| 2026 | ACL | Logic Matters in Lightweight Hallucination Classification for RAG System. | Ningyuan Yang, Kaizhu Huang |
| 2026 | EACL | Unraveling LLM Jailbreaks Through Safety Knowledge Neurons. | Chongwen Zhao, Yutong Ke, Kaizhu Huang |
| 2026 | SIGGRAPH | SynthVerse: A Large-Scale Diverse Synthetic Dataset for Point Tracking. | Weiguang Zhao, Haoran Xu, Xingyu Miao, Qin Zhao, Rui Zhang, Kaizhu Huang, Ning Gao, Peizhou Cao, Mingze Sun, Mulin Yu, Tao Lu, Linning Xu, Junting Dong, Jiangmiao Pang |
| 2026 | WACV | Rethinking Real Image Editing: Unleashing Diverse Editing Operators via Multi-Objective Optimization. | Siyuan Wang, Xi Yang, Zihao Zhou, Huiru Shao, Rui Zhang, Qiufeng Wang, Guangliang Cheng, Kaizhu Huang |
| 2025 | AAAI | Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation. | Xiaoqiang Kang, Zimu Wang, Xiaobo Jin, Wei Wang, Kaizhu Huang, Qiufeng Wang |
| 2025 | AAAI | GNS: Solving Plane Geometry Problems by Neural-Symbolic Reasoning with Multi-Modal LLMs. | Maizhen Ning, Zihao Zhou, Qiufeng Wang, Xiaowei Huang, Kaizhu Huang |
| 2025 | AAAI | Towards Better Robustness Against Natural Corruptions in Document Tampering Localization. | Huiru Shao, Kaizhu Huang, Wei Wang, Xiaowei Huang, Qiufeng Wang |
| 2025 | AAAI | Disentangling Tabular Data Towards Better One-Class Anomaly Detection. | Jianan Ye, Zhaorui Tan, Yijie Hu, Xi Yang, Guangliang Cheng, Kaizhu Huang |
| 2025 | CVPR | KMD: Koopman Multi-modality Decomposition for Generalized Brain Tumor Segmentation under Incomplete Modalities. | Tianyi Liu, Haochuan Jiang, Kaizhu Huang |
| 2025 | CVPR | PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection. | Jianan Ye, Weiguang Zhao, Xi Yang, Guangliang Cheng, Kaizhu Huang |
| 2025 | CVPR | BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature Analysis. | Weiguang Zhao, Rui Zhang, Qiufeng Wang, Guangliang Cheng, Kaizhu Huang |
| 2025 | EMNLP | Can GRPO Boost Complex Multimodal Table Understanding? | Xiaoqiang Kang, Shengen Wu, Zimu Wang, Yilin Liu, Xiaobo Jin, Kaizhu Huang, Wei Wang, Yutao Yue, Xiaowei Huang, Qiufeng Wang |
| 2025 | ICCV | Towards a Universal 3D Medical Multi-Modality Generalization via Learning Personalized Invariant Representation. | Zhaorui Tan, Xi Yang, Tan Pan, Tianyi Liu, Chen Jiang, Xin Guo, Qiufeng Wang, Anh Nguyen, Yuan Qi, Kaizhu Huang, Yuan Cheng |
| 2025 | ICDM | TriLoRA: Enhancing Realistic Robustness of Low-Step Diffusion Sampling via Structured Low-Rank Adaptation. | Chengcheng Feng, Mu He, Haojie Yin, Kaizhu Huang |
| 2025 | ICDM | The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning. | Yiming Lin, Yuchen Niu, Shang Wang, Kaizhu Huang, Qiufeng Wang, Xiao-Bo Jin |
| 2025 | ICDM | Hyperbolic Structured Classification for Robust Single Positive Multi-Label Learning. | Yiming Lin, Shang Wang, Junkai Zhou, Qiufeng Wang, Xiao-Bo Jin, Kaizhu Huang |
| 2025 | ICDM | SmoothGuard: Defending Multimodal Large Language Models with Noise Perturbation and Clustering Aggregation. | Guangzhi Su, Shuchang Huang, Yutong Ke, Zhuohang Liu, Long Qian, Kaizhu Huang |
| 2025 | ICLR | ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning. | Zihan Ye, Shreyank N. Gowda, Shiming Chen, Xiaowei Huang, Haotian Xu, Fahad Shahbaz Khan, Yaochu Jin, Kaizhu Huang, Xiaobo Jin |
