Ping Guo - RankMe

278 papers A* 5A 3B 47C 42Misc 2Journal 82Unranked 96

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Synergetic Learning System Based on Swarm of Non-Gradient Learners. IEEE Trans. Emerg. Top. Comput. Intell. Zhe Li, Binghong Liu, Ke Wang, Ping Guo
2025	J	`jnl`	Bi-PIL: Bidirectional Gradient-Free Learning Scheme for Multilayer Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Ke Wang, Binghong Liu, Pandi Liu, Yungao Shi, Ping Guo, Yafei Li, Mingliang Xu
2025	J	`jnl`	Compute-efficient and backpropagation-free pseudoinverse learning for neural networks: A comprehensive survey. Appl. Soft Comput. Ke Wang, Pandi Liu, Mohammed A. B. Mahmoud, Ping Guo, Yafei Li
2025	J	`jnl`	Synergetic Learning Neuro-Control for Unknown Affine Nonlinear Systems With Asymptotic Stability Guarantees. IEEE Trans. Neural Networks Learn. Syst. Liao Zhu, Qinglai Wei, Ping Guo
2024	J	`jnl`	A Progressive Stacking Pseudoinverse Learning Framework via Active Learning in Random Subspaces. IEEE Trans. Syst. Man Cybern. Syst. Zhenjiao Cai, Sulan Zhang, Ping Guo, Jifu Zhang, Lihua Hu
2024	J	`jnl`	AM-RP Stacking PILers: Random projection stacking pseudoinverse learning algorithm based on attention mechanism. Vis. Comput. Zhenjiao Cai, Sulan Zhang, Ping Guo, Jifu Zhang, Lihua Hu
2024	—	`conf`	DEIE: Benchmarking Document-level Event Information Extraction with a Large-scale Chinese News Dataset. LREC/COLING Yubing Ren, Yanan Cao, Hao Li, Yingjie Li, Zixuan ZM Ma, Fang Fang, Ping Guo, Wei Ma
2024	J	`jnl`	EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction With Exogenous Variables. IEEE Trans. Cybern. Penglei Gao, Xi Yang, Rui Zhang, Ping Guo, John Yannis Goulermas, Kaizhu Huang
2024	—	`conf`	Enhancing Zero-Shot Translation in Multilingual Neural Machine Translation: Focusing on Obtaining Location-Agnostic Representations. ICANN (7) Jiarui Zhang, Heyan Huang, Yue Hu, Ping Guo
2024	J	`jnl`	Online Off-Policy Reinforcement Learning for Optimal Control of Unknown Nonlinear Systems Using Neural Networks. IEEE Trans. Syst. Man Cybern. Syst. Liao Zhu, Qinglai Wei, Ping Guo
2024	—	`conf`	Overcoming Rigid and Monotonous: Enhancing Knowledge-Grounded Conversation Generation via Multi-granularity Knowledge. NLPCC (1) Xingsheng Zhang, Yifan Deng, Yue Hu, Yunpeng Li, Ping Guo
2024	A*	`conf`	Query in Your Tongue: Reinforce Large Language Models with Retrievers for Cross-lingual Search Generative Experience. WWW Ping Guo, Yue Hu, Yanan Cao, Yubing Ren, Yunpeng Li, Heyan Huang
2024	A*	`conf`	Steering Large Language Models for Cross-lingual Information Retrieval. SIGIR Ping Guo, Yubing Ren, Yue Hu, Yanan Cao, Yunpeng Li, Heyan Huang
2024	—	`conf`	Subtle Signatures, Strong Shields: Advancing Robust and Imperceptible Watermarking in Large Language Models. ACL (Findings) Yubing Ren, Ping Guo, Yanan Cao, Wei Ma
2024	—	`conf`	Teaching Large Language Models to Translate on Low-resource Languages with Textbook Prompting. LREC/COLING Ping Guo, Yubing Ren, Yue Hu, Yunpeng Li, Jiarui Zhang, Xingsheng Zhang, Heyan Huang
2024	J	`jnl`	Two-Level Local Observer-Based Decentralized Optimal Fault Tolerant Tracking Control for Unknown Nonlinear Interconnected Systems. IEEE Trans. Syst. Man Cybern. Syst. Hongbing Xia, Jiaxu Hou, Ping Guo
2023	—	`conf`	A Space-Saving Based MLCS Algorithm. DASC/PiCom/CBDCom/CyberSciTech Botian Jiang, Chunyang Wang, Yuanyuan Fu, Hai-Lin Liu, Ping Guo, Yuping Wang
2023	J	`jnl`	A progressively-enhanced framework to broad networks for efficient recognition applications. Multim. Tools Appl. Xiaoxuan Sun, Bo Chen, Rundong Shi, Qian Yin, Ping Guo
2023	J	`jnl`	A user-guided reduction concept lattice and its algebraic structure. Expert Syst. Appl. Sulan Zhang, Jifu Zhang, Jianeng Li, Ping Guo, Witold Pedrycz
2023	J	`jnl`	An improved parameter learning methodology for RVFL based on pseudoinverse learners. Neural Comput. Appl. Xiaoxuan Sun, Xiaodan Deng, Qian Yin, Ping Guo
2023	J	`jnl`	Collaborative optimization of spatial-spectrum parallel convolutional network (CO-PCN) for hyperspectral image classification. Int. J. Mach. Learn. Cybern. Haifeng Sima, Feng Gao, Yudong Zhang, Junding Sun, Ping Guo
2023	A*	`conf`	EMMA-X: An EM-like Multilingual Pre-training Algorithm for Cross-lingual Representation Learning. NeurIPS Ping Guo, Xiangpeng Wei, Yue Hu, Baosong Yang, Dayiheng Liu, Fei Huang, Jun Xie
2023	J	`jnl`	EMMA-X: An EM-like Multilingual Pre-training Algorithm for Cross-lingual Representation Learning. CoRR Ping Guo, Xiangpeng Wei, Yue Hu, Baosong Yang, Dayiheng Liu, Fei Huang, Jun Xie
2023	B	`conf`	Event-Triggered Near Optimal Output Feedback Control for Constrained Discrete-Time Systems Via an Iterative Adaptive Algorithm. SMC Jiaxu Hou, Liao Zhu, Ping Guo
2023	B	`conf`	Flexible Contribution Estimation Methods for Horizontal Federated Learning. IJCNN Xiangjing Hu, Congjian Luo, Dun Zeng, Zenglin Xu, Ping Guo, Irwin King
2023	—	`conf`	Importance-Based Neuron Selective Distillation for Interference Mitigation in Multilingual Neural Machine Translation. KSEM (4) Jiarui Zhang, Heyan Huang, Yue Hu, Ping Guo, Yuqiang Xie
