| Interpretable pneumonia detection by combining deep learning and explainable models with multisource data H Ren, AB Wong, W Lian, W Cheng, Y Zhang, J He, Q Liu, J Yang, ... Ieee Access 9, 95872-95883, 2021 | 28 | 2021 |
| Demo abstract: An intent solver for enabling intent-based SDN H Zhang, Y Wang, X Qi, W Xu, T Peng, S Liu 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS …, 2017 | 20 | 2017 |
| Faster and safer training by embedding high-level knowledge into deep reinforcement learning H Zhang, Z Gao, Y Zhou, H Zhang, K Wu, F Lin arXiv preprint arXiv:1910.09986, 2019 | 19 | 2019 |
| How Well Do Machines Perform on IQ tests: a Comparison Study on a Large-Scale Dataset. Y Liu, F He, H Zhang, G Rao, Z Feng, Y Zhou IJCAI, 6110-6116, 2019 | 16 | 2019 |
| Deep reinforcement learning-based access control for buffer-aided relaying systems with energy harvesting H Zhang, D Zhan, CJ Zhang, K Wu, Y Liu, S Luo IEEE Access 8, 145006-145017, 2020 | 9 | 2020 |
| Efficient Dialog Policy Learning by Reasoning with Contextual Knowledge H Zhang, Z Zeng, K Lu, K Wu, S Zhang AAAI 2022, 11667-11675, 2022 | 7 | 2022 |
| Exploiting multi-source data for adversarial driving style representation learning Z Liu, J Zheng, Z Gong, H Zhang, K Wu International Conference on Database Systems for Advanced Applications, 491-508, 2021 | 6 | 2021 |
| Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection H Zhang, M Cai, X Zhang, CJ Zhang, R Mao, K Wu arXiv preprint arXiv:2310.05035, 2023 | 3 | 2023 |
| Query-aware quantization for maximum inner product search J Zhang, D Lian, H Zhang, B Wang, E Chen Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4875-4883, 2023 | 3 | 2023 |
| Knowledge-assisted DRL for energy harvesting based multi-access wireless communications S Luo, H Zhang, Q Li, K Wu 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th …, 2021 | 3 | 2021 |
| Irlm: inductive representation learning model for personalized poi recommendation J Chen, M Wang, H Zhang, Z Xu, X Li, Z Gong, K Wu, VCM Leung IEEE Transactions on Computational Social Systems, 2022 | 2 | 2022 |
| Burstiness-aware web search analysis on different levels of evidences C Zhang, H Zhang, Q Li, K Wu, D Jiang, Y Song, P Lin, L Chen IEEE Transactions on Knowledge and Data Engineering 35 (3), 2341-2352, 2021 | 2 | 2021 |
| Where to: Crowd-aided path selection by selective bayesian network C Zhang, H Zhang, W Xie, N Liu, K Wu, L Chen IEEE Transactions on Knowledge and Data Engineering 35 (1), 1072-1087, 2021 | 2 | 2021 |
| Cleaning uncertain data with crowdsourcing-a general model with diverse accuracy rates C Zhang, H Zhang, W Xie, N Liu, Q Li, D Jiang, P Lin, K Wu, L Chen IEEE Transactions on Knowledge and Data Engineering 34 (8), 3629-3642, 2020 | 2 | 2020 |
| Embedding high-level knowledge into dqns to learn faster and more safely Z Gao, F Lin, Y Zhou, H Zhang, K Wu, H Zhang Proceedings of the AAAI Conference on Artificial Intelligence 34 (09), 13608 …, 2020 | 2 | 2020 |
| Characterizing causal action theories and their implementations in answer set programming H Zhang, F Lin Artificial Intelligence 248, 1-8, 2017 | 2 | 2017 |
| Characterizing causal action theories and their implementations in answer set programming: Action languages b, c, and beyond H Zhang, F Lin Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 2 | 2015 |
| Explainable Pulmonary Disease Diagnosis with Prompt-Based Knowledge Extraction H Zhang, C Xu, J Li, P Liang, X Zeng, H Ren, W Cheng, K Wu 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 1 | 2022 |
| Hierarchical Crowdsourcing for Data Labeling with Heterogeneous Crowd H Zhang, W Huang, Z Su, J Chen, D Jiang, L Fan, C Zhang, D Lian, K Wu 2023 IEEE 39th International Conference on Data Engineering (ICDE), 1234-1246, 2023 | | 2023 |
| Knowledge-Enhanced Learning for KG Embedding H Zhang, Z Chen, J Nie, D Jiang, L Fan, K Wu 2022 IEEE 28th International Conference on Parallel and Distributed Systems …, 2023 | | 2023 |
Kaishun WuIEEE Fellow; Professor of Data Science and Analytics/Internet of Things, HKUST(Guangzhou)Verified email at ust.hk
