Kaizhu Huang

433 papers A* 46A 11B 13C 2Journal 264Unranked 90
YearRankTypeTitle / Venue / Authors
2026 J jnl
A benchmark and method for photographed table reasoning.
Pattern Recognit.
Xiaoqiang Kang, Zimu Wang, Xiaochen Zi, Xiaobo Jin, Kaizhu Huang, Fei Yin, Qiufeng Wang
2026 J jnl
A comprehensive survey of oracle character recognition: Challenges, datasets, methodology, and beyond.
Pattern Recognit.
Jing Li, Xueke Chi, Qiufeng Wang, Kaizhu Huang, Da-Han Wang, Yongge Liu, Cheng-Lin Liu
2026 J jnl
From 2D Images to 3D Model: Segmenting and Reconstructing Acne for Robust Skin Lesion Analysis.
Cogn. Comput.
Chengrui Zhang, Zhaorui Tan, Xi Yang, Liqiong Yuan, Zhanbao Su, Amir Hussain, Yifei Zhang, Bin Dong, Jie Sun, Kaizhu Huang
2026 J jnl
IDEA: Image description enhanced CLIP-adapter for image classification.
Pattern Recognit.
Zhipeng Ye, Feng Jiang, Qiufeng Wang, Kaizhu Huang, Jiaqi Huang
2026 J jnl
Learning transferable collaborative behaviors for multiple agents in the game environment.
Entertain. Comput.
Wei Li, Jiali Lv, Xu Zhang, Kaizhu Huang, Aiguo Song
2026 J jnl
Lena-TRNN: Exploring energy flow for time series prediction.
Neural Networks
Penglei Gao, Rui Zhang, Xi Yang, Zhuang Qian, Kaizhu Huang
2026 J jnl
MedMAP: Promoting Incomplete Multi-Modal Brain Tumor Segmentation With Alignment.
IEEE J. Biomed. Health Informatics
Tianyi Liu, Zhaorui Tan, Muyin Chen, Xi Yang, Haochuan Jiang, Kaizhu Huang
2026 J jnl
Pareto-Guided Optimization for Uncertainty-Aware Medical Image Segmentation.
CoRR
Jinming Zhang, Xi Yang, Youpeng Yang, Haosen Shi, Yuyao Yan, Qiufeng Wang, Guangliang Cheng, Kaizhu Huang
2026 J jnl
Point2pix-Zero: Point-driven refined diffusion for multi-object image editing.
Pattern Recognit.
Siyuan Wang, Yuyao Yan, Xi Yang, Rui Zhang, Qiufeng Wang, Guangliang Cheng, Kaizhu Huang
2026 J jnl
SynthVerse: A Large-Scale Diverse Synthetic Dataset for Point Tracking.
CoRR
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 J jnl
TPGCA: Transferable Policy Generation and Credit Assignment Network for Cooperative Multiagent Reinforcement Learning.
IEEE Trans. Comput. Soc. Syst.
Wei Li, Jiali Lv, Hongming Liu, Kaizhu Huang, Aiguo Song
2026 J jnl
Tele-Catch: Adaptive Teleoperation for Dexterous Dynamic 3D Object Catching.
CoRR
Weiguang Zhao, Junting Dong, Rui Zhang, Kailin Li, Qin Zhao, Kaizhu Huang
2026 J jnl
Towards Faithful Reasoning in Comics for Small MLLMs.
CoRR
Chengcheng Feng, Haojie Yin, Yucheng Jin, Kaizhu Huang
2026 J jnl
Unlock Pose Diversity: Accurate and Efficient Implicit Keypoint-based Spatiotemporal Diffusion for Audio-driven Talking Portrait.
Int. J. Comput. Vis.
Chaolong Yang, Kai Yao, Yuyao Yan, Chenru Jiang, Weiguang Zhao, Jie Sun, Guangliang Cheng, Yifei Zhang, Bin Dong, Kaizhu Huang
2026 — conf
Unraveling LLM Jailbreaks Through Safety Knowledge Neurons.
EACL (Volume 1: Long Papers)
Chongwen Zhao, Yutong Ke, Kaizhu Huang
2026 J jnl
You look from old classes: Towards accurate few shot class-incremental learning.
Pattern Recognit.
Yijie Hu, Kaizhu Huang, Wei Wang, Xiaowei Huang, Qiu-Feng Wang
2025 J jnl
A Multi-scale Feature Fusion Network Focusing on Small Objects in UAV-View.
Cogn. Comput.
Jiantao Li, Chenbin Yu, Wenhui Wei, Jiadong Li, Kaizhu Huang, Amir Hussian, Xin Liu, Yangfan Zhou
2025 J jnl
A Parallel Corpus of Chinese-English Legal Judgments with Argumentative Structure Annotations.
Data Intell.
Jingshi Zhou, Fei Cheng, Xiaojun Zhang, Kaizhu Huang
2025 A* conf
BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature Analysis.
CVPR
Weiguang Zhao, Rui Zhang, Qiufeng Wang, Guangliang Cheng, Kaizhu Huang
2025 J jnl
BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature Analysis.
CoRR
Weiguang Zhao, Rui Zhang, Qiu-Feng Wang, Guangliang Cheng, Kaizhu Huang
2025 A* conf
Can GRPO Boost Complex Multimodal Table Understanding?
EMNLP
Xiaoqiang Kang, Shengen Wu, Zimu Wang, Yilin Liu, Xiaobo Jin, Kaizhu Huang, Wei Wang, Yutao Yue, Xiaowei Huang, Qiufeng Wang
2025 J jnl
Can GRPO Boost Complex Multimodal Table Understanding?
CoRR
Xiaoqiang Kang, Shengen Wu, Zimu Wang, Yilin Liu, Xiaobo Jin, Kaizhu Huang, Wei Wang, Yutao Yue, Xiaowei Huang, Qiufeng Wang
2025 J jnl
Can MLLMs Absorb Math Reasoning Abilities from LLMs as Free Lunch?
CoRR
Yijie Hu, Zihao Zhou, Kaizhu Huang, Xiaowei Huang, Qiufeng Wang
2025 J jnl
Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors.
CoRR
Chenru Jiang, Chengrui Zhang, Xi Yang, Jie Sun, Yifei Zhang, Bin Dong, Kaizhu Huang
2025 A conf
Covariance-Based Space Regularization for Few-Shot Class Incremental Learning.
WACV
Yijie Hu, Guanyu Yang, Zhaorui Tan, Xiaowei Huang, Kaizhu Huang, Qiufeng Wang
2025 — conf
Defending Against Jailbreak Through Early Exit Generation of Large Language Models.
ICONIP (5)
Chongwen Zhao, Zhihao Dou, Kaizhu Huang
2025 J jnl
Discrete Wavelet Transform-Based Capsule Network for Hyperspectral Image Classification.
CoRR
Zhiqiang Gao, Jiaqi Wang, Hangchi Shen, Zhihao Dou, Xiangbo Zhang, Kaizhu Huang
2025 A* conf
Disentangling Tabular Data Towards Better One-Class Anomaly Detection.
AAAI
Jianan Ye, Zhaorui Tan, Yijie Hu, Xi Yang, Guangliang Cheng, Kaizhu Huang
2025 J jnl
Distillation-Based Domain Generalization for Cross-Dataset EEG-Based Emotion Recognition.
IEEE Trans. Emerg. Top. Comput. Intell.
Wei Li, Siyi Wang, Shitong Shao, Kaizhu Huang
2025 A* conf
DvD: Unleashing a Generative Paradigm for Document Dewarping via Coordinates-based Diffusion Model.
SIGGRAPH Asia
Weiguang Zhang, Huangcheng Lu, Maizhen Ning, Xiaowei Huang, Wei Wang, Kaizhu Huang, Qiufeng Wang
2025 J jnl
DvD: Unleashing a Generative Paradigm for Document Dewarping via Coordinates-based Diffusion Model.
CoRR
Weiguang Zhang, Huangcheng Lu, Maizhen Ning, Xiaowei Huang, Wei Wang, Kaizhu Huang, Qiufeng Wang
2025 J jnl
Efficient Interactive 3D Multi-Object Removal.
CoRR
Jingcheng Ni, Weiguang Zhao, Daniel Wang, Ziyao Zeng, Chenyu You, Alex Wong, Kaizhu Huang
2025 — conf
Entropy-Guided Distillation for Medical Image Segmentation Under Missing Modalities.
ICONIP (5)
Jinming Zhang, Yuyao Yan, Xi Yang, Kaizhu Huang
2025 J jnl
Exploiting Layer Normalization Fine-tuning in Visual Transformer Foundation Models for Classification.
CoRR
Zhaorui Tan, Tan Pan, Kaizhu Huang, Weimiao Yu, Kai Yao, Chen Jiang, Qiu-Feng Wang, Anh Nguyen, Xin Guo, Yuan Cheng, Xi Yang
2025 A conf
From 2D Images to 3D Model: Weakly Supervised Multi-View Face Reconstruction with Deep Fusion.
ICME
Weiguang Zhao, Chaolong Yang, Jianan Ye, Rui Zhang, Yuyao Yan, Xi Yang, Bin Dong, Amir Hussain, Kaizhu Huang
2025 A* conf
GNS: Solving Plane Geometry Problems by Neural-Symbolic Reasoning with Multi-Modal LLMs.
AAAI
Maizhen Ning, Zihao Zhou, Qiufeng Wang, Xiaowei Huang, Kaizhu Huang
2025 J jnl
GeoSDF: Plane Geometry Diagram Synthesis via Signed Distance Field.
CoRR
Chengrui Zhang, Maizhen Ning, Zihao Zhou, Jie Sun, Kaizhu Huang, Qiu-Feng Wang
2025 J jnl
HDMTK: Full Integration of Hierarchical Decision-Making and Tactical Knowledge in Multiagent Adversarial Games.
IEEE Trans. Cogn. Dev. Syst.
Wei Li, Boling Hu, Aiguo Song, Kaizhu Huang
2025 — conf
Hyperbolic Structured Classification for Robust Single Positive Multi-Label Learning.
ICDM (Workshops)
Yiming Lin, Shang Wang, Junkai Zhou, Qiufeng Wang, Xiao-Bo Jin, Kaizhu Huang
2025 J jnl
Hyperbolic Structured Classification for Robust Single Positive Multi-label Learning.
CoRR
Yiming Lin, Shang Wang, Junkai Zhou, Qiufeng Wang, Xiao-Bo Jin, Kaizhu Huang
2025 J jnl
IDEA: Image Description Enhanced CLIP-Adapter.
CoRR
Zhipeng Ye, Feng Jiang, Qiufeng Wang, Kaizhu Huang, Jiaqi Huang
2025 J jnl
Interpretable Zero-shot Learning with Infinite Class Concepts.
CoRR
Zihan Ye, Shreyank N. Gowda, Shiming Chen, Yaochu Jin, Kaizhu Huang, Xiaobo Jin
2025 A* conf
Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist.
ICLR
Zihao Zhou, Shudong Liu, Maizhen Ning, Wei Liu, Jindong Wang, Derek F. Wong, Xiaowei Huang, Qiufeng Wang, Kaizhu Huang
2025 A* conf
KDTalker++: Controllable Talking Portrait Generation with Audio, Text, and Expression Editing.
ACM Multimedia
Chaolong Yang, Yinuo Guo, Kai Yao, Yuyao Yan, Jie Sun, Kaizhu Huang
2025 A* conf
KMD: Koopman Multi-modality Decomposition for Generalized Brain Tumor Segmentation under Incomplete Modalities.
