147-21156 - [c57]Maosen Li, Siheng Chen, Zijing Zhang, Lingxi Xie, Qi Tian, Ya Zhang:
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction. ECCV (6) 2022: 18-36 - [c56]Zixing Lei, Shunli Ren, Yue Hu, Wenjun Zhang, Siheng Chen:
Latency-Aware Collaborative Perception. ECCV (32) 2022: 316-332 - [c55]Yiqi Zhong, Zhenyang Ni, Siheng Chen, Ulrich Neumann:
Aware of the History: Trajectory Forecasting with the Local Behavior Data. ECCV (22) 2022: 393-409 - [c54]Yangheng Zhao, Jun Wang, Xiaolong Li, Yue Hu, Ce Zhang, Yanfeng Wang, Siheng Chen:
Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation. ECCV Workshops (3) 2022: 695-703 - [c53]Genjia Liu, Maosen Li, Siheng Chen:
Multiscale Graph Scattering Transform. EUSIPCO 2022: 812-816 - [c52]Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis:
Detecting Backdoor Attacks against Point Cloud Classifiers. ICASSP 2022: 3159-3163 - [c51]Zida Cheng, Siheng Chen, Ya Zhang:
Spatio-Temporal Graph Complementary Scattering Networks. ICASSP 2022: 5573-5577 - [c50]Tongyi Luo, Jia Xiao, Chuncao Zhang, Siheng Chen, Yuan Tian, Guangjun Yu, Kang Dang, Xiaowei Ding:
Weakly Supervised Online Action Detection for Infant General Movements. MICCAI (2) 2022: 721-731 - [c49]Yue Hu, Shaoheng Fang, Zixing Lei, Yiqi Zhong, Siheng Chen:
Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps. NeurIPS 2022 - [i74]Tianxi Ji, Changqing Luo, Lixing Yu, Qianlong Wang, Siheng Chen, Arun Thapa, Pan Li:
Energy-Efficient Computation Offloading in MobileEdge Computing Systems with Uncertainties. CoRR abs/2201.10398 (2022) - [i73]Siheng Chen, Fabio Giardina, Gary P. T. Choi, L. Mahadevan:
Modular representation and control of floppy networks. CoRR abs/2202.03150 (2022) - [i72]Ming Jin, Yu Zheng, Yuan-Fang Li, Siheng Chen, Bin Yang, Shirui Pan:
Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs. CoRR abs/2202.08408 (2022) - [i71]Yiming Li, Ziyan An, Zixun Wang, Yiqi Zhong, Siheng Chen, Chen Feng:
V2X-Sim: A Virtual Collaborative Perception Dataset for Autonomous Driving. CoRR abs/2202.08449 (2022) - [i70]Chenxin Xu, Weibo Mao, Wenjun Zhang, Siheng Chen:
Remember Intentions: Retrospective-Memory-based Trajectory Prediction. CoRR abs/2203.11474 (2022) - [i69]Chenxin Xu, Maosen Li, Zhenyang Ni, Ya Zhang, Siheng Chen:
GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning. CoRR abs/2204.08770 (2022) - [i68]Mingxing Xu, Chenglin Li, Wenrui Dai, Siheng Chen, Junni Zou, Pascal Frossard, Hongkai Xiong:
Hierarchical Spherical CNNs with Lifting-based Adaptive Wavelets for Pooling and Unpooling. CoRR abs/2205.15571 (2022) - [i67]Chenxin Xu, Yuxi Wei, Bohan Tang, Sheng Yin, Ya Zhang, Siheng Chen:
Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational Reasoning. CoRR abs/2206.13114 (2022) - [i66]Bohan Tang, Yiqi Zhong, Chenxin Xu, Wei-Tao Wu, Ulrich Neumann, Yanfeng Wang, Ya Zhang, Siheng Chen:
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting. CoRR abs/2207.05195 (2022) - [i65]Zixing Lei, Shunli Ren, Yue Hu, Wenjun Zhang, Siheng Chen:
Latency-Aware Collaborative Perception. CoRR abs/2207.08560 (2022) - [i64]Yiqi Zhong, Zhenyang Ni, Siheng Chen, Ulrich Neumann:
Aware of the History: Trajectory Forecasting with the Local Behavior Data. CoRR abs/2207.09646 (2022) - [i63]Maosen Li, Siheng Chen, Zijing Zhang, Lingxi Xie, Qi Tian, Ya Zhang:
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction. CoRR abs/2208.00368 (2022) - [i62]Tongyi Luo, Jia Xiao, Chuncao Zhang, Siheng Chen, Yuan Tian, Guangjun Yu, Kang Dang, Xiaowei Ding:
Weakly Supervised Online Action Detection for Infant General Movements. CoRR abs/2208.03648 (2022) - [i61]Yue Hu, Shaoheng Fang, Weidi Xie, Siheng Chen:
Aerial Monocular 3D Object Detection. CoRR abs/2208.03974 (2022) - [i60]Yue Hu, Siheng Chen, Xu Chen, Ya Zhang, Xiao Gu:
Neural Message Passing for Visual Relationship Detection. CoRR abs/2208.04165 (2022) - [i59]Shunli Ren, Siheng Chen, Wenjun Zhang:
Collaborative Perception for Autonomous Driving: Current Status and Future Trend. CoRR abs/2208.10371 (2022) - [i58]Yue Hu, Shaoheng Fang, Zixing Lei, Yiqi Zhong, Siheng Chen:
Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps. CoRR abs/2209.12836 (2022) - [i57]Rui Ye, Zhenyang Ni, Chenxin Xu, Jianyu Wang, Siheng Chen, Yonina C. Eldar:
FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning. CoRR abs/2210.07615 (2022) - [i56]Yangheng Zhao, Jun Wang, Xiaolong Li, Yue Hu, Ce Zhang, Yanfeng Wang, Siheng Chen:
Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation. CoRR abs/2210.09948 (2022) - [i55]Enpei Zhang, Shuo Tang, Xiaowen Dong, Siheng Chen, Yanfeng Wang:
Unrolled Graph Learning for Multi-Agent Collaboration. CoRR abs/2210.17101 (2022) - [i54]Bohan Tang, Siheng Chen, Xiaowen Dong:
Learning Hypergraphs From Signals With Dual Smoothness Prior. CoRR abs/2211.01717 (2022) - [i53]Yifan Lu, Quanhao Li, Baoan Liu, Mehrdad Dianati, Chen Feng, Siheng Chen, Yanfeng Wang:
Robust Collaborative 3D Object Detection in Presence of Pose Errors. CoRR abs/2211.07214 (2022) - 2021
- [j13]Siheng Chen, Baoan Liu, Chen Feng, Carlos Vallespi-Gonzalez, Carl Wellington:
3D Point Cloud Processing and Learning for Autonomous Driving: Impacting Map Creation, Localization, and Perception. IEEE Signal Process. Mag. 38(1): 68-86 (2021) - [j12]Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian:
Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction. IEEE Trans. Image Process. 30: 7760-7775 (2021) - [j11]Siheng Chen, Yonina C. Eldar, Lingxiao Zhao:
Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising. IEEE Trans. Signal Process. 69: 3699-3713 (2021) - [c48]Xin Yu, Jeroen van Baar, Siheng Chen:
Joint 3D Human Shape Recovery and Pose Estimation from a Single Image with Bilayer Graph. 3DV 2021: 505-514 - [c47]Chenxin Xu, Siheng Chen, Maosen Li, Ya Zhang:
Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation. AAAI 2021: 3013-3021 - [c46]Siheng Chen, Yonina C. Eldar:
Graph Signal Denoising Via Unrolling Networks. ICASSP 2021: 5290-5294 - [c45]Siheng Chen, Yonina C. Eldar:
Time-Varying Graph Signal Inpainting Via Unrolling Networks. ICASSP 2021: 8092-8097 - [c44]Takuya Fujihashi, Toshiaki Koike-Akino, Siheng Chen, Takashi Watanabe:
Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks. ICC 2021: 1-6 - [c43]Tianyue Cao, Lianyu Du, Xiaoyun Zhang, Siheng Chen, Ya Zhang, Yanfeng Wang:
CaT: Weakly Supervised Object Detection with Category Transfer. ICCV 2021: 3050-3059 - [c42]Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis:
A Backdoor Attack against 3D Point Cloud Classifiers. ICCV 2021: 7577-7587 - [c41]Chen Ju, Peisen Zhao, Siheng Chen, Ya Zhang, Yanfeng Wang, Qi Tian:
Divide and Conquer for Single-frame Temporal Action Localization. ICCV 2021: 13435-13444 - [c40]Maosen Li, Siheng Chen, Zihui Liu, Zijing Zhang, Lingxi Xie, Qi Tian, Ya Zhang:
