Zhangjin Huang (黄章进)

Ph.D., Associate Professor

 

School of Computer Science and Technology

University of Science and Technology of China (USTC)

Hefei, Anhui 230027, P.R. China

 

Dr. Zhangjin Huang received his BSc and PhD degrees from USTC in 1999 and 2005 respectively, under the supervision of Prof. Yuyu Feng and Prof. Falai Chen . From July 2005 to June 2008, he worked with Prof. Guoping Wang as a postdoc in the Laboratory of HCI & Multimedia at Peking University. From May 2010 to May 2011, he worked in Prof. Jorg Peters' SurfLab at University of Florida as a visiting scholar. He is currently an associate professor of the School of Computer Science & Technology at USTC.

招收优秀硕士研究生（推免/统考） 课题组简介

Research Interests

  • Computer Graphics
  • Computer Vision
  • Deep Learning

Projects

  • Computational Theory for Explicit/Implicit High Performance Simulation Analysis, National Key R&D Program of China (No. 2022YFB3303402).
  • Multi-Source Heterogeneous Seismic Data Fusion Based on Machine Learning, National Key R&D Program of China (No. 2018YFC1504104).
  • Efficient Algorithms in Isogeometric Analysis, Fundamental Research Fund for the Central Universities of China (No. WK0110000030).
  • Error Analysis and Modeling Techniques for Subdivision Surfaces, China Natural Science Foundation for the Youths (No. 60803066).
  • Intersection and Error Analysis in Subdivision Modeling, China Postdoctoral
    Science Foundation (No. 20060390359).

Teaching

  • CS05145 Advanced Computer Graphics
  • CS4011 Algorithmic Game Theory
  • 01116901 Computer Graphics and Image
  • 011S1401 C++ Programming
  • 01109601 Introduction to Operations Research

Awards

  • Best Paper Award, 2023 International Conference on Intelligent Computing (ICIC 2023), Zhengzhou, China, August 10-13, 2023.
  • Second Best Paper Award, 2007 ACM Symposium on Solid and Physical Modeling (ACM SPM'07), Beijing, China, June, 2007.
  • Best Paper Award,10th International Conference on Computer Aided Design and Computer Graphics (CAD/Graphics'07), Beijing, China, October, 2007.

Recent Publications (Full List)

  1. Zhi Zhou, Junke Zhu, Zhangjin Huang*. Gaussian Splatting With Neural Basis Extension. ACM Multimedia 2024, Melbourne, Australia, October 28 - November 1, 2024, accepted.

  2. Yixin Luo, Zhangjin Huang*, and Zhongkui Bao. Adapting Depth Distribution for 3D Object Detection with a Two-Stage Training Paradigm. 2024 International Conference on Intelligent Computing (ICIC 2024), Tianjin, China, August 5-8, 2024, accepted.

  3. Yixin Luo, Zhangjin Huang*, and Xudong Huang. Improving Dynamic 3D Gaussian Splatting from Monocular Videos with Object Motion Information. 2024 International Conference on Intelligent Computing (ICIC 2024), Tianjin, China, August 5-8, 2024, accepted.

  4. Xuewen Yan, Zhangjin Huang*. FSNet: A dual-domain network for few-shot image classification. Displays, 84: Article 102795, 2024.

  5. Xuewen Yan, Zhangjin Huang*. Few-shot image classification method based on contrast learning. Journal of Computer Applications, 2024. (in Chinese)

  6. Zhangjin Huang*, Xin Wu. PR3D:Precise and realistic 3D face reconstruction from a single image. Computer Animation and Virtual Worlds, 35(3): e2254, 2024.

  7. Lu Zou, Zhangjin Huang*, Naijie Gu, and Guoping Wang. GPT-COPE: A Graph-Guided Point Transformer for Category-Level Object Pose Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 34(4): 2385-2398, 2024.

  8. Zaka-Ud-Din Muhammad, Usman Muhammad, Zhangjin Huang*, and Naijie Gu. MMFIL-Net: Multi-level and multi-source feature interactive lightweight network for polyp segmentation. Displays, 81: Article 102600, 2024.

  9. Lu Zou, Zhangjin Huang*, Naijie Gu, and Guoping Wang. Learning Geometric Consistency and Discrepancy for Category-Level 6D Object Pose Estimation from Point Clouds. Pattern Recognition, 145: 109896, 2024.

  10. Yanhui Sun and Zhangjin Huang*. StrongOC-SORT: Make Observation-Centric SORT More Robust. 18th International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics 2023), Lecture Notes in Computer Science, vol 14250, pp 108-122, Shanghai, China, August 19-21, 2023.

  11. Zaka-Ud-Din Muhammad, Zhangjin Huang*, Naijie Gu, and Usman Muhammad. DCANet: deep context attention network for automatic polyp segmentation. The Visual Computer, 39(11): 5513-5525, 2023.

  12. Zhangjin Huang. A Surface Subdivision Scheme Based on Four-Directional S13 Non-Box Splines. Computer Graphics Forum, 42(7): e14933, 2023.

  13. Lu Zou, Zhangjin Huang*, Naijie Gu, and Guoping Wang. MSSPA-GC: MultiScale Shape Prior Adaptation with 3D Graph Convolutions for Category-Level Object Pose Estimation. Neural Networks, 166: 609-621, 2023.

