Zhan Zhuang (庄湛)
Ph.D. candidate at the City University of Hong Kong.
Contact me: 12250063 [at] mail.sustech.edu.cn
I am currently a Ph.D. candidate at the City University of Hong Kong and advised by Professors Kede Ma (马柯德), Ying Wei (魏颖), and Yu Zhang (张宇). My research centers on building adaptive, efficient, and evolving AI systems, with current interests in agentic memory, efficient LLM adaptation (PEFT, RLVR, KV cache), deep generative models, transfer/meta/continual learning, and AI for science.
Before joining CityUHK, I received my B.Eng. from SUSTech, with early explorations in high-performance computing, augmented reality, blockchain, games, and software engineering.
News
Two papers got accepted by ICML 2026.
One paper got accepted by CVPR 2026.
One paper got accepted by ICLR 2026.
One paper got accepted by NeurIPS 2025.
One paper got accepted by ICCV 2025.
Two papers got accepted by ICML 2025.
Two papers got accepted by ICLR 2025, one as an oral presentation (top 1.8%).
One paper got accepted by AAAI 2025 for oral presentation (top 3.7%).
One paper got accepted by NeurIPS 2024.
One paper got accepted by ICLR 2024 for spotlight presentation.
Education
Ph.D. candidate, advised by Professors Kede Ma, Ying Wei, and Yu Zhang.
B.Eng. in Computer Science and Technology, advised by Professor Xuan Song.
Life Principles
- 感受、创造和延续人类文明文化 (To feel, participate, and perpetuate the human civilization)
- 分析、解释和改造情感认知机制 (To analyze, interpret, and transform emotion and cognition)
- 设计、模拟和运行信息生命环境 (To design, simulate, and operate the artificial life)
- 研究、发现和实证宇宙基本法则 (To study, discover, and verify the laws of the universe)
- 寻找、对话和接触地外智慧生命 (To seek, contact, and engage with extraterrestrial life)