Award and Talent Program
- The State Council Special Allowance, 2020
- The Jinjihu Science and Technology Talent of Suzhou Industry Park (entrepreneurship), 2020
- The Middle-aged and Young experts with Outstanding Contributions to the Nation, 2020
- The National Hundred, Thousand and Ten Thousand Talent Project, 2019
- “The 333 High-level Talent Program (Jiangsu Province)”, Second Level, 2018
- Best Paper Award: Yifan YANG, Jin MA, Haitao WANG, Zhengqiu HE, Wenliang CHEN, Min ZHANG. Attribute Complementation and Error Correction for Chinese Interpersonal Relationship Graph based on Personal Profile (In Chinese). China Conference on Knowledge Graph and Semantic Computing, Hangzhou, 24-27 August 2019
- The ShuangChuang Program of Jiangsu Province (Team): “The High-level Talent Program for Innovation and Entrepreneur” of Jiangsu Province (for Innovation, 2017)
- The Winner of China National Science Fund for Distinguished Young Scholar (2015)
- The ShuangChuang Program of Jiangsu Province (Individual): “The High-level Talent Program for Innovation and Entrepreneur” of Jiangsu Province (for Innovation, 2013)
- The 10th Edition of “The Talent Program of Six Disciplines” of Jiangsu Province (2013)
- The High-level Talent Program of Soochow, Suzhou (2015)
- Research Achiever, Institute for Infocomm Research, A-STAR, Singapore (2008)
- The 2nd Price of Science and Technology Progress Award at the Province and Ministry Level, issued by the Government of ZheJiang Province of China (Citation: The Technology and Platform of Multilingual Processing for E-commers, 2019)
- The 2nd Price of Science and Technology Progress Award at the Province and Ministry Level, issued by the State Aerospace Bureau of China (Citation: DaYa Translation Workstation, 1997)
- The 2nd Price of Science and Technology Progress Award at the Province and Ministry Level, issued by the State Aerospace Bureau of China (Citation: Chinese-English Machine Translation Technology and System (III), 1997)
- SemEval-2019 Evaluation: Cross-lingual Semantic Analysis (Task 1): among all 7 tracks, No. 1 in 6 tracks and No 2 in 1 track
- CCKS Evaluation: Knowledge-based Question & Answering, No. 2 and with technical renovation award
- Content Recognition Organized by Sohu: No 2 among 984 participants
- Evaluation of User Intention Recognition in customer service domain at CCL: No. 1