| 2026 | AAAI | CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models. | Ping Guo, Qingfu Zhang, Xi Lin |
| 2026 | AAAI | RSOD: Reliability-Guided Sonar Image Object Detection with Extremely Limited Labels. | Chengzhou Li, Ping Guo, Guanchen Meng, Qi Jia, Jinyuan Liu, Zhu Liu, Xiaokang Liu, Yu Liu, Zhongxuan Luo, Xin Fan |
| 2026 | ACL | Lightweight LLM Agent Memory with Small Language Models. | Jiaquan Zhang, Chaoning Zhang, Shuxu Chen, Zhenzhen Huang, Pengcheng Zheng, Zhicheng Wang, Ping Guo, Fan Mo, Sung-Ho Bae, Jie Zou, Jiwei Wei, Yang Yang |
| 2026 | ICPR | Reinforced Multi-expert Ensemble Strategy for Weakly Supervised Video Anomaly Detection. | Hongyu Yang, Wanru Xu, Zhenjiang Miao, Yi Tian, Ping Guo, Ruiying Yao |
| 2025 | AAAI | PoseLLaVA: Pose Centric Multimodal LLM for Fine-Grained 3D Pose Manipulation. | Dong Feng, Ping Guo, Encheng Peng, Mingmin Zhu, Wenhao Yu, Peng Wang |
| 2025 | CEC | Population Initialization for Evolutionary Multi-objective Optimization: A Short Review. | Cheng Gong, Ping Guo, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2025 | CVPR | MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework. | Ping Guo, Cheng Gong, Xi Lin, Fei Liu, Zhichao Lu, Qingfu Zhang, Zhenkun Wang |
| 2025 | GECCO | Performance Comparison between Evolutionary Algorithms and Linear Programming-based Relaxation Methods for Multi-Objective Knapsack Problems. | Cheng Gong, Ping Guo, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2025 | IROS | ContextCache: Task-Aware Lifecycle Management for Memory-Efficient LLM Agent Deployment. | Tao Liu, Ping Guo, Dong Feng, Peng Wang |
| 2025 | ICRA | FitnessAgent: A Unified Agent Framework for Open-Set and Personalized Fitness Evaluation. | Zhenhui Tang, Jiahao Li, Ping Guo, Bowen Tian, Qingjun Xing, Xuyang Xing, Peng Wang |
| 2024 | ACL | Subtle Signatures, Strong Shields: Advancing Robust and Imperceptible Watermarking in Large Language Models. | Yubing Ren, Ping Guo, Yanan Cao, Wei Ma |
| 2024 | COLING | Teaching Large Language Models to Translate on Low-resource Languages with Textbook Prompting. | Ping Guo, Yubing Ren, Yue Hu, Yunpeng Li, Jiarui Zhang, Xingsheng Zhang, Heyan Huang |
| 2024 | COLING | DEIE: Benchmarking Document-level Event Information Extraction with a Large-scale Chinese News Dataset. | Yubing Ren, Yanan Cao, Hao Li, Yingjie Li, Zixuan ZM Ma, Fang Fang, Ping Guo, Wei Ma |
| 2024 | CVPR | Adapting Short-Term Transformers for Action Detection in Untrimmed Videos. | Min Yang, Huan Gao, Ping Guo, Limin Wang |
| 2024 | GECCO | L-AutoDA: Large Language Models for Automatically Evolving Decision-based Adversarial Attacks. | Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, Qingfu Zhang |
| 2024 | ICANN | Enhancing Zero-Shot Translation in Multilingual Neural Machine Translation: Focusing on Obtaining Location-Agnostic Representations. | Jiarui Zhang, Heyan Huang, Yue Hu, Ping Guo |
| 2024 | IJCNN | Can We Build a Generative Model without Back Propagation Training? | Ke Wang, Ziqi Zhao, Binghong Liu, Ping Guo, Yazhou Hu |
| 2024 | IJCNN | CLIP-based Semantic Enhancement and Vocabulary Expansion for Video Captioning Using Reinforcement Learning. | Lihuan Zheng, Ping Guo, Zhenjiao Miao, Wanru Xu |
| 2024 | IROS | Image to Patterning: Density-specified Patterning of Micro-structured Surfaces with a Mobile Robot. | Annalisa T. Taylor, Malachi Landis, Yaoke Wang, Todd D. Murphey, Ping Guo |
| 2024 | PPSN | LTR-HSS: A Learning-to-Rank Based Framework for Hypervolume Subset Selection. | Cheng Gong, Ping Guo, Tianye Shu, Qingfu Zhang, Hisao Ishibuchi |
| 2024 | WWW | Query in Your Tongue: Reinforce Large Language Models with Retrievers for Cross-lingual Search Generative Experience. | Ping Guo, Yue Hu, Yanan Cao, Yubing Ren, Yunpeng Li, Heyan Huang |
| 2024 | SIGIR | Steering Large Language Models for Cross-lingual Information Retrieval. | Ping Guo, Yubing Ren, Yue Hu, Yanan Cao, Yunpeng Li, Heyan Huang |
