DAI, Shilan

POSITION/TITLE

Data Engineer

EDUCATIONAL BACKGROUND

Master of Laws, University of Hong Kong

Bachelor of Arts, Beijing Foreign Studies University, Beijing

EMAIL

daishilan@link.cuhk.edu.cn

RESEARCH INTEREST

Politics of Law; Sociology of Law;

BIOGRAPHY

Dai Shilan obtained her Master degree from the University of Hong Kong. She currently works as a data engineer at the Social Behavior Big Data Lab at Shenzhen Research Institute of Big Data. She is experienced in handling and analyzing government and justice data. She also contributes to team research projects, including evaluation of judicial reform, indices to measure the of a law-based government, as well as the project of Chinese legislation of artificial intelligence.

DAI, Shilan

POSITION/TITLE

Data Engineer

EDUCATIONAL BACKGROUND

Master of Laws, University of Hong Kong

Bachelor of Arts, Beijing Foreign Studies University, Beijing

EMAIL

daishilan@link.cuhk.edu.cn

RESEARCH INTEREST

Politics of Law; Sociology of Law;

BIOGRAPHY

Dai Shilan obtained her Master degree from the University of Hong Kong. She currently works as a data engineer at the Social Behavior Big Data Lab at Shenzhen Research Institute of Big Data. She is experienced in handling and analyzing government and justice data. She also contributes to team research projects, including evaluation of judicial reform, indices to measure the of a law-based government, as well as the project of Chinese legislation of artificial intelligence.

HOU, Yangyao

POSITION/TITLE

SRIBD Data Engineer

RESEARCH FIELD

Intellectual Property Law, Technology Law, Artificial Intelligence Law, Entertainment Law

EMAIL

houyangyao@foxmail.com

EDUCATION BACKGROUND

Master

BIOGRAPHY

Mainly responsible for rule of law and government data analysis and data processing, and conducts research related to the construction of rule of law society, rule of law city construction, intellectual property protection and system construction.

XIAO, Jiashun

POSITION/TITLE

SRIBD, Medical Big Data Lab, Research Scientist

RESEARCH FIELD

Bioinformatics, Genome-wide association analysis (GWAS), statistical and machine learning methods for spatial transcriptome and multi-omics data

EMAIL

xiaojiashun@sribd.cn

EDUCATION BACKGROUND

Ph.D. in Mathematics, Hong Kong University of Science and Technology, 2018-2022

B.S. in Bioinformatics, Southern University of Science and Technology, 2013-2017

BIOGRAPHY

Dr. Xiao Jiashun is currently a research scientist in the Medical Big Data Laboratory of Shenzhen Institute of Big Data Research. He received a Ph.D. in Mathematics from Hong Kong University of Science and Technology in 2022, and a Bachelor's degree in Bioinformatics from Southern University of Science and Technology in 2017. He joined WeGene as a bioinformatics engineer from 207 to 2018. His research aims to develop statistical and machine learning methods for multi-omics data, including trans-ancestry association mapping, polygenic prediction with large-scale genetic data, and integrative analysis of single-cell and spatial transcriptomics data, etc. He has published several papers in international academic journals (AJHG, Bioinformatics, etc.) as the first or co-first author.

ACADEMIC PUBLICATIONS

Xiao, J.#, Cai, M.#, Yu, X., Hu, X., Chen, G., Wan, X., & Yang, C. (2022). Leveraging the local genetic structure for trans-ancestry association mapping. The American Journal of Human Genetics, 109(7), 1317-1337.

Xiao, J.#, Cai, M.#, Hu, X., Wan, X., Chen, G., & Yang, C. (2022). XPXP: Improving polygenic prediction by cross-population and cross-phenotype analysis. Bioinformatics, 38(7), 1947-1955.

Cai, M#., Xiao, J#., Zhang, S#., Wan, X., Zhao, H., Chen, G., & Yang, C. (2021). A unified framework for cross-population trait prediction by leveraging the genetic correlation of polygenic traits. The American Journal of Human Genetics, 108(4), 632-655.

Yu X., Xiao J., Cai M., Jiao Y., Wan X., Liu J., Yang C. (2023). PALM: a powerful and adaptive latent model for prioritizing risk variants with functional annotations. Bioinformatics, 39(2).

Yiming Chao, Yang Xiang, Jiashun Xiao, et al. (2023). Organoid-based single-cell spatiotemporal gene expression landscape of human embryonic development and hematopoiesis. Signal Transduction and Targeted Therapy, Under minor revision.

