Zongqing Lu
Associate Professor with Tenure
Researches reinforcement learning, multimodal large models and generalist agents.
Zongqing Lu's lab at Peking works on reinforcement learning, vision-language & multimodal and large language models. 85 papers since 2023, 24 at top venues, mostly CVPR and TMLR. Applications close .
At a glance
- papers, 2023–2026
- 22/ year
- at T1 venues
- 28%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 19 papers2026 · T1 17 · collecting
- 28 papers2025 · T1 2
- 23 papers2024 · T1 2
- 15 papers2023 · T1 3
T1 venuesOtherVenues: CVPR, TMLR, ECCV, ICLR, ICML
Research focuspaper titles that use each topic's words
- Reinforcement learning37 papers
- Large language models22 papers
- Vision-language & multimodal20 papers
- generalist1 paper
- researches reinforcement0 papers
Paper list
From the lab homepage.
202619 papers
- ICML (T1)Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos (opens in a new tab)
- ECCV (T1)BeTTER: Diagnose the Illusion of Embodied Reasoning in Vision-Language-Action Models (opens in a new tab)
- ICML (T1)Debiased Model-based Representations for Sample-efficient Continuous Control (opens in a new tab)
- CVPR (T1)DemoFunGrasp: Universal Dexterous Functional Grasping via Demonstration-Editing Reinforcement Learning (opens in a new tab)
- ICLR (T1)DemoGrasp: Universal Dexterous Grasping from a Single Demonstration (opens in a new tab)
- RA-LDemoHLM: From One Demonstration to Generalizable Humanoid Loco-Manipulation (opens in a new tab)
- TMLR (T1)EgoPlan: Towards Effective Embodied Agents via Egocentric Planning (opens in a new tab)
- CVPR (T1)End-to-End Language-Action Model for Humanoid Whole Body Control (opens in a new tab)
- CVPR (T1)GTR-Turbo: Merged Checkpoint is Secretly a Free Teacher for Agentic VLM Training (opens in a new tab)
- ICLR (T1)Guided Policy Optimization under Partial Observability (opens in a new tab)
- CVPR (T1)Joint-Aligned Latent Action: Towards Scalable VLA Pretraining in the Wild (opens in a new tab)
- AAAI Conference on Artificial Intelligence (AAAI), oralLearning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations (opens in a new tab)
202528 papers
- TMLR (T1)$f$-Divergence Policy Optimization in Fully Decentralized Cooperative MARL (opens in a new tab)
- Conference on Uncertainty in Artificial Intelligence (UAI), July 21-25, .Best Possible Q-Learning (opens in a new tab)
- The Annual Meeting of the Association for Computational Linguistics (ACL), July 27-AugustBeyond Outcomes: Transparent Assessment of LLM Reasoning in Games (opens in a new tab)
- Forty-Second International Conference on Machine Learning (ICML), July 13-19Cradle: Empowering Foundation Agents towards General Computer Control (opens in a new tab)
- Conference on Uncertainty in Artificial Intelligence (UAI), July 21-25, .Creative Agents: Empowering Agents with Imagination for Creative Tasks (opens in a new tab)
- The Thirteenth International Conference on Learning Representations (ICLR), April 24-28, .Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint (opens in a new tab)
- The Thirteenth International Conference on Learning Representations (ICLR), April 24-28, .Cross-Embodiment Dexterous Grasping with Reinforcement Learning (opens in a new tab)
- RA-LCROSSER: Learning Generalizable Humanoid Locomotion Through Inverse Dynamics-Guided Cross-Simulator Adaptation (opens in a new tab)
- The Thirteenth International Conference on Learning Representations (ICLR), April 24-28, .Discrete Latent Plans via Semantic Skill Abstractions (opens in a new tab)
- The Thirteenth International Conference on Learning Representations (ICLR), April 24-28, .Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping (opens in a new tab)
- Thirty-Ninth Conference on Neural Information Processing Systems (NeurIPS), Dec. 2-7, .From Experts to a Generalist: Toward General Whole-Body Control for Humanoid Robots (opens in a new tab)
- The Thirteenth International Conference on Learning Representations (ICLR), April 24-28, .From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities (opens in a new tab)
202423 papers
- TMLR (T1)A Fully Decentralized Surrogate for Multi-Agent Policy Optimization (opens in a new tab)
- Thirty-Eighth Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks, Dec. 9-15, .A Novel Benchmark for Decision-Making in Uncertain and Competitive Games (opens in a new tab)
- Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Findings, June 16-21AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback (opens in a new tab)
- Forty- International Conference on Machine Learning (ICML), July 21-27Cross-Domain Policy Adaptation by Capturing Representation Mismatch (opens in a new tab)
- ACL (T1)Language Model Adaption for Reinforcement Learning with Natural Language Action Space (opens in a new tab)
- Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), February 20-27Learning Multi-Object Positional Relationships via Emergent Communication (opens in a new tab)
- Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Findings, June 16-21LLaMA Rider: Spurring Large Language Models to Explore the Open World (opens in a new tab)
- Thirty-Eighth Conference on Neural Information Processing Systems (NeurIPS), Dec. 9-15, .Multi-Agent Coordination via Multi-Level Communication (opens in a new tab)
- Thirty-Eighth Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks, Dec. 9-15, .ODRL: A Benchmark for Off-Dynamics Reinforcement Learning (opens in a new tab)
- Thirty-Eighth Conference on Neural Information Processing Systems (NeurIPS), Dec. 9-15, .Opponent Modeling based on Subgoal Inference (opens in a new tab)
- Thirty-Eighth Conference on Neural Information Processing Systems (NeurIPS), Dec. 9-15, .Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation (opens in a new tab)
- European Conference on Computer Vision (ECCV), Sep. 29- Oct.Pre-Trained Visual Dynamics Representations for Efficient Policy Learning (opens in a new tab)
202315 papers
- TMLR (T1)A Survey on Transformers in Reinforcement Learning (opens in a new tab)
- Twenty-Second International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 29 - June 2, .Adaptive Learning Rates for Multi-Agent Reinforcement Learning (opens in a new tab)
- TPAMI (T1)Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation (opens in a new tab)
- Fortieth International Conference on Machine Learning (ICML), July 23-29, .Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning (opens in a new tab)
- Thirty-Seventh Conference on Neural Information Processing Systems (NeurIPS), Dec. 10-16, .Learning from Visual Observation via Offline Pretrained State-to-Go Transformer (opens in a new tab)
- TKDE (T1)MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control (opens in a new tab)
- Eleventh International Conference on Learning Representations (ICLR), May 1-5More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization (opens in a new tab)
- IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), Jun 18-22, .Multi-Agent Automated Machine Learning (opens in a new tab)
- Annual Meeting of the Association for Computational Linguistics (ACL), Findings, July 9-14Multi-Agent Language Learning: Symbolic Mapping (opens in a new tab)
- Thirty-Seventh Conference on Neural Information Processing Systems (NeurIPS), Dec. 10-16, .Mutual-Information Regularized Multi-Agent Policy Iteration (opens in a new tab)
- European Conference on Artificial Intelligence (ECAI), Sept. 30-Oct. 4, .Offline Decentralized Multi-Agent Reinforcement Learning (opens in a new tab)
- Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), February 7-14, .Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to PekingFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
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- GRE
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- English
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- Fee
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Not yet confirmed for this intake.
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