|
Third-year Ph. D Student at Xiamen University |
[Biography] [Latest News] [Publications] [Professional Activities] [Major Awards] [Statistics]
Biography [back top]
I am currently a third-year Ph. D student in the Department of Artificial Intelligence, School of Informatics, Xiamen University, advised by Prof. Rongrong Ji. Earlier, I received the B.S. degree from the Department of Artificial Intelligence, School of Informatics, Xiamen University. I am the recipient of the National Natural Science Foundation of grant for Young Scholars (PhD students) (2024), the National Scholarship (2024), and the Young Talent Support Project by the China Association for Science and Technology (PhD students) (2024).
My recent research interests are to develop efficient LLM & MLLM models.
- 06/2022 -- 06/2024: Visiting Student, Peng Cheng Lab, Shenzhen, China
- 09/2021 -- 06/2022: Research Intern, VIVO AI Lab, Shenzhen, China
- 09/2016 -- 06/2020: B.S. in Computer Science and Technology, Xiamen University, Xiamen, China
Latest News [back top]
- 01/2025: Two papers accepted by ICLR 2025
- 12/2024: One paper accepted by IEEE TPAMI
- 05/2024: Two papers accepted by ICML 2024
- 02/2024: Two papers accepted by CVPR 2024
- 01/2024: One paper accepted by ICLR 2024
- 08/2023: One paper accepted by IEEE TPAMI
Selected Publications [back top]
 |
Yuxin Zhang, Mingbao Lin, Yunshan Zhong, Fei Chao, Rongrong Ji✉
Lottery Jackpots Exist in Pre-trained Models IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 [pdf] [code] |
 |
Yuxin Zhang, Yuxuan Du, Gen Luo, Yunshan Zhong, Zhenyu Zhang, Shiwei Liu, Rongrong Ji✉
CaM: Cache Merging for Memory-efficient LLMs Inference International Conference on Machine Learning (ICML), 2024 [pdf] [code] |
 |
Yuxin Zhang, Lirui Zhao, Mingbao Lin, Yunyun Sun, Yiwu Yao, Xingjia Han, Jared Tanner, Shiwei Liu, Rongrong Ji✉
Dynamic Sparse No Training: Training-free Fine-tuning for Sparse LLMs International Conference on Learning Representations (ICLR), 2024 [pdf] [code] |
 |
Yuxin Zhang*, Yiting Luo*, Mingbao Lin, Yunshan Zhong, Jingjing Xie, Fei Chao, Rongrong Ji✉
Bi-directional Masks for Efficient N:M Sparse Training International Conference on Machine Learning (ICML), 2023 [pdf] [code] (* Equal Contribution) |
 |
Yuxin Zhang, Mingbao Lin, Xunchao Li, Han Liu, Guozhi Wang, Fei Chao, Shuai Ren, Yafei Wen, Xiaoxin Chen, Rongrong Ji✉
Real-Time Image Demoiréing on Mobile Devices International Conference on Learning Representations (ICLR), 2023 [pdf] [code] |
 |
Yuxin Zhang, Mingbao Lin, Zhihang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji✉
Learning Best Combination for Efficient N:M Sparsity Neural Information Processing Systems (NeurIPS), 2022 [pdf] [code] |
 |
Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Yongjian Wu, Yonghong Tian, Rongrong Ji✉
Carrying out CNN Channel Pruning in a White Box IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 [pdf] [code] |
Professional Activities [back top]
- Conference Reviewer: CVPR 2022--2025, ICCV 2023, ICML 2022--2024, NeurIPS 2022-2023, ICLR 2024-2025