Concatenated Tensor Networks for Deep Multi-Task Learning. - Maolin Wang 001; Zeyong Su; Xu Luo 003; Yu Pan 005; Shenggen Zheng; Zenglin Xu (ICONIP (5), 2020)

Boosting Few-Shot Classification with View-Learnable Contrastive Learning. - Xu Luo 003; Yuxuan Chen; Liangjian Wen; Lili Pan 001; Zenglin Xu (ICME, 2021)

Rectifying the Shortcut Learning of Background for Few-Shot Learning. - Xu Luo 003; Longhui Wei; Liangjian Wen; Jinrong Yang; Lingxi Xie; Zenglin Xu; Qi Tian 001 (NeurIPS, 2021)

Rectifying the Shortcut Learning of Background: Shared Object Concentration for Few-Shot Image Recognition. - Xu Luo 003; Longhui Wei; Liangjian Wen; Jinrong Yang; Lingxi Xie; Zenglin Xu; Qi Tian 001 (CoRR, 2021)

Exploring Category-correlated Feature for Few-shot Image Classification. - Jing Xu; Xinglin Pan; Xu Luo 003; Wenjie Pei; Zenglin Xu (CoRR, 2021)

Channel Importance Matters in Few-Shot Image Classification. - Xu Luo 003; Jing Xu; Zenglin Xu (ICML, 2022)

Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid. - Jing Xu; Xu Luo 003; Xinglin Pan; Yanan Li; Wenjie Pei; Zenglin Xu (NeurIPS, 2022)

DETA: Denoised Task Adaptation for Few-Shot Learning. - Ji Zhang 012; Lianli Gao; Xu Luo 003; Hengtao Shen; Jingkuan Song (ICCV, 2023)

A Closer Look at Few-shot Classification Again. - Xu Luo 003; Hao Wu 070; Ji Zhang 012; Lianli Gao; Jing Xu; Jingkuan Song (ICML, 2023)

Less is More: On the Feature Redundancy of Pretrained Models When Transferring to Few-shot Tasks. - Xu Luo 003; Difan Zou; Lianli Gao; Zenglin Xu; Jingkuan Song (CoRR, 2023)

CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models. - Cheng Chen; Junchen Zhu; Xu Luo 003; Hengtao Shen; Jingkuan Song; Lianli Gao (NeurIPS, 2024)

CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language Model. - Cheng Chen; Junchen Zhu; Xu Luo 003; Hengtao Shen; Lianli Gao; Jingkuan Song (CoRR, 2024)

Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance. - Dun Zeng; Zenglin Xu; Yu Pan 005; Xu Luo 003; Qifan Wang 001; Xiaoying Tang 002 (Trans. Mach. Learn. Res., 2025)

Policy Contrastive Decoding for Robotic Foundation Models. - Shihan Wu 001; Ji Zhang 012; Xu Luo 003; Junlin Xie; Jingkuan Song; Heng Tao Shen; Lianli Gao (CoRR, 2025)

InSpire: Vision-Language-Action Models with Intrinsic Spatial Reasoning. - Ji Zhang 012; Shihan Wu 001; Xu Luo 003; Hao Wu 070; Lianli Gao; Heng Tao Shen; Jingkuan Song (CoRR, 2025)

Unlocking Smarter Device Control: Foresighted Planning with a World Model-Driven Code Execution Approach. - Xiaoran Yin; Xu Luo 003; Hao Wu 070; Lianli Gao; Jingkuan Song (CoRR, 2025)

Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation. - Youguang Xing; Xu Luo 003; Junlin Xie; Lianli Gao; Hengtao Shen; Jingkuan Song (CoRR, 2025)