| Revisiting Time Series Outlier Detection: Definitions and Benchmarks KH Lai, D Zha, J Xu, Y Zhao, G Wang, X Hu Advances in Neural Information Processing Systems (NeurIPS), Track on …, 2021 | 131 | 2021 |
| Experience replay optimization D Zha, KH Lai, K Zhou, X Hu arXiv preprint arXiv:1906.08387, 2019 | 126 | 2019 |
| 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 | 104 | 2023 |
| 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 | 90 | 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 | 71 | 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, ... Proceedings of the aaai conference on artificial intelligence 35 (18), 16060 …, 2021 | 67 | 2021 |
| Rlcard: A toolkit for reinforcement learning in card games D Zha, KH Lai, Y Cao, S Huang, R Wei, J Guo, X Hu arXiv preprint arXiv:1910.04376, 2019 | 58 | 2019 |
| Dual policy distillation KH Lai, D Zha, Y Li, X Hu arXiv preprint arXiv:2006.04061, 2020 | 49 | 2020 |
| Data-centric ai: Perspectives and challenges D Zha, ZP Bhat, KH Lai, F Yang, X Hu Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 46 | 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 | 27 | 2021 |
| Dreamshard: Generalizable embedding table placement for recommender systems D Zha, L Feng, Q Tan, Z Liu, KH Lai, B Bhushanam, Y Tian, A Kejariwal, ... Advances in Neural Information Processing Systems 35, 15190-15203, 2022 | 22 | 2022 |
| Towards similarity-aware time-series classification D Zha, KH Lai, K Zhou, X Hu Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022 | 22 | 2022 |
| Towards automated imbalanced learning with deep hierarchical reinforcement learning D Zha, KH Lai, Q Tan, S Ding, N Zou, XB Hu Proceedings of the 31st ACM International Conference on Information …, 2022 | 18 | 2022 |
| Simplifying deep reinforcement learning via self-supervision D Zha, KH Lai, K Zhou, X Hu arXiv preprint arXiv:2106.05526, 2021 | 16 | 2021 |
| Autovideo: An automated video action recognition system D Zha, ZP Bhat, YW Chen, Y Wang, S Ding, J Chen, KH Lai, MQ Bhat, ... arXiv preprint arXiv:2108.04212, 2021 | 13 | 2021 |
| Adversarial graph perturbations for recommendations at scale H Chen, K Zhou, KH Lai, X Hu, F Wang, H Yang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 11 | 2022 |
| Mitigating relational bias on knowledge graphs YN Chuang, KH Lai, R Tang, M Du, CY Chang, N Zou, X Hu arXiv preprint arXiv:2211.14489, 2022 | 6 | 2022 |
| Context-aware domain adaptation for time series anomaly detection KH Lai, L Wang, H Chen, K Zhou, F Wang, H Yang, X Hu Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 5 | 2023 |
| Representation learning for image-based music recommendation CC Hsia, KH Lai, Y Chen, CJ Wang, MF Tsai arXiv preprint arXiv:1808.09198, 2018 | 5 | 2018 |
| Towards assumption-free bias mitigation CY Chang, YN Chuang, KH Lai, X Han, X Hu, N Zou arXiv preprint arXiv:2307.04105, 2023 | 4 | 2023 |
Xia "Ben" HuAssociate Professor of Computer Science, Rice UniversityVerified email at rice.edu
