Explicit Inductive Bias for Transfer Learning with Convolutional Networks. - Xuhong Li 002; Yves Grandvalet; Franck Davoine (ICML, 2018)

A Simple Weight Recall for Semantic Segmentation: Application to Urban Scenes. - Xuhong Li 002; Franck Davoine; Yves Grandvalet (Intelligent Vehicles Symposium, 2018)

Regularization schemes for transfer learning with convolutional networks. (Stratégies de régularisation pour l'apprentissage par transfert des réseaux de neurones à convolution). - Xuhong Li 002 (2019)

Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition. - Di Hu 001; Xuhong Li 002; Lichao Mou; Pu Jin; Dong Chen; Liping Jing; Xiaoxiang Zhu 001; Dejing Dou (ECCV (24), 2020)

Cross-Task Transfer for Multimodal Aerial Scene Recognition. - Di Hu 001; Xuhong Li 002; Lichao Mou; Pu Jin; Dong Chen; Liping Jing; Xiaoxiang Zhu 001; Dejing Dou (CoRR, 2020)

Representation Transfer by Optimal Transport. - Xuhong Li 002; Yves Grandvalet; Rémi Flamary; Nicolas Courty; Dejing Dou (CoRR, 2020)

Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement. - Xingjian Li 002; Di Hu 001; Xuhong Li 002; Haoyi Xiong; Zhi Ye; Zhipeng Wang; Chengzhong Xu 001; Dejing Dou (CoRR, 2020)

Transfer learning in computer vision tasks: Remember where you come from. - Xuhong Li 002; Yves Grandvalet; Franck Davoine; Jingchun Cheng; Yin Cui; Han Zhang 005; Serge J. Belongie; Yi-Hsuan Tsai; Ming-Hsuan Yang 001 (Image Vis. Comput., 2020)

A baseline regularization scheme for transfer learning with convolutional neural networks. - Xuhong Li 002; Yves Grandvalet; Franck Davoine (Pattern Recognit., 2020)

Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond. - Xuhong Li 002; Haoyi Xiong; Xingjian Li 002; Xuanyu Wu; Xiao Zhang 001; Ji Liu 003; Jiang Bian 003; Dejing Dou (CoRR, 2021)

Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples. - Xuanyu Wu; Xuhong Li 002; Haoyi Xiong; Xiao Zhang 001; Siyu Huang; Dejing Dou (CoRR, 2021)

MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-Ray Images of Multiple Body Parts. - Weibin Liao; Haoyi Xiong; Qingzhong Wang; Yan Mo; Xuhong Li 002; Yi Liu 040; Zeyu Chen; Siyu Huang; Dejing Dou (MICCAI (8), 2022)

P2A: A Dataset and Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos. - Jiang Bian 003; Qingzhong Wang; Haoyi Xiong; Jun Huang; Chen Liu; Xuhong Li 002; Jun Cheng; Jun Zhao; Feixiang Lu; Dejing Dou (CoRR, 2022)

InterpretDL: Explaining Deep Models in PaddlePaddle. - Xuhong Li 002; Haoyi Xiong; Xingjian Li 002; Xuanyu Wu; Zeyu Chen; Dejing Dou (J. Mach. Learn. Res., 2022)

Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond. - Xuhong Li 002; Haoyi Xiong; Xingjian Li 002; Xuanyu Wu; Xiao Zhang 001; Ji Liu 003; Jiang Bian 003; Dejing Dou (Knowl. Inf. Syst., 2022)

From distributed machine learning to federated learning: a survey. - Ji Liu 003; Jizhou Huang; Yang Zhou 001; Xuhong Li 002; Shilei Ji; Haoyi Xiong; Dejing Dou (Knowl. Inf. Syst., 2022)

Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features. - Qingrui Jia; Xuhong Li 002; Lei Yu; Jiang Bian 003; Penghao Zhao; Shupeng Li; Haoyi Xiong; Dejing Dou (AAAI, 2023)

