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
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Collaborations and top research areas from the last five years
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Projects
- 1 Finished
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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/Departmental Government (市厅局级) Funded Projects
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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
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Accelerating Convergence in Bounding Box Regression with a Refined IoU Loss Function
Chai, E., Li, X., Cui, T., Lu, Z. & Tesema, F. B., 2025, 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025 - Proceedings. Rao, B. D., Trancoso, I., Sharma, G. & Mehta, N. B. (eds.). Institute of Electrical and Electronics Engineers Inc., (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
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LLM4Netlist: LLM-enabled Step-based Netlist Generation from Natural Language Description
Ye, K., Yang, Q., Lu, Z., Yu, H., Cui, T., Bai, R. & Shen, L., May 2025, In: IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 15, 2, p. 337-348 12 p.Research output: Journal Publication › Article › peer-review
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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
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MergeTalk: Audio-Driven Talking Head Generation From Single Image With Feature Merge
Gao, J., Shu, C., Zheng, X., Lu, Z. & Bao, N., 2024, In: IEEE Signal Processing Letters. 31, p. 1850-1854 5 p.Research output: Journal Publication › Article › peer-review
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