Prototype Mixture Models for Few-Shot Semantic Segmentation. - Boyu Yang 002; Chang Liu 042; Bohao Li; Jianbin Jiao; Qixiang Ye (ECCV (8), 2020)

Beyond Max-Margin: Class Margin Equilibrium for Few-Shot Object Detection. - Bohao Li; Boyu Yang 002; Chang Liu 042; Feng Liu; Rongrong Ji; Qixiang Ye (CVPR, 2021)

Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning. - Boyu Yang 002; Mingbao Lin; Binghao Liu; Mengying Fu; Chang Liu 042; Rongrong Ji; Qixiang Ye (CoRR, 2021)

Part-Based Semantic Transform for Few-Shot Semantic Segmentation. - Boyu Yang 002; Fang Wan 001; Chang Liu 047; Bohao Li; Xiangyang Ji; Qixiang Ye (IEEE Trans. Neural Networks Learn. Syst., 2022)

Dynamic Support Network for Few-Shot Class Incremental Learning. - Boyu Yang 002; Mingbao Lin; Yunxiao Zhang; Binghao Liu; Xiaodan Liang; Rongrong Ji; Qixiang Ye (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Learnable Distribution Calibration for Few-Shot Class-Incremental Learning. - Binghao Liu; Boyu Yang 002; Lingxi Xie; Ren Wang; Qi Tian 001; Qixiang Ye (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

ClawMachine: Fetching Visual Tokens as An Entity for Referring and Grounding. - Tianren Ma; Lingxi Xie; Yunjie Tian; Boyu Yang 002; Yuan Zhang; David S. Doermann; Qixiang Ye (CoRR, 2024)

ClawMachine: Learning to Fetch Visual Tokens for Referential Comprehension. - Tianren Ma; Lingxi Xie; Yunjie Tian; Boyu Yang 002; Qixiang Ye (ICLR, 2025)

ReDDiT: Rehashing Noise for Discrete Visual Generation. - Tianren Ma; Xiaosong Zhang 004; Boyu Yang 002; Junlan Feng; Qixiang Ye (CoRR, 2025)