| Contrastive clustering Y Li, P Hu, Z Liu, D Peng, JT Zhou, X Peng Proceedings of the AAAI conference on artificial intelligence 35 (10), 8547-8555, 2021 | 890 | 2021 |
| Completer: Incomplete multi-view clustering via contrastive prediction Y Lin, Y Gou, Z Liu, B Li, J Lv, X Peng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 521 | 2021 |
| Node similarity preserving graph convolutional networks W Jin, T Derr, Y Wang, Y Ma, Z Liu, J Tang Proceedings of the 14th ACM international conference on web search and data …, 2021 | 352 | 2021 |
| Self-supervised learning on graphs: Deep insights and new direction W Jin, T Derr, H Liu, Y Wang, S Wang, Z Liu, J Tang arXiv preprint arXiv:2006.10141, 2020 | 298 | 2020 |
| You only look yourself: Unsupervised and untrained single image dehazing neural network B Li, Y Gou, S Gu, JZ Liu, JT Zhou, X Peng International Journal of Computer Vision 129 (5), 1754-1767, 2021 | 284 | 2021 |
| Pixie: A system for recommending 3+ billion items to 200+ million users in real-time C Eksombatchai, P Jindal, JZ Liu, Y Liu, R Sharma, C Sugnet, M Ulrich, ... Proceedings of the 2018 world wide web conference, 1775-1784, 2018 | 282 | 2018 |
| Characterizing Machines and Workloads on a Google Cluster Z Liu, S Cho Parallel Processing Workshops (ICPPW), 2012 41st International Conference on …, 2012 | 210 | 2012 |
| Zero-shot image dehazing B Li, Y Gou, JZ Liu, H Zhu, JT Zhou, X Peng IEEE Transactions on Image Processing 29, 8457-8466, 2020 | 207 | 2020 |
| Partially view-aligned representation learning with noise-robust contrastive loss M Yang, Y Li, Z Huang, Z Liu, P Hu, X Peng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 204 | 2021 |
| R-transformer: Recurrent neural network enhanced transformer Z Wang, Y Ma, Z Liu, J Tang arXiv preprint arXiv:1907.05572, 2019 | 173 | 2019 |
| Does gender matter? towards fairness in dialogue systems H Liu, J Dacon, W Fan, H Liu, Z Liu, J Tang Proceedings of the 28th International Conference on Computational …, 2020 | 165 | 2020 |
| Empowering education with llms-the next-gen interface and content generation S Moore, R Tong, A Singh, Z Liu, X Hu, Y Lu, J Liang, C Cao, H Khosravi, ... International Conference on Artificial Intelligence in Education, 32-37, 2023 | 125 | 2023 |
| Short Text Feature Selection for Micro-blog Mining Z Liu, W Yu, W Chen, S Wang, F Wu 2010 International Conference on Computational Intelligence and Software …, 2010 | 115 | 2010 |
| Improving interpretability of deep sequential knowledge tracing models with question-centric cognitive representations J Chen, Z Liu, S Huang, Q Liu, W Luo Proceedings of the AAAI conference on artificial intelligence 37 (12), 14196 …, 2023 | 110 | 2023 |
| Graph neural networks with adaptive residual X Liu, J Ding, W Jin, H Xu, Y Ma, Z Liu, J Tang Advances in Neural Information Processing Systems 34, 9720-9733, 2021 | 110 | 2021 |
| Long text generation by modeling sentence-level and discourse-level coherence J Guan, X Mao, C Fan, Z Liu, W Ding, M Huang arXiv preprint arXiv:2105.08963, 2021 | 106 | 2021 |
| Enhancing deep knowledge tracing with auxiliary tasks Z Liu, Q Liu, J Chen, S Huang, B Gao, W Luo, J Weng Proceedings of the ACM web conference 2023, 4178-4187, 2023 | 104 | 2023 |
| Clearer: Multi-scale neural architecture search for image restoration Y Gou, B Li, Z Liu, S Yang, X Peng Advances in neural information processing systems 33, 17129-17140, 2020 | 102 | 2020 |
| pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models Z Liu, Q Liu, J Chen, S Huang, J Tang, W Luo arXiv preprint arXiv:2206.11460, 2022 | 101 | 2022 |
| Linrec: Linear attention mechanism for long-term sequential recommender systems L Liu, L Cai, C Zhang, X Zhao, J Gao, W Wang, Y Lv, W Fan, Y Wang, ... Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 96 | 2023 |
Jiliang TangUniversity Foundation Professor of Computer Science and Engineering, Michigan State UniversityVerified email at msu.edu