2023	A*	`conf`	Learning to Know Myself: A Coarse-to-Fine Persona-Aware Training Framework for Personalized Dialogue Generation. AAAI Yunpeng Li, Yue Hu, Yajing Sun, Luxi Xing, Ping Guo, Yuqiang Xie, Wei Peng
2023	A	`conf`	Mitigating Long-Tail Language Representation Collapsing via Cross-Lingual Bootstrapped Unsupervised Fine-Tuning. ECAI Ping Guo, Yue Hu, Yubing Ren, Yunpeng Li, Jiarui Zhang, Xingsheng Zhang
2023	—	`conf`	Retrieve-and-Sample: Document-level Event Argument Extraction via Hybrid Retrieval Augmentation. ACL (1) Yubing Ren, Yanan Cao, Ping Guo, Fang Fang, Wei Ma, Zheng Lin
2023	J	`jnl`	Synergetic learning for unknown nonlinear H∞ control using neural networks. Neural Networks Liao Zhu, Ping Guo, Qinglai Wei
2022	B	`conf`	A Robust De-noising Method via Training Loss for Distantly Supervised Relation Extraction. IJCNN Yunpeng Li, Yue Hu, Ping Guo
2022	J	`jnl`	Bayesian Pseudoinverse Learners: From Uncertainty to Deterministic Learning. IEEE Trans. Cybern. Qian Yin, Bingxin Xu, Kaiyan Zhou, Ping Guo
2022	B	`conf`	CLIO: Role-interactive Multi-event Head Attention Network for Document-level Event Extraction. COLING Yubing Ren, Yanan Cao, Fang Fang, Ping Guo, Zheng Lin, Wei Ma, Yi Liu
2022	J	`jnl`	CLSEG: Contrastive Learning of Story Ending Generation. CoRR Yuqiang Xie, Yue Hu, Luxi Xing, Yunpeng Li, Wei Peng, Ping Guo
2022	Misc	`conf`	CLseg: Contrastive Learning of Story Ending Generation. ICASSP Yuqiang Xie, Yue Hu, Luxi Xing, Yunpeng Li, Wei Peng, Ping Guo
2022	J	`jnl`	Composite Kernel of Mutual Learning on Mid-Level Features for Hyperspectral Image Classification. IEEE Trans. Cybern. Haifeng Sima, Jing Wang, Ping Guo, Junding Sun, Hongmin Liu, Mingliang Xu, Youfeng Zou
2022	J	`jnl`	Correction to: Efficient structural pseudoinverse learning-based hierarchical representation learning for skin lesion classification. Complex Intell. Syst. Xiaodan Deng, Qian Yin, Ping Guo
2022	B	`conf`	Data-Driven Suboptimal Control for Nonlinear Systems Using State-Dependent Riccati Equation. SMC Liao Zhu, Jingsheng Xu, Ping Guo
2022	J	`jnl`	Efficient structural pseudoinverse learning-based hierarchical representation learning for skin lesion classification. Complex Intell. Syst. Xiaodan Deng, Qian Yin, Ping Guo
2022	J	`jnl`	EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous Variables. CoRR Penglei Gao, Xi Yang, Kaizhu Huang, Rui Zhang, Ping Guo, John Yannis Goulermas
2022	—	`conf`	Guiding Neural Machine Translation with Semantic Kernels. EMNLP (Findings) Ping Guo, Yue Hu, Xiangpeng Wei, Yubing Ren, Yunpeng Li, Luxi Xing, Yuqiang Xie
2022	C	`conf`	Methodologies of building synergetic learning systems. CIS Ping Guo, Jiaxu Hou, Bo Zhao
2022	J	`jnl`	Sliding mode-based online fault compensation control for modular reconfigurable robots through adaptive dynamic programming. Complex Intell. Syst. Hongbing Xia, Ping Guo
2022	J	`jnl`	Synergetic learning structure-based neuro-optimal fault tolerant control for unknown nonlinear systems. Neural Networks Hongbing Xia, Bo Zhao, Ping Guo
2021	J	`jnl`	A Robust Automated Machine Learning System with Pseudoinverse Learning. Cogn. Comput. Ke Wang, Ping Guo
2021	J	`jnl`	An Ensemble Classification Model With Unsupervised Representation Learning for Driving Stress Recognition Using Physiological Signals. IEEE Trans. Intell. Transp. Syst. Ke Wang, Ping Guo
2021	J	`jnl`	An efficient and effective deep convolutional kernel pseudoinverse learner with multi-filter. Neurocomputing Xiaodan Deng, Mohammed A. B. Mahmoud, Qian Yin, Ping Guo
2021	C	`conf`	Asymptotically Stable Fault Tolerant Control for Nonlinear Systems Through Differential Game Theory. CIS Hongbing Xia, Jinzhou Bao, Ping Guo
2021	J	`jnl`	DNA sequence classification based on MLP with PILAE algorithm. Soft Comput. Mohammed A. B. Mahmoud, Ping Guo
2021	—	`conf`	Kernel-Based Autoencoders for Large-Scale Representation Learning. ICRAI Jinzhou Bao, Bo Zhao, Ping Guo
2021	J	`jnl`	Learning deep relevance couplings for ad-hoc document retrieval. Expert Syst. Appl. Shufeng Hao, Chongyang Shi, Longbing Cao, Zhendong Niu, Ping Guo
2021	J	`jnl`	Partial Differential Equations is All You Need for Generating Neural Architectures - A Theory for Physical Artificial Intelligence Systems. CoRR Ping Guo, Kaizhu Huang, Zenglin Xu
2021	J	`jnl`	SRCNN-PIL: Side Road Convolution Neural Network Based on Pseudoinverse Learning Algorithm. Neural Process. Lett. Mohammed A. B. Mahmoud, Ping Guo, Ahmed Fathy, Kan Li
2021	J	`jnl`	TPGN: A Time-Preference Gate Network for e-commerce purchase intention recognition. Knowl. Based Syst. Yanan Liu, Yun Tian, Yang Xu, Shifeng Zhao, Yapei Huang, Yachun Fan, Fuqing Duan, Ping Guo
2021	J	`jnl`	Weighted dual hesitant fuzzy set and its application in group decision making. Neurocomputing Wenyi Zeng, Yue Xi, Qian Yin, Ping Guo
2020	B	`conf`	An Empirical Study of Pre-trained Embedding on Ultra-Fine Entity Typing. SMC Yanping Wang, Xin Xin, Ping Guo
2020	—	`conf`	Approximate Optimal Control of Nonlinear Systems with Mismatched Perturbations Based on Asymptotically Stable Critic Neural Network. ICCDE Bo Zhao, Jiaxu Hou, Ping Guo, Derong Liu, Yancai Xu
2020	B	`conf`	Boosting and Residual Learning Scheme with Pseudoinverse Learners. SMC Xiaoxuan Sun, Rundong Shi, Bo Zhao, Ping Guo
