Yi Xin - RankMe

42 papers A* 8B 1Misc 1Journal 31Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerating Masked Image Generation by Learning Latent Controlled Dynamics. CoRR Kaiwen Zhu, Quansheng Zeng, Yuandong Pu, Shuo Cao, Xiaohui Li, Yi Xin, Qi Qin, Jiayang Li, Yu Qiao, Jinjin Gu, Yihao Liu
2026	A*	`conf`	Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models. AAAI 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
2026	J	`jnl`	InternVL-U: Democratizing Unified Multimodal Models for Understanding, Reasoning, Generation and Editing. CoRR 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
2026	J	`jnl`	Lumina-mGPT: Flexible Photorealistic Autoregressive Text-to-Image Generation. Int. J. Comput. Vis. Dongyang Liu, Yi Xin, Shitian Zhao, Le Zhuo, Weifeng Lin, Xinyue Li, Qi Qin, Guangtao Zhai, Xiaohong Liu, Hongsheng Li, Yu Qiao, Peng Gao
2026	J	`jnl`	Modality Gap-Driven Subspace Alignment Training Paradigm For Multimodal Large Language Models. CoRR 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
2026	J	`jnl`	Prism: Efficient Test-Time Scaling via Hierarchical Search and Self-Verification for Discrete Diffusion Language Models. CoRR Jinbin Bai, Yixuan Li, Yuchen Zhu, Yi Xin, Qingyu Shi, Aosong Feng, Xiaohong Liu, Molei Tao, Jianru Xue, Xiangtai Li, Ming-Hsuan Yang
2026	A*	`conf`	TIDE: Temporal-Aware Sparse Autoencoders for Interpretable Diffusion Transformers in Image Generation. AAAI Victor Shea-Jay Huang, Le Zhuo, Yi Xin, Zhaokai Wang, Fu-Yun Wang, Yuchi Wang, Renrui Zhang, Peng Gao, Hongsheng Li
2026	J	`jnl`	Training-Free Acceleration for Document Parsing Vision-Language Model with Hierarchical Speculative Decoding. CoRR 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
2025	J	`jnl`	Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models. CoRR 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
2025	A*	`conf`	D2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models. ICLR Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao, Zhihong Zhu, Xin Wang, Siqi Luo, Jing Xiong, Longyue Wang, Mi Zhang
2025	J	`jnl`	From Masks to Worlds: A Hitchhiker's Guide to World Models. CoRR Jinbin Bai, Yu Lei, Hecong Wu, Yuchen Zhu, Shufan Li, Yi Xin, Xiangtai Li, Molei Tao, Aditya Grover, Ming-Hsuan Yang
2025	J	`jnl`	From Reflection to Perfection: Scaling Inference-Time Optimization for Text-to-Image Diffusion Models via Reflection Tuning. CoRR Le Zhuo, Liangbing Zhao, Sayak Paul, Yue Liao, Renrui Zhang, Yi Xin, Peng Gao, Mohamed Elhoseiny, Hongsheng Li
2025	Misc	`conf`	Knowledge Is Powerful: Art Knowledge-Driven Framework for Painting Style Classification Integrating Multimodal Knowledge. ICASSP Haoyang Chen, Chongjun Wang, Yi Xin, Lei Zhang
2025	J	`jnl`	LayerT2V: Interactive Multi-Object Trajectory Layering for Video Generation. CoRR Kangrui Cen, Baixuan Zhao, Yi Xin, Siqi Luo, Guangtao Zhai, Xiaohong Liu
2025	J	`jnl`	Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding. CoRR 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
2025	J	`jnl`	Lumina-Image 2.0: A Unified and Efficient Image Generative Framework. CoRR 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
2025	J	`jnl`	Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling. CoRR 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
2025	J	`jnl`	Multi-source fully test-time adaptation. Neural Networks Yuntao Du, Siqi Luo, Yi Xin, Mingcai Chen, Shuai Feng, Mujie Zhang, Chongjun Wang
2025	J	`jnl`	Partitioner Guided Modal Learning Framework. CoRR Guimin Hu, Yi Xin, Lijie Hu, Zhihong Zhu, Hasti Seifi
2025	A*	`conf`	PgM: Partitioner Guided Modal Learning Framework. ACM Multimedia Guimin Hu, Yi Xin, Lijie Hu, Zhihong Zhu, Hasti Seifi