# co-first author

XIAO, Jiashun

POSITION/TITLE

SRIBD, Medical Big Data Lab, Research Scientist

RESEARCH FIELD

Bioinformatics, Genome-wide association analysis (GWAS), statistical and machine learning methods for spatial transcriptome and multi-omics data

EMAIL

xiaojiashun@sribd.cn

EDUCATION BACKGROUND

Ph.D. in Mathematics, Hong Kong University of Science and Technology, 2018-2022

B.S. in Bioinformatics, Southern University of Science and Technology, 2013-2017

BIOGRAPHY

Dr. Xiao Jiashun is currently a research scientist in the Medical Big Data Laboratory of Shenzhen Institute of Big Data Research. He received a Ph.D. in Mathematics from Hong Kong University of Science and Technology in 2022, and a Bachelor's degree in Bioinformatics from Southern University of Science and Technology in 2017. He joined WeGene as a bioinformatics engineer from 207 to 2018. His research aims to develop statistical and machine learning methods for multi-omics data, including trans-ancestry association mapping, polygenic prediction with large-scale genetic data, and integrative analysis of single-cell and spatial transcriptomics data, etc. He has published several papers in international academic journals (AJHG, Bioinformatics, etc.) as the first or co-first author.

ACADEMIC PUBLICATIONS

Xiao, J.#, Cai, M.#, Yu, X., Hu, X., Chen, G., Wan, X., & Yang, C. (2022). Leveraging the local genetic structure for trans-ancestry association mapping. The American Journal of Human Genetics, 109(7), 1317-1337.

Xiao, J.#, Cai, M.#, Hu, X., Wan, X., Chen, G., & Yang, C. (2022). XPXP: Improving polygenic prediction by cross-population and cross-phenotype analysis. Bioinformatics, 38(7), 1947-1955.

Cai, M#., Xiao, J#., Zhang, S#., Wan, X., Zhao, H., Chen, G., & Yang, C. (2021). A unified framework for cross-population trait prediction by leveraging the genetic correlation of polygenic traits. The American Journal of Human Genetics, 108(4), 632-655.

Yu X., Xiao J., Cai M., Jiao Y., Wan X., Liu J., Yang C. (2023). PALM: a powerful and adaptive latent model for prioritizing risk variants with functional annotations. Bioinformatics, 39(2).

Yiming Chao, Yang Xiang, Jiashun Xiao, et al. (2023). Organoid-based single-cell spatiotemporal gene expression landscape of human embryonic development and hematopoiesis. Signal Transduction and Targeted Therapy, Under minor revision.

# co-first author

LIU, Siqi

TITLE/POSITON

Research Scientist

RESEARCH DIRECTION

Medical Image Analysis, Biometric Security, Computer Vision, Deep Learning

EMAIL

siqiliu@sribd.cn

EDUCATION BACKGROUND

Ph.D. in Hong Kong Baptist University 

B.Sc. in Sun Yat-sen University

BIOGRAPHY

刘斯奇博士现为深圳大数据研究院医疗大数据实验室研究科学家。他在中山大学获得学士学位，后赴香港浸会大学深造，于2021年获计算机科学博士学位并继续博士后研究工作至2022年。刘斯奇博士在2014年于京都大学进行访问交流。他的研究兴趣包括胃肠镜影像分析，病例图像分析等医学影像分析相关方向，生物识别安全，计算机视觉和深度学习。他在ECCV, AAA, IJCAI, IEEE TIFS 等计算机视觉与模式识别领域顶级会议和期刊发表文章数篇，并连续担任CVPR、ICCV、ECCV、ICLR、AAAI、IJCAI、WACV、IEEE TPAMI、TIP、TIFS、TDSC、TBIOM等顶级会议和期刊审稿人。

PAPER

  • SQ. Liu, X. Lan, and PC. Yuen, “Learning Temporal Similarity of Remote Photoplethysmography for Fast 3D Mask Face Presentation Attack Detection,” IEEE Transactions on Information Forensics and Security (TIFS), 2022.
  • SQ. Liu, X. Lan, and PC. Yuen, “Multi-Channel Remote Photoplethysmography Correspondence Feature for 3D Mask Face Presentation Attack Detection,” IEEE Transactions on Information Forensics and Security (TIFS), 2021.
  • SQ. Liu, and PC. Yuen, “A General Remote Photoplethysmography Estimator with Spatiotemporal Convolutional Network,” FG, 2020.
  • SQ. Liu, X. Lan, and PC. Yuen, “Temporal Similarity Analysis of Remote Photoplethysmography for Fast 3D Mask Face Presentation Attack Detection,” WACV, 2020.
  • SQ. Liu, X. Lan, PC. Yuen, “Remote Photoplethysmography Correspondence Feature for 3D Mask Face Presentation Attack Detection” in ECCV, 2018.
  • SQ. Liu, PC. Yuen, S. Zhang, G. Zhao,”3D Mask Face Anti-spoofing with Remote Photoplethysmography” in ECCV, 2016.
  • SQ. Liu, B. Yang, PC. Yuen, G. Zhao, “A 3D Mask Face Anti-spoofing Database with Real World Variations.” in CVPRW, 2016.
  • C. Yin, SQ. Liu, VWS. Wong, PC. Yuen, “Learning Sparse Interpretable Features For NAS Scoring From Liver Biopsy Images,” IJCAI, 2022.
  • C. Yin, SQ. Liu, R. Shao, and PC. Yuen, “Focusing on Clinically Interpretable Features: Selective Attention Regularization for Liver Biopsy Image Classification,” MICCAI, 2021. (Oral (11.3%))
  • J. Du, SQ. Liu, B. Zhang, and PC. Yuen, “Weakly Supervised rPPG Estimation for Respiratory Rate Estimation,” ICCVW, 2021.
  • W. Lou, X. Yu, C. Liu, X. Wan, G. Li, SQ. Liu, H. Li, “Multi-stream Cell Segmentation with Low-level Cues for Multi-modality Images.” In NeurIPS, 2022

