English version: Xinliang (Frederick) Zhang is a Ph.D. student in Computer Science and Engineering of Electrical Engineering and Computer Science Department at University of Michigan. He obtained dual B.S. from the Ohio State University in Computer Science & Engineering, Industrial & Systems Engineering and Math (Minor) in 2021. He also obtained a B.Eng. from Sichuan University in Industrial Engineering. He was a research scientist intern at Adobe Research (2024) and Bloomberg AI (2023). His research interests lie in the fields of Natural Language Processing (NLP), Deep Learning, Machine Learning and Computational Social Science. Specifically, he has been working on Structual Learning, Event-Centric Understanding, Temporal Reasoning, Information Extraction, Large Language Models, Natural Language Inference, Information Retrieval and Question Generation, as well as NLP applications for social science and healthcare (Clinical NLP). He has authored 10+ papers published at top-tier NLP conferences such as ACL, EMNLP and NAACL, and won Best Paper Award at IEEE BIBM 2021. He has served as Reviewer/Program Committee member for 10+ NLP venues (e.g., ACL, EMNLP, NAACL, COLING, ACL ARR), and was awarded Outstanding Reviewer twice at NAACL and EMNLP (2022, 2024) for his endeavor. Prior to his PhD journey, he received Outstanding University Graduate of Sichuan Province (2021), CRA Outstanding Undergraduate Researcher Award (2020), “Tomorrow Advancing Life” Merit Scholarship (2019), National Scholarships (2017, 2018) among other prestigious awards/scholarships. 中文版: 张心亮(Frederick)在美国密歇根大学电子工程与计算机科学系攻读计算机科学博士学位。他于2021年毕业于美国俄亥俄州立大学主修计算机科学和工业工程同时辅修数学。他于同年毕业于四川大学主修工业工程。他曾于奥多比研究院(2024)和彭博社AI实验室(2023)担任研究科学家实习生。他的科研兴趣为自然语言处理(NLP),深度学习,机器学习和计算社会科学。他的工作涉足结构性学习,基于事件的文本理解,时序推理,信息提取,大规模语言模型,自然语言推断,信息检索以及文本问题生成。他的工作同时关注于NLP技术在社会科学和医疗保健/临床医学中的应用。他已有10余篇工作发表于自然语言处理方向的顶会诸如ACL,EMNLP和NAACL,同时也获得IEEE BIBM 2021会议的最佳论文奖。他已担任10余次NLP领域(如ACL, EMNLP, NAACL, COLING, ACL ARR)的审稿人/程序委员会成员,并因其高质量的审稿意见被两度授予EMNLP和NAACL的杰出审稿人(2022,2024)。在攻读博士之前,他曾获得过四川省优秀毕业生(2021),CRA杰出本科生科研嘉奖(2020),“好未来”优秀学生奖学金(2019),国家奖学金(2017,2018)等多项有竞争力的荣誉和奖学金。