Siheng Chen 陈思衡 is a tenure-track associate professor of Shanghai Jiao Tong University and co-PI at Shanghai AI laboratory. He received his doctorate from Carnegie Mellon University. His research interests include collaborative & graph machine learning. Dr. Chen’s work on sampling theory of graph data received the 2018 IEEE Signal Processing Society Young Author Best Paper Award. His co-authored paper on structural health monitoring received ASME SHM/NDE 2020 Best Journal Paper Runner-Up Award and another paper on 3D point cloud processing received the Best Student Paper Award at 2018 IEEE Global Conference on Signal and Information Processing. His technique on joint perception and prediction was applied on all the UBER’s autonomous cars. Dr. Chen also contributed to the project of scene-aware interaction, winning MERL President’s Award. He also serves as the associate editor of IEEE Transactions on Signal and Information Processing over Networks. Research vision: integrating ai agents into human lives

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  • Collaborative agents
  • Graph machine learning
  • Computational social science
  • Ph.D in Electrical and Computer Engineering

    Carnegie Mellon University

  • Master of Science in Machine Learning

    Carnegie Mellon University

  • Bachelor of Science in Electronic Engineering

    Beijing Institute of Technology

Recent News

All news»

[Jan. 2024] Two papers are accepted by ICLR 2024

[Jan. 2024] FreeAlign is accepted by ICRA 2024

[Dec. 2023] Two papers are accepted by ICASSP 2024

[Dec. 2023] Self-supervised BEV motion is accepted by AAAI 2024

[Sep. 2023] Two papers are accepted by NeurIPS 2023

[Jul. 2023] Three papers are accepted by the International Conference on Computer Vision (ICCV)

[Jun. 2023] Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting is accepted by Transactions on Pattern Analysis and Machine Intelligence

[Apr. 2023] Two papers are accepted by The International Conference on Machine Learning (ICML)

[Apr. 2023] CoCa3D is reported by 机器之心

[Mar. 2023] Four papers are accepted by The Conference on Computer Vision and Pattern Recognition (CVPR)

Recent Publications

Quickly discover relevant content by filtering publications.
(2023). Robust Collaborative 3D Object Detection in Presence of Pose Errors. arXiv preprint arXiv:2211.07214.


(2023). Aerial monocular 3d object detection. arXiv preprint arXiv:2208.03974.


(2023). Discriminative Radial Domain Adaptation. IEEE Transactions on Image Processing.

Cite DOI

(2023). FedDisco: Federated Learning with Discrepancy-Aware Collaboration. CoRR.


(2022). Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs. IEEE Transactions on Knowledge and Data Engineering.


(2022). Aware of the history: Trajectory forecasting with the local behavior data. European Conference on Computer Vision (ECCV).



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