| Mixed-precision neural network quantization via learned layer-wise importance C Tang, K Ouyang, Z Wang, Y Zhu, W Ji, Y Wang, W Zhu European Conference on Computer Vision, 259-275, 2022 | 50 | 2022 |
| Self-supervised dual-channel attentive network for session-based social recommendation L Wang, X Xu, K Ouyang, H Duan, Y Lu, HT Zheng 2022 IEEE 38th International Conference on Data Engineering (ICDE), 2034-2045, 2022 | 17 | 2022 |
| Arbitrary bit-width network: A joint layer-wise quantization and adaptive inference approach C Tang, H Zhai, K Ouyang, Z Wang, Y Zhu, W Zhu Proceedings of the 30th ACM International Conference on Multimedia, 2899-2908, 2022 | 14 | 2022 |
| Seam: Searching transferable mixed-precision quantization policy through large margin regularization C Tang, K Ouyang, Z Chai, Y Bai, Y Meng, Z Wang, W Zhu Proceedings of the 31st ACM International Conference on Multimedia, 7971-7980, 2023 | 9 | 2023 |
| Mining interest trends and adaptively assigning sample weight for session-based recommendation K Ouyang, X Xu, M Chen, Z Xie, HT Zheng, S Song, Y Zhao Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 8 | 2023 |
| Social-aware sparse attention network for session-based social recommendation K Ouyang, X Xu, C Tang, W Chen, H Zheng Findings of the Association for Computational Linguistics: EMNLP 2022, 2173-2183, 2022 | 6 | 2022 |
| Modeling latent autocorrelation for session-based recommendation X Xu, K Ouyang, L Wang, J Zou, Y Lu, HT Zheng, HG Kim Proceedings of the 31st ACM International Conference on Information …, 2022 | 4 | 2022 |
| Click-aware structure transfer with sample weight assignment for post-click conversion rate estimation K Ouyang, W Zheng, C Tang, X Xiao, HT Zheng Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 3 | 2023 |
| Global mixup: Eliminating ambiguity with clustering X Xie, L Yangning, W Chen, K Ouyang, Z Xie, HT Zheng Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 13798 …, 2023 | 3 | 2023 |
| Mixdec sampling: A soft link-based sampling method of graph neural network for recommendation X Xie, Y Chen, R Wang, X Zhang, S Cao, K Ouyang, Z Zhang, HT Zheng, ... 2022 IEEE International Conference on Data Mining (ICDM), 598-607, 2022 | 3 | 2022 |
| Retrieval enhanced segment generation neural network for task-oriented dialogue systems M Chen, Z Lin, R Sun, K Ouyang, HT Zheng, R Xie, W Wu ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 2 | 2022 |
| Modeling global-local subtopic distribution with hypergraph to diversify search results K Ouyang, X Xu, Z Xie, HT Zheng, Y Lu 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 1 | 2023 |
| Diversify search results through graph attentive document interaction X Xu, K Ouyang, Y Zheng, Y Lu, HT Zheng, HG Kim International Conference on Database Systems for Advanced Applications, 632-647, 2022 | 1 | 2022 |
| Enhancing Multi-Task Models For Recommendation with Tensor Trace Norm B Dai, K Ouyang, J Yuan, M Chen, X Lu, W Liu, R Zhang, HT Zheng ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Knowledge Soft Integration for Multimodal Recommendation K Ouyang, C Tang, W Zheng, X Xie, X Xiao, J Dong, HT Zheng, Z Wang arXiv preprint arXiv:2305.07419, 2023 | | 2023 |
| Rethinking Temporal Information in Session-Based Recommendation: A Position-Agnostic Approach X Xu, K Ouyang, J Zou, HT Zheng, W Liu, D Huang, B Wu ECAI 2023, 2810-2817, 2023 | | 2023 |
| Searching Transferable Mixed-Precision Quantization Policy through Large Margin Regularization. C Tang, K Ouyang, Z Chai, Y Bai, Z Wang CoRR, 2023 | | 2023 |
| Supplementary Material for Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance C Tang, K Ouyang, Z Wang, Y Zhu, W Ji, Y Wang, W Zhu | | |
Chen TangPh.D. student@MMLab, The Chinese University of Hong KongVerified email at link.cuhk.edu.hk
