DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models. - Yueqin Yin; Lianghua Huang; Yu Liu 063; Kaiqi Huang (CSAI, 2022)

TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing. - Yanbo Xu; Yueqin Yin; Liming Jiang 001; Qianyi Wu; Chengyao Zheng; Chen Change Loy; Bo Dai 002; Wayne Wu (CVPR, 2022)

Efficient-VQGAN: Towards High-Resolution Image Generation with Efficient Vision Transformers. - Shiyue Cao; Yueqin Yin; Lianghua Huang; Yu Liu 063; Xin Zhao 012; Deli Zhao; Kaiqi Huang (ICCV, 2023)

Relative Preference Optimization: Enhancing LLM Alignment through Contrasting Responses across Identical and Diverse Prompts. - Yueqin Yin; Zhendong Wang; Yi Gu; Hai Huang; Weizhu Chen; Mingyuan Zhou (CoRR, 2024)

Self-Augmented Preference Optimization: Off-Policy Paradigms for Language Model Alignment. - Yueqin Yin; Zhendong Wang; Yujia Xie; Weizhu Chen; Mingyuan Zhou (CoRR, 2024)

Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization. - Yi Gu; Zhendong Wang; Yueqin Yin; Yujia Xie; Mingyuan Zhou (CoRR, 2024)

KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding. - Zhangchen Xu; Yang Liu; Yueqin Yin; Mingyuan Zhou; Radha Poovendran (ACL (Findings), 2025)

Segmenting Text and Learning Their Rewards for Improved RLHF in Language Model. - Yueqin Yin; Shentao Yang; Yujia Xie; Ziyi Yang; Yuting Sun; Hany Hassan Awadalla; Weizhu Chen; Mingyuan Zhou (CoRR, 2025)

Developing and Utilizing a Distributed Experimental Platform for Advanced Research in M2PLab. - Xingwei Zhou; Guo-Ping Liu 003; Yueqin Yin; Wenshan Hu; Zhongcheng Lei; Shiqi Guan (IEEE Trans. Ind. Informatics, 2025)