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Kaixiong Zhou
Kaixiong Zhou
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Title
Cited by
Cited by
Year
Auto-gnn: Neural architecture search of graph neural networks
K Zhou, Q Song, X Huang, X Hu
arXiv preprint arXiv:1909.03184, 2019
882019
Towards deeper graph neural networks with differentiable group normalization
K Zhou, X Huang, Y Li, D Zha, R Chen, X Hu
Advances in neural information processing systems 33, 4917-4928, 2020
712020
Experience replay optimization
D Zha, KH Lai, K Zhou, X Hu
arXiv preprint arXiv:1906.08387, 2019
662019
Policy-gnn: Aggregation optimization for graph neural networks
KH Lai, D Zha, K Zhou, X Hu
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
402020
Color planning and intercell interference coordination for multicolor visible light communication networks
K Zhou, C Gong, Z Xu
Journal of Lightwave Technology 35 (22), 4980-4993, 2017
242017
Distributed channel allocation and rate control for hybrid FSO/RF vehicular ad hoc networks
K Zhou, C Gong, N Wu, Z Xu
Journal of Optical Communications and Networking 9 (8), 669-681, 2017
232017
Dirichlet energy constrained learning for deep graph neural networks
K Zhou, X Huang, D Zha, R Chen, L Li, SH Choi, X Hu
Advances in Neural Information Processing Systems 34, 21834-21846, 2021
20*2021
Multi-channel graph neural networks
K Zhou, Q Song, X Huang, D Zha, N Zou, X Hu
Proceedings of the Twenty-Ninth International Conference on International …, 2021
20*2021
Temporal augmented graph neural networks for session-based recommendations
H Zhou, Q Tan, X Huang, K Zhou, X Wang
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
162021
Bag of tricks for training deeper graph neural networks: A comprehensive benchmark study
T Chen, K Zhou, K Duan, W Zheng, P Wang, X Hu, Z Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
122022
Inter-cell interference coordination for multi-color visible light communication networks
K Zhou, C Gong, Q Gao, Z Xu
2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016
112016
Autood: automated outlier detection via curiosity-guided search and self-imitation learning
Y Li, Z Chen, D Zha, K Zhou, H Jin, H Chen, X Hu
arXiv preprint arXiv:2006.11321, 2020
102020
EXACT: Scalable graph neural networks training via extreme activation compression
Z Liu, K Zhou, F Yang, L Li, R Chen, X Hu
International Conference on Learning Representations, 2021
92021
Design and demonstration of an indoor visible light communication network with dynamic user access and resource allocation
M Zeng, K Zhou, C Gong, S Lou, X Jin, Z Xu
2017 9th International Conference on Wireless Communications and Signal …, 2017
82017
Autood: Neural architecture search for outlier detection
Y Li, Z Chen, D Zha, K Zhou, H Jin, H Chen, X Hu
2021 IEEE 37th International Conference on Data Engineering (ICDE), 2117-2122, 2021
72021
Simplifying deep reinforcement learning via self-supervision
D Zha, KH Lai, K Zhou, X Hu
arXiv preprint arXiv:2106.05526, 2021
62021
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning
Y Li, Z Chen, D Zha, K Zhou, H Jin, H Chen, X Hu
IEEE Transactions on Neural Networks and Learning Systems, 2021
52021
An Information Fusion Approach to Learning with Instance-Dependent Label Noise
Z Jiang, K Zhou, Z Liu, L Li, R Chen, SH Choi, X Hu
International Conference on Learning Representations, 2021
32021
Adaptive Label Smoothing To Regularize Large-Scale Graph Training
K Zhou, N Liu, F Yang, Z Liu, R Chen, L Li, SH Choi, X Hu
arXiv preprint arXiv:2108.13555, 2021
32021
DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization
Z Liu, H Jin, TH Wang, K Zhou, X Hu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
32021
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