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 | 93* | 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 | 65 | 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 | 48 | 2020 |
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 | 22 | 2023 |
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 | 21 | 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 | 15 | 2024 |
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 | 15 | 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 | 11 | 2023 |
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 | 10 | 2022 |
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 | 9 | 2023 |
Llm4vg: Large language models evaluation for video grounding W Feng, X Wang, H Chen, Z Zhang, H Chen, Z Song, Y Zhou, Y Yang, ... arXiv preprint arXiv:2312.14206, 2023 | 8 | 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 | 7 | 2022 |
Disenstudio: Customized multi-subject text-to-video generation with disentangled spatial control H Chen, X Wang, Y Zhang, Y Zhou, Z Zhang, S Tang, W Zhu Proceedings of the 32nd ACM International Conference on Multimedia, 3637-3646, 2024 | 6 | 2024 |
Multi-modal generative ai: Multi-modal llm, diffusion and beyond H Chen, X Wang, Y Zhou, B Huang, Y Zhang, W Feng, H Chen, Z Zhang, ... arXiv preprint arXiv:2409.14993, 2024 | 6 | 2024 |
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 | 4 | 2023 |
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 43 (2), 1-29, 2025 | 3 | 2025 |
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, 13103-13114, 2023 | 3 | 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 | 2 | 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 | 2 | |
Curriculum Learning for Multimedia in the Era of Large Language Models X Wang, Y Zhou, H Chen, W Zhu Proceedings of the 32nd ACM International Conference on Multimedia, 11296-11297, 2024 | 1 | 2024 |