Zhenhao Zhang

Video Generation · Multimodal · Embodied AI

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About

I am a Research Intern at the Department of Automation, Tsinghua University supervised by Prof. Yebin Liu from October 2025. Before that, I will recieve M.E. Degree at VDI Center leded by Prof. Jingyi Yu in ShanghaiTech University and recieved B.E. Degree at Department of Computer Science, China Univeristy of Petroleum under the supervision of Prof. Yunquan Song.

I am now working at Kling Team, Kuaishou Technology as an intern from June 2026 on Video Generation. Before that,I worked at Signalplus as an Intern from June 2025 to August 2025 on Quant Trading Algorithm.

My research interests span Multimodal LLMs, Video Generation, and their applications in 3D vision and Embodied AI. I actively seek collaborations and friends. Feel free to contact me if you are interested in any of these areas.

我正在广泛的寻找大模型和视频生成方向的科研合作与工业界实习机会，如果您对此感兴趣，欢迎与我联系!

News

  1. OR-Expert accepted by ACM Multimedia 2026.

  2. DAG accepted by ECCV 2026.

  3. Joined the Kling Team at Kuaishou Technology as an intern.

  4. UniHM accepted by ICLR 2026.

  5. SDEval accepted by AAAI 2026.

  6. Joined Tsinghua University as a research intern.

  7. OpenHOI accepted by NeurIPS 2025 as an Oral.

  8. Joined SignalPlus as an intern.

  9. QVPO accepted by NeurIPS 2024.

Publications

DAG research preview ECCV 2026

ECCV 2026 · Poster

Diffusion Models are Open-World Affordance Learners

Hanqing Wang*, Zhenhao Zhang*, Kaiyang Ji*, Mingyu Liu, Wenti Yin, Yuchao Chen, Zhirui Liu, Xiangyu Zeng, Tianxiang Gui, Hangxing Zhang, Jiahao Yuan, Zhiqing Cui, Jiaxin Liu, Zhiyuan Ma†, Hui Xiong†

Paper ↗Project ↗Code ↗
OR-Expert research preview ACM MM 2026

ACM Multimedia 2026 · Poster

Generalizable Operating Room Expert with Multimodal Enhancement

Peiqi He*, Zhenhao Zhang*‡, Yixiang Zhang, Jiaxin Liu, Xiongjun Zhao†, Shaoliang Peng†

Paper ↗
SDEval research preview AAAI 2026

AAAI 2026 · Poster

SDEval: Safety Dynamic Evaluation for Multimodal Large Language Models

Hanqing Wang, Yuan Tian, Mingyu Liu, Zhenhao Zhang, Xiangyang Zhu†

Paper ↗Code ↗
QVPO research preview NeurIPS 2024

NeurIPS 2024 · Poster

Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

Shutong Ding, Ke Hu, Zhenhao Zhang, Kan Ren, Weinan Zhang, Jingyi Yu, Jingya Wang, Ye Shi†

Paper ↗Project ↗Code ↗

Experience

Kuaishou logo

Kling Team, Kuaishou Technology

Video Generation Post-training

Tsinghua University logo

Tsinghua University

Ego-Centric Video Generation. Advisor: Prof. Yebin Liu

Signalplus logo

Signalplus

Quant Trading Algorithm

Honors

  • 2026.5ICML Gold Reviewer, ICML Foundation
  • 2025.10NeurIPS Scholar Award, Neural Information Processing Foundation
  • 2022.06Finalist, America Mathematics Contest in Modeling

Academic service

  • Journal reviewerTMLR
  • Conference reviewerNeurIPS, ICLR, ICML, AAAI, CoRL, AISTATS