Rare Codes Count: Mining Inter-code Relations for Long-tail Clinical Text Classification. - Jiamin Chen; Xuhong Li 002; Junting Xi; Lei Yu; Haoyi Xiong (ClinicalNLP@ACL, 2023)

ContRE: A Complementary Measure for Robustness Evaluation of Deep Networks via Contrastive Examples. - Xuhong Li 002; Xuanyu Wu; Linghe Kong; Xiao Zhang 001; Siyu Huang; Dejing Dou; Haoyi Xiong (ICDM, 2023)

Context Matters: Cross-Domain Cell Detection in Histopathology Images via Contextual Regularization. - Ziqi Wen; Qingzhong Wang; Jiang Bian 003; Xuhong Li 002; Yi Liu 040; Haoyi Xiong (MIUA, 2023)

M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models. - Xuhong Li 002; Mengnan Du; Jiamin Chen; Yekun Chai; Himabindu Lakkaraju; Haoyi Xiong (NeurIPS, 2023)

G-LIME: Statistical learning for local interpretations of deep neural networks using global priors. - Xuhong Li 002; Haoyi Xiong; Xingjian Li 002; Xiao Zhang 001; Ji Liu 003; Haiyan Jiang; Zeyu Chen; Dejing Dou (Artif. Intell., 2023)

Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability. - Haoyi Xiong; Xuhong Li 002; Boyang Yu; Zhanxing Zhu; Dongrui Wu; Dejing Dou (CoRR, 2023)

Beyond Intuition: Rethinking Token Attributions inside Transformers. - Jiamin Chen; Xuhong Li 002; Lei Yu; Dejing Dou; Haoyi Xiong (Trans. Mach. Learn. Res., 2023)

Feynman: Federated Learning-Based Advertising for Ecosystems-Oriented Mobile Apps Recommendation. - Jiang Bian 003; Jizhou Huang; Shilei Ji; Yuan Liao; Xuhong Li 002; Qingzhong Wang; Jingbo Zhou; Dejing Dou; Yaqing Wang 002; Haoyi Xiong (IEEE Trans. Serv. Comput., 2023)

Cross-model consensus of explanations and beyond for image classification models: an empirical study. - Xuhong Li 002; Haoyi Xiong; Siyu Huang; Shilei Ji; Dejing Dou (Mach. Learn., 2023)

Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models. - Xuhong Li 002; Haoyi Xiong; Yi Liu 040; Dingfu Zhou; Zeyu Chen; Yaqing Wang 002; Dejing Dou (Mach. Learn., 2023)

G-LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint). - Xuhong Li 002; Haoyi Xiong; Xingjian Li 002; Xiao Zhang 001; Ji Liu 003; Haiyan Jiang; Zeyu Chen; Dejing Dou (AAAI, 2024)

HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization. - Qiwei Peng 002; Yekun Chai; Xuhong Li 002 (LREC/COLING, 2024)

Tokenization Falling Short: On Subword Robustness in Large Language Models. - Yekun Chai; Yewei Fang; Qiwei Peng 002; Xuhong Li 002 (EMNLP (Findings), 2024)

GiLOT: Interpreting Generative Language Models via Optimal Transport. - Xuhong Li 002; Jiamin Chen; Yekun Chai; Haoyi Xiong (ICML, 2024)

Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective. - Haoyi Xiong; Xuhong Li 002; Xiaofei Zhang; Jiamin Chen; Xinhao Sun; Yuchen Li 006; Zeyi Sun 001; Mengnan Du (CoRR, 2024)

Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training. - Jiamin Chen; Xuhong Li 002; Yanwu Xu 001; Mengnan Du; Haoyi Xiong (CoRR, 2024)

Interpretable Machine Learning for Weather and Climate Prediction: A Survey. - Ruyi Yang; Jingyu Hu 002; Zihao Li; Jianli Mu; Tingzhao Yu; Jiangjiang Xia; Xuhong Li 002; Aritra Dasgupta 001; Haoyi Xiong (CoRR, 2024)

