| Motif-based graph self-supervised learning for molecular property prediction Z Zhang, Q Liu, H Wang, C Lu, CK Lee Advances in Neural Information Processing Systems 34, 15870-15882, 2021 | 131 | 2021 |
| ASGN: An active semi-supervised graph neural network for molecular property prediction Z Hao, C Lu, Z Huang, H Wang, Z Hu, Q Liu, E Chen, C Lee Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 111 | 2020 |
| MCNE: An end-to-end framework for learning multiple conditional network representations of social network H Wang, T Xu, Q Liu, D Lian, E Chen, D Du, H Wu, W Su Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 92 | 2019 |
| Protgnn: Towards self-explaining graph neural networks Z Zhang, Q Liu, H Wang, C Lu, C Lee Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 9127-9135, 2022 | 64 | 2022 |
| Hierarchical personalized federated learning for user modeling J Wu, Q Liu, Z Huang, Y Ning, H Wang, E Chen, J Yi, B Zhou Proceedings of the Web Conference 2021, 957-968, 2021 | 52 | 2021 |
| Hms: A hierarchical solver with dependency-enhanced understanding for math word problem X Lin, Z Huang, H Zhao, E Chen, Q Liu, H Wang, S Wang Proceedings of the AAAI conference on artificial intelligence 35 (5), 4232-4240, 2021 | 47 | 2021 |
| A united approach to learning sparse attributed network embedding H Wang, E Chen, Q Liu, T Xu, D Du, W Su, X Zhang 2018 IEEE International Conference on Data Mining (ICDM), 557-566, 2018 | 44 | 2018 |
| Graphmi: Extracting private graph data from graph neural networks Z Zhang, Q Liu, Z Huang, H Wang, C Lu, C Liu, E Chen arXiv preprint arXiv:2106.02820, 2021 | 42 | 2021 |
| A Survey on Large Language Models for Recommendation L Wu, Z Zheng, Z Qiu, H Wang, H Gu, T Shen, C Qin, C Zhu, H Zhu, Q Liu, ... arXiv preprint arXiv:2305.19860, 2023 | 40 | 2023 |
| Hypersorec: Exploiting hyperbolic user and item representations with multiple aspects for social-aware recommendation H Wang, D Lian, H Tong, Q Liu, Z Huang, E Chen ACM Transactions on Information Systems (TOIS) 40 (2), 1-28, 2021 | 33 | 2021 |
| ME-PLAN: A deep prototypical learning with local attention network for dynamic micro-expression recognition S Zhao, H Tang, S Liu, Y Zhang, H Wang, T Xu, E Chen, C Guan Neural Networks 153, 427-443, 2022 | 25 | 2022 |
| Disenqnet: Disentangled representation learning for educational questions Z Huang, X Lin, H Wang, Q Liu, E Chen, J Ma, Y Su, W Tong Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 24 | 2021 |
| Neural mathematical solver with enhanced formula structure Z Huang, Q Liu, W Gao, J Wu, Y Yin, H Wang, E Chen Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 23 | 2020 |
| Patent quality valuation with deep learning models H Lin, H Wang, D Du, H Wu, B Chang, E Chen Database Systems for Advanced Applications: 23rd International Conference …, 2018 | 22 | 2018 |
| Solving link-oriented tasks in signed network via an embedding approach D Du, H Wang, T Xu, Y Lu, Q Liu, E Chen 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 75-80, 2017 | 20 | 2017 |
| Federated unlearning for on-device recommendation W Yuan, H Yin, F Wu, S Zhang, T He, H Wang Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 19 | 2023 |
| Model inversion attacks against graph neural networks Z Zhang, Q Liu, Z Huang, H Wang, CK Lee, E Chen IEEE Transactions on Knowledge and Data Engineering, 2022 | 18 | 2022 |
| xLightFM: Extremely memory-efficient factorization machine G Jiang, H Wang, J Chen, H Wang, D Lian, E Chen Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 17 | 2021 |
| Federated deep knowledge tracing J Wu, Z Huang, Q Liu, D Lian, H Wang, E Chen, H Ma, S Wang Proceedings of the 14th ACM international conference on web search and data …, 2021 | 15 | 2021 |
| Technical phrase extraction for patent mining: A multi-level approach Y Liu, H Wu, Z Huang, H Wang, J Ma, Q Liu, E Chen, H Tao, K Rui 2020 IEEE International Conference on Data Mining (ICDM), 1142-1147, 2020 | 14 | 2020 |
Enhong ChenUniversity of Science and Technology of ChinaVerified email at ustc.edu.cn
