| Auto-gnn: Neural architecture search of graph neural networks K Zhou, Q Song, X Huang, X Hu arXiv preprint arXiv:1909.03184, 2019 | 43 | 2019 |
| Experience replay optimization D Zha, KH Lai, K Zhou, X Hu arXiv preprint arXiv:1906.08387, 2019 | 30 | 2019 |
| Towards deeper graph neural networks with differentiable group normalization K Zhou, X Huang, Y Li, D Zha, R Chen, X Hu arXiv preprint arXiv:2006.06972, 2020 | 21 | 2020 |
| 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 | 20 | 2017 |
| Distributed channel allocation and rate control for hybrid FSO/RF vehicular ad hoc networks K Zhou, C Gong, N Wu, Z Xu IEEE/OSA Journal of Optical Communications and Networking 9 (8), 669-681, 2017 | 17 | 2017 |
| 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 | 13 | 2020 |
| 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 | 8 | 2016 |
| Multi-channel graph neural networks K Zhou, Q Song, X Huang, D Zha, N Zou, X Hu International Joint Conferences on Artificial Intelligence, 2020 | 7* | 2020 |
| 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 | 7 | 2017 |
| 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 | 6 | 2020 |
| Detecting Interactions from Neural Networks via Topological Analysis Z Liu, Q Song, K Zhou, TH Wang, Y Shan, X Hu Advances in Neural Information Processing Systems 33, 2020 | 2* | 2020 |
| Enhanced effective SNR prediction for LTE downlink K Zhou, L Zhang, M Jiang 2015 IEEE/CIC International Conference on Communications in China (ICCC), 1-6, 2015 | 2 | 2015 |
| Dirichlet Energy Constrained Learning for Deep Graph Neural Networks K Zhou, X Huang, D Zha, R Chen, L Li, SH Choi, X Hu arXiv preprint arXiv:2107.02392, 2021 | 1 | 2021 |
| Simplifying Deep Reinforcement Learning via Self-Supervision D Zha, KH Lai, K Zhou, X Hu arXiv preprint arXiv:2106.05526, 2021 | 1 | 2021 |
| Deep neural networks with knowledge instillation F Yang, N Liu, M Du, K Zhou, S Ji, X Hu Proceedings of the 2020 SIAM International Conference on Data Mining, 370-378, 2020 | 1 | 2020 |
| 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 | | 2021 |
| 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 | | 2021 |
| 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 arXiv preprint arXiv:2108.10521, 2021 | | 2021 |
| 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 | | 2021 |
| DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization Z Liu, H Jin, TH Wang, K Zhou, X Hu arXiv preprint arXiv:2103.14545, 2021 | | 2021 |
Xia "Ben" HuAssociate Professor of Computer Science, Rice UniversityVerified email at rice.edu
