王橋

職稱：教授、博導

辦公室：南京市江甯區秣周東路9号中國無線谷A5座5302室

辦公電話：

Email：qiaowang@seu.edu.cn

學習經曆：

  1994.9---1997.6，武漢大學數學系，博士研究生 

  1991.9---1994.6，武漢大學數學系，碩士研究生

  1984.9---1988.6，武漢大學數學系，本科生

工作經曆:

 2001/4 - 至今，教授 

 1999/4 - 2001/4，副教授 

 1997/6 – 1999/6，博士後 

教授課程：

B004105 現代信息論 （秋季，博士生課程）
S004106   數字圖像與視頻處理 （春季，碩士生課程）
B0423090信息與随機性（秋季，本科生課程）
B0423071計算機視覺基礎（春季，本科生課程，主講：陸建博士，王橋）

研究方向：

主要關注數學的各類應用，包括數據科學、視覺智能、圖像分析等及其在城市規劃、城市設計、城市信息分析、心身醫學及傳染病、流行病數據分析、智能交通、音樂信息檢索等領域的應用。

論文著作：

近幾年主要論文

城市計算與城市規劃：

1.Zhicheng Liu, Jun  Cao, RenjieXie, Junyan Yang and Qiao Wang,  Modeling Submarket Effect for Real Estate Hedonic Valuation: A  Probabilistic Approach, IEEE   Transactions on Knowledge and Data  Engineering, doi: 10.1109/TKDE.2020.3010548.

2.Jun Cao, Junkai  Zhu, Qingyao Zhang, Ke  Wang, Junyan Yang, and Qiao  Wang, Modeling urban intersection form: Measurements, patterns, and  distributions, Frontiers of Architectural Research,  Available online 4 December 2020

3.Zhicheng Liu, Fabio Miranda, WeitingXiong, Junyan Yang, Qiao Wang and Claudio Silva, “Learning geo-contextual  embeddings for commuting flow prediction”, Proceedings of the  AAAI Conference on Artificial Intelligence. 2020, 34(01): 808-816.

4.Qinghe Liu, Zhicheng Liu, Yinfei Xu, WeitingXiong, Junyan Yang, and Qiao Wang, Finding Urban Community Structure Using  Public Services Distribution Information, 2020 IEEE International Conference  on Big Data (Big Data)

5.Zhicheng Liu, Shuai Yan, Jun Cao, TanhuaJin, Jiabo Tang, Junyan Yang, and Qiao Wang, “A  Bayesian Approach to Residential Property Valuation Based on Built  Environment and House Characteristics”, 2018 IEEE International Conference on Big  Data (Big Data), 1455-1464

6.Zhicheng Liu, Jun Cao, Junyan Yang and Qiao Wang, Discovering dynamic patterns of urban  space via semi-nonnegative matrix factorization, 2017 IEEE International Conference on Big Data (Big Data), Boston, MA, 2017, pp. 3447-3453, doi: 10.1109/BigData.2017.8258332.

7.Ning Wang, Xianhan  Zeng, RenjieXie, Zefei Gao, Yi Zheng, Ziran Liao,   Junyan Yang, and Qiao  Wang, “Unsupervised classification of street architectures based on InfoGAN”, 10th International Conference on Pattern  Recognition Systems (ICPRS-2019), 2019, Tours, France

8.Yuhao Zhang, Xianhan Zeng, Zhicheng Liu, Yuming Qian, Junyan Yang, and Qiao Wang, Identifying  Land Use Functions Based on POIs and Buildings Data, First  International Conference on Advances in Signal Processing and Artificial Intelligence  (ASPAI' 2019), Barcelona, Spain

9.Xianhan Zeng, Ning Wang, Zefei Gao, Zhicheng Liu, Junyan Yang, and Qiao Wang，Vitality Evaluation System for Street Architectures Based on  Mobile OD Data, 9th International Conference on Imaging for Crime Detection and  Prevention(ICDP-2019), 2019 p. 4 (19 – 25)

10.Jiabo Tang, Zhicheng  Liu, Yuancheng Wang, Junyan  Yang and Qiao Wang, Using Geographic  Information and Point of Interest to Estimate Missing Second-Hand Housing  Price of Residential Area in Urban Space, 2018 IEEE International Smart Cities  Conference (ISC2), Kansas City, MO, USA, 2018, pp. 1-8, doi: 10.1109/ISC2.2018.8656965.

