Dr. Xing Hu is an associate professor and doctoral advisor in Institute of Computing Technology, Chinese Academy of Sciences. She devotes to computer architecture research in the past ten years, and has rich academic research and industrial experience . Her interests lies at the intersection of computer architecture and machine learning techniques: designing systems for more efficient and robust AI, and AI-driven design for computing architecture and systems. She has published more than 30 top-tier research papers, including ASPLOS, MICRO, ISCA, HPCA, DAC, NeurIPS, ICLR, TC, TNNLS, and TCAD. She served as a member of the Program Committee for MICRO, DAC conferences, and served as a guest editor for the journal of "Frontiers in NeuroScience”.