Kaiwen Hu - RankMe

18 papers A* 3B 3Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Advancing Stress Detection with Chaotic Attractor Informed Synthesis of PPG Signal. BIBM Kaiwen Hu, Sipo Zhang, Xiaowei Zhang, Qiqi Zhao, Guangyuan Gao, Tianzhi Wang, Jian Shen, Bin Hu
2025	A*	`conf`	Projection Head is Secretly an Information Bottleneck. ICLR Zhuo Ouyang, Kaiwen Hu, Qi Zhang, Yifei Wang, Yisen Wang
2025	J	`jnl`	Projection Head is Secretly an Information Bottleneck. CoRR Zhuo Ouyang, Kaiwen Hu, Qi Zhang, Yifei Wang, Yisen Wang
2024	—	`conf`	Design, Modelling and Experiment of a Spatial Multi-locomotion Tensegrity Mobile Robot. ICIRA (1) Kaiwen Hu, Qi Yang, Binbin Lian, Yimin Song, Tao Sun
2024	J	`jnl`	Meta Reinforcement Learning for Multi-Task Offloading in Vehicular Edge Computing. IEEE Trans. Mob. Comput. Penglin Dai, Yaorong Huang, Kaiwen Hu, Xiao Wu, Huanlai Xing, Zhaofei Yu
2024	A*	`conf`	Understanding the Role of Equivariance in Self-supervised Learning. NeurIPS Yifei Wang, Kaiwen Hu, Sharut Gupta, Ziyu Ye, Yisen Wang, Stefanie Jegelka
2024	J	`jnl`	Understanding the Role of Equivariance in Self-supervised Learning. CoRR Yifei Wang, Kaiwen Hu, Sharut Gupta, Ziyu Ye, Yisen Wang, Stefanie Jegelka
2023	J	`jnl`	Disassembling Convolutional Segmentation Network. Int. J. Comput. Vis. Kaiwen Hu, Jing Gao, Fangyuan Mao, Xinhui Song, Lechao Cheng, Zunlei Feng, Mingli Song
2023	B	`conf`	Model Doctor for Diagnosing and Treating Segmentation Error. ICIP Zhijie Jia, Lin Chen, Kaiwen Hu, Lechao Cheng, Zunlei Feng, Mingli Song
2023	J	`jnl`	Model Doctor for Diagnosing and Treating Segmentation Error. CoRR Zhijie Jia, Lin Chen, Kaiwen Hu, Lechao Cheng, Zunlei Feng, Mingli Song
2022	J	`jnl`	A Probabilistic Approach for Cooperative Computation Offloading in MEC-Assisted Vehicular Networks. IEEE Trans. Intell. Transp. Syst. Penglin Dai, Kaiwen Hu, Xiao Wu, Huanlai Xing, Fei Teng, Zhaofei Yu
2022	—	`conf`	Cell Segmenter: A General Framework for Multi-modality Cell Segmentation. Cell Segmentation Challenge @ NeurIPS Kaiwen Hu, Shengxuming Zhang, Zhijie Jia, Lechao Cheng, Zunlei Feng
2022	J	`jnl`	Simulating 2+1D Lattice Quantum Electrodynamics at Finite Density with Neural Flow Wavefunctions. CoRR Zhuo Chen, Di Luo, Kaiwen Hu, Bryan K. Clark
2021	A*	`conf`	Asynchronous Deep Reinforcement Learning for Data-Driven Task Offloading in MEC-Empowered Vehicular Networks. INFOCOM Penglin Dai, Kaiwen Hu, Xiao Wu, Huanlai Xing, Zhaofei Yu
2021	J	`jnl`	Gauge Invariant Autoregressive Neural Networks for Quantum Lattice Models. CoRR Di Luo, Zhuo Chen, Kaiwen Hu, Zhizhen Zhao, Vera Mikyoung Hur, Bryan K. Clark
2016	B	`conf`	Angle-based constrained dominance principle in MOEA/D for constrained multi-objective optimization problems. CEC Zhun Fan, Wenji Li, Xinye Cai, Kaiwen Hu, Huibiao Lin, Hui Li
2016	J	`jnl`	Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit. CoRR Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Kaiwen Hu, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman
2016	B	`conf`	Multi-objective evolutionary algorithms embedded with machine learning - A survey. CEC Zhun Fan, Kaiwen Hu, Fang Li, Yibiao Rong, Wenji Li, Huibiao Lin