Xu Luo - RankMe

24 papers A* 6A 1Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Benchmarking Few-shot Transferability of Pre-trained Models with Improved Evaluation Protocols. CoRR Xu Luo, Ji Zhang, Lianli Gao, Heng Tao Shen, Jingkuan Song
2025	J	`jnl`	Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance. Trans. Mach. Learn. Res. Dun Zeng, Zenglin Xu, Yu Pan, Xu Luo, Qifan Wang, Xiaoying Tang
2025	J	`jnl`	InSpire: Vision-Language-Action Models with Intrinsic Spatial Reasoning. CoRR Ji Zhang, Shihan Wu, Xu Luo, Hao Wu, Lianli Gao, Heng Tao Shen, Jingkuan Song
2025	J	`jnl`	Policy Contrastive Decoding for Robotic Foundation Models. CoRR Shihan Wu, Ji Zhang, Xu Luo, Junlin Xie, Jingkuan Song, Heng Tao Shen, Lianli Gao
2025	J	`jnl`	Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation. CoRR Youguang Xing, Xu Luo, Junlin Xie, Lianli Gao, Hengtao Shen, Jingkuan Song
2025	—	`conf`	Unlocking Smarter Device Control: Foresighted Planning with a World Model-Driven Code Execution Approach. EMNLP (Findings) Xiaoran Yin, Xu Luo, Hao Wu, Lianli Gao, Jingkuan Song
2025	J	`jnl`	Unlocking Smarter Device Control: Foresighted Planning with a World Model-Driven Code Execution Approach. CoRR Xiaoran Yin, Xu Luo, Hao Wu, Lianli Gao, Jingkuan Song
2024	A*	`conf`	CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models. NeurIPS Cheng Chen, Junchen Zhu, Xu Luo, Hengtao Shen, Jingkuan Song, Lianli Gao
2024	J	`jnl`	CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language Model. CoRR Cheng Chen, Junchen Zhu, Xu Luo, Hengtao Shen, Lianli Gao, Jingkuan Song
2023	A*	`conf`	A Closer Look at Few-shot Classification Again. ICML Xu Luo, Hao Wu, Ji Zhang, Lianli Gao, Jing Xu, Jingkuan Song
2023	J	`jnl`	A Closer Look at Few-shot Classification Again. CoRR Xu Luo, Hao Wu, Ji Zhang, Lianli Gao, Jing Xu, Jingkuan Song
2023	A*	`conf`	DETA: Denoised Task Adaptation for Few-Shot Learning. ICCV Ji Zhang, Lianli Gao, Xu Luo, Hengtao Shen, Jingkuan Song
2023	J	`jnl`	DETA: Denoised Task Adaptation for Few-Shot Learning. CoRR Ji Zhang, Lianli Gao, Xu Luo, Hengtao Shen, Jingkuan Song
2023	J	`jnl`	Less is More: On the Feature Redundancy of Pretrained Models When Transferring to Few-shot Tasks. CoRR Xu Luo, Difan Zou, Lianli Gao, Zenglin Xu, Jingkuan Song
2022	A*	`conf`	Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid. NeurIPS Jing Xu, Xu Luo, Xinglin Pan, Yanan Li, Wenjie Pei, Zenglin Xu
2022	J	`jnl`	Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid. CoRR Jing Xu, Xu Luo, Xinglin Pan, Wenjie Pei, Yanan Li, Zenglin Xu
2022	A*	`conf`	Channel Importance Matters in Few-Shot Image Classification. ICML Xu Luo, Jing Xu, Zenglin Xu
2022	J	`jnl`	Channel Importance Matters in Few-Shot Image Classification. CoRR Xu Luo, Jing Xu, Zenglin Xu
2021	A	`conf`	Boosting Few-Shot Classification with View-Learnable Contrastive Learning. ICME Xu Luo, Yuxuan Chen, Liangjian Wen, Lili Pan, Zenglin Xu
2021	J	`jnl`	Boosting Few-Shot Classification with View-Learnable Contrastive Learning. CoRR Xu Luo, Yuxuan Chen, Liangjian Wen, Lili Pan, Zenglin Xu
2021	J	`jnl`	Exploring Category-correlated Feature for Few-shot Image Classification. CoRR Jing Xu, Xinglin Pan, Xu Luo, Wenjie Pei, Zenglin Xu
2021	A*	`conf`	Rectifying the Shortcut Learning of Background for Few-Shot Learning. NeurIPS Xu Luo, Longhui Wei, Liangjian Wen, Jinrong Yang, Lingxi Xie, Zenglin Xu, Qi Tian
2021	J	`jnl`	Rectifying the Shortcut Learning of Background: Shared Object Concentration for Few-Shot Image Recognition. CoRR Xu Luo, Longhui Wei, Liangjian Wen, Jinrong Yang, Lingxi Xie, Zenglin Xu, Qi Tian
2020	—	`conf`	Concatenated Tensor Networks for Deep Multi-Task Learning. ICONIP (5) Maolin Wang, Zeyong Su, Xu Luo, Yu Pan, Shenggen Zheng, Zenglin Xu