CVPR
Tianyi Liu, Haochuan Jiang, Kaizhu Huang
2025 — conf
Leveraging Graph Neural Networks in Transferring Multimodal Knowledge for Unimodal Segmentation.
ISBI
Tianyi Liu, Jiongshu Wang, Haochuan Jiang, Kaizhu Huang
2025 J jnl
Open-Pose 3D zero-shot learning: Benchmark and challenges.
Neural Networks
Weiguang Zhao, Guanyu Yang, Rui Zhang, Chenru Jiang, Chaolong Yang, Yuyao Yan, Amir Hussain, Kaizhu Huang
2025 A* conf
PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection.
CVPR
Jianan Ye, Weiguang Zhao, Xi Yang, Guangliang Cheng, Kaizhu Huang
2025 J jnl
Peeping into the Future: Understanding and Combating Generative AI-Based Fake News.
Cogn. Comput.
Sanjeev Kumar, Siva Sai, Vinay Chamola, Aanchal Gaur, Chitwan Agarwal, Kaizhu Huang, Amir Hussain
2025 J jnl
Prompt-Enhanced: Leveraging language representation for prompt continual learning.
Neural Networks
Wei Li, Dezhi Li, Shitong Shao, Kaizhu Huang, Zhen Lei
2025 J jnl
Reinforcement Learning for Human-AI Collaboration: Challenges, Mechanisms, and Methods.
Cogn. Comput.
Wei Li, Hongming Liu, Kaizhu Huang, Amir Hussain
2025 J jnl
Revisiting 3D point cloud analysis with Markov process.
Pattern Recognit.
Chenru Jiang, Wuwei Ma, Kaizhu Huang, Qiufeng Wang, Xi Yang, Weiguang Zhao, Junwei Wu, Xinheng Wang, Jimin Xiao, Zhenxing Niu
2025 J jnl
SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation.
IEEE Trans. Neural Networks Learn. Syst.
Kai Yao, Zhaorui Tan, Zixian Su, Xi Yang, Jie Sun, Kaizhu Huang
2025 J jnl
SafeBehavior: Simulating Human-Like Multistage Reasoning to Mitigate Jailbreak Attacks in Large Language Models.
CoRR
Qinjian Zhao, Jiaqi Wang, Zhiqiang Gao, Zhihao Dou, Belal Abuhaija, Kaizhu Huang
2025 J jnl
Saving for the future: Enhancing generalization via partial logic regularization.
CoRR
Zhaorui Tan, Yijie Hu, Xi Yang, Qiufeng Wang, Anh Nguyen, Kaizhu Huang
2025 — conf
SmoothGuard: Defending Multimodal Large Language Models with Noise Perturbation and Clustering Aggregation.
ICDM (Workshops)
Guangzhi Su, Shuchang Huang, Yutong Ke, Zhuohang Liu, Long Qian, Kaizhu Huang
2025 J jnl
SmoothGuard: Defending Multimodal Large Language Models with Noise Perturbation and Clustering Aggregation.
CoRR
Guangzhi Su, Shuchang Huang, Yutong Ke, Zhuohang Liu, Long Qian, Kaizhu Huang
2025 J jnl
Stagger Network: Rethinking information loss in medical image segmentation with various-sized targets.
Neural Networks
Tianyi Liu, Zhaorui Tan, Haochuan Jiang, Kaizhu Huang
2025 A* conf
Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation.
AAAI
Xiaoqiang Kang, Zimu Wang, Xiaobo Jin, Wei Wang, Kaizhu Huang, Qiufeng Wang
2025 A* conf
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning.
ICDM
Yiming Lin, Yuchen Niu, Shang Wang, Kaizhu Huang, Qiufeng Wang, Xiao-Bo Jin
2025 A* conf
Towards Better Robustness Against Natural Corruptions in Document Tampering Localization.
AAAI
Huiru Shao, Kaizhu Huang, Wei Wang, Xiaowei Huang, Qiufeng Wang
2025 A* conf
Towards Training-Free Open-World Classification with 3D Generative Models.
ACM Multimedia
Xinzhe Xia, Weiguang Zhao, Yuyao Yan, Guanyu Yang, Rui Zhang, Kaizhu Huang, Xi Yang
2025 J jnl
Towards Training-Free Open-World Classification with 3D Generative Models.
CoRR
Xinzhe Xia, Weiguang Zhao, Yuyao Yan, Guanyu Yang, Rui Zhang, Kaizhu Huang, Xi Yang
2025 — conf
TriLoRA: Enhancing Realistic Robustness of Low-Step Diffusion Sampling via Structured Low-Rank Adaptation.
ICDM (Workshops)
Chengcheng Feng, Mu He, Haojie Yin, Kaizhu Huang
2025 J jnl
Unlock Pose Diversity: Accurate and Efficient Implicit Keypoint-based Spatiotemporal Diffusion for Audio-driven Talking Portrait.
CoRR
Chaolong Yang, Kai Yao, Yuyao Yan, Chenru Jiang, Weiguang Zhao, Jie Sun, Guangliang Cheng, Yifei Zhang, Bin Dong, Kaizhu Huang
2025 J jnl
Unraveling LLM Jailbreaks Through Safety Knowledge Neurons.
CoRR
Chongwen Zhao, Kaizhu Huang
2025 A* conf
ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning.
ICLR
Zihan Ye, Shreyank N. Gowda, Shiming Chen, Xiaowei Huang, Haotian Xu, Fahad Shahbaz Khan, Yaochu Jin, Kaizhu Huang, Xiaobo Jin
2024 J jnl
A comprehensive survey of oracle character recognition: challenges, benchmarks, and beyond.
CoRR
Jing Li, Xueke Chi, Qiufeng Wang, Dahan Wang, Kaizhu Huang, Yongge Liu, Cheng-Lin Liu
2024 J jnl
A generalizable framework for low-rank tensor completion with numerical priors.
Pattern Recognit.
Shiran Yuan, Kaizhu Huang
2024 J jnl
Absorb and Repel: Pseudo-Label Refinement for Intra-Camera Supervised Person Re-Identification.
IEEE Trans. Artif. Intell.
Wei Li, Chuyi Chen, Kaizhu Huang
2024 — ed.
Advances in Brain Inspired Cognitive Systems - 13th International Conference, BICS 2023, Kuala Lumpur, Malaysia, August 5-6, 2023, Proceedings
BICS
Jinchang Ren, Amir Hussain, Iman Yi Liao, Rongjun Chen, Kaizhu Huang, Huimin Zhao, Xiaoyong Liu, Ping Ma, Thomas Maul
2024 — conf
Automated Offline Smartphone-Assisted Microfluidic Paper-Based Analytical Device for Biomarker Detection of Alzheimer's Disease.
EMBC
Sixuan Duan, Ruiqi Yong, Hang Yuan, Tianyu Cai, Kaizhu Huang, Kai Hoettges, Eng Gee Lim, Pengfei Song
2024 J jnl
Can Perturbations Help Reduce Investment Risks? Risk-aware Stock Recommendation via Split Variational Adversarial Training.
ACM Trans. Inf. Syst.
Jiezhu Cheng, Kaizhu Huang, Zibin Zheng
2024 J jnl
CathAction: A Benchmark for Endovascular Intervention Understanding.
CoRR
Baoru Huang, Tuan Van Vo, Chayun Kongtongvattana, Giulio Dagnino, Dennis Kundrat, Wenqiang Chi, Mohamed E. M. K. Abdelaziz, Trevor M. Y. Kwok, Tudor Jianu, Tuong Do, Hieu Le, Minh Nguyen, Hoan Nguyen, Erman Tjiputra, Quang Tran, Jianyang Xie, Yanda Meng, Binod Bhattarai, Zhaorui Tan, Hongbin Liu, Hong Seng Gan, Wei Wang, Xi Yang, Qiufeng Wang, Jionglong Su, Kaizhu Huang, Angelos Stefanidis, Min Guo, Bo Du, Rong Tao, Minh Vu, Guoyan Zheng, Yalin Zheng, Francisco Vasconcelos, Danail Stoyanov, Daniel S. Elson, Ferdinando Rodriguez y Baena, Anh Nguyen
2024 — conf
Class Incremental Learning for Character String Recognition.
ICDAR (5)
Yijie Hu, Yan-Ming Zhang, Kaizhu Huang, Qiu-Feng Wang
2024 — conf
Coarse-to-Fine Document Image Registration for Dewarping.
ICDAR (4)
Weiguang Zhang, Qiufeng Wang, Kaizhu Huang, Xiaomeng Gu, Fengjun Guo
2024 J jnl
Continuous Image Outpainting with Neural ODE.
ACM Trans. Multim. Comput. Commun. Appl.
Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang
2024 J jnl
Covariance-based Space Regularization for Few-shot Class Incremental Learning.
CoRR
Yijie Hu, Guanyu Yang, Zhaorui Tan, Xiaowei Huang, Kaizhu Huang, Qiu-Feng Wang
2024 — conf
DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness.
SemEval@NAACL
Yuqi Wang, Zeqiang Wang, Wei Wang, Qi Chen, Kaizhu Huang, Anh Nguyen, Suparna De
2024 J jnl
DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness.
CoRR
Yuqi Wang, Zeqiang Wang, Wei Wang, Qi Chen, Kaizhu Huang, Anh Nguyen, Suparna De
2024 J jnl
Decentralizing Test-time Adaptation under Heterogeneous Data Streams.
CoRR
Zixian Su, Jingwei Guo, Xi Yang, Qiufeng Wang, Kaizhu Huang
2024 — conf
Delving into Adversarial Robustness on Document Tampering Localization.
ECCV (65)
Huiru Shao, Zhuang Qian, Kaizhu Huang, Wei Wang, Xiaowei Huang, Qiufeng Wang
2024 J jnl
Disentangling Tabular Data towards Better One-Class Anomaly Detection.
CoRR
Jianan Ye, Zhaorui Tan, Yijie Hu, Xi Yang, Guangliang Cheng, Kaizhu Huang
2024 A* conf
Document Registration: Towards Automated Labeling of Pixel-Level Alignment Between Warped-Flat Documents.
ACM Multimedia
Weiguang Zhang, Qiufeng Wang, Kaizhu Huang, Xiaowei Huang, Fengjun Guo, Xiaomeng Gu
2024 J jnl
EEG-Defender: Defending against Jailbreak through Early Exit Generation of Large Language Models.
CoRR
Chongwen Zhao, Zhihao Dou, Kaizhu Huang
2024 J jnl
EPtask: Deep Reinforcement Learning Based Energy-Efficient and Priority-Aware Task Scheduling for Dynamic Vehicular Edge Computing.
IEEE Trans. Intell. Veh.
Peisong Li, Ziren Xiao, Xinheng Wang, Kaizhu Huang, Yi Huang, Honghao Gao
2024 J jnl
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily With Edge Splitting.
IEEE Trans. Pattern Anal. Mach. Intell.
Jingwei Guo, Kaizhu Huang, Rui Zhang, Xinping Yi
2024 J jnl
EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction With Exogenous Variables.
IEEE Trans. Cybern.
Penglei Gao, Xi Yang, Rui Zhang, Ping Guo, John Yannis Goulermas, Kaizhu Huang
2024 J jnl
Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models.
CoRR
Zihan Ye, Shreyank N. Gowda, Xiaobo Jin, Xiaowei Huang, Haotian Xu, Yaochu Jin, Kaizhu Huang
2024 J jnl
Generalized W-Net: Arbitrary-style Chinese Character Synthesization.
CoRR
Haochuan Jiang, Guanyu Yang, Fei Cheng, Kaizhu Huang
2024 J jnl
Guest Editorial: Advances in Deep Learning for Clinical and Healthcare Applications.
