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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)
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2020 – today
- 2023
[j116]Lanfei Wang, Lingxi Xie, Kaili Zhao, Jun Guo, Qi Tian:
Regularized Differentiable Architecture Search. IEEE Embed. Syst. Lett. 15(3): 129-132 (2023)- [j115]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) - [j114]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) - [j113]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) - [j112]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) - [c182]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 - [i53]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) - 2022
- [j111]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) - [j110]Lanfei Wang, Lingxi Xie, Kaili Zhao, Jun Guo, Qi Tian:
Scalable NAS with factorizable architectural parameters. Neurocomputing 506: 25-36 (2022) - [j109]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) - [j108]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) - [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) - [c181]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 - [c180]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 - [c179]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 - [c178]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 - [c177]Zijin Yin, Kongming Liang, Zhanyu Ma, Jun Guo:
Duplex Contextual Relation Network For Polyp Segmentation. ISBI 2022: 1-5 - [c176]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) - [c175]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 - [c174]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 - [c173]Lulu Zhao, Weihao Zeng, Weiran Xu, Jun Guo:
Give the Truth: Incorporate Semantic Slot into Abstractive Dialogue Summarization. EMNLP (Findings) 2021: 2435-2446 - [c172]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 - [c171]Siqing Zhang, Ruoyi Du, Dongliang Chang, Zhanyu Ma, Jun Guo:
Knowledge Transfer Based Fine-Grained Visual Classification. ICME 2021: 1-6 - [c170]Jingxuan Yang, Si Li, Jun Guo:
Multi-Turn Target-Guided Topic Prediction with Monte Carlo Tree Search. ICON 2021: 324-334 - [c169]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 - [c168]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 - [c167]Tian Zhang, Dongliang Chang, Zhanyu Ma, Jun Guo:
Progressive Co-Attention Network for Fine-Grained Visual Classification. VCIP 2021: 1-5 - [c166]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) - [c165]Yuanyuan Qi, Jiayue Zhang, Yansong Liu, Weiran Xu, Jun Guo:
CGTR: Convolution Graph Topology Representation for Document Ranking. CIKM 2020: 2173-2176 - [c164]Lulu Zhao, Weiran Xu, Jun Guo:
Improving Abstractive Dialogue Summarization with Graph Structures and Topic Words. COLING 2020: 437-449 - [c163]Xiaolin Song, Kaili Zhao, Wen-Sheng Chu, Honggang Zhang, Jun Guo:
Progressive Refinement Network for Occluded Pedestrian Detection. ECCV (23) 2020: 32-48 - [c162]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 - [c161]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 - [c160]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 - [c159]Junhui Yin, Siqing Zhang, Dongliang Chang, Zhanyu Ma, Jun Guo:
Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization. ICPR 2020: 4229-4236 - [c158]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) - [c157]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 - [c156]Lanfei Wang, Jun Guo:
Cascaded Algorithm Representation for Purifying Face Dataset with Labeled Noise. CyberC 2019: 139-142 - [c155]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 - [c154]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 - [c153]Yadi Lao, Jun Xu, Sheng Gao, Jun Guo, Ji-Rong Wen:
Name Entity Recognition with Policy-Value Networks. SIGIR 2019: 1245-1248 - [c152]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]