王宏健

男、副教授

個人簡介：

2016年獲得法國貝爾福-蒙貝利亞技術(shù)大學(xué)計算機科學(xué)專業(yè)博士學(xué)位，此后先后于法國勃艮第大學(xué)和德國海德堡大學(xué)從事博士后研究工作。

主要研究方向：優(yōu)化算法、超聲CT、三值計算機

講授課程：《多媒體技術(shù)》、《數(shù)據(jù)庫應(yīng)用課程設(shè)計》、《數(shù)據(jù)科學(xué)技術(shù)與應(yīng)用》

主要論文研究成果：

期刊

1) Hongjian WANG, Abdelkhalek MANSOURI and Jean-Charles CREPUT. Cellular matrix model for parallel combinatorial optimization algorithms in Euclidean plane. Applied Soft Computing, vol.61, pp.642-660, 2017 (SCI檢索，影響因子4.873).

2) Hongjian WANG, Naiyu ZHANG and Jean-Charles CREPUT. A massively parallel neural network approach to large-scale Euclidean traveling salesman problems. Neurocomputing, vol.240, pp.137-151, 2017 (SCI檢索，影響因子4.072，CCF推薦C類).

3) Hongjian WANG, Naiyu ZHANG, Jean-Charles CREPUT, Yassine RUICHEK and Julien MOREAU. Massively parallel GPU computing for fast stereo correspondence algorithms. Journal of Systems Architecture, vol.65, pp.46-58, 2016 (SCI檢索，影響因子1.159，CCF推薦B類).

4) Hongjian WANG, Naiyu ZHANG, Jean-Charles CREPUT, Julien MOREAU and Yassine RUICHEK. Parallel structured mesh generation with disparity maps by GPU implementation. IEEE Transactions on Visualization and Computer Graphics, vol.21, no.9, pp.1045-1057, 2015 (SCI檢索，影響因子3.780，CCF推薦A類).

5)王宏健,金翊,歐陽山.一位可重構(gòu)三值光學(xué)處理器的設(shè)計和實現(xiàn).《計算機學(xué)報》, vol.37, no.7, pp.1500-1507, 2014 (EI檢索).

6) Hongjian WANG and Kai SONG. Simulative method for the optical processor reconfiguration on a dynamically reconfigurable optical platform. Applied Optics, vol.51, no.2, pp.167-175, 2012 (SCI檢索，影響因子1.973).

7)宋凱,金翊,歐陽山,王宏健.雙旋光器結(jié)構(gòu)的可重構(gòu)三值光學(xué)處理器.《光學(xué)精密工程》, vol.20, no.9, pp.1890-1898, 2012 (EI檢索).

8)金翊,王宏健,歐陽山,周裕,沈云付,彭俊杰,劉學(xué)民.可重構(gòu)三值光學(xué)處理器的原理、基本結(jié)構(gòu)和實現(xiàn).《中國科學(xué):信息科學(xué)》, vol.42, no.6, pp.778-788, 2012. Yi JIN, Hongjian WANG, Shan OUYANG, Yu ZHOU, Yunfu SHEN, Junjie PENG and Xuemin LIU. Principles, structures, and implementation of reconfigurable ternary optical processors. Science China Information Sciences, vol.54, no.11, pp.2236-2246, 2011 (SCI檢索，影響因子2.731，CCF推薦B類).

9) Hongjian WANG, Yi JIN, Shan OUYANG and Yu ZHOU. Experimentation of a 1-pixel bit reconfigurable ternary optical processor. Journal of Shanghai University (English Edition), vol.15, no.5, pp.430-436, 2011.

10) Yunfu SHEN, Pengfei HU and Hongjian WANG. The computational complexity of arithmetic based on ternary optical computer. Journal of Information and Computational Science, vol.8, no.5, pp.850-857, 2011 (EI檢索).

11) Shan OUYANG, Yi JIN, Yu ZHOU and Hongjian WANG. Principle and architecture of parallel reconfiguration circuit for ternary optical computer. Journal of Shanghai University (English Edition), vol.15, no.5, pp.397-404, 2011.

國際會議

1) Hongjian WANG, Hartmut GEMMEKE, Koen W. A. VAN DONGEN, Torsten HOPP and Jürgen HESSER. Analysis of linearized inverse problems in ultrasound transmission imaging. The 2nd International Workshop on Medical Ultrasound Tomography (MUST 2019), Detroit, Michigan, USA, Oct. 14-15, 2019.

2) Hongjian WANG, Thai Hoa HUYNH, Hartmut GEMMEKE, Torsten HOPP and Jürgen HESSER. GPU acceleration of wave based transmission tomography, 2019 IEEE International Symposium on Biomedical Imaging (ISBI'19), Venice, Italy, April 8-11, 2019.

3) Hongjian WANG, Hartmut GEMMEKE, Torsten HOPP and Jürgen HESSER. Accelerating image reconstruction in ultrasound transmission tomography using L-BFGS algorithm, 2019 SPIE Medical Imaging, San Diego, United States, Feb. 16-21, 2019.

