王桥

职称：教授、博导

办公室：南京市江宁区秣周东路9号中国无线谷A5座5302室

办公电话：

Email：qiaowang@seu.edu.cn

学习经历：

  1994.9---1997.6，武汉大学数学系，博士研究生 

  1991.9---1994.6，武汉大学数学系，硕士研究生

  1984.9---1988.6，武汉大学数学系，本科生

工作经历:

 2001/4 - 至今，教授 

 1999/4 - 2001/4，副教授 

 1997/6 – 1999/6，博士后 

教授课程：

B004105 现代信息论 （秋季，博士生课程）
S004106   数字图像与视频处理 （春季，硕士生课程）
B0423090信息与随机性（秋季，本科生课程）
B0423071计算机视觉基础（春季，本科生课程，主讲：陆建博士，王桥）

研究方向：

主要关注数学的各类应用，包括数据科学、视觉智能、图像分析等及其在城市规划、城市设计、城市信息分析、心身医学及传染病、流行病数据分析、智能交通、音乐信息检索等领域的应用。

论文著作：

近几年主要论文

城市计算与城市规划：

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

脑科学、医学与生命科学数据分析：

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  

信息论、信号处理与计算机视觉及其应用：

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

王桥，数字图像处理，北京：科学出版社，2009.（中国科学院电子信息与通信系列规划教材）

主要获奖 

2020年华夏建设科学技术奖一等奖：城市设计数字化平台关键技术研究与应用

2021年教育部科技进步奖二等奖：心身疾病的规范化诊治和发病机制研究

2019年国际建成环境学会杰出设计奖：常州高铁站区域城市设计

2020年中国地理信息产业协会地理信息科技进步奖一等奖：智能化规划传导管控的关键技术与应用平台

2020年中国测绘学会测绘科技进步奖二等奖：面向城市规划智能决策的三维交互可视化理论、技术与应用

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