2020	—	`conf`	Causal Inference for Mixed-Type Data in Additive Noise Models. ICONIP (2) Xin Liu, Zenglin Xu, Ping Guo
2020	J	`jnl`	Deep learning based software defect prediction. Neurocomputing Lei Qiao, Xuesong Li, Qasim Umer, Ping Guo
2020	—	`conf`	IIE's Neural Machine Translation Systems for WMT20. WMT@EMNLP Xiangpeng Wei, Ping Guo, Yunpeng Li, Xingsheng Zhang, Luxi Xing, Yue Hu
2020	—	`conf`	MG-BERT: A Multi-glosses BERT Model for Word Sense Disambiguation. KSEM (2) Ping Guo, Yue Hu, Yunpeng Li
2020	J	`jnl`	Probability weighted moments regularization based blind image De-blurring. Multim. Tools Appl. Hussain Dawood, Hassan Dawood, Ping Guo, Rashid Mehmood, Ali Daud, Abdullah Alamri, Jalal S. Alowibdi
2020	J	`jnl`	Pseudoinverse learning autoencoder with DCGAN for plant diseases classification. Multim. Tools Appl. Mohammed A. B. Mahmoud, Ping Guo, Ke Wang
2020	J	`jnl`	Synergetic Learning Systems: Concept, Architecture, and Algorithms. CoRR Ping Guo, Qian Yin
2020	J	`jnl`	Two-dimensional Multi-fiber Spectrum Image Correction Based on Machine Learning Techniques. CoRR Jiali Xu, Qian Yin, Ping Guo, Xin Zheng
2019	—	`conf`	A Gradient-Descent Neurodynamic Approach for Distributed Linear Programming. ISNN (2) Xinrui Jiang, Sitian Qin, Ping Guo
2019	J	`jnl`	A Novel Method for Traffic Sign Recognition Based on DCGAN and MLP With PILAE Algorithm. IEEE Access Mohammed A. B. Mahmoud, Ping Guo
2019	B	`conf`	An Ensemble Model for Error Modeling with Pseudoinverse Learning Algorithm. SMC Sibo Feng, Xiaodan Deng, Ping Guo, Bo Zhao, Qian Yin, Hongfeng Wang
2019	—	`conf`	An Unified View on the Feedforward Neural Network Architecture. ICSI (2) Ping Guo, Bo Zhao
2019	C	`conf`	Chinese NER by Span-Level Self-Attention. CIS Xiaoyu Dong, Xin Xin, Ping Guo
2019	C	`conf`	Effective Pulsar Dispersion Measure Estimation Based on Progressive Probabilistic Hough Transform. CIS Jiali Xu, Qian Yin, Ping Guo, Xin Zheng
2019	Misc	`conf`	Image Recognition Based on Combined Filters with Pseudoinverse Learning Algorithm. AIAI Xiaodan Deng, Xiaoxuan Sun, Ping Guo, Qian Yin
2019	J	`jnl`	Multi-channel expected patch log likelihood for color image denoising. Neurocomputing Xiuling Zhou, Bingxin Xu, Ping Guo, Ning He
2019	B	`conf`	Multi-runway Aircraft Arrival Scheduling: A Receding Horizon Control Based Ant Colony System Approach. CEC Li-Jiao Wu, Zhi-Hui Zhan, Xiao-Min Hu, Ping Guo, Yanchun Zhang, Jun Zhang
2019	—	`conf`	Pseudoinverse Learners: New Trend and Applications to Big Data. INNSBDDL Ping Guo, Dongbin Zhao, Min Han, Shoubo Feng
2019	C	`conf`	Relation Extraction via Attention-Based CNNs using Token-Level Representations. CIS Yan Wang, Xin Xin, Ping Guo
2019	C	`conf`	Some new Distance Measures of Hesitant Fuzzy Sets and its Application in Group Decision Making. CIS Wenyi Zeng, Guangchen Song, Qian Yin, Ping Guo
2018	J	`jnl`	A Concatenated Residual Network for Image Deblurring. CoRR Li Siyao, Dongwei Ren, Zijian Hu, Junfeng Li, Qian Yin, Ping Guo
2018	B	`conf`	A Hierarchical Model with Pseudoinverse Learning Algorithm Optimazation for Pulsar Candidate Selection. CEC Shijia Li, Sibo Feng, Ping Guo, Qian Yin
2018	C	`conf`	A Two-Dimensional Sky Background Model for LAMOST Based on Improved KICA. CIS Peng Wu, Qian Yin, Ping Guo
2018	B	`conf`	A temporal-based deep learning method for multiple objects detection in autonomous driving. IJCNN Yaran Chen, Dongbin Zhao, Haoran Li, Dong Li, Ping Guo
2018	J	`jnl`	An experimental case study on the relationship between workload and resource consumption in a commercial web server. J. Comput. Sci. Yongquan Yan, Ping Guo, Bin Cheng, Zhigao Zheng
2018	J	`jnl`	Bottom-Up Merging Segmentation for Color Images With Complex Areas. IEEE Trans. Syst. Man Cybern. Syst. Haifeng Sima, Ping Guo, Youfeng Zou, Zhiheng Wang, Mingliang Xu
2018	B	`conf`	Broad and Pseudoinverse Learning for Autoencoder. SMC Bingxin Xu, Ping Guo
2018	J	`jnl`	Computational Intelligence in Astronomy: A Survey. Int. J. Comput. Intell. Syst. Ke Wang, Ping Guo, Fusheng Yu, Lingzi Duan, Yuping Wang, Hui Du
2018	J	`jnl`	Computational Intelligence in Astronomy: Preface. Int. J. Comput. Intell. Syst. Ping Guo, Yuping Wang, Hai-Lin Liu, Yiu-ming Cheung
2018	C	`conf`	Computationally Efficient Low Power Neuron Model for Digital Brain. CIS Asif Mehmood, Muhammad Javed Iqbal, Hassan Dawood, Ping Guo
2018	—	`conf`	Fast Image Recognition with Gabor Filter and Pseudoinverse Learning AutoEncoders. ICONIP (6) Xiaodan Deng, Sibo Feng, Ping Guo, Qian Yin
2018	B	`conf`	Fine-Grained Deep Knowledge-Aware Network for News Recommendation with Self-Attention. WI Jie Gao, Xin Xin, Junshuai Liu, Rui Wang, Jing Lu, Biao Li, Xin Fan, Ping Guo
2018	—	`conf`	Flux Extraction Based on General Regression Neural Network for Two-Dimensional Spectral Image. HCI (28) Zhen Wang, Qian Yin, Ping Guo, Xin Zheng
2018	C	`conf`	Hyperspectral Image Denoising Based on Low Rank and Expected Patch Log Likelihood. CIS Xiaoqiao Zhang, Xiuling Zhou, Ping Guo
2018	B	`conf`	Listwise Click-Through Rate Prediction with Item-Item Interactions. SMC Rui Wang, Ping Guo, Xin Fan, Biao Li, Wei Zhang, Xin Xin
