Qinkai Yu

According to our database, Qinkai Yu authored at least 21 papers between 2023 and 2026.

Collaborative distances:

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

2026

RealRoute: Dynamic Query Routing System via Retrieve-then-Verify Paradigm.

Jiahe Liu, Qinkai Yu, Jingcheng Niu, Xi Zhu, Zirui He, Zhen Xiang, Fan Yang, Jinman Zhao

CoRR, April, 2026

StealthMark: Harmless and Stealthy Ownership Verification for Medical Segmentation via Uncertainty-Guided Backdoors.

Qinkai Yu, Chong Zhang, Gaojie Jin, Tianjin Huang, Wei Zhou, Wenhui Li, Xiaobo Jin, Bo Huang, Yitian Zhao, Guang Yang, Gregory Yoke Hong Lip, Yalin Zheng, Aline Villavicencio, Yanda Meng

IEEE Trans. Image Process., 2026

Leveraging Persistence Image to Enhance Robustness and Performance in Curvilinear Structure Segmentation.

Zhuangzhi Gao, Feixiang Zhou, He Zhao, Xiuju Chen, Xiaoxin Li, Qinkai Yu, Yitian Zhao, Alena Shantsila, Gregory Yoke Hong Lip, Eduard Shantsila, Yalin Zheng

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

GROK: From Quantitative Biomarkers to Qualitative Diagnosis via a Grounded MLLM with Knowledge-Guided Instruction.

Zhuangzhi Gao, Hongyi Qin, He Zhao, Qinkai Yu, Feixiang Zhou, Eduard Shantsila, Uazman Alam, Alena Shantsila, Wahbi K. El-Bouri, Gregory Yoke Hong Lip, Yalin Zheng

CoRR, October, 2025

Two-stage effective attentional generative adversarial network.

Mingyu Jin, Qinkai Yu, Chong Zhang, Haochen Xue, Shuliang Zhao

Appl. Intell., June, 2025

A Clinician-Friendly Platform for Ophthalmic Image Analysis Without Technical Barriers.

Meng Wang, Tian Lin, Qingshan Hou, Aidi Lin, Jingcheng Wang, Qingsheng Peng, Truong X. Nguyen, Danqi Fang, Ke Zou, Ting Xu, Cancan Xue, Ten Cheer Quek, Qinkai Yu, Minxin Liu, Hui Zhou, Zixuan Xiao, Guiqin He, Huiyu Liang, Tingkun Shi, Man Chen, Linna Liu, Yuanyuan Peng, Lianyu Wang, Qiuming Hu, Junhong Chen, Zhenhua Zhang, Cheng Chen, Yitian Zhao, Dianbo Liu, Jianhua Wu, Xinjian Chen, Changqing Zhang, Triet Thanh Nguyen, Yanda Meng, Yalin Zheng, Yih Chung Tham, Carol Y. Cheung, Huazhu Fu, Haoyu Chen, Ching-Yu Cheng

CoRR, April, 2025

Parameterized Diffusion Optimization Enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading.

Qinkai Yu, Wei Zhou, Hantao Liu, Yanyu Xu, Meng Wang, Yitian Zhao, Huazhu Fu, Xujiong Ye, Yalin Zheng, Yanda Meng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport.

Qinkai Yu, Jianyang Xie, Yitian Zhao, Cheng Chen, Lijun Zhang, Liming Chen, Jun Cheng, Lu Liu, Yalin Zheng, Yanda Meng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?

Mingyu Jin, Qinkai Yu, Jingyuan Huang, Qingcheng Zeng, Zhenting Wang, Wenyue Hua, Haiyan Zhao, Kai Mei, Yanda Meng, Kaize Ding, Fan Yang, Mengnan Du, Yongfeng Zhang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Uncertainty Quantification for Multiple-Choice Questions is Just One-Token Deep.

Qingcheng Zeng, Mingyu Jin, Qinkai Yu, Zhenting Wang, Wenyue Hua, Guangyan Sun, Yanda Meng, Shiqing Ma, Qifan Wang, Felix Juefei-Xu, Fan Yang, Kaize Ding, Ruixiang Tang, Yongfeng Zhang

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities.

Hua Tang, Chong Zhang, Mingyu Jin, Qinkai Yu, Zhenting Wang, Xiaobo Jin, Yongfeng Zhang, Mengnan Du

SIGKDD Explor., December, 2024

Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models.

Qingcheng Zeng, Mingyu Jin, Qinkai Yu, Zhenting Wang, Wenyue Hua, Zihao Zhou, Guangyan Sun, Yanda Meng, Shiqing Ma, Qifan Wang, Felix Juefei-Xu, Kaize Ding, Fan Yang, Ruixiang Tang, Yongfeng Zhang

CoRR, 2024

Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?

Mingyu Jin, Qinkai Yu, Jingyuan Huang, Qingcheng Zeng, Zhenting Wang, Wenyue Hua, Haiyan Zhao, Kai Mei, Yanda Meng, Kaize Ding, Fan Yang, Mengnan Du, Yongfeng Zhang

CoRR, 2024

Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities.

Mingyu Jin, Hua Tang, Chong Zhang, Qinkai Yu, Chengzhi Liu, Suiyuan Zhu, Yongfeng Zhang, Mengnan Du

CoRR, 2024

Health-LLM: Personalized Retrieval-Augmented Disease Prediction System.

Mingyu Jin, Qinkai Yu, Dong Shu, Chong Zhang, Lizhou Fan, Wenyue Hua, Suiyuan Zhu, Yanda Meng, Zhenting Wang, Mengnan Du, Yongfeng Zhang, Yanda Meng

CoRR, 2024

CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-Aware Prompting.

Qinkai Yu, Jianyang Xie, Anh Nguyen, He Zhao, Jiong Zhang, Huazhu Fu, Yitian Zhao, Yalin Zheng, Yanda Meng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Goal-Guided Generative Prompt Injection Attack on Large Language Models.

Chong Zhang, Mingyu Jin, Qinkai Yu, Chengzhi Liu, Haochen Xue, Xiaobo Jin

Proceedings of the IEEE International Conference on Data Mining, 2024

The Impact of Reasoning Step Length on Large Language Models.

Mingyu Jin, Qinkai Yu, Dong Shu, Haiyan Zhao, Wenyue Hua, Yanda Meng, Yongfeng Zhang, Mengnan Du

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning.

Chong Zhang, Mingyu Jin, Qinkai Yu, Haochen Xue, Shreyank N. Gowda, Xiaobo Jin

Proceedings of the Computer Vision - ACCV 2024, 2024

2023

Metric Learning for Projections Bias of Generalized Zero-shot Learning.

Chong Zhang, Mingyu Jin, Qinkai Yu, Haochen Xue, Xiaobo Jin

CoRR, 2023

A Simple and Effective Baseline for Attentional Generative Adversarial Networks.

Mingyu Jin, Chong Zhang, Qinkai Yu, Haochen Xue, Xiaobo Jin, Xi Yang

CoRR, 2023