Ji Wu

Ji Wu, PhD

Professor, Tsinghua University

Office: Rohm Building, Room 8-301


PhD, Electronic Engineering, Tsinghua University (2001)
BS, Electronic Engineering, Tsinghua University (1996)

Research Interests

Wu Ji is the director of the Multimedia Signal and Intelligent Information Processing Lab (MSIIP). Since 2013, a lot of research work has been done in the field of smart healthcare, such as oral removable partial denture, oral X-ray root tip, maxillofacial tumor neck diffusion nondestructive testing, breast cancer detection and so on. In 2017, the Smart Medical Assistant, a medical examination robot jointly developed by Tsinghua University and iFLYTEK, became the first artificial intelligence robot passing the comprehensive written examination for the national medical practitioner qualification in China and even the world with an excellent score exceeding the qualification line by 96 marks. The robot fully demonstrates the important progress made by the MSIIP Lab in knowledge representation and knowledge reasoning.


Yu Hao, Xien Liu, Ji Wu et al. Exploiting Sentence Embedding for Medical Question Answering,AAAI 2019(Accept rate: 16.2%)

Wu J, Liu X, Zhang X, et al. Master clinical medical knowledge at certificated-doctor-level with deep learning model[J]. Nature communications, 2018, 9(1): 4352.

Xiao, Z.; Ji, W.; Zhiyang, H.; Xien, L.; Ying, S. 2017. Medical Exam Question Answering with Large-scale Reading Comprehension. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 5706-5713 (Accept rate: 24.6%)

Dong F, Tao C, Wu J, et al. Detection of cervical lymph node metastasis from oral cavity cancer using a non-radiating, noninvasive digital infrared thermal imaging system[J]. Scientific reports, 2018, 8(1): 7219.

He Z, Liu X, Lv P, et al. Hidden Softmax Sequence Model for Dialogue Structure Analysis[J]. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, pages 2063–2072

Qingxiao Chen, Ji Wu, Shusen Li, Peijun Lyu, Yong Wang, Miao Li. An ontology-driven, case-based clinical decision support model for removable partial denture design. Scientific Reports, 14 June 2016, Vol.6.