About Me
I graduated with a Bachelor's degree from the School of Control Science and Engineering at Shandong University in 2020. Currently, I am pursuing my Ph.D. in the Computer Science Department at Shanghai Jiao Tong University, under the mentorship of Professor Linghe Kong, since September 2020. My research interests are centered around enhancing the efficiency of AI models, including optimizations at both the system and algorithmic levels.
Publications
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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 (TC), 2025, To appear.
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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]
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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 (ACL), 2024. [PDF]
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Yizhen Yuan, Rui Kong, Shenghao Xie, Yuanchun Li, Yunxin Liu. PatchBackdoor: Backdoor Attack against Deep Neural Networks without Model Modification. ACM Multimedia (ACM MM), 2023. [PDF]
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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 (MobiSys), 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