Shell Xu Hu - RankMe

43 papers A* 11A 2C 1Journal 27Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamic Expert Sharing: Decoupling Memory from Parallelism in Mixture-of-Experts Diffusion LLMs. CoRR Hao Mark Chen, Zhiwen Mo, Royson Lee, Qianzhou Wang, Da Li, Shell Xu Hu, Wayne Luk, Timothy M. Hospedales, Hongxiang Fan
2026	J	`jnl`	From Misclassifications to Outliers: Joint Reliability Assessment in Classification. CoRR Yang Li, Youyang Sha, Yinzhi Wang, Timothy M. Hospedales, Xi Shen, Shell Xu Hu, Xuanlong Yu
2025	J	`jnl`	Accelerating 3D Gaussian Splatting with Neural Sorting and Axis-Oriented Rasterization. CoRR Zhican Wang, Guanghui He, Dantong Liu, Lingjun Gao, Shell Xu Hu, Chen Zhang, Zhuoran Song, Nicholas D. Lane, Wayne Luk, Hongxiang Fan
2025	J	`jnl`	CLUES: Collaborative High-Quality Data Selection for LLMs via Training Dynamics. CoRR Wanru Zhao, Hongxiang Fan, Shell Xu Hu, Wangchunshu Zhou, Bofan Chen, Nicholas D. Lane
2025	J	`jnl`	FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization. CoRR Hao Mark Chen, Shell Xu Hu, Wayne Luk, Timothy M. Hospedales, Hongxiang Fan
2024	J	`jnl`	BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical Science. CoRR Xinna Lin, Siqi Ma, Junjie Shan, Xiaojing Zhang, Shell Xu Hu, Tiannan Guo, Stan Z. Li, Kaicheng Yu
2024	A*	`conf`	CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics. NeurIPS Wanru Zhao, Hongxiang Fan, Shell Xu Hu, Wangchunshu Zhou, Nicholas D. Lane
2024	J	`jnl`	Compressing Features for Learning With Noisy Labels. IEEE Trans. Neural Networks Learn. Syst. Yingyi Chen, Shell Xu Hu, Xi Shen, Chunrong Ai, Johan A. K. Suykens
2024	A*	`conf`	Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP. EMNLP Samyadeep Basu, Shell Xu Hu, Maziar Sanjabi, Daniela Massiceti, Soheil Feizi
2024	A	`conf`	Feed-Forward Latent Domain Adaptation. WACV Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy M. Hospedales
2024	—	`conf`	MobileQuant: Mobile-friendly Quantization for On-device Language Models. EMNLP (Findings) Fuwen Tan, Royson Lee, Lukasz Dudziak, Shell Xu Hu, Sourav Bhattacharya, Timothy M. Hospedales, Georgios Tzimiropoulos, Brais Martínez
2024	J	`jnl`	MobileQuant: Mobile-friendly Quantization for On-device Language Models. CoRR Fuwen Tan, Royson Lee, Lukasz Dudziak, Shell Xu Hu, Sourav Bhattacharya, Timothy M. Hospedales, Georgios Tzimiropoulos, Brais Martínez
2024	A*	`conf`	Recurrent Early Exits for Federated Learning with Heterogeneous Clients. ICML Royson Lee, Javier Fernández-Marqués, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszár, Nicholas Donald Lane
2024	J	`jnl`	Recurrent Early Exits for Federated Learning with Heterogeneous Clients. CoRR Royson Lee, Javier Fernández-Marqués, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
2024	A*	`conf`	Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning. AAAI Samyadeep Basu, Shell Xu Hu, Daniela Massiceti, Soheil Feizi
2023	J	`jnl`	Augmenting CLIP with Improved Visio-Linguistic Reasoning. CoRR Samyadeep Basu, Maziar Sanjabi, Daniela Massiceti, Shell Xu Hu, Soheil Feizi
2023	J	`jnl`	EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methods. CoRR Samyadeep Basu, Mehrdad Saberi, Shweta Bhardwaj, Atoosa Malemir Chegini, Daniela Massiceti, Maziar Sanjabi, Shell Xu Hu, Soheil Feizi
2023	C	`conf`	Learning Where and When to Reason in Neuro-Symbolic Inference. NeSy Cristina Cornelio, Jan Stühmer, Shell Xu Hu, Timothy M. Hospedales
2023	A*	`conf`	Learning where and when to reason in neuro-symbolic inference. ICLR Cristina Cornelio, Jan Stuehmer, Shell Xu Hu, Timothy M. Hospedales
2023	J	`jnl`	Strong Baselines for Parameter Efficient Few-Shot Fine-tuning. CoRR Samyadeep Basu, Daniela Massiceti, Shell Xu Hu, Soheil Feizi