Cogn. Comput.
Cosimo Ieracitano, Francesco Carlo Morabito, Stefano Squartini, Kaizhu Huang, Xuelong Li, Mufti Mahmud
2024 J jnl
Improved Feature Generating Framework for Transductive Zero-shot Learning.
CoRR
Zihan Ye, Xinyuan Ru, Shiming Chen, Yaochu Jin, Kaizhu Huang, Xiaobo Jin
2024 J jnl
Improving Robust Generalization with Diverging Spanned Latent Space.
Trans. Mach. Learn. Res.
Owen Dou, Zhiqiang Gao, Hangchi Shen, Ziling Yuan, Shufei Zhang, Kaizhu Huang
2024 J jnl
Instance-Specific Model Perturbation Improves Generalized Zero-Shot Learning.
Neural Comput.
Guanyu Yang, Kaizhu Huang, Rui Zhang, Xi Yang
2024 J jnl
Inter-feature Relationship Certifies Robust Generalization of Adversarial Training.
Int. J. Comput. Vis.
Shufei Zhang, Zhuang Qian, Kaizhu Huang, Qiu-Feng Wang, Bin Gu, Huan Xiong, Xinping Yi
2024 A* conf
Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification.
NeurIPS
Zhaorui Tan, Xi Yang, Qiufeng Wang, Anh Nguyen, Kaizhu Huang
2024 J jnl
Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification.
CoRR
Zhaorui Tan, Xi Yang, Qiufeng Wang, Anh Nguyen, Kaizhu Huang
2024 J jnl
Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence.
Cogn. Comput.
Vikas Hassija, Vinay Chamola, Atmesh Mahapatra, Abhinandan Singal, Divyansh Goel, Kaizhu Huang, Simone Scardapane, Indro Spinelli, Mufti Mahmud, Amir Hussain
2024 J jnl
Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist.
CoRR
Zihao Zhou, Shudong Liu, Maizhen Ning, Wei Liu, Jindong Wang, Derek F. Wong, Xiaowei Huang, Qiufeng Wang, Kaizhu Huang
2024 J jnl
Learning Disentangled Graph Convolutional Networks Locally and Globally.
IEEE Trans. Neural Networks Learn. Syst.
Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang
2024 A* conf
Lite-SVO: Towards A Lightweight Self-Supervised Semantic Visual Odometry Exploiting Multi-Feature Sharing Architecture.
ICRA
Wenhui Wei, Jiantao Li, Kaizhu Huang, Jiadong Li, Xin Liu, Yangfan Zhou
2024 J jnl
Machine Un-learning: An Overview of Techniques, Applications, and Future Directions.
Cogn. Comput.
Siva Sai, Uday Mittal, Vinay Chamola, Kaizhu Huang, Indro Spinelli, Simone Scardapane, Zhiyuan Tan, Amir Hussain
2024 A* conf
MathAttack: Attacking Large Language Models towards Math Solving Ability.
AAAI
Zihao Zhou, Qiufeng Wang, Mingyu Jin, Jie Yao, Jianan Ye, Wei Liu, Wei Wang, Xiaowei Huang, Kaizhu Huang
2024 J jnl
MedMAP: Promoting Incomplete Multi-modal Brain Tumor Segmentation with Alignment.
CoRR
Tianyi Liu, Zhaorui Tan, Muyin Chen, Xi Yang, Haochuan Jiang, Kaizhu Huang
2024 — conf
Mind the Gap: Promoting Missing Modality Brain Tumor Segmentation with Alignment.
BIBM
Tianyi Liu, Zhaorui Tan, Haochuan Jiang, Xi Yang, Kaizhu Huang
2024 J jnl
Mind the Gap: Promoting Missing Modality Brain Tumor Segmentation with Alignment.
CoRR
Tianyi Liu, Zhaorui Tan, Haochuan Jiang, Xi Yang, Kaizhu Huang
2024 J jnl
Navigating Distribution Shifts in Medical Image Analysis: A Survey.
CoRR
Zixian Su, Jingwei Guo, Xi Yang, Qiu-Feng Wang, Frans Coenen, Kaizhu Huang
2024 J jnl
PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection.
CoRR
Jianan Ye, Weiguang Zhao, Xi Yang, Guangliang Cheng, Kaizhu Huang
2024 J jnl
Personalize to generalize: Towards a universal medical multi-modality generalization through personalization.
CoRR
Zhaorui Tan, Xi Yang, Tan Pan, Tianyi Liu, Chen Jiang, Xin Guo, Qiufeng Wang, Anh Nguyen, Yuan Qi, Kaizhu Huang, Yuan Cheng
2024 J jnl
Perturbation diversity certificates robust generalization.
Neural Networks
Zhuang Qian, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Xinping Yi, Bin Gu, Huan Xiong
2024 J jnl
PointNu-Net: Keypoint-Assisted Convolutional Neural Network for Simultaneous Multi-Tissue Histology Nuclei Segmentation and Classification.
IEEE Trans. Emerg. Top. Comput. Intell.
Kai Yao, Kaizhu Huang, Jie Sun, Amir Hussain
2024 J jnl
Rethinking Information Loss in Medical Image Segmentation with Various-sized Targets.
CoRR
Tianyi Liu, Zhaorui Tan, Kaizhu Huang, Haochuan Jiang
2024 A* conf
Rethinking Multi-Domain Generalization with A General Learning Objective.
CVPR
Zhaorui Tan, Xi Yang, Kaizhu Huang
2024 J jnl
Rethinking Multi-domain Generalization with A General Learning Objective.
CoRR
Zhaorui Tan, Xi Yang, Kaizhu Huang
2024 J jnl
Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering.
CoRR
Jingwei Guo, Kaizhu Huang, Xinping Yi, Zixian Su, Rui Zhang
2024 J jnl
Revisiting Mutual Information Maximization for Generalized Category Discovery.
CoRR
Zhaorui Tan, Chengrui Zhang, Xi Yang, Jie Sun, Kaizhu Huang
2024 J jnl
SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation.
CoRR
Kai Yao, Zhaorui Tan, Zixian Su, Xi Yang, Jie Sun, Kaizhu Huang
2024 J jnl
SaliencyCut: Augmenting plausible anomalies for anomaly detection.
Pattern Recognit.
Jianan Ye, Yijie Hu, Xi Yang, Qiu-Feng Wang, Chao Huang, Kaizhu Huang
2024 J jnl
Scene Text Recognition via Dual-path Network with Shape-driven Attention Alignment.
ACM Trans. Multim. Comput. Commun. Appl.
Yijie Hu, Bin Dong, Kaizhu Huang, Lei Ding, Wei Wang, Xiaowei Huang, Qiu-Feng Wang
2024 A* conf
Semantic-Aware Data Augmentation for Text-to-Image Synthesis.
AAAI
Zhaorui Tan, Xi Yang, Kaizhu Huang
2024 J jnl
Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation.
CoRR
Xiaoqiang Kang, Zimu Wang, Xiaobo Jin, Wei Wang, Kaizhu Huang, Qiufeng Wang
2024 J jnl
Towards Cross-device and Training-free Robotic Grasping in 3D Open World.
CoRR
Weiguang Zhao, Chenru Jiang, Chengrui Zhang, Jie Sun, Yuyao Yan, Rui Zhang, Kaizhu Huang
2024 A* conf
Unraveling Batch Normalization for Realistic Test-Time Adaptation.
AAAI
Zixian Su, Jingwei Guo, Kai Yao, Xi Yang, Qiufeng Wang, Kaizhu Huang
2024 J jnl
W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks.
CoRR
Haochuan Jiang, Guanyu Yang, Kaizhu Huang, Rui Zhang
2024 J jnl
Zero-shot text classification with knowledge resources under label-fully-unseen setting.
Neurocomputing
Yuqi Wang, Wei Wang, Qi Chen, Kaizhu Huang, Anh Nguyen, Suparna De
2023 J jnl
A Symbolic Character-Aware Model for Solving Geometry Problems.
CoRR
Maizhen Ning, Qiu-Feng Wang, Kaizhu Huang, Xiaowei Huang
2023 A* conf
A Symbolic Characters Aware Model for Solving Geometry Problems.
ACM Multimedia
Maizhen Ning, Qiu-Feng Wang, Kaizhu Huang, Xiaowei Huang
2023 J jnl
Aggregated pyramid gating network for human pose estimation without pre-training.
Pattern Recognit.
Chenru Jiang, Kaizhu Huang, Shufei Zhang, Xinheng Wang, Jimin Xiao, Yannis Goulermas
2023 J jnl
Can Perturbations Help Reduce Investment Risks? Risk-Aware Stock Recommendation via Split Variational Adversarial Training.
CoRR
Jiezhu Cheng, Kaizhu Huang, Zibin Zheng
2023 — conf
Cipher-Prompt: Towards a Safe Diffusion Model via Learning Cryptographic Prompts.
BICS
Sidong Jiang, Siyuan Wang, Rui Zhang, Xi Yang, Kaizhu Huang
2023 A* conf
Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network.
ICDM
Yiming Lin, Xiao-Bo Jin, Qiufeng Wang, Kaizhu Huang
2023 J jnl
Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network.
CoRR
Yiming Lin, Xiao-Bo Jin, Qiufeng Wang, Kaizhu Huang
2023 — conf
Decoupled Learning for Long-Tailed Oracle Character Recognition.
ICDAR (4)
Jing Li, Bin Dong, Qiu-Feng Wang, Lei Ding, Rui Zhang, Kaizhu Huang
2023 J jnl
Deep learning for brain age estimation: A systematic review.
Inf. Fusion
Muhammad Tanveer, M. A. Ganaie, Iman Beheshti, Tripti Goel, Nehal Ahmad, Kuan-Ting Lai, Kaizhu Huang, Yu-Dong Zhang, Javier Del Ser, Chin-Teng Lin
2023 J jnl
Diff-OP3D: Bridging 2D Diffusion for Open Pose 3D Zero-Shot Classification.
CoRR
Weiguang Zhao, Guanyu Yang, Chaolong Yang, Chenru Jiang, Yuyao Yan, Rui Zhang, Kaizhu Huang
2023 J jnl
Diff-Oracle: Diffusion Model for Oracle Character Generation with Controllable Styles and Contents.
CoRR
Jing Li, Qiu-Feng Wang, Kaizhu Huang, Rui Zhang, Siyuan Wang
2023 A* conf
Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization.
ICCV
Weiguang Zhao, Yuyao Yan, Chaolong Yang, Jianan Ye, Xi Yang, Kaizhu Huang
2023 J jnl
Explainable Tensorized Neural Ordinary Differential Equations for Arbitrary-Step Time Series Prediction.
IEEE Trans. Knowl. Data Eng.
Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang, John Yannis Goulermas
2023 A conf
Explore Epistemic Uncertainty in Domain Adaptive Semantic Segmentation.
CIKM
Kai Yao, Zixian Su, Xi Yang, Jie Sun, Kaizhu Huang
2023 J jnl
FastAdaBelief: Improving Convergence Rate for Belief-Based Adaptive Optimizers by Exploiting Strong Convexity.
IEEE Trans. Neural Networks Learn. Syst.
Yangfan Zhou, Kaizhu Huang, Cheng Cheng, Xuguang Wang, Amir Hussain, Xin Liu
2023 J jnl
Fitting Imbalanced Uncertainties in Multi-output Time Series Forecasting.
ACM Trans. Knowl. Discov. Data
Jiezhu Cheng, Kaizhu Huang, Zibin Zheng
2023 J jnl
Fusing external knowledge resources for natural language understanding techniques: A survey.
