Wang Jian is a Ph.D. student in the School of Computer Science and Engineering at Nanyang Technological University (NTU) in Singapore. He is now heavily involved in pushing the boundary of robust vision and robust AI by creating high-realism adversarial attacks such as trace-based repair Neural networks, adversarial motion blur, facial-skew adversarial detection, etc. He obtained a bachelor's degree from Tianjin University in 2011, and an AI-CV certificate from Tsinghua University in 2019. In 2020, he began a doctorate at Nanyang Technological University. During this year, he published papers in IJCAI 2020, NIPS 2020, and ICML 2021 as a co-author. Hosted several academic conferences ICFEM 2020, APSEC 2020, ICECCS 2020, and InternetWare 2020. He has several years of experience in some frontier Internet firms in development and management. From 2017 to 2019, he worked as a research scientist at Xiaomi AILab, responsible for building the Xiaomi AI deep generating framework, which plans to commercial to animation or cartooning production. From 2011 to 2017, he participated in and led a company-level user profile ETL(extract, transform and load) and built first generation analysis system on 58.com that tracked user's impulsive shopping behavior; Meanwhile, he had led and built a million-request-daily, w/ asynchronous transaction supporting, WEB framework that designed to work well at any demanding peak point. This framework still carries the company’s internet visits now.