I am an CS PhD student at University of Maryland, College Park, advised by Prof. Heng Huang. I received my Master degree in EE at Northwestern University, supervised by Prof.Qi Zhu and Prof.Xiao Wang. Before that, I obtained my B.S from Sun Yat-sen University in July 2020 under the supervision of Prof.Xiao Zhang.

Research Interests

● Vision Language Model, Large Language Model

● Continual Learning, Federated Learning, Domain Adaptation

Publications

OPTune: Efficient Online Preference Tuning
Lichang Chen, Jiuhai Chen*, Chenxi Liu*, John Kirchenbauer, Davit Soselia, Chen Zhu, Tom Goldstein, Tianyi Zhou, Heng Huang
Arxiv 2024

Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt
Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang
The 18th European Conference on Computer Vision, March.2024

Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection
Ruibo Chen, Yihan Wu, Lichang Chen, Guodong Liu, Qi He, Tianyi Xiong, Chenxi Liu, Junfeng Guo, Heng Huang
Findings of the Association for Computational Linguistics, Feb.2024

Federated Continual Novel Class Learning
Lixu Wang*, Chenxi Liu*, Junfeng Guo, Jiahua Dong, Xiao Wang, Heng Huang, Qi Zhu
Arxiv, Dec.2023

Deja Vu: Continual Model Generalization for Unseen Domains
Chenxi Liu*, Lixu Wang*, Lingjuan Lyu, Chen Sun, Xiao Wang, Qi Zhu
International Conference on Learning Representations (ICLR), Jan.2023

Predicting Quantum Many-Body Dynamics with Transferable Neural Networks
Zewang Zhang, Shuo Yang, Yihang Wu, Chenxi Liu, Yimin Han, Ching Hua Lee, Zheng Sun, Guangjie Li and Xiao Zhang
Chinese Physics Letters, Dec. 2019