| Structural Entropy Guided Graph Hierarchical Pooling J Wu, X Chen, K Xu, S Li 2022 International Conference on Machine Learning (ICML), 2022 | 89 | 2022 |
| 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 | 61 | 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 | 34 | 2022 |
| HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification H Zhu, C Zhang, J Huang, J Wu*, K Xu 2023 ACL, 2023 | 26 | 2023 |
| A Simple yet Effective Method for Graph Classification J Wu, S Li, J Li, Y Pan, K Xu 2022 IJCAI (Long Oral), 2022 | 24 | 2022 |
| 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 | 23 | 2023 |
| Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection J Zhu, S Cai, F Deng, BC Ooi, J Wu 2024 ACM Multimedia(Oral), Proceedings of the 32nd ACM International …, 2024 | 15 | 2024 |
| Predicting long-term returns of individual stocks with online reviews J Wu, K Xu, J Zhao Neurocomputing 417, 406-418, 2020 | 13* | 2020 |
| Hierarchical information matters: Text classification via tree based graph neural network C Zhang, H Zhu, X Peng, J Wu*, K Xu* 2022 COLING (Oral), Proceedings of the 29th International Conference on …, 2022 | 12 | 2022 |
| 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 NAACL, Annual Conference of the North American Chapter of the …, 2024 | 4 | 2024 |
| NC2D: Novel Class Discovery for Node Classification Y Hou, X Chen, H Zhu, R Liu, B Shi, J Liu, J Wu*, K Xu 2024 CIKM, Proceedings of the 33rd ACM International Conference on …, 2024 | 2 | 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 | 2 | 2021 |
| VRDistill: Vote Refinement Distillation for Efficient Indoor 3D Object Detection Z Yuan, J Guo, D An, J Wu, H Zhu, J Li, X Chen, K Xu, J Liu 2024 ACM Multimedia, Proceedings of the 32nd ACM International Conference on …, 2024 | 1 | 2024 |
| Uncovering Capabilities of Model Pruning in Graph Contrastive Learning J Wu, X Chen, S Li 2024 ACM Multimedia, Proceedings of the 32nd ACM International Conference on …, 2024 | 1* | 2024 |
| Deep Learning Model for Automated Detection and Classification of Degenerative Cord Signal Abnormality, Spinal Canal and Neural Foraminal Stenosis on Cervical Spine Magnetic … A Lee, J Wu^, C Liu, YJ Lee, JH Tan, J Huang, N Kumar, BC Ooi, ... Seminars in Musculoskeletal Radiology 28 (S 01), A132, 2024 | 1 | 2024 |
| ChartNet: Reducing Subjectivity in Stock Prediction Through Unified Technical Chart Representation S Li, Y Liu, F Cheng, J Wu*, K Xu Expert Systems 42 (3), e13841, 2025 | | 2025 |
| Molecular Graph Contrastive Learning with Line Graph X Chen, S Li, R Liu, B Shi, J Liu, J Wu*, K Xu Pattern Recognition, 111380, 2025 | | 2025 |
| Rumor Detection on Social Media with Temporal Propagation Structure Optimization X Peng, J Wu*, R Liu, K Xu COLING 2025, Proceedings of the 31st International Conference on …, 2024 | | 2024 |
| IPM: Information Lossless Pre-training Strategy for Molecular Property Prediction R Liu, S Li, H Zhu, Y Hou, X Peng, H Yuan, J Wu*, K Xu 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2024 | | 2024 |
| Deep learning model for automated diagnosis of degenerative cervical spondylosis and altered spinal cord signal on MRI A Lee, J Wu^, C Liu, A Makmur, YH Ting, FEM Nor, LY Tan, W Ong, ... The Spine Journal, 2024 | | 2024 |