4) Hongjian WANG, Hartmut GEMMEKE, Torsten HOPP and Jürgen HESSER. Multigrid method for solving linearized systems in ultrasound transmission tomography, 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference (IEEE NSS/MIC 2018), Sydney, Australia, Nov. 10-17, 2018.

5) Hongjian WANG, Burak DALKILIC, Hartmut GEMMEKE, Torsten HOPP and Jürgen HESSER. Ultrasound image reconstruction using Nesterov's accelerated gradient, 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference (IEEE NSS/MIC 2018), Sydney, Australia, Nov. 10-17, 2018.

6) Abdelkhalek MANSOURI, Jean-Charles CREPUT, Fabrice LAURI, and Hongjian WANG. Massively parallel optical flow using distributed local search, Proc. of the Tenth International Conference on Pervasive Patterns and Applications (PATTERNS 2018), Barcelona, Spain, Feb. 18-22 (最佳論文獎).

7) Hongjian WANG, Hartmut GEMMEKE, Torsten HOPP and Jürgen HESSER. USCT image reconstruction: acceleration using Gauss-Newton preconditioned conjugate gradient. International Workshop on Medical Ultrasound Tomography, Speyer, Germany, Nov. 01-03, 2017.

8) Hongjian WANG, Abdelkhalek MANSOURI, Jean-Charles CREPUT and Yassine RUICHEK. Distributed local search for elastic image matching. ICSIBO’2016, Mulhouse, France, June 13-14, 2016. Lecture Notes in Computer Science, vol.10103, pp.65-74, 2016.

9) Hongjian WANG, Abdelkhalek MANSOURI and Jean-Charles CREPUT. Massively parallel cellular matrix model for self-organizing map applications. IEEE International Conference on Electronics, Circuits, and Systems (ICECS 2015), Cairo, Egypt, Dec. 06-09, 2015.

10) Hongjian WANG, Abdelkhalek MANSOURI, Jean-Charles CREPUT and Yassine RUICHEK. Massively parallel cellular matrix model for superpixel adaptive segmentation map. MICAI 2015, Cuernavaca, Mexico, Oct. 25-31, 2015. Advances in Artificial Intelligence and Its Applications, Lecture Notes in Computer Science, vol.9414, pp.325-336, 2015.

11) Hongjian WANG and Jean-Charles CREPUT. Parallel and distributed implementation models for bio-inspired optimization algorithms. ICSIBO’2014, Mulhouse, France, May 13-14, 2014. Swarm Intelligence Based Optimization, Lecture Notes in Computer Science, vol.8472, pp.68-79, 2014.

12) Hongjian WANG, Naiyu ZHANG and Jean-Charles CREPUT. A massive parallel cellular GPU implementation of neural network to large scale Euclidean TSP. MICAI 2013, Mexico City, Mexico, Nov. 24-30, 2013 (最佳學(xué)生論文獎). Advances in Soft Computing and Its Applications, Lecture Notes in Computer Science, vol.8266, pp.118-129, 2013.

13) Naiyu ZHANG, Hongjian WANG, Jean-Charles CREPUT, Julien MOREAU and Yassine RUICHEK. Cellular GPU model for structured mesh generation and its application to the stereo-matching disparity map. Proc. of IEEE International Symposium on Multimedia (ISM 2013), Anaheim, California, USA, 2013.

14) Naiyu ZHANG, Hongjian WANG, Jean-Charles CREPUT, Julien MOREAU and Yassine RUICHEK. A near real-time color stereo matching method for GPU. Proc. of Third International Conference on Advanced Communications and Computation (INFOCOMP 2013), Lisbon, Portugal, 2013.

15) Naiyu ZHANG, Jean-Charles CREPUT, Hongjian WANG, Cyril MEURIE and Yassine RUICHEK. Partial demosaicing for stereo matching of CFA images on GPU and CPU. Proc. of Third International Conference on Advanced Communications and Computation (INFOCOMP 2013), Lisbon, Portugal, 2013.

近期主持的科研項目：

1. “基于深度學(xué)習(xí)的超聲計算機斷層掃描圖像重建算法研究”，東華大學(xué)青年教師科研啟動項目，在研，主持。

2. “高分辨率三維超聲斷層成像技術(shù)及其三值處理器實現(xiàn)”，東華大學(xué)中央高校基本科研業(yè)務(wù)費專項資金自由探索項目(理工科)，在研，主持。

近幾年的論著、專利：

1. “基于三值邏輯運算器的MSD并行加法器及其構(gòu)造方法”，國家發(fā)明專利。

獎項：

《可重構(gòu)三值光學(xué)處理器的結(jié)構(gòu)和實驗》，上海市研究生優(yōu)秀成果(學(xué)位論文)

聯(lián)系方式：

hongjian.wang@dhu.edu.cn

計算機學(xué)院1號學(xué)院樓103室

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