  14. Jin Yuan, Zhangjin Huang*, Dongyan Zhang, Xue Yang, and Chunyan Gu. SporeDet: A Real-Time Detection of Wheat Scab Spores. 2023 International Conference on Intelligent Computing (ICIC 2023), pp 531-543, Zhengzhou, China, August 10-13, 2023. (Best Paper Award of ICIC 2023)

  15. Fangjun Wang, Zhouwang Yang, Zhangjin Huang, and Yanzhi Song*. A multiple position-based bi-branch model for structural defect inspection. Journal of Intelligent Manufacturing, 34(4): 1601-1614, 2023.

  16. Diponkor Bala, Md. Shamim Hossain, Mohammad Alamgir Hossain, Md. Ibrahim Abdullah, Md. Mizanur Rahman, Balachandran Manavalan, Naijie Gu, Mohammad S. Islam*, Zhangjin Huang*. MonkeyNet: A robust deep convolutional neural network for monkeypox disease detection and classification. Neural Networks, 161: 757-775, 2023.

  17. Qianqian Yu, Zhangjin Huang and Naijie Gu*. Pseudocode to Code Based on Adaptive Global and Local Information. 30th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2023), pp. 61-72, Macao SAR, China, March 21-24, 2023.

  18. Meng ZHOU, Zhangjin HUANG*. Focal stack depth estimation method based on defocus blur. Journal of Computer Applications, 2023, 43(9): 2897-2903. (in Chinese)

  19. Zhuangzhuang Gao, and Zhangjin Huang*. Global-View Re-identification Tracking with Transformer, Second CAAI International Conference on Artificial Intelligence (CICAI 2022), Lecture Notes in Artificial Intelligence, vol 13604, pp 622-633, Beijing, China, August 27-28, 2022.

  20. Lu Zou, Zhangjin Huang*, Naijie Gu, and Guoping Wang. 6D-ViT: Category-Level 6D Object Pose Estimation via Transformer-Based Instance Representation Learning, IEEE Transactions on Image Processing, 31: 6907-6921, 2022.

  21. Zaka-Ud-Din Muhammad, Zhangjin Huang*, and Rashid Khan. A review of 3D human body pose estimation and mesh recovery, Digital Signal Processing, 128: 103628, 2022.

  22. Fangjun Wang, Yanzhi Song, Zhangjin Huang*, and Zhouwang Yang. Vectorized instance segmentation using periodic B-splines based on cascade architecture, Computers & Graphics, 102: 592-600, 2022.

  23. JingJing LI, ZhangJin HUANG*, Lu ZOU. Motion-Guided Graph Convolutional Network for Human Action Recognition. Journal of Computer-Aided Design & Computer Graphics, 2022. (in Chinese)

  24. Xuezhen Dong, Zhangjin Huang*, Lu Zou, Fangjun Wang and Zonghui Zhang. LSNT: A Lightweight Siamese Network based Tracker, 11th International Conference on Image and Graphics (ICIG 2021), Lecture Notes in Computer Science, vol 12890, pp 635-646, Haikou, China, August 6–8, 2021.

  25. Lu Zou, Zhangjin Huang*, and Naijie Gu. 6D Object Pose Estimation with Mutual Attention Fusion, 11th International Conference on Image and Graphics (ICIG 2021), Lecture Notes in Computer Science, vol 12889, pp 301-313, Haikou, China, August 6–8, 2021.

  26. Meng Zhou, Jin Yuan, Zhuangzhuang Gao, and Zhangjin Huang*. Drill Pipe Counting Method Based on Local Dense Optical Flow Estimation,1th International Conference on Image and Graphics (ICIG 2021), Lecture Notes in Computer Science, vol 12888, pp 443-454, Haikou, China, August 6–8, 2021.

  27. Zonghui Zhang, Zhangjin Huang*, and Lu Zou. Neighborhood Search Acceleration based on Deep Reinforcement Learning for SSCFLP, CAAI International Conference on Artificial Intelligence (CICAI 2021), Lecture Notes in Artificial Intelligence, vol 13069, pp 202-212, Hangzhou, China, June 5–6, 2021.

  28. Yudong Guo, Juyong Zhang*, Yihua Chen, Hongrui Cai, Zhangjin Huang, and Bailin Deng. Real-time face view correction for front-facing cameras, Computational Visual Media, 7(4): 437–452, 2021.

  29. Lu Zou, Zhangjin Huang*, Fangjun Wang, Zhouwang Yang, Guoping Wang. CMA: Cross-Modal Attention for 6D Object Pose Estimation, Computers & Graphics, 97: 139-147, 2021.

  30. Zhang-Jin Huang*, Xiang-Xiang He, Fang-Jun Wang, Qing Shen. A Real-Time Multi-Stage Architecture for Pose Estimation of Zebrafish Head with Convolutional Neural Networks. Journal of Computer Science and Technology, 36, 434-444, 2021.

  31. Lu Zou, Zhangjin Huang*, Naijie Gu, Fangjun Wang, Zhouwang Yang, Guoping Wang. GMDN: A lightweight graph-based mixture density network for 3D human pose regression, Computers & Graphics, 95: 115-122, 2021.

  

Lab: Room 520, Electronic-3 Building, West Campus, USTC

(西区电三楼520)

 

 
 

Last update : 07/20/2024