| Price graphs: Utilizing the structural information of financial time series for stock prediction J Wu, K Xu, X Chen, S Li, J Zhao Information Sciences 588, 405-424, 2022 | 45 | 2022 |
| Structural Entropy Guided Graph Hierarchical Pooling J Wu, X Chen, K Xu, S Li 2022 International Conference on Machine Learning (ICML), 2022 | 44 | 2022 |
| Chart GCN: Learning chart information with a graph convolutional network for stock movement prediction S Li, J Wu*, X Jiang*, K Xu Knowledge-Based Systems, 108842, 2022 | 16 | 2022 |
| A Simple yet Effective Method for Graph Classification J Wu, S Li, J Li, Y Pan, K Xu 2022 IJCAI (Long Oral), 2022 | 14 | 2022 |
| Predicting long-term returns of individual stocks with online reviews J Wu, K Xu, J Zhao Neurocomputing 417, 406-418, 2020 | 9* | 2020 |
| SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning J Wu, X Chen, B Shi, S Li, K Xu 2023 International Conference on Machine Learning (ICML), 2023 | 7 | 2023 |
| Hierarchical information matters: Text classification via tree based graph neural network C Zhang, H Zhu, X Peng, J Wu*, K Xu* 2022 COLING (Oral), 2022 | 7* | 2022 |
| HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification H Zhu, C Zhang, J Huang, J Wu*, K Xu 2023 ACL, 2023 | 2 | 2023 |
| Do LLMs Understand Visual Anomalies? Uncovering LLM Capabilities in Zero-shot Anomaly Detection J Zhu, S Cai, F Deng, J Wu arXiv preprint arXiv:2404.09654, 2024 | 1 | 2024 |
| Detection of Mutual Exciting Structure in Stock Price Trend Dynamics S Li, X Jiang, J Wu, L Tong, K Xu Entropy 23 (11), 1411, 2021 | 1 | 2021 |
| HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification H Zhu, J Wu^, R Liu, Y Hou, Z Yuan, S Li, Y Pan, K Xu 2024 Annual Conference of the North American Chapter of the Association for …, 2024 | | 2024 |