Skeleton Graph Scattering Networks for 3D Skeleton-based Human Motion Prediction. ICCVW 2021: 854-864 - [c39]Pratyusha Das, Antonio Ortega, Siheng Chen, Hassan Mansour, Anthony Vetro:
Application-Agnostic Spatio-Temporal Hand Graph Representations For Stable Activity Understanding. ICIP 2021: 1074-1078 - [c38]Zida Cheng, Siheng Chen, Ya Zhang:
Semi-Supervised 3D Hand-Object Pose Estimation Via Pose Dictionary Learning. ICIP 2021: 3632-3636 - [c37]Chao Pan, Siheng Chen, Antonio Ortega:
Spatio-Temporal Graph Scattering Transform. ICLR 2021 - [c36]Xingyue Pu, Tianyue Cao, Xiaoyun Zhang, Xiaowen Dong, Siheng Chen:
Learning to Learn Graph Topologies. NeurIPS 2021: 4249-4262 - [c35]Bohan Tang, Yiqi Zhong, Ulrich Neumann, Gang Wang, Siheng Chen, Ya Zhang:
Collaborative Uncertainty in Multi-Agent Trajectory Forecasting. NeurIPS 2021: 6328-6340 - [c34]Yiming Li, Shunli Ren, Pengxiang Wu, Siheng Chen, Chen Feng, Wenjun Zhang:
Learning Distilled Collaboration Graph for Multi-Agent Perception. NeurIPS 2021: 29541-29552 - [c33]Chuan Wen, Yujie Pan, Jie Chang, Ya Zhang, Siheng Chen, Yanfeng Wang, Mei Han, Qi Tian:
Handwritten Chinese Font Generation with Collaborative Stroke Refinement. WACV 2021: 3881-3890 - [i52]Qi Yang, Siheng Chen, Yiling Xu, Jun Sun, M. Salman Asif, Zhan Ma:
Point Cloud Distortion Quantification based on Potential Energy for Human and Machine Perception. CoRR abs/2103.02850 (2021) - [i51]Chen Ju, Peisen Zhao, Siheng Chen, Ya Zhang, Xiaoyun Zhang, Qi Tian:
Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization. CoRR abs/2104.02357 (2021) - [i50]Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis:
A Backdoor Attack against 3D Point Cloud Classifiers. CoRR abs/2104.05808 (2021) - [i49]Maosen Li, Siheng Chen, Yanning Shen, Genjia Liu, Ivor W. Tsang, Ya Zhang:
Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network. CoRR abs/2107.00894 (2021) - [i48]Zida Cheng, Siheng Chen, Ya Zhang:
Semi-supervised 3D Hand-Object Pose Estimation via Pose Dictionary Learning. CoRR abs/2107.07676 (2021) - [i47]Tianyue Cao, Lianyu Du, Xiaoyun Zhang, Siheng Chen, Ya Zhang, Yanfeng Wang:
CaT: Weakly Supervised Object Detection with Category Transfer. CoRR abs/2108.07487 (2021) - [i46]Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian:
Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction. CoRR abs/2108.11244 (2021) - [i45]Jinxiang Liu, Yangheng Zhao, Siheng Chen, Ya Zhang:
A 3D Mesh-based Lifting-and-Projection Network for Human Pose Transfer. CoRR abs/2109.11719 (2021) - [i44]Xin Yu, Jeroen van Baar, Siheng Chen:
Joint 3D Human Shape Recovery from A Single Imag with Bilayer-Graph. CoRR abs/2110.08472 (2021) - [i43]Xingyue Pu, Tianyue Cao, Xiaoyun Zhang, Xiaowen Dong, Siheng Chen:
Learning to Learn Graph Topologies. CoRR abs/2110.09807 (2021) - [i42]Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis:
Detecting Backdoor Attacks Against Point Cloud Classifiers. CoRR abs/2110.10354 (2021) - [i41]Zida Cheng, Siheng Chen, Ya Zhang:
Spatio-Temporal Graph Complementary Scattering Networks. CoRR abs/2110.12150 (2021) - [i40]Bohan Tang, Yiqi Zhong, Ulrich Neumann, Gang Wang, Ya Zhang, Siheng Chen:
Collaborative Uncertainty in Multi-Agent Trajectory Forecasting. CoRR abs/2110.13947 (2021) - [i39]Jian Du, Song Li, Fengran Mo, Siheng Chen:
Dynamic Differential-Privacy Preserving SGD. CoRR abs/2111.00173 (2021) - [i38]Yiming Li, Shunli Ren, Pengxiang Wu, Siheng Chen, Chen Feng, Wenjun Zhang:
Learning Distilled Collaboration Graph for Multi-Agent Perception. CoRR abs/2111.00643 (2021) - [i37]Qi Yang, Yipeng Liu, Siheng Chen, Yiling Xu, Jun Sun:
No-Reference Point Cloud Quality Assessment via Domain Adaptation. CoRR abs/2112.02851 (2021) - 2020
- [j10]Huaixin Liang, Xin Yang, Shaoxiong Li, Siheng Chen, Xiaoqing Zhang:
Application research on quantitative prediction of TCM syndrome differentiation based on ensemble learning. Int. J. Comput. Appl. Technol. 64(1): 46-56 (2020) - [j9]Siheng Chen, Chaojing Duan, Yaoqing Yang, Duanshun Li, Chen Feng, Dong Tian:
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering. IEEE Trans. Image Process. 29: 3183-3198 (2020) - [c32]Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian:
Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction. CVPR 2020: 211-220 - [c31]Yue Hu, Siheng Chen, Ya Zhang, Xiao Gu:
Collaborative Motion Prediction via Neural Motion Message Passing. CVPR 2020: 6318-6327 - [c30]Pengxiang Wu, Siheng Chen, Dimitris N. Metaxas:
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps. CVPR 2020: 11382-11392 - [c29]Jingxiao Liu, Bingqing Chen, Siheng Chen, Mario Bergés, Jacobo Bielak, Hae Young Noh:
Damage-Sensitive and Domain-Invariant Feature Extraction for Vehicle-Vibration-Based Bridge Health Monitoring. ICASSP 2020: 3007-3011 - [c28]Chenyang Li, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Yanfeng Wang:
Dual Graph Embedding for Object-Tag Link Prediction on the Knowledge Graph. ICKG 2020: 283-290 - [c27]Jingchao Su, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Chenyang Li:
Collaborative Adversarial Learning for Relational Learning on Multiple Bipartite Graphs. ICKG 2020: 466-473 - [c26]Vassilis N. Ioannidis, Siheng Chen, Georgios B. Giannakis:
Pruned Graph Scattering Transforms. ICLR 2020 - [c25]Dehong Liu, Siheng Chen, Petros T. Boufounos:
Graph-Based Array Signal Denoising for Perturbed Synthetic Aperture Radar. IGARSS 2020: 1881-1884 - [c24]Siheng Chen, Ningxiao Zhang, Huifang Sun:
Collaborative Localization Based on Traffic Landmarks for Autonomous Driving. ISCAS 2020: 1-5 - [c23]Maosen Li, Siheng Chen, Ya Zhang, Ivor W. Tsang:
Graph Cross Networks with Vertex Infomax Pooling. NeurIPS 2020 - [i36]Vassilis N. Ioannidis, Siheng Chen, Georgios B. Giannakis:
Efficient and Stable Graph Scattering Transforms via Pruning. CoRR abs/2001.09882 (2020) - [i35]Jingxiao Liu, Bingqing Chen, Siheng Chen, Mario Berges, Jacobo Bielak, Hae Young Noh:
Damage-sensitive and domain-invariant feature extraction for vehicle-vibration-based bridge health monitoring. CoRR abs/2002.02105 (2020) - [i34]Siheng Chen, Baoan Liu, Chen Feng, Carlos Vallespi-Gonzalez, Carl Wellington:
3D Point Cloud Processing and Learning for Autonomous Driving. CoRR abs/2003.00601 (2020) - [i33]Yue Hu, Siheng Chen, Ya Zhang, Xiao Gu:
Collaborative Motion Prediction via Neural Motion Message Passing. CoRR abs/2003.06594 (2020) - [i32]Pengxiang Wu, Siheng Chen, Dimitris N. Metaxas:
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps. CoRR abs/2003.06754 (2020) - [i31]Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian:
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction. CoRR abs/2003.08802 (2020) - [i30]Gary P. T. Choi, Siheng Chen, L. Mahadevan:
