Collaborative Training Between Region Proposal Localization and Classification for Domain Adaptive Object Detection. - Ganlong Zhao; Guanbin Li; Ruijia Xu; Liang Lin (ECCV (18), 2020)

Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels. - Ganlong Zhao; Guanbin Li; Yipeng Qin; Feng Liu 036; Yizhou Yu (ECCV (25), 2022)

Improved Distribution Matching for Dataset Condensation. - Ganlong Zhao; Guanbin Li; Yipeng Qin; Yizhou Yu (CVPR, 2023)

GraphVAE: Unveiling Dynamic Stock Relationships with Variational Autoencoder-based Factor Modeling. - Yulong Jia; Guanxing Li; Ganlong Zhao; Xiangru Lin; Guanbin Li (CIKM, 2024)

OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd Representation. - Ganlong Zhao; Guanbin Li; Weikai Chen 001; Yizhou Yu (CVPR, 2024)

Exploration and Exploitation of Unlabeled Data for Open-Set Semi-supervised Learning. - Ganlong Zhao; Guanbin Li; Yipeng Qin; Jinjin Zhang; Zhenhua Chai; Xiaolin Wei; Liang Lin; Yizhou Yu (Int. J. Comput. Vis., 2024)

Enhancing out-of-distribution detection via diversified multi-prototype contrastive learning. - Yulong Jia; Jiaming Li; Ganlong Zhao; Shuangyin Liu; Weijun Sun; Liang Lin; Guanbin Li (Pattern Recognit., 2025)

Aerial Vision-and-Language Navigation with Grid-based View Selection and Map Construction. - Ganlong Zhao; Guanbin Li; Jia Pan 001; Yizhou Yu (CoRR, 2025)