Deep Dual-view Network with Smooth Loss for Spinal Metastases Classification. - Haoyan Guan; Guangyu Yao; Yexun Zhang; Yujun Gu; Hui Zhao; Ya Zhang 002; Xiao Gu 001 (VCIP, 2018)

Registration Based Few-Shot Anomaly Detection. - Chaoqin Huang; Haoyan Guan; Aofan Jiang; Ya Zhang 002; Michael W. Spratling; Yanfeng Wang 001 (ECCV (24), 2022)

CobNet: Cross Attention on Object and Background for Few-Shot Segmentation. - Haoyan Guan; Michael W. Spratling (ICPR, 2022)

Rethinking the Backbone Architecture for Tiny Object Detection. - Jinlai Ning; Haoyan Guan; Michael W. Spratling (VISIGRAPP (5: VISAPP), 2023)

One Prompt Word is Enough to Boost Adversarial Robustness for Pre-Trained Vision-Language Models. - Lin Li 070; Haoyan Guan; Jianing Qiu; Michael W. Spratling (CVPR, 2024)

Query semantic reconstruction for background in few-shot segmentation. - Haoyan Guan; Michael W. Spratling (Vis. Comput., 2024)

Object-Driven Narrative in AR: A Scenario-Metaphor Framework with VLM Integration. - Sun Yusi; Haoyan Guan; Leith Kin Yip Chan; Yong Hong Kuo (CoRR, 2025)

Few-Shot Anomaly Detection via Category-Agnostic Registration Learning. - Chaoqin Huang; Haoyan Guan; Aofan Jiang; Ya Zhang 002; Michael W. Spratling; Xinchao Wang; Yanfeng Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)