PUBLICATION

  • SQ. Liu, PC. Yuen, “Recent Progress on Face Presentation Attack Detection of 3D Mask Attacks,” Hand- book of Biometric Anti-Spoofing (Third Edition): Presentation Attack Detection and Vulnerability Assessment, Springer, 2022.
  • SQ. Liu, PC. Yuen, X. Li, and G. Zhao, “Recent Progress on Face Presentation Attack Detection of 3D Mask Attacks,” Handbook of Biometric Anti-Spoofing (Second Edition): Presentation Attack Detection, Springer, 2019.

PATENT

  • PC. Yuen, SQ. Liu, S. Zhang, and G. Zhao, “3D Mask Face Anti-spoofing with Remote Photoplethysmography,” US Patent, 2019.
LIU, Siqi

TITLE/POSITON

Research Scientist

RESEARCH DIRECTION

Medical Image Analysis, Biometric Security, Computer Vision, Deep Learning

EMAIL

siqiliu@sribd.cn

EDUCATION BACKGROUND

Ph.D. in Hong Kong Baptist University 

B.Sc. in Sun Yat-sen University

BIOGRAPHY

刘斯奇博士现为深圳大数据研究院医疗大数据实验室研究科学家。他在中山大学获得学士学位，后赴香港浸会大学深造，于2021年获计算机科学博士学位并继续博士后研究工作至2022年。刘斯奇博士在2014年于京都大学进行访问交流。他的研究兴趣包括胃肠镜影像分析，病例图像分析等医学影像分析相关方向，生物识别安全，计算机视觉和深度学习。他在ECCV, AAA, IJCAI, IEEE TIFS 等计算机视觉与模式识别领域顶级会议和期刊发表文章数篇，并连续担任CVPR、ICCV、ECCV、ICLR、AAAI、IJCAI、WACV、IEEE TPAMI、TIP、TIFS、TDSC、TBIOM等顶级会议和期刊审稿人。

PAPER

  • SQ. Liu, X. Lan, and PC. Yuen, “Learning Temporal Similarity of Remote Photoplethysmography for Fast 3D Mask Face Presentation Attack Detection,” IEEE Transactions on Information Forensics and Security (TIFS), 2022.
  • SQ. Liu, X. Lan, and PC. Yuen, “Multi-Channel Remote Photoplethysmography Correspondence Feature for 3D Mask Face Presentation Attack Detection,” IEEE Transactions on Information Forensics and Security (TIFS), 2021.
  • SQ. Liu, and PC. Yuen, “A General Remote Photoplethysmography Estimator with Spatiotemporal Convolutional Network,” FG, 2020.
  • SQ. Liu, X. Lan, and PC. Yuen, “Temporal Similarity Analysis of Remote Photoplethysmography for Fast 3D Mask Face Presentation Attack Detection,” WACV, 2020.
  • SQ. Liu, X. Lan, PC. Yuen, “Remote Photoplethysmography Correspondence Feature for 3D Mask Face Presentation Attack Detection” in ECCV, 2018.
  • SQ. Liu, PC. Yuen, S. Zhang, G. Zhao,”3D Mask Face Anti-spoofing with Remote Photoplethysmography” in ECCV, 2016.
  • SQ. Liu, B. Yang, PC. Yuen, G. Zhao, “A 3D Mask Face Anti-spoofing Database with Real World Variations.” in CVPRW, 2016.
  • C. Yin, SQ. Liu, VWS. Wong, PC. Yuen, “Learning Sparse Interpretable Features For NAS Scoring From Liver Biopsy Images,” IJCAI, 2022.
  • C. Yin, SQ. Liu, R. Shao, and PC. Yuen, “Focusing on Clinically Interpretable Features: Selective Attention Regularization for Liver Biopsy Image Classification,” MICCAI, 2021. (Oral (11.3%))
  • J. Du, SQ. Liu, B. Zhang, and PC. Yuen, “Weakly Supervised rPPG Estimation for Respiratory Rate Estimation,” ICCVW, 2021.
  • W. Lou, X. Yu, C. Liu, X. Wan, G. Li, SQ. Liu, H. Li, “Multi-stream Cell Segmentation with Low-level Cues for Multi-modality Images.” In NeurIPS, 2022

PUBLICATION

  • SQ. Liu, PC. Yuen, “Recent Progress on Face Presentation Attack Detection of 3D Mask Attacks,” Hand- book of Biometric Anti-Spoofing (Third Edition): Presentation Attack Detection and Vulnerability Assessment, Springer, 2022.
  • SQ. Liu, PC. Yuen, X. Li, and G. Zhao, “Recent Progress on Face Presentation Attack Detection of 3D Mask Attacks,” Handbook of Biometric Anti-Spoofing (Second Edition): Presentation Attack Detection, Springer, 2019.

