| Towards deeper graph neural networks with differentiable group normalization K Zhou, X Huang, Y Li, D Zha, R Chen, X Hu NeurIPS, 2020 | 188 | 2020 |
| Revisiting Time Series Outlier Detection: Definitions and Benchmarks KH Lai, D Zha, J Xu, Y Zhao, G Wang, X Hu NeurIPS, 2021 | 148 | 2021 |
| Data-centric Artificial Intelligence: A Survey D Zha, ZP Bhat, KH Lai, F Yang, Z Jiang, S Zhong, X Hu arXiv preprint arXiv:2303.10158, 2023 | 143 | 2023 |
| Experience replay optimization D Zha, KH Lai, K Zhou, X Hu IJCAI, 2019 | 130 | 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 | 115 | 2021 |
| 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 | 97 | 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 | 94 | 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 17 (3), 1-27, 2023 | 90 | 2023 |
| 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, ... Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 85* | 2021 |
| 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 | 78 | 2020 |
| TODS: An Automated Time Series Outlier Detection System KH Lai*, D Zha*, G Wang, J Xu, Y Zhao, D Kumar, Y Chen, ... AAAI, 2020 | 72 | 2020 |
| Data-centric AI: Perspectives and Challenges D Zha, ZP Bhat, KH Lai, F Yang, X Hu arXiv preprint arXiv:2301.04819, 2023 | 62 | 2023 |
| 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 | 58* | 2020 |
| Dual policy distillation KH Lai*, D Zha*, Y Li, X Hu IJCAI, 2020 | 54 | 2020 |
| Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments D Zha, W Ma, L Yuan, X Hu, J Liu ICLR, 2021 | 52 | 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 | 48* | 2021 |
| Multi-label dataless text classification with topic modeling D Zha, C Li Knowledge and Information Systems 61, 137-160, 2019 | 48 | 2019 |
| 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 | 43 | 2017 |
| 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 | 42* | 2021 |
| Understanding information seeking in digital libraries: antecedents and consequences X Zha, W Wang, Y Yan, J Zhang, D Zha Aslib Journal of Information Management, 2015 | 41 | 2015 |
Xia "Ben" HuAssociate Professor of Computer Science, Rice University在 rice.edu 的电子邮件经过验证
