Multimodal intelligence · Agents · Embodied AI

Zhengrong Yue （岳政融）

PhD Student
Shanghai Jiao Tong University & Shanghai AI Lab

amo_yuezr@sjtu.edu.cnCV ↗Google Scholar ↗GitHub ↗OpenReview ↗

I am a PhD student at Shanghai Jiao Tong University and Shanghai AI Lab, advised by Prof. Yali Wang. I received my bachelor’s degree in Computer Science and Technology from China University of Mining & Technology (Beijing) in 2024.

I have previously held research internships at Meituan, Alibaba, Huawei, Samsung, Shanghai AI Lab, and SIAT.

Unified Multimodal Understanding & Generation
LLM Agents
Embodied AI & World Models
Quantitative Research

I expect to graduate in 2029 and am actively seeking internship opportunities in unified multimodal understanding and generation, LLM agents, and embodied AI / world models. Please email me to discuss internships or potential research collaborations.

Publications

* Equal contribution · Full publication list

2026

Preprint 2026

AutoDesign: Meta-Harness Optimization for Long-Horizon Agentic Design

Yaxin Luo, Haobin Jiang, Jialv Zou, Xu Huang, Wenhao Yan, Haodong Li, Zhengrong Yue, Jing Li, Xiaofu Chen, Xiaohan Zhao, Jiacheng Liu, Jiacheng Cui, Zhiqiang Shen, Xiaotong Li

Paper ↗ Code ↗

Preprint 2026

VideoCoCo: Code-as-CoT for Physically-Consistent Video Generation via an Agentic Dual-Engine System

Haodong Li, Tianfei Ren, ..., Zhengrong Yue, Yaxin Luo, Xiaotong Li et al.

Paper ↗ Code ↗

NeurIPS 2026

What Matters for Diffusion-Friendly Latent Manifold? Prior-Aligned Autoencoders for Latent Diffusion

Zhengrong Yue, Taihang Hu, Mengting Chen, Haiyu Zhang, Zihao Pan, Tao Liu, Zikang Wang, Jinsong Lan, Xiaoyong Zhu, Bo Zheng, Yali Wang.

Paper ↗ · Code ↗ · Project ↗

NeurIPS 2026

Continuous-Time Distribution Matching for Few-Step Diffusion Distillation

Tao Liu, Hao Yan, Mengting Chen, Taihang Hu, Zhengrong Yue, Zihao Pan, Jinsong Lan, Xiaoyong Zhu, Ming-Ming Cheng, Bo Zheng, Yaxing Wang.

Paper ↗ Code ↗

ECCV 2026

Beyond Textual CoT: Interleaved Text-Image Chains with Deep Confidence Reasoning for Image Editing

Zhentao Zou*, Zhengrong Yue*, Kunpeng Du, Binlei Bao, Hanting Li, Haizhen Xie, Guozheng Xu, Yue Zhou, Yali Wang, Jie Hu, Xue Jiang, Xinghao Chen.

Paper ↗Repository ↗

CVPR 2026

VideoChat-M1: Collaborative Policy Planning for Video Understanding via Multi-Agent Reinforcement Learning

Boyu Chen*, Zikang Wang*, Zhengrong Yue*, Kainan Yan*, Chenyun Yu, Yi Huang, Zijun Liu, Yafei Wen, Xiaoxin Chen, Yang Liu, Peng Li, Yali Wang.

Paper ↗

ICLR 2026

UniFlow: A Unified Pixel Flow Tokenizer for Visual Understanding and Generation

Zhengrong Yue, Haiyu Zhang, Xiangyu Zeng, Boyu Chen, Chenting Wang, Shaobin Zhuang, Lu Dong, Kunpeng Du, Yi Wang, Limin Wang, Yali Wang.

Paper ↗Code ↗

AAAI 2026 (Oral)

VideoChat-A1: Thinking with Long Videos by Chain-of-Shot Reasoning

Zikang Wang*, Boyu Chen*, Zhengrong Yue*, Yi Wang, Yu Qiao, Limin Wang, Yali Wang.

Paper ↗Code ↗

AAAI 2026

G-UBS: Towards Robust Understanding of Implicit Feedback via Group-Aware User Behavior Simulation

Boyu Chen*, Siran Chen*, Zhengrong Yue*, Kainan Yan, Chenyun Yu, Beibei Kong, Cheng lei, Chengxiang Zhuo, Zang Li, Yali Wang.

Paper ↗

2025

NeurIPS 2025

VTTS: Visual Test-Time Scaling to Reinforce Multimodal Reasoning by Iterative Perception

Ziang Yan*, Yinan He*, Xinhao Li*, Zhengrong Yue*, Xiangyu Zeng, Yali Wang, Yu Qiao, Limin Wang, Yi Wang.

Paper ↗Code ↗

ICCV 2025

LVAgent: Dynamic Round-by-round MLLM Agent Collaboration for Long Video Understanding

Boyu Chen*, Zhengrong Yue*, Siran Chen*, Zikang Wang, Yang Liu, Peng Li, Yali Wang.

Paper ↗Code ↗

CVPR 2025

V-Stylist: Video Stylization via Collaboration and Reflection of MLLM Agents

Zhengrong Yue, Shaobin Zhuang, Kunchang Li, Yanbo Ding, Yali Wang.

Paper ↗Repository ↗

ICLR 2025

TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Xiangyu Zeng, Kunchang Li, Chenting Wang, Xinhao Li, Tianxiang Jiang, Ziang Yan, Songze Li, Yansong Shi, Zhengrong Yue, Yi Wang, Yali Wang, Yu Qiao, Limin Wang.

Paper ↗Code ↗