PATENT

  • PC. Yuen, SQ. Liu, S. Zhang, and G. Zhao, “3D Mask Face Anti-spoofing with Remote Photoplethysmography,” US Patent, 2019.
GONG, Shihua

POSITION/TITLE

Research Scientist of SICIAM

Assistant Professor of CUHKSZ

EDUCATION BACKGROUND

Ph.D. (Peking University)

B.S. (Sun Yat-Sen University)

RESEARCH FIELD

Scientific computing and numerical analysis, finite element, domain decomposition, and preconditioning techniques

ACADEMIC AREA

Mathematics and Applied Mathematics

PERSONAL WEBSITE

http://www.Shihua-gong.org

EMAIL

gongshihua@cuhk.edu.cn

BIOGRAPHY

Dr. Gong obtained his bachelor's degree in Information and Computational Science from Sun Yat-sen University in 2013 and a Ph.D. degree in Computational Mathematics from Peking University in 2018. After graduation, he worked as a postdoctoral scholar at Pennsylvania State University (2018-2019) and then as a research associate at the University of Bath (2019-2021).

His research interests include scientific computing and numerical analysis, mainly focusing on finite element, domain decomposition methods, and preconditioning techniques for frequency-domain wave equations and multiphysics problems.

ACADEMIC PUBLICATIONS

[1] S. Gong, I. G. Graham & E. A. Spence. Convergence of Restricted Additive Schwarz with impedance transmission conditions for discretised Helmholtz problems. Math. Comp.. 92:175-215 (2022).

[2] S. Gong, M. J. Gander, I. G. Graham, D. Lafontaine & E. A. Spence. Convergence of parallel overlapping domain decomposition methods for the Helmholtz equation. Numer. Math.. 151:259-306 (2022).

[3] S. Gong, I. G. Graham & E. A. Spence, Domain decomposition preconditioners for high-order discretizations of the heterogeneous Helmholtz equation. IMA J. Numer. Anal.. 41(3): 2139-2185 (2021).

[4] S. Gong & X.-C. Cai. A nonlinear elimination preconditioned inexact Newton method for heterogeneous hyperelasticity. SIAM J. Sci. Comp.. 41(5): S390-S408 (2019).

[5] S. Gong, S. Wu & J. Xu. New hybridized mixed methods for linear elasticity and optimal multilevel solvers. Numer. Math.. 141: 569-604 (2019).

[6] S. Wu, S. Gong, & J. Xu. Interior penalty mixed finite element methods of any order in any dimension for linear elasticity with strongly symmetric stress tensor. Math. Models Methods Appl. Sci.. 27(14):2711- 2743 (2017).

 

LI, Haofeng

POSITION/TITLE 

SRIBD Research Scientist

RESEARCH FIELD

Medical Image Analysis, Computer Vision, Deep Neural Networks

3、EMAIL

lhaof@sribd.cn

PERSONAL WEBSITE

http://haofengli.net/ 

EDUCATION BACKGROUND

PhD, The University of Hong Kong

BSc, Sun Yat-sen University

BIOGRAPHY

Dr. Haofeng Li received his Ph.D. degree in computer science from The University of Hong Kong (2015-2020) and his B.Sc. degree in computer science from Sun Yat-sen University (2011-2015). In June 2020, he joined Shenzhen Research Institute of Big Data (SRIBD). His research interests include medical image analysis, computer vision and deep neural networks. He already published 15 papers on the well-known conferences and journals, including IEEE TMI, MedIA, MICCAI, ICCV, AAAI, ACM MM, IEEE TIP, IEEE TCyb, ISBI etc. Dr. Haofeng Li is the reviewer of IEEE TPAMI, IEEE TIP, IEEE TCYB, Pattern Regconition, Neurocomputing, NeurIPS 2022, MICCAI 2023 etc. He is the principle investigator (PI) that leads a project supported by National Natural Science Foundation of China (NSFC) and a project supported by Guangdong Basic and Applied Basic Research Foundation. He led a team to obtain the 2nd place of NeurIPS cell segmentation challenge (out of 100 teams). He is recruiting students and team members. For more details, please visit http://haofengli.net/ 

