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2020 – today
- 2024
- [j133]Vikas Hassija, Vinay Chamola
, Atmesh Mahapatra, Abhinandan Singal, Divyansh Goel, Kaizhu Huang, Simone Scardapane, Indro Spinelli, Mufti Mahmud
, Amir Hussain:
Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence. Cogn. Comput. 16(1): 45-74 (2024) - [j132]Siva Sai, Uday Mittal, Vinay Chamola
, Kaizhu Huang, Indro Spinelli, Simone Scardapane, Zhiyuan Tan, Amir Hussain:
Machine Un-learning: An Overview of Techniques, Applications, and Future Directions. Cogn. Comput. 16(2): 482-506 (2024) - [j131]Cosimo Ieracitano, Francesco Carlo Morabito, Stefano Squartini
, Kaizhu Huang, Xuelong Li, Mufti Mahmud
:
Guest Editorial: Advances in Deep Learning for Clinical and Healthcare Applications. Cogn. Comput. 16(3): 1331-1333 (2024) - [j130]Guanyu Yang, Kaizhu Huang, Rui Zhang, Xi Yang:
Instance-Specific Model Perturbation Improves Generalized Zero-Shot Learning. Neural Comput. 36(5): 936-962 (2024) - [j129]Zhuang Qian, Shufei Zhang, Kaizhu Huang
, Qiufeng Wang, Xinping Yi, Bin Gu
, Huan Xiong:
Perturbation diversity certificates robust generalization. Neural Networks 172: 106117 (2024) - [j128]Jianan Ye
, Yijie Hu
, Xi Yang
, Qiu-Feng Wang, Chao Huang, Kaizhu Huang
:
SaliencyCut: Augmenting plausible anomalies for anomaly detection. Pattern Recognit. 153: 110508 (2024) - [j127]Shiran Yuan
, Kaizhu Huang
:
A generalizable framework for low-rank tensor completion with numerical priors. Pattern Recognit. 155: 110678 (2024) - [j126]Wei Li
, Chuyi Chen
, Kaizhu Huang
:
Absorb and Repel: Pseudo-Label Refinement for Intra-Camera Supervised Person Re-Identification. IEEE Trans. Artif. Intell. 5(6): 2884-2896 (2024) - [j125]Kai Yao
, Kaizhu Huang
, Jie Sun
, Amir Hussain:
PointNu-Net: Keypoint-Assisted Convolutional Neural Network for Simultaneous Multi-Tissue Histology Nuclei Segmentation and Classification. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 802-813 (2024) - [j124]Peisong Li
, Ziren Xiao
, Xinheng Wang
, Kaizhu Huang
, Yi Huang
, Honghao Gao:
EPtask: Deep Reinforcement Learning Based Energy-Efficient and Priority-Aware Task Scheduling for Dynamic Vehicular Edge Computing. IEEE Trans. Intell. Veh. 9(1): 1830-1846 (2024) - [j123]Jingwei Guo
, Kaizhu Huang
, Xinping Yi
, Rui Zhang
:
Learning Disentangled Graph Convolutional Networks Locally and Globally. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3640-3651 (2024) - [j122]Jiezhu Cheng
, Kaizhu Huang
, Zibin Zheng
:
Can Perturbations Help Reduce Investment Risks? Risk-aware Stock Recommendation via Split Variational Adversarial Training. ACM Trans. Inf. Syst. 42(4): 101:1-101:28 (2024) - [j121]Yijie Hu
, Bin Dong
, Kaizhu Huang
, Lei Ding
, Wei Wang
, Xiaowei Huang
, Qiu-Feng Wang
:
Scene Text Recognition via Dual-path Network with Shape-driven Attention Alignment. ACM Trans. Multim. Comput. Commun. Appl. 20(4): 107:1-107:20 (2024) - [j120]Penglei Gao
, Xi Yang
, Rui Zhang
, Kaizhu Huang
:
Continuous Image Outpainting with Neural ODE. ACM Trans. Multim. Comput. Commun. Appl. 20(7): 203:1-203:16 (2024) - [c128]Zhaorui Tan, Xi Yang, Kaizhu Huang:
Semantic-Aware Data Augmentation for Text-to-Image Synthesis. AAAI 2024: 5098-5107 - [c127]Zixian Su, Jingwei Guo, Kai Yao, Xi Yang, Qiufeng Wang, Kaizhu Huang:
Unraveling Batch Normalization for Realistic Test-Time Adaptation. AAAI 2024: 15136-15144 - [c126]Zihao Zhou, Qiufeng Wang, Mingyu Jin, Jie Yao, Jianan Ye, Wei Liu, Wei Wang, Xiaowei Huang, Kaizhu Huang:
MathAttack: Attacking Large Language Models towards Math Solving Ability. AAAI 2024: 19750-19758 - [c125]Wenhui Wei, Jiantao Li, Kaizhu Huang, Jiadong Li, Xin Liu, Yangfan Zhou:
Lite-SVO: Towards A Lightweight Self-Supervised Semantic Visual Odometry Exploiting Multi-Feature Sharing Architecture. ICRA 2024: 10305-10311 - [e5]Jinchang Ren, Amir Hussain
, Iman Yi Liao, Rongjun Chen, Kaizhu Huang, Huimin Zhao, Xiaoyong Liu, Ping Ma, Thomas Maul:
Advances in Brain Inspired Cognitive Systems - 13th International Conference, BICS 2023, Kuala Lumpur, Malaysia, August 5-6, 2023, Proceedings. Lecture Notes in Computer Science 14374, Springer 2024, ISBN 978-981-97-1416-2 [contents] - [i67]Jingwei Guo, Kaizhu Huang, Xinping Yi, Zixian Su, Rui Zhang:
Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering. CoRR abs/2401.09071 (2024) - [i66]Zhaorui Tan, Xi Yang, Kaizhu Huang:
Rethinking Multi-domain Generalization with A General Learning Objective. CoRR abs/2402.18853 (2024) - [i65]Tianyi Liu, Zhaorui Tan, Kaizhu Huang, Haochuan Jiang:
Rethinking Information Loss in Medical Image Segmentation with Various-sized Targets. CoRR abs/2403.19177 (2024) - [i64]Yuqi Wang, Zeqiang Wang, Wei Wang, Qi Chen, Kaizhu Huang, Anh Nguyen, Suparna De:
DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness. CoRR abs/2404.09206 (2024) - [i63]Kai Yao, Zhaorui Tan, Zixian Su, Xi Yang, Jie Sun, Kaizhu Huang:
SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation. CoRR abs/2405.14278 (2024) - [i62]Zhaorui Tan, Chengrui Zhang, Xi Yang, Jie Sun, Kaizhu Huang:
Revisiting Mutual Information Maximization for Generalized Category Discovery. CoRR abs/2405.20711 (2024) - [i61]Zihan Ye, Shreyank N. Gowda, Xiaobo Jin, Xiaowei Huang, Haotian Xu, Yaochu Jin, Kaizhu Huang:
Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models. CoRR abs/2406.02929 (2024) - [i60]Haochuan Jiang, Guanyu Yang, Kaizhu Huang, Rui Zhang:
W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks. CoRR abs/2406.06122 (2024) - [i59]Haochuan Jiang, Guanyu Yang, Fei Cheng, Kaizhu Huang:
Generalized W-Net: Arbitrary-style Chinese Character Synthesization. CoRR abs/2406.06847 (2024) - [i58]Zihao Zhou, Shudong Liu, Maizhen Ning, Wei Liu, Jindong Wang, Derek F. Wong, Xiaowei Huang, Qiufeng Wang, Kaizhu Huang:
Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist. CoRR abs/2407.08733 (2024) - 2023
- [j119]Ke Xu, Guoqiang Zhong
, Zhaoyang Deng, Kang Zhang, Kaizhu Huang:
Self-supervised generative learning for sequential data prediction. Appl. Intell. 53(18): 20675-20689 (2023) - [j118]Da Ke, Xiang Wang
, Kaizhu Huang, Haoyuan Wang, Zhitao Huang:
Minimum Power Adversarial Attacks in Communication Signal Modulation Classification with Deep Learning. Cogn. Comput. 15(2): 580-589 (2023) - [j117]Yangfan Zhou
, Kaizhu Huang
, Jiang Li, Cheng Cheng, Xuguang Wang, Amir Hussain, Xin Liu
:
Randomized block-coordinate adaptive algorithms for nonconvex optimization problems. Eng. Appl. Artif. Intell. 121: 105968 (2023) - [j116]Shuying Hu, Qiufeng Wang, Kaizhu Huang, Min Wen, Frans Coenen
:
Retrieval-based language model adaptation for handwritten Chinese text recognition. Int. J. Document Anal. Recognit. 26(2): 109-119 (2023) - [j115]Chenru Jiang, Kaizhu Huang, Junwei Wu, Xinheng Wang, Jimin Xiao, Amir Hussain:
PointGS: Bridging and fusing geometric and semantic space for 3D point cloud analysis. Inf. Fusion 91: 316-326 (2023) - [j114]Yuqi Wang
, Wei Wang, Qi Chen, Kaizhu Huang, Anh Nguyen, Suparna De
, Amir Hussain:
Fusing external knowledge resources for natural language understanding techniques: A survey. Inf. Fusion 92: 190-204 (2023) - [j113]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
:
Deep learning for brain age estimation: A systematic review. Inf. Fusion 96: 130-143 (2023) - [j112]Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Jimin Xiao, Yuan He, Canyi Lu:
Robust generative adversarial network. Mach. Learn. 112(12): 5135-5161 (2023) - [j111]Penglei Gao
, Xi Yang
, Rui Zhang, John Yannis Goulermas, Yujie Geng, Yuyao Yan, Kaizhu Huang
:
Generalized image outpainting with U-transformer. Neural Networks 162: 1-10 (2023) - [j110]Chenru Jiang, Kaizhu Huang, Shufei Zhang, Xinheng Wang
, Jimin Xiao, Yannis Goulermas
:
Aggregated pyramid gating network for human pose estimation without pre-training. Pattern Recognit. 138: 109429 (2023) - [j109]Jing Li, Qiu-Feng Wang, Kaizhu Huang, Xi Yang, Rui Zhang, John Yannis Goulermas
:
Towards better long-tailed oracle character recognition with adversarial data augmentation. Pattern Recognit. 140: 109534 (2023) - [j108]Hao Chen, Linyan Li, Fuyuan Hu, Fan Lyu, Liuqing Zhao, Kaizhu Huang, Wei Feng, Zhenping Xia:
Multi-semantic hypergraph neural network for effective few-shot learning. Pattern Recognit. 142: 109677 (2023) - [j107]Zhaorui Tan
, Xi Yang, Zihan Ye, Qiufeng Wang, Yuyao Yan, Anh Nguyen, Kaizhu Huang
:
Semantic Similarity Distance: Towards better text-image consistency metric in text-to-image generation. Pattern Recognit. 144: 109883 (2023) - [j106]Yangfan Zhou
, Kaizhu Huang
, Cheng Cheng, Xuguang Wang
, Amir Hussain, Xin Liu
:
Towards Faster Training Algorithms Exploiting Bandit Sampling From Convex to Strongly Convex Conditions. IEEE Trans. Emerg. Top. Comput. Intell. 7(2): 565-577 (2023) - [j105]Chenru Jiang
, Kaizhu Huang
, Shufei Zhang, Xinheng Wang
, Jimin Xiao
, Zhenxing Niu, Amir Hussain:
Towards Simple and Accurate Human Pose Estimation With Stair Network. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 805-817 (2023) - [j104]Wenhui Wei
, Kaizhu Huang
, Xin Liu
, Yangfan Zhou
:
GSL-VO: A Geometric-Semantic Information Enhanced Lightweight Visual Odometry in Dynamic Environments. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j103]Zihan Ye
, Guanyu Yang
, Xiaobo Jin, Youfa Liu
, Kaizhu Huang
:
Rebalanced Zero-Shot Learning. IEEE Trans. Image Process. 32: 4185-4198 (2023) - [j102]Zixian Su
, Kai Yao
, Xi Yang
, Qiufeng Wang
, Yuyao Yan, Jie Sun
, Kaizhu Huang
:
Mind the Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation. IEEE J. Biomed. Health Informatics 27(7): 3396-3407 (2023) - [j101]Jiezhu Cheng
, Kaizhu Huang
, Zibin Zheng
:
Fitting Imbalanced Uncertainties in Multi-output Time Series Forecasting. ACM Trans. Knowl. Discov. Data 17(7): 102:1-102:23 (2023) - [j100]Penglei Gao
, Xi Yang
, Rui Zhang
, Kaizhu Huang
, John Yannis Goulermas
:
Explainable Tensorized Neural Ordinary Differential Equations for Arbitrary-Step Time Series Prediction. IEEE Trans. Knowl. Data Eng. 35(6): 5837-5850 (2023) - [j99]Yangfan Zhou
, Kaizhu Huang
, Cheng Cheng, Xuguang Wang
, Amir Hussain, Xin Liu
:
FastAdaBelief: Improving Convergence Rate for Belief-Based Adaptive Optimizers by Exploiting Strong Convexity. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6515-6529 (2023) - [c124]Zixian Su, Kai Yao, Xi Yang, Kaizhu Huang, Qiufeng Wang, Jie Sun:
Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation. AAAI 2023: 2366-2374 - [c123]Yuqi Wang, Wei Wang, Qi Chen, Kaizhu Huang, Anh Nguyen, Suparna De:
Prompt-based Zero-shot Text Classification with Conceptual Knowledge. ACL (student) 2023: 30-38 - [c122]Zihao Zhou, Maizhen Ning
, Qiufeng Wang, Jie Yao, Wei Wang, Xiaowei Huang, Kaizhu Huang:
Learning by Analogy: Diverse Questions Generation in Math Word Problem. ACL (Findings) 2023: 11091-11104 - [c121]Haochuan Jiang, Guanyu Yang, Fei Cheng, Kaizhu Huang:
Generalized W-Net: Arbitrary-Style Chinese Character Synthesization. BICS 2023: 190-200 - [c120]Sidong Jiang, Siyuan Wang, Rui Zhang, Xi Yang, Kaizhu Huang:
Cipher-Prompt: Towards a Safe Diffusion Model via Learning Cryptographic Prompts. BICS 2023: 322-332 - [c119]Wei Liao, Jiayi Liu, Jianghan Chen, Qiu-Feng Wang, Kaizhu Huang:
Visual-Textual Attention for Tree-Based Handwritten Mathematical Expression Recognition. BICS 2023: 375-384 - [c118]Kai Yao
, Zixian Su
, Xi Yang
, Jie Sun
, Kaizhu Huang
:
Explore Epistemic Uncertainty in Domain Adaptive Semantic Segmentation. CIKM 2023: 2990-2998 - [c117]Peisong Li
, Ziren Xiao, Xinheng Wang, Kaizhu Huang, Yi Huang
, Andrei Tchernykh:
Multi-agent Reinforcement Learning Based Collaborative Multi-task Scheduling for Vehicular Edge Computing. CollaborateCom (3) 2023: 3-22 - [c116]Weiguang Zhao, Yuyao Yan, Chaolong Yang, Jianan Ye, Xi Yang, Kaizhu Huang:
Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization. ICCV 2023: 562-571 - [c115]Zhiqiang Gao, Kaizhu Huang, Rui Zhang, Dawei Liu, Jieming Ma:
Towards Better Robustness against Common Corruptions for Unsupervised Domain Adaptation. ICCV 2023: 18836-18847 - [c114]Jing Li, Bin Dong, Qiu-Feng Wang, Lei Ding, Rui Zhang, Kaizhu Huang:
Decoupled Learning for Long-Tailed Oracle Character Recognition. ICDAR (4) 2023: 165-181 - [c113]Yiming Lin, Xiao-Bo Jin, Qiufeng Wang, Kaizhu Huang:
Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network. ICDM 2023: 1163-1168 - [c112]Shuyi Qu, Zhenxing Niu, Jianke Zhu, Bin Dong, Kaizhu Huang:
Structure First Detail Next: Image Inpainting with Pyramid Generator. ICME 2023: 1265-1270 - [c111]Chaolong Yang, Yuyao Yan, Weiguang Zhao, Jianan Ye, Xi Yang, Amir Hussain, Bin Dong, Kaizhu Huang:
Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation. ICONIP (15) 2023: 3-15 - [c110]Huiru Shao, Kaizhu Huang, Wei Wang, Xiaowei Huang, Qiufeng Wang:
Progressive Supervision for Tampering Localization in Document Images. ICONIP (15) 2023: 140-151 - [c109]Zhaorui Tan
, Siyuan Wang
, Xi Yang
, Kaizhu Huang
:
PAG: Protecting Artworks from Personalizing Image Generative Models. ICONIP (4) 2023: 433-444 - [c108]Jiayi Liu, Qiufeng Wang, Wei Liao, Jianghan Chen, Kaizhu Huang:
Improving Handwritten Mathematical Expression Recognition via an Attention Refinement Network. ICONIP (13) 2023: 543-555 - [c107]Maizhen Ning
, Qiu-Feng Wang
, Kaizhu Huang
, Xiaowei Huang
:
A Symbolic Characters Aware Model for Solving Geometry Problems. ACM Multimedia 2023: 7767-7775 - [c106]Jingwei Guo
, Kaizhu Huang
, Xinping Yi
, Rui Zhang
:
Graph Neural Networks with Diverse Spectral Filtering. WWW 2023: 306-316 - [i57]Jiezhu Cheng, Kaizhu Huang, Zibin Zheng:
Can Perturbations Help Reduce Investment Risks? Risk-Aware Stock Recommendation via Split Variational Adversarial Training. CoRR abs/2304.11043 (2023) - [i56]Jianan Ye, Yijie Hu, Xi Yang, Qiu-Feng Wang, Chao Huang, Kaizhu Huang:
SaliencyCut: Augmenting Plausible Anomalies for Open-set Fine-Grained Anomaly Detection. CoRR abs/2306.08366 (2023) - [i55]Zihao Zhou, Maizhen Ning, Qiufeng Wang, Jie Yao, Wei Wang, Xiaowei Huang, Kaizhu Huang:
Learning by Analogy: Diverse Questions Generation in Math Word Problem. CoRR abs/2306.09064 (2023) - [i54]Maizhen Ning, Qiu-Feng Wang, Kaizhu Huang, Xiaowei Huang:
A Symbolic Character-Aware Model for Solving Geometry Problems. CoRR abs/2308.02823 (2023) - [i53]Zihao Zhou, Qiufeng Wang, Mingyu Jin, Jie Yao, Jianan Ye, Wei Liu, Wei Wang, Xiaowei Huang, Kaizhu Huang:
MathAttack: Attacking Large Language Models Towards Math Solving Ability. CoRR abs/2309.01686 (2023) - [i52]Yiming Lin, Xiao-Bo Jin, Qiufeng Wang, Kaizhu Huang:
Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network. CoRR abs/2310.16616 (2023) - [i51]Aven Le Zhou, Qiufeng Wang, Cheng-Hung Lo, Kaizhu Huang:
ShanshuiDaDA: An Interactive, Generative System towards Chinese Shanshui Painting. CoRR abs/2310.19803 (2023) - [i50]Yuqi Wang, Zeqiang Wang, Wei Wang, Qi Chen, Kaizhu Huang, Anh Nguyen, Suparna De