| 2023 | AAAI | Learning to Know Myself: A Coarse-to-Fine Persona-Aware Training Framework for Personalized Dialogue Generation. | Yunpeng Li, Yue Hu, Yajing Sun, Luxi Xing, Ping Guo, Yuqiang Xie, Wei Peng |
| 2023 | ACL | Retrieve-and-Sample: Document-level Event Argument Extraction via Hybrid Retrieval Augmentation. | Yubing Ren, Yanan Cao, Ping Guo, Fang Fang, Wei Ma, Zheng Lin |
| 2023 | DASC | A Space-Saving Based MLCS Algorithm. | Botian Jiang, Chunyang Wang, Yuanyuan Fu, Hai-Lin Liu, Ping Guo, Yuping Wang |
| 2023 | ECAI | Mitigating Long-Tail Language Representation Collapsing via Cross-Lingual Bootstrapped Unsupervised Fine-Tuning. | Ping Guo, Yue Hu, Yubing Ren, Yunpeng Li, Jiarui Zhang, Xingsheng Zhang |
| 2023 | EMO | Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables. | Ping Guo, Qingfu Zhang, Xi Lin |
| 2023 | ICMLC | Two-Model Synergetic Learning Systems Optimization with Maxwell's Demon Technique. | Ping Guo |
| 2023 | IJCNN | Flexible Contribution Estimation Methods for Horizontal Federated Learning. | Xiangjing Hu, Congjian Luo, Dun Zeng, Zenglin Xu, Ping Guo, Irwin King |
| 2023 | IROS | Disentangled Discriminator for Unsupervised Domain Adaptation on Object Detection. | Yangguang Zhu, Ping Guo, Haoran Wei, Xin Zhao, Xiangbin Wu |
| 2023 | KSEM | Importance-Based Neuron Selective Distillation for Interference Mitigation in Multilingual Neural Machine Translation. | Jiarui Zhang, Heyan Huang, Yue Hu, Ping Guo, Yuqiang Xie |
| 2023 | SMC | Event-Triggered Near Optimal Output Feedback Control for Constrained Discrete-Time Systems Via an Iterative Adaptive Algorithm. | Jiaxu Hou, Liao Zhu, Ping Guo |
| 2022 | CIS | Methodologies of building synergetic learning systems. | Ping Guo, Jiaxu Hou, Bo Zhao |
| 2022 | COLING | CLIO: Role-interactive Multi-event Head Attention Network for Document-level Event Extraction. | Yubing Ren, Yanan Cao, Fang Fang, Ping Guo, Zheng Lin, Wei Ma, Yi Liu |
| 2022 | EMNLP | Guiding Neural Machine Translation with Semantic Kernels. | Ping Guo, Yue Hu, Xiangpeng Wei, Yubing Ren, Yunpeng Li, Luxi Xing, Yuqiang Xie |
| 2022 | ICASSP | CLseg: Contrastive Learning of Story Ending Generation. | Yuqiang Xie, Yue Hu, Luxi Xing, Yunpeng Li, Wei Peng, Ping Guo |
| 2022 | IJCAI | Corner Affinity: A Robust Grouping Algorithm to Make Corner-guided Detector Great Again. | Haoran Wei, Chenglong Liu, Ping Guo, Yangguang Zhu, Jiamei Fu, Bing Wang, Peng Wang |
| 2022 | IJCNN | A Robust De-noising Method via Training Loss for Distantly Supervised Relation Extraction. | Yunpeng Li, Yue Hu, Ping Guo |
| 2022 | SMC | Data-Driven Suboptimal Control for Nonlinear Systems Using State-Dependent Riccati Equation. | Liao Zhu, Jingsheng Xu, Ping Guo |
| 2021 | CIS | Asymptotically Stable Fault Tolerant Control for Nonlinear Systems Through Differential Game Theory. | Hongbing Xia, Jinzhou Bao, Ping Guo |
| 2021 | DASC | A location data protection protocol based on differential privacy. | Ping Guo, Baopeng Ye, Yuling Chen, Tao Li, Yixian Yang, Xiaobin Qian |
| 2021 | ICCV | Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations. | Zike Yan, Yuxin Tian, Xuesong Shi, Ping Guo, Peng Wang, Hongbin Zha |
| 2021 | IROS | RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Features for Indoor Localization. | Dongjiang Li, Jinyu Miao, Xuesong Shi, Yuxin Tian, Qiwei Long, Tianyu Cai, Ping Guo, Hongfei Yu, Wei Yang, Haosong Yue, Qi Wei, Fei Qiao |
| 2020 | ICONIP | Causal Inference for Mixed-Type Data in Additive Noise Models. | Xin Liu, Zenglin Xu, Ping Guo |
| 2020 | KSEM | MG-BERT: A Multi-glosses BERT Model for Word Sense Disambiguation. | Ping Guo, Yue Hu, Yunpeng Li |
| 2020 | SMC | Boosting and Residual Learning Scheme with Pseudoinverse Learners. | Xiaoxuan Sun, Rundong Shi, Bo Zhao, Ping Guo |