2018	J	`jnl`	Live fingerprint detection using magnitude of perceived spatial stimuli and local phase information. J. Electronic Imaging Rubab Mehboob, Hassan Dawood, Hussain Dawood, Muhammad Usman Ilyas, Ping Guo, Ameen Banjar
2018	—	`conf`	Marine Floating Raft Aquaculture Back Scattering Feature Analysis Based On ISAR Imagery. SSCI Deyi Wang, Jianchao Fan, Min Han, Ping Guo, Yuzhen Lu
2018	J	`jnl`	PILAE: A Non-gradient Descent Learning Scheme for Deep Feedforward Neural Networks. CoRR Ping Guo, Xiuling Zhou, Ke Wang
2018	C	`conf`	Personalized Response Generation for Customer Service Agents. ISNN Cuihua Ma, Ping Guo, Xin Xin
2018	B	`conf`	Pseudoinverse Learning Algorithom for Fast Sparse Autoencoder Training. CEC Bingxin Xu, Ping Guo
2018	C	`conf`	Review of Pseudoinverse Learning Algorithm for Multilayer Neural Networks and Applications. ISNN Jue Wang, Ping Guo, Xin Xin
2018	J	`jnl`	Training neural networks by marginalizing out hidden layer noise. Neural Comput. Appl. Yanjun Li, Ping Guo
2018	C	`conf`	Weighted Dual Hesitant Fuzzy Sets and Its Application in Group Decision Making. CIS Wenyi Zeng, Yue Xi, Qian Yin, Ping Guo
2017	C	`conf`	A Comprehensive Study of Blind and Non-blind Deconvolution Methods Applied to Spectrum Extraction. CIS Hang Yu, Zhen Wang, Qian Yin, Ping Guo
2017	J	`jnl`	A GPU-based statistical image up-sampling method by using edge templates. Int. J. Comput. Sci. Eng. Xin Zheng, Chenlei Lv, Qingqing Xu, Peipei Pan, Ping Guo
2017	B	`conf`	Autoencoder, low rank approximation and pseudoinverse learning algorithm. SMC Ke Wang, Ping Guo, Xin Xin, Zebin Ye
2017	—	`conf`	Collaborative Response Content Recommendation for Customer Service Agents. ISNN (1) Cuihua Ma, Ping Guo, Xin Xin, Xiaoyu Ma, Yanjie Liang, Shaomin Xing, Li Li, Shaozhuang Liu
2017	C	`conf`	Enlightening the Relationship Between Distribution and Regression Fitting. ICIS Hang Yu, Qian Yin, Ping Guo
2017	C	`conf`	Extracting Company-Specific Keyphrases from News Media. CIS Qiang Pan, Ping Guo, Xin Xin, Junshuai Liu
2017	B	`conf`	Fine-grained news recommendation by fusing matrix factorization, topic analysis and knowledge graph representation. SMC Kuai Zhang, Xin Xin, Pei Luo, Ping Guo
2017	J	`jnl`	Generalization of impulse noise removal. Int. Arab J. Inf. Technol. Hussain Dawood, Hassan Dawood, Ping Guo
2017	—	`conf`	Image Recognition with Histogram of Oriented Gradient Feature and Pseudoinverse Learning AutoEncoders. ICONIP (6) Sibo Feng, Shijia Li, Ping Guo, Qian Yin
2017	—	`conf`	LSTM with Matrix Factorization for Road Speed Prediction. ISNN (1) Jian Hu, Xin Xin, Ping Guo
2017	—	`conf`	Mixture of Matrix Normal Distributions for Color Image Inpainting. ICONIP (3) Xiuling Zhou, Jing Wang, Ping Guo, C. L. Philip Chen
2017	B	`conf`	Predicting the number of driving service orders in fine-grained regions by an ensemble multi-view-based model. SMC Pei Luo, Xin Xin, Kuai Zhang, Ping Guo, Yang Yu, Zichao Wang
2017	C	`conf`	Prediction of Stock Market by Principal Component Analysis. CIS Muhammad Waqar, Hassan Dawood, Ping Guo, Muhammad Bilal Shahnawaz, Mustansar Ali Ghazanfar
2017	—	`conf`	Pulsar Bayesian Model: A Comprehensive Astronomical Data Fitting Model. ICONIP (1) Hang Yu, Qian Yin, Ping Guo
2017	J	`jnl`	Pulsar Candidate Identification with Artificial Intelligence Techniques. CoRR Ping Guo, Fuqing Duan, Pei Wang, Yao Yao, Xin Xin
2017	—	`conf`	Saliency Based Object Detection and Enhancements in Static Images. ICISA Rehan Mehmood Yousaf, Saad Rehman, Hassan Dawood, Ping Guo, Zahid Mehmood, Shoaib Azam, Abdullah Aman Khan
2017	B	`conf`	Two-dimensional spectral image calibration based on feed-forward neural network. IJCNN Mingze Li, Hasitieer Haerken, Ping Guo, Fuqing Duan, Qian Yin, Xin Zheng
2017	J	`jnl`	Understanding and Eliminating the Large-kernel Effect in Blind Deconvolution. CoRR Li Siyao, Qian Yin, Ping Guo
2016	C	`conf`	A Divide and Conquer Method for Automatic Image Annotation. CIS Yanjun Li, Ping Guo, Xin Xin
2016	J	`jnl`	A FWCL-based method for visual vocabulary formation. Multim. Tools Appl. Sulan Zhang, Jifu Zhang, Ping Guo, Meng Chu, Kai-Hsiung Chang
2016	J	`jnl`	A fast ray tracing algorithm based on a hybrid structure. Multim. Tools Appl. Yuanlong Wang, Ping Guo, Fuqing Duan
2016	B	`conf`	A pseudoinverse incremental algorithm for fast training deep neural networks with application to spectra pattern recognition. IJCNN Ke Wang, Ping Guo, Qian Yin, A-Li Luo, Xin Xin
2016	B	`conf`	A rank minimization-based late fusion method for multi-label image annotation. ICPR Yao Yao, Xin Xin, Ping Guo
2016	—	`conf`	An Effective Method for Modeling Two-dimensional Sky Background of LAMOST. Astroinformatics Hasitieer Haerken, Fuqing Duan, Jiannan Zhang, Ping Guo
2016	B	`conf`	Deep neural networks with local connectivity and its application to astronomical spectral data. SMC Ke Wang, Ping Guo, A-Li Luo, Xin Xin, Fuqing Duan
2016	—	`conf`	Energy-Based Multi-plane Detection from 3D Point Clouds. ICONIP (2) Liang Wang, Chao Shen, Fuqing Duan, Ping Guo
2016	C	`conf`	Fine-Grained Real Estate Estimation Based on Mixture Models. ISNN Peng Ji, Xin Xin, Ping Guo
