Summary
Ziyue Xiang is a senior researcher based in Sunnyvale with nine years of experience at the intersection of video coding, media forensics, and AI/ML. Currently developing next-generation international video compression standards at Tencent Americas, she blends deep technical expertise in image/video/audio processing and machine learning with hands-on experience in codec analysis and deepfake detection. Her PhD work combined media metadata, compression artifacts, computer vision, and signal processing to advance media integrity and forensic tools. Having contributed to JVET standard development during a prior Tencent internship and led research at Purdue’s VIPER lab, she brings both standards-facing engineering and academic rigor. Colleagues value her rare combination of standardization impact and forensic sensitivity to subtle media provenance cues.
9 years of coding experience
5 years of employment as a software developer
Exchange, Computer Science, Exchange, Computer Science at University of California, Berkeley
Master's degree, Computer Science, Master's degree, Computer Science at Syracuse University
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Purdue University
Bachelor's degree, Information and Computing Science, Bachelor's degree, Information and Computing Science at Sun Yat-Sen University