Xuhong Li

58 papers A* 7B 1Journal 42Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
CUPre: Cross-domain Unsupervised Pre-training for few-shot cell segmentation.
Inf. Fusion
Weibin Liao, Xuhong Li, Qingzhong Wang, Yanwu Xu, Zhaozheng Yin, Haoyi Xiong
2026 J jnl
SageCopilot: An LLM-Empowered Autonomous Agent for Data Science as a Service.
IEEE Trans. Serv. Comput.
Yuan Liao, Jiang Bian, Yuhui Yun, Shuo Wang, Yubo Zhang, Jiaming Chu, Tao Wang, Yuchen Li, Xuhong Li, Shilei Ji, Haoyi Xiong
2025 — conf
RankElectra: Semi-supervised Pre-training of Learning-to-Rank Electra for Web-scale Search.
KDD (1)
Yuchen Li, Haoyi Xiong, Yongqi Zhang, Jiang Bian, Tianhao Peng, Xuhong Li, Shuaiqiang Wang, Linghe Kong, Dawei Yin
2025 A* conf
SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning.
AAAI
Tianhao Peng, Xuhong Li, Haitao Yuan, Yuchen Li, Haoyi Xiong
2025 J jnl
SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning.
CoRR
Tianhao Peng, Xuhong Li, Haitao Yuan, Yuchen Li, Haoyi Xiong
2024 J jnl
Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents.
CoRR
Haoyi Xiong, Zhiyuan Wang, Xuhong Li, Jiang Bian, Zeke Xie, Shahid Mumtaz, Laura E. Barnes
2024 J jnl
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training.
CoRR
Jiamin Chen, Xuhong Li, Yanwu Xu, Mengnan Du, Haoyi Xiong
2024 A* conf
G-LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint).
AAAI
Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou
2024 A* conf
GiLOT: Interpreting Generative Language Models via Optimal Transport.
ICML
Xuhong Li, Jiamin Chen, Yekun Chai, Haoyi Xiong
2024 — conf
HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization.
LREC/COLING
Qiwei Peng, Yekun Chai, Xuhong Li
2024 J jnl
HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization.
CoRR
Qiwei Peng, Yekun Chai, Xuhong Li
2024 J jnl
Interpretable Machine Learning for Weather and Climate Prediction: A Survey.
CoRR
Ruyi Yang, Jingyu Hu, Zihao Li, Jianli Mu, Tingzhao Yu, Jiangjiang Xia, Xuhong Li, Aritra Dasgupta, Haoyi Xiong
2024 J jnl
MTPret: Improving X-Ray Image Analytics With Multitask Pretraining.
IEEE Trans. Artif. Intell.
Weibin Liao, Qingzhong Wang, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou, Yanwu Xu, Haoyi Xiong
2024 J jnl
Multi-purpose RNA language modelling with motif-aware pretraining and type-guided fine-tuning.
Nat. Mac. Intell.
Ning Wang, Jiang Bian, Yuchen Li, Xuhong Li, Shahid Mumtaz, Linghe Kong, Haoyi Xiong
2024 J jnl
P
ACM Trans. Multim. Comput. Commun. Appl.
Jiang Bian, Xuhong Li, Tao Wang, Qingzhong Wang, Jun Huang, Chen Liu, Jun Zhao, Feixiang Lu, Dejing Dou, Haoyi Xiong
2024 J jnl
Pre-trained Molecular Language Models with Random Functional Group Masking.
CoRR
Tianhao Peng, Yuchen Li, Xuhong Li, Jiang Bian, Zeke Xie, Ning Sui, Shahid Mumtaz, Yanwu Xu, Linghe Kong, Haoyi Xiong
2024 J jnl
Stochastic gradient descent with random label noises: doubly stochastic models and inference stabilizer.
Mach. Learn. Sci. Technol.
Haoyi Xiong, Xuhong Li, Boyang Yu, Dongrui Wu, Zhanxing Zhu, Dejing Dou
2024 — conf
Tokenization Falling Short: On Subword Robustness in Large Language Models.
EMNLP (Findings)
Yekun Chai, Yewei Fang, Qiwei Peng, Xuhong Li
2024 J jnl
Tokenization Falling Short: The Curse of Tokenization.
CoRR
Yekun Chai, Yewei Fang, Qiwei Peng, Xuhong Li
2024 J jnl
Towards Automated Data Sciences with Natural Language and SageCopilot: Practices and Lessons Learned.
CoRR
Yuan Liao, Jiang Bian, Yuhui Yun, Shuo Wang, Yubo Zhang, Jiaming Chu, Tao Wang, Kewei Li, Yuchen Li, Xuhong Li, Shilei Ji, Haoyi Xiong
2024 J jnl
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective.
CoRR
Haoyi Xiong, Xuhong Li, Xiaofei Zhang, Jiamin Chen, Xinhao Sun, Yuchen Li, Zeyi Sun, Mengnan Du
2024 J jnl
Towards accurate knowledge transfer via target-awareness representation disentanglement.
Mach. Learn.
Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Cheng-Zhong Xu, Dejing Dou
2024 J jnl
When Search Engine Services Meet Large Language Models: Visions and Challenges.
IEEE Trans. Serv. Comput.
Haoyi Xiong, Jiang Bian, Yuchen Li, Xuhong Li, Mengnan Du, Shuaiqiang Wang, Dawei Yin, Sumi Helal
2024 J jnl
When Search Engine Services meet Large Language Models: Visions and Challenges.
CoRR
Haoyi Xiong, Jiang Bian, Yuchen Li, Xuhong Li, Mengnan Du, Shuaiqiang Wang, Dawei Yin, Sumi Helal
2023 J jnl
Beyond Intuition: Rethinking Token Attributions inside Transformers.