| 2025 | ICLR | Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist. | Zihao Zhou, Shudong Liu, Maizhen Ning, Wei Liu, Jindong Wang, Derek F. Wong, Xiaowei Huang, Qiufeng Wang, Kaizhu Huang |
| 2025 | ICONIP | Entropy-Guided Distillation for Medical Image Segmentation Under Missing Modalities. | Jinming Zhang, Yuyao Yan, Xi Yang, Kaizhu Huang |
| 2025 | ICONIP | Defending Against Jailbreak Through Early Exit Generation of Large Language Models. | Chongwen Zhao, Zhihao Dou, Kaizhu Huang |
| 2025 | WACV | Covariance-Based Space Regularization for Few-Shot Class Incremental Learning. | Yijie Hu, Guanyu Yang, Zhaorui Tan, Xiaowei Huang, Kaizhu Huang, Qiufeng Wang |
| 2025 | SiggraphA | DvD: Unleashing a Generative Paradigm for Document Dewarping via Coordinates-based Diffusion Model. | Weiguang Zhang, Huangcheng Lu, Maizhen Ning, Xiaowei Huang, Wei Wang, Kaizhu Huang, Qiufeng Wang |
| 2024 | AAAI | Unraveling Batch Normalization for Realistic Test-Time Adaptation. | Zixian Su, Jingwei Guo, Kai Yao, Xi Yang, Qiufeng Wang, Kaizhu Huang |
| 2024 | AAAI | Semantic-Aware Data Augmentation for Text-to-Image Synthesis. | Zhaorui Tan, Xi Yang, Kaizhu Huang |
| 2024 | AAAI | MathAttack: Attacking Large Language Models towards Math Solving Ability. | Zihao Zhou, Qiufeng Wang, Mingyu Jin, Jie Yao, Jianan Ye, Wei Liu, Wei Wang, Xiaowei Huang, Kaizhu Huang |
| 2024 | CVPR | Rethinking Multi-Domain Generalization with A General Learning Objective. | Zhaorui Tan, Xi Yang, Kaizhu Huang |
| 2024 | ECCV | Delving into Adversarial Robustness on Document Tampering Localization. | Huiru Shao, Zhuang Qian, Kaizhu Huang, Wei Wang, Xiaowei Huang, Qiufeng Wang |
| 2024 | ICDAR | Class Incremental Learning for Character String Recognition. | Yijie Hu, Yan-Ming Zhang, Kaizhu Huang, Qiu-Feng Wang |
| 2024 | ICDAR | Coarse-to-Fine Document Image Registration for Dewarping. | Weiguang Zhang, Qiufeng Wang, Kaizhu Huang, Xiaomeng Gu, Fengjun Guo |
| 2024 | ICRA | Lite-SVO: Towards A Lightweight Self-Supervised Semantic Visual Odometry Exploiting Multi-Feature Sharing Architecture. | Wenhui Wei, Jiantao Li, Kaizhu Huang, Jiadong Li, Xin Liu, Yangfan Zhou |
| 2023 | AAAI | Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation. | Zixian Su, Kai Yao, Xi Yang, Kaizhu Huang, Qiufeng Wang, Jie Sun |
| 2023 | ACL | Prompt-based Zero-shot Text Classification with Conceptual Knowledge. | Yuqi Wang, Wei Wang, Qi Chen, Kaizhu Huang, Anh Nguyen, Suparna De |
| 2023 | ACL | Learning by Analogy: Diverse Questions Generation in Math Word Problem. | Zihao Zhou, Maizhen Ning, Qiufeng Wang, Jie Yao, Wei Wang, Xiaowei Huang, Kaizhu Huang |
| 2023 | CIKM | Explore Epistemic Uncertainty in Domain Adaptive Semantic Segmentation. | Kai Yao, Zixian Su, Xi Yang, Jie Sun, Kaizhu Huang |
| 2023 | ICCV | Towards Better Robustness against Common Corruptions for Unsupervised Domain Adaptation. | Zhiqiang Gao, Kaizhu Huang, Rui Zhang, Dawei Liu, Jieming Ma |
| 2023 | ICCV | Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization. | Weiguang Zhao, Yuyao Yan, Chaolong Yang, Jianan Ye, Xi Yang, Kaizhu Huang |
