| Revisiting time series outlier detection: Definitions and benchmarks KH Lai, D Zha, J Xu, Y Zhao, G Wang, X Hu Thirty-fifth conference on neural information processing systems datasets …, 2021 | 156 | 2021 |
| Fairness via representation neutralization M Du, S Mukherjee, G Wang, R Tang, A Awadallah, X Hu Advances in Neural Information Processing Systems 34, 12091-12103, 2021 | 78 | 2021 |
| 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 | 73 | 2021 |
| A 1Mbps real-time NLOS UV scattering communication system with receiver diversity over 1km G Wang, K Wang, C Gong, D Zou, Z Jiang, Z Xu IEEE Photonics Journal 10 (2), 1-13, 2018 | 60 | 2018 |
| Efficient xai techniques: A taxonomic survey YN Chuang, G Wang, F Yang, Z Liu, X Cai, M Du, X Hu arXiv preprint arXiv:2302.03225, 2023 | 28* | 2023 |
| Signal characterization for multiple access non-line of sight scattering communication G Wang, C Gong, Z Xu IEEE Transactions on Communications 66 (9), 4138-4154, 2018 | 24 | 2018 |
| Cortx: Contrastive framework for real-time explanation YN Chuang, G Wang, F Yang, Q Zhou, P Tripathi, X Cai, X Hu arXiv preprint arXiv:2303.02794, 2023 | 19 | 2023 |
| Accelerating shapley explanation via contributive cooperator selection G Wang, YN Chuang, M Du, F Yang, Q Zhou, P Tripathi, X Cai, X Hu International Conference on Machine Learning, 22576-22590, 2022 | 19* | 2022 |
| Independent skill transfer for deep reinforcement learning Q Tian, G Wang, J Liu, D Wang, Y Kang Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 16 | 2021 |
| Unsupervised discovery of transitional skills for deep reinforcement learning Q Tian, J Liu, G Wang, D Wang 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 13 | 2021 |
| Bed: A real-time object detection system for edge devices G Wang, ZP Bhat, Z Jiang, YW Chen, D Zha, AC Reyes, A Niktash, ... Proceedings of the 31st ACM International Conference on Information …, 2022 | 12 | 2022 |
| Weight perturbation can help fairness under distribution shift Z Jiang, X Han, H Jin, G Wang, N Zou, X Hu arXiv preprint arXiv:2303.03300, 2023 | 10 | 2023 |
| Winner-take-all column row sampling for memory efficient adaptation of language model Z Liu, G Wang, SH Zhong, Z Xu, D Zha, RR Tang, ZS Jiang, K Zhou, ... Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
| Mitigating algorithmic bias with limited annotations G Wang, M Du, N Liu, N Zou, X Hu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 9 | 2023 |
| Signal detection and achievable rates for multiple access optical wireless scattering communication G Wang, C Gong, Z Xu GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017 | 7 | 2017 |
| Chasing fairness under distribution shift: a model weight perturbation approach ZS Jiang, X Han, H Jin, G Wang, R Chen, N Zou, X Hu Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
| DiscoverPath: A knowledge refinement and retrieval system for interdisciplinarity on biomedical research YN Chuang, G Wang, CY Chang, KH Lai, D Zha, R Tang, F Yang, ... Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 5 | 2023 |
| Efficient gnn explanation via learning removal-based attribution Y Rong, G Wang, Q Feng, N Liu, Z Liu, E Kasneci, X Hu arXiv preprint arXiv:2306.05760, 2023 | 5 | 2023 |
| On the achievable rate and capacity for a sample-based practical photon-counting receiver Z Jiang, C Gong, G Wang, Z Xu IEEE Transactions on Communications 69 (9), 6152-6169, 2021 | 5 | 2021 |
| Dispel: Domain generalization via domain-specific liberating CY Chang, YN Chuang, G Wang, M Du, Z Na arXiv preprint arXiv:2307.07181, 2023 | 4 | 2023 |
Xia "Ben" HuAssociate Professor of Computer Science, Rice University在 rice.edu 的电子邮件经过验证
