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I am a Ph.D. student in Academy for Advanced Interdisciplinary Studies at Peking University, where I am fortunate to be advised by Prof. Yadong Mu. Before that, I obtained my B.S. degree in Computer Science from Peking University. Email: sunzc [at] pku [dot] edu [dot] cn Google Scholar / LinkedIn / Github / Twitter |
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My research interests include (1) foundation models with enriched multimodal knowledge through generative pre-training, (2) continual / lifelong learning that enables rapid adaptation and knowledge accumulation in open-world environments. |
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Yang Jin, Zhicheng Sun, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Quzhe Huang, Chengru Song, Yuliang Liu, Di Zhang, Yang Song, Kun Gai, Yadong Mu ICML, 2024 project page / paper / code / bibtex We present a multimodal LLM capable of both comprehending and generating videos, based on an efficient decomposed video representation. |
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Zhicheng Sun, Jinghan Li, Yadong Mu CVPR, 2024 paper / code / bibtex We develop an open world object detector that exploits feature and prediction orthogonality to continually identify unknown objects. |
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Hanwen Liu, Zhicheng Sun, Yadong Mu CVPR, 2024 paper / code / bibtex We forge unlearnable examples against diffusion models with a robust watermarking method that focuses on the most influential pixels. |
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Zhicheng Sun, Yadong Mu NeurIPS, 2023 (Spotlight) paper / code / bibtex We propose a novel rewiring approach by permuting hidden neurons, allowing for structural plasticity in continual reinforcement learning. |
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Zhicheng Sun, Yadong Mu, Gang Hua CVPR, 2023 paper / arXiv / code / bibtex We identify a new class of second-order influence functions in replay-based continual learning, and address it with a regularized selection strategy. |
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Zhicheng Sun, Yadong Mu ACM Multimedia, 2022 paper / code / bibtex We use adaptively-chosen patches (rather than whole images) to pilot the forgetting-resistant distillation for lifelong person re-identification. |
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