| 2023 | ICDAR | Decoupled Learning for Long-Tailed Oracle Character Recognition. | Jing Li, Bin Dong, Qiu-Feng Wang, Lei Ding, Rui Zhang, Kaizhu Huang |
| 2023 | ICDM | Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network. | Yiming Lin, Xiao-Bo Jin, Qiufeng Wang, Kaizhu Huang |
| 2023 | ICONIP | Improving Handwritten Mathematical Expression Recognition via an Attention Refinement Network. | Jiayi Liu, Qiufeng Wang, Wei Liao, Jianghan Chen, Kaizhu Huang |
| 2023 | ICONIP | Progressive Supervision for Tampering Localization in Document Images. | Huiru Shao, Kaizhu Huang, Wei Wang, Xiaowei Huang, Qiufeng Wang |
| 2023 | ICONIP | PAG: Protecting Artworks from Personalizing Image Generative Models. | Zhaorui Tan, Siyuan Wang, Xi Yang, Kaizhu Huang |
| 2023 | ICONIP | Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation. | Chaolong Yang, Yuyao Yan, Weiguang Zhao, Jianan Ye, Xi Yang, Amir Hussain, Bin Dong, Kaizhu Huang |
| 2023 | WWW | Graph Neural Networks with Diverse Spectral Filtering. | Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang |
| 2022 | ECCV | Outpainting by Queries. | Kai Yao, Penglei Gao, Xi Yang, Jie Sun, Rui Zhang, Kaizhu Huang |
| 2022 | ICONIP | Towards Accurate Alignment and Sufficient Context in Scene Text Recognition. | Yijie Hu, Bin Dong, Qiufeng Wang, Lei Ding, Xiaobo Jin, Kaizhu Huang |
| 2022 | ICONIP | Rethinking Image Inpainting with Attention Feature Fusion. | Shuyi Qu, Kaizhu Huang, Qiufeng Wang, Bin Dong |
| 2022 | SmartComp | Generalised Zero-shot Learning for Entailment-based Text Classification with External Knowledge. | Yuqi Wang, Wei Wang, Qi Chen, Kaizhu Huang, Anh Nguyen, Suparna De |
| 2021 | BMVC | Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing. | Liuqing Zhao, Fan Lyu, Fuyuan Hu, Kaizhu Huang, Fenglei Xu, Linyan Li |
| 2021 | ICCV | Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation. | Zhiqiang Gao, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Chaoliang Zhong |
| 2021 | ICDAR | Mix-Up Augmentation for Oracle Character Recognition with Imbalanced Data Distribution. | Jing Li, Qiu-Feng Wang, Rui Zhang, Kaizhu Huang |
| 2021 | ICML | Towards Better Robust Generalization with Shift Consistency Regularization. | Shufei Zhang, Zhuang Qian, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi |
| 2021 | ICONIP | A Segment-Based Layout Aware Model for Information Extraction on Document Images. | Maizhen Ning, Qiu-Feng Wang, Kaizhu Huang, Xiaowei Huang |
| 2020 | AAAI | Towards Better Forecasting by Fusing Near and Distant Future Visions. | Jiezhu Cheng, Kaizhu Huang, Zibin Zheng |
| 2020 | AAAI | Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach. | Bingfeng Zhang, Jimin Xiao, Yunchao Wei, Mingjie Sun, Kaizhu Huang |
| 2020 | ECCV | Feature Representation Matters: End-to-End Learning for Reference-Based Image Super-Resolution. | Yanchun Xie, Jimin Xiao, Mingjie Sun, Chao Yao, Kaizhu Huang |
| 2020 | ICONIP | Adversarial Rectification Network for Scene Text Regularization. | Jing Li, Qiu-Feng Wang, Rui Zhang, Kaizhu Huang |
| 2020 | ICONIP | MCRN: A New Content-Based Music Classification and Recommendation Network. | Yuxu Mao, Guoqiang Zhong, Haizhen Wang, Kaizhu Huang |