7、ACADEMIC PUBLICATIONS

* Joint first authors  # Corresponding author

  1. Wei Lou, Haofeng Li#(Corresponding), Guanbin Li, Xiaoguang Han, Xiang Wan, Which Pixel to Annotate: a Label-Efficient Nuclei Segmentation Framework, IEEE Transactions on Medical Imaging (TMI, IF=11.037), 2022.11
  2. Junjia Huang, Haofeng Li#(Corresponding), Guanbin Li#, Xiang Wan, Attentive Symmetric Autoencoder for Brain MRI Segmentation, Early Accept (top 13%) in MICCAI, 2022.09
  3. Haofeng Li, Junjia Huang, Guanbin Li, Zhou Liu, Yihong Zhong, Yingying Chen, Yunfei Wang, Xiang Wan, View-Disentangled Transformer for Brain Lesion Detection, International Symposium on Biomedical Imaging (ISBI), 2022.03
  4. Jiutao Yue*, Haofeng Li* (Joint first author), Pengxu Wei, Guanbin Li, Liang Lin, Robust Real-World Image Super-Resolution against Adversarial Attacks, ACM Multimedia (CCF A), 2021.10
  5. Hong-Yu Zhou*, Chengdi Wang*, Haofeng Li* (Joint first author), Gang Wang, Shu Zhang, Weimin Li, Yizhou Yu, SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation, Medical Image Analysis (IF = 8.545), 2021.08
  6. Haofeng Li, Yirui Zeng, Guanbin Li, Liang Lin, Yizhou Yu, Online Alternate Generator against Adversarial Attacks, IEEE Transactions on Image Processing (TIP, CCF A, IF=10.856), 2020.09
  7. Haofeng Li, Guanqi Chen, Guanbin Li, Yizhou Yu, Motion Guided Attention for Video Salient Object Detection, IEEE International Conference on Computer Vision (ICCV, CCF A), 2019.11
  8. Haofeng Li, Guanbin Li, Yizhou Yu, ROSA: Robust Salient Object Detection Against Adversarial Attacks, IEEE Transactions on Cybernetics (JCR Q1, IF=11.079), 2019
  9. Haofeng Li, Guanbin Li, Liang Lin, Hongchuan Yu, Yizhou Yu, Context Aware Semantic Inpainting, IEEE Transactions on Cybernetics (JCR Q1), 2018
  10. Xiang He, Sibei Yang, Guanbin Li, Haofeng Li, Huiyou Chang, Yizhou Yu, Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks, Oral Presentation in AAAI (CCF A), 2019
  11. Kan Wu, Guanbin Li, Haofeng Li, Jianjun Zhang, Yizhou Yu, Harvesting Visual Objects from Internet Images via Deep Learning Based Objectness Assessment, ACM Transactions on Multimedia Computing, Communications and Applications TOMM (CCF B), 2019
LI, Haofeng

POSITION/TITLE 

SRIBD Research Scientist

RESEARCH FIELD

Medical Image Analysis, Computer Vision, Deep Neural Networks

3、EMAIL

lhaof@sribd.cn

PERSONAL WEBSITE

http://haofengli.net/ 

EDUCATION BACKGROUND

PhD, The University of Hong Kong

BSc, Sun Yat-sen University

BIOGRAPHY

Dr. Haofeng Li received his Ph.D. degree in computer science from The University of Hong Kong (2015-2020) and his B.Sc. degree in computer science from Sun Yat-sen University (2011-2015). In June 2020, he joined Shenzhen Research Institute of Big Data (SRIBD). His research interests include medical image analysis, computer vision and deep neural networks. He already published 15 papers on the well-known conferences and journals, including IEEE TMI, MedIA, MICCAI, ICCV, AAAI, ACM MM, IEEE TIP, IEEE TCyb, ISBI etc. Dr. Haofeng Li is the reviewer of IEEE TPAMI, IEEE TIP, IEEE TCYB, Pattern Regconition, Neurocomputing, NeurIPS 2022, MICCAI 2023 etc. He is the principle investigator (PI) that leads a project supported by National Natural Science Foundation of China (NSFC) and a project supported by Guangdong Basic and Applied Basic Research Foundation. He led a team to obtain the 2nd place of NeurIPS cell segmentation challenge (out of 100 teams). He is recruiting students and team members. For more details, please visit http://haofengli.net/ 