2016	B	`conf`	Image representation via sub-dictionary based sparse coding. IJCNN Bingxin Xu, Qian Yin, Ping Guo, Hongzhe Liu
2016	B	`conf`	Image stitching with single-hidden layer feedforward neural networks. IJCNN Min Yan, Qian Yin, Ping Guo
2016	B	`conf`	Kernel selection with evolutionary algorithm for multiple kernel independent component analysis. IJCNN Peng Wu, Qian Yin, Ping Guo
2016	C	`conf`	Long Exposure Point Spread Function Modeling with Gaussian Processes. ISNN Ping Guo, Jian Yu, Qian Yin
2016	J	`jnl`	Predicting Software Abnormal State by using Classification Algorithm. J. Database Manag. Yongquan Yan, Ping Guo
2016	C	`conf`	Pulsar Candidate Selection by Assembling Positive Sample Emphasized Classifiers. CIS Yao Yao, Xin Xin, Ping Guo
2016	C	`conf`	The Methods for Two-Dimensional Fiber Spectra Extraction. CIS Jianjun Xie, Junhong Li, Hong Wang, Wenyi Zeng, Ping Guo
2015	C	`conf`	A Hybrid Image Feature Descriptor for Classification. CIS Hassan Dawood, Hussain Dawood, Ping Guo
2015	—	`conf`	A comparative study of different feature mapping methods for image annotation. ICACI Yiren Wang, Hassan Dawood, Qian Yin, Ping Guo
2015	J	`jnl`	A pre-selecting base kernel method in multiple kernel learning. Neurocomputing Peng Wu, Fuqing Duan, Ping Guo
2015	—	`conf`	Angular quantization based affinity propagation clustering and its application to astronomical big spectra data. IEEE BigData Ke Wang, Ping Guo, A-Li Luo
2015	—	`conf`	Comparison of linear dimensionality reduction methods in image annotation. ICACI Shiqiang Li, Hussain Dawood, Ping Guo
2015	A*	`conf`	Cross-Domain Collaborative Filtering with Review Text. IJCAI Xin Xin, Zhirun Liu, Chin-Yew Lin, Heyan Huang, Xiaochi Wei, Ping Guo
2015	J	`jnl`	Erratum to: Image Fusion by Hierarchical Joint Sparse Representation. Cogn. Comput. Yao Yao, Ping Guo, Xin Xin, Ziheng Jiang
2015	—	`conf`	Neural Networks with Marginalized Corrupted Hidden Layer. ICONIP (3) Yanjun Li, Xin Xin, Ping Guo
2015	J	`jnl`	Removal of random-valued impulse noise by local statistics. Multim. Tools Appl. Hassan Dawood, Hussain Dawood, Ping Guo
2014	—	`conf`	A Novel Hybridization of Artificial Neural Networks and ARIMA Models for Forecasting Resource Consumption in an IIS Web Server. ISSRE Workshops Yongquan Yan, Ping Guo, Lifeng Liu
2014	—	`conf`	A Practice of Forecasting Software Aging in an IIS Web Server Using SVM. ISSRE Workshops Yongquan Yan, Ping Guo, Lifeng Liu
2014	C	`conf`	A Study of Deep Belief Network Based Chinese Speech Emotion Recognition. CIS Bu Chen, Qian Yin, Ping Guo
2014	C	`conf`	Adaptive regularization deconvolution extraction algorithm for spectral signal processing. INISTA Jian Yu, Ping Guo, A-Li Luo
2014	—	`conf`	An Improved Separating Hyperplane Method with Application to Embedded Intelligent Devices. ICONIP (2) Yanjun Li, Ping Guo, Xin Xin
2014	J	`jnl`	An adaptive regularization method for sparse representation. Integr. Comput. Aided Eng. Bingxin Xu, Ping Guo, C. L. Philip Chen
2014	B	`conf`	An efficient and scalable learning algorithm for Near-Earth objects detection in astronomy big image data. SMC Ke Wang, Ping Guo
2014	C	`conf`	Balance Function Analysis in Variable Weight Decision Making. CIS Deqing Li, Wenyi Zeng, Junhong Li, Ping Guo
2014	J	`jnl`	Combining Local Binary Patterns for Scene Recognition. J. Softw. Minguang Song, Ping Guo
2014	J	`jnl`	Image Fusion by Hierarchical Joint Sparse Representation. Cogn. Comput. Yao Yao, Ping Guo, Xin Xin, Ziheng Jiang
2014	C	`conf`	Image Up-Scaling: Based on Self Similarity and Local Information. CIS Xin Zheng, Chenlei Lv, Qingqing Xu, Ping Guo
2014	B	`conf`	Interval-valued intuitionistic trapezoidal fuzzy number and its application. SMC Junhong Li, Wenyi Zeng, Ping Guo
2014	—	`conf`	Method of Evolving Non-stationary Multiple Kernel Learning. ICONIP (2) Peng Wu, Qian Yin, Ping Guo
2014	J	`jnl`	Optimal Classification of Epileptic EEG Signals Using Neural Networks and Harmony Search Methods. J. Softw. Xiao Zhi Gao, Jing Wang, Jarno M. A. Tanskanen, Rongfang Bie, Xiaolei Wang, Ping Guo, Kai Zenger
2014	J	`jnl`	Removal of high-intensity impulse noise by Weber's law Noise Identifier. Pattern Recognit. Lett. Hussain Dawood, Hassan Dawood, Ping Guo
2014	J	`jnl`	Software Fault Estimation Framework based on aiNet. Int. J. Comput. Intell. Syst. Qian Yin, Ruiyi Luo, Ping Guo
2014	B	`conf`	Supervised topic regression via experts. IJCNN Song Lin, Ping Guo, Xin Xin
2014	—	`conf`	Texture Image Classification with Improved Weber Local Descriptor. ICAISC (1) Hassan Dawood, Hussain Dawood, Ping Guo
2014	J	`jnl`	Texture Superpixels Merging by Color-texture Histograms for Color Image Segmentation. KSII Trans. Internet Inf. Syst. Haifeng Sima, Ping Guo
2013	J	`jnl`	Combining affinity propagation with supervised dictionary learning for image classification. Neural Comput. Appl. Bingxin Xu, Rukun Hu, Ping Guo
2013	J	`jnl`	Covariance Matrix Estimation with Multi-Regularization Parameters based on MDL Principle. Neural Process. Lett. Xiuling Zhou, Ping Guo, C. L. Philip Chen
2013	B	`conf`	Efficient Texture Classification Using Short-Time Fourier Transform with Spatial Pyramid Matching. SMC Hassan Dawood, Hussain Dawood, Ping Guo