:
Zero-Shot Medical Information Retrieval via Knowledge Graph Embedding. CoRR abs/2310.20588 (2023) - [i49]Weiguang Zhao, Guanyu Yang, Chaolong Yang, Chenru Jiang, Yuyao Yan, Rui Zhang, Kaizhu Huang:
Diff-OP3D: Bridging 2D Diffusion for Open Pose 3D Zero-Shot Classification. CoRR abs/2312.07039 (2023) - [i48]Weiguang Zhang, Qiufeng Wang, Kaizhu Huang:
Polar-Doc: One-Stage Document Dewarping with Multi-Scope Constraints under Polar Representation. CoRR abs/2312.07925 (2023) - [i47]Zhaorui Tan, Xi Yang, Kaizhu Huang:
Semantic-aware Data Augmentation for Text-to-image Synthesis. CoRR abs/2312.07951 (2023) - [i46]Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang:
Graph Neural Networks with Diverse Spectral Filtering. CoRR abs/2312.09041 (2023) - [i45]Zixian Su, Jingwei Guo, Kai Yao, Xi Yang, Qiufeng Wang, Kaizhu Huang:
Unraveling Batch Normalization for Realistic Test-Time Adaptation. CoRR abs/2312.09486 (2023) - [i44]Jing Li, Qiu-Feng Wang, Kaizhu Huang, Rui Zhang, Siyuan Wang:
Diff-Oracle: Diffusion Model for Oracle Character Generation with Controllable Styles and Contents. CoRR abs/2312.13631 (2023) - 2022
- [j98]Yangfan Zhou
, Kaizhu Huang
, Cheng Cheng, Xuguang Wang, Xin Liu
:
LightAdam: Towards a Fast and Accurate Adaptive Momentum Online Algorithm. Cogn. Comput. 14(2): 764-779 (2022) - [j97]Jingtao Yao, Yiyu Yao, Davide Ciucci, Kaizhu Huang:
Granular Computing and Three-way Decisions for Cognitive Analytics. Cogn. Comput. 14(6): 1801-1804 (2022) - [j96]Yuxu Mao, Guoqiang Zhong
, Haizhen Wang, Kaizhu Huang:
Music-CRN: an Efficient Content-Based Music Classification and Recommendation Network. Cogn. Comput. 14(6): 2306-2316 (2022) - [j95]Haji Gul, Feras N. Al-Obeidat
, Adnan Amin, Muhammad Tahir, Kaizhu Huang:
Efficient link prediction model for real-world complex networks using matrix-forest metric with local similarity features. J. Complex Networks 10(5) (2022) - [j94]Qi Chen
, Wei Wang
, Kaizhu Huang
, Frans Coenen
:
Zero-Shot Text Classification via Knowledge Graph Embedding for Social Media Data. IEEE Internet Things J. 9(12): 9205-9213 (2022) - [j93]Shufei Zhang, Kaizhu Huang, Zenglin Xu:
Re-thinking model robustness from stability: a new insight to defend adversarial examples. Mach. Learn. 111(7): 2489-2513 (2022) - [j92]Xiaobo Jin, Jianyu Miao, Qiufeng Wang, Guanggang Geng, Kaizhu Huang:
Sparse matrix factorization with L2, 1 norm for matrix completion. Pattern Recognit. 127: 108655 (2022) - [j91]Bingfeng Zhang
, Jimin Xiao, Yunchao Wei, Kaizhu Huang, Shan Luo
, Yao Zhao:
End-to-end weakly supervised semantic segmentation with reliable region mining. Pattern Recognit. 128: 108663 (2022) - [j90]Zhuang Qian, Kaizhu Huang, Qiu-Feng Wang, Xu-Yao Zhang:
A survey of robust adversarial training in pattern recognition: Fundamental, theory, and methodologies. Pattern Recognit. 131: 108889 (2022) - [j89]Dingyuan Zheng
, Jimin Xiao, Yunchao Wei, Qiufeng Wang, Kaizhu Huang, Yao Zhao:
Unsupervised domain adaptation in homogeneous distance space for person re-identification. Pattern Recognit. 132: 108941 (2022) - [j88]Liting Sun, Da Ke, Xiang Wang, Zhitao Huang, Kaizhu Huang:
Robustness of Deep Learning-Based Specific Emitter Identification under Adversarial Attacks. Remote. Sens. 14(19): 4996 (2022) - [j87]Peisong Li
, Xinheng Wang
, Kaizhu Huang, Yi Huang
, Shancang Li, Muddesar Iqbal
:
Multi-Model Running Latency Optimization in an Edge Computing Paradigm. Sensors 22(16): 6097 (2022) - [j86]Kai Yao
, Zixian Su
, Kaizhu Huang
, Xi Yang
, Jie Sun, Amir Hussain, Frans Coenen
:
A Novel 3D Unsupervised Domain Adaptation Framework for Cross-Modality Medical Image Segmentation. IEEE J. Biomed. Health Informatics 26(10): 4976-4986 (2022) - [j85]Zihan Ye
, Fuyuan Hu
, Fan Lyu
, Linyan Li
, Kaizhu Huang
:
Disentangling Semantic-to-Visual Confusion for Zero-Shot Learning. IEEE Trans. Multim. 24: 2828-2840 (2022) - [j84]Haotian Xu
, Xiaobo Jin
, Qiufeng Wang
, Amir Hussain
, Kaizhu Huang
:
Exploiting Attention-Consistency Loss For Spatial-Temporal Stream Action Recognition. ACM Trans. Multim. Comput. Commun. Appl. 18(2s): 119:1-119:15 (2022) - [c105]Kai Yao
, Penglei Gao
, Xi Yang
, Jie Sun
, Rui Zhang
, Kaizhu Huang
:
Outpainting by Queries. ECCV (23) 2022: 153-169 - [c104]Shuyi Qu, Kaizhu Huang, Qiufeng Wang, Bin Dong:
Rethinking Image Inpainting with Attention Feature Fusion. ICONIP (3) 2022: 693-704 - [c103]Yijie Hu, Bin Dong, Qiufeng Wang, Lei Ding, Xiaobo Jin, Kaizhu Huang:
Towards Accurate Alignment and Sufficient Context in Scene Text Recognition. ICONIP (3) 2022: 705-717 - [c102]Zhiqiang Gao
, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Chaoliang Zhong:
Certifying Better Robust Generalization for Unsupervised Domain Adaptation. ACM Multimedia 2022: 2399-2410 - [c101]Hao Chen, Linyan Li, Zhenping Xia, Fan Lyu, Liuqing Zhao, Kaizhu Huang, Wei Feng, Fuyuan Hu:
Harnessing Multi-Semantic Hypergraph for Few-Shot Learning. PRCV (1) 2022: 232-244 - [c100]Yuqi Wang, Wei Wang, Qi Chen, Kaizhu Huang, Anh Nguyen, Suparna De
:
Generalised Zero-shot Learning for Entailment-based Text Classification with External Knowledge. SMARTCOMP 2022: 19-25 - [i43]Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang, Yujie Geng:
Generalised Image Outpainting with U-Transformer. CoRR abs/2201.11403 (2022) - [i42]Chenru Jiang, Kaizhu Huang, Shufei Zhang, Xinheng Wang, Jimin Xiao, Zhenxing Niu, Amir Hussain:
Towards Simple and Accurate Human Pose Estimation with Stair Network. CoRR abs/2202.09115 (2022) - [i41]Zhuang Qian, Kaizhu Huang, Qiu-Feng Wang, Xu-Yao Zhang:
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies. CoRR abs/2203.14046 (2022) - [i40]Weiguang Zhao, Chaolong Yang, Jianan Ye, Yuyao Yan, Xi Yang, Kaizhu Huang:
From 2D Images to 3D Model: Weakly Supervised Multi-View Face Reconstruction with Deep Fusion. CoRR abs/2204.03842 (2022) - [i39]Zixian Su, Kai Yao, Xi Yang, Qiufeng Wang, Yuyao Yan, Kaizhu Huang:
Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation. CoRR abs/2205.11888 (2022) - [i38]Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang:
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting. CoRR abs/2205.13700 (2022) - [i37]Kai Yao, Penglei Gao, Xi Yang, Kaizhu Huang, Jie Sun, Rui Zhang:
Outpainting by Queries. CoRR abs/2207.05312 (2022) - [i36]Weiguang Zhao, Yuyao Yan, Chaolong Yang, Jianan Ye, Xi Yang, Kaizhu Huang:
Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization. CoRR abs/2207.11209 (2022) - [i35]Penglei Gao, Xi Yang, Kaizhu Huang, Rui Zhang, Ping Guo, John Yannis Goulermas:
EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous Variables. CoRR abs/2208.01913 (2022) - [i34]Zihan Ye, Guanyu Yang, Xiaobo Jin, Youfa Liu, Kaizhu Huang:
Rebalanced Zero-shot Learning. CoRR abs/2210.07031 (2022) - [i33]Zhaorui Tan, Zihan Ye, Xi Yang, Qiufeng Wang, Yuyao Yan, Kaizhu Huang:
Towards Better Text-Image Consistency in Text-to-Image Generation. CoRR abs/2210.15235 (2022) - [i32]Zixian Su, Kai Yao, Xi Yang, Qiufeng Wang, Jie Sun, Kaizhu Huang:
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation. CoRR abs/2211.14805 (2022) - [i31]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
:
Deep Learning for Brain Age Estimation: A Systematic Review. CoRR abs/2212.03868 (2022) - [i30]Chaolong Yang, Yuyao Yan, Weiguang Zhao, Jianan Ye, Xi Yang, Amir Hussain, Kaizhu Huang:
Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation. CoRR abs/2212.06682 (2022) - 2021
- [j83]Haji Gul, Adnan Amin
, Awais Adnan, Kaizhu Huang
:
A Systematic Analysis of Link Prediction in Complex Network. IEEE Access 9: 20531-20541 (2021) - [j82]Fangzhou Xiong, Zhi-Yong Liu, Kaizhu Huang
, Xu Yang, Hong Qiao:
State Primitive Learning to Overcome Catastrophic Forgetting in Robotics. Cogn. Comput. 13(2): 394-402 (2021) - [j81]Xin Lin, Guoqiang Zhong
, Kang Chen, Qingyang Li, Kaizhu Huang
:
Attention-Augmented Machine Memory. Cogn. Comput. 13(3): 751-760 (2021) - [j80]Haochuan Jiang
, Kaizhu Huang
, Rui Zhang, Amir Hussain:
Style-Neutralized Pattern Classification Based on Adversarially Trained Upgraded U-Net. Cogn. Comput. 13(4): 845-858 (2021) - [j79]Kai Yao
, Kaizhu Huang
, Jie Sun, Linzhi Jing, Dejian Huang, Curran Jude:
Scaffold-A549: A Benchmark 3D Fluorescence Image Dataset for Unsupervised Nuclei Segmentation. Cogn. Comput. 13(6): 1603-1608 (2021) - [j78]Summrina Kanwal
, Amir Hussain, Kaizhu Huang
:
Novel Artificial Immune Networks-based optimization of shallow machine learning (ML) classifiers. Expert Syst. Appl. 165: 113834 (2021) - [j77]Qi Chen, Wei Wang, Kaizhu Huang
, Suparna De
, Frans Coenen
:
Multi-modal generative adversarial networks for traffic event detection in smart cities. Expert Syst. Appl. 177: 114939 (2021) - [j76]Mengkai Ma, Qiu-Feng Wang, Shan Huang, Shen Huang, Yannis Goulermas, Kaizhu Huang
:
Residual attention-based multi-scale script identification in scene text images. Neurocomputing 421: 222-233 (2021) - [j75]Peng Zhao, Wenhua Zang, Bin Liu, Zhao Kang, Kun Bai, Kaizhu Huang
, Zenglin Xu:
Domain adaptation with feature and label adversarial networks. Neurocomputing 439: 294-301 (2021) - [j74]Guanyu Yang, Kaizhu Huang
, Rui Zhang, John Yannis Goulermas, Amir Hussain:
Coarse-grained generalized zero-shot learning with efficient self-focus mechanism. Neurocomputing 463: 400-410 (2021) - [j73]Xinheng Wang, Honghao Gao, Kaizhu Huang
:
Artificial Intelligence in Collaborative Computing. Mob. Networks Appl. 26(6): 2389-2391 (2021) - [j72]Shufei Zhang, Kaizhu Huang
, Zhuang Qian, Rui Zhang, Amir Hussain
:
Improving generative adversarial networks with simple latent distributions. Neural Comput. Appl. 33(20): 13193-13203 (2021) - [j71]Shufei Zhang
, Kaizhu Huang
, Jianke Zhu, Yang Liu:
Manifold adversarial training for supervised and semi-supervised learning. Neural Networks 140: 282-293 (2021) - [j70]Shuyi Qu, Kaizhu Huang
, Amir Hussain
, Yannis Goulermas:
A Multipath Fusion Strategy Based Single Shot Detector. Sensors 21(4): 1360 (2021) - [j69]Hang Dong
, Wei Wang
, Kaizhu Huang
, Frans Coenen
:
Automated Social Text Annotation With Joint Multilabel Attention Networks. IEEE Trans. Neural Networks Learn. Syst. 32(5): 2224-2238 (2021) - [c99]Liuqing Zhao, Fan Lyu, Fuyuan Hu, Kaizhu Huang, Fenglei Xu, Linyan Li:
Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing. BMVC 2021: 339 - [c98]Zhiqiang Gao
, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Chaoliang Zhong:
Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation. ICCV 2021: 8917-8926 - [c97]Jing Li, Qiu-Feng Wang, Rui Zhang, Kaizhu Huang
:
Mix-Up Augmentation for Oracle Character Recognition with Imbalanced Data Distribution. ICDAR (1) 2021: 237-251 - [c96]Shufei Zhang, Zhuang Qian, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi:
Towards Better Robust Generalization with Shift Consistency Regularization. ICML 2021: 12524-12534 - [c95]Maizhen Ning
, Qiu-Feng Wang, Kaizhu Huang
, Xiaowei Huang:
A Segment-Based Layout Aware Model for Information Extraction on Document Images. ICONIP (5) 2021: 757-765 - [c94]Ye Ma, Zixun Lan, Lu Zong, Kaizhu Huang:
Global-aware Beam Search for Neural Abstractive Summarization. NeurIPS 2021: 16545-16557 - [i29]Ping Guo, Kaizhu Huang, Zenglin Xu:
Partial Differential Equations is All You Need for Generating Neural Architectures - A Theory for Physical Artificial Intelligence Systems. CoRR abs/2103.08313 (2021) - [i28]Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang:
LGD-GCN: Local and Global Disentangled Graph Convolutional Networks. CoRR abs/2104.11893 (2021) - [i27]Yangfan Zhou, Kaizhu Huang, Cheng Cheng, Xuguang Wang, Xin Liu:
FastAdaBelief: Improving Convergence Rate for Belief-based Adaptive Optimizer by Strong Convexity. CoRR abs/2104.13790 (2021) - [i26]Zhicheng Cai, Kaizhu Huang, Chenglei Peng:
Reborn Mechanism: Rethinking the Negative Phase Information Flow in Convolutional Neural Network. CoRR abs/2106.07026 (2021) - [i25]Zihan Ye, Fuyuan Hu, Fan Lyu, Linyan Li, Kaizhu Huang:
Disentangling Semantic-to-visual Confusion for Zero-shot Learning. CoRR abs/2106.08605 (2021) - [i24]Shuyi Qu, Zhenxing Niu, Kaizhu Huang, Jianke Zhu, Matan Protter, Gadi Zimerman, Yinghui Xu:
Structure First Detail Next: Image Inpainting with Pyramid Generator. CoRR abs/2106.08905 (2021) - [i23]Zhuang Qian, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi:
Improving Model Robustness with Latent Distribution Locally and Globally. CoRR abs/2107.04401 (2021) - [i22]Kai Yao, Kaizhu Huang, Jie Sun, Curran Jude:
AD-GAN: End-to-end Unsupervised Nuclei Segmentation with Aligned Disentangling Training. CoRR abs/2107.11022 (2021) - [i21]Liuqing Zhao, Fan Lyu, Fuyuan Hu, Kaizhu Huang, Fenglei Xu, Linyan Li:
Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing. CoRR abs/2110.11159 (2021) - [i20]Kai Yao, Kaizhu Huang, Jie Sun, Amir Hussain, Curran Jude:
PointNu-Net: Simultaneous Multi-tissue Histology Nuclei Segmentation and Classification in the Clinical Wild. CoRR abs/2111.01557 (2021) - 2020
- [j68]Ying Ma
, Guoqiang Zhong, Wen Liu, Jinxuan Sun, Kaizhu Huang
:
Neural CAPTCHA networks. Appl. Soft Comput. 97(Part): 106769 (2020) - [j67]Guoqiang Zhong
, Wencong Jiao, Wei Gao, Kaizhu Huang
:
Automatic Design of Deep Networks with Neural Blocks. Cogn. Comput. 12(1): 1-12 (2020) - [j66]Fiseha B. Tesema, Hong Wu
, Mingjian Chen, Junpeng Lin, William Zhu
, Kaizhu Huang
:
Hybrid channel based pedestrian detection. Neurocomputing 389: 1-8 (2020) - [j65]Zhenyu Fang
, Jinchang Ren
, Stephen Marshall
, Huimin Zhao, Zheng Wang, Kaizhu Huang
, Bing Xiao:
Triple loss for hard face detection. Neurocomputing 398: 20-30 (2020) - [j64]Qiu-Feng Wang
, Kai Yao
, Rui Zhang, Amir Hussain, Kaizhu Huang
:
Improving deep neural network performance by integrating kernelized Min-Max objective. Neurocomputing 408: 82-90 (2020) - [j63]Hang Dong
, Wei Wang
, Frans Coenen
, Kaizhu Huang
:
Knowledge base enrichment by relation learning from social tagging data. Inf. Sci. 526: 203-220 (2020) - [j62]Xinheng Wang, Muddesar Iqbal
, Honghao Gao, Kaizhu Huang
, Andrei Tchernykh
:
Editorial: Collaborative Computing for Data-Driven Systems. Mob. Networks Appl. 25(4): 1348-1350 (2020) - [j61]Jinxuan Sun
, Guoqiang Zhong
, Yang Chen, Yongbin Liu
, Tao Li, Kaizhu Huang
:
Generative adversarial networks with mixture of t-distributions noise for diverse image generation. Neural Networks 122: 374-381 (2020) - [j60]Guoqiang Zhong
, Wei Gao, Yongbin Liu
, Youzhao Yang, Da-Han Wang, Kaizhu Huang
:
Generative adversarial networks with decoder-encoder output noises. Neural Networks 127: 19-28 (2020) - [j59]Kaizhu Huang
, Shufei Zhang
, Rui Zhang, Amir Hussain:
Novel deep neural network based pattern field classification architectures. Neural Networks 127: 82-95 (2020) - [j58]Fangzhou Xiong
, Zhiyong Liu, Kaizhu Huang
, Xu Yang, Hong Qiao, Amir Hussain