| 2020 | SMC | An Empirical Study of Pre-trained Embedding on Ultra-Fine Entity Typing. | Yanping Wang, Xin Xin, Ping Guo |
| 2019 | CEC | Multi-runway Aircraft Arrival Scheduling: A Receding Horizon Control Based Ant Colony System Approach. | Li-Jiao Wu, Zhi-Hui Zhan, Xiao-Min Hu, Ping Guo, Yanchun Zhang, Jun Zhang |
| 2019 | CIS | Chinese NER by Span-Level Self-Attention. | Xiaoyu Dong, Xin Xin, Ping Guo |
| 2019 | CIS | Relation Extraction via Attention-Based CNNs using Token-Level Representations. | Yan Wang, Xin Xin, Ping Guo |
| 2019 | CIS | Effective Pulsar Dispersion Measure Estimation Based on Progressive Probabilistic Hough Transform. | Jiali Xu, Qian Yin, Ping Guo, Xin Zheng |
| 2019 | CIS | Some new Distance Measures of Hesitant Fuzzy Sets and its Application in Group Decision Making. | Wenyi Zeng, Guangchen Song, Qian Yin, Ping Guo |
| 2019 | ICRA | Customized Object Recognition and Segmentation by One Shot Learning with Human Robot Interaction. | Ping Guo, Lidan Zhang, Lu Cao, Yingzhe Shen, Xuesong Shi, Haibing Ren, Yimin Zhang |
| 2019 | IGARSS | Space-Missile Borne Bistatic SAR Geometry and Imaging Properties Analysis. | Ping Guo, Xiaoyang Jiao, Anyi Wang, Jing Wang, Shiyang Tang, Yang Liu |
| 2019 | ISNN | A Gradient-Descent Neurodynamic Approach for Distributed Linear Programming. | Xinrui Jiang, Sitian Qin, Ping Guo |
| 2019 | SMC | An Ensemble Model for Error Modeling with Pseudoinverse Learning Algorithm. | Sibo Feng, Xiaodan Deng, Ping Guo, Bo Zhao, Qian Yin, Hongfeng Wang |
| 2018 | CEC | A Hierarchical Model with Pseudoinverse Learning Algorithm Optimazation for Pulsar Candidate Selection. | Shijia Li, Sibo Feng, Ping Guo, Qian Yin |
| 2018 | CEC | Pseudoinverse Learning Algorithom for Fast Sparse Autoencoder Training. | Bingxin Xu, Ping Guo |
| 2018 | CIS | Computationally Efficient Low Power Neuron Model for Digital Brain. | Asif Mehmood, Muhammad Javed Iqbal, Hassan Dawood, Ping Guo |
| 2018 | CIS | A Two-Dimensional Sky Background Model for LAMOST Based on Improved KICA. | Peng Wu, Qian Yin, Ping Guo |
| 2018 | CIS | Weighted Dual Hesitant Fuzzy Sets and Its Application in Group Decision Making. | Wenyi Zeng, Yue Xi, Qian Yin, Ping Guo |
| 2018 | CIS | Hyperspectral Image Denoising Based on Low Rank and Expected Patch Log Likelihood. | Xiaoqiao Zhang, Xiuling Zhou, Ping Guo |
| 2018 | HCI | Flux Extraction Based on General Regression Neural Network for Two-Dimensional Spectral Image. | Zhen Wang, Qian Yin, Ping Guo, Xin Zheng |
| 2018 | ICONIP | Fast Image Recognition with Gabor Filter and Pseudoinverse Learning AutoEncoders. | Xiaodan Deng, Sibo Feng, Ping Guo, Qian Yin |
| 2018 | IJCNN | A temporal-based deep learning method for multiple objects detection in autonomous driving. | Yaran Chen, Dongbin Zhao, Haoran Li, Dong Li, Ping Guo |
| 2018 | IROS | PCAOT: A Manhattan Point Cloud Registration Method Towards Large Rotation and Small Overlap. | Ping Guo, Wei Hu, Haibing Ren, Yimin Zhang |
| 2018 | ISNN | Personalized Response Generation for Customer Service Agents. | Cuihua Ma, Ping Guo, Xin Xin |
| 2018 | ISNN | Review of Pseudoinverse Learning Algorithm for Multilayer Neural Networks and Applications. | Jue Wang, Ping Guo, Xin Xin |
| 2018 | SMC | Listwise Click-Through Rate Prediction with Item-Item Interactions. | Rui Wang, Ping Guo, Xin Fan, Biao Li, Wei Zhang, Xin Xin |
| 2018 | SMC | Broad and Pseudoinverse Learning for Autoencoder. | Bingxin Xu, Ping Guo |
| 2017 | CIS | Extracting Company-Specific Keyphrases from News Media. | Qiang Pan, Ping Guo, Xin Xin, Junshuai Liu |
| 2017 | CIS | Prediction of Stock Market by Principal Component Analysis. | Muhammad Waqar, Hassan Dawood, Ping Guo, Muhammad Bilal Shahnawaz, Mustansar Ali Ghazanfar |
| 2017 | CIS | A Comprehensive Study of Blind and Non-blind Deconvolution Methods Applied to Spectrum Extraction. | Hang Yu, Zhen Wang, Qian Yin, Ping Guo |