7、ACADEMIC PUBLICATIONS

* Joint first authors  # Corresponding author

  1. Wei Lou, Haofeng Li#(Corresponding), Guanbin Li, Xiaoguang Han, Xiang Wan, Which Pixel to Annotate: a Label-Efficient Nuclei Segmentation Framework, IEEE Transactions on Medical Imaging (TMI, IF=11.037), 2022.11
  2. Junjia Huang, Haofeng Li#(Corresponding), Guanbin Li#, Xiang Wan, Attentive Symmetric Autoencoder for Brain MRI Segmentation, Early Accept (top 13%) in MICCAI, 2022.09
  3. Haofeng Li, Junjia Huang, Guanbin Li, Zhou Liu, Yihong Zhong, Yingying Chen, Yunfei Wang, Xiang Wan, View-Disentangled Transformer for Brain Lesion Detection, International Symposium on Biomedical Imaging (ISBI), 2022.03
  4. Jiutao Yue*, Haofeng Li* (Joint first author), Pengxu Wei, Guanbin Li, Liang Lin, Robust Real-World Image Super-Resolution against Adversarial Attacks, ACM Multimedia (CCF A), 2021.10
  5. Hong-Yu Zhou*, Chengdi Wang*, Haofeng Li* (Joint first author), Gang Wang, Shu Zhang, Weimin Li, Yizhou Yu, SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation, Medical Image Analysis (IF = 8.545), 2021.08
  6. Haofeng Li, Yirui Zeng, Guanbin Li, Liang Lin, Yizhou Yu, Online Alternate Generator against Adversarial Attacks, IEEE Transactions on Image Processing (TIP, CCF A, IF=10.856), 2020.09
  7. Haofeng Li, Guanqi Chen, Guanbin Li, Yizhou Yu, Motion Guided Attention for Video Salient Object Detection, IEEE International Conference on Computer Vision (ICCV, CCF A), 2019.11
  8. Haofeng Li, Guanbin Li, Yizhou Yu, ROSA: Robust Salient Object Detection Against Adversarial Attacks, IEEE Transactions on Cybernetics (JCR Q1, IF=11.079), 2019
  9. Haofeng Li, Guanbin Li, Liang Lin, Hongchuan Yu, Yizhou Yu, Context Aware Semantic Inpainting, IEEE Transactions on Cybernetics (JCR Q1), 2018
  10. Xiang He, Sibei Yang, Guanbin Li, Haofeng Li, Huiyou Chang, Yizhou Yu, Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks, Oral Presentation in AAAI (CCF A), 2019
  11. Kan Wu, Guanbin Li, Haofeng Li, Jianjun Zhang, Yizhou Yu, Harvesting Visual Objects from Internet Images via Deep Learning Based Objectness Assessment, ACM Transactions on Multimedia Computing, Communications and Applications TOMM (CCF B), 2019
LI, Zhe

POSITION/TITLE

SRIBD Engineer

RESEARCH FIELD

4G / 5G communication technology

ACADEMIC PUBLICATIONS

Zhe Li,a engineer from DIIS lab,focus on the communication industry more than 10 years,is familiar with 4G/5G communication equipment and system architecture.He has a deep understanding of public and private network communication, engineering network optimization, system integration solutions, etc. He has obtained PMP international project management certificate. He has implemented several convergence communication projects in Canada,Germany,the United Arab Emirates,UZ,Morocco,Indonesia and other countries.

LI, Zhe

POSITION/TITLE

SRIBD Engineer

RESEARCH FIELD

4G / 5G communication technology

ACADEMIC PUBLICATIONS

Zhe Li,a engineer from DIIS lab,focus on the communication industry more than 10 years,is familiar with 4G/5G communication equipment and system architecture.He has a deep understanding of public and private network communication, engineering network optimization, system integration solutions, etc. He has obtained PMP international project management certificate. He has implemented several convergence communication projects in Canada,Germany,the United Arab Emirates,UZ,Morocco,Indonesia and other countries.

TONG, Shilu

TITLE/POSITION

Senior Research Scientist

Associate Dean of CUHKSZ

RESEARCH INTEREST

Operations Management

EMAIL

tongshilu@cuhk.edu.cn

EDUCATION BACKGROUND

Ph.D., Operations Management, Hong Kong University of Science and Technology
MSc, Fudan University
BSc, Fudan University

BIOGRAPHY

Shilu Tong received his Ph.D from Hong Kong University of Science and Technology. Prior to that, he received a Bachelor’s degree and Master’s degree from Fudan University, China. His research interest includes Operations Management.

PUBLICATIONS

1. "Dynamic Contract under Quick Response in a Supply Chain with Information Asymmetry",Zhang, J., L. Qi, S. Tong,Production and Operations Management,forthcoming

2. "Channel Structures of Online Retail Platforms",Ha, A., S. Tong, Y. Wang,Manufacturing & Service Operations Management,forthcoming

3. "Sharing Manufacturer's Demand Information in a Supply Chain with Price and Service Effort Competition",Wang, Y., Ha. A., S. Tong,Manufacturing & Service Operations Management,forthcoming

4. "Duopolistic Positioning and Pricing Competition with Variety-Seeking and Strategic Consumers",Wang, Y., W. Shang, S. Tong,Naval Research Logistics,forthcoming

5. "Sharing Demand Information in Competing Supply Chains with Cost Reduction Efforts",Ha, A. Y. J. Tian and S. Tong,Manufacturing and Service Operations Management,Vol. 19(2), pp 246-262, 2017