:
Encoding primitives generation policy learning for robotic arm to overcome catastrophic forgetting in sequential multi-tasks learning. Neural Networks 129: 163-173 (2020) - [j57]Zhuang Qian, Kaizhu Huang
, Qiu-Feng Wang
, Jimin Xiao, Rui Zhang:
Generative adversarial classifier for handwriting characters super-resolution. Pattern Recognit. 107: 107453 (2020) - [j56]Li-Na Wang, Wenxue Liu, Xiang Liu
, Guoqiang Zhong
, Partha Pratim Roy, Junyu Dong, Kaizhu Huang
:
Compressing Deep Networks by Neuron Agglomerative Clustering. Sensors 20(21): 6033 (2020) - [j55]Dingyuan Zheng
, Jimin Xiao, Kaizhu Huang
, Yao Zhao:
Segmentation mask guided end-to-end person search. Signal Process. Image Commun. 86: 115876 (2020) - [j54]Yanchun Xie
, Jimin Xiao
, Kaizhu Huang
, Jeyarajan Thiyagalingam
, Yao Zhao
:
Correlation Filter Selection for Visual Tracking Using Reinforcement Learning. IEEE Trans. Circuits Syst. Video Technol. 30(1): 192-204 (2020) - [c93]Jiezhu Cheng, Kaizhu Huang, Zibin Zheng:
Towards Better Forecasting by Fusing Near and Distant Future Visions. AAAI 2020: 3593-3600 - [c92]Bingfeng Zhang, Jimin Xiao, Yunchao Wei, Mingjie Sun, Kaizhu Huang:
Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach. AAAI 2020: 12765-12772 - [c91]Liming Shi, Limin Yu, Kaizhu Huang
, Xu Zhu, Zhi Wang, Xiaofei Li, Wenwu Wang, Xinheng Wang:
A Covert Ultrasonic Phone-to-Phone Communication Scheme. CollaborateCom (1) 2020: 36-48 - [c90]Yanchun Xie, Jimin Xiao, Mingjie Sun, Chao Yao, Kaizhu Huang
:
Feature Representation Matters: End-to-End Learning for Reference-Based Image Super-Resolution. ECCV (4) 2020: 230-245 - [c89]Jing Li, Qiu-Feng Wang, Rui Zhang, Kaizhu Huang
:
Adversarial Rectification Network for Scene Text Regularization. ICONIP (2) 2020: 152-163 - [c88]Shaoning Pang
, Tao Ban, Youki Kadobayashi, Jungsuk Song, Kaizhu Huang
, Geongsen Poh, Iqbal Gondal, Kitsuchart Pasupa, Fadi A. Aloul:
CDMC'19 - The 10th International Cybersecurity Data Mining Competition. ICONIP (2) 2020: 235-245 - [c87]Yanan Wang, Guoqiang Zhong, Yuxu Mao, Kaizhu Huang
:
Feature Redirection Network for Few-Shot Classification. ICONIP (4) 2020: 418-425 - [c86]Yuxu Mao, Guoqiang Zhong, Haizhen Wang, Kaizhu Huang
:
MCRN: A New Content-Based Music Classification and Recommendation Network. ICONIP (4) 2020: 771-779 - [c85]Haotian Xu, Xiaobo Jin, Qiufeng Wang, Kaizhu Huang
:
Multi-scale Attention Consistency for Multi-label Image Classification. ICONIP (4) 2020: 815-823 - [c84]Kangshi Wang, Dou Hong, Jieming Ma, Ka Lok Man, Kaizhu Huang
, Xiaowei Huang:
Maximum Power Point Tracking of Photovoltaic Systems Using Deep Q-networks. INDIN 2020: 100-103 - [c83]Qi Chen, Wei Wang, Kaizhu Huang
, Suparna De
, Frans Coenen
:
Adversarial Domain Adaptation for Crisis Data Classification on Social Media. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2020: 282-287 - [c82]Chenru Jiang, Kaizhu Huang
, Shufei Zhang, Xinheng Wang, Jimin Xiao:
Pay Attention Selectively and Comprehensively: Pyramid Gating Network for Human Pose Estimation without Pre-training. ACM Multimedia 2020: 2364-2371 - [c81]Guanyu Yang, Kaizhu Huang
, Rui Zhang, John Yannis Goulermas, Amir Hussain
:
Inductive Generalized Zero-Shot Learning with Adversarial Relation Network. ECML/PKDD (2) 2020: 724-739 - [c80]Qi Chen, Wei Wang, Kaizhu Huang
, Suparna De
, Frans Coenen
:
Multi-modal Adversarial Training for Crisis-related Data Classification on Social Media. SMARTCOMP 2020: 232-237 - [e4]Jinchang Ren
, Amir Hussain
, Huimin Zhao
, Kaizhu Huang
, Jiangbin Zheng
, Jun Cai
, Rongjun Chen
, Yinyin Xiao
:
Advances in Brain Inspired Cognitive Systems - 10th International Conference, BICS 2019, Guangzhou, China, July 13-14, 2019, Proceedings. Lecture Notes in Computer Science 11691, Springer 2020, ISBN 978-3-030-39430-1 [contents] - [i19]Shufei Zhang, Zhuang Qian, Kaizhu Huang, Jimin Xiao, Yuan He:
Robust Generative Adversarial Network. CoRR abs/2004.13344 (2020) - [i18]Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang:
Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction. CoRR abs/2011.13174 (2020)
2010 – 2019
- 2019
- [j53]Yupeng Cao, Jing Li, Qiu-Feng Wang, Kaizhu Huang, Rui Zhang:
Improving Script Identification by Integrating Text Recognition Information. Aust. J. Intell. Inf. Process. Syst. 16(3): 67-75 (2019) - [j52]Xiao-Bo Jin, Guo-Sen Xie
, Kaizhu Huang
, Heling Cao, Qiu-Feng Wang:
Discriminant Zero-Shot Learning with Center Loss. Cogn. Comput. 11(4): 503-512 (2019) - [j51]Xi Yang, Kaizhu Huang
, Rui Zhang, John Yannis Goulermas:
A Novel Deep Density Model for Unsupervised Learning. Cogn. Comput. 11(6): 778-788 (2019) - [j50]Zhi-Yong Liu, Kaizhu Huang
, Xu Yang
, Cheng-Lin Liu:
Special issue on advances in graph algorithm and applications. Neurocomputing 336: 1-2 (2019) - [j49]Lu Zhang, Zhiyong Liu, Shifeng Zhang, Xu Yang
, Hong Qiao
, Kaizhu Huang
, Amir Hussain
:
Cross-modality interactive attention network for multispectral pedestrian detection. Inf. Fusion 50: 20-29 (2019) - [j48]Jimin Xiao, Yanchun Xie, Tammam Tillo, Kaizhu Huang
, Yunchao Wei, Jiashi Feng:
IAN: The Individual Aggregation Network for Person Search. Pattern Recognit. 87: 332-340 (2019) - [j47]Zhiqiang Gao
, Dawei Liu, Kaizhu Huang
, Yi Huang
:
Context-Aware Human Activity and Smartphone Position-Mining with Motion Sensors. Remote. Sens. 11(21): 2531 (2019) - [j46]Xiao-Bo Jin
, Xu-Yao Zhang
, Kaizhu Huang
, Guang-Gang Geng
:
Stochastic Conjugate Gradient Algorithm With Variance Reduction. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1360-1369 (2019) - [j45]Fangzhou Xiong
, Biao Sun
, Xu Yang
, Hong Qiao
, Kaizhu Huang
, Amir Hussain
, Zhi-Yong Liu
:
Guided Policy Search for Sequential Multitask Learning. IEEE Trans. Syst. Man Cybern. Syst. 49(1): 216-226 (2019) - [c79]Yupeng Cao, Qiu-Feng Wang, Kaizhu Huang
, Rui Zhang:
Improving Image Caption Performance with Linguistic Context. BICS 2019: 3-11 - [c78]Guanyu Yang, Kaizhu Huang
, Rui Zhang, John Yannis Goulermas, Amir Hussain:
Self-focus Deep Embedding Model for Coarse-Grained Zero-Shot Classification. BICS 2019: 12-22 - [c77]Guoqiang Zhong, Xin Lin, Kang Chen, Qingyang Li, Kaizhu Huang
:
Long Short-Term Attention. BICS 2019: 45-54 - [c76]Jinlong Hong, Kaizhu Huang
, Hai-Ning Liang
, Xinheng Wang, Rui Zhang:
Fine-Grained Image Classification with Object-Part Model. BICS 2019: 233-243 - [c75]Yuanye Fang, Rui Zhang, Qiu-Feng Wang, Kaizhu Huang
:
Action Recognition in Videos with Temporal Segments Fusions. BICS 2019: 244-253 - [c74]Rami Ahmed, Kia Dashtipour, Mandar Gogate
, Ali Raza, Rui Zhang, Kaizhu Huang
, Ahmad Y. A. Hawalah, Ahsan Adeel, Amir Hussain:
Offline Arabic Handwriting Recognition Using Deep Machine Learning: A Review of Recent Advances. BICS 2019: 457-468 - [c73]Zhejian Zhang, Rui Zhang, Qiu-Feng Wang, Kaizhu Huang
:
Improving Disentanglement-Based Image-to-Image Translation with Feature Joint Block Fusion. BICS 2019: 540-549 - [c72]Xiao-Bo Jin, Guo-Sen Xie
, Kaizhu Huang
, Jianyu Miao, Qiufeng Wang:
Beyond Attributes: High-Order Attribute Features for Zero-Shot Learning. ICCV Workshops 2019: 2953-2962 - [c71]Le Zhou
, Qiu-Feng Wang, Kaizhu Huang
, Cheng-Hung Lo
:
An Interactive and Generative Approach for Chinese Shanshui Painting Document. ICDAR 2019: 819-824 - [c70]Mandar Gogate
, Amir Hussain, Kaizhu Huang
:
Random Features and Random Neurons for Brain-Inspired Big Data Analytics. ICDM Workshops 2019: 522-529 - [c69]Xi Yang, Yuyao Yan, Kaizhu Huang
