Mixture Uniform Distribution Modeling and Asymmetric Mix Distillation for Class Incremental Learning. - Sunyuan Qiang; Jiayi Hou; Jun Wan 001; Yanyan Liang 001; Zhen Lei 001; Du Zhang (AAAI, 2023)

Semantic Segmentation Active Learning with Scene Coverage CoreSet. - Hailun Liang; Sunyuan Qiang; Hui Ma; Jun Wan 001; Yanyan Liang 001 (CCBR (2), 2024)

CalibRBEV: Multi-Camera Calibration via Reversed Bird's-eye-view Representations for Autonomous Driving. - Wenlong Liao; Sunyuan Qiang; Xianfei Li; Xiaolei Chen; Haoyu Wang; Yanyan Liang 001; Junchi Yan; Tao He; Pai Peng (ACM Multimedia, 2024)

Adapt and Refine: A Few-Shot Class-Incremental Learner via Pre-Trained Models. - Sunyuan Qiang; Zhu Xiong; Yanyan Liang 001; Jun Wan 001; Du Zhang (PRCV (1), 2024)

Dynamic Feature Learning and Matching for Class-Incremental Learning. - Sunyuan Qiang; Yanyan Liang 001; Jun Wan 001; Du Zhang (CoRR, 2024)

Open-Vocabulary Object Detection via Neighboring Region Attention Alignment. - Sunyuan Qiang; Xianfei Li; Yanyan Liang 001; Wenlong Liao; Tao He; Pai Peng (CoRR, 2024)

FeTT: Continual Class Incremental Learning via Feature Transformation Tuning. - Sunyuan Qiang; Xuxin Lin; Yanyan Liang 001; Jun Wan 001; Du Zhang (CoRR, 2024)

LLM-DiffAug: Enhancing few-shot object detection via LLM-Guided diffusion augmentation. - Yunqing Jiang; Sunyuan Qiang; Wuchen Li; Yanyan Liang 001 (Knowl. Based Syst., 2025)

Collaborative Adapter Experts for Class-Incremental Learning. - Sunyuan Qiang; Xinxing Yu; Yanyan Liang 001; Jun Wan 001; Du Zhang (IEEE Signal Process. Lett., 2025)