I am a Researcher at Alibaba (Beijing) specializing in Ranking & Recommendation Systems and Supply Chain Optimization. My work focuses on designing and deploying robust, large-scale recommendation engines that power diverse, high-concurrency commercial ecosystems. I am deeply passionate about pushing the frontiers of Deep Learning to solve complex challenges in user intent modeling, multi-task learning, cross-domain transfer learning, and large-scale revenue optimization.

I hold an M.S. in Computer Architecture from the Institute of Computing Technology (ICT), University of Chinese Academy of Sciences (UCAS), and a B.S. in Software Engineering from Shandong University (SDU). Beyond my core responsibilities, I am an active member of the global research community, serving as a regular Program Committee member and reviewer for premier AI and data mining conferences, including KDD, RecSys, and SIGIR. Throughout my career, I have remained committed to bridging the gap between cutting-edge algorithmic innovation and real-world industrial impact, consistently delivering measurable improvements in both user experience and business efficiency. I thrive on transforming theoretical research into scalable solutions that drive sustainable business growth and long-term competitive advantage