6. "On the Impact of Uncertain Cost Reduction when Selling to Strategic Customers",Shum, S., Tong, S., and Xiao, T.,Management Science,2017

7. "Information Sharing in a Supply Chain with a Common Retailer",Shang, W., Ha, A., and Tong, S.,Management Science,62(1): 245-263,2016

8. "Transparency of Information Acquisition in a Supply Chain",Li, Tian, Tong, Shilu and Zhang, Hongtao,Manufacturing and Service Operations Management,Vol. 16, No. 3,2014

9. "Sourcing under Cost Information Asymmetry When Facing Time-sensitive Customers",Xu, H, N. Yao and S. Tong,International Journal of Production Economics,Vol. 144, No. 2, 2013

10. "Sharing Imperfect Demand Information in Competing Supply Chains with Production Diseconomies",Ha, Albert., Tong, Shilu and Zhang, Hongtao,Management Science,Vol. 57, No. 3,2011

11. "Revenue Sharing Contracts in a Supply Chain with Uncontractible Actions",Ha, A., and S. Tong,Naval Research Logistics,Vol. 55, No. 5, 2008

12. "Contracting and Information Sharing under Supply Chains Competition",Ha, Albert and Tong, Shilu,Management Science,Vol. 54, No. 4,2008

TONG, Shilu

TITLE/POSITION

Senior Research Scientist

Associate Dean of CUHKSZ

RESEARCH INTEREST

Operations Management

EMAIL

tongshilu@cuhk.edu.cn

EDUCATION BACKGROUND

Ph.D., Operations Management, Hong Kong University of Science and Technology
MSc, Fudan University
BSc, Fudan University

BIOGRAPHY

Shilu Tong received his Ph.D from Hong Kong University of Science and Technology. Prior to that, he received a Bachelor’s degree and Master’s degree from Fudan University, China. His research interest includes Operations Management.

PUBLICATIONS

1. "Dynamic Contract under Quick Response in a Supply Chain with Information Asymmetry",Zhang, J., L. Qi, S. Tong,Production and Operations Management,forthcoming

2. "Channel Structures of Online Retail Platforms",Ha, A., S. Tong, Y. Wang,Manufacturing & Service Operations Management,forthcoming

3. "Sharing Manufacturer's Demand Information in a Supply Chain with Price and Service Effort Competition",Wang, Y., Ha. A., S. Tong,Manufacturing & Service Operations Management,forthcoming

4. "Duopolistic Positioning and Pricing Competition with Variety-Seeking and Strategic Consumers",Wang, Y., W. Shang, S. Tong,Naval Research Logistics,forthcoming

5. "Sharing Demand Information in Competing Supply Chains with Cost Reduction Efforts",Ha, A. Y. J. Tian and S. Tong,Manufacturing and Service Operations Management,Vol. 19(2), pp 246-262, 2017

6. "On the Impact of Uncertain Cost Reduction when Selling to Strategic Customers",Shum, S., Tong, S., and Xiao, T.,Management Science,2017

7. "Information Sharing in a Supply Chain with a Common Retailer",Shang, W., Ha, A., and Tong, S.,Management Science,62(1): 245-263,2016

8. "Transparency of Information Acquisition in a Supply Chain",Li, Tian, Tong, Shilu and Zhang, Hongtao,Manufacturing and Service Operations Management,Vol. 16, No. 3,2014

9. "Sourcing under Cost Information Asymmetry When Facing Time-sensitive Customers",Xu, H, N. Yao and S. Tong,International Journal of Production Economics,Vol. 144, No. 2, 2013

10. "Sharing Imperfect Demand Information in Competing Supply Chains with Production Diseconomies",Ha, Albert., Tong, Shilu and Zhang, Hongtao,Management Science,Vol. 57, No. 3,2011

11. "Revenue Sharing Contracts in a Supply Chain with Uncontractible Actions",Ha, A., and S. Tong,Naval Research Logistics,Vol. 55, No. 5, 2008

12. "Contracting and Information Sharing under Supply Chains Competition",Ha, Albert and Tong, Shilu,Management Science,Vol. 54, No. 4,2008

WANG, Dong

POSITION/TITLE

Research Scientist of SICIAM

Assistant Professor of CUHKSZ

EDUCATION BACKGROUND

B.S. (Sichuan University)

Ph.D. (The Hong Kong University of Science and Technology)

RESEARCH FIELD

Computational fluid dynamics, computational material science, image processing, optimization, machine learning

ACADEMIC AREA

Mathematics and Applied Mathematics

PERSONAL WEBSITE

https://mypage.cuhk.edu.cn/academics/wangdong/

EMAIL

wangdong@cuhk.edu.cn

BIOGRAPHY

Dong Wang is an Assistant Professor in the School of Science and Engineering at the Chinese University of Hong Kong, Shenzhen. He has broad interests in analytical and computational methods for problems in applied mathematics, especially in computational fluid dynamics, computational material science, image processing, optimization and machine learning.

