Song-Chun Zhu
讲席教授
Leads research on foundations of general artificial intelligence, computer vision, statistical modeling, cognitive science and autonomous robots.
Song-Chun Zhu's lab at Peking works on embodied & active vision, learning theory & optimization and computational neuroscience & cognition. 45 papers since 2023, 37 at top venues, mostly NeurIPS and ICLR. Applications close .
At a glance
- papers, 2023–2026
- 12/ year
- at T1 venues
- 82%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 3 papers2026 · T1 3 · collecting
- 9 papers2025 · T1 8
- 17 papers2024 · T1 13
- 16 papers2023 · T1 13
T1 venuesOtherVenues: NeurIPS, ICLR, CVPR, AAAI, ICML
Research focuspaper titles that use each topic's words
- Learning theory & optimization12 papers
- Embodied & active vision3 papers
- Computational neuroscience & cognition0 papers
- general0 papers
- artificial intelligence0 papers
Paper list
From the lab homepage.
20263 papers
- Science Robotics (T1)Cross-robot behavior adaptation through intention alignment (opens in a new tab)
- AAAI (T1)TongUI: Internet-Scale Trajectories from Multimodal Web Tutorials for Generalized GUI Agents (opens in a new tab)
- AAAI (T1)Video Echoed in Music: Semantic, Temporal, and Rhythmic Alignment for Video-to-Music Generation (opens in a new tab)
20259 papers
- ICLR (T1)Building Interactable Replicas of Complex Articulated Objects via Gaussian Splatting (opens in a new tab)
- CVPR (T1)Decompositional Neural Scene Reconstruction with Generative Diffusion Prior (opens in a new tab)
- AAAI (T1)Differentiable Information Enhanced Model-Based Reinforcement Learning (opens in a new tab)
- EMNLP (T1)Enhancing LLM-Based Social Bot via an Adversarial Learning Framework (opens in a new tab)
- T-RO (T1)Integration of Robot and Scene Kinematics for Sequential Mobile Manipulation Planning (opens in a new tab)
- RA-LM3Bench: Benchmarking Whole-Body Motion Generation for Mobile Manipulation in 3D Scenes (opens in a new tab)
- CVPR (T1)METASCENES: Towards Automated Replica Creation for Real-world 3D Scans (opens in a new tab)
- ICLR (T1)Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage (opens in a new tab)
- CVPR (T1)Unveiling the Mist over 3D Vision-Language Understanding: Object-centric Evaluation with Chain-of-Analysis (opens in a new tab)
202417 papers
- NeurIPS (T1)AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making (opens in a new tab)
- IEEERSJ International Conference on Intelligent Robots and SystemsAg2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations (opens in a new tab)
- ICML (T1)An Embodied Generalist Agent in 3D World (opens in a new tab)
- ICLR (T1)Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World (opens in a new tab)
- ICLR (T1)CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents (opens in a new tab)
- CVPR (T1)CLOVA: A Closed-LOop Visual Assistant with Tool Usage and Update (opens in a new tab)
- ICML (T1)Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning (opens in a new tab)
- ICML (T1)Fast Peer Adaptation with Context-aware Exploration (opens in a new tab)
- NeurIPS (T1)FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models (opens in a new tab)
- Robotics: Science and Systems ConferenceINTERPRET: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning (opens in a new tab)
- NeurIPS (T1)Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games (opens in a new tab)
- IEEERSJ International Conference on Intelligent Robots and SystemsLLM3: Large Language Model-based Task and Motion Planning with Motion Failure Reasoning (opens in a new tab)
202316 papers
- ICLR (T1)A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics (opens in a new tab)
- ICCV (T1)ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes (opens in a new tab)
- NeurIPS (T1)Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models (opens in a new tab)
- CVPR (T1)Diffusion-based Generation, Optimization, and Planning in 3D Scenes (opens in a new tab)
- NeurIPS (T1)Diplomat: A Dialogue Dataset for Situated PragMATic Reasoning (opens in a new tab)
- ICLR (T1)Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning (opens in a new tab)
- NeurIPS (T1)Evaluating and Inducing Personality in Pre-trained Language Models (opens in a new tab)
- Trans on Pattern Analysis and Machine IntelligenceGuest Editorial: Introduction to the Special Section on Graphs in Vision and Pattern Analysis (opens in a new tab)
- IEEERSJ International Conference on Intelligent Robots and SystemsLearning a Causal Transition Model for Object Cutting (opens in a new tab)
- NeurIPS (T1)Learning Energy-Based Prior Model with Diffusion-Amortized MCMC (opens in a new tab)
- NeurIPS (T1)Learning non-Markovian Decision-Making from State-only Sequences (opens in a new tab)
- ICML (T1)On the Complexity of Bayesian Generalization (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
- —
- GRE
- See program page
- English
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- Fee
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Not yet confirmed for this intake.
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