Xin, Yi

13 publications

ICLR 2025 $\text{D}_{2}\text{O}$: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao, Zhihong Zhu, Xin Wang, Siqi Luo, Jing Xiong, Longyue Wang, Mi Zhang

AAAI 2025 Exploit Your Latents: Coarse-Grained Protein Backmapping with Latent Diffusion Models Rongchao Zhang, Yu Huang, Yiwei Lou, Yi Xin, Haixu Chen, Yongzhi Cao, Hanpin Wang

ICCV 2025 From Reflection to Perfection: Scaling Inference-Time Optimization for Text-to-Image Diffusion Models via Reflection Tuning Le Zhuo, Liangbing Zhao, Sayak Paul, Yue Liao, Renrui Zhang, Yi Xin, Peng Gao, Mohamed Elhoseiny, Hongsheng Li

ICCV 2025 Lumina-Image 2.0: A Unified and Efficient Image Generative Framework Qi Qin, Le Zhuo, Yi Xin, Ruoyi Du, Zhen Li, Bin Fu, Yiting Lu, Xinyue Li, Dongyang Liu, Xiangyang Zhu, Will Beddow, Erwann Millon, Victor Perez, Wenhai Wang, Yu Qiao, Bo Zhang, Xiaohong Liu, Hongsheng Li, Chang Xu, Peng Gao

AAAI 2025 Robust Logit Adjustment for Learning with Long-Tailed Noisy Data Mingcai Chen, Yuntao Du, Wenyu Jiang, Baoming Zhang, Shuai Feng, Yi Xin, Chongjun Wang

NeurIPS 2025 SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning Zhongwei Wan, Zhihao Dou, Che Liu, Yu Zhang, Dongfei Cui, Qinjian Zhao, Hui Shen, Jing Xiong, Yi Xin, Yifan Jiang, Chaofan Tao, Yangfan He, Mi Zhang, Shen Yan

ICCV 2025 TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Siqi Luo, Haoran Yang, Yi Xin, Mingyang Yi, Guangyang Wu, Guangtao Zhai, Xiaohong Liu

MLJ 2024 Generation, Augmentation, and Alignment: A Pseudo-Source Domain Based Method for Source-Free Domain Adaptation Yuntao Du, Haiyang Yang, Mingcai Chen, Hongtao Luo, Juan Jiang, Yi Xin, Chongjun Wang

AAAI 2024 MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning Yi Xin, Junlong Du, Qiang Wang, Ke Yan, Shouhong Ding

ICLRW 2024 Multi-Source Fully Test-Time Adaptation Yuntao Du., Siqi Luo, Yi Xin, MingCai Chen, Shuai Feng, Mujie Zhang, Chongjun Wang

NeurIPS 2024 Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model Mingyang Yi, Aoxue Li, Yi Xin, Zhenguo Li

NeurIPS 2024 V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark Yi Xin, Siqi Luo, Xuyang Liu, Yuntao Du, Haodi Zhou, Xinyu Cheng, Christina Lee, Junlong Du, Haozhe Wang, Mingcai Chen, Ting Liu, Guimin Hu, Zhongwei Wan, Rongchao Zhang, Aoxue Li, Mingyang Yi, Xiaohong Liu

AAAI 2024 VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding Yi Xin, Junlong Du, Qiang Wang, Zhiwen Lin, Ke Yan