2025	J	`jnl`	Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation. CoRR Yi Xin, Le Zhuo, Qi Qin, Siqi Luo, Yuewen Cao, Bin Fu, Yangfan He, Hongsheng Li, Guangtao Zhai, Xiaohong Liu, Peng Gao
2025	A*	`conf`	Robust Logit Adjustment for Learning with Long-Tailed Noisy Data. AAAI Mingcai Chen, Yuntao Du, Wenyu Jiang, Baoming Zhang, Shuai Feng, Yi Xin, Chongjun Wang
2025	J	`jnl`	SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning. CoRR 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
2025	J	`jnl`	TIDE : Temporal-Aware Sparse Autoencoders for Interpretable Diffusion Transformers in Image Generation. CoRR Victor Shea-Jay Huang, Le Zhuo, Yi Xin, Zhaokai Wang, Peng Gao, Hongsheng Li
2025	J	`jnl`	TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning. CoRR Siqi Luo, Haoran Yang, Yi Xin, Mingyang Yi, Guangyang Wu, Guangtao Zhai, Xiaohong Liu
2025	B	`conf`	Towards Emotional Insights in Art: A Knowledge-Driven Framework Integrating Artistic Emotion Knowledge into Vision Language Models. IJCNN Haoyang Chen, Hengyang Lu, Yi Xin, Dian Kong, Chongjun Wang
2025	J	`jnl`	UniMedVL: Unifying Medical Multimodal Understanding And Generation Through Observation-Knowledge-Analysis. CoRR 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
2025	J	`jnl`	UniPercept: Towards Unified Perceptual-Level Image Understanding across Aesthetics, Quality, Structure, and Texture. CoRR 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
2025	J	`jnl`	dMLLM-TTS: Self-Verified and Efficient Test-Time Scaling for Diffusion Multi-Modal Large Language Models. CoRR 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
2024	J	`jnl`	Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling. CoRR Wenze Liu, Le Zhuo, Yi Xin, Sheng Xia, Peng Gao, Xiangyu Yue
2024	J	`jnl`	D2O: Dynamic Discriminative Operations for Efficient Generative Inference of Large Language Models. CoRR Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao, Zhihong Zhu, Xin Wang, Siqi Luo, Jing Xiong, Mi Zhang
2024	J	`jnl`	Enhancing Test Time Adaptation with Few-shot Guidance. CoRR Siqi Luo, Yi Xin, Yuntao Du, Zhongwei Wan, Tao Tan, Guangtao Zhai, Xiaohong Liu
2024	J	`jnl`	Generation, augmentation, and alignment: a pseudo-source domain based method for source-free domain adaptation. Mach. Learn. Yuntao Du, Haiyang Yang, Mingcai Chen, Hongtao Luo, Juan Jiang, Yi Xin, Chongjun Wang
2024	A*	`conf`	MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning. AAAI Yi Xin, Junlong Du, Qiang Wang, Ke Yan, Shouhong Ding
2024	J	`jnl`	Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey. CoRR Yi Xin, Siqi Luo, Haodi Zhou, Junlong Du, Xiaohong Liu, Yue Fan, Qing Li, Yuntao Du
2024	J	`jnl`	Recent Trends of Multimodal Affective Computing: A Survey from NLP Perspective. CoRR Guimin Hu, Yi Xin, Weimin Lyu, Haojian Huang, Chang Sun, Zhihong Zhu, Lin Gui, Ruichu Cai
2024	J	`jnl`	Towards Effective User Attribution for Latent Diffusion Models via Watermark-Informed Blending. CoRR Yongyang Pan, Xiaohong Liu, Siqi Luo, Yi Xin, Xiao Guo, Xiaoming Liu, Xiongkuo Min, Guangtao Zhai
2024	A*	`conf`	V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark. NeurIPS 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
2024	A*	`conf`	VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding. AAAI Yi Xin, Junlong Du, Qiang Wang, Zhiwen Lin, Ke Yan
2023	J	`jnl`	MmAP : Multi-modal Alignment Prompt for Cross-domain Multi-task Learning. CoRR Yi Xin, Junlong Du, Qiang Wang, Ke Yan, Shouhong Ding
2023	—	`conf`	Self-Training with Label-Feature-Consistency for Domain Adaptation. DASFAA (4) Yi Xin, Siqi Luo, Pengsheng Jin, Yuntao Du, Chongjun Wang
2023	J	`jnl`	VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding. CoRR Yi Xin, Junlong Du, Qiang Wang, Zhiwen Lin, Ke Yan