Summary
Yu Zhang is an incoming algorithm engineer at ByteDance and a Tsinghua M.S. student who blends hands-on systems engineering with top-tier AI research in anomaly detection, model compression, and edge-cloud scheduling. As a Research Assistant at Pengcheng National Lab and Shanghai AI Lab he co-authored multiple NeurIPS and INFOCOM papers on interpretable unsupervised intrusion detection and rule extraction, and developed adaptive knowledge distillation methods for visual models. He has founder experience scaling a software outsourcing business to 1.6M RMB ARR and exiting a trading-services company for 5M RMB, demonstrating rare product-to-research fluency. Skilled in Java, Python, Spark, Hadoop and modern ML frameworks, he focuses on practical, resource-aware solutions for constrained devices and industrial AI. Known for rapid integration into new roles, strong execution under pressure, and a penchant for observing phenomena that reveal actionable research directions.
8 years of coding experience