Inf. Fusion
Yuqi Wang, Wei Wang, Qi Chen, Kaizhu Huang, Anh Nguyen, Suparna De, Amir Hussain
2023 J jnl
GSL-VO: A Geometric-Semantic Information Enhanced Lightweight Visual Odometry in Dynamic Environments.
IEEE Trans. Instrum. Meas.
Wenhui Wei, Kaizhu Huang, Xin Liu, Yangfan Zhou
2023 — conf
Generalized W-Net: Arbitrary-Style Chinese Character Synthesization.
BICS
Haochuan Jiang, Guanyu Yang, Fei Cheng, Kaizhu Huang
2023 J jnl
Generalized image outpainting with U-transformer.
Neural Networks
Penglei Gao, Xi Yang, Rui Zhang, John Yannis Goulermas, Yujie Geng, Yuyao Yan, Kaizhu Huang
2023 A* conf
Graph Neural Networks with Diverse Spectral Filtering.
WWW
Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang
2023 J jnl
Graph Neural Networks with Diverse Spectral Filtering.
CoRR
Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang
2023 — conf
Improving Handwritten Mathematical Expression Recognition via an Attention Refinement Network.
ICONIP (13)
Jiayi Liu, Qiufeng Wang, Wei Liao, Jianghan Chen, Kaizhu Huang
2023 — conf
Learning by Analogy: Diverse Questions Generation in Math Word Problem.
ACL (Findings)
Zihao Zhou, Maizhen Ning, Qiufeng Wang, Jie Yao, Wei Wang, Xiaowei Huang, Kaizhu Huang
2023 J jnl
Learning by Analogy: Diverse Questions Generation in Math Word Problem.
CoRR
Zihao Zhou, Maizhen Ning, Qiufeng Wang, Jie Yao, Wei Wang, Xiaowei Huang, Kaizhu Huang
2023 J jnl
MathAttack: Attacking Large Language Models Towards Math Solving Ability.
CoRR
Zihao Zhou, Qiufeng Wang, Mingyu Jin, Jie Yao, Jianan Ye, Wei Liu, Wei Wang, Xiaowei Huang, Kaizhu Huang
2023 J jnl
Mind the Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation.
IEEE J. Biomed. Health Informatics
Zixian Su, Kai Yao, Xi Yang, Qiufeng Wang, Yuyao Yan, Jie Sun, Kaizhu Huang
2023 J jnl
Minimum Power Adversarial Attacks in Communication Signal Modulation Classification with Deep Learning.
Cogn. Comput.
Da Ke, Xiang Wang, Kaizhu Huang, Haoyuan Wang, Zhitao Huang
2023 — conf
Multi-agent Reinforcement Learning Based Collaborative Multi-task Scheduling for Vehicular Edge Computing.
CollaborateCom (3)
Peisong Li, Ziren Xiao, Xinheng Wang, Kaizhu Huang, Yi Huang, Andrei Tchernykh
2023 J jnl
Multi-semantic hypergraph neural network for effective few-shot learning.
Pattern Recognit.
Hao Chen, Linyan Li, Fuyuan Hu, Fan Lyu, Liuqing Zhao, Kaizhu Huang, Wei Feng, Zhenping Xia
2023 — conf
PAG: Protecting Artworks from Personalizing Image Generative Models.
ICONIP (4)
Zhaorui Tan, Siyuan Wang, Xi Yang, Kaizhu Huang
2023 J jnl
PointGS: Bridging and fusing geometric and semantic space for 3D point cloud analysis.
Inf. Fusion
Chenru Jiang, Kaizhu Huang, Junwei Wu, Xinheng Wang, Jimin Xiao, Amir Hussain
2023 J jnl
Polar-Doc: One-Stage Document Dewarping with Multi-Scope Constraints under Polar Representation.
CoRR
Weiguang Zhang, Qiufeng Wang, Kaizhu Huang
2023 — conf
Progressive Supervision for Tampering Localization in Document Images.
ICONIP (15)
Huiru Shao, Kaizhu Huang, Wei Wang, Xiaowei Huang, Qiufeng Wang
2023 — conf
Prompt-based Zero-shot Text Classification with Conceptual Knowledge.
ACL (student)
Yuqi Wang, Wei Wang, Qi Chen, Kaizhu Huang, Anh Nguyen, Suparna De
2023 J jnl
Randomized block-coordinate adaptive algorithms for nonconvex optimization problems.
Eng. Appl. Artif. Intell.
Yangfan Zhou, Kaizhu Huang, Jiang Li, Cheng Cheng, Xuguang Wang, Amir Hussain, Xin Liu
2023 J jnl
Rebalanced Zero-Shot Learning.
IEEE Trans. Image Process.
Zihan Ye, Guanyu Yang, Xiaobo Jin, Youfa Liu, Kaizhu Huang
2023 A* conf
Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation.
AAAI
Zixian Su, Kai Yao, Xi Yang, Kaizhu Huang, Qiufeng Wang, Jie Sun
2023 J jnl
Retrieval-based language model adaptation for handwritten Chinese text recognition.
Int. J. Document Anal. Recognit.
Shuying Hu, Qiufeng Wang, Kaizhu Huang, Min Wen, Frans Coenen
2023 J jnl
Robust generative adversarial network.
Mach. Learn.
Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Jimin Xiao, Yuan He, Canyi Lu
2023 J jnl
SaliencyCut: Augmenting Plausible Anomalies for Open-set Fine-Grained Anomaly Detection.
CoRR
Jianan Ye, Yijie Hu, Xi Yang, Qiu-Feng Wang, Chao Huang, Kaizhu Huang
2023 J jnl
Self-supervised generative learning for sequential data prediction.
Appl. Intell.
Ke Xu, Guoqiang Zhong, Zhaoyang Deng, Kang Zhang, Kaizhu Huang
2023 J jnl
Semantic Similarity Distance: Towards better text-image consistency metric in text-to-image generation.
Pattern Recognit.
Zhaorui Tan, Xi Yang, Zihan Ye, Qiufeng Wang, Yuyao Yan, Anh Nguyen, Kaizhu Huang
2023 J jnl
Semantic-aware Data Augmentation for Text-to-image Synthesis.
CoRR
Zhaorui Tan, Xi Yang, Kaizhu Huang
2023 J jnl
ShanshuiDaDA: An Interactive, Generative System towards Chinese Shanshui Painting.
CoRR
Aven Le Zhou, Qiufeng Wang, Cheng-Hung Lo, Kaizhu Huang
2023 A conf
Structure First Detail Next: Image Inpainting with Pyramid Generator.
ICME
Shuyi Qu, Zhenxing Niu, Jianke Zhu, Bin Dong, Kaizhu Huang
2023 A* conf
Towards Better Robustness against Common Corruptions for Unsupervised Domain Adaptation.
ICCV
Zhiqiang Gao, Kaizhu Huang, Rui Zhang, Dawei Liu, Jieming Ma
2023 — conf
Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation.
ICONIP (15)
Chaolong Yang, Yuyao Yan, Weiguang Zhao, Jianan Ye, Xi Yang, Amir Hussain, Bin Dong, Kaizhu Huang
2023 J jnl
Towards Faster Training Algorithms Exploiting Bandit Sampling From Convex to Strongly Convex Conditions.
IEEE Trans. Emerg. Top. Comput. Intell.
Yangfan Zhou, Kaizhu Huang, Cheng Cheng, Xuguang Wang, Amir Hussain, Xin Liu
2023 J jnl
Towards Simple and Accurate Human Pose Estimation With Stair Network.
IEEE Trans. Emerg. Top. Comput. Intell.
Chenru Jiang, Kaizhu Huang, Shufei Zhang, Xinheng Wang, Jimin Xiao, Zhenxing Niu, Amir Hussain
2023 J jnl
Towards better long-tailed oracle character recognition with adversarial data augmentation.
Pattern Recognit.
Jing Li, Qiu-Feng Wang, Kaizhu Huang, Xi Yang, Rui Zhang, John Yannis Goulermas
2023 J jnl
Unraveling Batch Normalization for Realistic Test-Time Adaptation.
CoRR
Zixian Su, Jingwei Guo, Kai Yao, Xi Yang, Qiufeng Wang, Kaizhu Huang
2023 — conf
Visual-Textual Attention for Tree-Based Handwritten Mathematical Expression Recognition.
BICS
Wei Liao, Jiayi Liu, Jianghan Chen, Qiu-Feng Wang, Kaizhu Huang
2023 J jnl
Zero-Shot Medical Information Retrieval via Knowledge Graph Embedding.
CoRR
Yuqi Wang, Zeqiang Wang, Wei Wang, Qi Chen, Kaizhu Huang, Anh Nguyen, Suparna De
2022 J jnl
A Novel 3D Unsupervised Domain Adaptation Framework for Cross-Modality Medical Image Segmentation.
IEEE J. Biomed. Health Informatics
Kai Yao, Zixian Su, Kaizhu Huang, Xi Yang, Jie Sun, Amir Hussain, Frans Coenen
2022 J jnl
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies.
CoRR
Zhuang Qian, Kaizhu Huang, Qiu-Feng Wang, Xu-Yao Zhang
2022 J jnl
A survey of robust adversarial training in pattern recognition: Fundamental, theory, and methodologies.
Pattern Recognit.
Zhuang Qian, Kaizhu Huang, Qiu-Feng Wang, Xu-Yao Zhang
2022 A* conf
Certifying Better Robust Generalization for Unsupervised Domain Adaptation.
ACM Multimedia
Zhiqiang Gao, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Chaoliang Zhong
2022 J jnl
Deep Learning for Brain Age Estimation: A Systematic Review.
CoRR
Muhammad Tanveer, M. A. Ganaie, Iman Beheshti, Tripti Goel, Nehal Ahmad, Kuan-Ting Lai, Kaizhu Huang, Yu-Dong Zhang, Javier Del Ser, Chin-Teng Lin
2022 J jnl
Disentangling Semantic-to-Visual Confusion for Zero-Shot Learning.
IEEE Trans. Multim.
Zihan Ye, Fuyuan Hu, Fan Lyu, Linyan Li, Kaizhu Huang
2022 J jnl
Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization.
CoRR
Weiguang Zhao, Yuyao Yan, Chaolong Yang, Jianan Ye, Xi Yang, Kaizhu Huang
2022 J jnl
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting.
CoRR
Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang
2022 J jnl
Efficient link prediction model for real-world complex networks using matrix-forest metric with local similarity features.
J. Complex Networks
Haji Gul, Feras N. Al-Obeidat, Adnan Amin, Muhammad Tahir, Kaizhu Huang
2022 J jnl
EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous Variables.
CoRR
Penglei Gao, Xi Yang, Kaizhu Huang, Rui Zhang, Ping Guo, John Yannis Goulermas
2022 J jnl
End-to-end weakly supervised semantic segmentation with reliable region mining.
Pattern Recognit.
Bingfeng Zhang, Jimin Xiao, Yunchao Wei, Kaizhu Huang, Shan Luo, Yao Zhao
2022 J jnl
Exploiting Attention-Consistency Loss For Spatial-Temporal Stream Action Recognition.
ACM Trans. Multim. Comput. Commun. Appl.
Haotian Xu, Xiaobo Jin, Qiufeng Wang, Amir Hussain, Kaizhu Huang
2022 J jnl
From 2D Images to 3D Model: Weakly Supervised Multi-View Face Reconstruction with Deep Fusion.
CoRR
Weiguang Zhao, Chaolong Yang, Jianan Ye, Yuyao Yan, Xi Yang, Kaizhu Huang
2022 J jnl
Generalised Image Outpainting with U-Transformer.
