Home
Research
Publications
Teaching
Activities
Links

Dr. Jing Hua is a Professor and the founding director of Computer Graphics and Imaging Lab (CGI) 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 Institute of Automation, Chinese Academy of Sciences in Beijing, China and his B.S. degree (1996) in Electrical Engineering from 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 area of Visual Computing including Computer Graphics and Visualization, Computer Vision, 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, General Motors, Ford Motor Company, and WSU. He served as a Conference Chair for the Shape Modeling International (2024), an Editorial Board Member for many journals as well as a Program Committee Member for many international conferences.

Research Areas

    Graduate students who are interested in the aforementioned research areas may contact Professor Jing Hua directly. Financial supports are available for qualified students.

selected recent publications (Click here for the full publication list)

1. H. Li, H. Zhu, S. Zhong, N. Wang, C. Lin, X. Guo, S. Xin, W. Wang, J. Hua, and Z. Zhong, "NASM: Neural Anisotropic Surface Meshing," In SIGGRAPH Asia Conference, 2024.

2. Guoli Yan, Zichun Zhong, and Jing Hua, "Self-Supervised 3D Human Mesh Recovery from a Single Image with Uncertainty-Aware Learning," In Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI '24), 2024.

3. Nazmul Karim*, Hasan Iqbal*, Umar Khalid, Chen Chen, and Jing Hua, "Free-Editor: Zero-shot Text-driven 3D Scene Editing, " In Proceedings of European Conference on Computer Vision (ECCV '24), 2024. (*Equal contribution)

4. Umar Khalid*, Hasan Iqbal*, Nazmul Karim, Muhammad Tayyab, Jing Hua, and Chen Chen, "LatentEditor: Text Driven Local Editing of 3D Scenes, " In Proceedings of European Conference on Computer Vision (ECCV '24), 2024. (*Equal contribution)

5. Umar Khalid*, Hasan Iqbal*, Azib Farooq, Jing Hua, and Chen Chen, "3DEgo: 3D Editing on the Go!" In Proceedings of European Conference on Computer Vision (ECCV '24), 2024. (*Equal contribution)

6. Sijia Jiang, Jing Hua, and Zhizhong Han, "Coordinate Quantized Neural Implicit Representations for Multi-view Reconstruction," In Proceedings of International Conference on Computer Vision (ICCV '23), 2023.

7. Umar Khalid, Hasan Iqbal, Saeed Vahidian, Jing Hua, and Chen Chen, "CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot Interaction," In Proceedings of IEEE/RSJ International Conference on Intelligent Robots (IROS '23), 2023.

8. Artem Komarichev, Jing Hua, and Zichun Zhong, "Learning Geometry-Aware Joint Latent Space for Simultaneous Multimodal Shape Generation," Computer-Aided Geometric Design, Vol. 93, 2022.

9. 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, pp. 1301 - 1311, 2021.

10. 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 '20), pp. 4309 - 4317, 2020.

11. 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.

12. 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.

13. 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), pp. 7421 - 7430, 2019.

14. 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.

15. 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.

16. 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.

17. 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, No. 1, pp. 721 - 730, 2017.

18. Zichun Zhong and Jing Hua, "Kernel-Based Adaptive Sampling for Image Reconstruction and Meshing," Computer-Aided Geometric Design (GMP '16), Vol. 43, Pages 68 - 81, 2016.

19. Xuejiao Chen, Jiaxi Hu, Huiguang He, and Jing Hua, "Spherical Volume-Preserving Demons Registration," Computer-Aided Design (SPM '14), Vol. 58, pp. 99-104, 2015.

20. 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. 12, pp. 2664 - 2673, 2014.

21. 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. 12, pp. 2644 - 2652, 2013.

22. 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.

23. 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, No. 5, 2011.

24. 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.

25. 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.

26. 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%)

27. 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.

28. 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.

29. 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.

30. 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).

31. 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.

32. 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.

33. 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)

34. 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.

35. 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.

36. 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)

37. 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.

Externally funded research projects

• NSF, AI-Powered Processor for Next-Generation Imaging Data.

• GM,   Automatic Large Scale 3D Reconstruction

• NSF, Shape-Image-Text: A Data-Driven Joint Embedding Framework for Representing and Analyzing Large-Scale Data.

• NIH, Automatic Quantification and Labeling of Cerebral Microbleeds, Oxygen Saturation and Sources of Abnormal Susceptibility.

