Li, Yufeng

45 publications

AAAI 2025 Fully Test-Time Adaptation for Tabular Data Zhi Zhou, Kun-Yang Yu, Lan-Zhe Guo, Yufeng Li

IJCAI 2025 Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo, Bo-Wen Zhang, Zhi Zhou, Lin-Han Jia, Wang-Zhou Dai, Yufeng Li

ICLR 2025 Optimal Flow Transport and Its Entropic Regularization: A GPU-Friendly Matrix Iterative Algorithm for Flow Balance Satisfaction Liangliang Shi, Yufeng Li, Kaipeng Zeng, Yihui Tu, Junchi Yan

AAAI 2024 HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors Heng-Kai Zhang, Yi-Ge Zhang, Zhi Zhou, Yufeng Li

IJCAI 2024 LSPAN: Spectrally Localized Augmentation for Graph Consistency Learning Heng-Kai Zhang, Yi-Ge Zhang, Zhi Zhou, Yufeng Li

ECCV 2024 REFRAME: Reflective Surface Real-Time Rendering for Mobile Devices Chaojie Ji, Yufeng Li, Yiyi Liao

AAAI 2024 Rethinking Multi-Scale Representations in Deep Deraining Transformer Hongming Chen, Xiang Chen, Jiyang Lu, Yufeng Li

AAAI 2024 Robust Test-Time Adaptation for Zero-Shot Prompt Tuning Dingchu Zhang, Zhi Zhou, Yufeng Li

AAAI 2024 Safe Abductive Learning in the Presence of Inaccurate Rules Xiaowen Yang, Jie-Jing Shao, Wei-Wei Tu, Yufeng Li, Wang-Zhou Dai, Zhi-Hua Zhou

CVPRW 2023 Dilated Convolutional Transformer for High-Quality Image Deraining Yufeng Li, Jiyang Lu, Hongming Chen, Xianhao Wu, Xiang Chen

CVPRW 2023 Learning to See in Nighttime Driving Scenes with Inter-Frequency Priors Zhentao Fan, Xianhao Wu, Xiang Chen, Yufeng Li

CVPRW 2022 TARDet: Two-Stage Anchor-Free Rotating Object Detector in Aerial Images Longgang Dai, Hongming Chen, Yufeng Li, Caihua Kong, Zhentao Fan, Jiyang Lu, Xiang Chen

ECCV 2022 Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learning Xiang Chen, Zhentao Fan, Pengpeng Li, Longgang Dai, Caihua Kong, Zhuoran Zheng, Yufeng Huang, Yufeng Li

CVPR 2022 Unpaired Deep Image Deraining Using Dual Contrastive Learning Xiang Chen, Jinshan Pan, Kui Jiang, Yufeng Li, Yufeng Huang, Caihua Kong, Longgang Dai, Zhentao Fan

IJCAI 2021 Abductive Learning with Ground Knowledge Base Le-Wen Cai, Wang-Zhou Dai, Yu-Xuan Huang, Yufeng Li, Stephen H. Muggleton, Yuan Jiang

AAAI 2021 Explanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning with Interpretability Tao Han, Wei-Wei Tu, Yufeng Li

IJCAI 2021 Safe Weakly Supervised Learning Yufeng Li

IJCAI 2021 Towards Robust Model Reuse in the Presence of Latent Domains Jie-Jing Shao, Zhanzhan Cheng, Yufeng Li, Shiliang Pu

AAAI 2020 IWE-Net: Instance Weight Network for Locating Negative Comments and Its Application to Improve Traffic User Experience Lan-Zhe Guo, Feng Kuang, Zhang-Xun Liu, Yufeng Li, Nan Ma, Xiao-Hu Qie

AAAI 2020 Learning from Weak-Label Data: A Deep Forest Expedition Qian-Wei Wang, Liang Yang, Yufeng Li

AAAI 2020 Semi-Supervised Streaming Learning with Emerging New Labels Yong-Nan Zhu, Yufeng Li

AAAI 2019 Learning Compact Model for Large-Scale Multi-Label Data Tong Wei, Yufeng Li

IJCAI 2019 Learning for Tail Label Data: A Label-Specific Feature Approach Tong Wei, Wei-Wei Tu, Yufeng Li

IJCAI 2019 Partial Label Learning with Unlabeled Data Qian-Wei Wang, Yufeng Li, Zhi-Hua Zhou

IJCAI 2019 Rapid Performance Gain Through Active Model Reuse Feng Shi, Yufeng Li

AAAI 2019 Towards Automated Semi-Supervised Learning Yufeng Li, Hai Wang, Tong Wei, Wei-Wei Tu

AAAI 2018 A General Formulation for Safely Exploiting Weakly Supervised Data Lan-Zhe Guo, Yufeng Li

IJCAI 2018 Does Tail Label Help for Large-Scale Multi-Label Learning Tong Wei, Yufeng Li

MLJ 2018 Learning Safe Multi-Label Prediction for Weakly Labeled Data Tong Wei, Lan-Zhe Guo, Yufeng Li, Wei Gao

AAAI 2018 Learning from Semi-Supervised Weak-Label Data Hao-Chen Dong, Yufeng Li, Zhi-Hua Zhou

IJCAI 2018 Lightweight Label Propagation for Large-Scale Network Data De-Ming Liang, Yufeng Li

AAAI 2017 Learning Safe Prediction for Semi-Supervised Regression Yufeng Li, Han-Wen Zha, Zhi-Hua Zhou

IJCAI 2016 Graph Quality Judgement: A Large Margin Expedition Yufeng Li, Shao-Bo Wang, Zhi-Hua Zhou

AAAI 2016 Risk Minimization in the Presence of Label Noise Wei Gao, Lu Wang, Yufeng Li, Zhi-Hua Zhou

AAAI 2016 Towards Safe Semi-Supervised Learning for Multivariate Performance Measures Yufeng Li, James T. Kwok, Zhi-Hua Zhou

AAAI 2013 Multi-Label Learning with PRO Loss Miao Xu, Yufeng Li, Zhi-Hua Zhou

AAAI 2012 Towards Discovering What Patterns Trigger What Labels Yufeng Li, Ju-Hua Hu, Yuan Jiang, Zhi-Hua Zhou

IJCAI 2011 Diversity Regularized Machine Yang Yu, Yufeng Li, Zhi-Hua Zhou

AAAI 2011 Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection Yufeng Li, Zhi-Hua Zhou

ICML 2011 Towards Making Unlabeled Data Never Hurt Yufeng Li, Zhi-Hua Zhou

AAAI 2010 Cost-Sensitive Semi-Supervised Support Vector Machine Yufeng Li, James T. Kwok, Zhi-Hua Zhou

ECML-PKDD 2009 A Convex Method for Locating Regions of Interest with Multi-Instance Learning Yufeng Li, James T. Kwok, Ivor W. Tsang, Zhi-Hua Zhou

ICML 2009 Learning Instance Specific Distances Using Metric Propagation De-Chuan Zhan, Ming Li, Yufeng Li, Zhi-Hua Zhou

ICML 2009 Multi-Instance Learning by Treating Instances as Non-I.I.D. Samples Zhi-Hua Zhou, Yu-Yin Sun, Yufeng Li

ICML 2009 Semi-Supervised Learning Using Label Mean Yufeng Li, James T. Kwok, Zhi-Hua Zhou