CoRR
Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang, Yujie Geng
2022 B conf
Generalised Zero-shot Learning for Entailment-based Text Classification with External Knowledge.
SMARTCOMP
Yuqi Wang, Wei Wang, Qi Chen, Kaizhu Huang, Anh Nguyen, Suparna De
2022 J jnl
Granular Computing and Three-way Decisions for Cognitive Analytics.
Cogn. Comput.
JingTao Yao, Yiyu Yao, Davide Ciucci, Kaizhu Huang
2022 — conf
Harnessing Multi-Semantic Hypergraph for Few-Shot Learning.
PRCV (1)
Hao Chen, Linyan Li, Zhenping Xia, Fan Lyu, Liuqing Zhao, Kaizhu Huang, Wei Feng, Fuyuan Hu
2022 J jnl
LightAdam: Towards a Fast and Accurate Adaptive Momentum Online Algorithm.
Cogn. Comput.
Yangfan Zhou, Kaizhu Huang, Cheng Cheng, Xuguang Wang, Xin Liu
2022 J jnl
Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation.
CoRR
Zixian Su, Kai Yao, Xi Yang, Qiufeng Wang, Yuyao Yan, Kaizhu Huang
2022 J jnl
Multi-Model Running Latency Optimization in an Edge Computing Paradigm.
Sensors
Peisong Li, Xinheng Wang, Kaizhu Huang, Yi Huang, Shancang Li, Muddesar Iqbal
2022 J jnl
Music-CRN: an Efficient Content-Based Music Classification and Recommendation Network.
Cogn. Comput.
Yuxu Mao, Guoqiang Zhong, Haizhen Wang, Kaizhu Huang
2022 — conf
Outpainting by Queries.
ECCV (23)
Kai Yao, Penglei Gao, Xi Yang, Jie Sun, Rui Zhang, Kaizhu Huang
2022 J jnl
Outpainting by Queries.
CoRR
Kai Yao, Penglei Gao, Xi Yang, Kaizhu Huang, Jie Sun, Rui Zhang
2022 J jnl
Re-thinking model robustness from stability: a new insight to defend adversarial examples.
Mach. Learn.
Shufei Zhang, Kaizhu Huang, Zenglin Xu
2022 J jnl
Rebalanced Zero-shot Learning.
CoRR
Zihan Ye, Guanyu Yang, Xiaobo Jin, Youfa Liu, Kaizhu Huang
2022 J jnl
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation.
CoRR
Zixian Su, Kai Yao, Xi Yang, Qiufeng Wang, Jie Sun, Kaizhu Huang
2022 — conf
Rethinking Image Inpainting with Attention Feature Fusion.
ICONIP (3)
Shuyi Qu, Kaizhu Huang, Qiufeng Wang, Bin Dong
2022 J jnl
Robustness of Deep Learning-Based Specific Emitter Identification under Adversarial Attacks.
Remote. Sens.
Liting Sun, Da Ke, Xiang Wang, Zhitao Huang, Kaizhu Huang
2022 J jnl
Sparse matrix factorization with L2, 1 norm for matrix completion.
Pattern Recognit.
Xiaobo Jin, Jianyu Miao, Qiufeng Wang, Guanggang Geng, Kaizhu Huang
2022 — conf
Towards Accurate Alignment and Sufficient Context in Scene Text Recognition.
ICONIP (3)
Yijie Hu, Bin Dong, Qiufeng Wang, Lei Ding, Xiaobo Jin, Kaizhu Huang
2022 J jnl
Towards Better Text-Image Consistency in Text-to-Image Generation.
CoRR
Zhaorui Tan, Zihan Ye, Xi Yang, Qiufeng Wang, Yuyao Yan, Kaizhu Huang
2022 J jnl
Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation.
CoRR
Chaolong Yang, Yuyao Yan, Weiguang Zhao, Jianan Ye, Xi Yang, Amir Hussain, Kaizhu Huang
2022 J jnl
Towards Simple and Accurate Human Pose Estimation with Stair Network.
CoRR
Chenru Jiang, Kaizhu Huang, Shufei Zhang, Xinheng Wang, Jimin Xiao, Zhenxing Niu, Amir Hussain
2022 J jnl
Unsupervised domain adaptation in homogeneous distance space for person re-identification.
Pattern Recognit.
Dingyuan Zheng, Jimin Xiao, Yunchao Wei, Qiufeng Wang, Kaizhu Huang, Yao Zhao
2022 J jnl
Zero-Shot Text Classification via Knowledge Graph Embedding for Social Media Data.
IEEE Internet Things J.
Qi Chen, Wei Wang, Kaizhu Huang, Frans Coenen
2021 J jnl
A Multipath Fusion Strategy Based Single Shot Detector.
Sensors
Shuyi Qu, Kaizhu Huang, Amir Hussain, Yannis Goulermas
2021 — conf
A Segment-Based Layout Aware Model for Information Extraction on Document Images.
ICONIP (5)
Maizhen Ning, Qiu-Feng Wang, Kaizhu Huang, Xiaowei Huang
2021 J jnl
A Systematic Analysis of Link Prediction in Complex Network.
IEEE Access
Haji Gul, Adnan Amin, Awais Adnan, Kaizhu Huang
2021 J jnl
AD-GAN: End-to-end Unsupervised Nuclei Segmentation with Aligned Disentangling Training.
CoRR
Kai Yao, Kaizhu Huang, Jie Sun, Curran Jude
2021 J jnl
Artificial Intelligence in Collaborative Computing.
Mob. Networks Appl.
Xinheng Wang, Honghao Gao, Kaizhu Huang
2021 J jnl
Attention-Augmented Machine Memory.
Cogn. Comput.
Xin Lin, Guoqiang Zhong, Kang Chen, Qingyang Li, Kaizhu Huang
2021 J jnl
Automated Social Text Annotation With Joint Multilabel Attention Networks.
IEEE Trans. Neural Networks Learn. Syst.
Hang Dong, Wei Wang, Kaizhu Huang, Frans Coenen
2021 J jnl
Coarse-grained generalized zero-shot learning with efficient self-focus mechanism.
Neurocomputing
Guanyu Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain
2021 J jnl
Disentangling Semantic-to-visual Confusion for Zero-shot Learning.
CoRR
Zihan Ye, Fuyuan Hu, Fan Lyu, Linyan Li, Kaizhu Huang
2021 J jnl
Domain adaptation with feature and label adversarial networks.
Neurocomputing
Peng Zhao, Wenhua Zang, Bin Liu, Zhao Kang, Kun Bai, Kaizhu Huang, Zenglin Xu
2021 A conf
Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing.
BMVC
Liuqing Zhao, Fan Lyu, Fuyuan Hu, Kaizhu Huang, Fenglei Xu, Linyan Li
2021 J jnl
Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing.
CoRR
Liuqing Zhao, Fan Lyu, Fuyuan Hu, Kaizhu Huang, Fenglei Xu, Linyan Li
2021 J jnl
FastAdaBelief: Improving Convergence Rate for Belief-based Adaptive Optimizer by Strong Convexity.
CoRR
Yangfan Zhou, Kaizhu Huang, Cheng Cheng, Xuguang Wang, Xin Liu
2021 A* conf
Global-aware Beam Search for Neural Abstractive Summarization.
NeurIPS
Ye Ma, Zixun Lan, Lu Zong, Kaizhu Huang
2021 A* conf
Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation.
ICCV
Zhiqiang Gao, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Chaoliang Zhong
2021 J jnl
Improving Model Robustness with Latent Distribution Locally and Globally.
CoRR
Zhuang Qian, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi
2021 J jnl
Improving generative adversarial networks with simple latent distributions.
Neural Comput. Appl.
Shufei Zhang, Kaizhu Huang, Zhuang Qian, Rui Zhang, Amir Hussain
2021 J jnl
LGD-GCN: Local and Global Disentangled Graph Convolutional Networks.
CoRR
Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang
2021 J jnl
Manifold adversarial training for supervised and semi-supervised learning.
Neural Networks
Shufei Zhang, Kaizhu Huang, Jianke Zhu, Yang Liu
2021 — conf
Mix-Up Augmentation for Oracle Character Recognition with Imbalanced Data Distribution.
ICDAR (1)
Jing Li, Qiu-Feng Wang, Rui Zhang, Kaizhu Huang
2021 J jnl
Multi-modal generative adversarial networks for traffic event detection in smart cities.
Expert Syst. Appl.
Qi Chen, Wei Wang, Kaizhu Huang, Suparna De, Frans Coenen
2021 J jnl
Novel Artificial Immune Networks-based optimization of shallow machine learning (ML) classifiers.
Expert Syst. Appl.
Summrina Kanwal, Amir Hussain, Kaizhu Huang
2021 J jnl
Partial Differential Equations is All You Need for Generating Neural Architectures - A Theory for Physical Artificial Intelligence Systems.
CoRR
Ping Guo, Kaizhu Huang, Zenglin Xu
2021 J jnl
PointNu-Net: Simultaneous Multi-tissue Histology Nuclei Segmentation and Classification in the Clinical Wild.
CoRR
Kai Yao, Kaizhu Huang, Jie Sun, Amir Hussain, Curran Jude
2021 J jnl
Reborn Mechanism: Rethinking the Negative Phase Information Flow in Convolutional Neural Network.
CoRR
Zhicheng Cai, Kaizhu Huang, Chenglei Peng
2021 J jnl
Residual attention-based multi-scale script identification in scene text images.
Neurocomputing
Mengkai Ma, Qiu-Feng Wang, Shan Huang, Shen Huang, Yannis Goulermas, Kaizhu Huang
2021 J jnl
Scaffold-A549: A Benchmark 3D Fluorescence Image Dataset for Unsupervised Nuclei Segmentation.
Cogn. Comput.
Kai Yao, Kaizhu Huang, Jie Sun, Linzhi Jing, Dejian Huang, Curran Jude
2021 J jnl
State Primitive Learning to Overcome Catastrophic Forgetting in Robotics.
Cogn. Comput.
Fangzhou Xiong, Zhi-Yong Liu, Kaizhu Huang, Xu Yang, Hong Qiao
2021 J jnl
Structure First Detail Next: Image Inpainting with Pyramid Generator.
CoRR
Shuyi Qu, Zhenxing Niu, Kaizhu Huang, Jianke Zhu, Matan Protter, Gadi Zimerman, Yinghui Xu
2021 J jnl
Style-Neutralized Pattern Classification Based on Adversarially Trained Upgraded U-Net.
Cogn. Comput.
Haochuan Jiang, Kaizhu Huang, Rui Zhang, Amir Hussain
2021 A* conf
Towards Better Robust Generalization with Shift Consistency Regularization.
ICML
Shufei Zhang, Zhuang Qian, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi
2020 — conf
A Covert Ultrasonic Phone-to-Phone Communication Scheme.
CollaborateCom (1)
Liming Shi, Limin Yu, Kaizhu Huang, Xu Zhu, Zhi Wang, Xiaofei Li, Wenwu Wang, Xinheng Wang
2020 — ed.
Advances in Brain Inspired Cognitive Systems - 10th International Conference, BICS 2019, Guangzhou, China, July 13-14, 2019, Proceedings
BICS
Jinchang Ren, Amir Hussain, Huimin Zhao, Kaizhu Huang, Jiangbin Zheng, Jun Cai, Rongjun Chen, Yinyin Xiao
2020 — conf
Adversarial Domain Adaptation for Crisis Data Classification on Social Media.
iThings/GreenCom/CPSCom/SmartData/Cybermatics
Qi Chen, Wei Wang, Kaizhu Huang, Suparna De, Frans Coenen
2020 — conf
Adversarial Rectification Network for Scene Text Regularization.
