| 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 | 645 | 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 | 359 | 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 | 254 | 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 | 239 | 2018 |
| 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 | 237 | 2020 |
| Characterizing Machines and Workloads on a Google Cluster Z Liu, S Cho Parallel Processing Workshops (ICPPW), 2012 41st International Conference on …, 2012 | 208 | 2012 |
| 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, 1754-1767, 2021 | 207 | 2021 |
| 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 | 164 | 2021 |
| 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 | 153 | 2020 |
| R-transformer: Recurrent neural network enhanced transformer Z Wang, Y Ma, Z Liu, J Tang arXiv preprint arXiv:1907.05572, 2019 | 143 | 2019 |
| Does gender matter? towards fairness in dialogue systems H Liu, J Dacon, W Fan, H Liu, Z Liu, J Tang arXiv preprint arXiv:1910.10486, 2019 | 127 | 2019 |
| 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 | 114 | 2010 |
| 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 | 88 | 2020 |
| 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 | 77 | 2021 |
| Deep knowledge tracing with side information Z Wang, X Feng, J Tang, GY Huang, Z Liu Artificial Intelligence in Education: 20th International Conference, AIED …, 2019 | 75 | 2019 |
| 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 | 74 | 2021 |
| Mitigating gender bias for neural dialogue generation with adversarial learning H Liu, W Wang, Y Wang, H Liu, Z Liu, J Tang arXiv preprint arXiv:2009.13028, 2020 | 71 | 2020 |
| Automatic short answer grading via multiway attention networks T Liu, W Ding, Z Wang, J Tang, GY Huang, Z Liu Artificial Intelligence in Education: 20th International Conference, AIED …, 2019 | 60 | 2019 |
| 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 | 58 | 2023 |
| OpenMEVA: A benchmark for evaluating open-ended story generation metrics J Guan, Z Zhang, Z Feng, Z Liu, W Ding, X Mao, C Fan, M Huang arXiv preprint arXiv:2105.08920, 2021 | 53 | 2021 |
Jiliang TangUniversity Foundation Professor of Computer Science and Engineering, Michigan State UniversityVerified email at msu.edu
