Multi-objective evolutionary algorithms embedded with machine learning - A survey. - Zhun Fan; Kaiwen Hu; Fang Li; Yibiao Rong; Wenji Li; Huibiao Lin (CEC, 2016)

Angle-based constrained dominance principle in MOEA/D for constrained multi-objective optimization problems. - Zhun Fan; Wenji Li; Xinye Cai; Kaiwen Hu; Huibiao Lin; Hui Li 020 (CEC, 2016)

Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit. - Zhun Fan; Wenji Li; Xinye Cai; Hui Li 020; Kaiwen Hu; Qingfu Zhang 001; Kalyanmoy Deb; Erik D. Goodman (CoRR, 2016)

Asynchronous Deep Reinforcement Learning for Data-Driven Task Offloading in MEC-Empowered Vehicular Networks. - Penglin Dai; Kaiwen Hu; Xiao Wu 001; Huanlai Xing; Zhaofei Yu (INFOCOM, 2021)

Gauge Invariant Autoregressive Neural Networks for Quantum Lattice Models. - Di Luo; Zhuo Chen; Kaiwen Hu; Zhizhen Zhao 001; Vera Mikyoung Hur; Bryan K. Clark (CoRR, 2021)

Cell Segmenter: A General Framework for Multi-modality Cell Segmentation. - Kaiwen Hu; Shengxuming Zhang; Zhijie Jia; Lechao Cheng; Zunlei Feng (Cell Segmentation Challenge @ NeurIPS, 2022)

Simulating 2+1D Lattice Quantum Electrodynamics at Finite Density with Neural Flow Wavefunctions. - Zhuo Chen; Di Luo; Kaiwen Hu; Bryan K. Clark (CoRR, 2022)

A Probabilistic Approach for Cooperative Computation Offloading in MEC-Assisted Vehicular Networks. - Penglin Dai; Kaiwen Hu; Xiao Wu 001; Huanlai Xing; Fei Teng 001; Zhaofei Yu (IEEE Trans. Intell. Transp. Syst., 2022)

Model Doctor for Diagnosing and Treating Segmentation Error. - Zhijie Jia; Lin Chen; Kaiwen Hu; Lechao Cheng; Zunlei Feng; Mingli Song (ICIP, 2023)

Disassembling Convolutional Segmentation Network. - Kaiwen Hu; Jing Gao; Fangyuan Mao; Xinhui Song; Lechao Cheng; Zunlei Feng; Mingli Song (Int. J. Comput. Vis., 2023)

Design, Modelling and Experiment of a Spatial Multi-locomotion Tensegrity Mobile Robot. - Kaiwen Hu; Qi Yang; Binbin Lian; Yimin Song; Tao Sun 004 (ICIRA (1), 2024)

Understanding the Role of Equivariance in Self-supervised Learning. - Yifei Wang 001; Kaiwen Hu; Sharut Gupta; Ziyu Ye; Yisen Wang 001; Stefanie Jegelka (NeurIPS, 2024)

Meta Reinforcement Learning for Multi-Task Offloading in Vehicular Edge Computing. - Penglin Dai; Yaorong Huang; Kaiwen Hu; Xiao Wu 001; Huanlai Xing; Zhaofei Yu (IEEE Trans. Mob. Comput., 2024)

Projection Head is Secretly an Information Bottleneck. - Zhuo Ouyang; Kaiwen Hu; Qi Zhang 067; Yifei Wang 001; Yisen Wang 001 (ICLR, 2025)