| Learning from history and present: Next-item recommendation via discriminatively exploiting user behaviors Z Li, H Zhao, Q Liu, Z Huang, T Mei, E Chen Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 242 | 2018 |
| MMEA: entity alignment for multi-modal knowledge graph L Chen, Z Li, Y Wang, T Xu, Z Wang, E Chen Knowledge Science, Engineering and Management: 13th International Conference …, 2020 | 107 | 2020 |
| Explainable fashion recommendation: A semantic attribute region guided approach M Hou, L Wu, E Chen, Z Li, VW Zheng, Q Liu arXiv preprint arXiv:1905.12862, 2019 | 97 | 2019 |
| Multi-modal siamese network for entity alignment L Chen, Z Li, T Xu, H Wu, Z Wang, NJ Yuan, E Chen Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 83 | 2022 |
| Prospects for multi-agent collaboration and gaming: challenge, technology, and application Y Liu, Z Li, Z Jiang, Y He Frontiers of Information Technology & Electronic Engineering 23 (7), 1002-1009, 2022 | 52 | 2022 |
| Adaptive normalization for non-stationary time series forecasting: A temporal slice perspective Z Liu, M Cheng, Z Li, Z Huang, Q Liu, Y Xie, E Chen Advances in Neural Information Processing Systems 36, 2024 | 44 | 2024 |
| Fully adaptive framework: Neural computerized adaptive testing for online education Y Zhuang, Q Liu, Z Huang, Z Li, S Shen, H Ma Proceedings of the AAAI conference on artificial intelligence 36 (4), 4734-4742, 2022 | 44 | 2022 |
| Stock trend prediction with multi-granularity data: A contrastive learning approach with adaptive fusion M Hou, C Xu, Y Liu, W Liu, J Bian, L Wu, Z Li, E Chen, TY Liu Proceedings of the 30th ACM International Conference on Information …, 2021 | 39 | 2021 |
| Formertime: Hierarchical multi-scale representations for multivariate time series classification M Cheng, Q Liu, Z Liu, Z Li, Y Luo, E Chen Proceedings of the ACM Web Conference 2023, 1437-1445, 2023 | 37 | 2023 |
| Learning the compositional visual coherence for complementary recommendations Z Li, B Wu, Q Liu, L Wu, H Zhao, T Mei arXiv preprint arXiv:2006.04380, 2020 | 37 | 2020 |
| Multimodal dialogue systems via capturing context-aware dependencies of semantic elements W He, Z Li, D Lu, E Chen, T Xu, B Huai, J Yuan Proceedings of the 28th ACM international conference on multimedia, 2755-2764, 2020 | 34 | 2020 |
| Multi-granularity residual learning with confidence estimation for time series prediction M Hou, C Xu, Z Li, Y Liu, W Liu, E Chen, J Bian Proceedings of the ACM Web Conference 2022, 112-121, 2022 | 28 | 2022 |
| Guesr: A global unsupervised data-enhancement with bucket-cluster sampling for sequential recommendation Y Han, L Wu, H Wang, G Wang, M Zhang, Z Li, D Lian, E Chen International Conference on Database Systems for Advanced Applications, 286-296, 2023 | 23 | 2023 |
| Learning recommender systems with implicit feedback via soft target enhancement M Cheng, F Yuan, Q Liu, S Ge, Z Li, R Yu, D Lian, S Yuan, E Chen Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 23 | 2021 |
| Estimating early fundraising performance of innovations via graph-based market environment model L Wu, Z Li, H Zhao, Z Pan, Q Liu, E Chen Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6396-6403, 2020 | 22 | 2020 |
| Convtimenet: A deep hierarchical fully convolutional model for multivariate time series analysis M Cheng, J Yang, T Pan, Q Liu, Z Li arXiv preprint arXiv:2403.01493, 2024 | 20 | 2024 |
| Entity summarization via exploiting description complementarity and salience L Chen, Z Li, W He, G Cheng, T Xu, NJ Yuan, E Chen IEEE Transactions on Neural Networks and Learning Systems 34 (11), 8297-8309, 2022 | 20 | 2022 |
| Estimating fund-raising performance for start-up projects from a market graph perspective L Wu, Z Li, H Zhao, Q Liu, E Chen Pattern Recognition 121, 108204, 2022 | 19 | 2022 |
| Learning the implicit semantic representation on graph-structured data L Wu, Z Li, H Zhao, Q Liu, J Wang, M Zhang, E Chen Database Systems for Advanced Applications: 26th International Conference …, 2021 | 19 | 2021 |
| Learning the explainable semantic relations via unified graph topic-disentangled neural networks L Wu, H Zhao, Z Li, Z Huang, Q Liu, E Chen ACM Transactions on Knowledge Discovery from Data 17 (8), 1-23, 2023 | 17 | 2023 |
Enhong ChenUniversity of Science and Technology of ChinaEmail verificata su ustc.edu.cn