Control of connectivity and rigidity in prismatic assemblies. CoRR abs/2005.05845 (2020) - [i29]Siheng Chen, Yonina C. Eldar, Lingxiao Zhao:
Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising. CoRR abs/2006.01301 (2020) - [i28]Takuya Fujihashi, Toshiaki Koike-Akino, Siheng Chen, Takashi Watanabe:
Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks. CoRR abs/2006.09835 (2020) - [i27]Chenyang Li, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Yanfeng Wang:
Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph. CoRR abs/2007.08304 (2020) - [i26]Jingchao Su, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Chenyang Li:
Collaborative Adversarial Learning for RelationalLearning on Multiple Bipartite Graphs. CoRR abs/2007.08308 (2020) - [i25]Maosen Li, Siheng Chen, Ya Zhang, Ivor W. Tsang:
Graph Cross Networks with Vertex Infomax Pooling. CoRR abs/2010.01804 (2020) - [i24]Siheng Chen, Maosen Li, Ya Zhang:
Sampling and Recovery of Graph Signals based on Graph Neural Networks. CoRR abs/2011.01412 (2020) - [i23]Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W. Tsang:
Learning on Attribute-Missing Graphs. CoRR abs/2011.01623 (2020) - [i22]Chao Pan, Siheng Chen, Antonio Ortega:
Spatio-Temporal Graph Scattering Transform. CoRR abs/2012.03363 (2020) - [i21]Chenxin Xu, Siheng Chen, Maosen Li, Ya Zhang:
Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation. CoRR abs/2012.09398 (2020)
2010 – 2019
- 2019
- [j8]Zhongyun Liu, Siheng Chen, Weijin Xu, Yulin Zhang:
The eigen-structures of real (skew) circulant matrices with some applications. Comput. Appl. Math. 38(4) (2019) - [c22]Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian:
Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition. CVPR 2019: 3595-3603 - [c21]Chaojing Duan, Siheng Chen, Jelena Kovacevic:
3D Point Cloud Denoising via Deep Neural Network Based Local Surface Estimation. ICASSP 2019: 8553-8557 - [c20]Yuanwei Wu, Tim K. Marks, Anoop Cherian, Siheng Chen, Chen Feng, Guanghui Wang, Alan Sullivan:
Unsupervised Joint 3D Object Model Learning and 6D Pose Estimation for Depth-Based Instance Segmentation. ICCV Workshops 2019: 2777-2786 - [c19]Siheng Chen, Sufeng Niu, Tian Lan, Baoan Liu:
PCT: Large-Scale 3d Point Cloud Representations Via Graph Inception Networks with Applications to Autonomous Driving. ICIP 2019: 4395-4399 - [i20]Chaojing Duan, Siheng Chen, Jelena Kovacevic:
3D Point Cloud Denoising via Deep Neural Network based Local Surface Estimation. CoRR abs/1904.04427 (2019) - [i19]Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian:
Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition. CoRR abs/1904.12659 (2019) - [i18]Chuan Wen, Jie Chang, Ya Zhang, Siheng Chen, Yanfeng Wang, Mei Han, Qi Tian:
Handwritten Chinese Font Generation with Collaborative Stroke Refinement. CoRR abs/1904.13268 (2019) - [i17]Siheng Chen, Chaojing Duan, Yaoqing Yang, Duanshun Li, Chen Feng, Dong Tian:
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering. CoRR abs/1905.04571 (2019) - [i16]Siheng Chen, Sufeng Niu, Tian Lan, Baoan Liu:
Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving. CoRR abs/1906.11359 (2019) - [i15]Xu Chen, Siheng Chen, Huangjie Zheng, Jiangchao Yao, Kenan Cui, Ya Zhang, Ivor W. Tsang:
Node Attribute Generation on Graphs. CoRR abs/1907.09708 (2019) - [i14]Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian:
Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction. CoRR abs/1910.02212 (2019) - [i13]Siheng Chen, Gary P. T. Choi, L. Mahadevan:
Topological and statistical control of kirigami. CoRR abs/1910.07090 (2019) - 2018
- [j7]Siheng Chen, Dong Tian, Chen Feng, Anthony Vetro, Jelena Kovacevic:
Fast Resampling of Three-Dimensional Point Clouds via Graphs. IEEE Trans. Signal Process. 66(3): 666-681 (2018) - [j6]Yaoqing Yang, Siheng Chen, Mohammad Ali Maddah-Ali, Pulkit Grover, Soummya Kar, Jelena Kovacevic:
Fast Temporal Path Localization on Graphs via Multiscale Viterbi Decoding. IEEE Trans. Signal Process. 66(21): 5588-5603 (2018) - [c18]Sufeng Niu, Siheng Chen, Hanyu Guo, Colin Targonski, Melissa C. Smith, Jelena Kovacevic:
Generalized Value Iteration Networks: Life Beyond Lattices. AAAI 2018: 6246-6253 - [c17]Chaojing Duan, Siheng Chen, Jelena Kovacevic:
Weighted Multi-Projection: 3D Point Cloud Denoising with Tangent Planes. GlobalSIP 2018: 725-729 - [i12]Siheng Chen, Aarti Singh, Jelena Kovacevic:
Multiresolution Representations for Piecewise-Smooth Signals on Graphs. CoRR abs/1803.02944 (2018) - [i11]Chaojing Duan, Siheng Chen, Jelena Kovacevic:
Weighted Multi-projection: 3D Point Cloud Denoising with Estimated Tangent Planes. CoRR abs/1807.00253 (2018) - 2017
- [j5]Siheng Chen, Yaoqing Yang, Shi Zong, Aarti Singh, Jelena Kovacevic:
Detecting Localized Categorical Attributes on Graphs. IEEE Trans. Signal Process. 65(10): 2725-2740 (2017) - [c16]Rohan Varma, Siheng Chen, Jelena Kovacevic:
Graph topology recovery for regular and irregular graphs. CAMSAP 2017: 1-5 - [c15]Siheng Chen, Dong Tian, Chen Feng, Anthony Vetro, Jelena Kovacevic:
Contour-enhanced resampling of 3D point clouds via graphs. ICASSP 2017: 2941-2945 - [c14]Yaoqing Yang, Siheng Chen, Mohammad Ali Maddah-Ali, Pulkit Grover, Soummya Kar, Jelena Kovacevic:
Fast path localization on graphs via multiscale Viterbi decoding. ICASSP 2017: 4114-4118 - [i10]Siheng Chen, Sufeng Niu, Leman Akoglu, Jelena Kovacevic, Christos Faloutsos:
Fast, Warped Graph Embedding: Unifying Framework and One-Click Algorithm. CoRR abs/1702.05764 (2017) - [i9]Siheng Chen, Dong Tian, Chen Feng, Anthony Vetro, Jelena Kovacevic:
Fast Resampling of 3D Point Clouds via Graphs. CoRR abs/1702.06397 (2017) - [i8]Sufeng Niu, Siheng Chen, Hanyu Guo, Colin Targonski, Melissa C. Smith, Jelena Kovacevic:
Generalized Value Iteration Networks: Life Beyond Lattices. CoRR abs/1706.02416 (2017) - 2016
- [b1]Siheng Chen:
Data Science with Graphs: A Signal Processing Perspective. Carnegie Mellon University, USA, 2016 - [j4]Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic:
Signal Recovery on Graphs: Fundamental Limits of Sampling Strategies. IEEE Trans. Signal Inf. Process. over Networks 2(4): 539-554 (2016) - [c13]Siheng Chen, Yaoqing Yang, Aarti Singh, Jelena Kovacevic:
Signal detection on graphs: Bernoulli noise model. GlobalSIP 2016: 395-399 - [c12]Siheng Chen, Yaoqing Yang, Christos Faloutsos, Jelena Kovacevic:
Monitoring Manhattan's traffic at 5 intersections? GlobalSIP 2016: 1270-1274 - [c11]Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic:
Representations of piecewise smooth signals on graphs. ICASSP 2016: 6370-6374 - [c10]Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic:
