| Unsupervised hashing with contrastive information bottleneck Z Qiu, Q Su, Z Ou, J Yu, C Chen arXiv preprint arXiv:2105.06138, 2021 | 65 | 2021 |
| ISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation. J Song, H Shen, Z Ou, J Zhang, T Xiao, S Liang IJCAI, 5765-5771, 2019 | 39 | 2019 |
| Learning and updating node embedding on dynamic heterogeneous information network Y Xie, Z Ou, L Chen, Y Liu, K Xu, C Yang, Z Zheng Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 24 | 2021 |
| Embedding dynamic attributed networks by modeling the evolution processes Z Xu, Z Ou, Q Su, J Yu, X Quan, Z Lin arXiv preprint arXiv:2010.14047, 2020 | 16 | 2020 |
| Refining BERT embeddings for document hashing via mutual information maximization Z Ou, Q Su, J Yu, R Zhao, Y Zheng, B Liu arXiv preprint arXiv:2109.02867, 2021 | 6 | 2021 |
| MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction W Jiang, Z Ye, Z Ou, R Zhao, J Zheng, Y Liu, B Liu, S Li, Y Yang, Y Zheng Proceedings of the 31st ACM international conference on information …, 2022 | 4 | 2022 |
| Imperfect also deserves reward: Multi-level and sequential reward modeling for better dialog management Z Hou, B Liu, R Zhao, Z Ou, Y Liu, X Chen, Y Zheng arXiv preprint arXiv:2104.04748, 2021 | 4 | 2021 |
| Learning neural set functions under the optimal subset oracle Z Ou, T Xu, Q Su, Y Li, P Zhao, Y Bian Advances in Neural Information Processing Systems 35, 35021-35034, 2022 | 3 | 2022 |
| Modeling Semantic Composition with Syntactic Hypergraph for Video Question Answering Z Xu, W Zhong, Q Su, Z Ou, F Zhang arXiv preprint arXiv:2205.06530, 2022 | 3 | 2022 |
| Tell me how to survey: literature review made simple with automatic reading path generation J Ding, T Xiang, Z Ou, W Zuo, R Zhao, C Lin, Y Zheng, B Liu 2022 IEEE 38th International Conference on Data Engineering (ICDE), 3426-3438, 2022 | 2 | 2022 |
| Integrating semantics and neighborhood information with graph-driven generative models for document retrieval Z Ou, Q Su, J Yu, B Liu, J Wang, R Zhao, C Chen, Y Zheng arXiv preprint arXiv:2105.13066, 2021 | 2 | 2021 |
| Energy Discrepancies: A Score-Independent Loss for Energy-Based Models T Schröder, Z Ou, J Lim, Y Li, S Vollmer, A Duncan Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Perturb and Learn: Energy-Based Modelling in Discrete Spaces without MCMC T Schröder, Z Ou, Y Li, AB Duncan | | 2023 |
| Training Discrete EBMs with Energy Discrepancy T Schröder, Z Ou, Y Li, AB Duncan ICML 2023 Workshop: Sampling and Optimization in Discrete Space, 2023 | | 2023 |
| Training Discrete Energy-Based Models with Energy Discrepancy T Schröder, Z Ou, Y Li, AB Duncan arXiv preprint arXiv:2307.07595, 2023 | | 2023 |
| Notes on Unnormalized Probability Models Z Ou | | |
| Advanced Gradient Estimation through Discreteness Z Ou | | |
| Gradient Guided Ratio Matching Z Ou | | |