ICONIP (2)
Jing Li, Qiu-Feng Wang, Rui Zhang, Kaizhu Huang
2020 J jnl
Automatic Design of Deep Networks with Neural Blocks.
Cogn. Comput.
Guoqiang Zhong, Wencong Jiao, Wei Gao, Kaizhu Huang
2020 — conf
CDMC'19 - The 10th International Cybersecurity Data Mining Competition.
ICONIP (2)
Shaoning Pang, Tao Ban, Youki Kadobayashi, Jungsuk Song, Kaizhu Huang, Geongsen Poh, Iqbal Gondal, Kitsuchart Pasupa, Fadi A. Aloul
2020 J jnl
Compressing Deep Networks by Neuron Agglomerative Clustering.
Sensors
Li-Na Wang, Wenxue Liu, Xiang Liu, Guoqiang Zhong, Partha Pratim Roy, Junyu Dong, Kaizhu Huang
2020 J jnl
Correlation Filter Selection for Visual Tracking Using Reinforcement Learning.
IEEE Trans. Circuits Syst. Video Technol.
Yanchun Xie, Jimin Xiao, Kaizhu Huang, Jeyarajan Thiyagalingam, Yao Zhao
2020 J jnl
Editorial: Collaborative Computing for Data-Driven Systems.
Mob. Networks Appl.
Xinheng Wang, Muddesar Iqbal, Honghao Gao, Kaizhu Huang, Andrei Tchernykh
2020 J jnl
Encoding primitives generation policy learning for robotic arm to overcome catastrophic forgetting in sequential multi-tasks learning.
Neural Networks
Fangzhou Xiong, Zhiyong Liu, Kaizhu Huang, Xu Yang, Hong Qiao, Amir Hussain
2020 J jnl
Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction.
CoRR
Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang
2020 — conf
Feature Redirection Network for Few-Shot Classification.
ICONIP (4)
Yanan Wang, Guoqiang Zhong, Yuxu Mao, Kaizhu Huang
2020 — conf
Feature Representation Matters: End-to-End Learning for Reference-Based Image Super-Resolution.
ECCV (4)
Yanchun Xie, Jimin Xiao, Mingjie Sun, Chao Yao, Kaizhu Huang
2020 J jnl
Generative adversarial classifier for handwriting characters super-resolution.
Pattern Recognit.
Zhuang Qian, Kaizhu Huang, Qiu-Feng Wang, Jimin Xiao, Rui Zhang
2020 J jnl
Generative adversarial networks with decoder-encoder output noises.
Neural Networks
Guoqiang Zhong, Wei Gao, Yongbin Liu, Youzhao Yang, Da-Han Wang, Kaizhu Huang
2020 J jnl
Generative adversarial networks with mixture of t-distributions noise for diverse image generation.
Neural Networks
Jinxuan Sun, Guoqiang Zhong, Yang Chen, Yongbin Liu, Tao Li, Kaizhu Huang
2020 J jnl
Hybrid channel based pedestrian detection.
Neurocomputing
Fiseha B. Tesema, Hong Wu, Mingjian Chen, Junpeng Lin, William Zhu, Kaizhu Huang
2020 J jnl
Improving deep neural network performance by integrating kernelized Min-Max objective.
Neurocomputing
Qiu-Feng Wang, Kai Yao, Rui Zhang, Amir Hussain, Kaizhu Huang
2020 — conf
Inductive Generalized Zero-Shot Learning with Adversarial Relation Network.
ECML/PKDD (2)
Guanyu Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain
2020 J jnl
Knowledge base enrichment by relation learning from social tagging data.
Inf. Sci.
Hang Dong, Wei Wang, Frans Coenen, Kaizhu Huang
2020 — conf
MCRN: A New Content-Based Music Classification and Recommendation Network.
ICONIP (4)
Yuxu Mao, Guoqiang Zhong, Haizhen Wang, Kaizhu Huang
2020 C conf
Maximum Power Point Tracking of Photovoltaic Systems Using Deep Q-networks.
INDIN
Kangshi Wang, Dou Hong, Jieming Ma, Ka Lok Man, Kaizhu Huang, Xiaowei Huang
2020 B conf
Multi-modal Adversarial Training for Crisis-related Data Classification on Social Media.
SMARTCOMP
Qi Chen, Wei Wang, Kaizhu Huang, Suparna De, Frans Coenen
2020 — conf
Multi-scale Attention Consistency for Multi-label Image Classification.
ICONIP (4)
Haotian Xu, Xiaobo Jin, Qiufeng Wang, Kaizhu Huang
2020 J jnl
Neural CAPTCHA networks.
Appl. Soft Comput.
Ying Ma, Guoqiang Zhong, Wen Liu, Jinxuan Sun, Kaizhu Huang
2020 J jnl
Novel deep neural network based pattern field classification architectures.
Neural Networks
Kaizhu Huang, Shufei Zhang, Rui Zhang, Amir Hussain
2020 A* conf
Pay Attention Selectively and Comprehensively: Pyramid Gating Network for Human Pose Estimation without Pre-training.
ACM Multimedia
Chenru Jiang, Kaizhu Huang, Shufei Zhang, Xinheng Wang, Jimin Xiao
2020 A* conf
Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach.
AAAI
Bingfeng Zhang, Jimin Xiao, Yunchao Wei, Mingjie Sun, Kaizhu Huang
2020 J jnl
Robust Generative Adversarial Network.
CoRR
Shufei Zhang, Zhuang Qian, Kaizhu Huang, Jimin Xiao, Yuan He
2020 J jnl
Segmentation mask guided end-to-end person search.
Signal Process. Image Commun.
Dingyuan Zheng, Jimin Xiao, Kaizhu Huang, Yao Zhao
2020 A* conf
Towards Better Forecasting by Fusing Near and Distant Future Visions.
AAAI
Jiezhu Cheng, Kaizhu Huang, Zibin Zheng
2020 J jnl
Triple loss for hard face detection.
Neurocomputing
Zhenyu Fang, Jinchang Ren, Stephen Marshall, Huimin Zhao, Zheng Wang, Kaizhu Huang, Bing Xiao
2019 J jnl
A Novel Deep Density Model for Unsupervised Learning.
Cogn. Comput.
Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas
2019 — conf
Action Recognition in Videos with Temporal Segments Fusions.
BICS
Yuanye Fang, Rui Zhang, Qiu-Feng Wang, Kaizhu Huang
2019 A conf
An Interactive and Generative Approach for Chinese Shanshui Painting Document.
ICDAR
Le Zhou, Qiu-Feng Wang, Kaizhu Huang, Cheng-Hung Lo
2019 — conf
Beyond Attributes: High-Order Attribute Features for Zero-Shot Learning.
ICCV Workshops
Xiao-Bo Jin, Guo-Sen Xie, Kaizhu Huang, Jianyu Miao, Qiufeng Wang
2019 J jnl
Context-Aware Human Activity and Smartphone Position-Mining with Motion Sensors.
Remote. Sens.
Zhiqiang Gao, Dawei Liu, Kaizhu Huang, Yi Huang
2019 J jnl
Cross-modality interactive attention network for multispectral pedestrian detection.
Inf. Fusion
Lu Zhang, Zhiyong Liu, Shifeng Zhang, Xu Yang, Hong Qiao, Kaizhu Huang, Amir Hussain
2019 — conf
Deep Minimax Probability Machine.
ICDM Workshops
Lirong He, Ziyi Guo, Kaizhu Huang, Zenglin Xu
2019 J jnl
Deep Minimax Probability Machine.
CoRR
Lirong He, Ziyi Guo, Kaizhu Huang, Zenglin Xu
2019 J jnl
Discriminant Zero-Shot Learning with Center Loss.
Cogn. Comput.
Xiao-Bo Jin, Guo-Sen Xie, Kaizhu Huang, Heling Cao, Qiu-Feng Wang
2019 — conf
Enhanced LSTM with Batch Normalization.
ICONIP (1)
Li-Na Wang, Guoqiang Zhong, Shoujun Yan, Junyu Dong, Kaizhu Huang
2019 — conf
Fine-Grained Image Classification with Object-Part Model.
BICS
Jinlong Hong, Kaizhu Huang, Hai-Ning Liang, Xinheng Wang, Rui Zhang
2019 A* conf
Generalized Adversarial Training in Riemannian Space.
ICDM
Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain
2019 J jnl
Generative Adversarial Classifier for Handwriting Characters Super-Resolution.
CoRR
Zhuang Qian, Kaizhu Huang, Qiufeng Wang, Jimin Xiao, Rui Zhang
2019 J jnl
Guided Policy Search for Sequential Multitask Learning.
IEEE Trans. Syst. Man Cybern. Syst.
Fangzhou Xiong, Biao Sun, Xu Yang, Hong Qiao, Kaizhu Huang, Amir Hussain, Zhi-Yong Liu
2019 J jnl
Hybrid Channel Based Pedestrian Detection.
CoRR
Fiseha B. Tesema, Hong Wu, Mingjian Chen, Junpeng Lin, William Zhu, Kaizhu Huang
2019 J jnl
IAN: The Individual Aggregation Network for Person Search.
Pattern Recognit.
Jimin Xiao, Yanchun Xie, Tammam Tillo, Kaizhu Huang, Yunchao Wei, Jiashi Feng
2019 — conf
Improving Disentanglement-Based Image-to-Image Translation with Feature Joint Block Fusion.
BICS
Zhejian Zhang, Rui Zhang, Qiu-Feng Wang, Kaizhu Huang
2019 — conf
Improving Image Caption Performance with Linguistic Context.
BICS
Yupeng Cao, Qiu-Feng Wang, Kaizhu Huang, Rui Zhang
2019 J jnl
Improving Script Identification by Integrating Text Recognition Information.
Aust. J. Intell. Inf. Process. Syst.
Yupeng Cao, Jing Li, Qiu-Feng Wang, Kaizhu Huang, Rui Zhang
2019 — conf
Joint Multi-Label Attention Networks for Social Text Annotation.
NAACL-HLT (1)
Hang Dong, Wei Wang, Kaizhu Huang, Frans Coenen
2019 — conf
Long Short-Term Attention.
BICS
Guoqiang Zhong, Xin Lin, Kang Chen, Qingyang Li, Kaizhu Huang
2019 B conf
MPSSD: Multi-Path Fusion Single Shot Detector.
IJCNN
Shuyi Qu, Kaizhu Huang, Amir Hussain, Yannis Goulermas
2019 — conf
Mining human activity and smartphone position from motion sensors.
IUI Companion
Zhiqiang Gao, Dawei Liu, Kaizhu Huang, Yi Huang
2019 — conf
Offline Arabic Handwriting Recognition Using Deep Machine Learning: A Review of Recent Advances.
BICS
Rami Ahmed, Kia Dashtipour, Mandar Gogate, Ali Raza, Rui Zhang, Kaizhu Huang, Ahmad Y. A. Hawalah, Ahsan Adeel, Amir Hussain
2019 — conf
Primitives Generation Policy Learning without Catastrophic Forgetting for Robotic Manipulation.
ICDM Workshops
Fangzhou Xiong, Zhiyong Liu, Kaizhu Huang, Xu Yang, Amir Hussain
2019 — conf
Random Features and Random Neurons for Brain-Inspired Big Data Analytics.
ICDM Workshops
Mandar Gogate, Amir Hussain, Kaizhu Huang
2019 J jnl
Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach.
