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ORCIDPing Guo 0002
Person information
- affiliation: Beijing Normal University, Image Processing Pattern Recognition Laboratory, China
- affiliation (PhD 2002): Chinese University of Hong Kong, Hong Kong
Other persons with the same name
- Ping Guo — disambiguation page
- Ping Guo 0001 — University of Paderborn, Germany
- Ping Guo 0003
![[0000-0002-5239-8896]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-5239-8896")
— Chongqing University, College of Computer Science, China - Ping Guo 0004 — China Agricultural University, College of Water Conservancy and Civil Engineering, Beijing, China (and 1 more)
- Ping Guo 0005 — Dalian University of Technology, School of Mathematical Sciences, Liaoning, China
- Ping Guo 0006 — Shijiazhuang Tiedao University, School of Economics and Management, Shijiazhuang, Hebei, China
- Ping Guo 0007 — City University of Hong Kong, Hong Kong, SAR, China
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2020 – today
- 2024
[j65]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)- [j64]Hongbing Xia, Jiaxu Hou, Ping Guo:
Two-Level Local Observer-Based Decentralized Optimal Fault Tolerant Tracking Control for Unknown Nonlinear Interconnected Systems. IEEE Trans. Syst. Man Cybern. Syst. 54(3): 1779-1790 (2024) - [j63]Zhenjiao Cai, Sulan Zhang, Ping Guo, Jifu Zhang, Lihua Hu:
A Progressive Stacking Pseudoinverse Learning Framework via Active Learning in Random Subspaces. IEEE Trans. Syst. Man Cybern. Syst. 54(5): 2822-2832 (2024) - [j62]Liao Zhu, Qinglai Wei, Ping Guo:
Online Off-Policy Reinforcement Learning for Optimal Control of Unknown Nonlinear Systems Using Neural Networks. IEEE Trans. Syst. Man Cybern. Syst. 54(8): 5112-5122 (2024) - [j61]Zhenjiao Cai, Sulan Zhang, Ping Guo, Jifu Zhang, Lihua Hu:
AM-RP Stacking PILers: Random projection stacking pseudoinverse learning algorithm based on attention mechanism. Vis. Comput. 40(1): 273-285 (2024) - [c190]Ping Guo, Yubing Ren, Yue Hu, Yunpeng Li, Jiarui Zhang, Xingsheng Zhang, Heyan Huang:
Teaching Large Language Models to Translate on Low-resource Languages with Textbook Prompting. LREC/COLING 2024: 15685-15697 - [c189]Jiarui Zhang, Heyan Huang, Yue Hu, Ping Guo:
Enhancing Zero-Shot Translation in Multilingual Neural Machine Translation: Focusing on Obtaining Location-Agnostic Representations. ICANN (7) 2024: 194-208 - [c188]Xingsheng Zhang, Yifan Deng, Yue Hu, Yunpeng Li, Ping Guo:
Overcoming Rigid and Monotonous: Enhancing Knowledge-Grounded Conversation Generation via Multi-granularity Knowledge. NLPCC (1) 2024: 3-15 - [c187]Ping Guo, Yubing Ren, Yue Hu, Yanan Cao, Yunpeng Li, Heyan Huang:
Steering Large Language Models for Cross-lingual Information Retrieval. SIGIR 2024: 585-596 - [c186]Ping Guo, Yue Hu, Yanan Cao, Yubing Ren, Yunpeng Li, Heyan Huang:
Query in Your Tongue: Reinforce Large Language Models with Retrievers for Cross-lingual Search Generative Experience. WWW 2024: 1529-1538 - 2023
- [j60]Sulan Zhang, Jifu Zhang, Jianeng Li, Ping Guo, Witold Pedrycz:
A user-guided reduction concept lattice and its algebraic structure. Expert Syst. Appl. 217: 119537 (2023) - [j59]Haifeng Sima, Feng Gao, Yudong Zhang, Junding Sun, Ping Guo:
Collaborative optimization of spatial-spectrum parallel convolutional network (CO-PCN) for hyperspectral image classification. Int. J. Mach. Learn. Cybern. 14(7): 2353-2366 (2023) - [j58]Xiaoxuan Sun, Bo Chen, Rundong Shi, Qian Yin, Ping Guo:
A progressively-enhanced framework to broad networks for efficient recognition applications. Multim. Tools Appl. 82(16): 24865-24890 (2023) - [j57]Xiaoxuan Sun, Xiaodan Deng, Qian Yin, Ping Guo:
An improved parameter learning methodology for RVFL based on pseudoinverse learners. Neural Comput. Appl. 35(2): 1803-1818 (2023) - [j56]Liao Zhu, Ping Guo, Qinglai Wei:
Synergetic learning for unknown nonlinear H∞ control using neural networks. Neural Networks 168: 287-299 (2023) - [c185]Yunpeng Li, Yue Hu, Yajing Sun, Luxi Xing, Ping Guo, Yuqiang Xie, Wei Peng:
Learning to Know Myself: A Coarse-to-Fine Persona-Aware Training Framework for Personalized Dialogue Generation. AAAI 2023: 13157-13165 - [c184]Botian Jiang, Chunyang Wang, Yuanyuan Fu, Hai-Lin Liu, Ping Guo, Yuping Wang:
A Space-Saving Based MLCS Algorithm. DASC/PiCom/CBDCom/CyberSciTech 2023: 589-594 - [c183]Ping Guo, Yue Hu, Yubing Ren, Yunpeng Li, Jiarui Zhang, Xingsheng Zhang:
Mitigating Long-Tail Language Representation Collapsing via Cross-Lingual Bootstrapped Unsupervised Fine-Tuning. ECAI 2023: 940-947 - [c182]Xiangjing Hu, Congjian Luo, Dun Zeng, Zenglin Xu, Ping Guo, Irwin King:
Flexible Contribution Estimation Methods for Horizontal Federated Learning. IJCNN 2023: 1-8 - [c181]Jiarui Zhang, Heyan Huang, Yue Hu, Ping Guo, Yuqiang Xie:
Importance-Based Neuron Selective Distillation for Interference Mitigation in Multilingual Neural Machine Translation. KSEM (4) 2023: 140-150 - [c180]Ping Guo, Xiangpeng Wei, Yue Hu, Baosong Yang, Dayiheng Liu, Fei Huang, Jun Xie:
EMMA-X: An EM-like Multilingual Pre-training Algorithm for Cross-lingual Representation Learning. NeurIPS 2023 - [c179]Jiaxu Hou, Liao Zhu, Ping Guo:
Event-Triggered Near Optimal Output Feedback Control for Constrained Discrete-Time Systems Via an Iterative Adaptive Algorithm. SMC 2023: 2327-2332 - [i10]Ping Guo, Xiangpeng Wei, Yue Hu, Baosong Yang, Dayiheng Liu, Fei Huang, Jun Xie:
EMMA-X: An EM-like Multilingual Pre-training Algorithm for Cross-lingual Representation Learning. CoRR abs/2310.17233 (2023) - 2022
- [j55]Hongbing Xia, Bo Zhao, Ping Guo:
Synergetic learning structure-based neuro-optimal fault tolerant control for unknown nonlinear systems. Neural Networks 155: 204-214 (2022) - [j54]Qian Yin, Bingxin Xu, Kaiyan Zhou, Ping Guo:
Bayesian Pseudoinverse Learners: From Uncertainty to Deterministic Learning. IEEE Trans. Cybern. 52(11): 12205-12216 (2022) - [j53]Haifeng Sima, Jing Wang, Ping Guo, Junding Sun, Hongmin Liu, Mingliang Xu, Youfeng Zou:
Composite Kernel of Mutual Learning on Mid-Level Features for Hyperspectral Image Classification. IEEE Trans. Cybern. 52(11): 12217-12230 (2022) - [c178]Ping Guo, Jiaxu Hou, Bo Zhao:
Methodologies of building synergetic learning systems. CIS 2022: 200-204 - [c177]Ping Guo, Yue Hu, Xiangpeng Wei, Yubing Ren, Yunpeng Li, Luxi Xing, Yuqiang Xie:
Guiding Neural Machine Translation with Semantic Kernels. EMNLP (Findings) 2022: 7316-7327 - [c176]Yuqiang Xie, Yue Hu, Luxi Xing, Yunpeng Li, Wei Peng, Ping Guo:
CLseg: Contrastive Learning of Story Ending Generation. ICASSP 2022: 8057-8061 - [c175]Yunpeng Li, Yue Hu, Ping Guo:
A Robust De-noising Method via Training Loss for Distantly Supervised Relation Extraction. IJCNN 2022: 1-9 - [c174]Liao Zhu, Jingsheng Xu, Ping Guo:
Data-Driven Suboptimal Control for Nonlinear Systems Using State-Dependent Riccati Equation. SMC 2022: 2845-2850 - [i9]Yuqiang Xie, Yue Hu, Luxi Xing, Yunpeng Li, Wei Peng, Ping Guo:
CLSEG: Contrastive Learning of Story Ending Generation. CoRR abs/2202.09049 (2022) - [i8]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) - 2021
- [j52]Ke Wang, Ping Guo:
A Robust Automated Machine Learning System with Pseudoinverse Learning. Cogn. Comput. 13(3): 724-735 (2021) - [j51]Shufeng Hao, Chongyang Shi, Longbing Cao, Zhendong Niu, Ping Guo:
Learning deep relevance couplings for ad-hoc document retrieval. Expert Syst. Appl. 183: 115335 (2021) - [j50]Xiaodan Deng, Mohammed A. B. Mahmoud, Qian Yin, Ping Guo:
An efficient and effective deep convolutional kernel pseudoinverse learner with multi-filter. Neurocomputing 457: 74-83 (2021) - [j49]Wenyi Zeng, Yue Xi, Qian Yin, Ping Guo:
Weighted dual hesitant fuzzy set and its application in group decision making. Neurocomputing 458: 714-726 (2021) - [j48]Yanan Liu, Yun Tian, Yang Xu, Shifeng Zhao, Yapei Huang, Yachun Fan, Fuqing Duan, Ping Guo:
TPGN: A Time-Preference Gate Network for e-commerce purchase intention recognition. Knowl. Based Syst. 220: 106920 (2021) - [j47]Mohammed A. B. Mahmoud, Ping Guo, Ahmed Fathy, Kan Li:
SRCNN-PIL: Side Road Convolution Neural Network Based on Pseudoinverse Learning Algorithm. Neural Process. Lett. 53(6): 4225-4237 (2021) - [j46]Mohammed A. B. Mahmoud, Ping Guo:
DNA sequence classification based on MLP with PILAE algorithm. Soft Comput. 25(5): 4003-4014 (2021) - [j45]Ke Wang, Ping Guo:
An Ensemble Classification Model With Unsupervised Representation Learning for Driving Stress Recognition Using Physiological Signals. IEEE Trans. Intell. Transp. Syst. 22(6): 3303-3315 (2021) - [c173]Hongbing Xia, Jinzhou Bao, Ping Guo:
Asymptotically Stable Fault Tolerant Control for Nonlinear Systems Through Differential Game Theory. CIS 2021: 262-266 - [c172]Jinzhou Bao, Bo Zhao, Ping Guo:
Kernel-Based Autoencoders for Large-Scale Representation Learning. ICRAI 2021: 112-117 - [i7]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) - 2020
- [j44]Lei Qiao, Xuesong Li, Qasim Umer, Ping Guo:
Deep learning based software defect prediction. Neurocomputing 385: 100-110 (2020) - [j43]Hussain Dawood, Hassan Dawood, Ping Guo, Rashid Mehmood, Ali Daud, Abdullah Alamri, Jalal S. Alowibdi:
Probability weighted moments regularization based blind image De-blurring. Multim. Tools Appl. 79(7-8): 4483-4498 (2020) - [j42]Mohammed A. B. Mahmoud, Ping Guo, Ke Wang:
Pseudoinverse learning autoencoder with DCGAN for plant diseases classification. Multim. Tools Appl. 79(35-36): 26245-26263 (2020) - [c171]Bo Zhao, Jiaxu Hou, Ping Guo, Derong Liu, Yancai Xu:
Approximate Optimal Control of Nonlinear Systems with Mismatched Perturbations Based on Asymptotically Stable Critic Neural Network. ICCDE 2020: 60-64 - [c170]Xin Liu, Zenglin Xu, Ping Guo:
Causal Inference for Mixed-Type Data in Additive Noise Models. ICONIP (2) 2020: 223-234 - [c169]Ping Guo, Yue Hu, Yunpeng Li:
MG-BERT: A Multi-glosses BERT Model for Word Sense Disambiguation. KSEM (2) 2020: 263-275 - [c168]Xiaoxuan Sun, Rundong Shi, Bo Zhao, Ping Guo:
Boosting and Residual Learning Scheme with Pseudoinverse Learners. SMC 2020: 2136-2141 - [c167]Yanping Wang, Xin Xin, Ping Guo:
An Empirical Study of Pre-trained Embedding on Ultra-Fine Entity Typing. SMC 2020: 2656-2661 - [c166]Xiangpeng Wei, Ping Guo, Yunpeng Li, Xingsheng Zhang, Luxi Xing, Yue Hu:
IIE's Neural Machine Translation Systems for WMT20. WMT@EMNLP 2020: 300-304 - [i6]Jiali Xu, Qian Yin, Ping Guo, Xin Zheng:
Two-dimensional Multi-fiber Spectrum Image Correction Based on Machine Learning Techniques. CoRR abs/2002.06600 (2020) - [i5]Ping Guo, Qian Yin:
Synergetic Learning Systems: Concept, Architecture, and Algorithms. CoRR abs/2006.06367 (2020)
2010 – 2019
- 2019
- [j41]Mohammed A. B. Mahmoud, Ping Guo:
A Novel Method for Traffic Sign Recognition Based on DCGAN and MLP With PILAE Algorithm. IEEE Access 7: 74602-74611 (2019) - [j40]Xiuling Zhou, Bingxin Xu, Ping Guo, Ning He:
Multi-channel expected patch log likelihood for color image denoising. Neurocomputing 367: 130-143 (2019) - [c165]Li-Jiao Wu, Zhi-Hui Zhan, Xiao-Min Hu, Ping Guo, Yanchun Zhang, Jun Zhang:
Multi-runway Aircraft Arrival Scheduling: A Receding Horizon Control Based Ant Colony System Approach. CEC 2019: 538-545 - [c164]Xiaoyu Dong, Xin Xin, Ping Guo:
Chinese NER by Span-Level Self-Attention. CIS 2019: 68-72 - [c163]Yan Wang, Xin Xin, Ping Guo:
Relation Extraction via Attention-Based CNNs using Token-Level Representations. CIS 2019: 113-117 - [c162]Wenyi Zeng, Guangchen Song, Qian Yin, Ping Guo:
Some new Distance Measures of Hesitant Fuzzy Sets and its Application in Group Decision Making. CIS 2019: 118-122 - [c161]Jiali Xu, Qian Yin, Ping Guo, Xin Zheng:
Effective Pulsar Dispersion Measure Estimation Based on Progressive Probabilistic Hough Transform. CIS 2019: 247-251 - [c160]Xiaodan Deng, Xiaoxuan Sun, Ping Guo, Qian Yin:
Image Recognition Based on Combined Filters with Pseudoinverse Learning Algorithm. AIAI 2019: 202-209 - [c159]Ping Guo, Dongbin Zhao, Min Han, Shoubo Feng:
Pseudoinverse Learners: New Trend and Applications to Big Data. INNSBDDL 2019: 158-168 - [c158]Xinrui Jiang, Sitian Qin, Ping Guo:
A Gradient-Descent Neurodynamic Approach for Distributed Linear Programming. ISNN (2) 2019: 45-53 - [c157]Sibo Feng, Xiaodan Deng, Ping Guo, Bo Zhao, Qian Yin, Hongfeng Wang:
An Ensemble Model for Error Modeling with Pseudoinverse Learning Algorithm. SMC 2019: 1893-1898 - [c156]Ping Guo, Bo Zhao:
An Unified View on the Feedforward Neural Network Architecture. ICSI (2) 2019: 173-180 - 2018
- [j39]Ping Guo, Yuping Wang, Hai-Lin Liu, Yiu-ming Cheung:
Computational Intelligence in Astronomy: Preface. Int. J. Comput. Intell. Syst. 11(1): 573-574 (2018) - [j38]Ke Wang, Ping Guo, Fusheng Yu, Lingzi Duan, Yuping Wang, Hui Du:
Computational Intelligence in Astronomy: A Survey. Int. J. Comput. Intell. Syst. 11(1): 575-590 (2018) - [j37]Rubab Mehboob, Hassan Dawood, Hussain Dawood, Muhammad Usman Ilyas, Ping Guo, Ameen Banjar:
Live fingerprint detection using magnitude of perceived spatial stimuli and local phase information. J. Electronic Imaging 27(05): 053038 (2018) - [j36]Yongquan Yan, Ping Guo, Bin Cheng, Zhigao Zheng:
An experimental case study on the relationship between workload and resource consumption in a commercial web server. J. Comput. Sci. 25: 183-192 (2018) - [j35]Yanjun Li, Ping Guo:
Training neural networks by marginalizing out hidden layer noise. Neural Comput. Appl. 29(9): 401-412 (2018) - [j34]Haifeng Sima, Ping Guo, Youfeng Zou, Zhiheng Wang, Mingliang Xu:
Bottom-Up Merging Segmentation for Color Images With Complex Areas. IEEE Trans. Syst. Man Cybern. Syst. 48(3): 354-365 (2018) - [c155]Shijia Li, Sibo Feng, Ping Guo, Qian Yin:
A Hierarchical Model with Pseudoinverse Learning Algorithm Optimazation for Pulsar Candidate Selection. CEC 2018: 1-6 - [c154]Bingxin Xu, Ping Guo:
Pseudoinverse Learning Algorithom for Fast Sparse Autoencoder Training. CEC 2018: 1-6 - [c153]Asif Mehmood, Muhammad Javed Iqbal, Hassan Dawood, Ping Guo:
Computationally Efficient Low Power Neuron Model for Digital Brain. CIS 2018: 1-5 - [c152]Wenyi Zeng, Yue Xi, Qian Yin, Ping Guo:
Weighted Dual Hesitant Fuzzy Sets and Its Application in Group Decision Making. CIS 2018: 77-82 - [c151]Xiaoqiao Zhang, Xiuling Zhou, Ping Guo:
Hyperspectral Image Denoising Based on Low Rank and Expected Patch Log Likelihood. CIS 2018: 100-105 - [c150]Peng Wu, Qian Yin, Ping Guo:
A Two-Dimensional Sky Background Model for LAMOST Based on Improved KICA. CIS 2018: 476-480 - [c149]Zhen Wang, Qian Yin, Ping Guo, Xin Zheng:
Flux Extraction Based on General Regression Neural Network for Two-Dimensional Spectral Image. HCI (28) 2018: 219-226 - [c148]Xiaodan Deng, Sibo Feng, Ping Guo, Qian Yin:
Fast Image Recognition with Gabor Filter and Pseudoinverse Learning AutoEncoders. ICONIP (6) 2018: 501-511 - [c147]Yaran Chen, Dongbin Zhao, Haoran Li, Dong Li, Ping Guo:
A temporal-based deep learning method for multiple objects detection in autonomous driving. IJCNN 2018: 1-6 - [c146]Jue Wang, Ping Guo, Xin Xin:
Review of Pseudoinverse Learning Algorithm for Multilayer Neural Networks and Applications. ISNN 2018: 99-106 - [c145]Cuihua Ma, Ping Guo, Xin Xin:
Personalized Response Generation for Customer Service Agents. ISNN 2018: 476-483 - [c144]Bingxin Xu, Ping Guo:
Broad and Pseudoinverse Learning for Autoencoder. SMC 2018: 4243-4247 - [c143]Rui Wang, Ping Guo, Xin Fan, Biao Li, Wei Zhang, Xin Xin:
Listwise Click-Through Rate Prediction with Item-Item Interactions. SMC 2018: 4417-4423 - [c142]Deyi Wang, Jianchao Fan, Min Han, Ping Guo, Yuzhen Lu:
Marine Floating Raft Aquaculture Back Scattering Feature Analysis Based On ISAR Imagery. SSCI 2018: 1902-1905 - [c141]Jie Gao, Xin Xin, Junshuai Liu, Rui Wang, Jing Lu, Biao Li, Xin Fan, Ping Guo:
Fine-Grained Deep Knowledge-Aware Network for News Recommendation with Self-Attention. WI 2018: 81-88 - [i4]Li Siyao, Dongwei Ren, Zijian Hu, Junfeng Li, Qian Yin, Ping Guo:
A Concatenated Residual Network for Image Deblurring. CoRR abs/1804.06042 (2018) - [i3]Ping Guo, Xiuling Zhou, Ke Wang:
PILAE: A Non-gradient Descent Learning Scheme for Deep Feedforward Neural Networks. CoRR abs/1811.01545 (2018) - 2017
- [j33]Hussain Dawood, Hassan Dawood, Ping Guo:
Generalization of impulse noise removal. Int. Arab J. Inf. Technol. 14(5): 698-706 (2017) - [j32]Xin Zheng, Chenlei Lv, Qingqing Xu, Peipei Pan, Ping Guo:
A GPU-based statistical image up-sampling method by using edge templates. Int. J. Comput. Sci. Eng. 14(1): 64-73 (2017) - [c140]Qiang Pan, Ping Guo, Xin Xin, Junshuai Liu:
Extracting Company-Specific Keyphrases from News Media. CIS 2017: 135-139 - [c139]Hang Yu, Zhen Wang, Qian Yin, Ping Guo:
A Comprehensive Study of Blind and Non-blind Deconvolution Methods Applied to Spectrum Extraction. CIS 2017: 484-487 - [c138]Muhammad Waqar, Hassan Dawood, Ping Guo, Muhammad Bilal Shahnawaz, Mustansar Ali Ghazanfar:
Prediction of Stock Market by Principal Component Analysis. CIS 2017: 599-602 - [c137]Rehan Mehmood Yousaf, Saad Rehman, Hassan Dawood, Ping Guo, Zahid Mehmood, Shoaib Azam, Abdullah Aman Khan:
Saliency Based Object Detection and Enhancements in Static Images. ICISA 2017: 114-123 - [c136]Xiuling Zhou, Jing Wang, Ping Guo, C. L. Philip Chen:
Mixture of Matrix Normal Distributions for Color Image Inpainting. ICONIP (3) 2017: 95-104 - [c135]Sibo Feng, Shijia Li, Ping Guo, Qian Yin:
Image Recognition with Histogram of Oriented Gradient Feature and Pseudoinverse Learning AutoEncoders. ICONIP (6) 2017: 740-749 - [c134]Hang Yu, Qian Yin, Ping Guo:
Pulsar Bayesian Model: A Comprehensive Astronomical Data Fitting Model. ICONIP (1) 2017: 904-911 - [c133]Hang Yu, Qian Yin, Ping Guo:
Enlightening the Relationship Between Distribution and Regression Fitting. IFIP TC12 ICIS 2017: 222-227 - [c132]Mingze Li, Hasitieer Haerken, Ping Guo, Fuqing Duan, Qian Yin, Xin Zheng:
Two-dimensional spectral image calibration based on feed-forward neural network. IJCNN 2017: 4194-4201 - [c131]Cuihua Ma, Ping Guo, Xin Xin, Xiaoyu Ma, Yanjie Liang, Shaomin Xing, Li Li, Shaozhuang Liu:
Collaborative Response Content Recommendation for Customer Service Agents. ISNN (1) 2017: 36-43 - [c130]Jian Hu, Xin Xin, Ping Guo:
LSTM with Matrix Factorization for Road Speed Prediction. ISNN (1) 2017: 242-249 - [c129]Kuai Zhang, Xin Xin, Pei Luo, Ping Guo:
Fine-grained news recommendation by fusing matrix factorization, topic analysis and knowledge graph representation. SMC 2017: 918-923 - [c128]Pei Luo, Xin Xin, Kuai Zhang, Ping Guo, Yang Yu, Zichao Wang:
Predicting the number of driving service orders in fine-grained regions by an ensemble multi-view-based model. SMC 2017: 936-941 - [c127]Ke Wang, Ping Guo, Xin Xin, Zebin Ye:
Autoencoder, low rank approximation and pseudoinverse learning algorithm. SMC 2017: 948-953 - [i2]Li Si-Yao, Qian Yin, Ping Guo:
Understanding and Eliminating the Large-kernel Effect in Blind Deconvolution. CoRR abs/1706.01797 (2017) - [i1]Ping Guo, Fuqing Duan, Pei Wang, Yao Yao, Xin Xin:
Pulsar Candidate Identification with Artificial Intelligence Techniques. CoRR abs/1711.10339 (2017) - 2016
- [j31]Yongquan Yan, Ping Guo:
Predicting Software Abnormal State by using Classification Algorithm. J. Database Manag. 27(2): 49-65 (2016) - [j30]Sulan Zhang, Jifu Zhang, Ping Guo, Meng Chu, Kai-Hsiung Chang:
A FWCL-based method for visual vocabulary formation. Multim. Tools Appl. 75(1): 647-665 (2016) - [j29]Yuanlong Wang, Ping Guo, Fuqing Duan:
A fast ray tracing algorithm based on a hybrid structure. Multim. Tools Appl. 75(4): 1883-1898 (2016) - [c126]Hasitieer Haerken, Fuqing Duan, Jiannan Zhang, Ping Guo:
An Effective Method for Modeling Two-dimensional Sky Background of LAMOST. Astroinformatics 2016: 63-66 - [c125]Yao Yao, Xin Xin, Ping Guo:
Pulsar Candidate Selection by Assembling Positive Sample Emphasized Classifiers. CIS 2016: 120-124 - [c124]Jianjun Xie, Junhong Li, Hong Wang, Wenyi Zeng, Ping Guo:
The Methods for Two-Dimensional Fiber Spectra Extraction. CIS 2016: 487-490 - [c123]Yanjun Li, Ping Guo, Xin Xin:
A Divide and Conquer Method for Automatic Image Annotation. CIS 2016: 660-664 - [c122]Liang Wang, Chao Shen, Fuqing Duan, Ping Guo:
Energy-Based Multi-plane Detection from 3D Point Clouds. ICONIP (2) 2016: 715-722 - [c121]Yao Yao, Xin Xin, Ping Guo:
A rank minimization-based late fusion method for multi-label image annotation. ICPR 2016: 847-852 - [c120]Ke Wang, Ping Guo, Qian Yin, A-Li Luo, Xin Xin:
A pseudoinverse incremental algorithm for fast training deep neural networks with application to spectra pattern recognition. IJCNN 2016: 3453-3460 - [c119]Peng Wu, Qian Yin, Ping Guo:
Kernel selection with evolutionary algorithm for multiple kernel independent component analysis. IJCNN 2016: 4147-4153 - [c118]Min Yan, Qian Yin, Ping Guo:
Image stitching with single-hidden layer feedforward neural networks. IJCNN 2016: 4162-4169 - [c117]Bingxin Xu, Qian Yin, Ping Guo, Hongzhe Liu:
Image representation via sub-dictionary based sparse coding. IJCNN 2016: 5113-5118 - [c116]Ping Guo, Jian Yu, Qian Yin:
Long Exposure Point Spread Function Modeling with Gaussian Processes. ISNN 2016: 540-546 - [c115]Peng Ji, Xin Xin, Ping Guo:
Fine-Grained Real Estate Estimation Based on Mixture Models. ISNN 2016: 555-564 - [c114]Ke Wang, Ping Guo, A-Li Luo, Xin Xin, Fuqing Duan:
Deep neural networks with local connectivity and its application to astronomical spectral data. SMC 2016: 2687-2692 - 2015