| 2017 | ICONIP | Image Recognition with Histogram of Oriented Gradient Feature and Pseudoinverse Learning AutoEncoders. | Sibo Feng, Shijia Li, Ping Guo, Qian Yin |
| 2017 | ICONIP | Pulsar Bayesian Model: A Comprehensive Astronomical Data Fitting Model. | Hang Yu, Qian Yin, Ping Guo |
| 2017 | ICONIP | Mixture of Matrix Normal Distributions for Color Image Inpainting. | Xiuling Zhou, Jing Wang, Ping Guo, C. L. Philip Chen |
| 2017 | IJCNN | Two-dimensional spectral image calibration based on feed-forward neural network. | Mingze Li, Hasitieer Haerken, Ping Guo, Fuqing Duan, Qian Yin, Xin Zheng |
| 2017 | ISNN | LSTM with Matrix Factorization for Road Speed Prediction. | Jian Hu, Xin Xin, Ping Guo |
| 2017 | ISNN | Collaborative Response Content Recommendation for Customer Service Agents. | Cuihua Ma, Ping Guo, Xin Xin, Xiaoyu Ma, Yanjie Liang, Shaomin Xing, Li Li, Shaozhuang Liu |
| 2017 | SMC | Predicting the number of driving service orders in fine-grained regions by an ensemble multi-view-based model. | Pei Luo, Xin Xin, Kuai Zhang, Ping Guo, Yang Yu, Zichao Wang |
| 2017 | SMC | Autoencoder, low rank approximation and pseudoinverse learning algorithm. | Ke Wang, Ping Guo, Xin Xin, Zebin Ye |
| 2017 | SMC | Fine-grained news recommendation by fusing matrix factorization, topic analysis and knowledge graph representation. | Kuai Zhang, Xin Xin, Pei Luo, Ping Guo |
| 2016 | CIS | A Divide and Conquer Method for Automatic Image Annotation. | Yanjun Li, Ping Guo, Xin Xin |
| 2016 | CIS | The Methods for Two-Dimensional Fiber Spectra Extraction. | Jianjun Xie, Junhong Li, Hong Wang, Wenyi Zeng, Ping Guo |
| 2016 | CIS | Pulsar Candidate Selection by Assembling Positive Sample Emphasized Classifiers. | Yao Yao, Xin Xin, Ping Guo |
| 2016 | ICCS | A Performance Prediction and Analysis Integrated Framework for SpMV on GPUs. | Ping Guo, Chung-Wei Lee |
| 2016 | ICIP | Context-aware event-driven stereo matching. | Dongqing Zou, Ping Guo, Qiang Wang, Xiaotao Wang, Guangqi Shao, Feng Shi, Jia Li, Paul K. J. Park |
| 2016 | ICONIP | Energy-Based Multi-plane Detection from 3D Point Clouds. | Liang Wang, Chao Shen, Fuqing Duan, Ping Guo |
| 2016 | IGARSS | A novel approach for highly squinted beam steering SAR data focusing. | Shiyang Tang, Ping Guo, Yu Zhou, Nan Liu, Linrang Zhang, Gao-gao Liu, Yan Zhang |
| 2016 | ICPR | A rank minimization-based late fusion method for multi-label image annotation. | Yao Yao, Xin Xin, Ping Guo |
| 2016 | IJCNN | A pseudoinverse incremental algorithm for fast training deep neural networks with application to spectra pattern recognition. | Ke Wang, Ping Guo, Qian Yin, A-Li Luo, Xin Xin |
| 2016 | IJCNN | Kernel selection with evolutionary algorithm for multiple kernel independent component analysis. | Peng Wu, Qian Yin, Ping Guo |
| 2016 | IJCNN | Image representation via sub-dictionary based sparse coding. | Bingxin Xu, Qian Yin, Ping Guo, Hongzhe Liu |
| 2016 | IJCNN | Image stitching with single-hidden layer feedforward neural networks. | Min Yan, Qian Yin, Ping Guo |
| 2016 | IGARSS | Accurate range model based on equivalent midpoint for geosynchronous SAR. | Ping Guo, Shiyang Tang, Nan Liu, Yu Zhou, Linrang Zhang, Gaogao Liu, Yan Zhang |
| 2016 | ISNN | Long Exposure Point Spread Function Modeling with Gaussian Processes. | Ping Guo, Jian Yu, Qian Yin |
| 2016 | ISNN | Fine-Grained Real Estate Estimation Based on Mixture Models. | Peng Ji, Xin Xin, Ping Guo |
| 2016 | SMC | Deep neural networks with local connectivity and its application to astronomical spectral data. | Ke Wang, Ping Guo, A-Li Luo, Xin Xin, Fuqing Duan |
| 2016 | TrustCom | Optimal Deployment and Dimensioning of Fog Computing Supported Vehicular Network. | Ping Guo, Bin Lin, Xin Li, Rongxi He, Sen Li |
| 2016 | TrustCom | Design and Planning of Heterogeneous Marine Sensor Networks for Marine Intelligent Transportation. | Xin Li, Bin Lin, Ping Guo, Sen Li, Rongxi He |
