Extreme Reverse Projection Learning for Zero-Shot Recognition. - Jiechao Guan; An Zhao; Zhiwu Lu 001 (ACCV (1), 2018)

Domain-Invariant Projection Learning for Zero-Shot Recognition. - An Zhao; Mingyu Ding; Jiechao Guan; Zhiwu Lu 001; Tao Xiang 002; Ji-Rong Wen (NeurIPS, 2018)

Zero-Shot Learning with Sparse Attribute Propagation. - Nanyi Fei; Jiajun Liu; Jiechao Guan; Zhiwu Lu 001; Tao Xiang 002; Ji-Rong Wen (CoRR, 2018)

Zero-Shot Learning with Few Seen Class Samples. - Yuqi Huo; Jiechao Guan; Jianhong Zhang; Manli Zhang; Ji-Rong Wen; Zhiwu Lu 001 (ICME, 2019)

Joint Projection and Subspace Learning for Zero-Shot Recognition. - Guangzhen Liu; Jiechao Guan; Manli Zhang; Jianhong Zhang; Zihao Wang; Zhiwu Lu 001 (ICME, 2019)

Few-Shot Zero-Shot Learning: Knowledge Transfer with Less Supervision. - Nanyi Fei; Jiechao Guan; Zhiwu Lu 001; Yizhao Gao 004 (ACCV (3), 2020)

Large-Scale Cross-Domain Few-Shot Learning. - Jiechao Guan; Manli Zhang; Zhiwu Lu 001 (ACCV (3), 2020)

Domain-Adaptive Few-Shot Learning. - An Zhao; Mingyu Ding; Zhiwu Lu 001; Tao Xiang 002; Yulei Niu; Jiechao Guan; Ji-Rong Wen; Ping Luo 002 (CoRR, 2020)

Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding. - Jiechao Guan; Zhiwu Lu 001; Tao Xiang 002; Timothy M. Hospedales (CoRR, 2020)

Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning. - Aoxue Li; Zhiwu Lu 001; Jiechao Guan; Tao Xiang 002; Liwei Wang 001; Ji-Rong Wen (Int. J. Comput. Vis., 2020)

Domain-Adaptive Few-Shot Learning. - An Zhao; Mingyu Ding; Zhiwu Lu 001; Tao Xiang 002; Yulei Niu; Jiechao Guan; Ji-Rong Wen (WACV, 2021)

Zero and Few Shot Learning With Semantic Feature Synthesis and Competitive Learning. - Jiechao Guan; Zhiwu Lu 001; Tao Xiang 002; Aoxue Li; An Zhao; Ji-Rong Wen (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Task Relatedness-Based Generalization Bounds for Meta Learning. - Jiechao Guan; Zhiwu Lu 001 (ICLR, 2022)

Fast-Rate PAC-Bayesian Generalization Bounds for Meta-Learning. - Jiechao Guan; Zhiwu Lu 001 (ICML, 2022)

Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms. - Jiechao Guan; Yong Liu 018; Zhiwu Lu 001 (NeurIPS, 2022)

Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning. - Jiechao Guan; Hui Xiong 001 (ICLR, 2024)

Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms. - Jiechao Guan; Hui Xiong 001 (NeurIPS, 2024)