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ORCIDYi Xin 0003
Person information
- unicode name: 辛毅
- affiliation: Nanjing University, Department of Computer Science and Technology, State Key Laboratory for Novel Software Technology, China
Other persons with the same name
- Yi Xin — disambiguation page
- Yi Xin 0001 — Beijing Institute of Technology, School of Life Science, Department of Biomedical Engineering, China (and 1 more)
- Yi Xin 0002
![[0000-0001-5855-3837]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5855-3837")
— Harbin Institute of Technology, School of Computer Science and Technology, China
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2020 – today
- 2025
[j2]Yuntao Du, Siqi Luo, Yi Xin, Mingcai Chen, Shuai Feng, Mujie Zhang, Chongjun Wang:
Multi-source fully test-time adaptation. Neural Networks 181: 106661 (2025)- [c9]Mingcai Chen, Yuntao Du, Wenyu Jiang, Baoming Zhang, Shuai Feng, Yi Xin, Chongjun Wang:
Robust Logit Adjustment for Learning with Long-Tailed Noisy Data. AAAI 2025: 15830-15838 - [c8]Haoyang Chen, Chongjun Wang, Yi Xin, Lei Zhang:
Knowledge Is Powerful: Art Knowledge-Driven Framework for Painting Style Classification Integrating Multimodal Knowledge. ICASSP 2025: 1-5 - [c7]Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao, Zhihong Zhu, Xin Wang, Siqi Luo, Jing Xiong, Longyue Wang, Mi Zhang:
D2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models. ICLR 2025 - [c6]Haoyang Chen, Hengyang Lu, Yi Xin, Dian Kong, Chongjun Wang:
Towards Emotional Insights in Art: A Knowledge-Driven Framework Integrating Artistic Emotion Knowledge into Vision Language Models. IJCNN 2025: 1-8 - [c5]Guimin Hu, Yi Xin, Lijie Hu, Zhihong Zhu, Hasti Seifi:
PgM: Partitioner Guided Modal Learning Framework. ACM Multimedia 2025: 2362-2371 - [i22]Victor Shea-Jay Huang, Le Zhuo, Yi Xin, Zhaokai Wang, Peng Gao, Hongsheng Li:
TIDE : Temporal-Aware Sparse Autoencoders for Interpretable Diffusion Transformers in Image Generation. CoRR abs/2503.07050 (2025) - [i21]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:
Lumina-Image 2.0: A Unified and Efficient Image Generative Framework. CoRR abs/2503.21758 (2025) - [i20]Le Zhuo, Liangbing Zhao, Sayak Paul, Yue Liao, Renrui Zhang, Yi Xin, Peng Gao, Mohamed Elhoseiny, Hongsheng Li:
From Reflection to Perfection: Scaling Inference-Time Optimization for Text-to-Image Diffusion Models via Reflection Tuning. CoRR abs/2504.16080 (2025) - [i19]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:
Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models. CoRR abs/2505.19509 (2025) - [i18]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:
SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning. CoRR abs/2506.01713 (2025) - [i17]Guimin Hu, Yi Xin, Lijie Hu, Zhihong Zhu, Hasti Seifi:
Partitioner Guided Modal Learning Framework. CoRR abs/2507.11661 (2025) - [i16]Yi Xin, Le Zhuo, Qi Qin, Siqi Luo, Yuewen Cao, Bin Fu, Yangfan He, Hongsheng Li, Guangtao Zhai, Xiaohong Liu, Peng Gao:
Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation. CoRR abs/2507.13032 (2025) - [i15]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:
Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling. CoRR abs/2507.17801 (2025) - [i14]Siqi Luo, Haoran Yang, Yi Xin, Mingyang Yi, Guangyang Wu, Guangtao Zhai, Xiaohong Liu:
TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning. CoRR abs/2507.22872 (2025) - [i13]Kangrui Cen, Baixuan Zhao, Yi Xin, Siqi Luo, Guangtao Zhai, Xiaohong Liu:
LayerT2V: Interactive Multi-Object Trajectory Layering for Video Generation. CoRR abs/2508.04228 (2025) - [i12]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:
Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding. CoRR abs/2510.06308 (2025) - [i11]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:
UniMedVL: Unifying Medical Multimodal Understanding And Generation Through Observation-Knowledge-Analysis. CoRR abs/2510.15710 (2025) - [i10]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:
dMLLM-TTS: Self-Verified and Efficient Test-Time Scaling for Diffusion Multi-Modal Large Language Models. CoRR abs/2512.19433 (2025) - [i9]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:
UniPercept: Towards Unified Perceptual-Level Image Understanding across Aesthetics, Quality, Structure, and Texture. CoRR abs/2512.21675 (2025) - 2024
- [j1]Yuntao Du, Haiyang Yang, Mingcai Chen, Hongtao Luo, Juan Jiang, Yi Xin, Chongjun Wang:
Generation, augmentation, and alignment: a pseudo-source domain based method for source-free domain adaptation. Mach. Learn. 113(6): 3611-3631 (2024) - [c4]Yi Xin, Junlong Du, Qiang Wang, Ke Yan, Shouhong Ding:
MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning. AAAI 2024: 16076-16084 - [c3]Yi Xin, Junlong Du, Qiang Wang, Zhiwen Lin, Ke Yan:
VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding. AAAI 2024: 16085-16093 - [c2]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:
V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark. NeurIPS 2024 - [i8]Yi Xin, Siqi Luo, Haodi Zhou, Junlong Du, Xiaohong Liu, Yue Fan, Qing Li, Yuntao Du:
Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey. CoRR abs/2402.02242 (2024) - [i7]Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao, Zhihong Zhu, Xin Wang, Siqi Luo, Jing Xiong, Mi Zhang:
D2O: Dynamic Discriminative Operations for Efficient Generative Inference of Large Language Models. CoRR abs/2406.13035 (2024) - [i6]Siqi Luo, Yi Xin, Yuntao Du, Zhongwei Wan, Tao Tan, Guangtao Zhai, Xiaohong Liu:
Enhancing Test Time Adaptation with Few-shot Guidance. CoRR abs/2409.01341 (2024) - [i5]Guimin Hu, Yi Xin, Weimin Lyu, Haojian Huang, Chang Sun, Zhihong Zhu, Lin Gui, Ruichu Cai:
Recent Trends of Multimodal Affective Computing: A Survey from NLP Perspective. CoRR abs/2409.07388 (2024) - [i4]Yongyang Pan, Xiaohong Liu, Siqi Luo, Yi Xin, Xiao Guo, Xiaoming Liu, Xiongkuo Min, Guangtao Zhai:
Towards Effective User Attribution for Latent Diffusion Models via Watermark-Informed Blending. CoRR abs/2409.10958 (2024) - [i3]Wenze Liu, Le Zhuo, Yi Xin, Sheng Xia, Peng Gao, Xiangyu Yue:
Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling. CoRR abs/2410.10511 (2024) - 2023
- [c1]Yi Xin, Siqi Luo, Pengsheng Jin, Yuntao Du, Chongjun Wang:
Self-Training with Label-Feature-Consistency for Domain Adaptation. DASFAA (4) 2023: 84-99 - [i2]Yi Xin, Junlong Du, Qiang Wang, Ke Yan, Shouhong Ding:
MmAP : Multi-modal Alignment Prompt for Cross-domain Multi-task Learning. CoRR abs/2312.08636 (2023) - [i1]Yi Xin, Junlong Du, Qiang Wang, Zhiwen Lin, Ke Yan:
VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding. CoRR abs/2312.08733 (2023)
Coauthor Index
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