CoRR
Bingfeng Zhang, Jimin Xiao, Yunchao Wei, Mingjie Sun, Kaizhu Huang
2019 J jnl
Segmentation Mask Guided End-to-End Person Search.
CoRR
Dingyuan Zheng, Jimin Xiao, Kaizhu Huang, Yao Zhao
2019 — conf
Self-focus Deep Embedding Model for Coarse-Grained Zero-Shot Classification.
BICS
Guanyu Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain
2019 — conf
SimpleGAN Stabilizing Generative Adversarial Networks with Simple Distributions.
ICDM Workshops
Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Amir Hussain
2019 J jnl
Special issue on advances in graph algorithm and applications.
Neurocomputing
Zhi-Yong Liu, Kaizhu Huang, Xu Yang, Cheng-Lin Liu
2019 J jnl
Stochastic Conjugate Gradient Algorithm With Variance Reduction.
IEEE Trans. Neural Networks Learn. Syst.
Xiao-Bo Jin, Xu-Yao Zhang, Kaizhu Huang, Guang-Gang Geng
2019 J jnl
Towards Better Forecasting by Fusing Near and Distant Future Visions.
CoRR
Jiezhu Cheng, Kaizhu Huang, Zibin Zheng
2019 A* conf
VSB-DVM: An End-to-End Bayesian Nonparametric Generalization of Deep Variational Mixture Model.
ICDM
Xi Yang, Yuyao Yan, Kaizhu Huang, Rui Zhang
2018 J jnl
A new two-layer mixture of factor analyzers with joint factor loading model for the classification of small dataset problems.
Neurocomputing
Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain
2018 J jnl
Accelerating Infinite Ensemble of Clustering by Pivot Features.
Cogn. Comput.
Xiao-Bo Jin, Guo-Sen Xie, Kaizhu Huang, Amir Hussain
2018 J jnl
Approximately optimizing NDCG using pair-wise loss.
Inf. Sci.
Xiao-Bo Jin, Guang-Gang Geng, Guo-Sen Xie, Kaizhu Huang
2018 J jnl
Banzhaf random forests: Cooperative game theory based random forests with consistency.
Neural Networks
Jianyuan Sun, Guoqiang Zhong, Kaizhu Huang, Junyu Dong
2018 J jnl
Beyond Attributes: Adversarial Erasing Embedding Network for Zero-shot Learning.
CoRR
Xiao-Bo Jin, Kaizhu Huang, Jianyu Miao
2018 J jnl
Correlation Filter Selection for Visual Tracking Using Reinforcement Learning.
CoRR
Yanchun Xie, Jimin Xiao, Kaizhu Huang, Jeyarajan Thiyagalingam, Yao Zhao
2018 — conf
Improving Deep Neural Network Performance with Kernelized Min-Max Objective.
ICONIP (1)
Kai Yao, Kaizhu Huang, Rui Zhang, Amir Hussain
2018 J jnl
Learning Latent Features With Infinite Nonnegative Binary Matrix Trifactorization.
IEEE Trans. Emerg. Top. Comput. Intell.
Xi Yang, Kaizhu Huang, Rui Zhang, Amir Hussain
2018 J jnl
Learning from Few Samples with Memory Network.
Cogn. Comput.
Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain
2018 J jnl
Manifold Adversarial Learning.
CoRR
Shufei Zhang, Kaizhu Huang, Jianke Zhu, Yang Liu
2018 J jnl
Reducing and Stretching Deep Convolutional Activation Features for Accurate Image Classification.
Cogn. Comput.
Guoqiang Zhong, Shoujun Yan, Kaizhu Huang, Yajuan Cai, Junyu Dong
2018 J jnl
Siamese network ensemble for visual tracking.
Neurocomputing
Chenru Jiang, Jimin Xiao, Yanchun Xie, Tammam Tillo, Kaizhu Huang
2018 J jnl
Special Issue Editorial: Cognitively-Inspired Computing for Knowledge Discovery.
Cogn. Comput.
Kaizhu Huang, Rui Zhang, Xiaobo Jin, Amir Hussain
2018 — conf
Style Neutralization Generative Adversarial Classifier.
BICS
Haochuan Jiang, Kaizhu Huang, Rui Zhang, Amir Hussain
2018 J jnl
Three-Dimensional Local Energy-Based Shape Histogram (3D-LESH): A Novel Feature Extraction Technique.
Expert Syst. Appl.
Summrina Kanwal Wajid, Amir Hussain, Kaizhu Huang
2018 — conf
W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks.
ICONIP (5)
Haochuan Jiang, Guanyu Yang, Kaizhu Huang, Rui Zhang
2018 J jnl
Zero-Shot Learning via Attribute Regression and Class Prototype Rectification.
IEEE Trans. Image Process.
Changzhi Luo, Zhetao Li, Kaizhu Huang, Jiashi Feng, Meng Wang
2017 J jnl
A Scalable Deep Neural Network Architecture for Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi Fingerprinting.
CoRR
Kyeong Soo Kim, Sanghyuk Lee, Kaizhu Huang
2017 J jnl
Customer churn prediction in the telecommunication sector using a rough set approach.
Neurocomputing
Adnan Amin, Sajid Anwar, Awais Adnan, Muhammad Nawaz, Khalid Alawfi, Amir Hussain, Kaizhu Huang
2017 — conf
Deep Mixtures of Factor Analyzers with Common Loadings: A Novel Deep Generative Approach to Clustering.
ICONIP (1)
Xi Yang, Kaizhu Huang, Rui Zhang
2017 J jnl
Field Support Vector Machines.
IEEE Trans. Emerg. Top. Comput. Intell.
Kaizhu Huang, Haochuan Jiang, Xu-Yao Zhang
2017 — conf
Field Support Vector Regression.
ICONIP (1)
Haochuan Jiang, Kaizhu Huang, Rui Zhang
2017 — conf
Field support vector machines.
IML
Kaizhu Huang, Haochuan Jiang, Xu-Yao Zhang
2017 J jnl
IAN: The Individual Aggregation Network for Person Search.
CoRR
Jimin Xiao, Yanchun Xie, Tammam Tillo, Kaizhu Huang, Yunchao Wei, Jiashi Feng
2017 — conf
Improve Deep Learning with Unsupervised Objective.
ICONIP (1)
Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain
2017 — conf
Integrated Discovery of Location Prediction Rules in Mobile Environment.
DASC/PiCom/DataCom/CyberSciTech
Elahe Naserian, Xinheng Wang, Xiaolong Xu, Yuning Dong, Nektarios Georgalas, Kaizhu Huang
2017 J jnl
Joint Learning of Unsupervised Dimensionality Reduction and Gaussian Mixture Model.
Neural Process. Lett.
Xi Yang, Kaizhu Huang, John Yannis Goulermas, Rui Zhang
2017 J jnl
Novel Field-Support Vector Regression-Based Soft Sensor for Accurate Estimation of Solar Irradiance.
IEEE Trans. Circuits Syst. I Regul. Pap.
Jieming Ma, Haochuan Jiang, Kaizhu Huang, Ziqiang Bi, Ka Lok Man
2017 J jnl
Stochastic Conjugate Gradient Algorithm with Variance Reduction.
CoRR
Xiao-Bo Jin, Xu-Yao Zhang, Kaizhu Huang, Guang-Gang Geng
2016 J jnl
A fast projected fixed-point algorithm for large graph matching.
Pattern Recognit.
Yao Lu, Kaizhu Huang, Cheng-Lin Liu
2016 — conf
An Investigation of Machine Learning and Neural Computation Paradigms in the Design of Clinical Decision Support Systems (CDSSs).
BICS
Summrina Kanwal Wajid, Amir Hussain, Bin Luo, Kaizhu Huang
2016 — conf
Learning Latent Features with Infinite Non-negative Binary Matrix Tri-factorization.
ICONIP (1)
Xi Yang, Kaizhu Huang, Rui Zhang, Amir Hussain
2016 — conf
Learning from Few Samples with Memory Network.
ICONIP (1)
Shufei Zhang, Kaizhu Huang
2016 — conf
Lung cancer detection using Local Energy-based Shape Histogram (LESH) feature extraction and cognitive machine learning techniques.
ICCI*CC
Summrina Kanwal Wajid, Amir Hussain, Kaizhu Huang, Wadii Boulila
2016 J jnl
Multicores and GPU utilization in parallel swarm algorithm for parameter estimation of photovoltaic cell model.
Appl. Soft Comput.
Tiew On Ting, Jieming Ma, Kyeong Soo Kim, Kaizhu Huang
2016 J jnl
Ranking Entity Based on Both of Word Frequency and Word Sematic Features.
CoRR
Xiao-Bo Jin, Guang-Gang Geng, Kaizhu Huang, Zhiwei Yan
2016 — conf
Statistical Entity Ranking with Domain Knowledge.
NLPCC/ICCPOL
Xiao-Bo Jin, Guang-Gang Geng, Kaizhu Huang, Zhiwei Yan
2015 A* conf
A Unified Gradient Regularization Family for Adversarial Examples.
ICDM
Chunchuan Lyu, Kaizhu Huang, Hai-Ning Liang
2015 J jnl
A Unified Gradient Regularization Family for Adversarial Examples.
CoRR
Chunchuan Lyu, Kaizhu Huang, Hai-Ning Liang
2015 J jnl
DE
Neurocomputing
Xu-Cheng Yin, Kaizhu Huang, Hong-Wei Hao
2015 — ch.
Hybrid Metaheuristic Algorithms: Past, Present, and Future.
Recent Advances in Swarm Intelligence and Evolutionary Computation
T. O. Ting, Xin-She Yang, Shi Cheng, Kaizhu Huang
2015 — conf
Is DeCAF Good Enough for Accurate Image Classification?
ICONIP (2)
Yajuan Cai, Guoqiang Zhong, Yuchen Zheng, Kaizhu Huang, Junyu Dong
2015 J jnl
Learning Imbalanced Classifiers Locally and Globally with One-Side Probability Machine.
Neural Process. Lett.
Kaizhu Huang, Rui Zhang, Xu-Cheng Yin
2015 J jnl
MTC: A Fast and Robust Graph-Based Transductive Learning Method.
IEEE Trans. Neural Networks Learn. Syst.
Yan-Ming Zhang, Kaizhu Huang, Guang-Gang Geng, Cheng-Lin Liu
2015 J jnl
Maximum margin semi-supervised learning with irrelevant data.
Neural Networks
Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu
2015 B conf
Two-layer Mixture of Factor Analyzers with Joint Factor Loading.
IJCNN
Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas
2015 A conf
WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications.
WSDM
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu
2014 — conf
A Novel Hybrid Approach for Combining Deep and Traditional Neural Networks.
ICONIP (3)
Rui Zhang, Shufei Zhang, Kaizhu Huang
2014 J jnl
A novel classifier ensemble method with sparsity and diversity.
Neurocomputing
Xu-Cheng Yin, Kaizhu Huang, Hong-Wei Hao, Khalid Iqbal, Zhi-bin Wang
2014 J jnl
Combination of Classification and Clustering Results with Label Propagation.
IEEE Signal Process. Lett.
Xu-Yao Zhang, Peipei Yang, Yan-Ming Zhang, Kaizhu Huang, Cheng-Lin Liu
2014 J jnl
Convex ensemble learning with sparsity and diversity.
Inf. Fusion
Xu-Cheng Yin, Kaizhu Huang, Chun Yang, Hong-Wei Hao
2014 J jnl
Graphical lasso quadratic discriminant function and its application to character recognition.
Neurocomputing
Bo Xu, Kaizhu Huang, Irwin King, Cheng-Lin Liu, Jun Sun, Satoshi Naoi
2014 J jnl
Learning Locality Preserving Graph from Data.