After receiving his Bachelor degree in Mathematics from Sichuan University in 2013, Dong earned his Ph.D. in Applied Mathematics at the Hong Kong University of Science and Technology in 2017. Before moving to CUHK(SZ), he was an Assistant Professor Lecturer in the Department of Mathematics at the University of Utah.

ACADEMIC PUBLICATIONS

  1. Dong Wang, An efficient unconditionally stable method for computing Dirichlet partitions in arbitrary domains, to appear in SIAM J. Sci. Comput., 2022.
  2. Dong Wang* and Xiao-Ping Wang, The iterative convolution-thresholding method (ICTM) for image segmentation, Pattern Recognit., 130, 108794, 2022.  
  3. Wei Hu, Dong Wang, and Xiao-Ping Wang, An efficient iterative method for the formulation of flow networks, Commun. Comput. Phys., 31, pp. 1317-1340， 2022.
  4. Ruijian Han, Braxton Osting, Dong Wang, and Yiming Xu, Probabilistic methods for approximate archetypal analysis, Information and Inference: A Journal of the IMA, iaac008, 2022.
  5. Huangxin Chen, Haitao Leng, Dong Wang, and Xiao-Ping Wang*, An efficient threshold dynamics method for topology optimization for fluids, CSIAM Trans. Appl. Math., 3, pp. 26-56, 2022. 
  6. Haitao Leng, Dong Wang, Huangxin Chen, and Xiao-Ping Wang*,  An iterative thresholding method for topology optimization for the Navier-Stokes flow, Recent Advances in Industrial and Applied Mathematics. SEMA SIMAI Springer Series, vol 1. Springer, Cham., 2022.
  7. Jun Ma, Dong Wang*, Xiao-Ping Wang, and Xiaoping Yang*, A characteristic function-based algorithm for geodesic active contours , SIAM J. Imaging Sci. Vol 14, No.3, 1184-1205, 2021.
  8. Zhiyong Luo+, Dong Wang+, Kai-Xuan Chen, Lingqi Huang, Xiangyang Liu, Qi Zhang, He Zhu*, Shiping Zhu*, Metal Oxy-hydroxides with a hierarchical and hollow structure for highly efficient solar-thermal water evaporation , ACS Appl. Mater. Interfaces, 2021, 13, 23, 27726–27733. ([+]: Co-first authors)
  9. Dong Wang*, An efficient iterative method for reconstructing surface from point clouds , J. Sci. Comput., 87：38, 2021.
  10. Braxton Osting*, Dong Wang, Yiming Xu, and Dominique Zosso, Consistency of Archetypal Analysis, SIAM J. Math. Data Sci., 3(1), 1–30,2021.
  11. Braxton Osting* and Dong Wang, A diffusion generated motion for orthogonal matrix-valued fields, Math. Comp. 89, 515-550, 2020.
  12. Braxton Osting* and Dong Wang, Diffusion generated methods for denoising target-valued images, AIMS Inverse Probl. Imag., 14(2): 205-232, 2020.
  13. Dong Wang*, Shidong Jiang, and Xiao-Ping Wang, An efficient boundary integral scheme for the threshold dynamics method II: applications to wetting dynamics, J. Sci. Comput., 81(3), 1860-1881, 2019.
  14. Dong Wang, Braxton Osting*, and Xiao-Ping Wang, Interface dynamics for an Allen-Cahn-type equation governing a matrix-valued field, Multiscale Model. Sim., 17(4), 12521273, 2019.
  15. Dong Wang, Andrej Cherkaev, and Braxton Osting*, Dynamics and stationary configurations of heterogeneous foams, PLoS ONE 14(4): e0215836, 2019.
  16. Dong Wang, Xiao-Ping Wang*, and Xianmin Xu, An improved threshold dynamics method for wetting dynamics, J. Comput. Phys., 392, 291–310, 2019.
  17. Dong Wang and Braxton Osting*, A diffusion generated method for computing Dirichlet partitions, J. Comput. Appl. Math., 351, 302–316, 2019.
  18. Shidong Jiang*, Dong Wang, and Xiao-Ping Wang, An efficient boundary integral scheme for the MBO threshold dynamics method via NUFFT, J. Sci. Comput., 74(1), 474–490, 2018.
  19. Dong Wang, Haohan Li, Xiaoyu Wei, and Xiao-Ping Wang*, An efficient iterative thresholding method for image segmentation, J. Comput. Phys., 350, 657–667, 2017.
  20. Dong Wang, Xiao-Ping Wang*, and Yaguang Wang, The dynamics of three-phase triple junction and contact line, SIAM J. Appl. Math., 77(5), 1805–1826, 2017.
  21. Xianmin Xu, Dong Wang, and Xiao-Ping Wang*, An efficient threshold dynamics method for wetting on rough surfaces, J. Comput. Phys., 330, 510–528, 2017.