Atrank: An attention-based user behavior modeling framework for recommendation C Zhou, J Bai, J Song, X Liu, Z Zhao, X Chen, J Gao Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 338 | 2018 |
Taxogen: Unsupervised topic taxonomy construction by adaptive term embedding and clustering C Zhang, F Tao, X Chen, J Shen, M Jiang, B Sadler, M Vanni, J Han Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 126* | 2018 |
St-norm: Spatial and temporal normalization for multi-variate time series forecasting J Deng, X Chen, R Jiang, X Song, IW Tsang Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 100 | 2021 |
Doc2cube: Allocating documents to text cube without labeled data F Tao, C Zhang, X Chen, M Jiang, T Hanratty, L Kaplan, J Han 2018 IEEE International Conference on Data Mining (ICDM), 1260-1265, 2018 | 40* | 2018 |
Few-Shot Learning for New User Recommendation in Location-based Social Networks R Li, X Wu, X Chen, W Wang Proceedings of The Web Conference 2020, 2472-2478, 2020 | 38 | 2020 |
A multi-view multi-task learning framework for multi-variate time series forecasting J Deng, X Chen, R Jiang, X Song, IW Tsang IEEE Transactions on Knowledge and Data Engineering, 2022 | 26 | 2022 |
The pulse of urban transport: Exploring the co-evolving pattern for spatio-temporal forecasting J Deng, X Chen, Z Fan, R Jiang, X Song, IW Tsang ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (6), 1-25, 2021 | 22* | 2021 |
Hierarchical metadata-aware document categorization under weak supervision Y Zhang, X Chen, Y Meng, J Han Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 22 | 2021 |
COVID-19 surveiller: toward a robust and effective pandemic surveillance system based on social media mining JY Jiang, Y Zhou, X Chen, YR Jhou, L Zhao, S Liu, PC Yang, J Ahmar, ... Philosophical Transactions of the Royal Society A 380 (2214), 20210125, 2022 | 15 | 2022 |
Motifclass: Weakly supervised text classification with higher-order metadata information Y Zhang, S Garg, Y Meng, X Chen, J Han Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 14 | 2022 |
Evaluating audience loyalty and authenticity in influencer marketing via multi-task multi-relational learning S Kim, X Chen, JY Jiang, J Han, W Wang Proceedings of the International AAAI Conference on Web and Social Media 15 …, 2021 | 12 | 2021 |
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation X Chen, Y Zhang, J Deng, JY Jiang, W Wang Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 11 | 2023 |
Bridging language and items for retrieval and recommendation Y Hou, J Li, Z He, A Yan, X Chen, J McAuley arXiv preprint arXiv:2403.03952, 2024 | 6 | 2024 |
Weakly supervised multi-label classification of full-text scientific papers Y Zhang, B Jin, X Chen, Y Shen, Y Zhang, Y Meng, J Han Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 6 | 2023 |
ReLiable: Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games X Chen, JY Jiang, K Jin, Y Zhou, M Liu, PJ Brantingham, W Wang Proceedings of the 31st ACM International Conference on Information …, 2022 | 6 | 2022 |
Language Models As Semantic Indexers B Jin, H Zeng, G Wang, X Chen, T Wei, R Li, Z Wang, Z Li, Y Li, H Lu, ... International Conference on Machine Learning, 2024 | 5 | 2024 |
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting J Deng, X Chen, R Jiang, D Yin, Y Yang, X Song, IW Tsang IEEE Transactions on Knowledge and Data Engineering, 2024 | 5* | 2024 |
TinyLLM: Learning a Small Student from Multiple Large Language Models Y Tian*, Y Han*, X Chen*, W Wang, NV Chawla arXiv preprint arXiv:2402.04616, 2024 | 5 | 2024 |
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering X Chen, JY Jiang, WC Chang, CJ Hsieh, HF Yu, W Wang Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 4 | 2024 |
MemoryLLM: Towards Self-Updatable Large Language Models Y Wang, X Chen, J Shang, J McAuley International Conference on Machine Learning, 2024 | 2 | 2024 |