2013	J	`jnl`	Feature extraction based on sparse representation with application to epileptic EEG classification. Int. J. Imaging Syst. Technol. Jing Wang, Xiao Zhi Gao, Ping Guo
2013	—	`conf`	Global Matching to Enhance the Strength of Local Intensity Order Pattern Feature Descriptor. ISNN (1) Hassan Dawood, Hussain Dawood, Ping Guo
2013	—	`conf`	Kernel Based Weighted Group Sparse Representation Classifier. HCI (5) Bingxin Xu, Ping Guo, C. L. Philip Chen
2013	A	`conf`	Learning open-domain comparable entity graphs from user search queries. CIKM Ziheng Jiang, Lei Ji, Jianwen Zhang, Jun Yan, Ping Guo, Ning Liu
2013	—	`conf`	Multiple Kernel Learning Method Using MRMR Criterion and Kernel Alignment. ICONIP (1) Peng Wu, Fuqing Duan, Ping Guo
2013	—	`conf`	Rendering scenes with participating media based on RBFs for photon mapping using graphics hardware. VRCAI Yuanlong Wang, Ping Guo
2013	C	`conf`	Texture Region Merging with Histogram Feature for Color Image Segmentation. CIS Haifeng Sima, Ping Guo
2012	J	`jnl`	A completeness analysis of frequent weighted concept lattices and their algebraic properties. Data Knowl. Eng. Sulan Zhang, Ping Guo, Jifu Zhang, Xinxin Wang, Witold Pedrycz
2012	B	`conf`	A multiple scattering in participating media for real time rendering. SMC Ping Guo, Yuanlong Wang
2012	C	`conf`	BP Neural Networks with Harmony Search Method-based Training for Epileptic EEG Signal Classification. CIS Xiao Zhi Gao, Jing Wang, Jarno M. A. Tanskanen, Rongfang Bie, Ping Guo
2012	—	`conf`	Color Image Segmentation Based on Regional Saliency. ICONIP (5) Haifeng Sima, Lixiong Liu, Ping Guo
2012	J	`jnl`	Combining LVQ with SVM technique for image semantic annotation. Neural Comput. Appl. Ping Guo, Ziheng Jiang, Song Lin, Yao Yao
2012	C	`conf`	Epileptic EEG Signal Classification with ANFIS Based on Harmony Search Method. CIS Jing Wang, Xiao Zhi Gao, Jarno M. A. Tanskanen, Ping Guo
2012	B	`conf`	Epileptic EEG signal classification with marching pursuit based on harmony search method. SMC Ping Guo, Jing Wang, Xiao Zhi Gao, Jarno M. A. Tanskanen
2012	C	`conf`	Experimental Comparison of Geometric, Arithmetic and Harmonic Means for EEG Event Related Potential Detection. CIS Jarno M. A. Tanskanen, Xiao Zhi Gao, Jing Wang, Ping Guo, Jari A. K. Hyttinen, Vassil S. Dimitrov
2012	C	`conf`	Fast Multiple Scattering in Participating Media with Beamlet Decomposition. CIS Yuanlong Wang, Ping Guo
2012	C	`conf`	Image Completion with Automatic Structure Propagation. CIS Peipei Pan, Xin Zheng, Qingqing Xu, Ping Guo
2012	—	`conf`	Improved PSO Algorithm with Harmony Search for Complicated Function Optimization Problems. ISNN (1) Jian Yu, Ping Guo
2012	B	`conf`	Learning multiple pooling combination for image classification. IJCNN Junlin Hu, Ping Guo
2012	—	`conf`	OMP or BP? A Comparison Study of Image Fusion Based on Joint Sparse Representation. ICONIP (5) Yao Yao, Xin Xin, Ping Guo
2012	C	`conf`	Parallelization and Optimization of Molecular Dynamics Simulation on Many Integrated Core. CIS Qian Yin, Ruiyi Luo, Ping Guo
2012	C	`conf`	Scene Recognition via Combining Information of Neighbors. CIS Minguang Song, Ping Guo
2012	C	`conf`	Statistical Image Upsampling Method Based on CUDA. CIS Xin Zheng, Qingqing Xu, Peipei Pan, Ping Guo
2012	C	`conf`	Text-independent Speaker Identification Using Fisher Discrimination Dictionary Learning Method. CIS Xia Wang, Qian Yin, Ping Guo
2012	—	`conf`	Texture Segmentation Based on Neuronal Activation Degree of Visual Model. ICONIP (5) Jin Ma, Fuqing Duan, Ping Guo
2011	—	`conf`	A Generalized Subspace Projection Approach for Sparse Representation Classification. ICONIP (2) Bingxin Xu, Ping Guo
2011	B	`conf`	A study of block-global feature based supervised image annotation. SMC Jing He, Ziheng Jiang, Ping Guo, Lixiong Liu
2011	—	`conf`	Building modeling from a single image applied in urban reconstruction. VRCAI Xin Zheng, Xiumin Zhang, Ping Guo
2011	—	`conf`	Color Image Segmentation Based on Blocks Clustering and Region Growing. ICONIP (3) Haifeng Sima, Lixiong Liu, Ping Guo
2011	—	`conf`	Epileptic Electroencephalogram Signal Classification based on Sparse Representation. IJCCI (NCTA) Jing Wang, Ping Guo
2011	—	`conf`	Experimental Studies of Visual Models in Automatic Image Annotation. HCI (1) Ping Guo, Tao Wan, Jin Ma
2011	J	`jnl`	Image modeling with combined optimization techniques for image semantic annotation. Neural Comput. Appl. Dong Yang, Ping Guo
2011	C	`conf`	Multi-Level Kernel Machine for Scene Image Classification. CIS Junlin Hu, Ping Guo
2011	—	`conf`	Multi-regularization Parameters Estimation for Gaussian Mixture Classifier based on MDL Principle. IJCCI (NCTA) Xiuling Zhou, Ping Guo, C. L. Philip Chen
2011	—	`conf`	Performance Analysis of Improved Affinity Propagation Algorithm for Image Semantic Annotation. ISNN (2) Dong Yang, Ping Guo
2011	B	`conf`	Scale estimate of self-organizing map for color image segmentation. SMC Haifeng Sima, Ping Guo, Lixiong Liu
2011	C	`ed.`	Seventh International Conference on Computational Intelligence and Security, CIS 2011, Sanya, Hainan, China, December 3-4, 2011 CIS Yuping Wang, Yiu-ming Cheung, Ping Guo, Yingbin Wei
