| Auto-gnn: Neural architecture search of graph neural networks K Zhou, Q Song, X Huang, X Hu arXiv preprint arXiv:1909.03184, 2019 | 103 | 2019 |
| 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 | 100 | 2020 |
| Experience replay optimization D Zha, KH Lai, K Zhou, X Hu arXiv preprint arXiv:1906.08387, 2019 | 83 | 2019 |
| 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 | 49 | 2020 |
| 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 | 36* | 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 | 27* | 2021 |
| 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 | 25 | 2017 |
| 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 | 24 | 2021 |
| 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 | 24 | 2017 |
| 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 | 20 | 2022 |
| 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 | 19 | 2021 |
| 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 | 13 | 2020 |
| 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 | 12 | 2021 |
| 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 | 11 | 2016 |
| Simplifying deep reinforcement learning via self-supervision D Zha, KH Lai, K Zhou, X Hu arXiv preprint arXiv:2106.05526, 2021 | 9 | 2021 |
| Orthogonal graph neural networks K Guo, K Zhou, X Hu, Y Li, Y Chang, X Wang Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 3996-4004, 2022 | 8 | 2022 |
| 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 | 8 | 2017 |
| 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, 2022 | 7 | 2022 |
| 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 33 (6), 2365-2377, 2021 | 7 | 2021 |
| 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 | 7 | 2021 |
Xia "Ben" HuAssociate Professor of Computer Science, Rice UniversityVerified email at rice.edu
