| 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 | 278 | 2021 |
| Characterizing Machines and Workloads on a Google Cluster Z Liu, S Cho Parallel Processing Workshops (ICPPW), 2012 41st International Conference on …, 2012 | 193 | 2012 |
| 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 | 171 | 2018 |
| 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 | 151 | 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 | 131 | 2020 |
| 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 | 127 | 2021 |
| 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 | 112 | 2010 |
| 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 | 95 | 2021 |
| R-transformer: Recurrent neural network enhanced transformer Z Wang, Y Ma, Z Liu, J Tang arXiv preprint arXiv:1907.05572, 2019 | 80 | 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 | 76 | 2019 |
| 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 | 74 | 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 | 71 | 2021 |
| 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 | 62 | 2020 |
| 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 | 50 | 2020 |
| 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 | 50 | 2019 |
| 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 | 42 | 2019 |
| A Regularized Linear Dynamical System Framework for Multivariate Time Series Analysis Z Liu, M Hauskrecht The 29th AAAI Conference on Artificial Intelligence, 1798-1804, 2015 | 41 | 2015 |
| Learning Adaptive Forecasting Models from Irregularly Sampled Multivariate Clinical Data Z Liu, M Hauskrecht Thirtieth AAAI Conference on Artificial Intelligence, 2016 | 40 | 2016 |
| Modeling Clinical Time Series Using Gaussian Process Sequences Z Liu, L Wu, M Hauskrecht SIAM International Conference on Data Mining (SDM), 623-631, 2013 | 37 | 2013 |
| Automatic summarization of student course feedback W Luo, F Liu, Z Liu, D Litman Proceedings of the 2016 Conference of the North American Chapter of the …, 2016 | 35 | 2016 |
Jiliang TangUniversity Foundation Professor of Computer Science and Engineering, Michigan State UniversityVerified email at msu.edu
