| Disenbooth: Disentangled parameter-efficient tuning for subject-driven text-to-image generation H Chen, Y Zhang, X Wang, X Duan, Y Zhou, W Zhu arXiv preprint arXiv:2305.03374 3, 2023 | 63* | 2023 |
| Disentangled representation learning for recommendation X Wang, H Chen, Y Zhou, J Ma, W Zhu IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (1), 408-424, 2022 | 52 | 2022 |
| A review on 3D spatial data analytics for building information models YW Zhou, ZZ Hu, JR Lin, JP Zhang Archives of Computational Methods in Engineering 27 (5), 1449-1463, 2020 | 44 | 2020 |
| Curriculum co-disentangled representation learning across multiple environments for social recommendation X Wang, Z Pan, Y Zhou, H Chen, C Ge, W Zhu International Conference on Machine Learning, 36174-36192, 2023 | 16 | 2023 |
| Videodreamer: Customized multi-subject text-to-video generation with disen-mix finetuning H Chen, X Wang, G Zeng, Y Zhang, Y Zhou, F Han, W Zhu arXiv preprint arXiv:2311.00990, 2023 | 14 | 2023 |
| Curriculum-nas: Curriculum weight-sharing neural architecture search Y Zhou, X Wang, H Chen, X Duan, C Guan, W Zhu Proceedings of the 30th ACM International Conference on Multimedia, 6792-6801, 2022 | 13 | 2022 |
| Intra-and Inter-Modal Curriculum for Multimodal Learning Y Zhou, X Wang, H Chen, X Duan, W Zhu Proceedings of the 31st ACM International Conference on Multimedia, 3724-3735, 2023 | 8 | 2023 |
| DisenDreamer: Subject-Driven Text-to-Image Generation with Sample-aware Disentangled Tuning H Chen, Y Zhang, X Wang, X Duan, Y Zhou, W Zhu IEEE Transactions on Circuits and Systems for Video Technology, 2024 | 6 | 2024 |
| Curml: A curriculum machine learning library Y Zhou, H Chen, Z Pan, C Yan, F Lin, X Wang, W Zhu Proceedings of the 30th ACM International Conference on Multimedia, 7359-7363, 2022 | 6 | 2022 |
| Llm4vg: Large language models evaluation for video grounding W Feng, X Wang, H Chen, Z Zhang, Z Song, Y Zhou, W Zhu arXiv preprint arXiv:2312.14206, 2023 | 5 | 2023 |
| Cross-domain recommendation with behavioral importance perception H Chen, X Wang, R Xie, Y Zhou, W Zhu Proceedings of the ACM Web Conference 2023, 1294-1304, 2023 | 5 | 2023 |
| Module-aware optimization for auxiliary learning H Chen, X Wang, Y Liu, Y Zhou, C Guan, W Zhu Advances in Neural Information Processing Systems 35, 31827-31840, 2022 | 5 | 2022 |
| Global-Local GraphFormer: Towards Better Understanding of User Intentions in Sequential Recommendation H Chen, B Huang, X Wang, Y Zhou, W Zhu Proceedings of the 5th ACM International Conference on Multimedia in Asia, 1-7, 2023 | 2 | 2023 |
| Curriculum Learning: Theories, Approaches, Applications, Tools, and Future Directions in the Era of Large Language Models X Wang, Y Zhou, H Chen, W Zhu Companion Proceedings of the ACM on Web Conference 2024, 1306-1310, 2024 | 1 | 2024 |
| Joint data-task generation for auxiliary learning H Chen, X Wang, Y Zhou, Y Qin, C Guan, W Zhu Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| CurBench: Curriculum Learning Benchmark Y Zhou, Z Pan, X Wang, H Chen, H Li, Y Huang, Z Xiong, F Xiong, P Xu, ... Forty-first International Conference on Machine Learning, 0 | | |
| Automated Disentangled Sequential Recommendation with Large Language Models X Wang, H Chen, Z Pan, Y Zhou, C Guan, L Sun, W Zhu ACM Transactions on Information Systems, 0 | | |
