Welcome to Zeju Li (李泽钜) ‘s homepage!

I’m a 1st-year PhD in The Chinese Univeristy of Hong Kong, the Department of Computer Science and Engineering.

Before that, I got my bachelor’s degree in ‘class for talent’ of Beijing University of Posts and Telecommunications (BUPT) with honor. I also have some wonderful research experiences in Institute of Automation and Institute of Computing Technology of Chinese Academy of Sciences, Beijing Shuyuan Research Center, Nanjing EDA Research Center, BUPT, KAUST, CUHKSZ and CUHK.

My research interests include Computer Vision, Code-LLM, 3D-LLM and Multimodality. Here is my latest curriculum vitae.

I am actively looking for academic collaboration, feel free to drop me an email. (lizeju0727@gmail.com)

Education

Beijing University of Posts and Telecommunications (2020.09-2024.06)

B.E. in School of Information and Communication Engineering, class for talent

The Chinese Univeristy of Hong Kong (2024.08-2028.06)

Ph.D in Department of Computer Science and Engineering

News

• [2024.05] I join Cure Lab in CUHK as research assistant, supervised by Qiang Xu, and incoming PhD in August.
• [2024.04] I join KAUST as a visiting student, supervised by Mohamed Elhoseiny.
• [2023.10] I receive Singapore International Pre-Graduate Award(SIPGA) by I2R of A STAR.
• [2023.08] I join Beijing Shuyuan Research Center as a research intern. My research interets include multi-modal LLM and 3D world LLM.
• [2023.07] I join The Chinese University of Hong Kong(Shenzhen) by Prof. Xiaoguang Han. My research interets and fields are AIGC and 3D generation.
• [2023.04] Our work about “knowledge graph construction and fusion” is accepted “ICALT 2023” and receives the Best Paper Award Nomination.
• [2023.04] I work at the National Laboratory of Pattern Recognition (NLPR) at the Institute of Automation of the Chinese Academy of Sciences (CASIA) as a research intern. My research interets and fields are diffusion model and AI4Science.
• [2023.01] Our work on “robust and safety about semantic communication” is accepted by “ICC 2023”and “IEEE Communciation Magazine”.
• [2022.08] Our work on “adversarial attacks for semantic communication” is accepted by “2022 IEEE 96th Vehicular Technology Conference”.
• [2022.05] I join in the National Engineering Research Center of Mobile Network Security in BUPT as a research intern.
• [2021.05] I join in the State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecomunications.

Selected Rewards

• China National Endeavor Scholarship, 2021,2022,2023, Ministry of Education of China
• Singapore International Pre-Graduate Award (SIPGA), 2023, A STAR of Singapore
• People’s Daily Scholarship, 2024, People’s Daily Online of China [web]
• Best Paper Nomination Award, 2023, The IEEE Technical Community on Learning Technology [web]
• BUPT-SICE Excellent Student Creative Foundation, 2023, Beijing University of Posts and Telecommunications
• Outstanding Graduate of BUPT, 2024, Beijing University of Posts and Telecommunications
• Candidates for Special Scholarships, 2024, Beijing University of Posts and Telecommunications
• Full Postgraduate Studentship, 2024, The Chinese Univeristy of Hong Kong

Publications

• Zeju Li, Chao Zhang, Xiaoyan Wang, Ruilong Ren, Yifan Xu, Ruifei Ma, Xiangde Liu. 3DMIT: 3D Multi-modal Instruction Tuning for Scene Understanding. (ICME-3DMM 2024), [pdf] [code]
• Zeju Li, Xinghan Liu, Guoshun Nan* , Jinfei Zhou, Xinchen Lyu, Qimei Cui, Xiaofeng Tao. Boosting Physical Layer Black-Box Attacks with Semantic Adversaries in Semantic Communications. Proceedings of the International Communication Conference. (ICC 2023) [pdf]
• Zeju Li, Linya Cheng, Chunhong Zhang, Xinning Zhu, Hui ZhaoMulti-source Education Knowledge Graph Construction and Fusion for College Curricula.Proceedings of the IEEE International Conference on Advanced Learning Technologies. (ICALT 2023) [pdf]
• Zeju Li, Jinfei Zhou, Guoshun Nan* , Zhichun Li, Qimei Cui, Xiaofeng Tao. SemBAT: Physical Layer Black-box Adversarial Attacks for Deep Learning-based Semantic Communication Systems. 2022 IEEE 96th Vehicular Technology Conference. (VTC 2022-fall) [pdf]
• Xinghan Liu, Guoshun Nan*, Qimei Cui, Zeju Li, Peiyuan Liu, Zebin Xing, Hanqing Mu, Yuanwei Liu, Xiaofeng Tao. SemProtector: A Unified Framework for Semantic Protection in Deep Learning-based Semantic Communication Systems. (IEEE Communciation Magazine)(SCI Q1)[pdf]
• Zhiyuan Wu, Sheng Sun, Min Liu, Quyang Pan, Junbo Zhang, Yuwei Wang*, Zeju Li, and Qingxiang Liu. Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation. (ACM Transactions on Intelligent Systems and Technology)(SCI Q1)[pdf]