| 2016 | SBAC-PAD | Performance Optimization for SpMV on Multi-GPU Systems Using Threads and Multiple Streams. | Ping Guo, Changjiang Zhang |
| 2015 | CIS | A Hybrid Image Feature Descriptor for Classification. | Hassan Dawood, Hussain Dawood, Ping Guo |
| 2015 | ICIP | Real-time human body parts localization from dynamic vision sensor. | Wentao Mao, Qiang Wang, Xiaotao Wang, Ping Guo, Shandong Wang, Guangqi Shao, Kyoobin Lee, Paul K. J. Park |
| 2015 | ICONIP | Neural Networks with Marginalized Corrupted Hidden Layer. | Yanjun Li, Xin Xin, Ping Guo |
| 2015 | IJCAI | Cross-Domain Collaborative Filtering with Review Text. | Xin Xin, Zhirun Liu, Chin-Yew Lin, Heyan Huang, Xiaochi Wei, Ping Guo |
| 2014 | AAAI | Locality-Constrained Low-Rank Coding for Image Classification. | Ziheng Jiang, Ping Guo, Lihong Peng |
| 2014 | CIS | A Study of Deep Belief Network Based Chinese Speech Emotion Recognition. | Bu Chen, Qian Yin, Ping Guo |
| 2014 | CIS | Balance Function Analysis in Variable Weight Decision Making. | Deqing Li, Wenyi Zeng, Junhong Li, Ping Guo |
| 2014 | CIS | Image Up-Scaling: Based on Self Similarity and Local Information. | Xin Zheng, Chenlei Lv, Qingqing Xu, Ping Guo |
| 2014 | ICAISC | Texture Image Classification with Improved Weber Local Descriptor. | Hassan Dawood, Hussain Dawood, Ping Guo |
| 2014 | ICONIP | An Improved Separating Hyperplane Method with Application to Embedded Intelligent Devices. | Yanjun Li, Ping Guo, Xin Xin |
| 2014 | ICONIP | Method of Evolving Non-stationary Multiple Kernel Learning. | Peng Wu, Qian Yin, Ping Guo |
| 2014 | IJCNN | Supervised topic regression via experts. | Song Lin, Ping Guo, Xin Xin |
| 2014 | INISTA | Adaptive regularization deconvolution extraction algorithm for spectral signal processing. | Jian Yu, Ping Guo, A-Li Luo |
| 2014 | ISSRE | A Novel Hybridization of Artificial Neural Networks and ARIMA Models for Forecasting Resource Consumption in an IIS Web Server. | Yongquan Yan, Ping Guo, Lifeng Liu |
| 2014 | ISSRE | A Practice of Forecasting Software Aging in an IIS Web Server Using SVM. | Yongquan Yan, Ping Guo, Lifeng Liu |
| 2014 | SMC | Interval-valued intuitionistic trapezoidal fuzzy number and its application. | Junhong Li, Wenyi Zeng, Ping Guo |
| 2014 | SMC | An efficient and scalable learning algorithm for Near-Earth objects detection in astronomy big image data. | Ke Wang, Ping Guo |
| 2013 | CIKM | Learning open-domain comparable entity graphs from user search queries. | Ziheng Jiang, Lei Ji, Jianwen Zhang, Jun Yan, Ping Guo, Ning Liu |
| 2013 | CIS | Texture Region Merging with Histogram Feature for Color Image Segmentation. | Haifeng Sima, Ping Guo |
| 2013 | HCI | Kernel Based Weighted Group Sparse Representation Classifier. | Bingxin Xu, Ping Guo, C. L. Philip Chen |
| 2013 | ICONIP | Multiple Kernel Learning Method Using MRMR Criterion and Kernel Alignment. | Peng Wu, Fuqing Duan, Ping Guo |
| 2013 | ISNN | Global Matching to Enhance the Strength of Local Intensity Order Pattern Feature Descriptor. | Hassan Dawood, Hussain Dawood, Ping Guo |
| 2013 | MICCAI | Learning a Structured Graphical Model with Boosted Top-Down Features for Ultrasound Image Segmentation. | Zhihui Hao, Qiang Wang, Xiaotao Wang, Jung-Bae Kim, Youngkyoo Hwang, Baek Hwan Cho, Ping Guo, Won Ki Lee |
| 2013 | SMC | Efficient Texture Classification Using Short-Time Fourier Transform with Spatial Pyramid Matching. | Hassan Dawood, Hussain Dawood, Ping Guo |
| 2012 | CIS | BP Neural Networks with Harmony Search Method-based Training for Epileptic EEG Signal Classification. | Xiao Zhi Gao, Jing Wang, Jarno M. A. Tanskanen, Rongfang Bie, Ping Guo |
| 2012 | CIS | Image Completion with Automatic Structure Propagation. | Peipei Pan, Xin Zheng, Qingqing Xu, Ping Guo |
