Yi Xin

According to our database, Yi Xin authored at least 47 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey and Benchmark.

Yi Xin, Jianjiang Yang, Siqi Luo, Yuntao Du, Qi Qin, Haoxing Chen, Kangrui Cen, Yangfan He, Bin Fu, Yuewen Cao, Junjun He, Xiaokang Yang, Guangtao Zhai, Ming-Hsuan Yang, Xiaohong Liu

Int. J. Comput. Vis., June, 2026

Sketch Then Paint: Hierarchical Reinforcement Learning for Diffusion Multi-Modal Large Language Models.

Siqi Luo, Jianghan Shen, Yi Xin, Huayu Zheng, Haoxing Chen, Yan Tai, Yue Li, Junjun He, Yihao Liu, Guangtao Zhai, Yuewen Cao, Xiaohong Liu

CoRR, May, 2026

ICRL: Learning to Internalize Self-Critique with Reinforcement Learning.

Jianbo Lin, Xiaomin Yu, Yi Xin, Yifu Guo, Zhuosong Jiang, Zhongqi Yue, Weishi Wang, Heqing Zou, Chengwei Qin, Hui Xiong

CoRR, May, 2026

Threshold-Guided Optimization for Visual Generative Models.

Jinbin Bai, Yu Lei, Qingyu Shi, Aosong Feng, Yi Xin, Zhuoran Zhao, Fei Shen, Kaidong Yu, Jason Li

CoRR, May, 2026

Lumina-mGPT: Flexible Photorealistic Autoregressive Text-to-Image Generation.

Dongyang Liu, Yi Xin, Shitian Zhao, Le Zhuo, Weifeng Lin, Xinyue Li, Qi Qin, Guangtao Zhai, Xiaohong Liu, Hongsheng Li, Yu Qiao, Peng Gao

Int. J. Comput. Vis., April, 2026

InternVL-U: Democratizing Unified Multimodal Models for Understanding, Reasoning, Generation and Editing.

Changyao Tian, Danni Yang, Guanzhou Chen, Erfei Cui, Zhaokai Wang, Yuchen Duan, Penghao Yin, Sitao Chen, Ganlin Yang, Mingxin Liu, Zirun Zhu, Ziqian Fan, Leyao Gu, Haomin Wang, Qi Wei, Jinhui Yin, Xue Yang, Zhihang Zhong, Qi Qin, Yi Xin, Bin Fu, Yihao Liu, Jiaye Ge, Qipeng Guo, Gen Luo, Hongsheng Li, Yu Qiao, Kai Chen, Hongjie Zhang

CoRR, March, 2026

M2IST: Multi-Modal Interactive Side-Tuning for Efficient Referring Expression Comprehension.

Xuyang Liu, Ting Liu, Siteng Huang, Yi Xin, Yue Hu, Long Qin, Donglin Wang, Yuanyuan Wu, Honggang Chen

IEEE Trans. Circuits Syst. Video Technol., February, 2026

Accelerating Masked Image Generation by Learning Latent Controlled Dynamics.

Kaiwen Zhu, Quansheng Zeng, Yuandong Pu, Shuo Cao, Xiaohui Li, Yi Xin, Qi Qin, Jiayang Li, Yu Qiao, Jinjin Gu, Yihao Liu

CoRR, February, 2026

Training-Free Acceleration for Document Parsing Vision-Language Model with Hierarchical Speculative Decoding.

Wenhui Liao, Hongliang Li, Pengyu Xie, Xinyu Cai, Yufan Shen, Yi Xin, Qi Qin, Shenglong Ye, Tianbin Li, Ming Hu, Junjun He, Yihao Liu, Wenhai Wang, Min Dou, Bin Fu, Botian Shi, Yu Qiao, Lianwen Jin

CoRR, February, 2026

Modality Gap-Driven Subspace Alignment Training Paradigm For Multimodal Large Language Models.

Xiaomin Yu, Yi Xin, Wenjie Zhang, Chonghan Liu, Hanzhen Zhao, Xiaoxing Hu, Xinlei Yu, Ziyue Qiao, Hao Tang, Xue Yang, Xiaobin Hu, Chengwei Qin, Hui Xiong, Yu Qiao, Shuicheng Yan

CoRR, February, 2026

Prism: Efficient Test-Time Scaling via Hierarchical Search and Self-Verification for Discrete Diffusion Language Models.

