Jinliang Zheng 郑金亮

Ph.D. Candidate, Tsinghua University

I am a Ph.D. candidate in Mechanical Engineering at the Institute for AI Industry Research (AIR), Tsinghua University. I work on embodied AI, with a particular interest in generalist robot policies, cross-embodiment learning, multimodal representation learning, and generative models.

I am advised by Prof. Xianyuan Zhan and Prof. Ya-Qin Zhang. I am always open to research discussions and collaboration.

Portrait of Jinliang Zheng

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Research Interests

Embodied AI · Robot Learning · Vision-Language-Action Models · Cross-Embodiment Learning · Multimodal Representation Learning · Generative Models

Selected Publications

* denotes equal contribution

Additional publications
  1. Efficient Robotic Policy Learning via Latent Space Backward Planning. ICML 2025.
  2. Diffusion-Based Planning for Autonomous Driving with Flexible Guidance. ICLR 2025, Oral.
  3. Robo-MUTUAL: Robotic Multimodal Task Specification via Unimodal Learning. ICRA 2025.
  4. GLID: Pre-training a Generalist Encoder-Decoder Vision Model. CVPR 2024.
  5. Enhancing Vision-Language Model with Unmasked Token Alignment at Scale. TMLR 2024.
  6. MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers. CVPR 2023.
  7. GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation. ICLR 2023.

Education

2023–Present

Tsinghua University

Ph.D. Candidate in Mechanical Engineering

School of Vehicle and Mobility · Institute for AI Industry Research

Honors & Awards

Research, academic, and competition distinctions

Professional Service