About Me
Ph.D. in Computer Science and Engineering
Shanghai Jiao Tong University
Email: monster119120@gmail.com
Link: Google Scholar / Github / Zhihu / Xiaohongshu
I received my Ph.D. degree from the Department of Computer Science and Engineering, Shanghai Jiao Tong University, advised by Prof. Linghe Kong. My research interests focus on enhancing the efficiency of AI models. I obtained my B.S. degree from Shandong University in 2020.
Publications
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[TC'25] Rui Kong, Yuanchun Li, Weijun Wang, Linghe Kong, Yunxin Liu.
Serving MoE Models on Resource-constrained Edge Devices via Dynamic Expert Swapping.
Transactions on Computers, 2025. [PDF] -
[ArXiv'24] Rui Kong, Qiyang Li, Xinyu Fang, Qingtian Feng, Qingfeng He, Yazhu Dong, Weijun Wang, Yuanchun Li, Linghe Kong, Yunxin Liu.
LoRA-Switch: Boosting the Efficiency of Dynamic LLM Adapters via System-Algorithm Co-design.
ArXiv, 2024. [PDF] -
[ACL'24] Rui Kong, Yuanchun Li, Qingtian Feng, Weijun Wang, Linghe Kong, Yunxin Liu.
SwapMoE: Efficient Memory-Constrained Serving of Large Sparse MoE Models via Dynamic Expert Pruning and Swapping.
Annual Meeting of the Association for Computational Linguistics, 2024. [PDF] -
[MM'23] Yizhen Yuan, Rui Kong, Shenghao Xie, Yuanchun Li, Yunxin Liu.
PatchBackdoor: Backdoor Attack against Deep Neural Networks without Model Modification.
ACM Multimedia, 2023. [PDF] -
[MobiSys'23] Rui Kong, Yuanchun Li, Yizhen Yuan, Linghe Kong.
ConvReLU++: Reference-based Lossless Acceleration of Conv-ReLU Operations on Mobile CPU.
ACM International Conference on Mobile Systems, Applications, and Services, 2023. [PDF]
Experiences
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Tsinghua University, AIR (2021.08-present): research intern. Mentor: Yuanchun Li and Yunxin Liu.
Awards
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The 14th National Smart Car Contest. First Prize
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The 13th National Smart Car Contest. Second Prize