A statistical perspective of sampling scores for linear regression. ISIT 2016: 1556-1560 - [i7]Siheng Chen, Yaoqing Yang, Shi Zong, Aarti Singh, Jelena Kovacevic:
Detecting Structure-correlated Attributes on Graphs. CoRR abs/1604.00657 (2016) - [i6]Siheng Chen, Yaoqing Yang, José M. F. Moura, Jelena Kovacevic:
Signal Localization, Decomposition and Dictionary Learning on Graphs. CoRR abs/1607.01100 (2016) - 2015
- [j3]Siheng Chen, Aliaksei Sandryhaila, José M. F. Moura, Jelena Kovacevic:
Signal Recovery on Graphs: Variation Minimization. IEEE Trans. Signal Process. 63(17): 4609-4624 (2015) - [j2]Siheng Chen, Rohan Varma, Aliaksei Sandryhaila, Jelena Kovacevic:
Discrete Signal Processing on Graphs: Sampling Theory. IEEE Trans. Signal Process. 63(24): 6510-6523 (2015) - [c9]Tianxi Ji, Siheng Chen, Rohan Varma, Jelena Kovacevic:
Energy-efficient route planning for autonomous aerial vehicles based on graph signal recovery. Allerton 2015: 1414-1421 - [c8]Rohan Varma, Siheng Chen, Jelena Kovacevic:
Spectrum-blind signal recovery on graphs. CAMSAP 2015: 81-84 - [c7]Siheng Chen, Aliaksei Sandryhaila, Jelena Kovacevic:
Sampling theory for graph signals. ICASSP 2015: 3392-3396 - [c6]Siheng Chen, Aliaksei Sandryhaila, Jelena Kovacevic:
Distributed algorithm for graph signal inpainting. ICASSP 2015: 3731-3735 - [c5]Sean Bittner, Siheng Chen, Jelena Kovacevic:
Fast algorithm for neural network reconstruction. ISBI 2015: 866-869 - [i5]Siheng Chen, Rohan Varma, Aliaksei Sandryhaila, Jelena Kovacevic:
Discrete Signal Processing on Graphs: Sampling Theory. CoRR abs/1503.05432 (2015) - [i4]Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic:
Signal Recovery on Graphs: Random versus Experimentally Designed Sampling. CoRR abs/1504.05427 (2015) - [i3]Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic:
Signal Recovery on Graphs: Fundamental Limits of Sampling Strategies. CoRR abs/1512.05405 (2015) - [i2]Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic:
Signal Representations on Graphs: Tools and Applications. CoRR abs/1512.05406 (2015) - 2014
- [j1]Siheng Chen, Fernando Cerda, Piervincenzo Rizzo, Jacobo Bielak, James H. Garrett Jr., Jelena Kovacevic:
Semi-Supervised Multiresolution Classification Using Adaptive Graph Filtering With Application to Indirect Bridge Structural Health Monitoring. IEEE Trans. Signal Process. 62(11): 2879-2893 (2014) - [c4]Siheng Chen, Aliaksei Sandryhaila, José M. F. Moura, Jelena Kovacevic:
Signal denoising on graphs via graph filtering. GlobalSIP 2014: 872-876 - [c3]Siheng Chen, Aliaksei Sandryhaila, George Lederman, Zihao Wang, José M. F. Moura, Piervincenzo Rizzo, Jacobo Bielak, James H. Garrett Jr., Jelena Kovacevic:
Signal inpainting on graphs via total variation minimization. ICASSP 2014: 8267-8271 - [i1]Siheng Chen, Aliaksei Sandryhaila, José M. F. Moura, Jelena Kovacevic:
Signal Recovery on Graphs. CoRR abs/1411.7414 (2014) - 2013
- [c2]Siheng Chen, Aliaksei Sandryhaila, José M. F. Moura, Jelena Kovacevic:
Adaptive graph filtering: Multiresolution classification on graphs. GlobalSIP 2013: 427-430 - [c1]Siheng Chen, Fernando Cerda, Jia Guo, Joel B. Harley, Qing Shi, Piervincenzo Rizzo, Jacobo Bielak, James H. Garrett Jr., Jelena Kovacevic:
Multiresolution classification with semi-supervised learning for indirect bridge structural health monitoring. ICASSP 2013: 3412-3416
Coauthor Index
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