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ORCIDQinyu Zhao
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2020 – today
- 2026
[j3]Yutong Zhang, Yuefei Wang
, Yuxuan Wan, Qinyu Zhao, Liangyan Zhao, Binxiong Li, Li Zhang, Zhixuan Chen:
A carving hierarchical information integration network for medical image segmentation. Pattern Recognit. 171: 112291 (2026)- [i10]Hongcan Guo, Qinyu Zhao, Yian Zhao, Shen Nie, Rui Zhu, Qiushan Guo, Feng Wang, Tao Yang, Hengshuang Zhao, Guoqiang Wei, Yan Zeng:
Continuous Latent Diffusion Language Model. CoRR abs/2605.06548 (2026) - 2025
- [j2]Qinyu Zhao, Luyan Ji, Yonggang Su, Kai Yu, Yongchao Zhao:
Monitoring Changes to Small-Sized Lakes Using Medium Spatial and Temporal Satellite Imagery in the Badain Jaran Desert from 2015 to 2020. Int. J. Crowd Sci. 9(2): 96-109 (2025) - [c4]Shu Zou, Xinyu Tian, Qinyu Zhao, Zhaoyuan Yang, Jing Zhang:
SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models. AI (1) 2025: 110-121 - [c3]Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould:
Can We Predict Performance of Large Models across Vision-Language Tasks? ICML 2025 - [i9]Shu Zou, Xinyu Tian, Qinyu Zhao, Zhaoyuan Yang, Jing Zhang:
SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models. CoRR abs/2501.11485 (2025) - [i8]Qinyu Zhao, Stephen Gould, Liang Zheng:
ARINAR: Bi-Level Autoregressive Feature-by-Feature Generative Models. CoRR abs/2503.02883 (2025) - [i7]Qinyu Zhao, Jaskirat Singh, Ming Xu, Akshay Asthana, Stephen Gould, Liang Zheng:
DiSA: Diffusion Step Annealing in Autoregressive Image Generation. CoRR abs/2505.20297 (2025) - [i6]Binxiong Li, Xu Xiang, Xue Li, Binyu Zhao, Heyang Gao, Qinyu Zhao:
Tri-Learn Graph Fusion Network for Attributed Graph Clustering. CoRR abs/2507.13620 (2025) - [i5]Guangting Zheng, Qinyu Zhao, Tao Yang, Fei Xiao, Zhijie Lin, Jie Wu, Jiajun Deng, Yanyong Zhang, Rui Zhu:
FARMER: Flow AutoRegressive Transformer over Pixels. CoRR abs/2510.23588 (2025) - [i4]Qinyu Zhao, Guangting Zheng, Tao Yang, Rui Zhu, Xingjian Leng, Stephen Gould, Liang Zheng:
SimFlow: Simplified and End-to-End Training of Latent Normalizing Flows. CoRR abs/2512.04084 (2025) - 2024
- [c2]Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould:
The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models? ECCV (48) 2024: 127-142 - [c1]Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould:
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection. ICLR 2024 - [i3]Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould:
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection. CoRR abs/2402.00865 (2024) - [i2]Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould:
The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models? CoRR abs/2403.09037 (2024) - [i1]Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould:
Can We Predict Performance of Large Models across Vision-Language Tasks? CoRR abs/2410.10112 (2024) - 2023
- [j1]Qinyu Zhao, Luyan Ji, Yonggang Su, Yongchao Zhao, Jiancheng Shi:
SRSF-GAN: A Super-Resolution-Based Spatial Fusion With GAN for Satellite Images With Different Spatial and Temporal Resolutions. IEEE Trans. Geosci. Remote. Sens. 61: 1-19 (2023)
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