| 2020 | ICONIP | CDMC'19 - The 10th International Cybersecurity Data Mining Competition. | Shaoning Pang, Tao Ban, Youki Kadobayashi, Jungsuk Song, Kaizhu Huang, Geongsen Poh, Iqbal Gondal, Kitsuchart Pasupa, Fadi A. Aloul |
| 2020 | ICONIP | Feature Redirection Network for Few-Shot Classification. | Yanan Wang, Guoqiang Zhong, Yuxu Mao, Kaizhu Huang |
| 2020 | ICONIP | Multi-scale Attention Consistency for Multi-label Image Classification. | Haotian Xu, Xiaobo Jin, Qiufeng Wang, Kaizhu Huang |
| 2020 | INDIN | Maximum Power Point Tracking of Photovoltaic Systems Using Deep Q-networks. | Kangshi Wang, Dou Hong, Jieming Ma, Ka Lok Man, Kaizhu Huang, Xiaowei Huang |
| 2020 | SmartComp | Multi-modal Adversarial Training for Crisis-related Data Classification on Social Media. | Qi Chen, Wei Wang, Kaizhu Huang, Suparna De, Frans Coenen |
| 2019 | ICDAR | An Interactive and Generative Approach for Chinese Shanshui Painting Document. | Aven-Le Zhou, Qiu-Feng Wang, Kaizhu Huang, Cheng-Hung Lo |
| 2019 | ICDM | Random Features and Random Neurons for Brain-Inspired Big Data Analytics. | Mandar Gogate, Amir Hussain, Kaizhu Huang |
| 2019 | ICDM | Deep Minimax Probability Machine. | Lirong He, Ziyi Guo, Kaizhu Huang, Zenglin Xu |
| 2019 | ICDM | Primitives Generation Policy Learning without Catastrophic Forgetting for Robotic Manipulation. | Fangzhou Xiong, Zhiyong Liu, Kaizhu Huang, Xu Yang, Amir Hussain |
| 2019 | ICDM | VSB-DVM: An End-to-End Bayesian Nonparametric Generalization of Deep Variational Mixture Model. | Xi Yang, Yuyao Yan, Kaizhu Huang, Rui Zhang |
| 2019 | ICDM | Generalized Adversarial Training in Riemannian Space. | Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain |
| 2019 | ICDM | SimpleGAN Stabilizing Generative Adversarial Networks with Simple Distributions. | Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Amir Hussain |
| 2019 | ICONIP | Enhanced LSTM with Batch Normalization. | Li-Na Wang, Guoqiang Zhong, Shoujun Yan, Junyu Dong, Kaizhu Huang |
| 2019 | IJCNN | MPSSD: Multi-Path Fusion Single Shot Detector. | Shuyi Qu, Kaizhu Huang, Amir Hussain, Yannis Goulermas |
| 2019 | IUI | Mining human activity and smartphone position from motion sensors. | Zhiqiang Gao, Dawei Liu, Kaizhu Huang, Yi Huang |
| 2019 | NAACL | Joint Multi-Label Attention Networks for Social Text Annotation. | Hang Dong, Wei Wang, Kaizhu Huang, Frans Coenen |
| 2018 | ICONIP | W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks. | Haochuan Jiang, Guanyu Yang, Kaizhu Huang, Rui Zhang |
| 2018 | ICONIP | Improving Deep Neural Network Performance with Kernelized Min-Max Objective. | Kai Yao, Kaizhu Huang, Rui Zhang, Amir Hussain |
| 2017 | DASC | Integrated Discovery of Location Prediction Rules in Mobile Environment. | Elahe Naserian, Xinheng Wang, Xiaolong Xu, Yuning Dong, Nektarios Georgalas, Kaizhu Huang |
| 2017 | ICONIP | Field Support Vector Regression. | Haochuan Jiang, Kaizhu Huang, Rui Zhang |
| 2017 | ICONIP | Deep Mixtures of Factor Analyzers with Common Loadings: A Novel Deep Generative Approach to Clustering. | Xi Yang, Kaizhu Huang, Rui Zhang |
| 2017 | ICONIP | Improve Deep Learning with Unsupervised Objective. | Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain |
| 2016 | ICONIP | Learning Latent Features with Infinite Non-negative Binary Matrix Tri-factorization. | Xi Yang, Kaizhu Huang, Rui Zhang, Amir Hussain |
| 2016 | ICONIP | Learning from Few Samples with Memory Network. | Shufei Zhang, Kaizhu Huang |
| 2015 | ICDM | A Unified Gradient Regularization Family for Adversarial Examples. | Chunchuan Lyu, Kaizhu Huang, Hai-Ning Liang |
| 2015 | ICONIP | Is DeCAF Good Enough for Accurate Image Classification? | Yajuan Cai, Guoqiang Zhong, Yuchen Zheng, Kaizhu Huang, Junyu Dong |
| 2015 | IJCNN | Two-layer Mixture of Factor Analyzers with Joint Factor Loading. | Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas |
| 2015 | WSDM | WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications. | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2014 | ICONIP | Unsupervised Dimensionality Reduction for Gaussian Mixture Model. | Xi Yang, Kaizhu Huang, Rui Zhang |
| 2014 | ICONIP | Text Categorization with Diversity Random Forests. | Chun Yang, Xu-Cheng Yin, Kaizhu Huang |
| 2014 | ICONIP | A Novel Hybrid Approach for Combining Deep and Traditional Neural Networks. | Rui Zhang, Shufei Zhang, Kaizhu Huang |
| 2013 | ICDM | Feature Transformation with Class Conditional Decorrelation. | Xu-Yao Zhang, Kaizhu Huang, Cheng-Lin Liu |
| 2013 | ICONIP | Dynamic Ensemble of Ensembles in Nonstationary Environments. | Xu-Cheng Yin, Kaizhu Huang, Hong-Wei Hao |
| 2013 | ICONIP | One-Side Probability Machine: Learning Imbalanced Classifiers Locally and Globally. | Rui Zhang, Kaizhu Huang |
| 2013 | SIGIR | Accurate and robust text detection: a step-in for text retrieval in natural scene images. | Xu-Cheng Yin, Xuwang Yin, Kaizhu Huang, Hong-Wei Hao |
| 2012 | ICONIP | Multiple Outlooks Learning with Support Vector Machines. | Yinglu Liu, Xu-Yao Zhang, Kaizhu Huang, Xinwen Hou, Cheng-Lin Liu |
| 2012 | ICONIP | Manifold Regularized Multi-Task Learning. | Peipei Yang, Xu-Yao Zhang, Kaizhu Huang, Cheng-Lin Liu |
| 2012 | ICONIP | Classifier Ensemble Using a Heuristic Learning with Sparsity and Diversity. | Xu-Cheng Yin, Kaizhu Huang, Hong-Wei Hao, Khalid Iqbal, Zhi-Bin Wang |
| 2011 | ICDM | Fast and Robust Graph-based Transductive Learning via Minimum Tree Cut. | Yan-Ming Zhang, Kaizhu Huang, Cheng-Lin Liu |
| 2011 | ICDM | Low Rank Metric Learning with Manifold Regularization. | Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu |
| 2011 | ICONIP | Graphical Lasso Quadratic Discriminant Function for Character Recognition. | Bo Xu, Kaizhu Huang, Irwin King, Cheng-Lin Liu, Jun Sun, Satoshi Naoi |
| 2011 | ICONIP | Multi-Task Low-Rank Metric Learning Based on Common Subspace. | Peipei Yang, Kaizhu Huang, Cheng-Lin Liu |
| 2011 | IJCAI | Pattern Field Classification with Style Normalized Transformation. | Xu-Yao Zhang, Kaizhu Huang, Cheng-Lin Liu |
| 2010 | ICFHR | Similar Handwritten Chinese Characters Recognition by Critical Region Selection Based on Average Symmetric Uncertainty. | Bo Xu, Kaizhu Huang, Cheng-Lin Liu |
| 2010 | ICIP | Ellipse Detection with an Improved Randomized Hough Transform for Intellectual Phacoemulsification Surgery Systems. | Hong-Wei Hao, Qian Liu, Xu-Cheng Yin, Zhi-Bin Wang, Kaizhu Huang |
