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2020 – today
- 2025
[j139]Weiguang Zhao
, Guanyu Yang, Rui Zhang, Chenru Jiang, Chaolong Yang, Yuyao Yan, Amir Hussain, Kaizhu Huang:
Open-Pose 3D zero-shot learning: Benchmark and challenges. Neural Networks 181: 106775 (2025)- [j138]Chenru Jiang, Wuwei Ma, Kaizhu Huang, Qiufeng Wang, Xi Yang, Weiguang Zhao, Junwei Wu, Xinheng Wang, Jimin Xiao, Zhenxing Niu:
Revisiting 3D point cloud analysis with Markov process. Pattern Recognit. 158: 110997 (2025) - 2024
- [j137]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) - [j136]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) - [j135]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) - [j134]Shufei Zhang, Zhuang Qian, Kaizhu Huang, Qiu-Feng Wang, Bin Gu, Huan Xiong, Xinping Yi:
Inter-feature Relationship Certifies Robust Generalization of Adversarial Training. Int. J. Comput. Vis. 132(12): 5565-5581 (2024) - [j133]Yuqi Wang, Wei Wang, Qi Chen, Kaizhu Huang, Anh Nguyen, Suparna De:
Zero-shot text classification with knowledge resources under label-fully-unseen setting. Neurocomputing 610: 128580 (2024) - [j132]Guanyu Yang, Kaizhu Huang, Rui Zhang, Xi Yang:
Instance-Specific Model Perturbation Improves Generalized Zero-Shot Learning. Neural Comput. 36(5): 936-962 (2024) - [j131]Zhuang Qian, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Xinping Yi, Bin Gu, Huan Xiong:
Perturbation diversity certificates robust generalization. Neural Networks 172: 106117 (2024) - [j130]Jingwei Guo, Kaizhu Huang, Rui Zhang, Xinping Yi:
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily With Edge Splitting. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11345-11360 (2024) - [j129]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) - [j128]Shiran Yuan, Kaizhu Huang:
A generalizable framework for low-rank tensor completion with numerical priors. Pattern Recognit. 155: 110678 (2024) - [j127]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) - [j126]Penglei Gao, Xi Yang, Rui Zhang, Ping Guo, John Yannis Goulermas, Kaizhu Huang:
EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction With Exogenous Variables. IEEE Trans. Cybern. 54(9): 5381-5393 (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) - [c136]Zhaorui Tan, Xi Yang, Kaizhu Huang:
Semantic-Aware Data Augmentation for Text-to-Image Synthesis. AAAI 2024: 5098-5107 - [c135]Zixian Su, Jingwei Guo, Kai Yao, Xi Yang, Qiufeng Wang, Kaizhu Huang:
Unraveling Batch Normalization for Realistic Test-Time Adaptation. AAAI 2024: 15136-15144 - [c134]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 - [c133]Zhaorui Tan, Xi Yang, Kaizhu Huang:
Rethinking Multi-Domain Generalization with A General Learning Objective. CVPR 2024: 23512-23522 - [c132]Huiru Shao, Zhuang Qian, Kaizhu Huang, Wei Wang, Xiaowei Huang, Qiufeng Wang:
Delving into Adversarial Robustness on Document Tampering Localization. ECCV (65) 2024: 290-306 - [c131]Sixuan Duan, Ruiqi Yong, Hang Yuan, Tianyu Cai, Kaizhu Huang, Kai Hoettges, Eng Gee Lim, Pengfei Song:
Automated Offline Smartphone-Assisted Microfluidic Paper-Based Analytical Device for Biomarker Detection of Alzheimer's Disease. EMBC 2024: 1-5 - [c130]Weiguang Zhang, Qiufeng Wang, Kaizhu Huang, Xiaomeng Gu, Fengjun Guo:
Coarse-to-Fine Document Image Registration for Dewarping. ICDAR (4) 2024: 343-358 - [c129]Yijie Hu, Yan-Ming Zhang, Kaizhu Huang, Qiu-Feng Wang:
Class Incremental Learning for Character String Recognition. ICDAR (5) 2024: 405-420 - [c128]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 - [c127]Weiguang Zhang, Qiufeng Wang, Kaizhu Huang, Xiaowei Huang, Fengjun Guo, Xiaomeng Gu:
Document Registration: Towards Automated Labeling of Pixel-Level Alignment Between Warped-Flat Documents. ACM Multimedia 2024: 9933-9942 - [c126]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. SemEval@NAACL 2024: 88-94 - [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] - [i82]Jingwei Guo, Kaizhu Huang, Xinping Yi, Zixian Su, Rui Zhang:
Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering. CoRR abs/2401.09071 (2024) - [i81]Zhaorui Tan, Xi Yang, Kaizhu Huang:
Rethinking Multi-domain Generalization with A General Learning Objective. CoRR abs/2402.18853 (2024) - [i80]Tianyi Liu, Zhaorui Tan, Kaizhu Huang, Haochuan Jiang:
Rethinking Information Loss in Medical Image Segmentation with Various-sized Targets. CoRR abs/2403.19177 (2024) - [i79]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) - [i78]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) - [i77]Zhaorui Tan, Chengrui Zhang, Xi Yang, Jie Sun, Kaizhu Huang:
Revisiting Mutual Information Maximization for Generalized Category Discovery. CoRR abs/2405.20711 (2024) - [i76]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) - [i75]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) - [i74]Haochuan Jiang, Guanyu Yang, Fei Cheng, Kaizhu Huang:
Generalized W-Net: Arbitrary-style Chinese Character Synthesization. CoRR abs/2406.06847 (2024) - [i73]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) - [i72]Tianyi Liu, Zhaorui Tan, Muyin Chen, Xi Yang, Haochuan Jiang, Kaizhu Huang:
MedMAP: Promoting Incomplete Multi-modal Brain Tumor Segmentation with Alignment. CoRR abs/2408.09465 (2024) - [i71]Chongwen Zhao, Zhihao Dou, Kaizhu Huang:
EEG-Defender: Defending against Jailbreak through Early Exit Generation of Large Language Models. CoRR abs/2408.11308 (2024) - [i70]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:
CathAction: A Benchmark for Endovascular Intervention Understanding. CoRR abs/2408.13126 (2024) - [i69]Tianyi Liu, Zhaorui Tan, Haochuan Jiang, Xi Yang, Kaizhu Huang:
Mind the Gap: Promoting Missing Modality Brain Tumor Segmentation with Alignment. CoRR abs/2409.19366 (2024) - [i68]Zhaorui Tan, Xi Yang, Qiufeng Wang, Anh Nguyen, Kaizhu Huang:
Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification. CoRR abs/2410.04492 (2024) - [i67]Yijie Hu, Guanyu Yang, Zhaorui Tan, Xiaowei Huang, Kaizhu Huang, Qiu-Feng Wang:
Covariance-based Space Regularization for Few-shot Class Incremental Learning. CoRR abs/2411.01172 (2024) - [i66]Zixian Su, Jingwei Guo, Xi Yang, Qiu-Feng Wang, Frans Coenen, Kaizhu Huang:
Navigating Distribution Shifts in Medical Image Analysis: A Survey. CoRR abs/2411.05824 (2024) - [i65]Zhaorui Tan, Xi Yang, Tan Pan, Tianyi Liu, Chen Jiang, Xin Guo, Qiufeng Wang, Anh Nguyen, Yuan Qi, Kaizhu Huang, Yuan Cheng:
Personalize to generalize: Towards a universal medical multi-modality generalization through personalization. CoRR abs/2411.06106 (2024) - [i64]Jianan Ye, Zhaorui Tan, Yijie Hu, Xi Yang, Guangliang Cheng, Kaizhu Huang:
Disentangling Tabular Data towards Better One-Class Anomaly Detection. CoRR abs/2411.07574 (2024) - [i63]Jing Li, Xueke Chi, Qiufeng Wang, Dahan Wang, Kaizhu Huang, Yongge Liu, Cheng-lin Liu:
A comprehensive survey of oracle character recognition: challenges, benchmarks, and beyond. CoRR abs/2411.11354 (2024) - [i62]Zixian Su, Jingwei Guo, Xi Yang, Qiufeng Wang, Kaizhu Huang:
Decentralizing Test-time Adaptation under Heterogeneous Data Streams. CoRR abs/2411.15173 (2024) - [i61]Weiguang Zhao, Chenru Jiang, Chengrui Zhang, Jie Sun, Yuyao Yan, Rui Zhang, Kaizhu Huang:
Towards Cross-device and Training-free Robotic Grasping in 3D Open World. CoRR abs/2411.18133 (2024) - [i60]Jianan Ye, Weiguang Zhao, Xi Yang, Guangliang Cheng, Kaizhu Huang:
PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection. CoRR abs/2412.12617 (2024) - [i59]Xiaoqiang Kang, Zimu Wang, Xiaobo Jin, Wei Wang, Kaizhu Huang, Qiufeng Wang:
Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation. CoRR abs/2412.15594 (2024) - [i58]Zihan Ye, Xinyuan Ru, Shiming Chen, Yaochu Jin, Kaizhu Huang, Xiaobo Jin:
Improved Feature Generating Framework for Transductive Zero-shot Learning. CoRR abs/2412.18282 (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) - [c125]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 - [c124]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 - [c123]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 - [c122]Haochuan Jiang, Guanyu Yang, Fei Cheng, Kaizhu Huang:
Generalized W-Net: Arbitrary-Style Chinese Character Synthesization. BICS 2023: 190-200 - [c121]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 - [c120]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 - [c119]Kai Yao, Zixian Su, Xi Yang, Jie Sun, Kaizhu Huang:
Explore Epistemic Uncertainty in Domain Adaptive Semantic Segmentation. CIKM 2023: 2990-2998 - [c118]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 - [c117]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 - [c116]Zhiqiang Gao, Kaizhu Huang, Rui Zhang, Dawei Liu, Jieming Ma:
Towards Better Robustness against Common Corruptions for Unsupervised Domain Adaptation. ICCV 2023: 18836-18847 - [c115]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 - [c114]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 - [c113]Shuyi Qu, Zhenxing Niu, Jianke Zhu, Bin Dong, Kaizhu Huang:
Structure First Detail Next: Image Inpainting with Pyramid Generator. ICME 2023: 1265-1270 - [c112]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 - [c111]Huiru Shao, Kaizhu Huang, Wei Wang, Xiaowei Huang, Qiufeng Wang:
Progressive Supervision for Tampering Localization in Document Images. ICONIP (15) 2023: 140-151 - [c110]Zhaorui Tan, Siyuan Wang, Xi Yang, Kaizhu Huang:
PAG: Protecting Artworks from Personalizing Image Generative Models. ICONIP (4) 2023: 433-444 - [c109]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 - [c108]Maizhen Ning, Qiu-Feng Wang, Kaizhu Huang, Xiaowei Huang:
A Symbolic Characters Aware Model for Solving Geometry Problems. ACM Multimedia 2023: 7767-7775 - [c107]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) - [c106]Kai Yao, Penglei Gao, Xi Yang, Jie Sun, Rui Zhang, Kaizhu Huang:
Outpainting by Queries. ECCV (23) 2022: 153-169 - [c105]Shuyi Qu, Kaizhu Huang, Qiufeng Wang, Bin Dong:
Rethinking Image Inpainting with Attention Feature Fusion. ICONIP (3) 2022: 693-704 - [c104]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 - [c103]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 - [c102]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 - [c101]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) - [c100]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 - [c99]Zhiqiang Gao, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Chaoliang Zhong:
Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation. ICCV 2021: 8917-8926 - [c98]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 - [c97]Shufei Zhang, Zhuang Qian, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi:
Towards Better Robust Generalization with Shift Consistency Regularization. ICML 2021: 12524-12534 - [c96]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 - [c95]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) - [c94]Jiezhu Cheng, Kaizhu Huang, Zibin Zheng:
Towards Better Forecasting by Fusing Near and Distant Future Visions. AAAI 2020: 3593-3600 - [c93]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 - [c92]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 - [c91]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 - [c90]Jing Li, Qiu-Feng Wang, Rui Zhang, Kaizhu Huang:
Adversarial Rectification Network for Scene Text Regularization. ICONIP (2) 2020: 152-163 - [c89]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 - [c88]Yanan Wang, Guoqiang Zhong, Yuxu Mao, Kaizhu Huang:
Feature Redirection Network for Few-Shot Classification. ICONIP (4) 2020: 418-425 - [c87]Yuxu Mao, Guoqiang Zhong, Haizhen Wang, Kaizhu Huang:
MCRN: A New Content-Based Music Classification and Recommendation Network. ICONIP (4) 2020: 771-779 - [c86]Haotian Xu, Xiaobo Jin, Qiufeng Wang, Kaizhu Huang:
Multi-scale Attention Consistency for Multi-label Image Classification. ICONIP (4) 2020: 815-823 - [c85]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 - [c84]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 - [c83]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 - [c82]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 - [c81]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) - [c80]Yupeng Cao, Qiu-Feng Wang, Kaizhu Huang, Rui Zhang:
Improving Image Caption Performance with Linguistic Context. BICS 2019: 3-11 - [c79]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 - [c78]Guoqiang Zhong, Xin Lin, Kang Chen, Qingyang Li, Kaizhu Huang:
Long Short-Term Attention. BICS 2019: 45-54 - [c77]Jinlong Hong, Kaizhu Huang, Hai-Ning Liang, Xinheng Wang, Rui Zhang:
Fine-Grained Image Classification with Object-Part Model. BICS 2019: 233-243 - [c76]Yuanye Fang, Rui Zhang, Qiu-Feng Wang, Kaizhu Huang:
Action Recognition in Videos with Temporal Segments Fusions. BICS 2019: 244-253 - [c75]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 - [c74]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 - [c73]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 - [c72]Le Zhou, Qiu-Feng Wang, Kaizhu Huang, Cheng-Hung Lo:
An Interactive and Generative Approach for Chinese Shanshui Painting Document. ICDAR 2019: 819-824 - [c71]Mandar Gogate, Amir Hussain, Kaizhu Huang:
Random Features and Random Neurons for Brain-Inspired Big Data Analytics. ICDM Workshops 2019: 522-529 - [c70]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 - [c69]Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain:
Generalized Adversarial Training in Riemannian Space. ICDM 2019: 826-835 - [c68]Lirong He, Ziyi Guo, Kaizhu Huang, Zenglin Xu:
Deep Minimax Probability Machine. ICDM Workshops 2019: 869-876 - [c67]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 - [c66]Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Amir Hussain:
SimpleGAN Stabilizing Generative Adversarial Networks with Simple Distributions. ICDM Workshops 2019: 905-910 - [c65]Li-Na Wang, Guoqiang Zhong, Shoujun Yan, Junyu Dong, Kaizhu Huang:
Enhanced LSTM with Batch Normalization. ICONIP (1) 2019: 746-755 - [c64]Shuyi Qu, Kaizhu Huang, Amir Hussain, Yannis Goulermas:
MPSSD: Multi-Path Fusion Single Shot Detector. IJCNN 2019: 1-6 - [c63]Zhiqiang Gao, Dawei Liu, Kaizhu Huang, Yi Huang:
Mining human activity and smartphone position from motion sensors. IUI Companion 2019: 17-18 - [c62]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) - [c61]Haochuan Jiang, Kaizhu Huang, Rui Zhang, Amir Hussain:
Style Neutralization Generative Adversarial Classifier. BICS 2018: 3-13 - [c60]Kai Yao, Kaizhu Huang, Rui Zhang, Amir Hussain:
Improving Deep Neural Network Performance with Kernelized Min-Max Objective. ICONIP (1) 2018: 182-191 - [c59]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) - [c58]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 - [c57]Haochuan Jiang, Kaizhu Huang, Rui Zhang:
Field Support Vector Regression. ICONIP (1) 2017: 699-708 - [c56]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 - [c55]Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain:
Improve Deep Learning with Unsupervised Objective. ICONIP (1) 2017: 720-728 - [c54]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) - [c53]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 - [c52]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 - [c51]Xi Yang, Kaizhu Huang, Rui Zhang, Amir Hussain:
Learning Latent Features with Infinite Non-negative Binary Matrix Tri-factorization. ICONIP (1) 2016: 587-596 - [c50]Shufei Zhang, Kaizhu Huang:
Learning from Few Samples with Memory Network. ICONIP (1) 2016: 606-614 - [c49]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) - [c48]Chunchuan Lyu, Kaizhu Huang, Hai-Ning Liang:
A Unified Gradient Regularization Family for Adversarial Examples. ICDM 2015: 301-309 - [c47]Yajuan Cai, Guoqiang Zhong, Yuchen Zheng, Kaizhu Huang, Junyu Dong:
Is DeCAF Good Enough for Accurate Image Classification? ICONIP (2) 2015: 354-363 - [c46]Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas:
Two-layer Mixture of Factor Analyzers with Joint Factor Loading. IJCNN 2015: 1-8 - [c45]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) - [c44]Xi Yang, Kaizhu Huang, Rui Zhang:
Unsupervised Dimensionality Reduction for Gaussian Mixture Model. ICONIP (2) 2014: 84-92 - [c43]Chun Yang, Xu-Cheng Yin, Kaizhu Huang:
Text Categorization with Diversity Random Forests. ICONIP (3) 2014: 317-324 - [c42]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) - [c41]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 - [c40]Xu-Yao Zhang, Kaizhu Huang, Cheng-Lin Liu:
Feature Transformation with Class Conditional Decorrelation. ICDM 2013: 887-896 - [c39]Xu-Cheng Yin, Kaizhu Huang, Hong-Wei Hao:
Dynamic Ensemble of Ensembles in Nonstationary Environments. ICONIP (2) 2013: 76-83 - [c38]Rui Zhang, Kaizhu Huang:
One-Side Probability Machine: Learning Imbalanced Classifiers Locally and Globally. ICONIP (2) 2013: 140-147 - [c37]Yan-Ming Zhang, Kaizhu Huang, Guanggang Geng, Cheng-Lin Liu:
Fast kNN Graph Construction with Locality Sensitive Hashing. ECML/PKDD (2) 2013: 660-674 - [c36]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) - [c35]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 - [c34]Yinglu Liu, Xu-Yao Zhang, Kaizhu Huang, Xinwen Hou, Cheng-Lin Liu:
Multiple Outlooks Learning with Support Vector Machines. ICONIP (3) 2012: 116-124 - [c33]Peipei Yang, Xu-Yao Zhang, Kaizhu Huang, Cheng-Lin Liu:
Manifold Regularized Multi-Task Learning. ICONIP (3) 2012: 528-536 - [c32]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) - [c31]Yan-Ming Zhang, Kaizhu Huang, Cheng-Lin Liu:
Fast and Robust Graph-based Transductive Learning via Minimum Tree Cut. ICDM 2011: 952-961 - [c30]Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu:
Low Rank Metric Learning with Manifold Regularization. ICDM 2011: 1266-1271 - [c29]Peipei Yang, Kaizhu Huang, Cheng-Lin Liu:
Multi-Task Low-Rank Metric Learning Based on Common Subspace. ICONIP (2) 2011: 151-159 - [c28]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 - [c27]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) - [c26]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 - [c25]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 - [c24]Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu:
Learning ECOC and Dichotomizers Jointly from Data. ICONIP (1) 2010: 494-502 - [c23]Bo Xu, Kaizhu Huang, Cheng-Lin Liu:
Dimensionality Reduction by Minimal Distance Maximization. ICPR 2010: 569-572 - [c22]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) - [c21]Kaizhu Huang, Yiming Ying, Colin Campbell:
GSML: A Unified Framework for Sparse Metric Learning. ICDM 2009: 189-198 - [c20]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 - [c19]Zhi-Bin Wang, Hong-Wei Hao, Xu-Cheng Yin, Qian Liu, Kaizhu Huang:
Exchange Rate Forecasting Using Classifier Ensemble. ICONIP (1) 2009: 884-891 - [c18]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 - [c17]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) - [c16]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 - [c15]Zenglin Xu, Rong Jin, Kaizhu Huang, Michael R. Lyu, Irwin King:
Semi-supervised text categorization by active search. CIKM 2008: 1517-1518 - [c14]Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu:
Semi-supervised Learning from General Unlabeled Data. ICDM 2008: 273-282 - [c13]Kaizhu Huang, Irwin King, Michael R. Lyu:
Direct Zero-Norm Optimization for Feature Selection. ICDM 2008: 845-850 - [c12]Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu:
Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel. IJCNN 2008: 4014-4019 - 2007
- [c11]Jun Sun, Kaizhu Huang, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi:
Degraded Character Recognition by Complementary Classifiers Combination. ICDAR 2007: 579-583 - [c10]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 - [c9]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) - [c8]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 - [c7]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) - [c6]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 - [c5]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Learning large margin classifiers locally and globally. ICML 2004 - [c4]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 - [c3]Steven Chu-Hong Hoi, Chi-Hang Chan, Kaizhu Huang, Michael R. Lyu, Irwin King:
Biased support vector machine for relevance feedback in image retrieval. IJCNN 2004: 3189-3194 - [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
John Yannis Goulermas
aka: Yannis Goulermas
aka: Yannis Goulermas
Hongwei Hao
aka: Hong-Wei Hao
aka: Hong-Wei Hao
[j139] [j137] [j136] [j125] [e5] [j117] [j115] [j114] [j106] [j105] [j99] [c112] [j86] [j84] [i42] [i30] [j80] [j78] [j74] [j72] [j70] [i20] [j64] [j59] [j58] [c82] [e4] [j49] [j45] [c79] [c75] [c71] [c69] [c67] [c66] [c64] [j44] [j43] [j41] [j40] [j38] [j35] [c61] [c60] [j33] [c55] [c53] [c52] [c51] [c41]
Xiao-Bo Jin
aka: Xiaobo Jin
aka: Xiaobo Jin
[j138] [j134] [j131] [j129] [j121] [c135] [c134] [c132] [c130] [c129] [c127] [i73] [i70] [i68] [i67] [i66] [i63] [i62] [j116] [j109] [j107] [j102] [c125] [c123] [c120] [c115] [c114] [c111] [c109] [c108] [i56] [i55] [i54] [i53] [i52] [i51] [i48] [i45] [i44] [j92] [j90] [j89] [j84] [c105] [c104] [c103] [i41] [i39] [i33] [i32] [j76] [c99] [c98] [c97] [c96] [i23] [j64] [j57] [c90] [c86] [j53] [j52] [c80] [c76] [c74] [c73] [c72] [i17]
[j138] [j132] [j129] [j126] [j120] [c136] [c135] [c133] [i81] [i78] [i77] [i72] [i69] [i68] [i66] [i64] [i62] [i60] [j111] [j109] [j107] [j102] [j100] [c125] [c121] [c119] [c117] [c112] [c110] [i56] [i47] [i45] [j86] [c106] [i43] [i40] [i39] [i37] [i36] [i35] [i33] [i32] [i30] [i18] [j51] [c70] [j38] [j35] [j32] [c56] [c51] [c46] [c44]
[j139] [j132] [j130] [j126] [j123] [j120] [i82] [i75] [i61] [j112] [j111] [j109] [j100] [c121] [c116] [c115] [c107] [i49] [i46] [i44] [c106] [c103] [i43] [i38] [i37] [i35] [j80] [j74] [j72] [c98] [c97] [i28] [i23] [j64] [j59] [j57] [c90] [c82] [i18] [j53] [j51] [c80] [c79] [c77] [c76] [c75] [c74] [c70] [c69] [c66] [i17] [j44] [j43] [j38] [j35] [c61] [c60] [c59] [j32] [c57] [c56] [c55] [c51] [j25] [c46] [c44] [c42] [c38]
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