| 2012 | CIS | Scene Recognition via Combining Information of Neighbors. | Minguang Song, Ping Guo |
| 2012 | CIS | Experimental Comparison of Geometric, Arithmetic and Harmonic Means for EEG Event Related Potential Detection. | Jarno M. A. Tanskanen, Xiao Zhi Gao, Jing Wang, Ping Guo, Jari A. K. Hyttinen, Vassil S. Dimitrov |
| 2012 | CIS | Fast Multiple Scattering in Participating Media with Beamlet Decomposition. | Yuanlong Wang, Ping Guo |
| 2012 | CIS | Epileptic EEG Signal Classification with ANFIS Based on Harmony Search Method. | Jing Wang, Xiao Zhi Gao, Jarno M. A. Tanskanen, Ping Guo |
| 2012 | CIS | Text-independent Speaker Identification Using Fisher Discrimination Dictionary Learning Method. | Xia Wang, Qian Yin, Ping Guo |
| 2012 | CIS | Parallelization and Optimization of Molecular Dynamics Simulation on Many Integrated Core. | Qian Yin, Ruiyi Luo, Ping Guo |
| 2012 | CIS | Statistical Image Upsampling Method Based on CUDA. | Xin Zheng, Qingqing Xu, Peipei Pan, Ping Guo |
| 2012 | ICNC | Ant colony optimization for continuous domains. | Ping Guo, Lin Zhu |
| 2012 | ICONIP | Texture Segmentation Based on Neuronal Activation Degree of Visual Model. | Jin Ma, Fuqing Duan, Ping Guo |
| 2012 | ICONIP | Color Image Segmentation Based on Regional Saliency. | Haifeng Sima, Lixiong Liu, Ping Guo |
| 2012 | ICONIP | OMP or BP? A Comparison Study of Image Fusion Based on Joint Sparse Representation. | Yao Yao, Xin Xin, Ping Guo |
| 2012 | IJCNN | Learning multiple pooling combination for image classification. | Junlin Hu, Ping Guo |
| 2012 | ISNN | Improved PSO Algorithm with Harmony Search for Complicated Function Optimization Problems. | Jian Yu, Ping Guo |
| 2012 | SMC | A multiple scattering in participating media for real time rendering. | Ping Guo, Yuanlong Wang |
| 2012 | SMC | Epileptic EEG signal classification with marching pursuit based on harmony search method. | Ping Guo, Jing Wang, Xiao Zhi Gao, Jarno M. A. Tanskanen |
| 2011 | CIS | Multi-Level Kernel Machine for Scene Image Classification. | Junlin Hu, Ping Guo |
| 2011 | CIS | Sparse Representation for Multi-Label Image Annotation. | Bingxin Xu, Ping Guo |
| 2011 | CIS | Software Fault Prediction Framework Based on aiNet Algorithm. | Qian Yin, Ruiyi Luo, Ping Guo |
| 2011 | HCI | Experimental Studies of Visual Models in Automatic Image Annotation. | Ping Guo, Tao Wan, Jin Ma |
| 2011 | ICNC | Moderate ant system: An improved algorithm for solving TSP. | Ping Guo, Zhujin Liu |
| 2011 | ICONIP | Speed Up Spatial Pyramid Matching Using Sparse Coding with Affinity Propagation Algorithm. | Rukun Hu, Ping Guo |
| 2011 | ICONIP | Color Image Segmentation Based on Blocks Clustering and Region Growing. | Haifeng Sima, Lixiong Liu, Ping Guo |
| 2011 | ICONIP | A Generalized Subspace Projection Approach for Sparse Representation Classification. | Bingxin Xu, Ping Guo |
| 2011 | IJCCI | Epileptic Electroencephalogram Signal Classification based on Sparse Representation. | Jing Wang, Ping Guo |
| 2011 | IJCCI | Multi-regularization Parameters Estimation for Gaussian Mixture Classifier based on MDL Principle. | Xiuling Zhou, Ping Guo, C. L. Philip Chen |
| 2011 | ISNN | Performance Analysis of Improved Affinity Propagation Algorithm for Image Semantic Annotation. | Dong Yang, Ping Guo |
| 2011 | SMC | A study of block-global feature based supervised image annotation. | Jing He, Ziheng Jiang, Ping Guo, Lixiong Liu |
| 2011 | SMC | Scale estimate of self-organizing map for color image segmentation. | Haifeng Sima, Ping Guo, Lixiong Liu |
| 2010 | AVSS | Real Time Human Action Recognition in a Long Video Sequence. | Ping Guo, Zhenjiang Miao, Yuan Shen, Heng-Da Cheng |
| 2010 | CSEDU | The Cross-Platform Quantum Chemistry Software for College Chemistry Education. | Mengxin Song, Ping Guo, Shi Peng |
| 2010 | ICIP | Masks based human action detection in crowded videos. | Ping Guo, Zhenjiang Miao, Heng-Da Cheng |