, Rui Zhang:
VSB-DVM: An End-to-End Bayesian Nonparametric Generalization of Deep Variational Mixture Model. ICDM 2019: 688-697 - [c68]Shufei Zhang, Kaizhu Huang
, Rui Zhang, Amir Hussain:
Generalized Adversarial Training in Riemannian Space. ICDM 2019: 826-835 - [c67]Lirong He, Ziyi Guo, Kaizhu Huang
, Zenglin Xu:
Deep Minimax Probability Machine. ICDM Workshops 2019: 869-876 - [c66]Fangzhou Xiong, Zhiyong Liu, Kaizhu Huang
, Xu Yang, Amir Hussain:
Primitives Generation Policy Learning without Catastrophic Forgetting for Robotic Manipulation. ICDM Workshops 2019: 890-897 - [c65]Shufei Zhang, Zhuang Qian, Kaizhu Huang
, Rui Zhang, Amir Hussain:
SimpleGAN Stabilizing Generative Adversarial Networks with Simple Distributions. ICDM Workshops 2019: 905-910 - [c64]Li-Na Wang, Guoqiang Zhong, Shoujun Yan, Junyu Dong, Kaizhu Huang
:
Enhanced LSTM with Batch Normalization. ICONIP (1) 2019: 746-755 - [c63]Shuyi Qu, Kaizhu Huang
, Amir Hussain, Yannis Goulermas:
MPSSD: Multi-Path Fusion Single Shot Detector. IJCNN 2019: 1-6 - [c62]Zhiqiang Gao
, Dawei Liu, Kaizhu Huang
, Yi Huang
:
Mining human activity and smartphone position from motion sensors. IUI Companion 2019: 17-18 - [c61]Hang Dong
, Wei Wang, Kaizhu Huang, Frans Coenen
:
Joint Multi-Label Attention Networks for Social Text Annotation. NAACL-HLT (1) 2019: 1348-1354 - [i17]Zhuang Qian, Kaizhu Huang, Qiufeng Wang, Jimin Xiao, Rui Zhang:
Generative Adversarial Classifier for Handwriting Characters Super-Resolution. CoRR abs/1901.06199 (2019) - [i16]Dingyuan Zheng, Jimin Xiao, Kaizhu Huang, Yao Zhao:
Segmentation Mask Guided End-to-End Person Search. CoRR abs/1908.10179 (2019) - [i15]Bingfeng Zhang, Jimin Xiao, Yunchao Wei, Mingjie Sun, Kaizhu Huang:
Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach. CoRR abs/1911.08039 (2019) - [i14]Lirong He, Ziyi Guo, Kaizhu Huang, Zenglin Xu:
Deep Minimax Probability Machine. CoRR abs/1911.08723 (2019) - [i13]Jiezhu Cheng, Kaizhu Huang, Zibin Zheng:
Towards Better Forecasting by Fusing Near and Distant Future Visions. CoRR abs/1912.05122 (2019) - [i12]Fiseha B. Tesema, Hong Wu, Mingjian Chen, Junpeng Lin, William Zhu, Kaizhu Huang:
Hybrid Channel Based Pedestrian Detection. CoRR abs/1912.12431 (2019) - 2018
- [j44]Kaizhu Huang
, Rui Zhang, Xiaobo Jin, Amir Hussain
:
Special Issue Editorial: Cognitively-Inspired Computing for Knowledge Discovery. Cogn. Comput. 10(1): 1-2 (2018) - [j43]Shufei Zhang, Kaizhu Huang
, Rui Zhang, Amir Hussain
:
Learning from Few Samples with Memory Network. Cogn. Comput. 10(1): 15-22 (2018) - [j42]Guoqiang Zhong
, Shoujun Yan, Kaizhu Huang
, Yajuan Cai, Junyu Dong:
Reducing and Stretching Deep Convolutional Activation Features for Accurate Image Classification. Cogn. Comput. 10(1): 179-186 (2018) - [j41]Xiao-Bo Jin, Guo-Sen Xie
, Kaizhu Huang
, Amir Hussain
:
Accelerating Infinite Ensemble of Clustering by Pivot Features. Cogn. Comput. 10(6): 1042-1050 (2018) - [j40]Summrina Kanwal Wajid
, Amir Hussain
, Kaizhu Huang
:
Three-Dimensional Local Energy-Based Shape Histogram (3D-LESH): A Novel Feature Extraction Technique. Expert Syst. Appl. 112: 388-400 (2018) - [j39]Chenru Jiang, Jimin Xiao, Yanchun Xie, Tammam Tillo, Kaizhu Huang
:
Siamese network ensemble for visual tracking. Neurocomputing 275: 2892-2903 (2018) - [j38]Xi Yang
, Kaizhu Huang
, Rui Zhang, John Yannis Goulermas, Amir Hussain
:
A new two-layer mixture of factor analyzers with joint factor loading model for the classification of small dataset problems. Neurocomputing 312: 352-363 (2018) - [j37]Xiao-Bo Jin, Guang-Gang Geng
, Guo-Sen Xie
, Kaizhu Huang
:
Approximately optimizing NDCG using pair-wise loss. Inf. Sci. 453: 50-65 (2018) - [j36]Jianyuan Sun
, Guoqiang Zhong
, Kaizhu Huang
, Junyu Dong:
Banzhaf random forests: Cooperative game theory based random forests with consistency. Neural Networks 106: 20-29 (2018) - [j35]Xi Yang
, Kaizhu Huang
, Rui Zhang, Amir Hussain
:
Learning Latent Features With Infinite Nonnegative Binary Matrix Trifactorization. IEEE Trans. Emerg. Top. Comput. Intell. 2(6): 450-463 (2018) - [j34]Changzhi Luo, Zhetao Li, Kaizhu Huang
, Jiashi Feng, Meng Wang
:
Zero-Shot Learning via Attribute Regression and Class Prototype Rectification. IEEE Trans. Image Process. 27(2): 637-648 (2018) - [c60]Haochuan Jiang, Kaizhu Huang
, Rui Zhang, Amir Hussain
:
Style Neutralization Generative Adversarial Classifier. BICS 2018: 3-13 - [c59]Kai Yao
, Kaizhu Huang
, Rui Zhang, Amir Hussain:
Improving Deep Neural Network Performance with Kernelized Min-Max Objective. ICONIP (1) 2018: 182-191 - [c58]Haochuan Jiang, Guanyu Yang, Kaizhu Huang
, Rui Zhang:
W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks. ICONIP (5) 2018: 483-493 - [i11]Shufei Zhang, Kaizhu Huang, Jianke Zhu, Yang Liu:
Manifold Adversarial Learning. CoRR abs/1807.05832 (2018) - [i10]Yanchun Xie, Jimin Xiao, Kaizhu Huang, Jeyarajan Thiyagalingam, Yao Zhao:
Correlation Filter Selection for Visual Tracking Using Reinforcement Learning. CoRR abs/1811.03196 (2018) - [i9]Xiao-Bo Jin, Kaizhu Huang, Jianyu Miao:
Beyond Attributes: Adversarial Erasing Embedding Network for Zero-shot Learning. CoRR abs/1811.07626 (2018) - 2017
- [j33]Adnan Amin
, Sajid Anwar
, Awais Adnan, Muhammad Nawaz, Khalid Alawfi, Amir Hussain
, Kaizhu Huang
:
Customer churn prediction in the telecommunication sector using a rough set approach. Neurocomputing 237: 242-254 (2017) - [j32]Xi Yang, Kaizhu Huang
, John Yannis Goulermas, Rui Zhang:
Joint Learning of Unsupervised Dimensionality Reduction and Gaussian Mixture Model. Neural Process. Lett. 45(3): 791-806 (2017) - [j31]Jieming Ma
, Haochuan Jiang, Kaizhu Huang
, Ziqiang Bi
, Ka Lok Man:
Novel Field-Support Vector Regression-Based Soft Sensor for Accurate Estimation of Solar Irradiance. IEEE Trans. Circuits Syst. I Regul. Pap. 64-I(12): 3183-3191 (2017) - [j30]Kaizhu Huang
, Haochuan Jiang
, Xu-Yao Zhang:
Field Support Vector Machines. IEEE Trans. Emerg. Top. Comput. Intell. 1(6): 454-463 (2017) - [c57]Elahe Naserian
, Xinheng Wang
, Xiaolong Xu, Yuning Dong, Nektarios Georgalas, Kaizhu Huang
:
Integrated Discovery of Location Prediction Rules in Mobile Environment. DASC/PiCom/DataCom/CyberSciTech 2017: 1017-1024 - [c56]Haochuan Jiang, Kaizhu Huang
, Rui Zhang:
Field Support Vector Regression. ICONIP (1) 2017: 699-708 - [c55]Xi Yang, Kaizhu Huang
, Rui Zhang:
Deep Mixtures of Factor Analyzers with Common Loadings: A Novel Deep Generative Approach to Clustering. ICONIP (1) 2017: 709-719 - [c54]Shufei Zhang, Kaizhu Huang
, Rui Zhang, Amir Hussain
:
Improve Deep Learning with Unsupervised Objective. ICONIP (1) 2017: 720-728 - [c53]Kaizhu Huang, Haochuan Jiang, Xu-Yao Zhang:
Field support vector machines. IML 2017: 72:1-72:12 - [i8]Jimin Xiao, Yanchun Xie, Tammam Tillo, Kaizhu Huang, Yunchao Wei, Jiashi Feng:
IAN: The Individual Aggregation Network for Person Search. CoRR abs/1705.05552 (2017) - [i7]Xiao-Bo Jin, Xu-Yao Zhang, Kaizhu Huang, Guang-Gang Geng:
Stochastic Conjugate Gradient Algorithm with Variance Reduction. CoRR abs/1710.09979 (2017) - [i6]Kyeong Soo Kim, Sanghyuk Lee, Kaizhu Huang:
A Scalable Deep Neural Network Architecture for Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi Fingerprinting. CoRR abs/1712.01990 (2017) - 2016
- [j29]Tiew On Ting, Jieming Ma
, Kyeong Soo Kim, Kaizhu Huang
:
Multicores and GPU utilization in parallel swarm algorithm for parameter estimation of photovoltaic cell model. Appl. Soft Comput. 40: 58-63 (2016) - [j28]Yao Lu, Kaizhu Huang
, Cheng-Lin Liu:
A fast projected fixed-point algorithm for large graph matching. Pattern Recognit. 60: 971-982 (2016) - [c52]Summrina Kanwal Wajid
, Amir Hussain
, Kaizhu Huang
, Wadii Boulila
:
Lung cancer detection using Local Energy-based Shape Histogram (LESH) feature extraction and cognitive machine learning techniques. ICCI*CC 2016: 359-366 - [c51]Summrina Kanwal Wajid
, Amir Hussain
, Bin Luo
, Kaizhu Huang
:
An Investigation of Machine Learning and Neural Computation Paradigms in the Design of Clinical Decision Support Systems (CDSSs). BICS 2016: 58-67 - [c50]Xi Yang, Kaizhu Huang
, Rui Zhang, Amir Hussain
:
Learning Latent Features with Infinite Non-negative Binary Matrix Tri-factorization. ICONIP (1) 2016: 587-596 - [c49]Shufei Zhang, Kaizhu Huang
:
Learning from Few Samples with Memory Network. ICONIP (1) 2016: 606-614 - [c48]Xiao-Bo Jin, Guang-Gang Geng
, Kaizhu Huang
, Zhiwei Yan:
Statistical Entity Ranking with Domain Knowledge. NLPCC/ICCPOL 2016: 811-818 - [i5]Xiao-Bo Jin, Guang-Gang Geng, Kaizhu Huang, Zhiwei Yan:
Ranking Entity Based on Both of Word Frequency and Word Sematic Features. CoRR abs/1608.01068 (2016) - 2015
- [j27]Xu-Cheng Yin
, Kaizhu Huang
, Hong-Wei Hao:
DE2: Dynamic ensemble of ensembles for learning nonstationary data. Neurocomputing 165: 14-22 (2015) - [j26]Haiqin Yang
, Kaizhu Huang
, Irwin King
, Michael R. Lyu:
Maximum margin semi-supervised learning with irrelevant data. Neural Networks 70: 90-102 (2015) - [j25]Kaizhu Huang
, Rui Zhang, Xu-Cheng Yin
:
Learning Imbalanced Classifiers Locally and Globally with One-Side Probability Machine. Neural Process. Lett. 41(3): 311-323 (2015) - [j24]Yan-Ming Zhang, Kaizhu Huang
, Guang-Gang Geng
, Cheng-Lin Liu:
MTC: A Fast and Robust Graph-Based Transductive Learning Method. IEEE Trans. Neural Networks Learn. Syst. 26(9): 1979-1991 (2015) - [c47]Chunchuan Lyu, Kaizhu Huang
, Hai-Ning Liang
:
A Unified Gradient Regularization Family for Adversarial Examples. ICDM 2015: 301-309 - [c46]Yajuan Cai, Guoqiang Zhong, Yuchen Zheng
, Kaizhu Huang
, Junyu Dong
:
Is DeCAF Good Enough for Accurate Image Classification? ICONIP (2) 2015: 354-363 - [c45]Xi Yang, Kaizhu Huang
, Rui Zhang, John Yannis Goulermas:
Two-layer Mixture of Factor Analyzers with Joint Factor Loading. IJCNN 2015: 1-8 - [c44]Kaizhu Huang
, Haiqin Yang, Irwin King
, Michael R. Lyu:
WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications. WSDM 2015: 425-426 - [p1]T. O. Ting, Xin-She Yang, Shi Cheng, Kaizhu Huang
:
Hybrid Metaheuristic Algorithms: Past, Present, and Future. Recent Advances in Swarm Intelligence and Evolutionary Computation 2015: 71-83 - [i4]Chunchuan Lyu, Kaizhu Huang, Hai-Ning Liang:
A Unified Gradient Regularization Family for Adversarial Examples. CoRR abs/1511.06385 (2015) - 2014
- [j23]Bo Xu, Kaizhu Huang
, Irwin King
, Cheng-Lin Liu, Jun Sun, Satoshi Naoi:
Graphical lasso quadratic discriminant function and its application to character recognition. Neurocomputing 129: 33-40 (2014) - [j22]Xu-Cheng Yin
, Kaizhu Huang
, Hong-Wei Hao, Khalid Iqbal, Zhi-Bin Wang:
A novel classifier ensemble method with sparsity and diversity. Neurocomputing 134: 214-221 (2014) - [j21]Xu-Cheng Yin
, Kaizhu Huang
, Chun Yang, Hong-Wei Hao:
Convex ensemble learning with sparsity and diversity. Inf. Fusion 20: 49-59 (2014) - [j20]Xu-Cheng Yin
, Xuwang Yin, Kaizhu Huang
, Hong-Wei Hao:
Robust Text Detection in Natural Scene Images. IEEE Trans. Pattern Anal. Mach. Intell. 36(5): 970-983 (2014) - [j19]Xu-Yao Zhang, Peipei Yang, Yan-Ming Zhang, Kaizhu Huang
, Cheng-Lin Liu:
Combination of Classification and Clustering Results with Label Propagation. IEEE Signal Process. Lett. 21(5): 610-614 (2014) - [j18]Yan-Ming Zhang, Kaizhu Huang
, Xinwen Hou, Cheng-Lin Liu:
Learning Locality Preserving Graph from Data. IEEE Trans. Cybern. 44(11): 2088-2098 (2014) - [c43]Xi Yang, Kaizhu Huang
, Rui Zhang:
Unsupervised Dimensionality Reduction for Gaussian Mixture Model. ICONIP (2) 2014: 84-92 - [c42]Chun Yang, Xu-Cheng Yin, Kaizhu Huang
:
Text Categorization with Diversity Random Forests. ICONIP (3) 2014: 317-324 - [c41]Rui Zhang, Shufei Zhang, Kaizhu Huang
:
A Novel Hybrid Approach for Combining Deep and Traditional Neural Networks. ICONIP (3) 2014: 349-356 - [e3]Chu Kiong Loo, Keem Siah Yap, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang:
Neural Information Processing - 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part I. Lecture Notes in Computer Science 8834, Springer 2014, ISBN 978-3-319-12636-4 [contents] - [e2]Chu Kiong Loo, Keem Siah Yap
, Kok Wai Wong, Andrew Teoh Beng Jin
, Kaizhu Huang
:
Neural Information Processing - 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part II. Lecture Notes in Computer Science 8835, Springer 2014, ISBN 978-3-319-12639-5 [contents] - [e1]Chu Kiong Loo, Keem Siah Yap, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang:
Neural Information Processing - 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part III. Lecture Notes in Computer Science 8836, Springer 2014, ISBN 978-3-319-12642-5 [contents] - 2013
- [j17]Peipei Yang, Kaizhu Huang
, Cheng-Lin Liu:
Geometry preserving multi-task metric learning. Mach. Learn. 92(1): 133-175 (2013) - [j16]Peipei Yang, Kaizhu Huang
, Cheng-Lin Liu:
A multi-task framework for metric learning with common subspace. Neural Comput. Appl. 22(7-8): 1337-1347 (2013) - [c40]Kamran Farooq, Peipei Yang, Amir Hussain
, Kaizhu Huang
, Calum A. MacRae, Chris Eckl, Warner V. Slack:
Efficient clinical decision making by learning from missing clinical data. CICARE 2013: 27-33 - [c39]Xu-Yao Zhang, Kaizhu Huang
, Cheng-Lin Liu:
Feature Transformation with Class Conditional Decorrelation. ICDM 2013: 887-896 - [c38]Xu-Cheng Yin
, Kaizhu Huang
, Hong-Wei Hao:
Dynamic Ensemble of Ensembles in Nonstationary Environments. ICONIP (2) 2013: 76-83 - [c37]Rui Zhang, Kaizhu Huang
:
One-Side Probability Machine: Learning Imbalanced Classifiers Locally and Globally. ICONIP (2) 2013: 140-147 - [c36]Yan-Ming Zhang, Kaizhu Huang
, Guanggang Geng
, Cheng-Lin Liu:
Fast kNN Graph Construction with Locality Sensitive Hashing. ECML/PKDD (2) 2013: 660-674 - [c35]Xu-Cheng Yin
, Xuwang Yin, Kaizhu Huang
, Hong-Wei Hao:
Accurate and robust text detection: a step-in for text retrieval in natural scene images. SIGIR 2013: 1091-1092 - [i3]Xu-Cheng Yin, Xuwang Yin, Kaizhu Huang:
Robust Text Detection in Natural Scene Images. CoRR abs/1301.2628 (2013) - 2012
- [j15]Guoqiang Zhong, Kaizhu Huang
, Cheng-Lin Liu:
Joint learning of error-correcting output codes and dichotomizers from data. Neural Comput. Appl. 21(4): 715-724 (2012) - [j14]Bo Xu, Kaizhu Huang
, Cheng-Lin Liu:
Maxi-Min discriminant analysis via online learning. Neural Networks 34: 56-64 (2012) - [c34]Xu-Cheng Yin
, Kaizhu Huang
, Hong-Wei Hao, Khalid Iqbal, Zhi-Bin Wang:
Classifier Ensemble Using a Heuristic Learning with Sparsity and Diversity. ICONIP (2) 2012: 100-107 - [c33]Yinglu Liu, Xu-Yao Zhang, Kaizhu Huang
, Xinwen Hou, Cheng-Lin Liu:
Multiple Outlooks Learning with Support Vector Machines. ICONIP (3) 2012: 116-124 - [c32]Peipei Yang, Xu-Yao Zhang, Kaizhu Huang
, Cheng-Lin Liu:
Manifold Regularized Multi-Task Learning. ICONIP (3) 2012: 528-536 - [c31]Peipei Yang, Kaizhu Huang
, Cheng-Lin Liu:
