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
Dive into the research topics where Zheng LU is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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-Ningbo Municipal Government Funded Projects
-
Medical chief complaint classification with hierarchical structure of label descriptions
Zhang, Z., Lu, Z., Liu, J. & Bai, R., 15 Oct 2024, In: Expert Systems with Applications. 252, 123938.Research output: Journal Publication › Article › peer-review
-
MITER: Medical Image–TExt joint adaptive pretRaining with multi-level contrastive learning
Shu, C., Zhu, Y., Tang, X., Xiao, J., Chen, Y., Li, X., Zhang, Q. & Lu, Z., 15 Mar 2024, In: Expert Systems with Applications. 238, 121526.Research output: Journal Publication › Article › peer-review
Open Access6 Citations (Scopus) -
Seat belt detection using gated Bi-LSTM with part-to-whole attention on diagonally sampled patches
Gu, X., Lu, Z., Ren, J. & Zhang, Q., 15 Oct 2024, In: Expert Systems with Applications. 252, Part A, 123784.Research output: Journal Publication › Article › peer-review
2 Citations (Scopus) -
Analytics and machine learning in vehicle routing research
Bai, R., Chen, X., Chen, Z.-L., Cui, T., Gong, S., He, W., Jiang, X., Jin, H., Jin, J., Kendall, G., Li, J., Lu, Z., Ren, J., Weng, P., Xue, N. & Zhang, H., Jan 2023, (Published Online) In: International Journal of Production Research. 61, 1, p. 4-30Research output: Journal Publication › Article › peer-review
49 Citations (Scopus) -
Improving Visual-Semantic Embedding with Adaptive Pooling and Optimization Objective
Zhang, Z., Shu, C., Xiao, Y., Shen, Y., Zhu, D., Xiao, J., Chen, Y., Lau, J. H., Zhang, Q. & Lu, Z., 2023, EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 1209-1221 13 p. (EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference).Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review