Zibin Dong

MS student, Tianjin University

Joined

September 2023

Names

Zibin Dong (Preferred)

Emails

****@tju.edu.cn (Confirmed)

****@outlook.com (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Career & Education History

MS student

Tianjin University (tju.edu.cn)

2023 – 2026

Undergrad student

Harbin Institute of Technology (hit.edu.cn)

2019 – 2023

Advisors, Relations & Conflicts

PhD Advisor

Jianye HAO

2023 – 2026

Coauthor

Fei Ni

2023 – 2026

Coauthor

Yifu Yuan

2023 – 2026

Expertise

Embodied AI

2024 – 2026

Generative Models

2022 – 2026

Reinforcement Learning

2022 – 2026

Publications

Don't Guess the Future, Find the Bottleneck: Spectral Subgoals for Offline Goal-Conditioned RL
Hebin Liang, Yi Ma, Chenjun Xiao, Zibin Dong, Zilin Cao, Fei Ni, Yifu Yuan, Jianye HAO
- ICLR 2026 Conference Desk Rejected Submission
- Readers: Everyone
Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation
Yifu Yuan, Haiqin Cui, Yaoting Huang, Yibin Chen, Fei Ni, Zibin Dong, Pengyi Li, YAN ZHENG, Hongyao Tang, Jianye HAO
- ICLR 2026 Poster
- Readers: Everyone
From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation
Yifu Yuan, Haiqin Cui, Yibin Chen, Zibin Dong, Fei Ni, Longxin Kou, Jinyi Liu, Pengyi Li, YAN ZHENG, Jianye HAO
- ICLR 2026 Poster
- Readers: Everyone
EmbodiedMAE: A Unified 3D Multi-Modal Representation for Robot Manipulation
Zibin Dong, Fei Ni, Yifu Yuan, Yinchuan Li, Jianye HAO
- Submitted to ICLR 2026
- Readers: Everyone
FASTer: Toward Powerful and Efficient Autoregressive Vision–Language–Action Models with Learnable Action Tokenizer and Block-wise Decoding
Yicheng Liu, Shiduo Zhang, Zibin Dong, Baijun Ye, Tianyuan Yuan, Xiaopeng Yu, Linqi Yin, Chenhao Lu, Junhao Shi, Luca Jiang-Tao Yu, Liangtao Zheng, Jingjing Gong, Tao Jiang, Xipeng Qiu, Hang Zhao
- ICLR 2026 Poster
- Readers: Everyone
COLA: Towards Efficient Multi-Objective Reinforcement Learning with Conflict Objective Regularization in Latent Space
Pengyi Li, Hongyao Tang, Yifu Yuan, Jianye HAO, Zibin Dong, YAN ZHENG
- NeurIPS 2025 poster
- Readers: Everyone
Conditioning Matters: Training Diffusion Policies is Faster Than You Think
Zibin Dong, Yicheng Liu, Yinchuan Li, Hang Zhao, Jianye HAO
- NeurIPS 2025 poster
- Readers: Everyone
R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models
Pengyi Li, Jianye HAO, Hongyao Tang, Yifu Yuan, Jinbin Qiao, Zibin Dong, YAN ZHENG
- ICML 2025 poster
- Readers: Everyone
MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning
Yifu Yuan, Zhenrui Zheng, Zibin Dong, Jianye HAO
- ICML 2025 poster
- Readers: Everyone
Entropy-based Activation Function Optimization: A Method on Searching Better Activation Functions
Haoyuan Sun, Zihao Wu, Bo Xia, Pu Chang, Zibin Dong, Yifu Yuan, Yongzhe Chang, Xueqian Wang
- ICLR 2025
- Readers: Everyone

View all 33 publications

Co-Authors

View all 53 co-authors