| 2026 | DEXA | A Label Selection Algorithm with Boolean Interpolative Matrix Decomposition for Multi-Label Learning. | Tianqi Ji, Jun Li, Jianhua Xu |
| 2025 | ACL | Understanding the Repeat Curse in Large Language Models from a Feature Perspective. | Junchi Yao, Shu Yang, Jianhua Xu, Lijie Hu, Mengdi Li, Di Wang |
| 2025 | ICTAI | A Parameter-free Quadratic Programming Feature Selection Algorithm Based on Minimizing Redundancy and Fixing Relevance. | Jianhua Xu, Jun Li |
| 2025 | MMM | Zero-Shot Sketch-Based Image Retrieval with Hybrid Information Fusion and Sample Relationship Modeling. | Weijie Wu, Jun Li, Zhijian Wu, Jianhua Xu |
| 2025 | PRICAI | A Feature-Aware Label Selection Approach Based on Matrix Interpolation Decomposition. | Jianhua Xu, Jun Li |
| 2025 | SMC | SAMKD: Spatial-aware Adaptive Masking Knowledge Distillation for Object Detection. | Zhourui Zhang, Jun Li, Jiayan Li, Jianhua Xu |
| 2024 | DEXA | A Label Embedding Algorithm Based on Maximizing Normalized Cross-Covariance Operator. | Yulin Xue, Yuchen Pan, Tao Peng, Jun Li, Jianhua Xu |
| 2024 | ECCV | OpenSight: A Simple Open-Vocabulary Framework for LiDAR-Based Object Detection. | Hu Zhang, Jianhua Xu, Tao Tang, Haiyang Sun, Xin Yu, Zi Huang, Kaicheng Yu |
| 2024 | ICASSP | DMKD: Improving Feature-Based Knowledge Distillation for Object Detection Via Dual Masking Augmentation. | Guang Yang, Yin Tang, Zhijian Wu, Jun Li, Jianhua Xu, Xili Wan |
| 2024 | ICONIP | Attention-Based Domain Adaptive YOLO for Cross-Domain Object Detection. | Zhiyuan Wang, Jun Li, Jianhua Xu |
| 2024 | IJCNN | Two-dimensional Seismic Velocity Inversion via Enhanced Multi-view Convolutional Neural Networks for Regression. | Chuang Pan, Yiran Huang, Qingzhen Wang, Jun Li, Jianhua Xu |
| 2024 | MMM | Multi-head Hashing with Orthogonal Decomposition for Cross-modal Retrieval. | Wei Liu, Jun Li, Zhijian Wu, Jianhua Xu, Bo Yang |
| 2023 | DEXA | A Label Embedding Method via Conditional Covariance Maximization for Multi-label Classification. | Dan Li, Yunqian Li, Jun Li, Jianhua Xu |
| 2023 | ICIG | LogoNet: A Fine-Grained Network for Instance-Level Logo Sketch Retrieval. | Binbin Feng, Jun Li, Jianhua Xu |
| 2023 | ICONIP | Retinex Meets Transformer: Bridging Illumination and Reflectance Maps for Low-Light Image Enhancement. | Yilong Cheng, Zhijian Wu, Jun Li, Jianhua Xu |
| 2023 | ICONIP | Label Selection Algorithm Based on Ant Colony Optimization and Reinforcement Learning for Multi-label Classification. | Yuchen Pan, Yulin Xue, Jun Li, Jianhua Xu |
| 2023 | IJCNN | AMD: Adaptive Masked Distillation for Object Detection. | Guang Yang, Yin Tang, Jun Li, Jianhua Xu, Xili Wan |
| 2023 | ICTAI | A Novel Label Selection Algorithm Based on Principal Component Analysis and Sparse Approximation Solution for Multi-label Classification. | Tao Peng, Yulin Xue, Jun Li, Jianhua Xu |
| 2022 | DaWaK | Multi-label Online Streaming Feature Selection Algorithms via Extending Alpha-Investing Strategy. | Tianqi Ji, Xizhi Guo, Yunqian Li, Dan Li, Jun Li, Jianhua Xu |
| 2022 | DEXA | Label Selection Algorithm Based on Iteration Column Subset Selection for Multi-label Classification. | Tao Peng, Jun Li, Jianhua Xu |
| 2022 | ICONIP | Infinite Label Selection Method for Mutil-label Classification. | Yuchen Pan, Jun Li, Jianhua Xu |
| 2021 | DaWaK | Multi-label Feature Selection Algorithm via Maximizing Label Correlation-Aware Relevance and Minimizing Redundance with Mutation Binary Particle Swarm Optimization. | Xiaolin Zhu, Yuanyuan Tao, Jun Li, Jianhua Xu |
| 2021 | DEXA | A Globally Optimal Label Selection Method via Genetic Algorithm for Multi-label Classification. | Tianqi Ji, Jun Li, Jianhua Xu |
| 2021 | ICDAR | Label Selection Algorithm Based on Boolean Interpolative Decomposition with Sequential Backward Selection for Multi-label Classification. | Tianqi Ji, Jun Li, Jianhua Xu |
| 2021 | ICIG | Binary Multi-view Image Re-ranking. | Zhijian Wu, Jun Li, Jianhua Xu |
| 2020 | ICONIP | Efficient Binary Multi-view Subspace Learning for Instance-Level Image Retrieval. | Zhijian Wu, Jun Li, Jianhua Xu |
