Unsupervised hashing with contrastive information bottleneck Z Qiu, Q Su, Z Ou, J Yu, C Chen Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 87 | 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 Proceedings of the Twenty-Eighth International Joint Conference on …, 2019 | 47 | 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 | 28 | 2021 |
Embedding dynamic attributed networks by modeling the evolution processes Z Xu, Z Ou, Q Su, J Yu, X Quan, Z Lin Proceedings of the 28th International Conference on Computational …, 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 Findings of the Association for Computational Linguistics: EMNLP 2021, 2021 | 9 | 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 (NeurIPS), 2022 35, 35021 …, 2022 | 7 | 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 Conference of the North American Chapter of the Association for …, 2021 | 7 | 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 | 5 | 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 Annual Meeting of the Association for Computational Linguistics (ACL), 2021, 2021 | 5 | 2021 |
Energy discrepancies: a score-independent loss for energy-based models T Schröder, Z Ou, J Lim, Y Li, S Vollmer, A Duncan Annual Conference on Neural Information Processing Systems (NeurIPS), 2023 36, 2023 | 4 | 2023 |
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 | 4 | 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 | 3 | 2022 |
Entropy-based decoding for retrieval-augmented large language models Z Qiu, Z Ou, B Wu, J Li, A Liu, I King Annual Conference of the Nations of the Americas Chapter of the Association …, 2024 | 2 | 2024 |
Training discrete ebms with energy discrepancy T Schröder, Z Ou, Y Li, AB Duncan ICML 2023 Workshop: Sampling and Optimization in Discrete Space, 2023 | 1 | 2023 |
Towards Training One-Step Diffusion Models Without Distillation M Zhang, J He, W Chen, Z Ou, JM Hernández-Lobato, B Schölkopf, ... arXiv preprint arXiv:2502.08005, 2025 | | 2025 |
Neural Flow Samplers with Shortcut Models W Chen, Z Ou, Y Li arXiv preprint arXiv:2502.07337, 2025 | | 2025 |
Improving Probabilistic Diffusion Models With Optimal Covariance Matching Z Ou, M Zhang, A Zhang, TZ Xiao, Y Li, D Barber International Conference on Learning Representations (ICLR), 2025, 2024 | | 2024 |
Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces T Schröder, Z Ou, Y Li, AB Duncan Annual Conference on Neural Information Processing Systems (NeurIPS), 2024, 2024 | | 2024 |
Notes on Unnormalized Probability Models Z Ou | | |
Advanced Gradient Estimation through Discreteness Z Ou | | |