| Experience replay optimization D Zha, KH Lai, K Zhou, X Hu Proceedings of the Twenty-Eighth International Joint Conference on …, 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 |
| 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), 2021 | 44 | 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, 2019 | 34 | 2019 |
| TODS: An Automated Time Series Outlier Detection System KH Lai, D Zha, G Wang, J Xu, Y Zhao, D Kumar, Y Chen, P Zumkhawaka, ... Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2020 | 33 | 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), 2020 | 33 | 2020 |
| Dual Policy Distillation KH Lai, D Zha, Y Li, X Hu Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020 | 27 | 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, ... Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 0 | 14* | |
| Simplifying deep reinforcement learning via self-supervision D Zha, KH Lai, K Zhou, X Hu arXiv preprint arXiv:2106.05526, 2021 | 9 | 2021 |
| 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 | 5 | 2022 |
| 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 | 5 | 2021 |
| Representation Learning for Image-based Music Recommendation CC Hsia, KH Lai, Y Chen, CJ Wang, MF Tsai Recsys'18 Poster, 2018 | 4 | 2018 |
| Dreamshard: Generalizable embedding table placement for recommender systems D Zha, L Feng, Q Tan, Z Liu, KH Lai, B Bhushanam, Y Tian, A Kejariwal, ... arXiv preprint arXiv:2210.02023, 2022 | 3 | 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 | 2 | 2022 |
| NavWalker: Information augmented network embedding KH Lai, CM Chen, MF Tsai, CJ Wang 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 9-16, 2018 | 2 | 2018 |
| 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 | 1 | 2022 |
| Data-centric AI: Perspectives and Challenges D Zha, ZP Bhat, KH Lai, F Yang, X Hu arXiv preprint arXiv:2301.04819, 2023 | | 2023 |
| 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 | | 2022 |
| Superhighway: Bypass Data Sparsity in Cross-Domain CF KH Lai, TH Wang, HY Chi, Y Chen, MF Tsai, CJ Wang Recsys'18 Poster, 2018 | | 2018 |
Xia "Ben" HuAssociate Professor of Computer Science, Rice UniversityPotvrđena adresa e-pošte na rice.edu
