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Kaiwen Hu
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Journal Articles
- 2024
- [j3]Penglin Dai, Yaorong Huang, Kaiwen Hu, Xiao Wu, Huanlai Xing, Zhaofei Yu:
Meta Reinforcement Learning for Multi-Task Offloading in Vehicular Edge Computing. IEEE Trans. Mob. Comput. 23(3): 2123-2138 (2024) - 2023
- [j2]Kaiwen Hu, Jing Gao, Fangyuan Mao, Xinhui Song, Lechao Cheng, Zunlei Feng, Mingli Song:
Disassembling Convolutional Segmentation Network. Int. J. Comput. Vis. 131(7): 1741-1760 (2023) - 2022
- [j1]Penglin Dai, Kaiwen Hu, Xiao Wu, Huanlai Xing, Fei Teng, Zhaofei Yu:
A Probabilistic Approach for Cooperative Computation Offloading in MEC-Assisted Vehicular Networks. IEEE Trans. Intell. Transp. Syst. 23(2): 899-911 (2022)
Conference and Workshop Papers
- 2023
- [c5]Zhijie Jia, Lin Chen, Kaiwen Hu, Lechao Cheng, Zunlei Feng, Mingli Song:
Model Doctor for Diagnosing and Treating Segmentation Error. ICIP 2023: 1105-1109 - 2022
- [c4]Kaiwen Hu, Shengxuming Zhang, Zhijie Jia, Lechao Cheng, Zunlei Feng:
Cell Segmenter: A General Framework for Multi-modality Cell Segmentation. Cell Segmentation Challenge @ NeurIPS 2022: 1-12 - 2021
- [c3]Penglin Dai, Kaiwen Hu, Xiao Wu, Huanlai Xing, Zhaofei Yu:
Asynchronous Deep Reinforcement Learning for Data-Driven Task Offloading in MEC-Empowered Vehicular Networks. INFOCOM 2021: 1-10 - 2016
- [c2]Zhun Fan, Wenji Li, Xinye Cai, Kaiwen Hu, Huibiao Lin, Hui Li:
Angle-based constrained dominance principle in MOEA/D for constrained multi-objective optimization problems. CEC 2016: 460-467 - [c1]Zhun Fan, Kaiwen Hu, Fang Li, Yibiao Rong, Wenji Li, Huibiao Lin:
Multi-objective evolutionary algorithms embedded with machine learning - A survey. CEC 2016: 1262-1266
Informal and Other Publications
- 2023
- [i4]Zhijie Jia, Lin Chen, Kaiwen Hu, Lechao Cheng, Zunlei Feng, Mingli Song:
Model Doctor for Diagnosing and Treating Segmentation Error. CoRR abs/2302.08980 (2023) - 2022
- [i3]Zhuo Chen, Di Luo, Kaiwen Hu, Bryan K. Clark:
Simulating 2+1D Lattice Quantum Electrodynamics at Finite Density with Neural Flow Wavefunctions. CoRR abs/2212.06835 (2022) - 2021
- [i2]Di Luo, Zhuo Chen, Kaiwen Hu, Zhizhen Zhao, Vera Mikyoung Hur, Bryan K. Clark:
Gauge Invariant Autoregressive Neural Networks for Quantum Lattice Models. CoRR abs/2101.07243 (2021) - 2016
- [i1]Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Kaiwen Hu, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman:
Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit. CoRR abs/1612.07603 (2016)
Coauthor Index
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