Minghui is a Senior Algorithm Expert at Alibaba with 11+ years of hands-on experience in machine learning and NLP, leading teams that build deep learning and transfer-learning toolkits for tasks from paraphrastic embeddings to goal-oriented QA. He holds a PhD from Singapore Management University, completed a CMU training residency, and interned on large-scale methods at Google, reflecting a strong mix of academic rigor and industry impact. Minghui has published 50+ papers in top venues (KDD, SIGIR, ACL) and driven multiple competition-winning models (FewCLUE, CLUE, QuAC) that influenced production deployments. At Alibaba he helped build the Alibaba Transfer Learning Platform (ATP) and deployed 10+ ATP algorithms to production, bridging research and scalable engineering. Known for excelling in few-shot and benchmark-driven NLP, he also has a practical track record in deep reinforcement learning platforms and conversational AI. Based in Singapore, he combines prolific research output with pragmatic system-building that ships into real-world products.
10 years of coding experience
2 years of employment as a software developer
Bachelor, Communication Engineering, Bachelor, Communication Engineering at Nanjing University of Posts and Telecommunications
Doctor of Philosophy (PhD), School of Information Systems, 3.88/4.0, Doctor of Philosophy (PhD), School of Information Systems, 3.88/4.0 at Singapore Management University
PhD Overseas Training Residency, Text Mining, Machine Learning, 4.0/4.0, PhD Overseas Training Residency, Text Mining, Machine Learning, 4.0/4.0 at Carnegie Mellon University
Contributions:9 commits, 1 PR, 7 pushes in 9 months
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Minghui - Senior Algorithm Expert at Alibaba Cloud