| 2010 | ICONIP | Learning ECOC and Dichotomizers Jointly from Data. | Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu |
| 2010 | ICPR | Dimensionality Reduction by Minimal Distance Maximization. | Bo Xu, Kaizhu Huang, Cheng-Lin Liu |
| 2010 | UAI | Robust Metric Learning by Smooth Optimization. | Kaizhu Huang, Rong Jin, Zenglin Xu, Cheng-Lin Liu |
| 2009 | ICDM | GSML: A Unified Framework for Sparse Metric Learning. | Kaizhu Huang, Yiming Ying, Colin Campbell |
| 2009 | ICONIP | Exchange Rate Forecasting Using Classifier Ensemble. | Zhi-Bin Wang, Hong-Wei Hao, Xu-Cheng Yin, Qian Liu, Kaizhu Huang |
| 2009 | ICONIP | A Rock Structure Recognition System Using FMI Images. | Xu-Cheng Yin, Qian Liu, Hong-Wei Hao, Zhi-Bin Wang, Kaizhu Huang |
| 2009 | IJCNN | Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data. | Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, Colin Campbell |
| 2008 | CIKM | Semi-supervised text categorization by active search. | Zenglin Xu, Rong Jin, Kaizhu Huang, Michael R. Lyu, Irwin King |
| 2008 | ICDM | Direct Zero-Norm Optimization for Feature Selection. | Kaizhu Huang, Irwin King, Michael R. Lyu |
| 2008 | ICDM | Semi-supervised Learning from General Unlabeled Data. | Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu |
| 2008 | IJCNN | Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel. | Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu |
| 2007 | ICDAR | An SVM-Based High-accurate Recognition Approach for Handwritten Numerals by Using Difference Features. | Kaizhu Huang, Jun Sun, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi |
| 2007 | ICDAR | Degraded Character Recognition by Complementary Classifiers Combination. | Jun Sun, Kaizhu Huang, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi |
| 2007 | ICONIP | Kernel Maximum a Posteriori Classification with Error Bound Analysis. | Zenglin Xu, Kaizhu Huang, Jianke Zhu, Irwin King, Michael R. Lyu |
| 2006 | ICONIP | A Hybrid Handwritten Chinese Address Recognition Approach. | Kaizhu Huang, Jun Sun, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi, Chong Long, Li Zhuang, Xiaoyan Zhu |
| 2006 | IJCNN | Local Support Vector Regression for Financial Time Series Prediction. | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2004 | CVPR | Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine. | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2004 | ICML | Learning large margin classifiers locally and globally. | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2004 | ICONIP | Outliers Treatment in Support Vector Regression for Financial Time Series Prediction. | Haiqin Yang, Kaizhu Huang, Laiwan Chan, Irwin King, Michael R. Lyu |
| 2004 | IJCNN | Biased support vector machine for relevance feedback in image retrieval. | Steven Chu-Hong Hoi, Chi-Hang Chan, Kaizhu Huang, Michael R. Lyu, Irwin King |
| 2004 | ISAIM | Biased Minimax Probability Machine for Medical Diagnosis. | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan |
| 2003 | ICANN | Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier. | Kaizhu Huang, Irwin King, Michael R. Lyu |
| 2003 | IJCNN | Discriminative training of Bayesian Chow-Liu multinet classifiers. | Kaizhu Huang, Irwun King, Michael R. Lyu |