| 2010 | ICONIP | RANSAC Based Ellipse Detection with Application to Catadioptric Camera Calibration. | Fuqing Duan, Liang Wang, Ping Guo |
| 2010 | ICONIP | Speed Up Image Annotation Based on LVQ Technique with Affinity Propagation Algorithm. | Song Lin, Yao Yao, Ping Guo |
| 2010 | ICPR | Action Detection in Crowded Videos Using Masks. | Ping Guo, Zhenjiang Miao |
| 2010 | ISDA | Feature data optimization with LVQ technique in semantic image annotation. | Ziheng Jiang, Jing He, Ping Guo |
| 2010 | ISDA | Kernel ICA applied to feature extraction for image annotation. | Bingxin Xu, Ping Guo |
| 2010 | ISNN | Optimization of Training Samples with Affinity Propagation Algorithm for Multi-class SVM Classification. | Guangjun Lv, Qian Yin, Bingxin Xu, Ping Guo |
| 2010 | ISNN | Software Defect Prediction Using Fuzzy Support Vector Regression. | Zhen Yan, Xinyu Chen, Ping Guo |
| 2010 | SMC | Modeling multi-source remote sensing image classifier based on the MDL principle: Experimental studies. | Huaiying Xia, Rukun Hu, Bingxin Xu, Ping Guo |
| 2010 | SMC | Remote sensing image fusion based on multi-objective evolutionary algorithm. | Xiuling Zhou, Mengxin Song, Ping Guo, Li Yao |
| 2009 | CIS | A Batch Constructing Method of Weighted Concept Lattice Based on Deviance Analysis. | Sulan Zhang, Ping Guo, Jifu Zhang, Xinxin Wang |
| 2009 | HCI | An Ortho-Rectification Method for Space-Borne SAR Image with Imaging Equation. | Xufei Gao, Xinyu Chen, Ping Guo |
| 2009 | ICNC | DNA Implementation of Arithmetic Operations. | Ping Guo, Haiyan Zhang |
| 2009 | ICONIP | Decomposition Mixed Pixels of Remote Sensing Image Based on 2-DWT and Kernel ICA. | Huaiying Xia, Ping Guo |
| 2009 | ICONIP | Improvement of Image Modeling with Affinity Propagation Algorithm for Semantic Image Annotation. | Dong Yang, Ping Guo |
| 2009 | ISNN | Iris Image Analysis Based on Affinity Propagation Algorithm. | Huabiao Xiao, Ping Guo |
| 2009 | ISNN | Iris Feature Extraction Based on the Complete 2DPCA. | Xiuli Xu, Ping Guo |
| 2009 | SMC | A Shadow Detection Method for Remote Sensing Images Using Affinity Propagation Algorithm. | Xinyu Chen, Huaiying Xia, Ping Guo |
| 2009 | SMC | Investigating Visual Feature Extraction Methods for Image Annotation. | Rukun Hu, Shuai Shao, Ping Guo |
| 2008 | CEC | Combining LPP with PCA for microarray data clustering. | Chuanliang Chen, Rongfang Bie, Ping Guo |
| 2008 | CIS | Experimental Study of Discriminant Method with Application to Fault-Prone Module Detection. | Gege Guo, Ping Guo |
| 2008 | ICNC | Blind Image Restoration Using Divisional Regularization and Wavelet Technique. | Lingwei Chen, Xinyu Chen, Ping Guo |
| 2008 | ICNC | ECoG Analysis with Affinity Propagation Algorithm. | Yuan Yuan, Anbang Xu, Ping Guo, Jia-cai Zhang |
| 2008 | IGARSS | Ant Colony Optimization Algorithm for Feature Selection and Classification of Multispectral Remote Sensing Image. | Lintao Wen, Qian Yin, Ping Guo |
| 2008 | IJCNN | Software quality prediction using Affinity Propagation algorithm. | Bingbing Yang, Qian Yin, Shengyong Xu, Ping Guo |
| 2008 | ISNN | A Comparative Study on Clustering Algorithms for Multispectral Remote Sensing Image Recognition. | Lintao Wen, Xinyu Chen, Ping Guo |
| 2008 | SMC | Complete two-dimensional principal component analysis for image registration. | Anbang Xu, Xinyu Chen, Ping Guo |
| 2007 | ICNC | Rule Extraction for Problems with Hybrid Type Attributes. | Ping Guo, Jing Chen, Shengjun Sun |
| 2007 | ICNC | A New Cascade Software Reliability Model. | Qian Yin, Jiang Li, Kim Ho Bom, Ping Guo |
| 2007 | ISNN | Regularization Versus Dimension Reduction, Which Is Better? | Yunfei Jiang, Ping Guo |
| 2007 | SMC | Comparative studies of Feature Extraction methods with application to face recognition. | Yunfei Jiang, Ping Guo |
