default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJun Guo 0002
Person information
- affiliation: Beijing University of Posts and Telecommunications, Pattern Recognition and Intelligent System Laboratory, China
- affiliation (PhD 1993): Tohuku-Gakuin University, Japan
Other persons with the same name
- Jun Guo — disambiguation page
- Jun Guo 0001
![[0000-0002-5645-2132]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-5645-2132")
— Dongguan University of Technology, College of Science and Technology, China (and 3 more) - Jun Guo 0003 — State Key Laboratory of Disaster Prevention and Reduction for Power Grid Transmission and Distribution Equipment, State Grid Hunan Electric Company Disaster Prevention and Reduction Center, Changsha, China
- Jun Guo 0004 — Langfang Teachers' College, Mathematics and Information College, China
- Jun Guo 0005 — Boise State University, Department of Electrical and Computer Engineering, ID, USA
- Jun Guo 0006 — University of California at Irvine, Center for Pervasive Communications and Computing, CA, USA
- Jun Guo 0007 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Jun Guo 0008 — Tsinghua-Berkeley Shenzhen Institute, Shenzhen, China (and 1 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j126]Wei He, Shangzhi Zhang, Chun-Guang Li, Xianbiao Qi, Rong Xiao, Jun Guo:
Neural Normalized Cut: A differential and generalizable approach for spectral clustering. Pattern Recognit. 164: 111545 (2025)- [i60]Wei He, Shangzhi Zhang, Chun-Guang Li, Xianbiao Qi, Rong Xiao, Jun Guo:
Neural Normalized Cut: A Differential and Generalizable Approach for Spectral Clustering. CoRR abs/2503.09260 (2025) - 2024
- [j125]Kongming Liang, Zijin Yin, Min Min, Yan Liu, Zhanyu Ma, Jun Guo:
Learning Dynamic Prototypes for Visual Pattern Debiasing. Int. J. Comput. Vis. 132(5): 1777-1799 (2024) - [j124]Shudong Lu, Si Li, Jun Guo:
Scalable, explainable, adaptive information extraction from structure-aware nearest neighbor. Neurocomputing 605: 128261 (2024) - [j123]Ruoyi Du, Dongliang Chang, Zhanyu Ma, Kongming Liang, Yi-Zhe Song, Jun Guo:
Semi-Supervised Learning for FGVC With Out-of-Category Data. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2658-2671 (2024) - [j122]Jijie Wu, Dongliang Chang, Aneeshan Sain, Xiaoxu Li, Zhanyu Ma, Jie Cao, Jun Guo, Yi-Zhe Song:
Bi-Directional Ensemble Feature Reconstruction Network for Few-Shot Fine-Grained Classification. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6082-6096 (2024) - [j121]Yixiang Huang, Hongyu Hao, Weichao Ge, Yang Cao, Ming Wu, Chuang Zhang, Jun Guo:
Relation fusion propagation network for transductive few-shot learning. Pattern Recognit. 151: 110367 (2024) - [j120]Xiaoxu Li, Zijie Guo, Rui Zhu, Zhanyu Ma, Jun Guo, Jing-Hao Xue:
A simple scheme to amplify inter-class discrepancy for improving few-shot fine-grained image classification. Pattern Recognit. 156: 110736 (2024) - [j119]Dongliang Chang, Aneeshan Sain, Zhanyu Ma, Yi-Zhe Song, Ruiping Wang, Jun Guo:
Mind the Gap: Open Set Domain Adaptation via Mutual-to-Separate Framework. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4159-4174 (2024) - [c199]Jiayi Gao, Kongming Liang, Tao Wei, Wei Chen, Zhanyu Ma, Jun Guo:
Dual-Prior Augmented Decoding Network for Long Tail Distribution in HOI Detection. AAAI 2024: 1806-1814 - [c198]Zijin Yin, Kongming Liang, Bing Li, Zhanyu Ma, Jun Guo:
Benchmarking Segmentation Models with Mask-Preserved Attribute Editing. CVPR 2024: 22509-22519 - [c197]Wenjie Li, Heng Guo, Xuannan Liu, Kongming Liang, Jiani Hu, Zhanyu Ma, Jun Guo:
Efficient Face Super-Resolution via Wavelet-based Feature Enhancement Network. ACM Multimedia 2024: 4515-4523 - [c196]Yinuo Jing, Ruxu Zhang, Kongming Liang, Yongxiang Li, Zhongjiang He, Zhanyu Ma, Jun Guo:
Animal-Bench: Benchmarking Multimodal Video Models for Animal-centric Video Understanding. NeurIPS 2024 - [i59]Zijin Yin, Kongming Liang, Bing Li, Zhanyu Ma, Jun Guo:
Benchmarking Segmentation Models with Mask-Preserved Attribute Editing. CoRR abs/2403.01231 (2024) - [i58]Mengqiu Xu, Ming Wu, Kaixin Chen, Yixiang Huang, Mingrui Xu, Yujia Yang, Yiqing Feng, Yiying Guo, Bin Huang, Dongliang Chang, Zhenwei Shi, Chuang Zhang, Zhanyu Ma, Jun Guo:
M4Fog: A Global Multi-Regional, Multi-Modal, and Multi-Stage Dataset for Marine Fog Detection and Forecasting to Bridge Ocean and Atmosphere. CoRR abs/2406.13317 (2024) - [i57]Wenjie Li, Heng Guo, Xuannan Liu, Kongming Liang, Jiani Hu, Zhanyu Ma, Jun Guo:
Efficient Face Super-Resolution via Wavelet-based Feature Enhancement Network. CoRR abs/2407.19768 (2024) - [i56]Xinran Wang, Haiwen Zhang, Baoteng Li, Kongming Liang, Hao Sun, Zhongjiang He, Zhanyu Ma, Jun Guo:
Detailed Object Description with Controllable Dimensions. CoRR abs/2411.19106 (2024) - 2023
- [j118]Lanfei Wang, Lingxi Xie, Kaili Zhao, Jun Guo, Qi Tian:
Regularized Differentiable Architecture Search. IEEE Embed. Syst. Lett. 15(3): 129-132 (2023) - [j117]Dongliang Chang, Kaiyue Pang, Ruoyi Du, Yujun Tong, Yi-Zhe Song, Zhanyu Ma, Jun Guo:
Making a Bird AI Expert Work for You and Me. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12068-12084 (2023) - [j116]Lanfei Wang, Lingxi Xie, Kaifeng Bi, Kaili Zhao, Jun Guo, Qi Tian:
M²NAS: Joint Neural Architecture Optimization System With Network Transmission. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(8): 2631-2642 (2023) - [j115]Yixiang Huang, Ming Wu, Xin Jiang, Jiaao Li, Mengqiu Xu, Chuang Zhang, Jun Guo:
Weakly Supervised Sea Fog Detection in Remote Sensing Images via Prototype Learning. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j114]Junhui Yin, Xinyu Zhang, Zhanyu Ma, Jun Guo, Yifan Liu:
A Real-Time Memory Updating Strategy for Unsupervised Person Re-Identification. IEEE Trans. Image Process. 32: 2309-2321 (2023) - [j113]Zhanyu Ma, Xiaoou Lu, Jiyang Xie, Zhen Yang, Jing-Hao Xue, Zheng-Hua Tan, Bo Xiao, Jun Guo:
On the Comparisons of Decorrelation Approaches for Non-Gaussian Neutral Vector Variables. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1823-1837 (2023) - [c195]Jijie Wu, Dongliang Chang, Aneeshan Sain, Xiaoxu Li, Zhanyu Ma, Jie Cao, Jun Guo, Yi-Zhe Song:
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification. AAAI 2023: 2821-2829 - [c194]Zijin Yin, Runpu Wei, Kongming Liang, Yiyang Lin, Wei Liu, Zhanyu Ma, Min Min, Jun Guo:
Semantic Memory Guided Image Representation for Polyp Segmentation. ICASSP 2023: 1-5 - [c193]Kongming Liang, Xinran Wang, Tao Wei, Wei Chen, Zhanyu Ma, Jun Guo:
Attribute Learning with Knowledge Enhanced Partial Annotations. ICIP 2023: 1715-1719 - [c192]Kongming Liang, Xinran Wang, Rui Wang, Donghui Gao, Ling Jin, Weidong Liu, Xiatian Zhu, Zhanyu Ma, Jun Guo:
Vision-Language Assisted Attribute Learning. IC-NIDC 2023: 1-5 - [c191]Zhejun Ren, Jun Guo, Yajing Xu, Bo Xiao:
Retrieve, Generate and Rerank: Simple and Effective Framework for Guided Human-Like Questions Generation. IC-NIDC 2023: 16-20 - [c190]Mingkun Li, Shupeng Cheng, Peng Xu, Xiantian Zhu, Chun-Guang Li, Jun Guo:
Unsupervised Long-Term Person Re-Identification with Clothes Change. IC-NIDC 2023: 167-171 - [c189]Mingyang Li, Chong Li, Yang Song, Yajing Xu, Jun Guo:
Research and Development of Book Query and Management System Based on OCR. IC-NIDC 2023: 394-398 - [c188]Kongming Liang, Xinran Wang, Haiwen Zhang, Zhanyu Ma, Jun Guo:
Hierarchical Visual Attribute Learning in the Wild. ACM Multimedia 2023: 3415-3423 - [i55]Mingkun Li, Peng Xu, Chun-Guang Li, Jun Guo:
MaskCL: Semantic Mask-Driven Contrastive Learning for Unsupervised Person Re-Identification with Clothes Change. CoRR abs/2305.13600 (2023) - [i54]Junhui Yin, Wei Yin, Hao Chen, Xuqian Ren, Zhanyu Ma, Jun Guo, Yifan Liu:
HumanRecon: Neural Reconstruction of Dynamic Human Using Geometric Cues and Physical Priors. CoRR abs/2311.15171 (2023) - [i53]Kongming Liang, Xinran Wang, Rui Wang, Donghui Gao, Ling Jin, Weidong Liu, Xiatian Zhu, Zhanyu Ma, Jun Guo:
Vision-language Assisted Attribute Learning. CoRR abs/2312.07009 (2023) - 2022
- [j112]Shudong Lu, Si Li, Yajing Xu, Kai Wang, Haibo Lan, Jun Guo:
Event detection from text using path-aware graph convolutional network. Appl. Intell. 52(5): 4987-4998 (2022) - [j111]Lanfei Wang, Lingxi Xie, Kaili Zhao, Jun Guo, Qi Tian:
Scalable NAS with factorizable architectural parameters. Neurocomputing 506: 25-36 (2022) - [j110]Junhui Yin, Zhanyu Ma, Jiyang Xie, Shibo Nie, Kongming Liang, Jun Guo:
Dual-granularity feature alignment for cross-modality person re-identification. Neurocomputing 511: 78-90 (2022) - [j109]Lulu Zhao, Weiran Xu, Chunyun Zhang, Jun Guo:
Leveraging speaker-aware structure and factual knowledge for faithful dialogue summarization. Knowl. Based Syst. 245: 108550 (2022) - [j108]Shudong Lu, Gang Zhao, Si Li, Jun Guo:
Explainable document-level event extraction via back-tracing to sentence-level event clues. Knowl. Based Syst. 248: 108715 (2022) - [j107]Yixiang Huang, Ming Wu, Jun Guo, Chuang Zhang, Mengqiu Xu:
A Correlation Context-Driven Method for Sea Fog Detection in Meteorological Satellite Imagery. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j106]Jiyang Xie, Zhanyu Ma, Jianjun Lei, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo:
Advanced Dropout: A Model-Free Methodology for Bayesian Dropout Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4605-4625 (2022) - [j105]Jiyang Xie, Zhanyu Ma, Dongliang Chang, Guoqiang Zhang, Jun Guo:
GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8230-8248 (2022) - [j104]Ruoyi Du, Jiyang Xie, Zhanyu Ma, Dongliang Chang, Yi-Zhe Song, Jun Guo:
Progressive Learning of Category-Consistent Multi-Granularity Features for Fine-Grained Visual Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9521-9535 (2022) - [j103]Junhui Yin, Siqing Zhang, Jiyang Xie, Zhanyu Ma, Jun Guo:
Unsupervised person re-identification via simultaneous clustering and mask prediction. Pattern Recognit. 126: 108568 (2022) - [j102]Junhui Yin, Jiyang Xie, Zhanyu Ma, Jun Guo:
MPCCL: Multiview predictive coding with contrastive learning for person re-identification. Pattern Recognit. 129: 108710 (2022) - [j101]Mingkun Li, He Sun, Chaoqun Lin, Chun-Guang Li, Jun Guo:
The devil in the tail: Cluster consolidation plus cluster adaptive balancing loss for unsupervised person re-identification. Pattern Recognit. 129: 108763 (2022) - [j100]Mengqiu Xu, Ming Wu, Kaixin Chen, Chuang Zhang, Jun Guo:
The Eyes of the Gods: A Survey of Unsupervised Domain Adaptation Methods Based on Remote Sensing Data. Remote. Sens. 14(17): 4380 (2022) - [j99]Jingxuan Yang, Si Li, Sheng Gao, Jun Guo:
CorefDPR: A Joint Model for Coreference Resolution and Dropped Pronoun Recovery in Chinese Conversations. IEEE ACM Trans. Audio Speech Lang. Process. 30: 571-581 (2022) - [j98]Mingkun Li, Chun-Guang Li, Jun Guo:
Cluster-Guided Asymmetric Contrastive Learning for Unsupervised Person Re-Identification. IEEE Trans. Image Process. 31: 3606-3617 (2022) - [j97]Zhanyu Ma, Yuping Lai, Jiyang Xie, Deyu Meng, W. Bastiaan Kleijn, Jun Guo, Jingyi Yu:
Dirichlet Process Mixture of Generalized Inverted Dirichlet Distributions for Positive Vector Data With Extended Variational Inference. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6089-6102 (2022) - [c187]Xiangxuan Shan, Zijin Yin, Jiayi Gao, Kongming Liang, Zhanyu Ma, Jun Guo:
Unsupervised Domain Adaptation for Semantic Segmentation with Global and Local Consistency. CICAI (1) 2022: 154-165 - [c186]Tian Zhang, Kongming Liang, Ruoyi Du, Xian Sun, Zhanyu Ma, Jun Guo:
Learning Invariant Visual Representations for Compositional Zero-Shot Learning. ECCV (24) 2022: 339-355 - [c185]Kerui Xu, Jun Xu, Sheng Gao, Si Li, Jun Guo, Ji-Rong Wen:
A Tag-Based Post-Hoc Framework for Explainable Conversational Recommendation. ICTIR 2022: 232-242 - [c184]Yixiang Huang, Zhaoqing Wang, Xin Jiang, Ming Wu, Chuang Zhang, Jun Guo:
Pointshift: Point-Wise Shift MLP for Pixel-Level Cloud Type Classification in Meteorological Satellite Imagery. IGARSS 2022: 607-610 - [c183]Zijin Yin, Kongming Liang, Zhanyu Ma, Jun Guo:
Duplex Contextual Relation Network For Polyp Segmentation. ISBI 2022: 1-5 - [c182]Yixiao Zheng, Jiyang Xie, Aneeshan Sain, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
ENDE-GNN: An Encoder-decoder GNN Framework for Sketch Semantic Segmentation. VCIP 2022: 1-5 - [i52]Mingkun Li, Peng Xu, Xiatian Zhu, Jun Guo:
Unsupervised Long-Term Person Re-Identification with Clothes Change. CoRR abs/2202.03087 (2022) - [i51]Tian Zhang, Kongming Liang, Ruoyi Du, Xian Sun, Zhanyu Ma, Jun Guo:
Learning Invariant Visual Representations for Compositional Zero-Shot Learning. CoRR abs/2206.00415 (2022) - [i50]Jijie Wu, Dongliang Chang, Aneeshan Sain, Xiaoxu Li, Zhanyu Ma, Jie Cao, Jun Guo, Yi-Zhe Song:
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification. CoRR abs/2211.17161 (2022) - 2021
- [j96]Lulu Zhao, Weiran Xu, Sheng Gao, Jun Guo:
Utilizing graph neural networks to improving dialogue-based relation extraction. Neurocomputing 456: 299-311 (2021) - [j95]Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jun Guo:
Deep InterBoost networks for small-sample image classification. Neurocomputing 456: 492-503 (2021) - [j94]Xiaoxu Li, Liyun Yu, Xiaochen Yang, Zhanyu Ma, Jing-Hao Xue, Jie Cao, Jun Guo:
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification. IEEE Trans. Circuits Syst. Video Technol. 31(4): 1569-1579 (2021) - [j93]Peng Xu, Kun Liu, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo, Yi-Zhe Song:
Fine-Grained Instance-Level Sketch-Based Video Retrieval. IEEE Trans. Circuits Syst. Video Technol. 31(5): 1995-2007 (2021) - [j92]Jiyang Xie, Zhanyu Ma, Jing-Hao Xue, Guoqiang Zhang, Jian Sun, Yinhe Zheng, Jun Guo:
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference in Image Recognition. IEEE Trans. Image Process. 30: 9208-9219 (2021) - [j91]Jiyang Xie, Yixiao Zheng, Ruoyi Du, Weiyu Xiong, Yufei Cao, Zhanyu Ma, Dongpu Cao, Jun Guo:
Deep Learning-Based Computer Vision for Surveillance in ITS: Evaluation of State-of-the-Art Methods. IEEE Trans. Veh. Technol. 70(4): 3027-3042 (2021) - [c181]Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Nianwen Xue, Ji-Rong Wen:
A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech. ACL/IJCNLP (1) 2021: 1752-1763 - [c180]Dongliang Chang, Kaiyue Pang, Yixiao Zheng, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Your "Flamingo" is My "Bird": Fine-Grained, or Not. CVPR 2021: 11476-11485 - [c179]Lulu Zhao, Weihao Zeng, Weiran Xu, Jun Guo:
Give the Truth: Incorporate Semantic Slot into Abstractive Dialogue Summarization. EMNLP (Findings) 2021: 2435-2446 - [c178]Mingfei Cheng, Kaili Zhao, Xuhong Guo, Yajing Xu, Jun Guo:
Joint Topology-preserving and Feature-refinement Network for Curvilinear Structure Segmentation. ICCV 2021: 7127-7136 - [c177]Siqing Zhang, Ruoyi Du, Dongliang Chang, Zhanyu Ma, Jun Guo:
Knowledge Transfer Based Fine-Grained Visual Classification. ICME 2021: 1-6 - [c176]Jingxuan Yang, Si Li, Jun Guo:
Multi-Turn Target-Guided Topic Prediction with Monte Carlo Tree Search. ICON 2021: 324-334 - [c175]Haoyu Wang, Dongliang Chang, Weidong Liu, Bo Xiao, Zhanyu Ma, Jun Guo, Yaning Chang:
Exploring Category-Shared and Category-Specific Features for Fine-Grained Image Classification. PRCV (1) 2021: 179-190 - [c174]Yinan Sun, Kang Yin, Hehuan Liu, Si Li, Yajing Xu, Jun Guo:
Meta-Learned Specific Scenario Interest Network for User Preference Prediction. SIGIR 2021: 1970-1974 - [c173]Tian Zhang, Dongliang Chang, Zhanyu Ma, Jun Guo:
Progressive Co-Attention Network for Fine-Grained Visual Classification. VCIP 2021: 1-5 - [c172]Kerui Xu, Jingxuan Yang, Jun Xu, Sheng Gao, Jun Guo, Ji-Rong Wen:
Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation. WSDM 2021: 364-372 - [i49]Tian Zhang, Dongliang Chang, Zhanyu Ma, Jun Guo:
Progressive Co-Attention Network for Fine-grained Visual Classification. CoRR abs/2101.08527 (2021) - [i48]Zijin Yin, Kongming Liang, Zhanyu Ma, Jun Guo:
Duplex Contextual Relation Network for Polyp Segmentation. CoRR abs/2103.06725 (2021) - [i47]Junhui Yin, Jiayan Qiu, Siqing Zhang, Jiyang Xie, Zhanyu Ma, Jun Guo:
Unsupervised Person Re-identification via Simultaneous Clustering and Consistency Learning. CoRR abs/2104.00202 (2021) - [i46]Junhui Yin, Zhanyu Ma, Jiyang Xie, Shibo Nie, Kongming Liang, Jun Guo:
DF^2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification. CoRR abs/2104.00226 (2021) - [i45]Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Nianwen Xue, Ji-Rong Wen:
A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech. CoRR abs/2106.03345 (2021) - [i44]Mingkun Li, Chun-Guang Li, Jun Guo:
Cluster-guided Asymmetric Contrastive Learning for Unsupervised Person Re-Identification. CoRR abs/2106.07846 (2021) - [i43]Lulu Zhao, Fujia Zheng, Keqing He, Weihao Zeng, Yuejie Lei, Huixing Jiang, Wei Wu, Weiran Xu, Jun Guo, Fanyu Meng:
TODSum: Task-Oriented Dialogue Summarization with State Tracking. CoRR abs/2110.12680 (2021) - [i42]Dongliang Chang, Kaiyue Pang, Ruoyi Du, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Making a Bird AI Expert Work for You and Me. CoRR abs/2112.02747 (2021) - [i41]Ruoyi Du, Dongliang Chang, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data. CoRR abs/2112.02825 (2021) - 2020
