| Towards deeper graph neural networks with differentiable group normalization K Zhou, X Huang, Y Li, D Zha, R Chen, X Hu NeurIPS, 2020 | 61 | 2020 |
| Experience replay optimization D Zha, KH Lai, K Zhou, X Hu IJCAI, 2019 | 59 | 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 | 36 | 2020 |
| Chaos: An SDN-based moving target defense system Y Shi, H Zhang, J Wang, F Xiao, J Huang, D Zha, H Hu, F Yan, B Zhao Security and Communication Networks 2017, 2017 | 26 | 2017 |
| Dual policy distillation KH Lai, D Zha, Y Li, X Hu IJCAI, 2020 | 24 | 2020 |
| RLCard: A Platform for Reinforcement Learning in Card Games. D Zha, KH Lai, S Huang, Y Cao, K Reddy, J Vargas, A Nguyen, R Wei, ... IJCAI, 5264-5266, 2020 | 23* | 2020 |
| Multi-label dataless text classification with topic modeling D Zha, C Li Knowledge and Information Systems 61 (1), 137-160, 2019 | 22 | 2019 |
| DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning D Zha, J Xie, W Ma, S Zhang, X Lian, X Hu, J Liu ICML, 2021 | 20 | 2021 |
| Revisiting Time Series Outlier Detection: Definitions and Benchmarks KH Lai, D Zha, J Xu, Y Zhao, G Wang, X Hu NeurIPS, 2021 | 20 | 2021 |
| Pyodds: An end-to-end outlier detection system with automated machine learning Y Li, D Zha, P Venugopal, N Zou, X Hu Companion Proceedings of the Web Conference 2020, 153-157, 2020 | 20 | 2020 |
| Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning D Zha, KH Lai, M Wan, X Hu 2020 IEEE International Conference on Data Mining (ICDM), 771-780, 2020 | 19 | 2020 |
| TODS: An Automated Time Series Outlier Detection System KH Lai, D Zha, G Wang, J Xu, Y Zhao, D Kumar, Y Chen, P Zumkhawaka, ... AAAI, 2020 | 19 | 2020 |
| Multi-channel graph neural networks K Zhou, Q Song, X Huang, D Zha, N Zou, X Hu International Joint Conferences on Artificial Intelligence, 2020 | 18* | 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, 2021 | 14 | 2021 |
| 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 | 11* | 2021 |
| Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments D Zha, W Ma, L Yuan, X Hu, J Liu ICLR, 2021 | 10 | 2021 |
| In-Processing Modeling Techniques for Machine Learning Fairness: A Survey M Wan, D Zha, N Liu, N Zou ACM Transactions on Knowledge Discovery from Data (TKDD), 2022 | 7* | 2022 |
| Simplifying Deep Reinforcement Learning via Self-Supervision D Zha, KH Lai, K Zhou, X Hu arXiv preprint arXiv:2106.05526, 2021 | 5 | 2021 |
| Pyodds: An end-to-end outlier detection system Y Li, D Zha, N Zou, X Hu arXiv preprint arXiv:1910.02575, 2019 | 5 | 2019 |
| Interpretable Time-series Representation Learning With Multi-Level Disentanglement Y Li, Z Chen, D Zha, M Du, D Zhang, H Chen, X Hu arXiv preprint arXiv:2105.08179, 2021 | 4* | 2021 |
Xia "Ben" HuAssociate Professor of Computer Science, Rice UniversityVerified email at rice.edu