Jinbin Bai, Yixuan Li, Yuchen Zhu, Yi Xin, Qingyu Shi, Aosong Feng, Xiaohong Liu, Molei Tao, Jianru Xue, Xiangtai Li, Ming-Hsuan Yang

CoRR, February, 2026

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models.

Yifan Jia, Yuntao Du, Kailin Jiang, Yuyang Liang, Qihan Ren, Yi Xin, Rui Yang, Fenze Feng, Mingcai Chen, Hengyang Lu, Haozhe Wang, Xiaoye Qu, Qian Li, Dongrui Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

TIDE: Temporal-Aware Sparse Autoencoders for Interpretable Diffusion Transformers in Image Generation.

Victor Shea-Jay Huang, Le Zhuo, Yi Xin, Zhaokai Wang, Fu-Yun Wang, Yuchi Wang, Renrui Zhang, Peng Gao, Hongsheng Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

UniPercept: Towards Unified Perceptual-Level Image Understanding across Aesthetics, Quality, Structure, and Texture.

Shuo Cao, Jiayang Li, Xiaohui Li, Yuandong Pu, Kaiwen Zhu, Yuanting Gao, Siqi Luo, Yi Xin, Qi Qin, Yu Zhou, Xiangyu Chen, Wenlong Zhang, Bin Fu, Yu Qiao, Yihao Liu

CoRR, December, 2025

dMLLM-TTS: Self-Verified and Efficient Test-Time Scaling for Diffusion Multi-Modal Large Language Models.

Yi Xin, Siqi Luo, Qi Qin, Haoxing Chen, Kaiwen Zhu, Zhiwei Zhang, Yangfan He, Rongchao Zhang, Jinbin Bai, Shuo Cao, Bin Fu, Junjun He, Yihao Liu, Yuewen Cao, Xiaohong Liu

CoRR, December, 2025

From Masks to Worlds: A Hitchhiker's Guide to World Models.

Jinbin Bai, Yu Lei, Hecong Wu, Yuchen Zhu, Shufan Li, Yi Xin, Xiangtai Li, Molei Tao, Aditya Grover, Ming-Hsuan Yang

CoRR, October, 2025

UniMedVL: Unifying Medical Multimodal Understanding And Generation Through Observation-Knowledge-Analysis.

Junzhi Ning, Wei Li, Cheng Tang, Jiashi Lin, Chenglong Ma, Chaoyang Zhang, Jiyao Liu, Ying Chen, Shujian Gao, Lihao Liu, Yuandong Pu, Huihui Xu, Chenhui Gou, Ziyan Huang, Yi Xin, Qi Qin, Zhongying Deng, Diping Song, Bin Fu, Guang Yang, Yuanfeng Ji, Tianbin Li, Yanzhou Su, Jin Ye, Shixiang Tang, Ming Hu, Junjun He

CoRR, October, 2025

Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding.

Yi Xin, Qi Qin, Siqi Luo, Kaiwen Zhu, Juncheng Yan, Yan Tai, Jiayi Lei, Yuewen Cao, Keqi Wang, Yibin Wang, Jinbin Bai, Qian Yu, Dengyang Jiang, Yuandong Pu, Haoxing Chen, Le Zhuo, Junjun He, Gen Luo, Tianbin Li, Ming Hu, Jin Ye, Shenglong Ye, Bo Zhang, Chang Xu, Wenhai Wang, Hongsheng Li, Guangtao Zhai, Tianfan Xue, Bin Fu, Xiaohong Liu, Yu Qiao, Yihao Liu

CoRR, October, 2025

LayerT2V: Interactive Multi-Object Trajectory Layering for Video Generation.

Kangrui Cen, Baixuan Zhao, Yi Xin, Siqi Luo, Guangtao Zhai, Xiaohong Liu

CoRR, August, 2025

Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling.

Yi Xin, Juncheng Yan, Qi Qin, Zhen Li, Dongyang Liu, Shicheng Li, Victor Shea-Jay Huang, Yupeng Zhou, Renrui Zhang, Le Zhuo, Tiancheng Han, Xiaoqing Sun, Siqi Luo, Mengmeng Wang, Bin Fu, Yuewen Cao, Hongsheng Li, Guangtao Zhai, Xiaohong Liu, Yu Qiao, Peng Gao

CoRR, July, 2025

Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation.

Yi Xin, Le Zhuo, Qi Qin, Siqi Luo, Yuewen Cao, Bin Fu, Yangfan He, Hongsheng Li, Guangtao Zhai, Xiaohong Liu, Peng Gao

CoRR, July, 2025

Partitioner Guided Modal Learning Framework.