- [j90]Junjian Zhang, Chun-Guang Li, Tianming Du, Honggang Zhang, Jun Guo:
Convolutional Subspace Clustering Network With Block Diagonal Prior. IEEE Access 8: 5723-5732 (2020) - [j89]Fangyi Zhu, Jenq-Neng Hwang, Zhanyu Ma, Guang Chen, Jun Guo:
Understanding Objects in Video: Object-Oriented Video Captioning via Structured Trajectory and Adversarial Learning. IEEE Access 8: 169146-169159 (2020) - [j88]Xuezhao Zheng, Hu Wang, Jun Guo, Duo Zhang:
Method for multi-information drilling detection after mining disasters. Comput. Electr. Eng. 86: 106726 (2020) - [j87]Yuanyuan Qi, Jiayue Zhang, Weiran Xu, Jun Guo:
Salient context-based semantic matching for information retrieval. EURASIP J. Adv. Signal Process. 2020(1): 33 (2020) - [j86]Ruo-Pei Guo, Chun-Guang Li, Yonghua Li, Jiaru Lin, Jun Guo:
Density-adaptive kernel based efficient reranking approaches for person reidentification. Neurocomputing 411: 91-111 (2020) - [j85]Lulu Zhao, Weiran Xu, Sheng Gao, Jun Guo:
Cross-sentence N-ary relation classification using LSTMs on graph and sequence structures. Knowl. Based Syst. 207: 106266 (2020) - [j84]Jingxuan Yang, Haotian Cui, Si Li, Sheng Gao, Jun Guo, Zhengdong Lu:
Outline Extraction with Question-Specific Memory Cells. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(4): 48:1-48:17 (2020) - [j83]Zhanyu Ma, Jiyang Xie, Hailong Li, Qie Sun, Fredrik Wallin, Zhongwei Si, Jun Guo:
Deep Neural Network-Based Impacts Analysis of Multimodal Factors on Heat Demand Prediction. IEEE Trans. Big Data 6(3): 594-605 (2020) - [j82]Dongliang Chang, Yifeng Ding, Jiyang Xie, Ayan Kumar Bhunia, Xiaoxu Li, Zhanyu Ma, Ming Wu, Jun Guo, Yi-Zhe Song:
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification. IEEE Trans. Image Process. 29: 4683-4695 (2020) - [j81]Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jingyi Yu, Jun Guo:
OSLNet: Deep Small-Sample Classification With an Orthogonal Softmax Layer. IEEE Trans. Image Process. 29: 6482-6495 (2020) - [j80]Zhanyu Ma, Jiyang Xie, Yuping Lai, Jalil Taghia, Jing-Hao Xue, Jun Guo:
Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2240-2254 (2020) - [c171]Yuanyuan Qi, Jiayue Zhang, Yansong Liu, Weiran Xu, Jun Guo:
CGTR: Convolution Graph Topology Representation for Document Ranking. CIKM 2020: 2173-2176 - [c170]Lulu Zhao, Weiran Xu, Jun Guo:
Improving Abstractive Dialogue Summarization with Graph Structures and Topic Words. COLING 2020: 437-449 - [c169]Xiaolin Song, Kaili Zhao, Wen-Sheng Chu, Honggang Zhang, Jun Guo:
Progressive Refinement Network for Occluded Pedestrian Detection. ECCV (23) 2020: 32-48 - [c168]Ruoyi Du, Dongliang Chang, Ayan Kumar Bhunia, Jiyang Xie, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Fine-Grained Visual Classification via Progressive Multi-granularity Training of Jigsaw Patches. ECCV (20) 2020: 153-168 - [c167]Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Ji-Rong Wen, Nianwen Xue:
Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields. EMNLP (Findings) 2020: 137-147 - [c166]Mingkun Li, Chun-Guang Li, Ruo-Pei Guo, Jun Guo:
Self-paced Bottom-up Clustering Network with Side Information for Person Re-Identification. ICPR 2020: 1430-1437 - [c165]Junhui Yin, Siqing Zhang, Dongliang Chang, Zhanyu Ma, Jun Guo:
Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization. ICPR 2020: 4229-4236 - [c164]Yuanyuan Qi, Jiayue Zhang, Weiran Xu, Jun Guo, Honggang Zhang:
Learning Graph Topology Representation with Attention Networks. VCIP 2020: 1-4 - [i40]Dongliang Chang, Yifeng Ding, Jiyang Xie, Ayan Kumar Bhunia, Xiaoxu Li, Zhanyu Ma, Ming Wu, Jun Guo, Yi-Zhe Song:
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification. CoRR abs/2002.04264 (2020) - [i39]Peng Xu, Kun Liu, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo, Yi-Zhe Song:
Fine-Grained Instance-Level Sketch-Based Video Retrieval. CoRR abs/2002.09461 (2020) - [i38]Fangyi Zhu, Jenq-Neng Hwang, Zhanyu Ma, Jun Guo:
Object-Oriented Video Captioning with Temporal Graph and Prior Knowledge Building. CoRR abs/2003.03715 (2020) - [i37]Dongliang Chang, Aneeshan Sain, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation. CoRR abs/2003.03787 (2020) - [i36]Ruoyi Du, Dongliang Chang, Ayan Kumar Bhunia, Jiyang Xie, Yi-Zhe Song, Zhanyu Ma, Jun Guo:
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches. CoRR abs/2003.03836 (2020) - [i35]Jiyang Xie, Dongliang Chang, Zhanyu Ma, Guoqiang Zhang, Jun Guo:
Channel Attention with Embedding Gaussian Process: A Probabilistic Methodology. CoRR abs/2003.04575 (2020) - [i34]Junhui Yin, Siqing Zhang, Dongliang Chang, Zhanyu Ma, Jun Guo:
Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization. CoRR abs/2003.04719 (2020) - [i33]Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jingyi Yu, Jun Guo:
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer. CoRR abs/2004.09033 (2020) - [i32]Xiaoxu Li, Liyun Yu, Xiaochen Yang, Zhanyu Ma, Jing-Hao Xue, Jie Cao, Jun Guo:
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification. CoRR abs/2006.15366 (2020) - [i31]Junhui Yin, Jiayan Qiu, Siqing Zhang, Zhanyu Ma, Jun Guo:
SSKD: Self-Supervised Knowledge Distillation for Cross Domain Adaptive Person Re-Identification. CoRR abs/2009.05972 (2020) - [i30]Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Ji-Rong Wen, Nianwen Xue:
Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields. CoRR abs/2010.03224 (2020) - [i29]Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo:
Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization. CoRR abs/2010.05244 (2020) - [i28]Jiyang Xie, Zhanyu Ma, Jing-Hao Xue, Guoqiang Zhang, Jun Guo:
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference. CoRR abs/2011.08595 (2020) - [i27]Dongliang Chang, Kaiyue Pang, Yixiao Zheng, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Your "Labrador" is My "Dog": Fine-Grained, or Not. CoRR abs/2011.09040 (2020) - [i26]Siqing Zhang, Ruoyi Du, Dongliang Chang, Zhanyu Ma, Jun Guo:
Knowledge Transfer Based Fine-grained Visual Classification. CoRR abs/2012.11389 (2020)
2010 – 2019
- 2019
- [j79]Zhen Qin, Zhengwen Zhang, Yan Li, Jun Guo:
Making Deep Neural Networks Robust to Label Noise: Cross-Training With a Novel Loss Function. IEEE Access 7: 130893-130902 (2019) - [j78]Yajing Xu, Weijie Liu, Guang Chen, Boya Ren, Siman Zhang, Sheng Gao, Jun Guo:
Enhancing Machine Reading Comprehension With Position Information. IEEE Access 7: 141602-141611 (2019) - [j77]Fangyi Zhu, Zhanyu Ma, Xiaoxu Li, Guang Chen, Jen-Tzung Chien, Jing-Hao Xue, Jun Guo:
Image-text dual neural network with decision strategy for small-sample image classification. Neurocomputing 328: 182-188 (2019) - [j76]Weihong Deng, Jiani Hu, Jun Guo:
Compressive Binary Patterns: Designing a Robust Binary Face Descriptor with Random-Field Eigenfilters. IEEE Trans. Pattern Anal. Mach. Intell. 41(3): 758-767 (2019) - [j75]Lanfei Wang, Jiangming Kan, Jun Guo, Chao Wang:
3D Path Planning for the Ground Robot with Improved Ant Colony Optimization. Sensors 19(4): 815 (2019) - [j74]Zhanyu Ma, Yuping Lai, W. Bastiaan Kleijn, Yi-Zhe Song, Liang Wang, Jun Guo:
Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling. IEEE Trans. Neural Networks Learn. Syst. 30(2): 449-463 (2019) - [j73]Zhanyu Ma, Hong Yu, Wei Chen, Jun Guo:
Short Utterance Based Speech Language Identification in Intelligent Vehicles With Time-Scale Modifications and Deep Bottleneck Features. IEEE Trans. Veh. Technol. 68(1): 121-128 (2019) - [j72]Zhanyu Ma, Dongliang Chang, Jiyang Xie, Yifeng Ding, Shaoguo Wen, Xiaoxu Li, Zhongwei Si, Jun Guo:
Fine-Grained Vehicle Classification With Channel Max Pooling Modified CNNs. IEEE Trans. Veh. Technol. 68(4): 3224-3233 (2019) - [j71]Jun Guo, Sunwoo Kim, Henk Wymeersch, Walid Saad, Wei Chen:
Guest Editorial: Introduction to the Special Section on Machine Learning-Based Internet of Vehicles: Theory, Methodology, and Applications. IEEE Trans. Veh. Technol. 68(5): 4105-4109 (2019) - [c163]Junjian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi, Honggang Zhang, Jun Guo, Zhouchen Lin:
Self-Supervised Convolutional Subspace Clustering Network. CVPR 2019: 5473-5482 - [c162]Lanfei Wang, Jun Guo:
Cascaded Algorithm Representation for Purifying Face Dataset with Labeled Noise. CyberC 2019: 139-142 - [c161]Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo:
Soft Dropout And Its Variational Bayes Approximation. MLSP 2019: 1-6 - [c160]Jingxuan Yang, Jianzhuo Tong, Si Li, Sheng Gao, Jun Guo, Nianwen Xue:
Recovering dropped pronouns in Chinese conversations via modeling their referents. NAACL-HLT (1) 2019: 892-901 - [c159]Yadi Lao, Jun Xu, Sheng Gao, Jun Guo, Ji-Rong Wen:
Name Entity Recognition with Policy-Value Networks. SIGIR 2019: 1245-1248 - [c158]Yuanyuan Qi, Jiayue Zhang, Weiran Xu, Jun Guo, Yan Li:
Finding Salient Context based on Semantic Matching for Relevance Ranking. VCIP 2019: 1-4 - [i25]Zhanyu Ma, Jalil Taghia, Jun Guo:
On the Convergence of Extended Variational Inference for Non-Gaussian Statistical Models. CoRR abs/1902.05068 (2019) - [i24]Jingxuan Yang, Jun Xu, Jianzhuo Tong, Sheng Gao, Jun Guo, Jirong Wen:
Pre-training of Context-aware Item Representation for Next Basket Recommendation. CoRR abs/1904.12604 (2019) - [i23]Junjian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi, Honggang Zhang, Jun Guo, Zhouchen Lin:
Self-Supervised Convolutional Subspace Clustering Network. CoRR abs/1905.00149 (2019) - [i22]Jingxuan Yang, Jianzhuo Tong, Si Li, Sheng Gao, Jun Guo, Nianwen Xue:
Recovering Dropped Pronouns in Chinese Conversations via Modeling Their Referents. CoRR abs/1906.02128 (2019) - [i21]Yuanyuan Qi, Jiayue Zhang, Weiran Xu, Jun Guo:
Finding Salient Context based on Semantic Matching for Relevance Ranking. CoRR abs/1909.01165 (2019) - [i20]Lanfei Wang, Lingxi Xie, Tianyi Zhang, Jun Guo, Qi Tian:
Scalable NAS with Factorizable Architectural Parameters. CoRR abs/1912.13256 (2019) - 2018
- [j70]Peng Xu, Qiyue Yin, Yongye Huang, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Tao Xiang, W. Bastiaan Kleijn, Jun Guo:
Cross-modal subspace learning for fine-grained sketch-based image retrieval. Neurocomputing 278: 75-86 (2018) - [j69]Lin Qiu, Sheng Gao, Qinjie Lyu, Jun Guo, Patrick Gallinari:
A novel non-Gaussian embedding based model for recommender systems. Neurocomputing 278: 144-152 (2018) - [j68]Xiaoxu Li, Zhanyu Ma, Pai Peng, Xiaowei Guo, Feiyue Huang, Xiaojie Wang, Jun Guo:
Supervised latent Dirichlet allocation with a mixture of sparse softmax. Neurocomputing 312: 324-335 (2018) - [j67]Xiaoxu Li, Zhanyu Ma, Pai Peng, Xiaowei Guo, Feiyue Huang, Xiaojie Wang, Jun Guo:
Corrigendum to "Supervised latent Dirichlet allocation with a mixture of sparse softmax" [Neurocomputing, volume 312, 27 October 2018, Pages 324-335]. Neurocomputing 318: 306 (2018) - [j66]Weihong Deng, Jiani Hu, Jun Guo:
Face Recognition via Collaborative Representation: Its Discriminant Nature and Superposed Representation. IEEE Trans. Pattern Anal. Mach. Intell. 40(10): 2513-2521 (2018) - [j65]Weihong Deng, Jiani Hu, Zhongjun Wu, Jun Guo:
From one to many: Pose-Aware Metric Learning for single-sample face recognition. Pattern Recognit. 77: 426-437 (2018) - [j64]Zhanyu Ma, Jing-Hao Xue, Arne Leijon, Zheng-Hua Tan, Zhen Yang, Jun Guo:
Decorrelation of Neutral Vector Variables: Theory and Applications. IEEE Trans. Neural Networks Learn. Syst. 29(1): 129-143 (2018) - [j63]Hong Yu, Zheng-Hua Tan, Zhanyu Ma, Rainer Martin, Jun Guo:
Spoofing Detection in Automatic Speaker Verification Systems Using DNN Classifiers and Dynamic Acoustic Features. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4633-4644 (2018) - [j62]Jianlou Si, Honggang Zhang, Chun-Guang Li, Jun Guo:
Spatial Pyramid-Based Statistical Features for Person Re-Identification: A Comprehensive Evaluation. IEEE Trans. Syst. Man Cybern. Syst. 48(7): 1140-1154 (2018) - [j61]Lichao Yang, Heli Zhang, Ming Li, Jun Guo, Hong Ji:
Mobile Edge Computing Empowered Energy Efficient Task Offloading in 5G. IEEE Trans. Veh. Technol. 67(7): 6398-6409 (2018) - [j60]Jiyang Xie, Zeyu Song, Yupeng Li, Yanting Zhang, Hong Yu, Jinnan Zhan, Zhanyu Ma, Yuanyuan Qiao, Jianhua Zhang, Jun Guo:
A Survey on Machine Learning-Based Mobile Big Data Analysis: Challenges and Applications. Wirel. Commun. Mob. Comput. 2018: 8738613:1-8738613:19 (2018) - [j59]Jun Guo, Zheng-Hua Tan, Sung Ho Cho, Guoqiang Zhang:
Wireless Personal Communications: Machine Learning for Big Data Processing in Mobile Internet. Wirel. Pers. Commun. 102(3): 2093-2098 (2018) - [c157]Dongliang Chang, Xiaoxu Li, Jiyang Xie, Zhanyu Ma, Jun Guo, Jie Cao:
SSE: A New Selective Initialization Strategy for Snapshot Ensembling. CCIS 2018: 542-547 - [c156]Jiashu Liu, Guang Chen, Jun Guo:
SENet for Weakly-Supervised Relation Extraction. CSAI/ICIMT 2018: 511-515 - [c155]Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo:
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval. CVPR 2018: 8090-8098 - [c154]Lanfei Wang, Jun Guo, Qu Wang, Jiangming Kan:
Ground Robot Path Planning Based on Simulated Annealing Genetic Algorithm. CyberC 2018 - [c153]Lanfei Wang, Jiangming Kan, Jun Guo, Chao Wang:
Improved Ant Colony Optimization for Ground Robot 3D Path Planning. CyberC 2018 - [c152]Chun-Guang Li, Junjian Zhang, Jun Guo:
Constrained Sparse Subspace Clustering with Side-Information. ICPR 2018: 2093-2099 - [c151]Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Jen-Tzung Chien, Zhiqing Lin, Jun Guo:
Balson: Bayesian least squares Optimization with Nonnegative L1-norm Constraint. MLSP 2018: 1-6 - [i19]Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo:
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval. CoRR abs/1804.01401 (2018) - [i18]Chun-Guang Li, Junjian Zhang, Jun Guo:
Constrained Sparse Subspace Clustering with Side-Information. CoRR abs/1805.08183 (2018) - [i17]Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Jen-Tzung Chien, Zhiqing Lin, Jun Guo:
BALSON: Bayesian Least Squares Optimization with Nonnegative L1-Norm Constraint. CoRR abs/1807.02795 (2018) - [i16]Jiyang Xie, Jiaxin Guo, Zhanyu Ma, Jing-Hao Xue, Qie Sun, Hailong Li, Jun Guo:
SEA: A Combined Model for Heat Demand Prediction. CoRR abs/1808.00331 (2018) - [i15]Jiyang Xie, Zhanyu Ma, Jun Guo:
Impacts of Weather Conditions on District Heat System. CoRR abs/1808.00961 (2018) - 2017
- [j58]Hong Yu, Zheng-Hua Tan, Yiming Zhang, Zhanyu Ma, Jun Guo:
DNN Filter Bank Cepstral Coefficients for Spoofing Detection. IEEE Access 5: 4779-4787 (2017) - [j57]Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo:
A Novel Embedding Model for Relation Prediction in Recommendation Systems. IEICE Trans. Inf. Syst. 100-D(6): 1242-1250 (2017) - [j56]Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo:
Zero-Shot Embedding for Unseen Entities in Knowledge Graph. IEICE Trans. Inf. Syst. 100-D(7): 1440-1447 (2017) - [j55]Si Li, Zhaoyan Ming, Yan Leng, Jun Guo:
Product ranking using hierarchical aspect structures. J. Intell. Inf. Syst. 48(2): 453-474 (2017) - [j54]Pengda Qin, Weiran Xu, Jun Guo:
Providing Definitive Learning Direction for Relation Classification System. J. Control. Sci. Eng. 2017: 3924641:1-3924641:10 (2017) - [j53]Jiayue Zhang, Weiran Xu, Jun Guo, Sheng Gao:
A temporal model in Electronic Health Record search. Knowl. Based Syst. 126: 56-67 (2017) - [j52]Zhanyu Ma, Jiyang Xie, Hailong Li, Qie Sun, Zhongwei Si, Jianhua Zhang, Jun Guo:
The Role of Data Analysis in the Development of Intelligent Energy Networks. IEEE Netw. 31(5): 88-95 (2017) - [j51]Weihong Deng, Jiani Hu, Nanhai Zhang, Binghui Chen, Jun Guo:
Fine-grained face verification: FGLFW database, baselines, and human-DCMN partnership. Pattern Recognit. 66: 63-73 (2017) - [j50]Weihong Deng, Jiani Hu, Zhongjun Wu, Jun Guo:
Lighting-aware face frontalization for unconstrained face recognition. Pattern Recognit. 68: 260-271 (2017) - [j49]Sheng Gao, Huacan Pang, Patrick Gallinari, Jun Guo, Nei Kato:
A Novel Embedding Method for Information Diffusion Prediction in Social Network Big Data. IEEE Trans. Ind. Informatics 13(4): 2097-2105 (2017) - [j48]Xianbiao Qi, Guoying Zhao, Chun-Guang Li, Jun Guo, Matti Pietikäinen:
HEp-2 Cell Classification via Combining Multiresolution Co-Occurrence Texture and Large Region Shape Information. IEEE J. Biomed. Health Informatics 21(2): 429-440 (2017) - [c150]Fangyi Zhu, Xiaoxu Li, Zhanyu Ma, Guang Chen, Pai Peng, Xiaowei Guo, Jen-Tzung Chien, Jun Guo:
Image-Text Dual Model for Small-Sample Image Classification. CCCV (2) 2017: 556-565 - [c149]Jun Xie, Sha Wu, Yansong Li, Jun Guo, Wen Sun, Jiajia Liu:
My Smartphone Knows Your Health Data: Exploiting Android-Based Deception Attacks Against Smartbands. CSS 2017: 291-306 - [c148]Jun Guo, Heli Zhang, Lichao Yang, Hong Ji, Xi Li:
Decentralized Computation Offloading in Mobile Edge Computing Empowered Small-Cell Networks. GLOBECOM Workshops 2017: 1-6 - [c147]Pengda Qin, Weiran Xu, Jun Guo:
Designing an adaptive attention mechanism for relation classification. IJCNN 2017: 4356-4362 - [c146]Heli Zhang, Jun Guo, Lichao Yang, Xi Li, Hong Ji:
Computation offloading considering fronthaul and backhaul in small-cell networks integrated with MEC. INFOCOM Workshops 2017: 115-120 - [c145]Hong Yu, Zheng-Hua Tan, Zhanyu Ma, Jun Guo:
Adversarial Network Bottleneck Features for Noise Robust Speaker Verification. INTERSPEECH 2017: 1492-1496 - [c144]Pengda Qin, Weiran Xu, Jun Guo:
A Targeted Retraining Scheme of Unsupervised Word Embeddings for Specific Supervised Tasks. PAKDD (2) 2017: 3-14 - [i14]Hong Yu, Zheng-Hua Tan, Zhanyu Ma, Jun Guo:
DNN Filter Bank Cepstral Coefficients for Spoofing Detection. CoRR abs/1702.03791 (2017) - [i13]Peng Xu, Qiyue Yin, Yongye Huang, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Tao Xiang, W. Bastiaan Kleijn, Jun Guo:
Cross-modal Subspace Learning for Fine-grained Sketch-based Image Retrieval. CoRR abs/1705.09888 (2017) - [i12]Zhanyu Ma, Jing-Hao Xue, Arne Leijon, Zheng-Hua Tan, Zhen Yang, Jun Guo:
Decorrelation of Neutral Vector Variables: Theory and Applications. CoRR abs/1705.10524 (2017) - [i11]Zhanyu Ma, Jiyang Xie, Hailong Li, Qie Sun, Zhongwei Si, Jianhua Zhang, Jun Guo:
The Role of Data Analysis in the Development of Intelligent Energy Networks. CoRR abs/1705.11132 (2017) - [i10]Hong Yu, Zheng-Hua Tan, Zhanyu Ma, Jun Guo:
Adversarial Network Bottleneck Features for Noise Robust Speaker Verification. CoRR abs/1706.03397 (2017) - 2016
- [j47]Zhanyu Ma, Hong Yu, Zheng-Hua Tan, Jun Guo:
Text-Independent Speaker Identification Using the Histogram Transform Model. IEEE Access 4: 9733-9739 (2016) - [j46]Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo:
A Novel Multimodal Deep Neural Network Framework for Extending Knowledge Base. Computación y Sistemas 20(3): 459-466 (2016) - [j45]Zhanyu Ma, Zheng-Hua Tan, Jun Guo:
Feature selection for neutral vector in EEG signal classification. Neurocomputing 174: 937-945 (2016) - [j44]Pengda Qin, Weiran Xu, Jun Guo:
A novel negative sampling based on TFIDF for learning word representation. Neurocomputing 177: 257-265 (2016) - [j43]Pengda Qin, Weiran Xu, Jun Guo:
An empirical convolutional neural network approach for semantic relation classification. Neurocomputing 190: 1-9 (2016) - [j42]Qie Sun, Hailong Li, Zhanyu Ma, Chao Wang, Javier Campillo, Qi Zhang, Fredrik Wallin, Jun Guo:
A Comprehensive Review of Smart Energy Meters in Intelligent Energy Networks. IEEE Internet Things J. 3(4): 464-479 (2016) - [j41]Jiajia Liu, Hiroki Nishiyama, Nei Kato, Jun Guo:
On the Outage Probability of Device-to-Device-Communication-Enabled Multichannel Cellular Networks: An RSS-Threshold-Based Perspective. IEEE J. Sel. Areas Commun. 34(1): 163-175 (2016) - [j40]Lin Qiu, Sheng Gao, Wenlong Cheng, Jun Guo:
Aspect-based latent factor model by integrating ratings and reviews for recommender system. Knowl. Based Syst. 110: 233-243 (2016) - [c143]Jiayue Zhang, Weiran Xu, Jun Guo:
A time-aware approach for boosting medical records search. DMIAF 2016: 99-102 - [c142]Peng Xu, Qiyue Yin, Yonggang Qi, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Jun Guo:
Instance-Level Coupled Subspace Learning for Fine-Grained Sketch-Based Image Retrieval. ECCV Workshops (1) 2016: 19-34 - [c141]Jingxuan Yang, Qinjie Lyu, Sheng Gao, Lin Qiu, Jun Guo:
Review aspect extraction based on character-enhanced embedding models. IC-NIDC 2016: 219-223 - [c140]Huanyu Zhou, Ni Zhang, Di Huang, Zhanyu Ma, Weisong Hu, Jun Guo:
Activation force-based air pollution tracing. IC-NIDC 2016: 427-431 - [c139]Peng Xu, Ke Li, Zhanyu Ma, Yi-Zhe Song, Liang Wang, Jun Guo:
Cross-modal subspace learning for sketch-based image retrieval: A comparative study. IC-NIDC 2016: 500-504 - [c138]Hong Yu, Achintya Kumar Sarkar, Dennis Alexander Lehmann Thomsen, Zheng-Hua Tan, Zhanyu Ma, Jun Guo:
Effect of multi-condition training and speech enhancement methods on spoofing detection. SPLINE 2016: 1-5 - [c137]Junjian Zhang, Chun-Guang Li, Honggang Zhang, Jun Guo:
Low-rank and structured sparse subspace clustering. VCIP 2016: 1-4 - 2015
- [j39]Qiang Wang, Zhiyuan Guo, Jun Guo, Gang Liu:
Optimization of Filter Combination for Query by Humming. Circuits Syst. Signal Process. 34(10): 3373-3393 (2015) - [j38]Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo:
Knowledge base completion by learning pairwise-interaction differentiated embeddings. Data Min. Knowl. Discov. 29(5): 1486-1504 (2015) - [j37]Di Huang, Ni Zhang, Hong Yu, Huanyu Zhou, Zhanyu Ma, Weisong Hu, Jun Guo:
Activation Force-based Air Pollution Observation Station Clustering. EAI Endorsed Trans. Wirel. Spectr. 1(5): e2 (2015) - [j36]Kaili Zhao, Honggang Zhang, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Multi-label learning with prior knowledge for facial expression analysis. Neurocomputing 157: 280-289 (2015) - [j35]Yonggang Qi, Jun Guo, Yi-Zhe Song, Tao Xiang, Honggang Zhang, Zheng-Hua Tan:
Im2Sketch: Sketch generation by unconflicted perceptual grouping. Neurocomputing 165: 338-349 (2015) - [j34]Chunyun Zhang, Weiran Xu, Zhanyu Ma, Sheng Gao, Qun Li, Jun Guo:
Construction of semantic bootstrapping models for relation extraction. Knowl. Based Syst. 83: 128-137 (2015) - [j33]Chunyun Zhang, Yichang Zhang, Weiran Xu, Zhanyu Ma, Yan Leng, Jun Guo:
Mining activation force defined dependency patterns for relation extraction. Knowl. Based Syst. 86: 278-287 (2015) - [j32]Yan Li, Zhen Qin, Weiran Xu, Jun Guo:
A holistic model of mining product aspects and associated sentiments from online reviews. Multim. Tools Appl. 74(23): 10177-10194 (2015) - [j31]Zhanyu Ma, Andrew E. Teschendorff, Arne Leijon, Yuanyuan Qiao, Honggang Zhang, Jun Guo:
Variational Bayesian Matrix Factorization for Bounded Support Data. IEEE Trans. Pattern Anal. Mach. Intell. 37(4): 876-889 (2015) - [j30]Zhanyu Ma, Jalil Taghia, W. Bastiaan Kleijn, Arne Leijon, Jun Guo:
Line spectral frequencies modeling by a mixture of von Mises-Fisher distributions. Signal Process. 114: 219-224 (2015) - [c136]Siting Ren, Sheng Gao, Jianxin Liao, Jun Guo:
Improving Cross-Domain Recommendation through Probabilistic Cluster-Level Latent Factor Model. AAAI 2015: 4200-4201 - [c135]Sheng Gao, Dai Zhang, Honggang Zhang, Chao Huang, Yongsheng Zhang, Jianxin Liao, Jun Guo:
VecLP: A Realtime Video Recommendation System for Live TV Programs. AAAI 2015: 4274-4275 - [c134]Yonggang Qi, Yi-Zhe Song, Tao Xiang, Honggang Zhang, Timothy M. Hospedales, Yi Li, Jun Guo:
Making better use of edges via perceptual grouping. CVPR 2015: 1856-1865 - [c133]Chun-Guang Li, Zhouchen Lin, Honggang Zhang, Jun Guo:
Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning. ICCV 2015: 2767-2775 - [c132]Jiajia Liu, Shangwei Zhang, Hiroki Nishiyama, Nei Kato, Jun Guo:
A stochastic geometry analysis of D2D overlaying multi-channel downlink cellular networks. INFOCOM 2015: 46-54 - [c131]Rasmus Lyngby Kristensen, Zheng-Hua Tan, Zhanyu Ma, Jun Guo:
Binary pattern flavored feature extractors for Facial Expression Recognition: An overview. MIPRO 2015: 1131-1137 - [c130]Haiyang He, Yuanyuan Qiao, Sheng Gao, Jie Yang, Jun Guo:
Prediction of User Mobility Pattern on a Network Traffic Analysis Platform. MobiArch 2015: 39-44 - [c129]Di Huang, Ni Zhang, Hong Yu, Huanyu Zhou, Zhanyu Ma, Weisong Hu, Jun Guo:
Activation force-based air pollution observation station clustering. QSHINE 2015: 115-121 - [c128]Chunyun Zhang, Zhanyu Ma, Jiayue Zhang, Weiran Xu, Jun Guo:
A multi-level system for sequential update summarization. QSHINE 2015: 144-148 - [c127]Weihong Deng, Jiani Hu, Shuo Zhang, Jun Guo:
DeepEmo: Real-world facial expression analysis via deep learning. VCIP 2015: 1-4 - [c126]Zhen Qin, Chun-Guang Li, Honggang Zhang, Jun Guo:
Improving tag matrix completion for image annotation and retrieval. VCIP 2015: 1-4 - [i9]Pengda Qin, Chaoyi Ma, Yidong Jia, Wei Wang, Zhengkuan Zhang, Zuyi Bao, Weiran Xu, Jun Guo:
BUPT_PRIS at TAC KBP 2015. TAC 2015 - [i8]Xianbiao Qi, Guoying Zhao, Chun-Guang Li, Jun Guo, Matti Pietikäinen:
HEp-2 Cell Classification via Fusing Texture and Shape Information. CoRR abs/1502.04658 (2015) - 2014
- [j29]Wenting Lu, Lei Li, Jingxuan Li, Tao Li, Honggang Zhang, Jun Guo:
A multimedia information fusion framework for web image categorization. Multim. Tools Appl. 70(3): 1453-1486 (2014) - [j28]Liang Yin, Mingzhi Dong, Ying Duan, Weihong Deng, Kaili Zhao, Jun Guo:
A high-performance training-free approach for hand gesture recognition with accelerometer. Multim. Tools Appl. 72(1): 843-864 (2014) - [j27]Weihong Deng, Jiani Hu, Jiwen Lu, Jun Guo:
Transform-Invariant PCA: A Unified Approach to Fully Automatic FaceAlignment, Representation, and Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 36(6): 1275-1284 (2014) - [j26]Xianbiao Qi, Rong Xiao, Chun-Guang Li, Yu Qiao, Jun Guo, Xiaoou Tang:
Pairwise Rotation Invariant Co-Occurrence Local Binary Pattern. IEEE Trans. Pattern Anal. Mach. Intell. 36(11): 2199-2213 (2014) - [j25]Weihong Deng, Jiani Hu, Xiuzhuang Zhou, Jun Guo:
Equidistant prototypes embedding for single sample based face recognition with generic learning and incremental learning. Pattern Recognit. 47(12): 3738-3749 (2014) - [j24]Zhanyu Ma, Saikat Chatterjee, W. Bastiaan Kleijn, Jun Guo:
Dirichlet mixture modeling to estimate an empirical lower bound for LSF quantization. Signal Process. 104: 291-295 (2014) - [c125]Weihong Deng, Jiani Hu, Liu Liu, Jun Guo:
Transformed Principal Gradient Orientation for Robust and Precise Batch Face Alignment. ACCV (4) 2014: 708-723 - [c124]Hong Yu, Zhanyu Ma, Minyue Li, Jun Guo:
Histogram transform model using MFCC features for text-independent speaker identification. ACSSC 2014: 500-504 - [c123]Qun Luo, Weiran Xu, Jun Guo:
A Study on the CBOW Model's Overfitting and Stability. Web-KRM@CIKM 2014: 9-12 - [c122]Weihong Deng, Jiani Hu, Jun Guo:
Linear Ranking Analysis. CVPR 2014: 3638-3645 - [c121]Zhanyu Ma, Rainer Martin, Jun Guo, Honggang Zhang:
Nonlinear estimation of missing ΔLSF parameters by a mixture of Dirichlet distributions. ICASSP 2014: 6929-6933 - [c120]Jun Guo, Guotao Li, Bing Li, Shuai Wang:
A ship active vibration isolation system based on a novel 5-DOF parallel mechanism. ICIA 2014: 800-805 - [c119]Kaili Zhao, Honggang Zhang, Jun Guo:
An adaptive group lasso based multi-label regression approach for facial expression analysis. ICIP 2014: 1435-1439 - [c118]Jiani Hu, Weihong Deng, Jun Guo, Yajing Xu:
Max-K-Min Distance Analysis for Dimension Reduction. ICPR 2014: 726-731 - [c117]Yan Li, Hui Wang, Zhen Qin, Weiran Xu, Jun Guo:
Confidence Estimation and Reputation Analysis in Aspect Extraction. ICPR 2014: 3612-3617 - [c116]Jiani Hu, Weihong Deng, Jun Guo:
Online Regression of Grandmother-Cell Responses with Visual Experience Learning for Face Recognition. ICPR 2014: 4606-4611 - [c115]Chunyun Zhang, Weiran Xu, Sheng Gao, Jun Guo:
A bottom-up kernel of pattern learning for relation extraction. ISCSLP 2014: 609-613 - [c114]Yonggang Qi, Wei-Shi Zheng, Tao Xiang, Yi-Zhe Song, Honggang Zhang, Jun Guo:
One-Shot Learning of Sketch Categories with Co-regularized Sparse Coding. ISVC (2) 2014: 74-84 - [c113]Weitai Zhang, Weiran Xu, Guang Chen, Jun Guo:
A Feature Extraction Method Based on Word Embedding for Word Similarity Computing. NLPCC 2014: 160-167 - [c112]Yuanyuan Qi, Qinlong Wang, Chuchu Huang, Bo Tang, Weiran Xu, Guang Chen, Jun Guo:
The Information Extraction systems of BUPT_PRIS at TREC2014 Temporal Summarization Track. TREC 2014 - 2013
- [j23]Yan Li, Zhen Qin, Weiran Xu, Heng Ji, Jun Guo:
Unsupervised Sentiment-Bearing Feature Selection for Document-Level Sentiment Classification. IEICE Trans. Inf. Syst. 96-D(12): 2805-2813 (2013) - [j22]Chun-Guang Li, Zhouchen Lin, Jun Guo:
Bases sorting: Generalizing the concept of frequency for over-complete dictionaries. Neurocomputing 115: 192-200 (2013) - [j21]Honggang Zhang, Kaili Zhao, Yi-Zhe Song, Jun Guo:
Text extraction from natural scene image: A survey. Neurocomputing 122: 310-323 (2013) - [j20]Zhiyuan Guo, Qiang Wang, Gang Liu, Jun Guo:
A query by humming system based on locality sensitive hashing indexes. Signal Process. 93(8): 2229-2243 (2013) - [j19]Qun Li, Honggang Zhang, Jun Guo, Bir Bhanu, Le An:
Reference-Based Scheme Combined With K-SVD for Scene Image Categorization. IEEE Signal Process. Lett. 20(1): 67-70 (2013) - [j18]Sheng Gao, Hao Luo, Da Chen, Shantao Li, Patrick Gallinari, Zhanyu Ma, Jun Guo:
A Cross-Domain Recommendation Model for Cyber-Physical Systems. IEEE Trans. Emerg. Top. Comput. 1(2): 384-393 (2013) - [j17]Wenting Lu, Jingxuan Li, Tao Li, Weidong Guo, Honggang Zhang, Jun Guo:
Web Multimedia Object Classification Using Cross-Domain Correlation Knowledge. IEEE Trans. Multim. 15(8): 1920-1929 (2013) - [c111]Mingzhi Dong, Liang Yin, Weihong Deng, Li Shang, Jun Guo, Honggang Zhang:
A Maximum K-Min Approach for Classification. AAAI 2013: 246-252 - [c110]Jiayue Zhang, Jimmy Xiangji Huang, Jun Guo, Weiran Xu:
Promoting electronic health record search through a time-aware approach. BIBM 2013: 593-596 - [c109]Xianbiao Qi, Yu Qiao, Chun-Guang Li, Jun Guo:
Multi-scale Joint Encoding of Local Binary Patterns for Texture and Material Classification. BMVC 2013 - [c108]Xianbiao Qi, Yu Qiao, Chun-Guang Li, Jun Guo:
Exploring Cross-Channel Texture Correlation for Color Texture Classification. BMVC 2013 - [c107]Weihong Deng, Jiani Hu, Jun Guo:
In Defense of Sparsity Based Face Recognition. CVPR 2013: 399-406 - [c106]Sheng Gao, Ludovic Denoyer, Patrick Gallinari, Jun Guo:
Latent Factor BlockModel for Modelling Relational Data. ECIR 2013: 447-458 - [c105]Qiang Wang, Zhiyuan Guo, Gang Liu, Chun-Guang Li, Jun Guo:
Local alignment for query by humming. ICASSP 2013: 3711-3715 - [c104]Yonggang Qi, Jun Guo, Yi Li, Honggang Zhang, Tao Xiang, Yi-Zhe Song:
Sketching by perceptual grouping. ICIP 2013: 270-274 - [c103]Lunshao Chai, Zhen Qin, Qun Li, Honggang Zhang, Jun Guo:
Ordered histogram of shapemes: An ordered bag-of-features based shape descriptor for efficient shape matching. ICIP 2013: 2929-2933 - [c102]Qun Li, Zhen Qin, Lunshao Chai, Honggang Zhang, Jun Guo, Bir Bhanu:
Representative reference-set and betweenness centrality for scene image categorization. ICIP 2013: 3254-3258 - [c101]Lunshao Chai, Zhen Qin, Honggang Zhang, Jun Guo, Bir Bhanu:
A new multi-scale fuzzy model for Histogram-Based Descriptors. ICME Workshops 2013: 1-6 - [c100]Lunshao Chai, Zhen Qin, Honggang Zhang, Jun Guo, Bir Bhanu:
MFSC: A new shape descriptor with robustness to deformations. ICME Workshops 2013: 1-4 - [c99]Xianbiao Qi, Yi Lu, Shifeng Chen, Chun-Guang Li, Jun Guo:
Spatial co-occurrence of local intensity order for face recognition. ICME Workshops 2013: 1-6 - [c98]Sheng Gao, Hao Luo, Da Chen, Shantao Li, Patrick Gallinari, Jun Guo:
Cross-Domain Recommendation via Cluster-Level Latent Factor Model. ECML/PKDD (2) 2013: 161-176 - [c97]Yonggang Qi, Jun Guo, Yi Li, Honggang Zhang, Tao Xiang, Yi-Zhe Song, Zheng-Hua Tan:
Perceptual grouping via untangling Gestalt principles. VCIP 2013: 1-6 - [c96]Kaili Zhao, Honggang Zhang, Mingzhi Dong, Jun Guo, Yonggang Qi, Yi-Zhe Song:
A multi-label classification approach for Facial Expression Recognition. VCIP 2013: 1-6 - [c95]Sheng Gao, Shantao Li, Hao Luo, Da Chen, Yajing Xu, Jun Guo:
Friendship and affiliation co-recommendation via Collective Latent Factor BlockModel. WPMC 2013: 1-6 - [i7]Yan Li, Yichang Zhang, Doyu Li, Xin Tong, Jianlong Wang, Naiche Zuo, Ying Wang, Weiran Xu, Guang Chen, Jun Guo:
PRIS at Knowledge Base Population 2013. TAC 2013 - 2012
- [j16]Haifeng Shen, Gang Liu, Jun Guo:
Two-stage model-based feature compensation for robust speech recognition. Computing 94(1): 1-20 (2012) - [j15]Weihong Deng, Jiani Hu, Jun Guo:
Extended SRC: Undersampled Face Recognition via Intraclass Variant Dictionary. IEEE Trans. Pattern Anal. Mach. Intell. 34(9): 1864-1870 (2012) - [j14]Weihong Deng, Yebin Liu, Jiani Hu, Jun Guo:
The small sample size problem of ICA: A comparative study and analysis. Pattern Recognit. 45(12): 4438-4450 (2012) - [j13]Jun Guo, Guang Chen, Weiran Xu:
Word Activation Forces: Distinctive Statistics Revealing Word Associations. Wirel. Pers. Commun. 66(3): 511-521 (2012) - [j12]Qianfang Xu, Jun Guo, Bo Xiao:
The Study of Content Security for Mobile Internet. Wirel. Pers. Commun. 66(3): 523-539 (2012) - [c94]Xianbiao Qi, Rong Xiao, Jun Guo, Lei Zhang:
Pairwise Rotation Invariant Co-occurrence Local Binary Pattern. ECCV (6) 2012: 158-171 - [c93]Qiang Wang, Zhiyuan Guo, Gang Liu, Jun Guo:
Entropy based locality sensitive hashing. ICASSP 2012: 1045-1048 - [c92]Jingyi Guan, Si Li, Weiran Xu, Guang Chen, Jun Guo:
In-depth blog retrieval based on improved pivoted normalization weighting coefficient. ICDIP 2012: 83344G - [c91]Lunshao Chai, Zhen Qin, Honggang Zhang, Jun Guo, Christian R. Shelton:
Re-ranking using compression-based distance measure for Content-based Commercial Product Image Retrieval. ICIP 2012: 1941-1944 - [c90]Mingzhi Dong, Liang Yin, Jun Guo, Weihong Deng, Weiran Xu:
Integrative labeling based statistical color models with application to skin detection. ICIP 2012: 2369-2372 - [c89]Qun Li, Honggang Zhang, Jun Guo, Le An, Bir Bhanu:
Codebook optimization using word activation forces for scene categorization. ICIP 2012: 3129-3132 - [c88]Qiang Wang, Zhiyuan Guo, Gang Liu, Jun Guo, Yueming Lu:
Query by Humming by Using Locality Sensitive Hashing Based on Combination of Pitch and Note. ICME Workshops 2012: 302-307 - [c87]Zhiyuan Guo, Qiang Wang, Gang Liu, Jun Guo, Yueming Lu:
A Music Retrieval System Using Melody and Lyric. ICME Workshops 2012: 343-348 - [c86]Liang Yin, Mingzhi Dong, Weihong Deng, Jun Guo, Bin Zhang:
Statistical Color Model Based Adult Video Filter. ICME Workshops 2012: 349-353 - [c85]Mingzhi Dong, Liang Yin, Weihong Deng, Jun Guo, Weiran Xu:
A Computationally Efficient Algorithm for Building Statistical Color Models. ICME Workshops 2012: 402-407 - [c84]Baoxiang Li, Fengxiang Chang, Jun Guo, Gang Liu:
Speech Recognition error correction by using combinational measures. IC-NIDC 2012: 375-379 - [c83]Jiani Hu, Weihong Deng, Jun Guo:
Robust eye detection via sparse representation. IC-NIDC 2012: 411-415 - [c82]Baoxiang Li, Fengxiang Chang, Qiang Wang, Gang Liu, Jun Guo:
Robust lyric search based on weighted syllable confusion matrix. ICPR 2012: 613-616 - [c81]Mingzhi Dong, Liang Yin, Weihong Deng, Qiang Wang, Caixia Yuan, Jun Guo, Li Shang, Liwei Ma:
A Linear Max K-min classifier. ICPR 2012: 2967-2971 - [c80]Zhiyuan Guo, Qiang Wang, Liang Yin, Gang Liu, Jun Guo:
Query by humming via hierarchical filters. ICPR 2012: 3021-3024 - [c79]Qiang Wang, Zhiyuan Guo, Baoxiang Li, Gang Liu, Jun Guo:
Tempo variation based multilayer filters for query by humming. ICPR 2012: 3034-3037 - [c78]Chun-Guang Li, Xianbiao Qi, Jun Guo:
Dimensionality Reduction by Low-Rank Embedding. IScIDE 2012: 181-188 - [c77]Yan Li, Si Li, Weiran Xu, Jun Guo:
Analyzing semantic orientation of terms using Affinity Propagation. ISCSLP 2012: 30-34 - [c76]Qiang Wang, Zhiyuan Guo, Gang Liu, Jun Guo:
Boundary-expanding locality sensitive hashing. ISCSLP 2012: 358-362 - [c75]Xianbiao Qi, Rong Xiao, Lei Zhang, Chun-Guang Li, Jun Guo:
A rapid flower/leaf recognition system. ACM Multimedia 2012: 1257-1258 - [c74]Yan Li, Zhaozhao Wang, Baojin Yu, Yong Zhang, Ruiyang Luo, Weiran Xu, Guang Chen, Jun Guo:
PRIS at TREC 2012 KBA Track. TREC 2012 - [c73]Lin Qiu, JunRui Peng, Qianqian Wang, Yue Liu, Zhihua Zhou, Weiran Xu, Guang Chen, Jun Guo:
PRIS at TREC 2012 Contextual Suggestion Track. TREC 2012 - [c72]Jiayue Zhang, Sijia Chen, Yue Liu, Jie Yin, Qianqian Wang, Weiran Xu, Jun Guo:
PRIS at 2012 Microblog Track. TREC 2012 - [c71]Jiayue Zhang, Lin Lin, Shudang Diao, Yukun Li, Runnan Liu, Weiran Xu, Jun Guo:
PRIS at 2012 TREC Medical Track: Query Expansion, Retrieval and Ranking. TREC 2012 - [i6]Yan Li, Sijia Chen, Zhihua Zhou, Jie Yin, Hao Luo, Liyin Hong, Weiran Xu, Guang Chen, Jun Guo:
PRIS at TAC2012 KBP Track. TAC 2012 - 2011
- [c70]Lei Li, Wenting Lu, Jingxuan Li, Tao Li, Honggang Zhang, Jun Guo:
Exploring Interaction Between Images and Texts for Web Image Categorization. FLAIRS 2011 - [c69]Jiani Hu, Weihong Deng, Jun Guo:
2D projective transformation based active shape model for facial feature location. FSKD 2011: 2442-2446 - [c68]Wenting Lu, Lei Li, Tao Li, Honggang Zhang, Jun Guo:
Web Multimedia Object Clustering via Information Fusion. ICDAR 2011: 319-323 - [c67]Yudong Cao, Honggang Zhang, Jun Guo:
Weakly supervised locality sensitive hashing for duplicate image retrieval. ICIP 2011: 2461-2464 - [c66]Qiang Wang, Gang Liu, Zhiyuan Guo, Jun Guo, Xiaoyu Chen:
Structural fingerprint based hierarchical filtering in song identification. ICME 2011: 1-4 - [c65]Chun-Guang Li, Xianbiao Qi, Jun Guo, Bo Xiao:
An Evaluation on Different Graphs for Semi-supervised Learning. IScIDE 2011: 58-65 - [c64]Si Li, Zheng-Jun Zha, Zhaoyan Ming, Meng Wang, Tat-Seng Chua, Jun Guo, Weiran Xu:
Product comparison using comparative relations. SIGIR 2011: 1151-1152 - [c63]Yan Li, Zhenhua Zhang, Wenlong Lv, Qianlong Xie, Yuhang Lin, Rao Xu, Weiran Xu, Guang Chen, Jun Guo:
PRIS at TREC 2011 Microblog Track. TREC 2011 - [c62]Zhanyi Wang, Wenlong Lv, Heng Li, Wenyuan Zhou, Li Zhang, Xiao Mo, Liaoming Zhou, Weiran Xu, Guang Chen, Jun Guo:
PRIS at TREC 2011 Entity Track: Related Entity Finding and Entity List Completion. TREC 2011 - [c61]Jiayue Zhang, Xueneng Lin, Yang Zou, Shuai Zhu, Jing Xiao, Weiran Xu, Guang Chen, Jun Guo:
PRIS at TREC 2011 Medical Record Track. TREC 2011 - [c60]Jiayue Zhang, Wenyi Yang, Xi Wang, Lihua Wu, Yongtian Zhang, Weiran Xu, Guang Chen, Jun Guo:
PRIS at TREC 2011 Legal Track Discovery Based on Relevant Feedback. TREC 2011 - [i5]Xu Jian, Zhengzhong Liu, Qin Lu, Patty Liu, Chenchen Wang, Yan Li, Xiaoning Li, Hanying Huang, Yang Song, Cheng Chang, Liaoming Zhou, Jing Xiao, Dian Yu, Weiran Xu, Guang Chen, Jun Guo:
PolyUCOMP in TAC 2011 Entity Linking and Slot-Filling. TAC 2011 - 2010
- [j11]Wei Chen, Gang Liu, Jun Guo, Shinichiro Omachi, Masako Omachi, Yujing Guo:
Novel Confidence Feature Extraction Algorithm Based on Latent Topic Similarity. IEICE Trans. Inf. Syst. 93-D(8): 2243-2251 (2010) - [j10]Si Li, Huiji Gao, Jingyi Guan, Weiran Xu, Jun Guo:
Faceted Blog Distillation System: Find an in-Depth Blog. J. Digit. Content Technol. its Appl. 4(8): 86-91 (2010) - [j9]Honggang Zhang, Weihong Deng, Jun Guo, Jie Yang:
Locality preserving and global discriminant projection with prior information. Mach. Vis. Appl. 21(4): 577-585 (2010) - [j8]Weihong Deng, Jiani Hu, Jun Guo, Weidong Cai, David Dagan Feng:
Robust, accurate and efficient face recognition from a single training image: A uniform pursuit approach. Pattern Recognit. 43(5): 1748-1762 (2010) - [j7]Weihong Deng, Jiani Hu, Jun Guo, Weidong Cai, David Dagan Feng:
Emulating biological strategies for uncontrolled face recognition. Pattern Recognit. 43(6): 2210-2223 (2010) - [c59]Jiayue Zhang, Yichao Cai, Si Li, Weiran Xu, Jun Guo:
PRIS at Chinese Language Processing. CIPS-SIGHAN 2010 - [c58]Yudong Cao, Honggang Zhang, Yanyan Gao, Xiaojun Xu, Jun Guo:
Matching Image with Multiple Local Features. ICPR 2010: 519-522 - [c57]Chun-Guang Li, Jun Guo, Honggang Zhang:
Local Sparse Representation Based Classification. ICPR 2010: 649-652 - [c56]Si Li, Hao Zhang, Weiran Xu, Guang Chen, Jun Guo:
Exploiting Combined Multi-level Model for Document Sentiment Analysis. ICPR 2010: 4141-4144 - [c55]Xinsheng Li, Si Li, Weiran Xu, Guang Chen, Jun Guo:
Weakly supervised relevance feedback based on an improved language model. NLPKE 2010: 1-5 - [c54]Si Li, Yan Li, Jiayue Zhang, Jingyi Guan, Xueji Sun, Weiran Xu, Guang Chen, Jun Guo:
PRIS at TREC 2010 Blog Track: Faceted Blog Distillaton. TREC 2010 - [c53]Zhanyi Wang, Chunsong Tang, Xueji Sun, Haoyi Ouyang, Ru Lan, Weiran Xu, Guang Chen, Jun Guo:
PRIS at TREC 2010: Related Entity Finding Task of Entity Track. TREC 2010 - [c52]Sanyuan Gao, Si Li, Weiran Xu, Jun Guo:
Cross-Document Coreference Resolution Based on Automatic Text Summary. WKDD 2010: 306-309 - [i4]Sanyuan Gao, Yichao Cai, Si Li, Zongyu Zhang, Jingyi Guan, Yan Li, Hao Zhang, Weiran Xu, Jun Guo:
PRIS at TAC2010 KBP Track. TAC 2010
2000 – 2009
- 2009
- [j6]Haifeng Shen, Gang Liu, Jun Guo:
Mixed environment compensation based on maximum a posteriori estimation for robust speech recognition. Artif. Intell. Rev. 32(1-4): 1-11 (2009) - [j5]Chun-Guang Li, Jun Guo, Bo Xiao:
Intrinsic Dimensionality Estimation within Neighborhood Convex Hull. Int. J. Pattern Recognit. Artif. Intell. 23(1): 31-44 (2009) - [j4]Gang Liu, Wei Chen, Jun Guo:
A Research on Mixture Splitting for CHMM Based on DBC. J. Comput. 4(11): 1167-1174 (2009) - [j3]Jiani Hu, Weihong Deng, Jun Guo, Weiran Xu:
Learning a locality discriminating projection for classification. Knowl. Based Syst. 22(8): 562-568 (2009) - [c51]Chun-Guang Li, Jun Guo, Honggang Zhang:
Learning Bundle Manifold by Double Neighborhood Graphs. ACCV (3) 2009: 321-330 - [c50]Wenting Lu, Honggang Zhang, Kunyan Lan, Jun Guo:
Detection of Vehicle Manufacture Logos Using Contextual Information. ACCV (2) 2009: 546-555 - [c49]Weiran Xu, Dong-xin Liu, Jun Guo, Yichao Cai, Rile Hu:
Supervised Dual-PLSA for Personalized SMS Filtering. AIRS 2009: 254-264 - [c48]Ye Wang, Honggang Zhang, Xu Fang, Jun Guo:
Low-Resolution Chinese Character Recognition of Vehicle License Plate Based on ALBP and Gabor Filters. ICAPR 2009: 302-305 - [c47]Honggang Zhang, Jun Guo, Guang Chen, Chun-Guang Li:
HCL2000 - A Large-scale Handwritten Chinese Character Database for Handwritten Character Recognition. ICDAR 2009: 286-290 - [c46]Jiani Hu, Weihong Deng, Jun Guo:
Semi-supervised Learning Based on Label Propagation through Submanifold. ISNN (1) 2009: 617-623 - [c45]Hui He, Bo Chen, Jun Guo:
Emotion Recognition of Pop Music Based on Maximum Entropy with Priors. PAKDD 2009: 788-795 - [c44]Si Li, Huiji Gao, Hao Sun, Fei Chen, Oupeng Feng, Sanyuan Gao, Hao Zhang, Xinsheng Li, Caili Tan, Weiran Xu, Guang Chen, Jun Guo:
A Study of Faceted Blog Distillation--PRIS at TREC 2009 Blog Track. TREC 2009 - [c43]Si Li, Xinsheng Li, Hao Zhang, Sanyuan Gao, Guang Chen, Jun Guo:
PRIS at 2009 Relevance Feedback Track: Experiments in Language Model for Relevance Feedback. TREC 2009 - [c42]Zhanyi Wang, Dong-xin Liu, Weiran Xu, Guang Chen, Jun Guo:
BUPT at TREC 2009: Entity Track. TREC 2009 - [i3]Si Li, Sanyuan Gao, Zongyu Zhang, Xinsheng Li, Jingyi Guan, Weiran Xu, Jun Guo:
PRIS at TAC 2009: Experiments in KBP Track. TAC 2009 - [i2]Pu Yang, Jun Guo, Weiran Xu:
PrisCrawler: A Relevance Based Crawler for Automated Data Classification from Bulletin Board. CoRR abs/0909.2489 (2009) - [i1]Pu Yang, Jun Guo, Guang Chen:
Pavideoge: A New Video Processing Method in Video Search Engine. CoRR abs/0909.2496 (2009) - 2008
- [j2]Weihong Deng, Jiani Hu, Jun Guo, Honggang Zhang, Chuang Zhang:
Comments on "Globally Maximizing, Locally Minimizing: Unsupervised Discriminant Projection with Application to Face and Palm Biometrics". IEEE Trans. Pattern Anal. Mach. Intell. 30(8): 1503-1504 (2008) - [c41]Zhao Ru, Jun Guo, Weiran Xu:
Improving Expertise Recommender Systems by Odds Ratio. AIRS 2008: 1-9 - [c40]Yahui Wu, Gang Liu, Jun Guo:
A New Method for Discriminative Model Combination in Speech Recognition. CIS (1) 2008: 200-203 - [c39]Honggang Zhang, Jie Yang, Weihong Deng, Jun Guo:
Handwritten Chinese character recognition using Local Discriminant Projection with Prior Information. ICPR 2008: 1-4 - [c38]Honggang Zhang, Lorant Toth, Weihong Deng, Jun Guo, Jie Yang:
Monitoring visual focus of attention via local discriminant projection. Multimedia Information Retrieval 2008: 18-23 - [c37]Wei Chen, Gang Liu, Jun Guo:
A confusion network based confidence measure for active learning in speech recognition. NLPKE 2008: 1-6 - [c36]Yahui Wu, Gang Liu, Jun Guo:
A new method for model selection in speech recognition. NLPKE 2008: 1-4 - [c35]Hui He, Bo Chen, Lei Du, Si Li, Huiji Gao, Weiran Xu, Jun Guo:
PRIS in TREC 2008 Blog Track. TREC 2008 - 2007
- [c34]Jiani Hu, Weihong Deng, Jun Guo:
A Clustering Algorithm Based on Adaptive Subcluster Merging. Canadian AI 2007: 241-249 - [c33]Chun-Guang Li, Jun Guo, Xiangfei Nie:
Intrinsic Dimensionality Estimation with Neighborhood Convex Hull. CIS 2007: 75-79 - [c32]Chun-Guang Li, Jun Guo, Honggang Zhang:
Pruning Neighborhood Graph for Geodesic Distance Based Semi-Supervised Classification. CIS 2007: 428-432 - [c31]Jiani Hu, Weihong Deng, Jun Guo, Weiran Xu:
Learning Locality Discriminating Indexing for Text Categorization. FSKD (3) 2007: 239-242 - [c30]Weihong Deng, Jiani Hu, Jun Guo, Honggang Zhang:
Robust Discriminant Analysis of Gabor Feature for Face Recognition. FSKD (3) 2007: 248-252 - [c29]Zhao Ru, Weiran Xu, Jun Guo:
An Expert Experience Probabilistic Model for Enterprise Expert Finding. FSKD (1) 2007: 477-481 - [c28]Chengli Sun, Gang Liu, Jun Guo:
A Study of Neighborhood Competing Models Based Verification Method. ICNC (2) 2007: 207-210 - [c27]Bin Wu, Gang Liu, Jun Guo:
Research on Confusion Network Algorithm Based on Minimum Bayes Risk Decision Rule. ICNC (3) 2007: 593-598 - [c26]Jiani Hu, Weihong Deng, Jun Guo, Weiran Xu:
Locality discriminating indexing for document classification. SIGIR 2007: 689-690 - [c25]Hui He, Bo Chen, Weiran Xu, Jun Guo:
Short Text Feature Extraction and Clustering for Web Topic Mining. SKG 2007: 382-385 - 2006
- [j1]Haifeng Shen, Qunxia Li, Jun Guo, Gang Liu:
Model-Based Feature Compensation for Robust Speech Recognition. Fundam. Informaticae 72(4): 529-539 (2006) - [c24]Jian Wang, Jun Guo, Gang Liu, Jianjun Lei:
UBM Based Speaker Selection and Model Re-Estimation for Speaker Adaptation. IEEE ICCI 2006: 856-860 - [c23]Bo Chen, Weiran Xu, Tao Peng, Jun Guo:
POC-NLW Template for Chinese Word Segmentation. SIGHAN@COLING/ACL 2006: 177-180 - [c22]Jiani Hu, Weihong Deng, Jun Guo:
Robust Discriminant Analysis of Latent Semantic Feature for Text Categorization. FSKD 2006: 400-409 - [c21]Chengyu Dong, Yuan Dong, Dezhi Huang, Jun Guo, Haila Wang:
A Boosting Approach for Utterance Verification. ICIC (2) 2006: 1170-1176 - [c20]Chun-Guang Li, Jun Guo:
Supervised Isomap with Explicit Mapping. ICICIC (3) 2006: 345-348 - [c19]Weihong Deng, Jiani Hu, Jun Guo:
Gabor Feature Based Classification Using LDA/QZ Algorithm for Face Recognition. ICNC (1) 2006: 15-24 - [c18]Weihong Deng, Jiani Hu, Jun Guo:
Robust Fisher Linear Discriminant Model for Dimensionality Reduction. ICPR (2) 2006: 699-702 - [c17]Jiani Hu, Weihong Deng, Jun Guo:
Improving Retrieval Performance by Global Analysis. ICPR (2) 2006: 703-706 - [c16]Jianjun Lei, Jian Wang, Jun Guo, Gang Liu, Haifeng Shen:
Combining Log-Spectral Domain Compensation with MVA Feature Post-Processing for Robust Speech Recognition. IIH-MSP 2006: 663-668 - [c15]Xiaoliang Yuan, Yuan Dong, Dezhi Huang, Jun Guo, Haila Wang:
Decision Tree Classification Approach for Model Selection in Segmenting Mandarin TTS Corpus. ISCSLP 2006 - [c14]Zhen Yang, Xiangfei Nie, Weiran Xu, Jun Guo:
An Approach to Spam Detection by Naive Bayes Ensemble Based on Decision Induction. ISDA (2) 2006: 861-866 - [c13]Zhen Yang, Jun Guo, Weiran Xu, Xiangfei Nie, Jian Wang, Jianjun Lei:
Multi-scale Support Vector Machine for Regression Estimation. ISNN (1) 2006: 1030-1037 - [c12]Zhao Ru, Quian Li, Weiran Xu, Jun Guo:
BUPT at TREC 2006: Enterprise Track. TREC 2006 - [c11]Zhen Yang, Wei Xu, Bo Chen, Weiran Xu, Jun Guo:
BUPT at TREC 2006: Spam Track. TREC 2006 - 2005
- [c10]Weihong Deng, Jiani Hu, Jun Guo:
Gabor-Eigen-Whiten-Cosine: A Robust Scheme for Face Recognition. AMFG 2005: 336-349 - [c9]Haifeng Shen, Qunxia Li, Jun Guo, Gang Liu:
HMM Parameter Adaptation Using the Truncated First-Order VTS and EM Algorithm for Robust Speech Recognition. CIS (1) 2005: 979-984 - [c8]Long Yan, Gang Liu, Jun Guo:
A Study on Robustness of Large Vocabulary Mandarin Chinese Continuous Speech Recognition System Based on Wavelet Analysis. ICAPR (1) 2005: 497-504 - [c7]Guang Chen, Honggang Zhang, Jun Guo:
Feature Extraction for Handwritten Chinese Character by Weighted Dynamic Mesh Based on Nonlinear Normalization. ICAPR (1) 2005: 560-568 - [c6]Weihong Deng, Jiani Hu, Jun Guo:
Robust Face Recognition from One Training Sample per Person. ICNC (1) 2005: 915-924 - [c5]Haifeng Shen, Gang Liu, Jun Guo, Qunxia Li:
Two-Domain Feature Compensation for Robust Speech Recognition. ISNN (2) 2005: 351-356 - [c4]Haifeng Shen, Jun Guo, Gang Liu, Pingmu Huang, Qunxia Li:
Environment Compensation Based on Maximum a Posteriori Estimation for Improved Speech Recognition. MICAI 2005: 854-862 - [c3]Haifeng Shen, Jun Guo, Gang Liu, Qunxia Li:
Non-stationary Environment Compensation Using Sequential EM Algorithm for Robust Speech Recognition. PKDD 2005: 264-273 - [c2]Zhao Ru, Yuehua Chen, Weiran Xu, Jun Guo:
TREC 2005 Enterprise Track Experiments at BUPT. TREC 2005 - [c1]Zhen Yang, Weiran Xu, Bo Chen, Jiani Hu, Jun Guo:
PRIS Kidult Anti-SPAM Solution at the TREC 2005 Spam Track: Improving the Performance of Naive Bayes for Spam Detection. TREC 2005
Coauthor Index
[j125] [j123] [j122] [j120] [j119] [c199] [c198] [c197] [c196] [i59] [i58] [i57] [i56] [j117] [j114] [j113] [c195] [c194] [c193] [c192] [c188] [i54] [i53] [j110] [j106] [j105] [j104] [j103] [j102] [j97] [c187] [c186] [c183] [c182] [i51] [i50] [j95] [j94] [j93] [j92] [j91] [c180] [c177] [c175] [c173] [i49] [i48] [i47] [i46] [i42] [i41] [j89] [j83] [j82] [j81] [j80] [c168] [c165] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i29] [i28] [i27] [i26] [j77] [j74] [j73] [j72] [c161] [i25] [j70] [j68] [j67] [j64] [j63] [j60] [c157] [c155] [c151] [i19] [i17] [i16] [i15] [j58] [j52] [c150] [c145] [i14] [i13] [i12] [i11] [i10] [j47] [j45] [j42] [c142] [c140] [c139] [c138] [j37] [j36] [j34] [j33] [j31] [j30] [c131] [c129] [c128] [j24] [c124] [c121] [j18]
[j109] [j96] [c179] [i43] [j87] [j85] [c171] [c170] [c164] [c158] [i21] [j54] [j53] [c147] [c144] [j44] [j43] [c143] [j34] [j33] [j32] [c128] [i9] [c123] [c117] [c115] [c113] [c112] [j23] [c110] [i7] [j13] [c92] [c90] [c85] [c77] [c74] [c73] [c72] [c71] [i6] [c64] [c63] [c62] [c61] [c60] [i5] [j10] [c59] [c56] [c55] [c54] [c53] [c52] [i4] [j3] [c49] [c44] [c42] [i3] [i2] [c41] [c35] [c31] [c29] [c26] [c25] [c23] [c14] [c13] [c12] [c11] [c2] [c1]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-05-14 22:13 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