2011	C	`conf`	Software Fault Prediction Framework Based on aiNet Algorithm. CIS Qian Yin, Ruiyi Luo, Ping Guo
2011	C	`conf`	Sparse Representation for Multi-Label Image Annotation. CIS Bingxin Xu, Ping Guo
2011	J	`jnl`	Speed Up Reliability Model Optimization With Hypervolume Contribution Calculating Algorithm. Intell. Autom. Soft Comput. Xiuling Zhou, Ping Guo, C. L. Philip Chen
2011	—	`conf`	Speed Up Spatial Pyramid Matching Using Sparse Coding with Affinity Propagation Algorithm. ICONIP (3) Rukun Hu, Ping Guo
2010	C	`conf`	Feature data optimization with LVQ technique in semantic image annotation. ISDA Ziheng Jiang, Jing He, Ping Guo
2010	C	`conf`	Kernel ICA applied to feature extraction for image annotation. ISDA Bingxin Xu, Ping Guo
2010	B	`conf`	Modeling multi-source remote sensing image classifier based on the MDL principle: Experimental studies. SMC Huaiying Xia, Rukun Hu, Bingxin Xu, Ping Guo
2010	—	`conf`	Optimization of Training Samples with Affinity Propagation Algorithm for Multi-class SVM Classification. ISNN (2) Guangjun Lv, Qian Yin, Bingxin Xu, Ping Guo
2010	—	`conf`	RANSAC Based Ellipse Detection with Application to Catadioptric Camera Calibration. ICONIP (2) Fuqing Duan, Liang Wang, Ping Guo
2010	B	`conf`	Remote sensing image fusion based on multi-objective evolutionary algorithm. SMC Xiuling Zhou, Mengxin Song, Ping Guo, Li Yao
2010	—	`conf`	Software Defect Prediction Using Fuzzy Support Vector Regression. ISNN (2) Zhen Yan, Xinyu Chen, Ping Guo
2010	—	`conf`	Speed Up Image Annotation Based on LVQ Technique with Affinity Propagation Algorithm. ICONIP (2) Song Lin, Yao Yao, Ping Guo
2009	—	`conf`	A Batch Constructing Method of Weighted Concept Lattice Based on Deviance Analysis. CIS (1) Sulan Zhang, Ping Guo, Jifu Zhang, Xinxin Wang
2009	B	`conf`	A Shadow Detection Method for Remote Sensing Images Using Affinity Propagation Algorithm. SMC Xinyu Chen, Huaiying Xia, Ping Guo
2009	—	`conf`	A fusion method for multispectral and panchromatic images based on HSI and Contourlet transformation. WIAMIS Mengxin Song, Xinyu Chen, Ping Guo
2009	—	`conf`	An Ortho-Rectification Method for Space-Borne SAR Image with Imaging Equation. HCI (6) Xufei Gao, Xinyu Chen, Ping Guo
2009	—	`conf`	Decomposition Mixed Pixels of Remote Sensing Image Based on 2-DWT and Kernel ICA. ICONIP (1) Huaiying Xia, Ping Guo
2009	—	`conf`	Improvement of Image Modeling with Affinity Propagation Algorithm for Semantic Image Annotation. ICONIP (1) Dong Yang, Ping Guo
2009	B	`conf`	Investigating Visual Feature Extraction Methods for Image Annotation. SMC Rukun Hu, Shuai Shao, Ping Guo
2009	—	`conf`	Iris Feature Extraction Based on the Complete 2DPCA. ISNN (2) Xiuli Xu, Ping Guo
2009	—	`conf`	Iris Image Analysis Based on Affinity Propagation Algorithm. ISNN (2) Huabiao Xiao, Ping Guo
2009	J	`jnl`	Studies on the distribution of the shortest linear recurring sequences. Inf. Sci. Qian Yin, Zhiyong Yuan, Ping Guo
2008	—	`conf`	A Comparative Study on Clustering Algorithms for Multispectral Remote Sensing Image Recognition. ISNN (1) Lintao Wen, Xinyu Chen, Ping Guo
2008	J	`jnl`	A study of regularized Gaussian classifier in high-dimension small sample set case based on MDL principle with application to spectrum recognition. Pattern Recognit. Ping Guo, Yunde Jia, Michael R. Lyu
2008	—	`conf`	Ant Colony Optimization Algorithm for Feature Selection and Classification of Multispectral Remote Sensing Image. IGARSS (2) Lintao Wen, Qian Yin, Ping Guo
2008	—	`conf`	Blind Image Restoration Using Divisional Regularization and Wavelet Technique. ICNC (5) Lingwei Chen, Xinyu Chen, Ping Guo
2008	B	`conf`	Combining LPP with PCA for microarray data clustering. IEEE Congress on Evolutionary Computation Chuanliang Chen, Rongfang Bie, Ping Guo
2008	B	`conf`	Complete two-dimensional principal component analysis for image registration. SMC Anbang Xu, Xinyu Chen, Ping Guo
2008	—	`conf`	ECoG Analysis with Affinity Propagation Algorithm. ICNC (5) Yuan Yuan, Anbang Xu, Ping Guo, Jia-cai Zhang
2008	—	`conf`	Experimental Study of Discriminant Method with Application to Fault-Prone Module Detection. CIS (1) Gege Guo, Ping Guo
2008	—	`conf`	Improving Depth Resolution of Diffuse Optical Tomography with Intelligent Method. ICIC (1) Hai-Jing Niu, Ping Guo, Tian-Zi Jiang
2008	—	`conf`	Methodology for Reliability Evaluation of N-Version Programming Software Fault Tolerance System. CSSE (2) Ping Guo, Xin Liu, Qian Yin
2008	J	`jnl`	Normalized distance, similarity measure, inclusion measure and entropy of interval-valued fuzzy sets and their relationship. Inf. Sci. Wenyi Zeng, Ping Guo
2008	B	`conf`	Software quality prediction using Affinity Propagation algorithm. IJCNN Bingbing Yang, Qian Yin, Shengyong Xu, Ping Guo
2008	—	`conf`	Voronoi-Based Sleeping Configuration in Wireless Sensor Networks with Location Error. ICNSC Xinyu Chen, Michael R. Lyu, Ping Guo
2007	—	`conf`	A New Cascade Software Reliability Model. ICNC (3) Qian Yin, Jiang Li, Kim Ho Bom, Ping Guo
2007	J	`jnl`	A hierarchical mixture model for software reliability prediction. Appl. Math. Comput. Shaoming Li, Qian Yin, Ping Guo, Michael R. Lyu