- [j28]Yao Yao, Ping Guo, Xin Xin, Ziheng Jiang:
Erratum to: Image Fusion by Hierarchical Joint Sparse Representation. Cogn. Comput. 7(5): 633 (2015) - [j27]Peng Wu, Fuqing Duan, Ping Guo:
A pre-selecting base kernel method in multiple kernel learning. Neurocomputing 165: 46-53 (2015) - [j26]Hassan Dawood, Hussain Dawood, Ping Guo:
Removal of random-valued impulse noise by local statistics. Multim. Tools Appl. 74(24): 11485-11498 (2015) - [c113]Ke Wang, Ping Guo, A-Li Luo:
Angular quantization based affinity propagation clustering and its application to astronomical big spectra data. IEEE BigData 2015: 601-608 - [c112]Hassan Dawood, Hussain Dawood, Ping Guo:
A Hybrid Image Feature Descriptor for Classification. CIS 2015: 58-61 - [c111]Yiren Wang, Hassan Dawood, Qian Yin, Ping Guo:
A comparative study of different feature mapping methods for image annotation. ICACI 2015: 340-344 - [c110]Shiqiang Li, Hussain Dawood, Ping Guo:
Comparison of linear dimensionality reduction methods in image annotation. ICACI 2015: 355-360 - [c109]Yanjun Li, Xin Xin, Ping Guo:
Neural Networks with Marginalized Corrupted Hidden Layer. ICONIP (3) 2015: 506-514 - [c108]Xin Xin, Zhirun Liu, Chin-Yew Lin, Heyan Huang, Xiaochi Wei, Ping Guo:
Cross-Domain Collaborative Filtering with Review Text. IJCAI 2015: 1827-1834 - 2014
- [j25]Yao Yao, Ping Guo, Xin Xin, Ziheng Jiang:
Image Fusion by Hierarchical Joint Sparse Representation. Cogn. Comput. 6(3): 281-292 (2014) - [j24]Bingxin Xu, Ping Guo, C. L. Philip Chen:
An adaptive regularization method for sparse representation. Integr. Comput. Aided Eng. 21(1): 91-100 (2014) - [j23]Qian Yin, Ruiyi Luo, Ping Guo:
Software Fault Estimation Framework based on aiNet. Int. J. Comput. Intell. Syst. 7(4): 715-723 (2014) - [j22]Haifeng Sima, Ping Guo:
Texture Superpixels Merging by Color-texture Histograms for Color Image Segmentation. KSII Trans. Internet Inf. Syst. 8(7): 2400-2419 (2014) - [j21]Minguang Song, Ping Guo:
Combining Local Binary Patterns for Scene Recognition. J. Softw. 9(1): 203-210 (2014) - [j20]Xiao Zhi Gao, Jing Wang, Jarno M. A. Tanskanen, Rongfang Bie, Xiaolei Wang, Ping Guo, Kai Zenger:
Optimal Classification of Epileptic EEG Signals Using Neural Networks and Harmony Search Methods. J. Softw. 9(1): 230-239 (2014) - [j19]Hussain Dawood, Hassan Dawood, Ping Guo:
Removal of high-intensity impulse noise by Weber's law Noise Identifier. Pattern Recognit. Lett. 49: 121-130 (2014) - [c107]Deqing Li, Wenyi Zeng, Junhong Li, Ping Guo:
Balance Function Analysis in Variable Weight Decision Making. CIS 2014: 30-34 - [c106]Bu Chen, Qian Yin, Ping Guo:
A Study of Deep Belief Network Based Chinese Speech Emotion Recognition. CIS 2014: 180-184 - [c105]Xin Zheng, Chenlei Lv, Qingqing Xu, Ping Guo:
Image Up-Scaling: Based on Self Similarity and Local Information. CIS 2014: 233-237 - [c104]Hassan Dawood, Hussain Dawood, Ping Guo:
Texture Image Classification with Improved Weber Local Descriptor. ICAISC (1) 2014: 684-692 - [c103]Peng Wu, Qian Yin, Ping Guo:
Method of Evolving Non-stationary Multiple Kernel Learning. ICONIP (2) 2014: 17-25 - [c102]Yanjun Li, Ping Guo, Xin Xin:
An Improved Separating Hyperplane Method with Application to Embedded Intelligent Devices. ICONIP (2) 2014: 118-125 - [c101]Song Lin, Ping Guo, Xin Xin:
Supervised topic regression via experts. IJCNN 2014: 3526-3533 - [c100]Jian Yu, Ping Guo, A-Li Luo:
Adaptive regularization deconvolution extraction algorithm for spectral signal processing. INISTA 2014: 375-380 - [c99]Yongquan Yan, Ping Guo, Lifeng Liu:
A Novel Hybridization of Artificial Neural Networks and ARIMA Models for Forecasting Resource Consumption in an IIS Web Server. ISSRE Workshops 2014: 437-442 - [c98]Yongquan Yan, Ping Guo, Lifeng Liu:
A Practice of Forecasting Software Aging in an IIS Web Server Using SVM. ISSRE Workshops 2014: 443-448 - [c97]Junhong Li, Wenyi Zeng, Ping Guo:
Interval-valued intuitionistic trapezoidal fuzzy number and its application. SMC 2014: 734-737 - [c96]Ke Wang, Ping Guo:
An efficient and scalable learning algorithm for Near-Earth objects detection in astronomy big image data. SMC 2014: 742-747 - 2013
- [j18]Jing Wang, Xiao Zhi Gao, Ping Guo:
Feature extraction based on sparse representation with application to epileptic EEG classification. Int. J. Imaging Syst. Technol. 23(2): 104-113 (2013) - [j17]Bingxin Xu, Rukun Hu, Ping Guo:
Combining affinity propagation with supervised dictionary learning for image classification. Neural Comput. Appl. 22(7-8): 1301-1308 (2013) - [j16]Xiuling Zhou, Ping Guo, C. L. Philip Chen:
Covariance Matrix Estimation with Multi-Regularization Parameters based on MDL Principle. Neural Process. Lett. 38(2): 227-238 (2013) - [c95]Ziheng Jiang, Lei Ji, Jianwen Zhang, Jun Yan, Ping Guo, Ning Liu:
Learning open-domain comparable entity graphs from user search queries. CIKM 2013: 2339-2344 - [c94]Haifeng Sima, Ping Guo:
Texture Region Merging with Histogram Feature for Color Image Segmentation. CIS 2013: 224-228 - [c93]Bingxin Xu, Ping Guo, C. L. Philip Chen:
Kernel Based Weighted Group Sparse Representation Classifier. HCI (5) 2013: 236-245 - [c92]Peng Wu, Fuqing Duan, Ping Guo:
Multiple Kernel Learning Method Using MRMR Criterion and Kernel Alignment. ICONIP (1) 2013: 113-120 - [c91]Hassan Dawood, Hussain Dawood, Ping Guo:
Global Matching to Enhance the Strength of Local Intensity Order Pattern Feature Descriptor. ISNN (1) 2013: 497-504 - [c90]Hassan Dawood, Hussain Dawood, Ping Guo:
Efficient Texture Classification Using Short-Time Fourier Transform with Spatial Pyramid Matching. SMC 2013: 2275-2279 - [c89]Yuanlong Wang, Ping Guo:
Rendering scenes with participating media based on RBFs for photon mapping using graphics hardware. VRCAI 2013: 167-176 - 2012
- [j15]Sulan Zhang, Ping Guo, Jifu Zhang, Xinxin Wang, Witold Pedrycz:
A completeness analysis of frequent weighted concept lattices and their algebraic properties. Data Knowl. Eng. 81-82: 104-117 (2012) - [j14]Ping Guo, Ziheng Jiang, Song Lin, Yao Yao:
Combining LVQ with SVM technique for image semantic annotation. Neural Comput. Appl. 21(4): 735-746 (2012) - [c88]Jarno M. A. Tanskanen, Xiao Zhi Gao, Jing Wang, Ping Guo, Jari A. K. Hyttinen, Vassil S. Dimitrov:
Experimental Comparison of Geometric, Arithmetic and Harmonic Means for EEG Event Related Potential Detection. CIS 2012: 112-116 - [c87]Qian Yin, Ruiyi Luo, Ping Guo:
Parallelization and Optimization of Molecular Dynamics Simulation on Many Integrated Core. CIS 2012: 209-213 - [c86]Xiao Zhi Gao, Jing Wang, Jarno M. A. Tanskanen, Rongfang Bie, Ping Guo:
BP Neural Networks with Harmony Search Method-based Training for Epileptic EEG Signal Classification. CIS 2012: 252-257 - [c85]Peipei Pan, Xin Zheng, Qingqing Xu, Ping Guo:
Image Completion with Automatic Structure Propagation. CIS 2012: 305-309 - [c84]Minguang Song, Ping Guo:
Scene Recognition via Combining Information of Neighbors. CIS 2012: 345-349 - [c83]Xin Zheng, Qingqing Xu, Peipei Pan, Ping Guo:
Statistical Image Upsampling Method Based on CUDA. CIS 2012: 354-358 - [c82]Yuanlong Wang, Ping Guo:
Fast Multiple Scattering in Participating Media with Beamlet Decomposition. CIS 2012: 396-400 - [c81]Xia Wang, Qian Yin, Ping Guo:
Text-independent Speaker Identification Using Fisher Discrimination Dictionary Learning Method. CIS 2012: 435-438 - [c80]Jing Wang, Xiao Zhi Gao, Jarno M. A. Tanskanen, Ping Guo:
Epileptic EEG Signal Classification with ANFIS Based on Harmony Search Method. CIS 2012: 690-694 - [c79]Yao Yao, Xin Xin, Ping Guo:
OMP or BP? A Comparison Study of Image Fusion Based on Joint Sparse Representation. ICONIP (5) 2012: 75-82 - [c78]Haifeng Sima, Lixiong Liu, Ping Guo:
Color Image Segmentation Based on Regional Saliency. ICONIP (5) 2012: 142-150 - [c77]Jin Ma, Fuqing Duan, Ping Guo:
Texture Segmentation Based on Neuronal Activation Degree of Visual Model. ICONIP (5) 2012: 221-228 - [c76]Junlin Hu, Ping Guo:
Learning multiple pooling combination for image classification. IJCNN 2012: 1-7 - [c75]Jian Yu, Ping Guo:
Improved PSO Algorithm with Harmony Search for Complicated Function Optimization Problems. ISNN (1) 2012: 624-632 - [c74]Ping Guo, Jing Wang, Xiao Zhi Gao, Jarno M. A. Tanskanen:
Epileptic EEG signal classification with marching pursuit based on harmony search method. SMC 2012: 283-288 - [c73]Ping Guo, Yuanlong Wang:
A multiple scattering in participating media for real time rendering. SMC 2012: 2259-2264 - 2011
- [j13]Xiuling Zhou, Ping Guo, C. L. Philip Chen:
Speed Up Reliability Model Optimization With Hypervolume Contribution Calculating Algorithm. Intell. Autom. Soft Comput. 17(5): 619-629 (2011) - [j12]Dong Yang, Ping Guo:
Image modeling with combined optimization techniques for image semantic annotation. Neural Comput. Appl. 20(7): 1001-1015 (2011) - [c72]Qian Yin, Ruiyi Luo, Ping Guo:
Software Fault Prediction Framework Based on aiNet Algorithm. CIS 2011: 329-333 - [c71]Junlin Hu, Ping Guo:
Multi-Level Kernel Machine for Scene Image Classification. CIS 2011: 1169-1173 - [c70]Bingxin Xu, Ping Guo:
Sparse Representation for Multi-Label Image Annotation. CIS 2011: 1215-1219 - [c69]Ping Guo, Tao Wan, Jin Ma:
Experimental Studies of Visual Models in Automatic Image Annotation. HCI (1) 2011: 562-570 - [c68]Bingxin Xu, Ping Guo:
A Generalized Subspace Projection Approach for Sparse Representation Classification. ICONIP (2) 2011: 203-210 - [c67]Haifeng Sima, Lixiong Liu, Ping Guo:
Color Image Segmentation Based on Blocks Clustering and Region Growing. ICONIP (3) 2011: 459-466 - [c66]Rukun Hu, Ping Guo:
Speed Up Spatial Pyramid Matching Using Sparse Coding with Affinity Propagation Algorithm. ICONIP (3) 2011: 467-474 - [c65]Jing Wang, Ping Guo:
Epileptic Electroencephalogram Signal Classification based on Sparse Representation. IJCCI (NCTA) 2011: 15-23 - [c64]Xiuling Zhou, Ping Guo, C. L. Philip Chen:
Multi-regularization Parameters Estimation for Gaussian Mixture Classifier based on MDL Principle. IJCCI (NCTA) 2011: 112-117 - [c63]Dong Yang, Ping Guo:
Performance Analysis of Improved Affinity Propagation Algorithm for Image Semantic Annotation. ISNN (2) 2011: 420-428 - [c62]Jing He, Ziheng Jiang, Ping Guo, Lixiong Liu:
A study of block-global feature based supervised image annotation. SMC 2011: 971-976 - [c61]Haifeng Sima, Ping Guo, Lixiong Liu:
Scale estimate of self-organizing map for color image segmentation. SMC 2011: 1491-1495 - [c60]Xin Zheng, Xiumin Zhang, Ping Guo:
Building modeling from a single image applied in urban reconstruction. VRCAI 2011: 225-234 - [e1]Yuping Wang, Yiu-ming Cheung, Ping Guo, Yingbin Wei:
Seventh International Conference on Computational Intelligence and Security, CIS 2011, Sanya, Hainan, China, December 3-4, 2011. IEEE Computer Society 2011, ISBN 978-1-4577-2008-6 [contents] - 2010
