| 2026 | WWW | Out-of-distribution Generalized Generative AI. | Xin Wang, Zirui Pan, Yuwei Zhou, Wenwu Zhu |
| 2026 | SIGIR | Think with Grounding: Curriculum Reinforced Reasoning with Video Grounding for Long Video Understanding. | Houlun Chen, Xin Wang, Guangyao Li, Yuwei Zhou, Yihan Chen, Jia Jia, Wenwu Zhu |
| 2025 | IROS | Depth Estimation Based on Fisheye Cameras. | Yuwei Zhou, Guoyu Lu |
| 2024 | ICLR | DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation. | Hong Chen, Yipeng Zhang, Simin Wu, Xin Wang, Xuguang Duan, Yuwei Zhou, Wenwu Zhu |
| 2024 | ICML | CurBench: Curriculum Learning Benchmark. | Yuwei Zhou, Zirui Pan, Xin Wang, Hong Chen, Haoyang Li, Yanwen Huang, Zhixiao Xiong, Fangzhou Xiong, Peiyang Xu, Shengnan Liu, Wenwu Zhu |
| 2024 | IROS | Simultaneous Super-resolution and Depth Estimation for Satellite Images Based on Diffusion Model. | Yuwei Zhou, Yangming Lee |
| 2024 | WSC | Finding Feasible Systems in the Presence of a Probability Constraint. | Taehoon Kim, Sigrn Andradttir, Seong-Hee Kim, Yuwei Zhou |
| 2024 | WSC | Finding Feasible Systems for a Stochastic Constraint with Relaxed Tolerance Levels. | Chuljin Park, Sigrn Andradttir, Seong-Hee Kim, Yuwei Zhou |
| 2024 | WWW | Curriculum Learning: Theories, Approaches, Applications, Tools, and Future Directions in the Era of Large Language Models. | Xin Wang, Yuwei Zhou, Hong Chen, Wenwu Zhu |
| 2023 | ICML | Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation. | Xin Wang, Zirui Pan, Yuwei Zhou, Hong Chen, Chendi Ge, Wenwu Zhu |
| 2023 | WWW | Cross-domain Recommendation with Behavioral Importance Perception. | Hong Chen, Xin Wang, Ruobing Xie, Yuwei Zhou, Wenwu Zhu |
| 2022 | IGARSS | Temporal MLP Network for PM 2.5 Estimation. | Yuwei Zhou, John P. Kerekes |
| 2021 | HCI | Usability Evaluation of Music Applications for Stress Reduction. | Moushume Hai, Ariana Lacue, Yuwei Zhou, Yogesh Patel, Asturias Roncal, Patricia Morreale |
| 2021 | IGARSS | PM2.5 Classification Through Convolutional Recurrent Neural Networks Applied to Modis AOD and TOA Reflectance Images. | Yuwei Zhou, John P. Kerekes |
| 2020 | WSC | Identifying the Best System in the Presense of Stochastic Constraints with Varying Thresholds. | Yuwei Zhou, Sigrn Andradttir, Seong-Hee Kim |