• NIH, The Next Generation of Vascular Imaging Using Contrast-Enhanced MICRO MRI.

• NSF, High-Dimensional Euclidean Embedding.

• NSF, Predictable Wireless Networked Collaborative 3D Reconstruction for Real-Time Augmented Vision.

• NSF-GENI, GENI-Enabled Vehicular Sensing and Control Networking: from Experiments to Applications.

• NSF, Coordinated Visualization for Comparative Analysis of Cross-subject, Multi-measure, Multi-dimensional Imaging Data.

• NSF, Geometric Mapping and Diffusion for 3D Imaging Informatics.

• NIH, Electrical, Molecular and Clinical Correlates of Human Interictal Spiking (R01).

• NIH, Longitudinal Neuroimaging in Sturge-Weber Syndrome (R01).

• Ford, An Immersive, Interactive Visualization Environment for Large-scale Data and Visual Analytics. Ford Motor Company.

• NSF, CRI: IAD: Acquisition of Research Infrastructure for Knowledge-enhanced, Large-scale Learning of Multimodality Visual Data.

• NSF, Integrated Modeling and Learning of Multimodality Data across Subjects for Brain Disorder Study.

• State of Michigan, HyperEye: Susceptibility Weighted Imaging-based Informatics Tools for Brain Tumor Studies. Michigan 21^st Century Jobs Funds.

• State of Michigan, Software Tool for Neuroimaging in Epilepsy. Michigan Technology Tri-Corridor.

• State of Michigan, Virtual Histology with Volumetric Computerized Tomography. Michigan Technology Tri-Corridor.

awards

    Best Demo Award at GENI Engineering Conference 23 in 2015

    Best Demo Award at GENI Engineering Conference 21 in 2014

    First Runner-up Demo Award at GENI Engineering Conference 20 in 2014.

    K. C. Wong Research Award in 2010

    Gaheon Award for the Best Paper of International Journal of CAD/CAM in 2009

    College of Liberal Arts and Sciences Excellence in Teaching Award in 2008

    WSU Faculty Research Award in 2005

    Best Paper Award at ACM Solid Modeling 2004

Teaching

CSC5870 Computer Graphics I, Fall 2004 | Fall 2005 | Fall 2006 | Fall 2007 | Fall 2008 | Fall 2009 | Fall 20011 | Fall 2013

CSC6870 Computer Graphics II, Winter 2005 | Winter 2006 | Winter 2007 | Winter 2008 | Winter 2009 | Winter 2010 | Winter 2012 | Winter 2014

CSC5991 Interactive Data Visualization, Winter 2008

CSC7991 Advanced Visual Computing, Winter 2007 | Winter 2009 | Winter 2012 | Winter 2013 | Winter 2014

Current Graduate Students, POST-DOCS and VISITING SCHOLARS

Guoli Yan

Tong Wu

Sijia Jiang

Hasan Iqbal

Students Graduated, POST-DOCS AND VISITING SCHOLARS

Hajar Hamidian, Ph.D., 3D Surface Registration with Geometric Spectrum of Shapes, April 2019.

Hai Jin, Ph.D., 3D Face Reconstruction and Emotion Analytics with Part-based Morphable Models, February 2018 (Toyota Research Institute, Autonomous Driving)

Fujiang Ao, Visiting Scholar, 2017 (Henan University of Science and Technology)

Huaiwei Cong, Visiting Ph.D. student, 2017

Yuanfeng Lian, Visiting Scholar, 2016-2017 (China University of Petroleum)

Jiaxi Hu, Ph.D., "Shape Analysis Using Spectrum Geometry," January 2015 (Google)

Jie Jiang, Visiting Scholar, 2013-2014

Darshan Pai, Ph.D., "Visual Exploration and Information Analytics of High-Dimensional Medical Images," February 2013 (GE Healthcare).

Zhaohui Cai, Visiting Scholar, 2011-2012 (Wuhan University, China).

Vahid Taimouri, Ph.D., "Shape Analysis in Shape Space," January 2012 (Research Fellow at Harvard University).

Chang Liu, Ph.D., "Deformable Meshes for Shape Recovery: Models and Applications," September 2011 (Henry Ford Health System).

Zhaoqiang Lai, Ph.D., "Multi-scale and Multi-spectral Shape Analysis: From 2D to 3D," August 2011 (Gamma Technologies, Inc).

Wei Zeng, Post-Doc, 2010 (Tenure-track Assistant Professor at Florida International University).

