Kaiwen Hu

According to our database, Kaiwen Hu authored at least 11 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Meta Reinforcement Learning for Multi-Task Offloading in Vehicular Edge Computing.

Penglin Dai, Yaorong Huang, Kaiwen Hu, Xiao Wu, Huanlai Xing, Zhaofei Yu

IEEE Trans. Mob. Comput., March, 2024

2023

Disassembling Convolutional Segmentation Network.

Kaiwen Hu, Jing Gao, Fangyuan Mao, Xinhui Song, Lechao Cheng, Zunlei Feng, Mingli Song

Int. J. Comput. Vis., July, 2023

Model Doctor for Diagnosing and Treating Segmentation Error.

Zhijie Jia, Lin Chen, Kaiwen Hu, Lechao Cheng, Zunlei Feng, Mingli Song

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

A Probabilistic Approach for Cooperative Computation Offloading in MEC-Assisted Vehicular Networks.

Penglin Dai, Kaiwen Hu, Xiao Wu, Huanlai Xing, Fei Teng, Zhaofei Yu

IEEE Trans. Intell. Transp. Syst., 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

Cell Segmenter: A General Framework for Multi-modality Cell Segmentation.

Kaiwen Hu, Shengxuming Zhang, Zhijie Jia, Lechao Cheng, Zunlei Feng

Proceedings of The Cell Segmentation Challenge in Multi-modality High-Resolution Microscopy Images, 2022

2021

Gauge Invariant Autoregressive Neural Networks for Quantum Lattice Models.

Di Luo, Zhuo Chen, Kaiwen Hu, Zhizhen Zhao, Vera Mikyoung Hur, Bryan K. Clark

CoRR, 2021

Asynchronous Deep Reinforcement Learning for Data-Driven Task Offloading in MEC-Empowered Vehicular Networks.

Penglin Dai, Kaiwen Hu, Xiao Wu, Huanlai Xing, Zhaofei Yu

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2016

Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit.

Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Kaiwen Hu, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman

CoRR, 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

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Multi-objective evolutionary algorithms embedded with machine learning - A survey.

Zhun Fan, Kaiwen Hu, Fang Li, Yibiao Rong, Wenji Li, Huibiao Lin

Proceedings of the IEEE Congress on Evolutionary Computation, 2016