I am Current a First-year Master student in ShanghaiTech University under the supervision of Prof. Ye Shi and Prof. Jingya Wang,who are experts in the field of Computer Vision.I get B.E. Degree in China University of Petroleum under the supervision of Prof. Yunquan Song, who is an expert in the field of High-Dimensional Statistic.
My Research interest include Large Language Models, Spatial Intelligence and Embodied AI. Now I focus on the topic:
- Spatial Synthesis and Reasoning: Improve 3D Understanding, 3D Affordance Reasoning, Manipulation Sequences Synthesis
- Robot Manipulation:Hand-Object interaction, Human-Object Interaction, Grasp
- AI4Science:Biomedical Information, AI Agent, Economical Science, LLM Application
Click Here to visit my CV. I am looking for Collaborators and Friends. Feel free to contact me if you are interested in these fantasic topics!
Email :zhangzhh2024 AT shanghaitech DOT edu DOT cn
🔥 News
- 2025: I serve as PC Member of ICML 2025, NeurIPS 2025, IJCNN 2025, AAAI 2026, ICCV 2025 Workshop HRSIC, AISTATS 2026, ICLR 2026 in year of 2025.
- 2025.07:DAG accepted by WAIC 2025!
- 2025.06:I join SignalPlus as an AI Agent System Development Intern for Quantitative Trading!
- 2024: I serve as PC Member of NeurIPS 2024, ICLR 2025, AISTATS 2025 in year of 2024.
- 2024.09:QVPO accepted by NeurIPS 2024!
- 2024.09:I join ShanghaiTech University,VDI Center as a CS Master Student!
📝 Selected Publications
†:Equal Contribution *:Corresponding Author #Student First Author ‡Project Leader


DAG: Unleash the potential of Diffusion Model for Open-Vocabulary 3D Affordance Grounding
Hanqing Wang†*, Zhenhao Zhang†#, Kaiyang Ji†, etc.
WAIC 2025

OpenHOI: Open-World Hand-Object Interaction Synthesis with Multimodal Large Language Model
Zhenhao Zhang, Ye Shi*, Lingxiao Yang, Suting Ni, Qi Ye, Jingya Wang*

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*
NeurIPS 2024
🎖 Selected Honors and Awards
- 2023.5,National Second Prize, China Robotics and Artificial Intelligence Competition
- 2023.4,Shandong First Prize in Group A, LanQiao Cup
- 2022.11,Bronze Medal(SOLO), Kaggle Featured Code Competition:Feedback Prize - English Language Learning
- 2022.6,Finalist, America Mathematics Contest in Modeling,Top 1%
- 2021.4,Shandong First Prize in Group A, LanQiao Cup
📖 Educations

ShanghaiTech University
2024.09 - now
School of Information Science and Technology
Major: M.S. in Computer Science
MoE Key Laboratory of Intelligent Perception and Human Machine Collaboration, VDI Center, YesAI Lab

China University of Petroleum
2020.09 - 2024.06
School of Computer Science and Technology
Major: B.E. in Computer Science and Technology
💻 Selected Internships

SignalPlus
2025.6 - 2025.8
AI Agent System Development Intern
Project: LLMs for Quantitative Trading

ShanghaiTech University
2024.3 - 2024.9
VDI Center,YesAI Lab
Visiting Student: Reinforcement Learning, Embodied AI
Paper:NeurIPS2024[paper]

China University of Petroleum
2021.7 - 2023.9
Department of Data Science and Statistics
Research Intern: Machine Learning, Biomedical Information
Paper:ARXIV2023[paper]
📚 Other Experiences
- Main Contributor in Awesome Affordance Learning
merged in Embodied-AI-Guide
- Predictive Algorithm Intern in HAOMO AI. Project: Hybrid Auto-driving based on rules and networks
- Research Intern in MIG@UPC. Project: Segmentation in the Dark.
- Machine Vision Intern in UPC-Artrobot Cooperation Item. Project: Intelligent Vehicle
- Member of ACM-ICPC Club@UPC and MCM Association@UPC
💼 Services
- PC Member: NeurIPS 2024, ICLR 2025, AISTATS 2025, ICML 2025, NeurIPS 2025, IJCNN 2025, AAAI 2026, ICCV 2025 Workshop HRSIC, AISTATS 2026, ICLR 2026
- Association Member: CAA Member, CCF Student Member
🤝 Friends
- Large Language Models:Hanqing Wang,Xiangyu Zeng
- Computer Vision:Jiaxin Liu,Kaiyang Ji,Zhirui Liu,Yuke Li
- Emboided AI:Yahao Fan,Tianxiang Gui
- Reinforcement Learning:Shutong Ding,Ke Hu
- Generative Models:Mokai Pan