| Deep Interest Evolution Network for Click-Through Rate Prediction G Zhou, N Mou, Y Fan, Q Pi, W Bian, C Zhou, X Zhu, K Gai AAAI 2019, 2019 | 668 | 2019 |
| OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework P Wang, A Yang, R Men, J Lin, S Bai, Z Li, J Ma, C Zhou*, J Zhou, H Yang ICML 2022, 2022 | 284 | 2022 |
| ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation C Zhou, J Bai, J Song, X Liu, Z Zhao, X Chen, J Gao AAAI 2018, 2018 | 282 | 2018 |
| CogView: Mastering Text-to-Image Generation via Transformers M Ding, Z Yang, W Hong, W Zheng, C Zhou, D Yin, J Lin, X Zou, Z Shao, ... NeurIPS 2021, 2021 | 247 | 2021 |
| Cognitive Graph for Multi-Hop Reading Comprehension at Scale M Ding, C Zhou, Q Chen, H Yang, J Tang ACL 2019, 2019 | 213 | 2019 |
| Scalable graph embedding for asymmetric proximity C Zhou, Y Liu, X Liu, Z Liu, J Gao AAAI 2017 31 (1), 2017 | 203 | 2017 |
| AliGraph: A Comprehensive Graph Neural Network Platform R Zhu, K Zhao, H Yang, W Lin, C Zhou, B Ai, Y Li, J Zhou VLDB 2019, 2019 | 197 | 2019 |
| Learning Disentangled Representations for Recommendation J Ma*, C Zhou*, P Cui, H Yang, W Zhu NeurIPS 2019, 2019 | 196 | 2019 |
| Controllable Multi-Interest Framework for Recommendation Y Cen, J Zhang, X Zou, C Zhou, H Yang, J Tang KDD 2020, 2020 | 137 | 2020 |
| Disentangled Self-Supervision in Sequential Recommenders J Ma, C Zhou, H Yang, P Cui, X Wang, W Zhu KDD 2020, 2020 | 124 | 2020 |
| M6: A Chinese Multimodal Pretrainer J Lin*, R Men*, A Yang*, C Zhou, M Ding, Y Zhang, P Wang, A Wang, ... https://arxiv.org/abs/2103.00823, 2021 | 117* | 2021 |
| Understanding Negative Sampling in Graph Representation Learning Z Yang, M Ding, C Zhou, H Yang, J Zhou, J Tang KDD 2020, 2020 | 109 | 2020 |
| Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks Q Lv, M Ding, Q Liu, Y Chen, W Feng, S He, C Zhou, J Jiang, Y Dong, ... KDD 2021, 2021 | 93 | 2021 |
| CogLTX: Applying BERT to Long Texts M Ding, C Zhou, H Yang, J Tang NeurIPS 2020, 2020 | 85 | 2020 |
| Continuous pattern detection over billion-edge graph using distributed framework J Gao, C Zhou, J Zhou, JX Yu 2014 IEEE 30th International Conference on Data Engineering, 556-567, 2014 | 78 | 2014 |
| Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems C Zhou*, J Ma*, J Zhang*, J Zhou, H Yang KDD 2021, 2021 | 72 | 2021 |
| Personalized Bundle List Recommendation J Bai, C Zhou*, J Song, X Qu, W An, Z Li, J Gao WWW 2019, 2019 | 53 | 2019 |
| Mocgraph: Scalable distributed graph processing using message online computing C Zhou, J Gao, B Sun, JX Yu Proceedings of the VLDB Endowment 8 (4), 377-388, 2014 | 48 | 2014 |
| M6-UFC: Unifying Multi-Modal Controls for Conditional Image Synthesis Z Zhang, J Ma, C Zhou, R Men, Z Li, M Ding, J Tang, J Zhou, H Yang NuerIPS 2021, 2021 | 46* | 2021 |
| M6-T: Exploring Sparse Expert Models and Beyond A Yang*, J Lin*, R Men*, C Zhou, L Jiang, X Jia, A Wang, J Zhang, J Wang, ... https://arxiv.org/abs/2105.15082, 2021 | 34 | 2021 |
Hongxia YangAlibaba Group, Yahoo!, IBM WatsonVerified email at alibaba-inc.com
