荣誉及奖励

Outstanding Contribution Award, IEEE Global Reliability & Prognostics and Health Management Conference, 2023
华为上海研究所2020年优秀技术成果奖（2021），《可靠性分析核心算法（Weibull）技术》
上海市科学技术三等奖（2017），《几个非参数和半参数统计方法的提出与研究》，排名第三
华东师范大学研究生特等奖学金（1998）
上海市科学技术进步三等奖（1997），《序进应力加速寿命试验的统计分析及其在电子元器件上的应用》，排名第二
全国统计科学技术进步二等奖（1996），《序进应力加速寿命试验的统计分析及其在电子元器件上的应用》，排名第二
上海市统计科学研究成果课题类一等奖（1995），《序进应力加速寿命试验的统计分析及其在电子元器件上的应用》，排名第二

Best paper to Xiaofan Lin (Co-authored with Yincai Tang), for the paper entitled An Efficient PG-INLA Algorithm for Logistic Item Response Models Analysis, at the Second International Workshop on Statistical Theory and Related Fields, Tianjin, 2023.
Best paper award to Yudong Wang (Co-authored with Yincai Tang), for the paper entitled Statistical Analysis of Accelerated Temperature Cycling Test Based on Coffin-Manson Model, at the 8th Asia-Pacific International Symposium Advanced Reliability and Maintenance Modeling, Qingdao, 2018 (APARM2018) and 2018 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, Qingdao, 2018.
Best paper award to Yincai Tang (Co-authored with Pingping Wang), for a very significant contribution in the field of reliability and maintenance modeling entitled Bayesian Hierarchical Model for Detecting Change Point in Compound Poisson Process for Degradation Data, at the 7th Asia-Pacific International Symposium Advanced Reliability and Maintenance Modeling, Korea, 2016 (APARM2016).
Best paper award (Academia) to Pingping Wang (Co-authored with Yincai Tang, Suk Joo Bae, Yong He) in recognition of the outstanding paper entitled Bayesian Analysis of Two-phase Degradation Data Based on Change Point Wiener Process, at the Asia Pacific Conference of the Prognostics and Health Management Society, Korea, 2017 (APPHM2017).