Geometry Preserving Multi-task Metric Learning. ECML/PKDD (1) 2012: 648-664 - [i2]Kaizhu Huang, Rong Jin, Zenglin Xu, Cheng-Lin Liu:
Robust Metric Learning by Smooth Optimization. CoRR abs/1203.3461 (2012) - [i1]Yao Lu, Kaizhu Huang, Cheng-Lin Liu:
A Fast Projected Fixed-Point Algorithm for Large Graph Matching. CoRR abs/1207.1114 (2012) - 2011
- [j13]Kaizhu Huang
, Yiming Ying
, Colin Campbell:
Generalized sparse metric learning with relative comparisons. Knowl. Inf. Syst. 28(1): 25-45 (2011) - [j12]Zhi-Bin Wang, Hong-Wei Hao, Xu-Cheng Yin
, Qian Liu, Kaizhu Huang
:
Exchange rate prediction with non-numerical information. Neural Comput. Appl. 20(7): 945-954 (2011) - [j11]Xu-Cheng Yin
, Qian Liu, Hong-Wei Hao, Zhi-Bin Wang, Kaizhu Huang
:
FMI image based rock structure classification using classifier combination. Neural Comput. Appl. 20(7): 955-963 (2011) - [j10]Bo Xie, Yang Mu, Dacheng Tao, Kaizhu Huang:
m-SNE: Multiview Stochastic Neighbor Embedding. IEEE Trans. Syst. Man Cybern. Part B 41(4): 1088-1096 (2011) - [c30]Yan-Ming Zhang, Kaizhu Huang
, Cheng-Lin Liu:
Fast and Robust Graph-based Transductive Learning via Minimum Tree Cut. ICDM 2011: 952-961 - [c29]Guoqiang Zhong, Kaizhu Huang
, Cheng-Lin Liu:
Low Rank Metric Learning with Manifold Regularization. ICDM 2011: 1266-1271 - [c28]Peipei Yang, Kaizhu Huang
, Cheng-Lin Liu:
Multi-Task Low-Rank Metric Learning Based on Common Subspace. ICONIP (2) 2011: 151-159 - [c27]Bo Xu, Kaizhu Huang
, Irwin King
, Cheng-Lin Liu, Jun Sun, Satoshi Naoi:
Graphical Lasso Quadratic Discriminant Function for Character Recognition. ICONIP (3) 2011: 747-755 - [c26]Xu-Yao Zhang, Kaizhu Huang
, Cheng-Lin Liu:
Pattern Field Classification with Style Normalized Transformation. IJCAI 2011: 1621-1626 - 2010
- [j9]Kaizhu Huang
, Danian Zheng, Jun Sun, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi:
Sparse learning for support vector classification. Pattern Recognit. Lett. 31(13): 1944-1951 (2010) - [c25]Bo Xu, Kaizhu Huang
, Cheng-Lin Liu:
Similar Handwritten Chinese Characters Recognition by Critical Region Selection Based on Average Symmetric Uncertainty. ICFHR 2010: 527-532 - [c24]Hong-Wei Hao, Qian Liu, Xu-Cheng Yin, Zhi-Bin Wang, Kaizhu Huang:
Ellipse Detection with an Improved Randomized Hough Transform for Intellectual Phacoemulsification Surgery Systems. ICIP 2010: 1449-1452 - [c23]Guoqiang Zhong, Kaizhu Huang
, Cheng-Lin Liu:
Learning ECOC and Dichotomizers Jointly from Data. ICONIP (1) 2010: 494-502 - [c22]Bo Xu, Kaizhu Huang
, Cheng-Lin Liu:
Dimensionality Reduction by Minimal Distance Maximization. ICPR 2010: 569-572 - [c21]Kaizhu Huang, Rong Jin, Zenglin Xu, Cheng-Lin Liu:
Robust Metric Learning by Smooth Optimization. UAI 2010: 244-251
2000 – 2009
- 2009
- [j8]Yiming Ying
, Kaizhu Huang
, Colin Campbell:
Enhanced protein fold recognition through a novel data integration approach. BMC Bioinform. 10: 267 (2009) - [j7]Haiqin Yang, Kaizhu Huang
, Irwin King
, Michael R. Lyu:
Localized support vector regression for time series prediction. Neurocomputing 72(10-12): 2659-2669 (2009) - [j6]Kaizhu Huang
, Danian Zheng, Irwin King
, Michael R. Lyu:
Arbitrary Norm Support Vector Machines. Neural Comput. 21(2): 560-582 (2009) - [j5]Zenglin Xu, Kaizhu Huang
, Jianke Zhu, Irwin King
, Michael R. Lyu:
A novel kernel-based maximum a posteriori classification method. Neural Networks 22(7): 977-987 (2009) - [c20]Kaizhu Huang
, Yiming Ying
, Colin Campbell:
GSML: A Unified Framework for Sparse Metric Learning. ICDM 2009: 189-198 - [c19]Xu-Cheng Yin
, Qian Liu, Hong-Wei Hao, Zhi-Bin Wang, Kaizhu Huang
:
A Rock Structure Recognition System Using FMI Images. ICONIP (1) 2009: 838-845 - [c18]Zhi-Bin Wang, Hong-Wei Hao, Xu-Cheng Yin
, Qian Liu, Kaizhu Huang
:
Exchange Rate Forecasting Using Classifier Ensemble. ICONIP (1) 2009: 884-891 - [c17]Kaizhu Huang
, Zenglin Xu, Irwin King
, Michael R. Lyu, Colin Campbell:
Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data. IJCNN 2009: 1272-1277 - [c16]Yiming Ying, Kaizhu Huang, Colin Campbell:
Sparse Metric Learning via Smooth Optimization. NIPS 2009: 2214-2222 - 2008
- [j4]Kaizhu Huang
, Haiqin Yang, Irwin King
, Michael R. Lyu:
Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally. IEEE Trans. Neural Networks 19(2): 260-272 (2008) - [c15]ZhangBing Zhou, Sami Bhiri
, Lei Shu
, Kaizhu Huang
, Laurentiu Vasiliu, Manfred Hauswirth:
A Scenario-View Based Approach to Analyze External Behavior of Web Services for Supporting Mediated Service Interactions. IEEE SCC (2) 2008: 249-256 - [c14]Zenglin Xu, Rong Jin, Kaizhu Huang
, Michael R. Lyu, Irwin King
:
Semi-supervised text categorization by active search. CIKM 2008: 1517-1518 - [c13]Kaizhu Huang
, Zenglin Xu, Irwin King
, Michael R. Lyu:
Semi-supervised Learning from General Unlabeled Data. ICDM 2008: 273-282 - [c12]Kaizhu Huang
, Irwin King
, Michael R. Lyu:
Direct Zero-Norm Optimization for Feature Selection. ICDM 2008: 845-850 - [c11]Haiqin Yang, Kaizhu Huang
, Irwin King
, Michael R. Lyu:
Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel. IJCNN 2008: 4014-4019 - 2007
- [c10]Jun Sun, Kaizhu Huang
, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi:
Degraded Character Recognition by Complementary Classifiers Combination. ICDAR 2007: 579-583 - [c9]Kaizhu Huang
, Jun Sun, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi:
An SVM-Based High-accurate Recognition Approach for Handwritten Numerals by Using Difference Features. ICDAR 2007: 589-593 - [c8]Zenglin Xu, Kaizhu Huang
, Jianke Zhu, Irwin King
, Michael R. Lyu:
Kernel Maximum a Posteriori Classification with Error Bound Analysis. ICONIP (1) 2007: 841-850 - 2006
- [j3]Kaizhu Huang
, Haiqin Yang, Irwin King
, Michael R. Lyu:
Maximizing sensitivity in medical diagnosis using biased minimax probability Machine. IEEE Trans. Biomed. Eng. 53(5): 821-831 (2006) - [j2]Kaizhu Huang
, Haiqin Yang, Irwin King
, Michael R. Lyu:
Imbalanced learning with a biased minimax probability machine. IEEE Trans. Syst. Man Cybern. Part B 36(4): 913-923 (2006) - [c7]Kaizhu Huang
, Jun Sun, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi, Chong Long, Li Zhuang, Xiaoyan Zhu:
A Hybrid Handwritten Chinese Address Recognition Approach. ICONIP (2) 2006: 88-98 - [c6]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Local Support Vector Regression for Financial Time Series Prediction. IJCNN 2006: 1622-1627 - 2004
- [b1]Kaizhu Huang:
Learning from data locally and globally. Chinese University of Hong Kong, Hong Kong, 2004 - [j1]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan:
The Minimum Error Minimax Probability Machine. J. Mach. Learn. Res. 5: 1253-1286 (2004) - [c5]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine. CVPR (2) 2004: 558-563 - [c4]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Learning large margin classifiers locally and globally. ICML 2004 - [c3]Haiqin Yang, Kaizhu Huang
, Laiwan Chan, Irwin King
, Michael R. Lyu:
Outliers Treatment in Support Vector Regression for Financial Time Series Prediction. ICONIP 2004: 1260-1265 - [c2]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan:
Biased Minimax Probability Machine for Medical Diagnosis. AI&M 2004 - 2003
- [c1]Kaizhu Huang
, Irwin King
, Michael R. Lyu:
Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier. ICANN 2003: 115-122
Coauthor Index
aka: Yannis Goulermas
aka: Hong-Wei Hao
aka: Xiaobo Jin
aka: Qiufeng Wang
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