2007	J	`jnl`	Blind Image Restoration by Combining Wavelet Transform and RBF Neural Network. Int. J. Wavelets Multiresolution Inf. Process. Ping Guo, Hongzhai Li, Michael R. Lyu
2007	B	`conf`	Comparative studies of Feature Extraction methods with application to face recognition. SMC Yunfei Jiang, Ping Guo
2007	J	`jnl`	Empirically Validating Software Metrics for Risk Prediction Based on Intelligent Methods. J. Digit. Inf. Manag. Zhihong Xu, Xin Zheng, Ping Guo
2007	—	`conf`	Further Studies on the Distribution of the Shortest Linear Recurring Sequences for the Stream Cipher over the Ring. ICIC (3) Qian Yin, Zhiyong Yuan, Ping Guo
2007	J	`jnl`	Multi-Source Remote Sensing Classification Based on Mallat Fusion and Residual Error Feature Selection. J. Digit. Inf. Manag. Dongdong Cao, Qian Yin, Ping Guo
2007	—	`conf`	Palette-Style Volume Visualization. VG@Eurographics Yingcai Wu, Anbang Xu, Ming-Yuen Chan, Huamin Qu, Ping Guo
2007	—	`conf`	Regularization Versus Dimension Reduction, Which Is Better? ISNN (2) Yunfei Jiang, Ping Guo
2007	J	`jnl`	Visual Analysis of the Air Pollution Problem in Hong Kong. IEEE Trans. Vis. Comput. Graph. Huamin Qu, Wing-Yi Chan, Anbang Xu, Kai-Lun Chung, Alexis Kai-Hon Lau, Ping Guo
2006	B	`conf`	A Fast Mean Shift Procedure with New Iteration Strategy and Re-sampling. SMC Huimin Guo, Ping Guo, Hanqing Lu
2006	—	`conf`	Complete Two-Dimensional PCA for Face Recognition. ICPR (3) Anbang Xu, Xin Jin, Yugang Jiang, Ping Guo
2006	—	`conf`	Empirically Validating Software Metrics for Risk Prediction Based on Intelligent Methods. ISDA (1) Zhihong Xu, Xin Zheng, Ping Guo
2006	—	`conf`	Image Registration with Regularized Neural Network. ICONIP (2) Anbang Xu, Ping Guo
2006	—	`conf`	Isomap and Neural Networks Based Image Registration Scheme. ISNN (2) Anbang Xu, Ping Guo
2006	B	`conf`	KICA Feature Extraction in Application to FNN based Image Registration. IJCNN Anbang Xu, Xin Jin, Ping Guo, Rongfang Bie
2006	B	`conf`	Kernel ICA Feature Extraction for Spectral Recognition of Celestial Objects. SMC Ling Bai, Anbang Xu, Ping Guo, Yunde Jia
2006	—	`conf`	Kernel Independent Component Analysis for Gene Expression Data Clustering. ICA Xin Jin, Anbang Xu, Rongfang Bie, Ping Guo
2006	—	`conf`	Machine Learning Techniques and Chi-Square Feature Selection for Cancer Classification Using SAGE Gene Expression Profiles. BioDM Xin Jin, Anbang Xu, Rongfang Bie, Ping Guo
2006	—	`conf`	Mallat Fusion for Multi-Source Remote Sensing Classification. ISDA (1) Dongdong Cao, Qian Yin, Ping Guo
2006	—	`conf`	Residual Error based Approach to Classification of Multisource Remote Sensing Images. ISDA (2) Dongdong Cao, Ping Guo
2006	—	`conf`	Software Metrics Data Clustering for Quality Prediction. ICIC (2) Bingbing Yang, Xin Zheng, Ping Guo
2006	—	`conf`	Two-Dimensional PCA Combined with PCA for Neural Network Based Image Registration. ICNC (2) Anbang Xu, Xin Jin, Ping Guo
2005	A	`conf`	A Novel Method for Early Software Quality Prediction Based on Support Vector Machine. ISSRE Fei Xing, Ping Guo, Michael R. Lyu
2005	B	`conf`	Comparative Studies on Feature Extraction Methods for Multispectral Remote Sensing Image Classification. SMC Yanqin Tian, Ping Guo, Michael R. Lyu
2005	B	`conf`	Defocused image restoration using RBF network and Kalman filter. SMC Yugang Jiang, Qing Wu, Ping Guo
2005	—	`conf`	Mixture of Experts for Stellar Data Classification. ISNN (2) Yugang Jiang, Ping Guo
2005	—	`conf`	Special Distribution of the Shortest Linear Recurring Sequences in CIS (2) Qian Yin, Yunlun Luo, Ping Guo
2005	—	`conf`	Support Vector Regression for Software Reliability Growth Modeling and Prediction. ISNN (1) Fei Xing, Ping Guo
2004	J	`jnl`	A pseudoinverse learning algorithm for feedforward neural networks with stacked generalization applications to software reliability growth data. Neurocomputing Ping Guo, Michael R. Lyu
2004	—	`conf`	Blind image restoration based on RBF neural networks. Image Processing: Algorithms and Systems Ping Guo, Lei Xing
2004	—	`conf`	Classification of Stellar Spectral Data Using SVM. ISNN (1) Fei Xing, Ping Guo
2004	—	`conf`	Comparative studies on similarity measures for remote sensing image retrieval. SMC (1) Qian Bao, Ping Guo
2004	—	`conf`	Image De-noising Using Cross-Validation Method with RBF Network Representation. ISNN (2) Ping Guo, Hongzhai Li
2004	—	`conf`	Spectral Analysis and Recognition Using Multi-scale Features and Neural Networks. ISNN (2) Yugang Jiang, Ping Guo
2004	—	`conf`	Stellar data classification using SVM with wavelet transformation. SMC (6) Ping Guo, Fei Xing, Yugang Jiang
2003	J	`jnl`	Regularization parameter estimation for feedforward neural networks. IEEE Trans. Syst. Man Cybern. Part B Ping Guo, Michael R. Lyu, C. L. Philip Chen
2002	J	`jnl`	Cluster number selection for a small set of samples using the Bayesian Ying-Yang model. IEEE Trans. Neural Networks Ping Guo, C. L. Philip Chen, Michael R. Lyu
2002	—	`—`	Studies of model selection and regularization for generalization in neural networks with applications. Ping Guo
2000	—	`conf`	Software Quality Prediction Using Mixture Models with EM Algorithm. APAQS Ping Guo, Michael R. Lyu