| Qwen Technical Report J Bai, S Bai, Y Chu, Z Cui, K Dang, X Deng, Y Fan, W Ge, Y Han, F Huang, ... https://arxiv.org/abs/2309.16609, 2023 | 2733 | 2023 |
| Qwen2 technical report A Yang, B Yang, B Hui, B Zheng, B Yu, C Zhou, C Li, C Li, D Liu, F Huang, ... arXiv preprint arXiv:2407.10671, 2024 | 1198 | 2024 |
| Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond J Bai*, S Bai*, S Yang*, S Wang, S Tan, P Wang, J Lin, C Zhou*, J Zhou arXiv preprint arXiv:2308.12966, 2023 | 1176* | 2023 |
| 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 | 1175 | 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 | 1156 | 2022 |
| 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 | 823 | 2021 |
| Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution P Wang, S Bai, S Tan, S Wang, Z Fan, J Bai, K Chen, X Liu, J Wang, W Ge, ... arXiv preprint arXiv:2409.12191, 2024 | 662* | 2024 |
| Learning Disentangled Representations for Recommendation J Ma*, C Zhou*, P Cui, H Yang, W Zhu NeurIPS 2019, 2019 | 396 | 2019 |
| 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, 2017 | 361 | 2017 |
| 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 | 358 | 2021 |
| 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 | 354 | 2019 |
| Controllable Multi-Interest Framework for Recommendation Y Cen, J Zhang, X Zou, C Zhou, H Yang, J Tang KDD 2020, 2020 | 313 | 2020 |
| Cognitive Graph for Multi-Hop Reading Comprehension at Scale M Ding, C Zhou, Q Chen, H Yang, J Tang ACL 2019, 2019 | 303 | 2019 |
| Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models Y Chu*, J Xu*, X Zhou*, Q Yang, S Zhang, Z Yan, C Zhou*, J Zhou arXiv preprint arXiv:2311.07919, 2023 | 272 | 2023 |
| Scalable graph embedding for asymmetric proximity C Zhou, Y Liu, X Liu, Z Liu, J Gao AAAI 2017 31 (1), 2017 | 252 | 2017 |
| Disentangled Self-Supervision in Sequential Recommenders J Ma, C Zhou, H Yang, P Cui, X Wang, W Zhu KDD 2020, 2020 | 243 | 2020 |
| Understanding Negative Sampling in Graph Representation Learning Z Yang, M Ding, C Zhou, H Yang, J Zhou, J Tang KDD 2020, 2020 | 223 | 2020 |
| Scaling Relationship on Learning Mathematical Reasoning with Large Language Models Z Yuan*, H Yuan*, C Li, G Dong, C Tan, C Zhou, J Zhou arXiv preprint arXiv:2308.01825, 2023 | 210 | 2023 |
| M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems Z Cui∗, J Ma∗, C Zhou, J Zhou, H Yang https://arxiv.org/abs/2205.08084, 2022 | 195 | 2022 |
| CogLTX: Applying BERT to Long Texts M Ding, C Zhou, H Yang, J Tang NeurIPS 2020, 2020 | 184 | 2020 |
Jingren ZhouAlibaba Group, Microsoft在 alibaba-inc.com 的电子邮件经过验证
