| Learning with Local and Global Consistency. D Zhou, O Bousquet, TN Lal, J Weston, B Schölkopf Advances in neural information processing systems (NIPS) 16, 321-328, 2003 | 5218 | 2003 |
| Recommender systems with social regularization H Ma, D Zhou, C Liu, MR Lyu, I King Proceedings of the fourth ACM international conference on Web search and …, 2011 | 1967 | 2011 |
| PaLM: Scaling language modeling with pathways A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ... arXiv preprint arXiv:2204.02311, 2022 | 1519 | 2022 |
| Learning with hypergraphs: Clustering, classification, and embedding D Zhou, J Huang, B Schölkopf Advances in neural information processing systems (NIPS) 19, 1601, 2007 | 1459 | 2007 |
| Chain of thought prompting elicits reasoning in large language models J Wei, X Wang, D Schuurmans, M Bosma, E Chi, Q Le, D Zhou Advances in Neural Information Processing Systems (NeurIPS), 2022 | 1256 | 2022 |
| Ranking on data manifolds. D Zhou, J Weston, A Gretton, O Bousquet, B Schölkopf Advances in neural information processing systems (NIPS) 16, 169-176, 2003 | 954 | 2003 |
| Semi-supervised graph-based hyperspectral image classification G Camps-Valls, TVB Marsheva, D Zhou IEEE transactions on Geoscience and Remote Sensing 45 (10), 3044-3054, 2007 | 722 | 2007 |
| Emergent abilities of large language models J Wei, Y Tay, R Bommasani, C Raffel, B Zoph, S Borgeaud, D Yogatama, ... Transactions on Machine Learning Research (TMLR), 2022 | 648 | 2022 |
| Mobilebert: a compact task-agnostic bert for resource-limited devices Z Sun, H Yu, X Song, R Liu, Y Yang, D Zhou arXiv preprint arXiv:2004.02984, 2020 | 589 | 2020 |
| Scaling instruction-finetuned language models HW Chung, L Hou, S Longpre, B Zoph, Y Tay, W Fedus, E Li, X Wang, ... arXiv preprint arXiv:2210.11416, 2022 | 556 | 2022 |
| Spectral clustering and transductive learning with multiple views D Zhou, CJC Burges Proceedings of the 24th international conference on Machine learning (ICML …, 2007 | 547 | 2007 |
| Learning from labeled and unlabeled data on a directed graph D Zhou, J Huang, B Schölkopf Proceedings of the 22nd international conference on Machine learning (ICML …, 2005 | 537 | 2005 |
| Evolutionary spectral clustering by incorporating temporal smoothness Y Chi, X Song, D Zhou, K Hino, BL Tseng Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007 | 486 | 2007 |
| Query suggestion using hitting time Q Mei, D Zhou, K Church Proceedings of the 17th ACM conference on Information and knowledge …, 2008 | 466* | 2008 |
| Learning from the Wisdom of Crowds by Minimax Entropy. D Zhou, JC Platt, S Basu, Y Mao Advances in Neural Information Processing Systems (NIPS), 2204-2212, 2012 | 412 | 2012 |
| Neuro-symbolic program synthesis E Parisotto, A Mohamed, R Singh, L Li, D Zhou, P Kohli arXiv preprint arXiv:1611.01855, 2016 | 355 | 2016 |
| Self-consistency improves chain of thought reasoning in language models X Wang, J Wei, D Schuurmans, Q Le, E Chi, D Zhou International Conference on Learning Representations (ICLR), 2022 | 327* | 2022 |
| Semi-supervised protein classification using cluster kernels J Weston, D Zhou, A Elisseeff, W Noble, C Leslie Advances in neural information processing systems 16, 2003 | 327 | 2003 |
| Breaking the curse of horizon: Infinite-horizon off-policy estimation Q Liu, L Li, Z Tang, D Zhou Advances in neural information processing systems 31, 2018 | 306 | 2018 |
| Semi-supervised Learning on Directed Graphs. D Zhou, B Schölkopf, T Hofmann Advances in neural information processing systems (NIPS) 17, 1633-1640, 2004 | 283 | 2004 |
Jason WeiOpenAIVerified email at google.com
