Assistant Professor (Lecturer)
Computer Science / Faculty of Science and Engineering
Room 426, Sir Peter Mansfield Building
University of Nottingham Ningbo China
199 Taikang East Road, Ningbo, 315100, China
+86 (0)574 88180000 (ext. 8713)
PhD in Computer Science, National University of Singapore, 2011
Bachelor in Computer Science, National University of Singapore, 2004
Dr. LU Zheng joins UNNC as an Assistant Professor in 2017 after his assistant professorship at the City University of Hong Kong since 2013. Before working as a university faculty member, He was a Postdoctoral Research Fellow at University of Texas at Austin. He was an intern at Microsoft Research Asia from 2009 to 2010. He also worked as a Research Assistant under various research projects during his PhD candidature. He was a software engineer at Fuji Xerox Singapore Software Center from 2004 to 2006.
Dr. LU Zheng’s research work has been published in top international journals and conferences with hundreds of citations. Applications of his work has been reported by various media such as Wall Street Journal, Xinhua news, Straight Times, Daily Science, etc. He also serves regularly as program committee member and reviewer of top journals and conferences in the area of computer vision, image processing, multimedia, etc.
Dr LU Zheng’s current research interests include computer vision, image processing and machine learning, specially:
- Applied computer vision for eHeritage
- Egocentric video analysis
- Object/action recognition and visual discovery
- Big data analytics
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Refereed Journal Paper
1. Liang Chen, Ruimin Hu, Zhen Han, Qing Li, Zheng Lu. Face Super Resolution Based on Parent Patch Prior for VLQ Scenarios. Multimedia Tools and Applications (MTA), May 2016.
2. Zhenguo Yang, Qing Li, Zheng Lu, Yun Ma, Zhiguo Gong, Haiwei Pan. Semisupervised Multimodal Fusion Model for Social Event Detection on Web Image Collections. International Journal of Multimedia Data Engineering and Management (IJMDEM).
3. Meng Wang, Guangda, Li, Zheng Lu, Yue Gao, Tat-Seng Chua. When Amazon Meets Google: Product Visualization by Exploring Multiple Web Sources. ACM Transactions on Internet and Technology (TOIT), 12(4), Jul 2013.
4. Zheng Lu, Yu-Wing Tai, Fanbo Deng, Moshe Ben-Ezra, Michael S. Brown. A 3D Imaging Framework Based on High-Resolution Photometric-Stereo and Low-Resolution Depth. International Journal of Computer vision (IJCV), 102(1-3), Mar 2013.
5. Seon Joo Kim, Hai-Ting Lin, Zheng Lu, Sabine Susstrunk, Steven Lin, Michael S. Brown. A New In-Camera Imaging Model for Color Computer Vision and its Application. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 34(12), Dec 2012.
6. Guangda Li, Meng Wang, Zheng Lu, Tat-Seng Chua, Richang Hong. In-Video Product Annotation with Web Information Mining. ACM Transactions on Multimedia Computing, Communications and Applications (TOMCCAP), 8(4), Nov 2012.
7. Zheng Lu, Wei Luo, Zhijun Sun, Moshe Ben-Ezra, Michael S. Brown. Imaging Buddhist Art with a Digital Large-Format Camera: A Field Study Report from the Dunhuang Caves. ACM Journal on Computing and Cultural Heritage (JOCCH), 5(3), Oct 2012.
8. Matthew R. Amans, George Shih, Zheng Lu, Cliﬀ Yeh, Michael S. Brown. Wiimote Viewer Enhances Resident Case Conferences. Journal of the American College of Radiology (JACR), 7(10), Oct 2010.
Recent papers at Conferences, Workshops & Seminars Conference Papers
1. Na Liu, Hock-Hai Teo, Zheng Lu, Yu Tong. Social Support Seeking in Patientcentric Online Healthcare Communities. The Institute for Operations Research and the Management Sciences (INFORMS), 2016.
2. Liang Chen, Ruimin Hu, Zheng Lu, Qing Li, Zhen Han, Zhongyuan Wang. Face Super Resolution for VLQ Facial Images via Parent Patch Matching. IEEE International Joint Conference on Neural Networks (IJCNN), Oral, 2016.
3. Yun Ma, Zhenguo Yang, Zheng Lu, Haiwei Pan, Antoni B. Chan. An SVD-based Multimodal Clustering method for Social Event Detection. IEEE International Conference on Data Engineering workshops (ICDE), 2015.
4. Zhenguo Yang, Qing Li, Zheng Lu, Yun Ma, Zhiguo Gong, Haiwei Pan. Semisupervised Multimodal Clustering Algorithm Integrating Label Signals for Social Event Detection. IEEE Conference on Multimedia Big Data (BigMM), 2015.
5. Zheng Lu, Kristen Grauman. Story-Driven Summarization for Egocentric Video. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
6. Hai-ting Lin, Zheng Lu, Seon Joo Kim, Michael S. Brown. Nonuniform Lattice Regression for Modeling the Camera Imaging Pipeline. European Conference on Computer Vision (ECCV), 2012.
7. Wei Luo*, Zheng Lu*, Ying-Qing Xu, Xianggang Wang, Moshe Ben-Ezra, Michael S. Brown. Synthesizing Oil Painting Surface Geometry from a Single Photograph. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012. (* indicates equal contribution).
8. Jun Hu, Guangda Li, Zheng Lu, Jun Xiao, Richang Hong. Videoader: a Video Advertising System Based on Intelligent Analysis of Visual Content. ACM International Conference on Internet Multimedia Computing and Service (ICIMCS), 2011.
9. Fanbo Deng, Zheng Wu, Zheng Lu, Michael S. Brown. A User-Assisted Software Suite for Converting Old Documents to Black-And-White. Joint Conference on Digital Libraries (JCDL), 2010.
10. Zheng Lu, Yu-Wing Tai, Moshe Ben-Ezra, Michael S. Brown. A Framework for Ultra High Resolution 3D Imaging. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.
11. Zheng Lu, Zheng Wu, Michael S. Brown. Interactive Degraded Document Binarization: An Example (and Case) for Interactive Computer Vision. IEEE Workshop on Application of Computer Vision (WACV), Oral, 2009.
12. Zheng Lu, Zheng Wu, Michael S. Brown. Directed Assistance for Ink-Bleed Reduction in Old Documents. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.