Guimin Hu, Yi Xin, Lijie Hu, Zhihong Zhu, Hasti Seifi

CoRR, July, 2025

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models.

Yifan Jia, Kailin Jiang, Yuyang Liang, Qihan Ren, Yi Xin, Rui Yang, Fenze Feng, Mingcai Chen, Hengyang Lu, Haozhe Wang, Xiaoye Qu, Dongrui Liu, Lizhen Cui, Yuntao Du

CoRR, May, 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, Jiakang Yuan, Xinyue Li, Dongyang Liu, Xiangyang Zhu, Manyuan Zhang, Will Beddow, Erwann Millon, Victor Perez, Wenhai Wang, Conghui He, Bo Zhang, Xiaohong Liu, Hongsheng Li, Yu Qiao, Chang Xu, Peng Gao

CoRR, March, 2025

TIDE : Temporal-Aware Sparse Autoencoders for Interpretable Diffusion Transformers in Image Generation.

Victor Shea-Jay Huang, Le Zhuo, Yi Xin, Zhaokai Wang, Peng Gao, Hongsheng Li

CoRR, March, 2025

Multi-source fully test-time adaptation.

Yuntao Du, Siqi Luo, Yi Xin, Mingcai Chen, Shuai Feng, Mujie Zhang, Chongjun Wang

Neural Networks, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

PgM: Partitioner Guided Modal Learning Framework.

Guimin Hu, Yi Xin, Lijie Hu, Zhihong Zhu, Hasti Seifi

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Towards Emotional Insights in Art: A Knowledge-Driven Framework Integrating Artistic Emotion Knowledge into Vision Language Models.

Haoyang Chen, Hengyang Lu, Yi Xin, Dian Kong, Chongjun Wang

Proceedings of the International Joint Conference on Neural Networks, 2025

D2O: 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

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Knowledge Is Powerful: Art Knowledge-Driven Framework for Painting Style Classification Integrating Multimodal Knowledge.

Haoyang Chen, Chongjun Wang, Yi Xin, Lei Zhang

Proceedings of the 2025 IEEE International Conference on Acoustics, 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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

Mach. Learn., June, 2024

Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling.

Wenze Liu, Le Zhuo, Yi Xin, Sheng Xia, Peng Gao, Xiangyu Yue

CoRR, 2024

Towards Effective User Attribution for Latent Diffusion Models via Watermark-Informed Blending.

Yongyang Pan, Xiaohong Liu, Siqi Luo, Yi Xin, Xiao Guo, Xiaoming Liu, Xiongkuo Min, Guangtao Zhai

CoRR, 2024

Recent Trends of Multimodal Affective Computing: A Survey from NLP Perspective.

Guimin Hu, Yi Xin, Weimin Lyu, Haojian Huang, Chang Sun, Zhihong Zhu, Lin Gui, Ruichu Cai

CoRR, 2024

Enhancing Test Time Adaptation with Few-shot Guidance.

Siqi Luo, Yi Xin, Yuntao Du, Zhongwei Wan, Tao Tan, Guangtao Zhai, Xiaohong Liu

CoRR, 2024

D2O: Dynamic Discriminative Operations for Efficient Generative Inference of Large Language Models.

Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao, Zhihong Zhu, Xin Wang, Siqi Luo, Jing Xiong, Mi Zhang

CoRR, 2024

Sparse-Tuning: Adapting Vision Transformers with Efficient Fine-tuning and Inference.

Ting Liu, Xuyang Liu, Liangtao Shi, Zunnan Xu, Siteng Huang, Yi Xin, Quanjun Yin

CoRR, 2024

Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey.

Yi Xin, Siqi Luo, Haodi Zhou, Junlong Du, Xiaohong Liu, Yue Fan, Qing Li, Yuntao Du

CoRR, 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 E. Lee, Junlong Du, Haozhe Wang, Mingcai Chen, Ting Liu, Guimin Hu, Zhongwei Wan, Rongchao Zhang, Aoxue Li, Mingyang Yi, Xiaohong Liu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning.

Yi Xin, Junlong Du, Qiang Wang, Ke Yan, Shouhong Ding

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding.

Yi Xin, Junlong Du, Qiang Wang, Zhiwen Lin, Ke Yan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Self-Training with Label-Feature-Consistency for Domain Adaptation.

Yi Xin, Siqi Luo, Pengsheng Jin, Yuntao Du, Chongjun Wang

Proceedings of the Database Systems for Advanced Applications, 2023