Projects per year
Personal profile
Personal profile
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.
Expertise Summary
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
Teaching
Machine Learning
Computer Vision
Person Types
- Staff
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Projects
- 1 Finished
-
Internet+ Smart Triage Tool and its application in Ningbo Hospital
LU, Z. (PI)
1/12/18 → 30/11/21
Project: Government Funded Projects › Vertical-Municipal/Departmental Government (市厅局级) Funded Projects
-
CellMixer: Pathological image classification using dual-branch VMamba with randomly mixing gradient features data augmentation
Chai, E., Gu, X., Lu, Z. & Cui, T., 10 May 2026, In: Expert Systems with Applications. 310, 131298.Research output: Journal Publication › Article › peer-review
Open Access2 Link opens in a new tab Citations (Scopus) -
Fine-grained facial description generation with retrieval augmentation
Ye, K., Lu, Z., Shen, L. & Cui, T., 28 Aug 2026, In: Neurocomputing. 691, 133770.Research output: Journal Publication › Article › peer-review
-
Particle swarm optimization with complementary velocity learning scheme and multiple performance mechanisms: applications in power electronics
Hong, L., Dai, C., Cui, T., LU, Z. & Xue, N., 1 Jun 2026, In: Swarm and Evolutionary Computation. 106, 102410.Research output: Journal Publication › Article › peer-review
-
Rewarding fine-grained image captioning with keyword group contrastive
YE, K., LU, Z., Shen, L. & Cui, T., May 2026, In: Expert Systems with Applications. 312, 11 p., 131405.Research output: Journal Publication › Article › peer-review
-
A cascaded retrieval-while-reasoning multi-document comprehension framework with incremental attention for medical question answering
Liu, J., Ren, J., Bai, R., Zhang, Z. & Lu, Z., 15 Mar 2025, In: Expert Systems with Applications. 265, 125701.Research output: Journal Publication › Article › peer-review
4 Link opens in a new tab Citations (Scopus)