Yi Xin

According to our database, Yi Xin authored at least 23 papers between 2023 and 2025.

Collaborative distances:

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

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

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

CoRR, July, 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

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

CoRR, June, 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

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

CoRR, April, 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

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

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 AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 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

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

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 38: 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