Trans. Mach. Learn. Res.
Jiamin Chen, Xuhong Li, Lei Yu, Dejing Dou, Haoyi Xiong
2023 J jnl
CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation.
CoRR
Weibin Liao, Xuhong Li, Qingzhong Wang, Yanwu Xu, Zhaozheng Yin, Haoyi Xiong
2023 A* conf
ContRE: A Complementary Measure for Robustness Evaluation of Deep Networks via Contrastive Examples.
ICDM
Xuhong Li, Xuanyu Wu, Linghe Kong, Xiao Zhang, Siyu Huang, Dejing Dou, Haoyi Xiong
2023 — conf
Context Matters: Cross-Domain Cell Detection in Histopathology Images via Contextual Regularization.
MIUA
Ziqi Wen, Qingzhong Wang, Jiang Bian, Xuhong Li, Yi Liu, Haoyi Xiong
2023 J jnl
Cross-model consensus of explanations and beyond for image classification models: an empirical study.
Mach. Learn.
Xuhong Li, Haoyi Xiong, Siyu Huang, Shilei Ji, Dejing Dou
2023 J jnl
Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models.
Mach. Learn.
Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou
2023 J jnl
Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability.
CoRR
Haoyi Xiong, Xuhong Li, Boyang Yu, Zhanxing Zhu, Dongrui Wu, Dejing Dou
2023 J jnl
Feynman: Federated Learning-Based Advertising for Ecosystems-Oriented Mobile Apps Recommendation.
IEEE Trans. Serv. Comput.
Jiang Bian, Jizhou Huang, Shilei Ji, Yuan Liao, Xuhong Li, Qingzhong Wang, Jingbo Zhou, Dejing Dou, Yaqing Wang, Haoyi Xiong
2023 J jnl
G-LIME: Statistical learning for local interpretations of deep neural networks using global priors.
Artif. Intell.
Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou
2023 A* conf
Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features.
AAAI
Qingrui Jia, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, Dejing Dou
2023 A* conf
M
NeurIPS
Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, Himabindu Lakkaraju, Haoyi Xiong
2023 J jnl
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts.
CoRR
Weibin Liao, Haoyi Xiong, Qingzhong Wang, Yan Mo, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou
2023 — conf
Rare Codes Count: Mining Inter-code Relations for Long-tail Clinical Text Classification.
ClinicalNLP@ACL
Jiamin Chen, Xuhong Li, Junting Xi, Lei Yu, Haoyi Xiong
2022 J jnl
Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models.
CoRR
Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou
2022 J jnl
From distributed machine learning to federated learning: a survey.
Knowl. Inf. Syst.
Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou
2022 J jnl
InterpretDL: Explaining Deep Models in PaddlePaddle.
J. Mach. Learn. Res.
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Zeyu Chen, Dejing Dou
2022 J jnl
Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond.
Knowl. Inf. Syst.
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou
2022 J jnl
Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed Features.
CoRR
Qingrui Jia, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, Dejing Dou
2022 — conf
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-Ray Images of Multiple Body Parts.
MICCAI (8)
Weibin Liao, Haoyi Xiong, Qingzhong Wang, Yan Mo, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou
2022 J jnl
P
CoRR
Jiang Bian, Qingzhong Wang, Haoyi Xiong, Jun Huang, Chen Liu, Xuhong Li, Jun Cheng, Jun Zhao, Feixiang Lu, Dejing Dou
2021 J jnl
Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study.
CoRR
Xuhong Li, Haoyi Xiong, Siyu Huang, Shilei Ji, Dejing Dou
2021 J jnl
From Distributed Machine Learning to Federated Learning: A Survey.
CoRR
Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou
2021 J jnl
Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond.
CoRR
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou
2021 J jnl
Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples.
CoRR
Xuanyu Wu, Xuhong Li, Haoyi Xiong, Xiao Zhang, Siyu Huang, Dejing Dou
2020 J jnl
A baseline regularization scheme for transfer learning with convolutional neural networks.
Pattern Recognit.
Xuhong Li, Yves Grandvalet, Franck Davoine
2020 — conf
Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition.
ECCV (24)
Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou
2020 J jnl
Cross-Task Transfer for Multimodal Aerial Scene Recognition.
CoRR
Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou
2020 J jnl
Representation Transfer by Optimal Transport.
CoRR
Xuhong Li, Yves Grandvalet, Rémi Flamary, Nicolas Courty, Dejing Dou
2020 J jnl
Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement.
CoRR
Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Zhi Ye, Zhipeng Wang, Chengzhong Xu, Dejing Dou
2020 J jnl
Transfer learning in computer vision tasks: Remember where you come from.
Image Vis. Comput.
Xuhong Li, Yves Grandvalet, Franck Davoine, Jingchun Cheng, Yin Cui, Han Zhang, Serge J. Belongie, Yi-Hsuan Tsai, Ming-Hsuan Yang
2019 — —
Regularization schemes for transfer learning with convolutional networks. (Stratégies de régularisation pour l'apprentissage par transfert des réseaux de neurones à convolution).
Xuhong Li
2018 B conf
A Simple Weight Recall for Semantic Segmentation: Application to Urban Scenes.
Intelligent Vehicles Symposium
Xuhong Li, Franck Davoine, Yves Grandvalet
2018 A* conf
Explicit Inductive Bias for Transfer Learning with Convolutional Networks.
ICML
Xuhong Li, Yves Grandvalet, Franck Davoine
2018 J jnl
Explicit Inductive Bias for Transfer Learning with Convolutional Networks.
CoRR
Xuhong Li, Yves Grandvalet, Franck Davoine