Jing Hua

Jing Hua

Professor, Computer Science

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Jing Hua

Biography

Dr. Jing Hua is a Professor of Computer Science and the founding director of Computer Graphics and Visualization Lab (CGV) at Computer Science at Wayne State University (WSU). He received his Ph.D. degree (2004) in Computer Science from the State University of New York at Stony Brook. He also received his M.S. degree (1999) in Pattern Recognition and Artificial Intelligence from the Institute of Automation, Chinese Academy of Sciences in Beijing, China and his B.S. degree (1996) in Electrical Engineering from the Huazhong University of Science & Technology in Wuhan, China. He was an Assistant Professor from August 2004 to July 2009 and Associate Professor from August 2009 to July 2014 at WSU. His research interests lie in the areas of Computer Graphics and Visualization, Image Analysis and Informatics, etc. He has authored over 150 papers in the above research fields in the journals and conferences. He received the Best Paper Award at ACM Solid Modeling 2004, the Gaheon Award for the Best Paper of International Journal of CAD/CAM in 2009, the WSU Faculty Research Award in 2005, the College of Liberal Arts and Sciences Excellence in Teaching Award in 2008, the K. C. Wong Research Award in 2010, and the Best Demo Awards at GENI Engineering Conference 21 (2014) and 23 (2015), respectively. His research is supported by the National Science Foundation, National Institutes of Health, Michigan Technology Tri-Corridor, Michigan Economic Development Corporation, Ford Motor Company, and WSU. He serves as an Editorial Board Member for many journals as well as a Program Committee Member for many international conferences.

Education

 Ph.D 2004, State University of New York at Stony Brook

Research Interests

 Computer Graphics, Visualization, Image Analysis

Publications

 Y. Wang, G. Yan, H. Zhu, S. Buch, Y. Wang, E. M. Haacke, J. Hua, and Z. Zhong, "VC-Net: Deep Volume-Composition Networks for Segmentation and Visualization of Highly Sparse and Noisy Image Data," IEEE Transactions on Visualization and Computer Graphics (IEEE VIS' 20), Vol. 27, No. 1, 2021.

Yankun Xi, Guoli Yan, Jing Hua, and Zichun Zhong, "JointFontGAN: Joint Geometry-Content GAN for Font Generation via Few-Shot Learning," In Proceedings of ACM Multimedia (ACM MM), 2020.

Hajar Hamidian, Zichun Zhong, Farshad Fotouhi, and Jing Hua, "Surface Registration with Eigenvalues and Eigenvectors," IEEE Transactions on Visualization and Computer Graphics, Vol. 26, No. 11, pp. 3327-3339, 2020.

Yifan Wang, Zichun Zhong, and Jing Hua, "DeepOrganNet: On-the-Fly Reconstruction and Visualization of 3D/4D Lung Models from Single-View Projections by Deep Deformation Network," IEEE Transactions on Visualization and Computer Graphics (IEEE VIS' 19), Vol. 26, No. 1, pp. 960 - 970, 2020.

Artem Komarichev, Zichun Zhong, and Jing Hua, "A-CNN: Annularly Convolutional Neural Networks on Point Clouds," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR '19), 2019.

Hai Jin, Yuanfeng Lian, and Jing Hua, "Learning Facial Expressions with 3D Mesh Convolutional Neural Network," ACM Transactions on Intelligent Systems and Technology, Vol. 10, No. 1, pp. 7:1-7:22, 2019.

Zichun Zhong, Bruno Levy, Wenping Wang, Jing Hua, and Xiaohu Guo, "Computing a High-Dimensional Euclidean Embedding from an Arbitrary Smooth Riemannian Metric," ACM Transactions on Graphics (SIGGRAPH '18), Vol. 37, No. 4, pp. 62:1-62:16, August 2018.

H. Wang, Y. Yan, J. Hua, Y. Yang, X. Wang, X. Li, J. Deller, G. Zhang, H. Bao, "Pedestrian Recognition in Multi-camera Networks Using Multilevel Important Salient Feature and Multicategory Incremental Learning," Pattern Recognition, Vol. 67, pp. 340-352, 2017.

Jiaxi Hu, Nasim Hajar, Zichun Zhong and Jing Hua, "Visualizing Shape Deformations with Variation of Geometric Spectrum," IEEE Transactions on Visualization and Computer Graphics (IEEE VIS '16), Vol. 23, 2016.

Jiaxi Hu, Guangyu Zou, and Jing Hua, "Volume-Preserving Mapping and Registration for Collective Data Visualization," IEEE Transactions on Visualization and Computer Graphics (IEEE VIS '14), Vol. 20, No. 6, 2014.

