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2020 – today
- 2025
[i5]Ying Chen, Jiajing Chen, Yijie Weng, ChiaHua Chang, Dezhi Yu, Guanbiao Lin:
AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation. CoRR abs/2501.02182 (2025)- [i4]Shiyang Chen, Rain Jiang, Dezhi Yu, Jinlai Xu, Mengyuan Chao, Fanlong Meng, Chenyu Jiang, Wei Xu, Hang Liu:
KVDirect: Distributed Disaggregated LLM Inference. CoRR abs/2501.14743 (2025) - 2024
- [c1]Haoliang Wang, Tan Li, Lootha Loserian Muriatoy, Dezhi Yu, Pingxin Liu, Ai Jichong, Daoyi Lu:
Safe Path Following Control of Autonomous Underwater Vehicles Based on Double Dipole Vector Field. ASCC 2024: 327-331 - [i3]Xintao Li, Sibei Liu, Dezhi Yu, Yang Zhang, Xiaoyu Liu:
Predicting 30-Day Hospital Readmission in Medicare Patients: Insights from an LSTM Deep Learning Model. CoRR abs/2410.17545 (2024) - [i2]Keqin Li, Lipeng Liu, Jiajing Chen, Dezhi Yu, Xiaofan Zhou, Ming Li, Congyu Wang, Zhao Li:
Research on reinforcement learning based warehouse robot navigation algorithm in complex warehouse layout. CoRR abs/2411.06128 (2024) - [i1]Yang Wu, Huayi Zhang, Yizheng Jiao, Lin Ma, Xiaozhong Liu, Jinhong Yu, Dongyu Zhang, Dezhi Yu, Wei Xu:
ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning. CoRR abs/2412.00631 (2024)
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