Tokenization Falling Short: The Curse of Tokenization. - Yekun Chai; Yewei Fang; Qiwei Peng 002; Xuhong Li 002 (CoRR, 2024)

Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents. - Haoyi Xiong; Zhiyuan Wang 003; Xuhong Li 002; Jiang Bian 003; Zeke Xie; Shahid Mumtaz; Laura E. Barnes (CoRR, 2024)

Towards Automated Data Sciences with Natural Language and SageCopilot: Practices and Lessons Learned. - Yuan Liao; Jiang Bian 003; Yuhui Yun; Shuo Wang; Yubo Zhang; Jiaming Chu; Tao Wang; Kewei Li; Yuchen Li 006; Xuhong Li 002; Shilei Ji; Haoyi Xiong (CoRR, 2024)

Pre-trained Molecular Language Models with Random Functional Group Masking. - Tianhao Peng 002; Yuchen Li 006; Xuhong Li 002; Jiang Bian 003; Zeke Xie; Ning Sui; Shahid Mumtaz; Yanwu Xu 001; Linghe Kong; Haoyi Xiong (CoRR, 2024)

Multi-purpose RNA language modelling with motif-aware pretraining and type-guided fine-tuning. - Ning Wang 004; Jiang Bian 003; Yuchen Li 006; Xuhong Li 002; Shahid Mumtaz; Linghe Kong; Haoyi Xiong (Nat. Mac. Intell., 2024)

When Search Engine Services Meet Large Language Models: Visions and Challenges. - Haoyi Xiong; Jiang Bian 003; Yuchen Li 006; Xuhong Li 002; Mengnan Du; Shuaiqiang Wang; Dawei Yin; Sumi Helal (IEEE Trans. Serv. Comput., 2024)

Towards accurate knowledge transfer via target-awareness representation disentanglement. - Xingjian Li 002; Di Hu 001; Xuhong Li 002; Haoyi Xiong; Cheng-Zhong Xu 001; Dejing Dou (Mach. Learn., 2024)

Stochastic gradient descent with random label noises: doubly stochastic models and inference stabilizer. - Haoyi Xiong; Xuhong Li 002; Boyang Yu; Dongrui Wu; Zhanxing Zhu; Dejing Dou (Mach. Learn. Sci. Technol., 2024)

P2ANet: A Large-Scale Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos. - Jiang Bian 003; Xuhong Li 002; Tao Wang; Qingzhong Wang; Jun Huang; Chen Liu; Jun Zhao; Feixiang Lu; Dejing Dou; Haoyi Xiong (ACM Trans. Multim. Comput. Commun. Appl., 2024)

MTPret: Improving X-Ray Image Analytics With Multitask Pretraining. - Weibin Liao; Qingzhong Wang; Xuhong Li 002; Yi Liu 040; Zeyu Chen; Siyu Huang; Dejing Dou; Yanwu Xu 001; Haoyi Xiong (IEEE Trans. Artif. Intell., 2024)

SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning. - Tianhao Peng 002; Xuhong Li 002; Haitao Yuan 002; Yuchen Li 006; Haoyi Xiong (AAAI, 2025)

RankElectra: Semi-supervised Pre-training of Learning-to-Rank Electra for Web-scale Search. - Yuchen Li 006; Haoyi Xiong; Yongqi Zhang; Jiang Bian 003; Tianhao Peng 002; Xuhong Li 002; Shuaiqiang Wang; Linghe Kong; Dawei Yin (KDD (1), 2025)

CUPre: Cross-domain Unsupervised Pre-training for few-shot cell segmentation. - Weibin Liao; Xuhong Li 002; Qingzhong Wang; Yanwu Xu 001; Zhaozheng Yin; Haoyi Xiong (Inf. Fusion, 2026)