| 2020 | ICONIP | Dual-Learning-Based Neural Machine Translation Using Undirected Sequence Model for Document Translation. | Lei Zhang, Jianhua Xu |
| 2020 | IJCNN | Multi-label Feature Selection Method via Maximizing Correlation-based Criterion with Mutation Binary Bat Algorithm. | Yuanyuan Tao, Jun Li, Jianhua Xu |
| 2019 | ICONIP | A Label Embedding Method for Multi-label Classification via Exploiting Local Label Correlations. | Xidong Wang, Jun Li, Jianhua Xu |
| 2018 | ICONIP | Multi-label Feature Selection Method Combining Unbiased Hilbert-Schmidt Independence Criterion with Controlled Genetic Algorithm. | Chang Liu, Quan Ma, Jianhua Xu |
| 2018 | ICONIP | Multi-label Feature Selection Method Based on Multivariate Mutual Information and Particle Swarm Optimization. | Xidong Wang, Lei Zhao, Jianhua Xu |
| 2017 | ICONIP | Online Multi-label Passive Aggressive Active Learning Algorithm Based on Binary Relevance. | Xizhi Guo, Yongwei Zhang, Jianhua Xu |
| 2016 | ICONIP | A Non-linear Label Compression Coding Method Based on Five-Layer Auto-Encoder for Multi-label Classification. | Jiapeng Luo, Lei Cao, Jianhua Xu |
| 2016 | ICONIP | Effective and Efficient Multi-label Feature Selection Approaches via Modifying Hilbert-Schmidt Independence Criterion. | Jianhua Xu |
| 2015 | IJCNN | A label compression coding approach through maximizing dependence between features and labels for multi-label classification. | Lei Cao, Jianhua Xu |
| 2015 | IJCNN | A Multi-label feature selection algorithm based on multi-objective optimization. | Jing Yin, Tengfei Tao, Jianhua Xu |
| 2013 | ICONIP | A Random Block Coordinate Descent Method for Multi-label Support Vector Machine. | Jianhua Xu |
| 2011 | ICONIP | Multi-Label Weighted k-Nearest Neighbor Classifier with Adaptive Weight Estimation. | Jianhua Xu |
| 2011 | ISPA | Schedulability Analysis for Distributed Systems Using Network of Action Automata and Environment Automata. | Shenglin Gui, Lei Luo, Miao Yu, Jianhua Xu, Yun Li |
| 2010 | GRC | Constructing a Fast Algorithm for Multi-label Classification with Support Vector Data Description. | Jianhua Xu |
| 2009 | CIS | A Fast Multi-label Classification Algorithm Based on Double Label Support Vector Machine. | Jiayang Li, Jianhua Xu |
| 2009 | ICNC | Using the Method Combining PCA with BP Neural Network to Predict Water Demand for Urban Development. | Zhanyong Wang, Jianhua Xu, Feng Lu, Yan Zhang |
| 2009 | ISNN | A SVM Model Selection Method Based on Hybrid Genetic Algorithm and Empirical Error Minimization Criterion. | Xin Zhou, Jianhua Xu |
| 2008 | ICNC | A New Multiresolution Medical Image Registration Algorithm Based on Intensity and Edge Information. | Hui Li, Yuhua Peng, Dengwang Li, Jianhua Xu |
| 2006 | IGARSS | A Study on the Trajectories of Mesoscale Convective Systems and Their Environmental Physical Field Values Using GMS Image. | Xiaoyan Dai, Zhongyang Guo, Jianhua Xu |
| 2006 | IGARSS | A Study on the Relation between Temporal NDVI and Economy and Population: A Case on Chongqing City in Three Gorges Region, China. | Gui-Feng Han, Jianhua Xu |
| 2006 | ISNN | A Fast and Sparse Implementation of Multiclass Kernel Perceptron Algorithm. | Jianhua Xu |
| 2005 | IGARSS | Analysis of mechanism for formation of urban thermal environment. | Wenqi Tan, Jianhua Xu, Wenze Yue |
| 2005 | IGARSS | V-I-S model for cities that are experiencing rapid urbanization and development. | Jiawei Wu, Jianhua Xu, Wenze Yue |
| 2005 | IGARSS | Improvement of linear spectral mixture analysis and experimentation in estimation of urban vegetation fraction. | Wenze Yue, Jianhua Xu, Jiawei Wu |
| 2005 | IGARSS | A model for the evaluation of urban green spaces' system using RS and GIS methods. | Ya Luo, Jianhua Xu, Wenze Yue |
| 2005 | ISNN | Designing Nonlinear Classifiers Through Minimizing VC Dimension Bound. | Jianhua Xu |
| 2004 | IJCNN | Kernels based on weighted Levenshtein distance. | Jianhua Xu, Xuegong Zhang |
| 2004 | ISNN | A Learning Algorithm with Gaussian Regularizer for Kernel Neuron. | Jianhua Xu, Xuegong Zhang |