|  | Weihang Wang
Assistant Professor
University of Southern CaliforniaUnderstanding WebAssembly via Program Transformation Weihang Wang is an Assistant Professor of Computer Science at the University of Southern
California. She is broadly interested in software engineering, software security, and computer
systems. Her work aims to build testing and analysis techniques for improving the reliability,
security, and efficiency of complex software systems. She was awarded a University at Buffalo
Exceptional Scholar - Young Investigator Award in 2022, an NSF CAREER Award in 2021, a
Facebook Testing and Verification Research Award in 2019, a Mozilla Research Award in
2019, and a Maurice H. Halstead Memorial Research Award in 2018. Before joining USC, she
was an Assistant Professor at University at Buffalo from 2018 to 2022. |
|  | Shaun Kane
Google Research
University of Colorado BoulderRedefining Accessibility in the Age of AI Shaun Kane is a Research Scientist in Responsible AI and Human-Centered Technology at Google Research, and
Associate Professor in the Department of Computer Science at the University of Colorado Boulder. His research focuses on understanding emerging accessibility problems and empowering people and organizations to solve these problems. He is the recipient of an Alfred P. Sloan Fellowship, a National Science Foundation CAREER Award, and the ACM SIGACCESS Lasting Impact Award. He received his Ph.D. from The Information School at the University of Washington. |
|  | Xiaolong Ma
Assistant Professor of Electrical and Computer Engineering
Clemson UniversityTowards Efficient Deep Neural Network Execution with Model Compression and Platform-specific Optimization Dr. Xiaolong Ma is an assistant professor in the Department of Electrical and Computer Engineering at Clemson University. He was the winner of the Contributed Article of CACM in 2021, for his contribution on the research of model compression for real-time inference on mobile devices. His highly efficient dynamic sparse training framework won the Best Paper Award in ICLR workshop of Hardware Aware Efficient Training (HAET), and also received the Spotlight Paper Award in NeurIPS in 2021. His work on efficient machine learning with stochastic number generator was nominated for the Best Paper Award in ISQED 2017. He has published in the top conference ranging from NeurIPS, ICML, CVPR, ICLR, ECCV, AAAI, IJCAI, ASPLOS, ISCA, MICRO, DAC, ICS, PACT, and top journal such as TPAMI, TNNLS and CACM. |