Cui Lin, Ph.D., "Data and Services Integration in Scientific Workflows," July 2010 (co-advising) (Tenure-track Assistant Professor at California State University).

Yunhao Tan, Ph.D., "Dynamic Multivariate Simplex Splines for Volume Representation and Modeling," May 2010 (Microsoft).

Guangyu Zou, Ph.D., "Multiscale Geometry Constrained Shape Diffeomorphism," November 2008 (General Motors Research).

Shaofeng Shu, M.S., "3D SLAM with Monocular Camera in Highly Dynamic Environment," December 2018.

Xinyu Zhang, M.S., "Face Tracking and Animation with Single Camera," June 2015 (Sony Computer Entertainment America).

Xiaodong Jiang, M.S., "Accurate Real-time Full Body Reconstruction with Single Depth Camera," June 2013 (AET Integration).

George Liang, M.S., "Visual Analytics in Diffusion Tensor Imaging," August 2006 (Ph.D. study at University of Kentucky).

Danqing Wu, M.S., "Constrained Conformal Surface Mapping and Registration," August 2007 (Autodesk, Inc.).

Neha Chandila, M.S., "Constraint Based Region Growing with Local Shape Fitting," August, 2007. (Senior IT Consultant at the PMA Consultants).

Directed Undergraduate Students' Projects

Martin Alther, "Virtual Prototype Modeling and Simulation of a Real-World Environment", 2007.

Gus Nassar, "Algorithms for Dynamic Rainbow Effect Removal in Videos", 2005.

Professional Activities

NSF Panelist and Reviewer

Keynote Speaker, ChinaVR' 2010.

Editorial Board Member of The Open Virtual Reality Journal, 2008 - 2014

Editorial Board Member of International Journal of Technology Enhanced Learning, 2007 -

Editorial Board Member of Scientific Journals International, 2008 - 2016

Editorial Board Member of Journal of Digital Culture, 2008 -

Editorial Board Member of ISRN Computer Graphics, 2011~2013

Shape Modeling International (SMI) Council, 2024 -

Conference Chair of SMI 2024

Porgram Chair of ICSSC 2015

Chair of ICMLA BIGDATA Program ICMLA 14

Session Chair of CGI 2013

Session Chair of ICME 2007

Program Committee Member of SIGGRAPH 25

Program Committee Member of ISVC 24 | BioImaging 24

Program Committee Member of ISVC 23 | BioImaging 23

Program Committee Member of IEEE VIS 22 | ISVC 22 | BioImaging 22

Program Committee Member of IEEE VIS 21 | ISVC 21

Program Committee Member of IEEE VIS 20 | ISVC 20 | BioImaging 20

Program Committee Member of BioImaging 19

Program Committee Member of BioImaging 18

Program Committee Member of IEEE VIS 17 | GMP 17 | BioImaging 17

Program Committee Member of IEEE VIS 16 | GMP 16 | BioImaging 16

Program Committee Member of IEEE VIS 15 | GMP 15 | BioImaging 15

Program Committee Member of IEEE VIS 14 | GMP 14 | MSI 14 | BioImaging 14

Program Committee Member of IVIC 13 | BioImaging 13

Program Committee Member of PG 12 | ASM 12 |  ICALIP 12 | SIBGRAPI 2012

Program Committee Member of PG 11 | SIBGRAPI 11

Program Committee Member of PG 10 | SMI 10 | ICALIP10

Program Committee Member of PG 09 | SMI 09 | ASM 09

Program Committee Member of CASA 08 | SMI 08 | ASM 08 | HAID 08

Program Committee Member of IEEE HAVE 07 | CAD/Graphics 07 | ASM 07 | ISCAMP 07 | SIBGRAPI 07 | SWF 07

Program Committee Member of SIBGRAPI 06

Program Committee Member of SIBGRAPI 05 | IEEE Volume Graphics 05

Referee for many journals including IEEE PAMI, IEEE TVCG, ACM TOG, IEEE CGA, CAD, ACM TOC, IEEE Multimedia, JCISE, IEEE TASE, Springer Virtual Reality Journal, IJCGA, PAA, etc., and conferences including CVPR, ICCV, SIGGRAPH, IEEE Visualization, ACM SPM, Eurographics, Pacific Graphics, IEEE VR, ASME IDETC, IEEE Computer Animation, IEEE Volume Graphics, MICCAI, etc.