Jianyu Chen
Tenured associate professor
Works on robotics, reinforcement learning, control, and autonomous driving, including humanoid robot learning.
Jianyu Chen's lab at Tsinghua works on manipulation & robot learning, legged locomotion & humanoids and embodied & active vision. 26 papers since 2023, 15 at top venues, mostly ICLR and ICML. Applications close .
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 58%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage and DBLP, 2023–2026
- 5 papers2026 · T1 4 · collecting
- 6 papers2025 · T1 4
- 8 papers2024 · T1 5
- 7 papers2023 · T1 2
T1 venuesOtherVenues: ICLR, ICML, ICRA, RA-L, ACC
Research focuspaper titles that use each topic's words
- Manipulation & robot learning16 papers
- Embodied & active vision4 papers
- Legged locomotion & humanoids1 paper
- humanoid1 paper
- interdisciplinary information0 papers
Paper list
From the lab homepage and DBLP.
20265 papers
- ICLR (T1)Ctrl-World: A Controllable Generative World Model for Robot Manipulation (opens in a new tab)
- ICRA (T1)Dexora: Open-source VLA for High-DoF Bimanual Dexterity (opens in a new tab)
- Findings of ACLProCeedRL: Process Critic with Explorative Demonstration Reinforcement Learning for LLM Agentic Reasoning (opens in a new tab)
- ICLR (T1)villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models (opens in a new tab)
- ICLR (T1)VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models (opens in a new tab)
20256 papers
- ICRA (T1)Improving Vision-Language-Action Model with Online Reinforcement Learning (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Learn Zero-Constraint-Violation Safe Policy in Model-Free Constrained Reinforcement Learning (opens in a new tab)
- ICML (T1)MARGE: Improving Math Reasoning with Guided Exploration (opens in a new tab)
- ICML (T1)UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent (opens in a new tab)
- ICML (T1)Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations (opens in a new tab)
- IEEE Trans. Evol. Comput.Zeroth-Order Actor-Critic: An Evolutionary Framework for Sequential Decision Problems (opens in a new tab)
20248 papers
- RSS (T1)Advancing Humanoid Locomotion: Mastering Challenging Terrains with Denoising World Model Learning (opens in a new tab)
- IROS (T1)DoReMi: Grounding Language Model by Detecting and Recovering from Plan-Execution Misalignment (opens in a new tab)
- CoRL (T1)HiRT: Enhancing Robotic Control with Hierarchical Robot Transformers (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Model-Based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian (opens in a new tab)
- NeurIPS (T1)Prediction with Action: Visual Policy Learning via Joint Denoising Process (opens in a new tab)
- CDCPrompt a Robot to Walk with Large Language Models (opens in a new tab)
- IEEE Trans Autom. Sci. Eng.Safe Model-Based Reinforcement Learning With an Uncertainty-Aware Reachability Certificate (opens in a new tab)
- TAC (T1)Synthesizing Control Barrier Functions With Feasible Region Iteration for Safe Reinforcement Learning (opens in a new tab)
20237 papers
- ACCBelief State Actor-Critic Algorithm from Separation Principle for POMDP (opens in a new tab)
- RA-LChance-Constrained Iterative Linear-Quadratic Stochastic Games (opens in a new tab)
- IEEE Robotics Autom. Lett.Decentralized Motor Skill Learning for Complex Robotic Systems (opens in a new tab)
- RA-LModel-Free Safe Reinforcement Learning through Neural Barrier Certificate (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Policy-Iteration-Based Finite-Horizon Approximate Dynamic Programming for Continuous-Time Nonlinear Optimal Control (opens in a new tab)
- IJCAI (T1)Towards Generalizable Reinforcement Learning for Trade Execution (opens in a new tab)
- ICRA (T1)Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to TsinghuaFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- GRE
- See program page
- English
- Per school catalog
- Fee
- RMB 800
Not yet confirmed for this intake.
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage and DBLP
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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