Vahid Taimouri and Jing Hua, "Visualization of Shape Motions in Shape Space," IEEE Transactions on Visualization and Computer Graphics (IEEE VIS '13), Vol. 19, No. 6, 2013.

Guangyu Zou, Jiaxi Hu, Xianfeng Gu, and Jing Hua, "Authalic Parameterization of General Surfaces Using Lie Advection," IEEE Transactions on Visualization and Computer Graphics (IEEE VIS '11), Vol. 17, No. 6, 2011.

Vahid Taimouri, Xin Liu, Zhaoqiang Lai, Chang Liu, Darshan Pai, and Jing Hua, "Colon Segmentation for Prepless Virtual Colonoscopy," IEEE Transactions on Information Technology in Biomedicine, Vol. 15, 2011.

Darshan Pai, Hamid Soltanian-Zadeh, and Jing Hua, "Evaluation of Fiber Bundles across Subjects through Brain Mapping and Registration of Diffusion Tensor Data," NeuroImage, Vol. 54, pp. S165-S175, 2011.

Cui Lin, Darshan Pai, Shiyong Lu, Otto Muzik, and Jing Hua, "Coclustering for Cross-subject Fiber Tract Analysis through Diffusion Tensor Imaging," IEEE Transactions on Information Technology in Biomedicine, Vol. 14, No. 2, pp. 514 - 525, 2010.

Zhaoqiang Lai, Jiaxi Hu, Chang Liu, Vahid Taimouri, Darshan Pai, Jiong Zhu, Jianrong Xu, and Jing Hua, "Intra-patient Supine-Prone Colon Registration in CT Colonography Using Shape Spectrum," In Proceedings of the 13th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '10), 2010 (Oral; Acceptance Rate: 5%)

Guangyu Zou, Jing Hua, Zhaoqiang Lai, Xianfeng Gu, and Ming Dong, "Intrinsic Geometric Scale Space by Shape Diffusion," IEEE Transactions on Visualization and Computer Graphics (IEEE VIS '09), Vol. 15, No. 6, pp. 1193 - 1200, 2009.

Yanhua Chen, Lijun Wang, Ming Dong, and Jing Hua, "Exemplar-based Visualization of Large Document Corpus," IEEE Transactions on Visualization and Computer Graphics (IEEE VIS '09), Vol. 15, No. 6, pp. 1169 - 1176, 2009.

Yuanhong Li, Ming Dong, and Jing Hua, "Simultaneous Localized Feature Selection and Model Detection for Gaussian Mixtures," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, No. 5, pp. 953 - 960, 2009.

Wei Zeng, Jing Hua, and Xianfeng Gu, "Symmetric Conformal Mapping for Surface Matching and Registration," International Journal of CAD/CAM, Vol. 9, No. 1, pp. 103-109, 2009 (Won the Gaheon Award, the BEST PAPER of IJCC 2009).

Manjeet Rege, Ming Dong, and Jing Hua, "Graph Theoretical Framework for Simultaneously Integrating Visual and Textural Features for Efficient Web Image Clustering," In Proceedings of the 17th International World Wide Web Conference (WWW '08), pp. 317-326, 2008.

Jing Hua, Zhaoqiang Lai, Ming Dong, Xianfeng Gu, and Hong Qin. "Geodesic Distance-Weighted Shape Vector Image Diffusion," IEEE Transactions on Visualization and Computer Graphics (IEEE VIS '08), Vol. 14, No. 6, pp. 1643 - 1650, 2008.

Yanhua Chen, Manjeet Rege, Ming Dong, and Jing Hua, "Nonnegative Matrix Factorization for Semi-supervised Data Clustering," Knowledge and Information System, Vol. 15, 2008 (invited as one of the best papers at ICDM '07)

Manjeet Rege, Ming Dong, and Jing Hua, "Clustering Web Images with Multimodal Features," In Proceedings of ACM Multimedia (ACM MM '07), pp. 317-320, 2007.

Changbo Yang, Ming Dong, and Jing Hua. Region-Based Image Annotation Using Asymmetrical Support Vector Machine-Based Multiple-Instance Learning. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR '06), pp. 2057 - 2063, New York, NY, 2006.

Jing Hua, Ying He, and Hong Qin. Trivariate Simplex Splines for Inhomogeneous Solid Modeling in Engineering Design. ASME Transactions: Journal of Computing and Information Science in Engineering, Vol. 5, No. 2, pp. 149 - 157, 2005. (won the BEST PAPER AWARD at ACM SM '04)

Jing Hua and Hong Qin. Haptics-based Dynamic Implicit Solid Modeling. IEEE Transactions on Visualization and Computer Graphics, Vol. 10, No. 5, pp. 574 - 586, 2004.