| 2006 | ICNC | Two-Dimensional PCA Combined with PCA for Neural Network Based Image Registration. | Anbang Xu, Xin Jin, Ping Guo |
| 2006 | ICONIP | Image Registration with Regularized Neural Network. | Anbang Xu, Ping Guo |
| 2006 | ICPR | Complete Two-Dimensional PCA for Face Recognition. | Anbang Xu, Xin Jin, Yugang Jiang, Ping Guo |
| 2006 | IJCNN | KICA Feature Extraction in Application to FNN based Image Registration. | Anbang Xu, Xin Jin, Ping Guo, Rongfang Bie |
| 2006 | ISDA | Residual Error based Approach to Classification of Multisource Remote Sensing Images. | Dongdong Cao, Ping Guo |
| 2006 | ISDA | Mallat Fusion for Multi-Source Remote Sensing Classification. | Dongdong Cao, Qian Yin, Ping Guo |
| 2006 | ISDA | Empirically Validating Software Metrics for Risk Prediction Based on Intelligent Methods. | Zhihong Xu, Xin Zheng, Ping Guo |
| 2006 | ISNN | Isomap and Neural Networks Based Image Registration Scheme. | Anbang Xu, Ping Guo |
| 2006 | PAKDD | Machine Learning Techniques and Chi-Square Feature Selection for Cancer Classification Using SAGE Gene Expression Profiles. | Xin Jin, Anbang Xu, Rongfang Bie, Ping Guo |
| 2006 | SMC | Kernel ICA Feature Extraction for Spectral Recognition of Celestial Objects. | Ling Bai, Anbang Xu, Ping Guo, Yunde Jia |
| 2006 | SMC | A Fast Mean Shift Procedure with New Iteration Strategy and Re-sampling. | Huimin Guo, Ping Guo, Hanqing Lu |
| 2005 | ADMA | An Efficient Algorithm for Mining Both Closed and Maximal Frequent Free Subtrees Using Canonical Forms. | Ping Guo, Yang Zhou, Jun Zhuang, Ting Chen, Yan-Rong Kang |
| 2005 | APSEC | Architectural Style - Based Modeling and Simulation of Complex Software Systems. | Ping Guo, Gregor Engels, Reiko Heckel |
| 2005 | CIS | Special Distribution of the Shortest Linear Recurring Sequences in | Qian Yin, Yunlun Luo, Ping Guo |
| 2005 | ICMLC | A Method to Eliminate Incompatible Knowledge and Equivalence Knowledge. | Ping Guo, Li Fan, Lian Ye |
| 2005 | ISNN | Mixture of Experts for Stellar Data Classification. | Yugang Jiang, Ping Guo |
| 2005 | ISNN | Support Vector Regression for Software Reliability Growth Modeling and Prediction. | Fei Xing, Ping Guo |
| 2005 | ISSRE | A Novel Method for Early Software Quality Prediction Based on Support Vector Machine. | Fei Xing, Ping Guo, Michael R. Lyu |
| 2005 | SMC | Defocused image restoration using RBF network and Kalman filter. | Yugang Jiang, Qing Wu, Ping Guo |
| 2005 | SMC | Comparative Studies on Feature Extraction Methods for Multispectral Remote Sensing Image Classification. | Yanqin Tian, Ping Guo, Michael R. Lyu |
| 2004 | ICIG | An interactive molecular visualization system for education in immersive multi-projection virtual environment. | Yanlin Luo, Ping Guo, Shoichi Hasegawa, Makoto Sato |
| 2004 | IPAS | Blind image restoration based on RBF neural networks. | Ping Guo, Lei Xing |
| 2004 | ISNN | A Novel Approach to Stellar Recognition by Combining EKF and RBF Net. | Ling Bai, Ping Guo |
| 2004 | ISNN | Image De-noising Using Cross-Validation Method with RBF Network Representation. | Ping Guo, Hongzhai Li |
| 2004 | ISNN | Spectral Analysis and Recognition Using Multi-scale Features and Neural Networks. | YuGang Jiang, Ping Guo |
| 2004 | ISNN | Classification of Stellar Spectral Data Using SVM. | Fei Xing, Ping Guo |
| 2004 | SMC | Comparative studies on similarity measures for remote sensing image retrieval. | Qian Bao, Ping Guo |
| 2004 | SMC | Stellar data classification using SVM with wavelet transformation. | Ping Guo, Fei Xing, YuGang Jiang |
| 2003 | SMC | Classification of stellar spectral data based on Kalman filter and RBF neural networks. | Ling Bai, ZhenBo Li, Ping Guo |
| 1999 | IJCNN | On the study of BKYY cluster number selection criterion for small sample data set with bootstrap technique. | Ping Guo, Lei Xu |
| 1998 | ICONIP | Averaging Ensemble Neural Networks in Parameter Space. | Ping Guo |