IEEE Trans. Cybern.
Yan-Ming Zhang, Kaizhu Huang, Xinwen Hou, Cheng-Lin Liu
2014 — ed.
Neural Information Processing - 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part I
ICONIP (1)
Chu Kiong Loo, Keem Siah Yap, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang
2014 — ed.
Neural Information Processing - 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part II
ICONIP (2)
Chu Kiong Loo, Keem Siah Yap, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang
2014 — ed.
Neural Information Processing - 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part III
ICONIP (3)
Chu Kiong Loo, Keem Siah Yap, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang
2014 J jnl
Robust Text Detection in Natural Scene Images.
IEEE Trans. Pattern Anal. Mach. Intell.
Xu-Cheng Yin, Xuwang Yin, Kaizhu Huang, Hong-Wei Hao
2014 — conf
Text Categorization with Diversity Random Forests.
ICONIP (3)
Chun Yang, Xu-Cheng Yin, Kaizhu Huang
2014 — conf
Unsupervised Dimensionality Reduction for Gaussian Mixture Model.
ICONIP (2)
Xi Yang, Kaizhu Huang, Rui Zhang
2013 J jnl
A multi-task framework for metric learning with common subspace.
Neural Comput. Appl.
Peipei Yang, Kaizhu Huang, Cheng-Lin Liu
2013 A* conf
Accurate and robust text detection: a step-in for text retrieval in natural scene images.
SIGIR
Xu-Cheng Yin, Xuwang Yin, Kaizhu Huang, Hong-Wei Hao
2013 — conf
Dynamic Ensemble of Ensembles in Nonstationary Environments.
ICONIP (2)
Xu-Cheng Yin, Kaizhu Huang, Hong-Wei Hao
2013 — conf
Efficient clinical decision making by learning from missing clinical data.
CICARE
Kamran Farooq, Peipei Yang, Amir Hussain, Kaizhu Huang, Calum A. MacRae, Chris Eckl, Warner V. Slack
2013 — conf
Fast kNN Graph Construction with Locality Sensitive Hashing.
ECML/PKDD (2)
Yan-Ming Zhang, Kaizhu Huang, Guanggang Geng, Cheng-Lin Liu
2013 A* conf
Feature Transformation with Class Conditional Decorrelation.
ICDM
Xu-Yao Zhang, Kaizhu Huang, Cheng-Lin Liu
2013 J jnl
Geometry preserving multi-task metric learning.
Mach. Learn.
Peipei Yang, Kaizhu Huang, Cheng-Lin Liu
2013 — conf
One-Side Probability Machine: Learning Imbalanced Classifiers Locally and Globally.
ICONIP (2)
Rui Zhang, Kaizhu Huang
2013 J jnl
Robust Text Detection in Natural Scene Images
CoRR
Xu-Cheng Yin, Xuwang Yin, Kaizhu Huang
2012 J jnl
A Fast Projected Fixed-Point Algorithm for Large Graph Matching
CoRR
Yao Lu, Kaizhu Huang, Cheng-Lin Liu
2012 — conf
Classifier Ensemble Using a Heuristic Learning with Sparsity and Diversity.
ICONIP (2)
Xu-Cheng Yin, Kaizhu Huang, Hong-Wei Hao, Khalid Iqbal, Zhi-bin Wang
2012 — conf
Geometry Preserving Multi-task Metric Learning.
ECML/PKDD (1)
Peipei Yang, Kaizhu Huang, Cheng-Lin Liu
2012 J jnl
Joint learning of error-correcting output codes and dichotomizers from data.
Neural Comput. Appl.
Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu
2012 — conf
Manifold Regularized Multi-Task Learning.
ICONIP (3)
Peipei Yang, Xu-Yao Zhang, Kaizhu Huang, Cheng-Lin Liu
2012 J jnl
Maxi-Min discriminant analysis via online learning.
Neural Networks
Bo Xu, Kaizhu Huang, Cheng-Lin Liu
2012 — conf
Multiple Outlooks Learning with Support Vector Machines.
ICONIP (3)
Yinglu Liu, Xu-Yao Zhang, Kaizhu Huang, Xinwen Hou, Cheng-Lin Liu
2012 J jnl
Robust Metric Learning by Smooth Optimization
CoRR
Kaizhu Huang, Rong Jin, Zenglin Xu, Cheng-Lin Liu
2011 J jnl
Exchange rate prediction with non-numerical information.
Neural Comput. Appl.
Zhi-bin Wang, Hong-Wei Hao, Xu-Cheng Yin, Qian Liu, Kaizhu Huang
2011 J jnl
FMI image based rock structure classification using classifier combination.
Neural Comput. Appl.
Xu-Cheng Yin, Qian Liu, Hong-Wei Hao, Zhi-bin Wang, Kaizhu Huang
2011 A* conf
Fast and Robust Graph-based Transductive Learning via Minimum Tree Cut.
ICDM
Yan-Ming Zhang, Kaizhu Huang, Cheng-Lin Liu
2011 J jnl
Generalized sparse metric learning with relative comparisons.
Knowl. Inf. Syst.
Kaizhu Huang, Yiming Ying, Colin Campbell
2011 — conf
Graphical Lasso Quadratic Discriminant Function for Character Recognition.
ICONIP (3)
Bo Xu, Kaizhu Huang, Irwin King, Cheng-Lin Liu, Jun Sun, Satoshi Naoi
2011 A* conf
Low Rank Metric Learning with Manifold Regularization.
ICDM
Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu
2011 — conf
Multi-Task Low-Rank Metric Learning Based on Common Subspace.
ICONIP (2)
Peipei Yang, Kaizhu Huang, Cheng-Lin Liu
2011 A* conf
Pattern Field Classification with Style Normalized Transformation.
IJCAI
Xu-Yao Zhang, Kaizhu Huang, Cheng-Lin Liu
2011 J jnl
m-SNE: Multiview Stochastic Neighbor Embedding.
IEEE Trans. Syst. Man Cybern. Part B
Bo Xie, Yang Mu, Dacheng Tao, Kaizhu Huang
2010 B conf
Dimensionality Reduction by Minimal Distance Maximization.
ICPR
Bo Xu, Kaizhu Huang, Cheng-Lin Liu
2010 B conf
Ellipse Detection with an Improved Randomized Hough Transform for Intellectual Phacoemulsification Surgery Systems.
ICIP
Hong-Wei Hao, Qian Liu, Xu-Cheng Yin, Zhi-bin Wang, Kaizhu Huang
2010 — conf
Learning ECOC and Dichotomizers Jointly from Data.
ICONIP (1)
Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu
2010 A conf
Robust Metric Learning by Smooth Optimization.
UAI
Kaizhu Huang, Rong Jin, Zenglin Xu, Cheng-Lin Liu
2010 B conf
Similar Handwritten Chinese Characters Recognition by Critical Region Selection Based on Average Symmetric Uncertainty.
ICFHR
Bo Xu, Kaizhu Huang, Cheng-Lin Liu
2010 J jnl
Sparse learning for support vector classification.
Pattern Recognit. Lett.
Kaizhu Huang, Danian Zheng, Jun Sun, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi
2009 — conf
A Rock Structure Recognition System Using FMI Images.
ICONIP (1)
Xu-Cheng Yin, Qian Liu, Hong-Wei Hao, Zhi-bin Wang, Kaizhu Huang
2009 J jnl
A novel kernel-based maximum a posteriori classification method.
Neural Networks
Zenglin Xu, Kaizhu Huang, Jianke Zhu, Irwin King, Michael R. Lyu
2009 J jnl
Arbitrary Norm Support Vector Machines.
Neural Comput.
Kaizhu Huang, Danian Zheng, Irwin King, Michael R. Lyu
2009 J jnl
Enhanced protein fold recognition through a novel data integration approach.
BMC Bioinform.
Yiming Ying, Kaizhu Huang, Colin Campbell
2009 — conf
Exchange Rate Forecasting Using Classifier Ensemble.
ICONIP (1)
Zhi-bin Wang, Hong-Wei Hao, Xu-Cheng Yin, Qian Liu, Kaizhu Huang
2009 A* conf
GSML: A Unified Framework for Sparse Metric Learning.
ICDM
Kaizhu Huang, Yiming Ying, Colin Campbell
2009 J jnl
Localized support vector regression for time series prediction.
Neurocomputing
Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu
2009 — conf
Sparse Metric Learning via Smooth Optimization.
NIPS
Yiming Ying, Kaizhu Huang, Colin Campbell
2009 B conf
Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data.
IJCNN
Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, Colin Campbell
2008 — conf
A Scenario-View Based Approach to Analyze External Behavior of Web Services for Supporting Mediated Service Interactions.
IEEE SCC (2)
Zhangbing Zhou, Sami Bhiri, Lei Shu, Kaizhu Huang, Laurentiu Vasiliu, Manfred Hauswirth
2008 A* conf
Direct Zero-Norm Optimization for Feature Selection.
ICDM
Kaizhu Huang, Irwin King, Michael R. Lyu
2008 B conf
Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel.
IJCNN
Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu
2008 J jnl
Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally.
IEEE Trans. Neural Networks
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu
2008 A* conf
Semi-supervised Learning from General Unlabeled Data.
ICDM
Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu
2008 A conf
Semi-supervised text categorization by active search.
CIKM
Zenglin Xu, Rong Jin, Kaizhu Huang, Michael R. Lyu, Irwin King
2007 A conf
An SVM-Based High-accurate Recognition Approach for Handwritten Numerals by Using Difference Features.
ICDAR
Kaizhu Huang, Jun Sun, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi
2007 A conf
Degraded Character Recognition by Complementary Classifiers Combination.
ICDAR
Jun Sun, Kaizhu Huang, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi
2007 — conf
Kernel Maximum a Posteriori Classification with Error Bound Analysis.
ICONIP (1)
Zenglin Xu, Kaizhu Huang, Jianke Zhu, Irwin King, Michael R. Lyu
2006 — conf
A Hybrid Handwritten Chinese Address Recognition Approach.
ICONIP (2)
Kaizhu Huang, Jun Sun, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi, Chong Long, Li Zhuang, Xiaoyan Zhu
2006 J jnl
Imbalanced learning with a biased minimax probability machine.
IEEE Trans. Syst. Man Cybern. Part B
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu
2006 B conf
Local Support Vector Regression for Financial Time Series Prediction.
IJCNN
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu
2006 J jnl
Maximizing sensitivity in medical diagnosis using biased minimax probability Machine.
IEEE Trans. Biomed. Eng.
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu
2004 — conf
Biased Minimax Probability Machine for Medical Diagnosis.
AI&M
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan
2004 B conf
Biased support vector machine for relevance feedback in image retrieval.
IJCNN
Steven Chu-Hong Hoi, Chi-Hang Chan, Kaizhu Huang, Michael R. Lyu, Irwin King
2004 — conf
Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine.
CVPR (2)
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu
2004 — —
Learning from data locally and globally.
Kaizhu Huang
2004 A* conf
Learning large margin classifiers locally and globally.
ICML
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu
2004 B conf
Outliers Treatment in Support Vector Regression for Financial Time Series Prediction.
ICONIP
Haiqin Yang, Kaizhu Huang, Laiwan Chan, Irwin King, Michael R. Lyu
2004 J jnl
The Minimum Error Minimax Probability Machine.
J. Mach. Learn. Res.
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan
2003 B conf
Discriminative training of Bayesian Chow-Liu multinet classifiers.
IJCNN
Kaizhu Huang, Irwun King, Michael R. Lyu
2003 C conf
Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier.
ICANN
Kaizhu Huang, Irwin King, Michael R. Lyu