2023	J	`jnl`	TokenCut: Segmenting Objects in Images and Videos With Self-Supervised Transformer and Normalized Cut. IEEE Trans. Pattern Anal. Mach. Intell. Yangtao Wang, Xi Shen, Yuan Yuan, Yuming Du, Maomao Li, Shell Xu Hu, James L. Crowley, Dominique Vaufreydaz
2022	J	`jnl`	Compressing Features for Learning with Noisy Labels. CoRR Yingyi Chen, Shell Xu Hu, Xi Shen, Chunrong Ai, Johan A. K. Suykens
2022	J	`jnl`	Federated Learning for Inference at Anytime and Anywhere. CoRR Zicheng Liu, Da Li, Javier Fernández-Marqués, Stefanos Laskaridis, Yan Gao, Lukasz Dudziak, Stan Z. Li, Shell Xu Hu, Timothy M. Hospedales
2022	J	`jnl`	Feed-Forward Source-Free Latent Domain Adaptation via Cross-Attention. CoRR Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy M. Hospedales
2022	A*	`conf`	Fisher SAM: Information Geometry and Sharpness Aware Minimisation. ICML Minyoung Kim, Da Li, Shell Xu Hu, Timothy M. Hospedales
2022	J	`jnl`	Fisher SAM: Information Geometry and Sharpness Aware Minimisation. CoRR Minyoung Kim, Da Li, Shell Xu Hu, Timothy M. Hospedales
2022	A*	`conf`	Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference. CVPR Shell Xu Hu, Da Li, Jan Stühmer, Minyoung Kim, Timothy M. Hospedales
2022	J	`jnl`	Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference. CoRR Shell Xu Hu, Da Li, Jan Stühmer, Minyoung Kim, Timothy M. Hospedales
2022	A*	`conf`	Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut. CVPR Yangtao Wang, Xi Shen, Shell Xu Hu, Yuan Yuan, James L. Crowley, Dominique Vaufreydaz
2022	J	`jnl`	Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut. CoRR Yangtao Wang, Xi Shen, Shell Xu Hu, Yuan Yuan, James L. Crowley, Dominique Vaufreydaz
2022	J	`jnl`	TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut. CoRR Yangtao Wang, Xi Shen, Yuan Yuan, Yuming Du, Maomao Li, Shell Xu Hu, James L. Crowley, Dominique Vaufreydaz
2021	A	`conf`	AvaTr: One-Shot Speaker Extraction with Transformers. Interspeech Shell Xu Hu, Md Rifat Arefin, Viet-Nhat Nguyen, Alish Dipani, Xaq Pitkow, Andreas Savas Tolias
2021	J	`jnl`	AvaTr: One-Shot Speaker Extraction with Transformers. CoRR Shell Xu Hu, Md Rifat Arefin, Viet-Nhat Nguyen, Alish Dipani, Xaq Pitkow, Andreas Savas Tolias
2021	—	`conf`	Boosting Co-Teaching With Compression Regularization for Label Noise. CVPR Workshops Yingyi Chen, Xi Shen, Shell Xu Hu, Johan A. K. Suykens
2021	J	`jnl`	Boosting Co-teaching with Compression Regularization for Label Noise. CoRR Yingyi Chen, Xi Shen, Shell Xu Hu, Johan A. K. Suykens
2021	A*	`conf`	Re-ranking for image retrieval and transductive few-shot classification. NeurIPS Xi Shen, Yang Xiao, Shell Xu Hu, Othman Sbai, Mathieu Aubry
2020	A*	`conf`	Empirical Bayes Transductive Meta-Learning with Synthetic Gradients. ICLR Shell Xu Hu, Pablo Garcia Moreno, Yang Xiao, Xi Shen, Guillaume Obozinski, Neil D. Lawrence, Andreas C. Damianou
2020	J	`jnl`	Empirical Bayes Transductive Meta-Learning with Synthetic Gradients. CoRR Shell Xu Hu, Pablo Garcia Moreno, Yang Xiao, Xi Shen, Guillaume Obozinski, Neil D. Lawrence, Andreas C. Damianou
2019	J	`jnl`	Exploring weight symmetry in deep neural networks. Comput. Vis. Image Underst. Shell Xu Hu, Sergey Zagoruyko, Nikos Komodakis
2019	A*	`conf`	Variational Information Distillation for Knowledge Transfer. CVPR Sungsoo Ahn, Shell Xu Hu, Andreas C. Damianou, Neil D. Lawrence, Zhenwen Dai
2019	J	`jnl`	Variational Information Distillation for Knowledge Transfer. CoRR Sungsoo Ahn, Shell Xu Hu, Andreas C. Damianou, Neil D. Lawrence, Zhenwen Dai
2018	J	`jnl`	Exploring Weight Symmetry in Deep Neural Network. CoRR Shell Xu Hu, Sergey Zagoruyko, Nikos Komodakis
2015	J	`jnl`	Tree-Cut for Probabilistic Image Segmentation. CoRR Shell Xu Hu, Christopher K. I. Williams, Sinisa Todorovic