Siheng Chen
副教授
Works on collaborative perception for autonomous driving, multi-agent systems and graph signal processing.
Siheng Chen's lab at SJTU works on autonomous vehicles & drones, planning, control & multi-robot systems and reasoning & neuro-symbolic AI. 83 papers since 2023, 60 at top venues, mostly CVPR and ICLR. Applications close .
At a glance
- papers, 2023–2026
- 22/ year
- at T1 venues
- 72%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage and DBLP, 2023–2026
- 13 papers2026 · T1 9 · collecting
- 26 papers2025 · T1 19
- 23 papers2024 · T1 15
- 21 papers2023 · T1 17
T1 venuesOtherVenues: CVPR, ICLR, ICCV, NeurIPS, Findings of ACL
Research focuspaper titles that use each topic's words
- collaborative19 papers
- Planning, control & multi-robot systems17 papers
- Autonomous vehicles & drones8 papers
- Reasoning & neuro-symbolic AI3 papers
- graph signal0 papers
Paper list
From the lab homepage and DBLP.
202613 papers
- ICLR (T1)AgentFold: Long-Horizon Web Agents with Proactive Context Folding (opens in a new tab)
- Findings of ACLFedGUI: Benchmarking Federated GUI Agents across Heterogeneous Platforms, Devices, and Operating Systems (opens in a new tab)
- TPAMI (T1)Hierarchical Spherical CNNs With Lifting-Based Adaptive Wavelets for Pooling and Unpooling (opens in a new tab)
- ICLR (T1)InfoMosaic-Bench: Evaluating Multi-Source Information Seeking in Tool-Augmented Agents (opens in a new tab)
- Findings of ACLLearnAct: Few-Shot Mobile GUI Agent with a Unified Demonstration Benchmark (opens in a new tab)
- CVPR (T1)Linking Modality Isolation in Heterogeneous Collaborative Perception (opens in a new tab)
- ACL (T1)MCP-Flow: Facilitating LLM Agents to Master Real-World, Diverse and Scaling MCP Tools (opens in a new tab)
- TPAMI (T1)Pragmatic Communication in Multi-Agent Collaborative Perception (opens in a new tab)
- ICLR (T1)RATE-DISTORTION OPTIMIZED PRAGMATIC COMMUNICATION FOR COLLABORATIVE PERCEPTION (opens in a new tab)
- ACL (T1)TeachMaster: Generative Teaching via Code (opens in a new tab)
- Findings of ACLText2Mem: A Unified Memory Operation Language for Memory Operating System (opens in a new tab)
- ICRA (T1)Unveiling the Impact of Data and Model Scaling on High-Level Control for Humanoid Robots (opens in a new tab)
202526 papers
- NeurIPS (T1)AGC-Drive: A Large-Scale Dataset for Real-World Aerial-Ground Collaboration in Driving Scenarios (opens in a new tab)
- NeurIPS (T1)BeliefMapNav: 3D Voxel-Based Belief Map for Zero-Shot Object Navigation (opens in a new tab)
- ICCV (T1)Colmdriver: Llm-Based Negotiation Benefits Cooperative Autonomous Driving (opens in a new tab)
- ICLR (T1)Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models (opens in a new tab)
- PatternsEthical-Lens: Curbing malicious usages of open-source text-to-image models (opens in a new tab)
- ACM MMFedAPT: Federated Adversarial Prompt Tuning for Vision-Language Models (opens in a new tab)
- Findings of ACLFedDQC: Data Quality Control in Federated Instruction-tuning of Large Language Models (opens in a new tab)
- EMNLP (T1)FedMABench: Benchmarking Mobile GUI Agents on Decentralized Heterogeneous User Data (opens in a new tab)
- ICCV (T1)InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models (opens in a new tab)
- IEEE Trans. Intell. Transp. Syst.Interactive Siamese Network-Based Roadside Perception for Multi-Vehicle Tracking (opens in a new tab)
- CVPR (T1)Learning to Detect Objects from Multi-Agent LiDAR Scans without Manual Labels (opens in a new tab)
- Trans. Mach. Learn. Res.LLM-Powered GUI Agents in Phone Automation: Surveying Progress and Prospects (opens in a new tab)
202423 papers
- ICLR (T1)An Extensible Framework for Open Heterogeneous Collaborative Perception (opens in a new tab)
- SensorsCollaborative Joint Perception and Prediction for Autonomous Driving (opens in a new tab)
- CVPR (T1)Communication-Efficient Collaborative Perception via Information Filling with Codebook (opens in a new tab)
- Neural NetworksDynamic-group-aware networks for multi-agent trajectory prediction with relational reasoning (opens in a new tab)
- CVPR (T1)Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents (opens in a new tab)
- ICLR (T1)Fake It Till Make It: Federated Learning with Consensus-Oriented Generation (opens in a new tab)
- CVPR (T1)FastMAC: Stochastic Spectral Sampling of Correspondence Graph (opens in a new tab)
- NeurIPS (T1)FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models (opens in a new tab)
- IEEE Trans. Intell. Transp. Syst.FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units (opens in a new tab)
- IJCRSFuzzy Granular-Balls Based Spectral Clustering (opens in a new tab)
- ICASSP (T1)Hypergraph Transformer for Semi-Supervised Classification (opens in a new tab)
- ICASSP (T1)Hypergraph-Mlp: Learning on Hypergraphs Without Message Passing (opens in a new tab)
202321 papers
- IEEE Trans. Multim.Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization (opens in a new tab)
- IEEE Robotics Autom. Lett.Aerial Monocular 3D Object Detection (opens in a new tab)
- ICCV (T1)Among Us: Adversarially Robust Collaborative Perception by Consensus (opens in a new tab)
- NeurIPS (T1)Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow (opens in a new tab)
- ICCV (T1)Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction (opens in a new tab)
- CVPR (T1)Collaboration Helps Camera Overtake LiDAR in 3D Detection (opens in a new tab)
- TPAMI (T1)Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting (opens in a new tab)
- ICDMCompatible Transformer for Irregularly Sampled Multivariate Time Series (opens in a new tab)
- TIP (T1)Discriminative Radial Domain Adaptation
- NeurIPS (T1)Emergent Communication in Interactive Sketch Question Answering (opens in a new tab)
- CVPR (T1)EqMotion: Equivariant Multi-Agent Motion Prediction with Invariant Interaction Reasoning (opens in a new tab)
- ICML (T1)FedDisco: Federated Learning with Discrepancy-Aware Collaboration (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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- The alumni list could not be found on the lab site.
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- Members
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- Alumni
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