A Simple and Effective Baseline for Attentional Generative Adversarial Networks. - Mingyu Jin; Chong Zhang 006; Qinkai Yu; Haochen Xue; Xiaobo Jin; Xi Yang (CoRR, 2023)

Metric Learning for Projections Bias of Generalized Zero-shot Learning. - Chong Zhang 006; Mingyu Jin; Qinkai Yu; Haochen Xue; Xiaobo Jin (CoRR, 2023)

Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning. - Chong Zhang 006; Mingyu Jin; Qinkai Yu; Haochen Xue; Shreyank N. Gowda; Xiaobo Jin (ACCV (8), 2024)

The Impact of Reasoning Step Length on Large Language Models. - Mingyu Jin; Qinkai Yu; Dong Shu; Haiyan Zhao 003; Wenyue Hua; Yanda Meng; Yongfeng Zhang; Mengnan Du (ACL (Findings), 2024)

Goal-Guided Generative Prompt Injection Attack on Large Language Models. - Chong Zhang 006; Mingyu Jin; Qinkai Yu; Chengzhi Liu; Haochen Xue; Xiaobo Jin (ICDM, 2024)

CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-Aware Prompting. - Qinkai Yu; Jianyang Xie; Anh Nguyen 003; He Zhao; Jiong Zhang; Huazhu Fu; Yitian Zhao; Yalin Zheng; Yanda Meng (MICCAI (1), 2024)

Health-LLM: Personalized Retrieval-Augmented Disease Prediction System. - Mingyu Jin; Qinkai Yu; Dong Shu; Chong Zhang 006; Lizhou Fan; Wenyue Hua; Suiyuan Zhu; Yanda Meng; Zhenting Wang; Mengnan Du; Yongfeng Zhang; Yanda Meng (CoRR, 2024)

Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities. - Mingyu Jin; Hua Tang; Chong Zhang 006; Qinkai Yu; Chengzhi Liu; Suiyuan Zhu; Yongfeng Zhang; Mengnan Du (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 003; Kai Mei; Yanda Meng; Kaize Ding; Fan Yang 023; Mengnan Du; et al. (CoRR, 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 001; Felix Juefei-Xu; Kaize Ding; et al. (CoRR, 2024)

Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities. - Hua Tang; Chong Zhang 006; Mingyu Jin; Qinkai Yu; Zhenting Wang; Xiaobo Jin; Yongfeng Zhang; Mengnan Du (SIGKDD Explor., 2024)

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 003; Kai Mei; Yanda Meng; Kaize Ding; Fan Yang 023; Mengnan Du; et al. (COLING, 2025)

A Clinician-Friendly Platform for Ophthalmic Image Analysis Without Technical Barriers. - Meng Wang 038; Tian Lin; Qingshan Hou; Aidi Lin; Jingcheng Wang; Qingsheng Peng; Truong X. Nguyen; Danqi Fang; Ke Zou; Ting Xu; Cancan Xue; Ten Cheer Quek; et al. (CoRR, 2025)

Two-stage effective attentional generative adversarial network. - Mingyu Jin; Qinkai Yu; Chong Zhang 006; Haochen Xue; Shuliang Zhao (Appl. Intell., 2025)

Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading. - Qinkai Yu; Wei Zhou; Hantao Liu; Yanyu Xu; Meng Wang 038; Yitian Zhao; Huazhu Fu; Xujiong Ye; Yalin Zheng; Yanda Meng (CoRR, 2025)

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport. - Qinkai Yu; Jianyang Xie; Yitian Zhao; Cheng Chen 013; Lijun Zhang; Liming Chen; Jun Cheng 003; Lu Liu; Yalin Zheng; Yanda Meng (CoRR, 2025)