Zhangzhi Xiong (熊章智)
ShanghaiTech Computer Science Undergraduate Student
Research Interests: ML/DL/RL, Generative Model, Multimodality, Data Mining, Structured Representation
Welcome! I am currently a Junior student majoring in Computer Science at ShanghaiTech University(上海科技大学). I was also a visiting student at the College of Engineering (COE), UC Berkeley, during the first semester of junior year.
I've been working in the fields of 3D Computer Viison, Time Series, and Structured Representation during my research intern experience over the past two years. My research interests currently mainly lie in ML/DL/RL, Generative Model, Multimodality, Data Mining and Structured Representation.
I name my Github repository "csrookie" because my favorite motto is Steve Jobs': "Stay hungry, stay foolish." In the field of AI research, I will always be a rookie and will never stop learning and exploring with a hungry and foolish heart. I have explored a diverse range of AI sub-fields, including 2D&3D Computer Vision, NLP, Time Series, Multimodality, Interpretability, etc, and I am always eager to explore new frontiers with excitement.
基于目前的学业排名(Top 2%), 我已基本锁定2026届推免资格。 目前正积极寻求计算机专业人工智能领域的课题组，计划攻读直博或学术型硕士学位。
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[Patent] General-purpose Dynamic Point Cloud Understanding Model and Multi-task Collaborative Optimization System2025
Yiteng Xu, Haoyu Wu, Zhangzhi Xiong, Shenshuo Yao, Leshi Li, Xinge Zhu, Yuexin Ma
(Publication No.CN120412083A; 3rd contribution; Patent owner: Ph.D. Student Yiteng Xu from 4DVLab) -
[ICML paper, under review]2026
Shaocheng Lan, Shuqi Gu, Zhangzhi Xiong, Kan Ren
Research Intern @ MLDI Lab, ShanghaiTech University
2026.01 - 2026.01
Under the guidance of M.S. Student Shaocheng Lan and Asst. Prof. Kan Ren.
Focus on benchmarking in the domain of Time Series.
Visiting Student @ UC Berkeley
2025.08 - 2025.12College of Engineering (COE) GLOBE Exchange Program.
Courses Taken: Computer Vision, Deep Learning, Natural Language Processing, Stochastic Processes.
Research Intern @ AI Honor Program, ShanghaiTech University
2025.02 - 2026.02
Working with Prof. & Asst. Dean Kewei Tu and Asst. Prof. Kan Ren.
Conducting exploration and research on a challenging frontier project involving Time Series and Structured Representation.
Research Intern @ VRVC, ShanghaiTech University
2024.09 - 2024.11Under the guidance of M.S. Student Zhehao Shen.
Focus on 3D Gaussian Splatting for Human Volumetric Rendering and simulated data collection.
Research Intern @ 4DVLab, ShanghaiTech University
2024.03 - 2024.08Under the guidance of Ph.D. Student Yiteng Xu and Asst. Prof. Yuexin Ma.
Focus on Human Point Cloud Video understanding and related downstreaming tasks.
- AI Honor Class, ShanghaiTech University 2024-2027
- ShanghaiTech University Outstanding Student (Top 7%) 2023-2024
- ShanghaiTech University Outstanding Student (Top 7%) 2024-2025
- Second Prize, The Chinese Mathematics Competitions (Non-math major group), Shanghai Region 2024.12
- Second Prize, Contemporary Undergraduate Mathematical Contest in Modeling (CUMCM), Shanghai Region (Team Leader) 2025.11
Halma Game Agent
2025.05 - 2025.06- Deployed classical AI agent algorithms (Minimax with Alpha-Beta Pruning) for the Halma game.
- Implemented Neural Approximate Q-learning (DQN) to enhance the agent's decision-making capabilities.
FP-GNN++: Towards Accurate Molecule Property Classification
2025.05 - 2025.06- Modeled chemical bond information as additional inductive bias for better molecular representation.
- Designed Cross-Attention mechanisms and Multi-head GNNs for effective multi-feature fusion.
- Conducted extensive ablation studies to verify the effectiveness of the novel structural designs.
UC Berkeley Computer Vision Course Projects Personal Gallery
2025.08 - 2025.12- Images and pictures are lovely! It's also important and beneficial to develop the passion to introduce and demonstrate our work to others in the community! - A.A.Efros
- Codes are not made public due to course regulations.
Explorations on Catastrophic Forgetting Mitigation Curriculum
2025.10 - 2025.12- Conducting free explorations on factors that affect Catastrophic Forgetting Phenomenon.
- Design curriculum accordingly to mitigate Catastrophic Forgetting and then attempt on verifying validicity of curriculum transfer.
Course Notes & Resources
This website also serves as my personal knowledge base. I have compiled some useful and detailed notes, reviews, and resources for various CS and Math courses at ShanghaiTech. Feel free to drop by!
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