- [c59]Fuqing Duan, Liang Wang, Ping Guo:
RANSAC Based Ellipse Detection with Application to Catadioptric Camera Calibration. ICONIP (2) 2010: 525-532 - [c58]Song Lin, Yao Yao, Ping Guo:
Speed Up Image Annotation Based on LVQ Technique with Affinity Propagation Algorithm. ICONIP (2) 2010: 533-540 - [c57]Bingxin Xu, Ping Guo:
Kernel ICA applied to feature extraction for image annotation. ISDA 2010: 889-893 - [c56]Ziheng Jiang, Jing He, Ping Guo:
Feature data optimization with LVQ technique in semantic image annotation. ISDA 2010: 906-911 - [c55]Zhen Yan, Xinyu Chen, Ping Guo:
Software Defect Prediction Using Fuzzy Support Vector Regression. ISNN (2) 2010: 17-24 - [c54]Guangjun Lv, Qian Yin, Bingxin Xu, Ping Guo:
Optimization of Training Samples with Affinity Propagation Algorithm for Multi-class SVM Classification. ISNN (2) 2010: 33-41 - [c53]Huaiying Xia, Rukun Hu, Bingxin Xu, Ping Guo:
Modeling multi-source remote sensing image classifier based on the MDL principle: Experimental studies. SMC 2010: 1966-1972 - [c52]Xiuling Zhou, Mengxin Song, Ping Guo, Li Yao:
Remote sensing image fusion based on multi-objective evolutionary algorithm. SMC 2010: 3791-3795
2000 – 2009
- 2009
- [j11]Qian Yin, Zhiyong Yuan, Ping Guo:
Studies on the distribution of the shortest linear recurring sequences. Inf. Sci. 179(14): 2379-2389 (2009) - [c51]Sulan Zhang, Ping Guo, Jifu Zhang, Xinxin Wang:
A Batch Constructing Method of Weighted Concept Lattice Based on Deviance Analysis. CIS (1) 2009: 69-73 - [c50]Xufei Gao, Xinyu Chen, Ping Guo:
An Ortho-Rectification Method for Space-Borne SAR Image with Imaging Equation. HCI (6) 2009: 658-666 - [c49]Huaiying Xia, Ping Guo:
Decomposition Mixed Pixels of Remote Sensing Image Based on 2-DWT and Kernel ICA. ICONIP (1) 2009: 373-380 - [c48]Dong Yang, Ping Guo:
Improvement of Image Modeling with Affinity Propagation Algorithm for Semantic Image Annotation. ICONIP (1) 2009: 778-787 - [c47]Huabiao Xiao, Ping Guo:
Iris Image Analysis Based on Affinity Propagation Algorithm. ISNN (2) 2009: 943-949 - [c46]Xiuli Xu, Ping Guo:
Iris Feature Extraction Based on the Complete 2DPCA. ISNN (2) 2009: 950-958 - [c45]Xinyu Chen, Huaiying Xia, Ping Guo:
A Shadow Detection Method for Remote Sensing Images Using Affinity Propagation Algorithm. SMC 2009: 3116-3121 - [c44]Rukun Hu, Shuai Shao, Ping Guo:
Investigating Visual Feature Extraction Methods for Image Annotation. SMC 2009: 3122-3127 - [c43]Mengxin Song, Xinyu Chen, Ping Guo:
A fusion method for multispectral and panchromatic images based on HSI and Contourlet transformation. WIAMIS 2009: 77-80 - 2008
- [j10]Wenyi Zeng, Ping Guo:
Normalized distance, similarity measure, inclusion measure and entropy of interval-valued fuzzy sets and their relationship. Inf. Sci. 178(5): 1334-1342 (2008) - [j9]Ping Guo, Yunde Jia, Michael R. Lyu:
A study of regularized Gaussian classifier in high-dimension small sample set case based on MDL principle with application to spectrum recognition. Pattern Recognit. 41(9): 2842-2854 (2008) - [c42]Chuanliang Chen, Rongfang Bie, Ping Guo:
Combining LPP with PCA for microarray data clustering. IEEE Congress on Evolutionary Computation 2008: 2081-2086 - [c41]Gege Guo, Ping Guo:
Experimental Study of Discriminant Method with Application to Fault-Prone Module Detection. CIS (1) 2008: 204-209 - [c40]Ping Guo, Xin Liu, Qian Yin:
Methodology for Reliability Evaluation of N-Version Programming Software Fault Tolerance System. CSSE (2) 2008: 654-657 - [c39]Hai-Jing Niu, Ping Guo, Tian-Zi Jiang:
Improving Depth Resolution of Diffuse Optical Tomography with Intelligent Method. ICIC (1) 2008: 514-520 - [c38]Yuan Yuan, Anbang Xu, Ping Guo, Jia-cai Zhang:
ECoG Analysis with Affinity Propagation Algorithm. ICNC (5) 2008: 52-56 - [c37]Lingwei Chen, Xinyu Chen, Ping Guo:
Blind Image Restoration Using Divisional Regularization and Wavelet Technique. ICNC (5) 2008: 476-480 - [c36]Xinyu Chen, Michael R. Lyu, Ping Guo:
Voronoi-Based Sleeping Configuration in Wireless Sensor Networks with Location Error. ICNSC 2008: 1459-1464 - [c35]Lintao Wen, Qian Yin, Ping Guo:
Ant Colony Optimization Algorithm for Feature Selection and Classification of Multispectral Remote Sensing Image. IGARSS (2) 2008: 923-926 - [c34]Bingbing Yang, Qian Yin, Shengyong Xu, Ping Guo:
Software quality prediction using Affinity Propagation algorithm. IJCNN 2008: 1891-1896 - [c33]Lintao Wen, Xinyu Chen, Ping Guo:
A Comparative Study on Clustering Algorithms for Multispectral Remote Sensing Image Recognition. ISNN (1) 2008: 610-617 - [c32]Anbang Xu, Xinyu Chen, Ping Guo:
Complete two-dimensional principal component analysis for image registration. SMC 2008: 66-70 - 2007
- [j8]Shaoming Li, Qian Yin, Ping Guo, Michael R. Lyu:
A hierarchical mixture model for software reliability prediction. Appl. Math. Comput. 185(2): 1120-1130 (2007) - [j7]Ping Guo, Hongzhai Li, Michael R. Lyu:
Blind Image Restoration by Combining Wavelet Transform and RBF Neural Network. Int. J. Wavelets Multiresolution Inf. Process. 5(1): 15-26 (2007) - [j6]Zhihong Xu, Xin Zheng, Ping Guo:
Empirically Validating Software Metrics for Risk Prediction Based on Intelligent Methods. J. Digit. Inf. Manag. 5(3): 99-106 (2007) - [j5]Dongdong Cao, Qian Yin, Ping Guo:
Multi-Source Remote Sensing Classification Based on Mallat Fusion and Residual Error Feature Selection. J. Digit. Inf. Manag. 5(3): 130-137 (2007) - [j4]Huamin Qu, Wing-Yi Chan, Anbang Xu, Kai-Lun Chung, Alexis Kai-Hon Lau, Ping Guo:
Visual Analysis of the Air Pollution Problem in Hong Kong. IEEE Trans. Vis. Comput. Graph. 13(6): 1408-1415 (2007) - [c31]Qian Yin, Zhiyong Yuan, Ping Guo:
Further Studies on the Distribution of the Shortest Linear Recurring Sequences for the Stream Cipher over the Ring. ICIC (3) 2007: 680-688 - [c30]Qian Yin, Jiang Li, Kim Ho Bom, Ping Guo:
A New Cascade Software Reliability Model. ICNC (3) 2007: 241-245 - [c29]Yunfei Jiang, Ping Guo:
Regularization Versus Dimension Reduction, Which Is Better? ISNN (2) 2007: 474-482 - [c28]Yunfei Jiang, Ping Guo:
Comparative studies of Feature Extraction methods with application to face recognition. SMC 2007: 3627-3632 - [c27]Yingcai Wu, Anbang Xu, Ming-Yuen Chan, Huamin Qu, Ping Guo:
Palette-Style Volume Visualization. VG@Eurographics 2007: 33-40 - 2006
- [c26]Xin Jin, Anbang Xu, Rongfang Bie, Ping Guo:
Kernel Independent Component Analysis for Gene Expression Data Clustering. ICA 2006: 454-461 - [c25]Bingbing Yang, Xin Zheng, Ping Guo:
Software Metrics Data Clustering for Quality Prediction. ICIC (2) 2006: 959-964 - [c24]Anbang Xu, Xin Jin, Ping Guo:
Two-Dimensional PCA Combined with PCA for Neural Network Based Image Registration. ICNC (2) 2006: 696-705 - [c23]Anbang Xu, Ping Guo:
Image Registration with Regularized Neural Network. ICONIP (2) 2006: 286-293 - [c22]Anbang Xu, Xin Jin, Yugang Jiang, Ping Guo:
Complete Two-Dimensional PCA for Face Recognition. ICPR (3) 2006: 481-484 - [c21]Anbang Xu, Xin Jin, Ping Guo, Rongfang Bie:
KICA Feature Extraction in Application to FNN based Image Registration. IJCNN 2006: 3602-3608 - [c20]Dongdong Cao, Ping Guo:
Residual Error based Approach to Classification of Multisource Remote Sensing Images. ISDA (2) 2006: 406-411 - [c19]Dongdong Cao, Qian Yin, Ping Guo:
Mallat Fusion for Multi-Source Remote Sensing Classification. ISDA (1) 2006: 588-593 - [c18]Zhihong Xu, Xin Zheng, Ping Guo:
Empirically Validating Software Metrics for Risk Prediction Based on Intelligent Methods. ISDA (1) 2006: 1049-1054 - [c17]Anbang Xu, Ping Guo:
Isomap and Neural Networks Based Image Registration Scheme. ISNN (2) 2006: 486-491 - [c16]Xin Jin, Anbang Xu, Rongfang Bie, Ping Guo:
Machine Learning Techniques and Chi-Square Feature Selection for Cancer Classification Using SAGE Gene Expression Profiles. BioDM 2006: 106-115 - [c15]Huimin Guo, Ping Guo, Hanqing Lu:
A Fast Mean Shift Procedure with New Iteration Strategy and Re-sampling. SMC 2006: 2385-2389 - [c14]Ling Bai, Anbang Xu, Ping Guo, Yunde Jia:
Kernel ICA Feature Extraction for Spectral Recognition of Celestial Objects. SMC 2006: 3922-3926 - 2005
- [c13]Qian Yin, Yunlun Luo, Ping Guo:
Special Distribution of the Shortest Linear Recurring Sequences in Z /(p) Field. CIS (2) 2005: 43-48 - [c12]Yugang Jiang, Ping Guo:
Mixture of Experts for Stellar Data Classification. ISNN (2) 2005: 310-315 - [c11]Fei Xing, Ping Guo:
Support Vector Regression for Software Reliability Growth Modeling and Prediction. ISNN (1) 2005: 925-930 - [c10]Fei Xing, Ping Guo, Michael R. Lyu:
A Novel Method for Early Software Quality Prediction Based on Support Vector Machine. ISSRE 2005: 213-222 - [c9]Yanqin Tian, Ping Guo, Michael R. Lyu:
Comparative Studies on Feature Extraction Methods for Multispectral Remote Sensing Image Classification. SMC 2005: 1275-1279 - [c8]Yugang Jiang, Qing Wu, Ping Guo:
Defocused image restoration using RBF network and Kalman filter. SMC 2005: 2507-2511 - 2004
- [j3]Ping Guo, Michael R. Lyu:
A pseudoinverse learning algorithm for feedforward neural networks with stacked generalization applications to software reliability growth data. Neurocomputing 56: 101-121 (2004) - [c7]Ping Guo, Lei Xing:
Blind image restoration based on RBF neural networks. Image Processing: Algorithms and Systems 2004: 259-266 - [c6]YuGang Jiang, Ping Guo:
Spectral Analysis and Recognition Using Multi-scale Features and Neural Networks. ISNN (2) 2004: 369-374 - [c5]Ping Guo, Hongzhai Li:
Image De-noising Using Cross-Validation Method with RBF Network Representation. ISNN (2) 2004: 393-398 - [c4]Fei Xing, Ping Guo:
Classification of Stellar Spectral Data Using SVM. ISNN (1) 2004: 616-621 - [c3]Qian Bao, Ping Guo:
Comparative studies on similarity measures for remote sensing image retrieval. SMC (1) 2004: 1112-1116 - [c2]Ping Guo, Fei Xing, YuGang Jiang:
Stellar data classification using SVM with wavelet transformation. SMC (6) 2004: 5894-5899 - 2003
- [j2]Ping Guo, Michael R. Lyu, C. L. Philip Chen:
Regularization parameter estimation for feedforward neural networks. IEEE Trans. Syst. Man Cybern. Part B 33(1): 35-44 (2003) - 2002
- [b1]Ping Guo:
Studies of model selection and regularization for generalization in neural networks with applications. Chinese University of Hong Kong, Hong Kong, 2002 - [j1]Ping Guo, C. L. Philip Chen, Michael R. Lyu:
Cluster number selection for a small set of samples using the Bayesian Ying-Yang model. IEEE Trans. Neural Networks 13(3): 757-763 (2002) - 2000
- [c1]Ping Guo, Michael R. Lyu:
Software Quality Prediction Using Mixture Models with EM Algorithm. APAQS 2000: 69-80
Coauthor Index
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