DBLP: https://dblp.uni-trier.de/pers/hd/p/Pang:Junbiao

ORCID:https://orcid.org/0000-0001-8153-7229

Basic information：

Ø Ph.D. of Applied Computer Technology, Institute of Computing Technology, Chinese Academy of Sciences.

Ø Associate professor, Master Student supervisor, Doctoral student supervisor, Beijing University of Technology.

Ø Researcher of Beijing Key Laboratory of Multimedia and Intelligent Software Technology.

Ø Member of China Computer Federation (CCF).

Ø Member of the Institute of Electrical and Electronics Engineers (IEEE).

Research synopsis：

Ø Multimedia Technology, Computer Vision, Machine Learning, Deep Learning.

Ø Traffic Big Data, Intelligent Traffic, Data-driven Traffic Planning.

Funding:

Ø General project of National Natural Science Foundation of China, 61472387, pay attention to the analysis and recognition of human movement guided by selection.

Ø Key project of National Natural Science Foundation of China, 61332016, Semantic Collaboration and Mining of Cross-Platform Heterogeneous Media Oriented to Network Events.

Ø National Natural Science Foundation of China, 61672069, prediction of bus arrival time in cities based on heterogeneous data.

Ø Beijing Natural Science Foundation General Project, 4132010, Research On Object Detection Methods For Changing Posture And Hiding Problems In Real Environment.

Ø National natural science foundation of China (youth foundation project), 61202234, Research on The Applicability of Object Detection Based on Active Learning under Weak Labeling.

Ø General project of National Natural Science Foundation of China, 61872333, Video Motion Detection under Weak Supervision.

Ø A number of enterprises and institutions horizontal projects.

Teaching：

Ø Pattern Recognition;

Ø Machine Learning;

Ø Design Pattern;

Ø Python

Publications:

[1] Junbiao Pang ; Jing Huang ; Yong Du ; Haitao Yu ; Qingming Huang ; Baocai Yin：Learning to Predict Bus Arrival Time From Heterogeneous Measurements via Recurrent Neural Network, IEEE Transactions on Intelligent Transportation Systems (SCI, JCR Q1) ( Early Access )

[2] Junbiao Pang ; Anjing Hu ; Qingming Huang ; Qi Tian ; Baocai Yin: Increasing Interpretation of Web Topic Detection via Prototype Learning From Sparse Poisson Deconvolution, IEEE Transactions on Cybernetics (SCI, JCR Q1) ( Early Access )

[3] Junbiao Pang ; Fei Tao ; Qingming Huang ; Qi Tian ; Baocai Yin: Two Birds With One Stone: A Coupled Poisson Deconvolution for Detecting and Describing Topics From Multimodal Web Data, IEEE Transactions on Neural Networks and Learning Systems(SCI, JCR Q1) ( Early Access )

[4] Jinzhong Lin, Junbiao Pang, Li Su, Yugui Liu, Qingming Huang:Accelerating Topic Detection on Web for a Large-Scale Data Set via Stochastic Poisson Deconvolution. MMM (1) 2019: 590-602

[5] Junbiao Pang, Fei Tao, Liang Li, Qingming Huang, Baocai Yin, Qi Tian: A Two-step Approach to Describing Web Topics via Probable Keywords and Prototype Images From Background-removed Similarities. Neurocomputing 275: 478-487 (2018) (SCI, JCR Q2)

[6] Junbiao Pang, Jing Huang, Xue Yang, Zuyun Wang, Haitao Yu, Qingming Huang, Baocai Yin: Discovering Fine-Grained Spatial Pattern from Taxi Trips: Where Point Process Meets Matrix Decomposition and Factorization. IEEE Trans. Intelligent Transportation Systems 19(10): 3208-3219 (2018) (SCI, JCR Q1)

[7] Junbiao Pang, Jing Huang, Lei Qin, Weigang Zhang, Laiyun Qing, Qingming Huang, Baocai Yin: Rotative Maximal Pattern: A Local Coloring Descriptor for Object Classification and Recognition. Inf. Sci. 405: 190-206 (2017) (SCI, JCR Q1)

[8] Junbiao Pang, Jing Huang, Weigang Zhang, Qingming Huang, Baocai Yin:Justify role of Similarity Diffusion Process in Cross-media Topic Ranking: An Empirical Evaluation. Multimedia Tools Appl. 76(23): 25145-25157 (2017) (SCI, JCR Q3)

[9] Junbiao Pang, Fei Tao, Chunjie Zhang, Weigang Zhang, Qingming Huang, Baocai Yin:Robust Latent Poisson Deconvolution From Multiple Features for Web Topic Detection. IEEE Trans. Multimedia 18(12): 2482-2493 (2016) (SCI, JCR Q1)

[10] Junbiao Pang, Huihuang Lin, Li Su, Chunjie Zhang, Weigang Zhang, Lijuan Duan, Qingming Huang, Baocai Yin: Accelerate Convolutional Neural Networks for Binary Classification via Cascading Cost-sensitive Feature. ICIP 2016: 1037-1041 (CCF B)

[11]Junbiao Pang, Chunjie Zhang, Lei Qin, Weigang Zhang, Laiyun Qing, Qingming Huang, Baocai Yin: Online Dictionary Learning for Local Coordinate Coding with Locality Coding Adaptors. Neurocomputing 157: 61-69 (2015) (SCI, JCR Q2)

[12] Junbiao Pang, Lei Qin, Chunjie Zhang, Weigang Zhang, Qingming Huang, Baocai Yin:Local Laplacian Coding From Theoretical Analysis of Local Coding Schemes for Locally Linear Classification. IEEE Trans. Cybernetics 45(12): 2937-2947 (2015) (SCI, JCR Q1)

[13] Chunjie Zhang, Jian Cheng, Jing Liu, Junbiao Pang, Qingming Huang, Qi Tian:Beyond Explicit Codebook Generation: Visual Representation Using Implicitly Transferred Codebooks. IEEE Trans. Image Processing 24(12): 5777-5788 (2015) (SCI, JCR Q1)

[14] Junbiao Pang, Fei Jia, Chunjie Zhang, Weigang Zhang, Qingming Huang, Baocai Yin:Unsupervised Web Topic Detection Using A Ranked Clustering-Like Pattern Across Similarity Cascades. IEEE Trans. Multimedia 17(6): 843-853 (2015) (SCI, JCR Q1)

[15] Junbiao Pang, Qingming Huang, Baocai Yin, Lei Qin, Dan Wang: Theoretical Analysis of Learning Local Anchors for Classification. ICPR 2012: 1803-1806 (CCF B)

[16] Qingyuan Wang, Junbiao Pang, Guoyi Liu, Lei Qin, Qingming Huang, Shuqiang Jiang:Color Maximal-Dissimilarity Pattern for Pedestrian Detection. ICPR 2012: 1952-1955 (CCF B)

[17] Junbiao Pang, Qingming Huang, Shuicheng Yan, Shuqiang Jiang, Lei Qin: Transferring Boosted Detectors Towards Viewpoint and Scene Adaptiveness. IEEE Trans. Image Processing 20(5): 1388-1400 (2011) (SCI, JCR Q1)

[18] Junbiao Pang, Qingming Huang, Shuqiang Jiang: Multiple Instance Boost Using Graph Embedding Based Decision Stump for Pedestrian Detection. ECCV (4) 2008: 541-552