| Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective K Wang, Y Liang, P Wang, X Wang, P Gu, J Fang, Y Wang The Eleventh International Conference on Learning Representations (ICLR 2023), 2022 | 21 | 2022 |
| Deciphering spatio-temporal graph forecasting: A causal lens and treatment Y Xia, Y Liang, H Wen, X Liu, K Wang, Z Zhou, R Zimmermann Conference on Neural Information Processing Systems (Neurips 2023), 2023 | 17 | 2023 |
| Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning Z Zhou, Q Huang, K Yang, K Wang, X Wang, Y Zhang, Y Liang, Y Wang KDD 2023, 2023 | 14 | 2023 |
| Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets K Wang, Y Liang, X Li, G Li, B Ghanem, R Zimmermann, H Yi, Y Zhang, ... IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2023), 2023 | 12 | 2023 |
| Practical synthetic human trajectories generation based on variational point processes Q Long, H Wang, T Li, L Huang, K Wang, Q Wu, G Li, Y Liang, L Yu, Y Li Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 12 | 2023 |
| Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model H Wu, S Wang, Y Liang, Z Zhou, W Huang, W Xiong, K Wang (* corresponding author) AAAI 2024, 2024 | 8 | 2024 |
| A2DJP: A two graph-based component fused learning framework for urban anomaly distribution and duration joint-prediction K Wang, Z Zhou, X Wang, P Wang, Q Fang, Y Wang IEEE Transactions on Knowledge and Data Engineering (TKDE 2022), 2022 | 8 | 2022 |
| The snowflake hypothesis: Training deep GNN with one node one receptive field K Wang, G Li, S Wang, G Zhang, K Wang, Y You, X Peng, Y Liang, ... arXiv preprint arXiv:2308.10051, 2023 | 7 | 2023 |
| Estimation of urban travel time with sparse traffic surveillance data K Shao, K Wang, L Chen, Z Zhou Proceedings of the 2020 4th high performance computing and cluster …, 2020 | 6 | 2020 |
| Modeling spatio-temporal dynamical systems with neural discrete learning and levels-of-experts K Wang, H Wu, G Zhang, J Fang, Y Liang, Y Wu, R Zimmermann, Y Wang IEEE Transactions on Knowledge and Data Engineering, 2024 | 5 | 2024 |
| Attend who is weak: Enhancing graph condensation via cross-free adversarial training X Li, K Wang, H Deng, Y Liang, D Wu (* Corresponding author) arXiv preprint arXiv:2311.15772, 2023 | 5 | 2023 |
| Moltc: Towards molecular relational modeling in language models J Fang, S Zhang, C Wu, Z Liu, S Li, K Wang, W Du, X Wang, X He arXiv preprint arXiv:2402.03781, 2024 | 4 | 2024 |
| Exgc: Bridging efficiency and explainability in graph condensation J Fang, X Li, Y Sui, Y Gao, G Zhang, K Wang, X Wang, X He (corresponding author) arXiv preprint arXiv:2402.05962, 2024 | 3 | 2024 |
| Two heads are better than one: Boosting graph sparse training via semantic and topological awareness G Zhang, Y Yue, K Wang, J Fang, Y Sui, K Wang, Y Liang, D Cheng, ... arXiv preprint arXiv:2402.01242, 2024 | 3 | 2024 |
| Spatio-temporal Twins with A Cache for Modeling Long-term System Dynamics H Wu, K Wang, F Xu, Y Li, X Wang, W Wang, H Wang, X Luo | 3 | 2023 |
| Spatio-temporal fluid dynamics modeling via physical-awareness and parameter diffusion guidance H Wu, F Xu, Y Duan, Z Niu, W Wang, G Lu, K Wang, Y Liang, Y Wang arXiv preprint arXiv:2403.13850, 2024 | 2 | 2024 |
| SMG-BERT: integrating stereoscopic information and chemical representation for molecular property prediction J Zhang, W Du, X Yang, D Wu, J Li, K Wang, Y Wang Frontiers in Molecular Biosciences 10, 2023 | 2 | 2023 |
| UrbanVLP: A Multi-Granularity Vision-Language Pre-Trained Foundation Model for Urban Indicator Prediction X Hao, W Chen, Y Yan, S Zhong, K Wang, Q Wen, Y Liang arXiv preprint arXiv:2403.16831, 2024 | 1 | 2024 |
| DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting H Wu, H Wen, G Zhang, Y Xia, K Wang, Y Liang, Y Zheng, K Wang arXiv preprint arXiv:2403.02914, 2024 | 1 | 2024 |
| Two Trades is not Baffled: Condense Graph via Crafting Rational Gradient Matching T Zhang, Y Zhang, K Wang, K Wang, B Yang, K Zhang, W Shao, P Liu, ... arXiv preprint arXiv:2402.04924, 2024 | 1 | 2024 |
Yuxuan LiangAssistant Professor, Hong Kong University of Science and Technology (Guangzhou)Geverifieerd e-mailadres voor hkust-gz.edu.cn
