| Fine-grained interest matching for neural news recommendation H Wang, F Wu, Z Liu, X Xie Proceedings of the 58th annual meeting of the association for computational …, 2020 | 116 | 2020 |
| Hierarchical Adaptive Temporal-Relational Modeling for Stock Trend Prediction. H Wang, S Li, T Wang, J Zheng IJCAI, 3691-3698, 2021 | 47 | 2021 |
| Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework H Wang, T Wang, Y Li Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 971-978, 2020 | 42 | 2020 |
| Adaptive long-short pattern transformer for stock investment selection H Wang, T Wang, S Li, J Zheng, S Guan, W Chen Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 24 | 2022 |
| Multi-Turn Response Selection in Retrieval-Based Chatbots with Iterated Attentive Convolution Matching Network H Wang, Z Wu, J Chen Proceedings of the 28th ACM International Conference on Information and …, 2019 | 20 | 2019 |
| Heterogeneous Interactive Snapshot Network for Review-Enhanced Stock Profiling and Recommendation H Wang, T Wang, S Li, S Guan, J Zheng, W Chen IJCAI International Joint Conference on Artificial Intelligence, 2021 | 7 | 2021 |
| Neural ctr prediction for native ad M An, F Wu, H Wang, T Di, J Huang, X Xie Chinese Computational Linguistics: 18th China National Conference, CCL 2019 …, 2019 | 7 | 2019 |
| HATR-I: Hierarchical Adaptive Temporal Relational Interaction for Stock Trend Prediction H Wang, T Wang, S Li, S Guan IEEE Transactions on Knowledge and Data Engineering, 2022 | 5 | 2022 |
| The intelligent experience inheritance system for Traditional Chinese Medicine X Ren, Y Guo, H Wang, X Gao, W Chen, T Wang Journal of Evidence‐Based Medicine 16 (1), 91-100, 2023 | 4 | 2023 |
| Individual and structural graph information bottlenecks for out-of-distribution generalization L Yang, J Zheng, H Wang, Z Liu, Z Huang, S Hong, W Zhang, B Cui IEEE Transactions on Knowledge and Data Engineering, 2023 | 3 | 2023 |
| Spatial autoregressive coding for graph neural recommendation J Zheng, L Yang, H Wang, C Yang, Y Li, X Hu, S Hong arXiv preprint arXiv:2205.09489, 2022 | 3 | 2022 |
| Learning Event Logic Graph Knowledge for Credit Risk Forecast Y Wang, J Wang, J Shang, Z Chen, X Ding, H Wang | 1* | |
| Agree to Disagree: Personalized Temporal Embedding and Routing for Stock Forecast H Wang, T Wang, S Li, J Zheng, W Chen, W Chen IEEE Transactions on Knowledge and Data Engineering, 2024 | | 2024 |
| FCDNet: Frequency-Guided Complementary Dependency Modeling for Multivariate Time-Series Forecasting W Chen, H Wang, Y Tian, S Guan, N Liu arXiv preprint arXiv:2312.16450, 2023 | | 2023 |
