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Yibo Zhou
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2020 – today
- 2024
- [j6]Weiqing Lu, Hai-Miao Hu, Jinzuo Yu, Yibo Zhou, Hanzi Wang, Bo Li:
Orientation-Aware Pedestrian Attribute Recognition Based on Graph Convolution Network. IEEE Trans. Multim. 26: 28-40 (2024) - [c6]Yibo Zhou, Hai-Miao Hu, Yirong Xiang, Xiaokang Zhang, Haotian Wu:
Pedestrian Attribute Recognition as Label-balanced Multi-label Learning. ICML 2024 - [i5]Yibo Zhou, Hai-Miao Hu, Yirong Xiang, Xiaokang Zhang, Haotian Wu:
Pedestrian Attribute Recognition as Label-balanced Multi-label Learning. CoRR abs/2405.04858 (2024) - 2023
- [j5]Yanqiu Li, Yibo Zhou, Lushuai Zhu:
Hopf bifurcation in a spatial heterogeneous and nonlocal delayed reaction-diffusion equation. Commun. Nonlinear Sci. Numer. Simul. 119: 107098 (2023) - [j4]Xiaojun Wu, Yibo Zhou, Daolong Wu, Haitao Xiao, Yaya Lu, Hanbing Li:
Improved Deep Residual Shrinkage Network for Intelligent Interference Recognition with Unknown Interference. Sensors 23(18): 7909 (2023) - [c5]Yibo Zhou, Huabiao Qin, Guancheng Chen:
Intelligent Task Scheduling for Multi-Core Processors Based on Graph Neural Networks and Deep Reinforcement Learning. ICAICE 2023: 875-880 - [c4]Yibo Zhou, Hai-Miao Hu, Jinzuo Yu, Zhenbo Xu, Weiqing Lu, Yuran Cao:
A Solution to Co-occurence Bias: Attributes Disentanglement via Mutual Information Minimization for Pedestrian Attribute Recognition. IJCAI 2023: 1831-1839 - [i4]Yibo Zhou, Dongfei Cui, Xiangming Dong, Zongkai Wu, Zhenyu Wei, Donglin Wang:
BVIP Guiding System with Adaptability to Individual Differences. CoRR abs/2304.07494 (2023) - [i3]Yibo Zhou, Hai-Miao Hu, Jinzuo Yu, Zhenbo Xu, Weiqing Lu, Yuran Cao:
A Solution to Co-occurrence Bias: Attributes Disentanglement via Mutual Information Minimization for Pedestrian Attribute Recognition. CoRR abs/2307.15252 (2023) - 2022
- [c3]Yibo Zhou:
Rethinking Reconstruction Autoencoder-Based Out-of-Distribution Detection. CVPR 2022: 7369-7377 - [c2]Haoxiang Jie, Yibo Zhou, Zuotao Ning, Qixi Zhao, Lifeng Liu, Jun Hu:
DyLESC: A Dynamic LiDAR Extrinsic Self-Calibration Method for Intelligent Driving Vehicles. ICITE 2022: 185-190 - [i2]Yibo Zhou:
Rethinking Reconstruction Autoencoder-Based Out-of-Distribution Detection. CoRR abs/2203.02194 (2022) - 2020
- [j3]Fengxiao Tang, Yibo Zhou, Nei Kato:
Deep Reinforcement Learning for Dynamic Uplink/Downlink Resource Allocation in High Mobility 5G HetNet. IEEE J. Sel. Areas Commun. 38(12): 2773-2782 (2020) - [j2]Yibo Zhou, Fengxiao Tang, Yuichi Kawamoto, Nei Kato:
Reinforcement Learning-Based Radio Resource Control in 5G Vehicular Network. IEEE Wirel. Commun. Lett. 9(5): 611-614 (2020)
2010 – 2019
- 2018
- [j1]Yibo Zhou, Zubair Md. Fadlullah, Bomin Mao, Nei Kato:
A Deep-Learning-Based Radio Resource Assignment Technique for 5G Ultra Dense Networks. IEEE Netw. 32(6): 28-34 (2018) - 2014
- [i1]Dan Hassin, Adam Scrivener, Yibo Zhou:
Critique of J. Kim's "P is not equal to NP by Modus Tollens". CoRR abs/1404.5352 (2014)
2000 – 2009
- 2009
- [c1]Yibo Zhou, Behnam Shahrrava:
Effect of SNR mismatch on the performance of turbo decoding algorithms. EIT 2009: 15-18
Coauthor Index
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