11.Yumin Qian, Zhicheng  Liu, Junyan Yang and Qiao  Wang, “A Method of Exchanging Data in Smart City by Blockchain”, IEEE  Smart City, 2018

腦科學、醫學與生命科學數據分析：

1.  Dandan Qian, Wei Li, Jinwen Xue, Yi Wu, Ziling Wang, Tao Shi, Songting Li, Jingxuan Yang, Shi Qiu, Shaoli Wang, Yousheng Shu, Liang Chen, Qiao Wang, Ti-Fei Yuan, Douglas Zhou, Wei Lu, A striatal SOM-driven ChAT-iMSN loop generates beta oscillations and produces motor deficits, Cell Reports, Vol.4(3), 2022, 111111

2.   Tao Sheng, Danqin Xing, Yi Wu, Qiao Wang, Xiangyao Li, Wei Lu, Journal of Neuroscience Methods, Vol.361, 2021, 109286

3.  Rui Liu ,Yingying Yue, Zhenghua  Hou, YongguiYuanb and Qiao Wang, Risk factors associated with cognitions for  late-onset depression based on anterior and posterior default mode  sub-networks, Journal of Affective Disorders, Vol.235, pp.544-550, 2018

4.  Rundong Wang, YuanchengWang,   Yuhao Zhang and Qiao  Wang, 3D Multi-Scale Convolution Nets for Pulmonary Nodule Detection,  IET  International Conference on Pattern Recognition Systems (ICPRS-2018),  2018.

5.  Rui Liu, Yingying  Yue, Haitang Jiang, Jian Lu, Aiqin  Wu, DeqinGeng, Jun Wang,   Jianxin Lu, Shenghua Li,  Hua Tang, Xuesong Lu, Kezhong  Zhang, Tian Liu, Yonggui Yuan and Qiao Wang, A Risk Prediction Model for Post-Stroke  Depression in Chinese Stroke Survivors Based on Clinical and  Socio-Psychological Features, April, Oncotarget,  Vol.8(38), pp.62891-62899, 2017.

6.  Jian LU, Wendong  LIU, Rui XIA, Qigang DAI, Changjun  BAO, FenyangTANG,Yefei  ZHU and Qiao WANG，Effects of closing and  reopening live poultry markets on the epidemic of human infection with avian  influenza A virus， The Journal of Biomedical Research, 2016, 30(2):112–119

7.Yingying Yue, Rui Liu, Jian Lu, Xiaojing  Wang, Shining Zhang, Aiqin Wu, Qiao  Wang, Yonggui Yuan, Reliability and validity of A  new post-stroke depression scale in Chinese population, Journal of Affective Disorders,  Vol.174，pp. 317-323, 2015  

信息論、信号處理與計算機視覺及其應用：

1.Jian Lu, Yinfei  Xu, Ping Zhang, Qiao Wang, On Secure  One-Helper Source Coding With Action-Dependent Side  Information, IEEE Transactions on InformationTheory, vol. 67(1), pp. 95-110, Jan.  2021, doi: 10.1109/TIT.2020.30261.

2.Yinfei Xu, Jun Chen and QiaoWang,  The Sum Rate of Vector Gaussian Multiple  Description Coding with Tree-Structured Covariance Distortion Constraints,   IEEE Transactions on Information Theory,  Vol.63(10), pp:6547-6560, 2017

3.Yinfei Xu and Qiao Wang, Rate Region of  the Vector Gaussian CEO Problem with the Trace Distortion Constraint，IEEE Transactions on Information Theory，Vol.62(4),  pp.1823-1835, 2016

4.Yinfei Xu and Qiao Wang,  Asymptotical Optimality of Change Point Detection With  Unknown Discrete Post-Change Distributions, inIEEE  Signal Processing Letters, vol. 27, pp. 695-699, 2020, doi:  10.1109/LSP.2020.2983312.

5.Jian Lu, Yinfei  Xu, Ping Zhang, Qiao Wang, Secure Multiterminal Source Coding With  Actions, 2019 IEEE International Symposium on Information Theory (ISIT-2019),  Paris, France, Proceedings pp. 2174-2178.

6.RenjieXie, Yuancheng  Wang, Tian Xie, Yuhao  Zhang, Li Xu, Jian Lu, Qiao Wang，Adversarial  Training for Video Disentangled Representation, International Conference on  Multimedia Modeling (MMM'2019), pp.532-543

7.Dorian Cazau,   Yuancheng Wang, Olivier Adam, Qiao  Wang, and Gregory Nuel, Improving Note Segmentation  in Automatic Piano Music Transcription Systems with a Two-State Pitch-Wise  HMM Method, the 18th International Society of Music Information Retrieval Conference,  2017. 

8.Ping ZHANG, Jian LU and Qiao WANG, Performance Bounds for Relative Configuration  and Global Transformation in Cooperative Localization，ICT Express，Vol.2(1), 14-18, 2016

9.Xiaoyu Ding, Wen-Sheng Chu, Fernando De la Torre, Jeffery F. Cohn, Qiao Wang，Cascade of Tasks for Facial Expression Analysis，Image and Vision Computing,Vol.51, July, 36-48, 2016

教材

王橋，數字圖像處理，北京：科學出版社，2009.（中國科學院電子信息與通信系列規劃教材）

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