Penghui Wei is a Staff Engineer and manager based in Beijing with 9 years of experience building high-throughput, low-latency ML systems for online advertising at Baidu and Alibaba. He combines a PhD in Pattern Recognition with hands-on expertise in LLMs, large-scale GNN retrieval, and production ranking systems that operate under millisecond constraints and extreme QPS. At Baidu he leads algorithm-system co-design for real-time ad creative generation and efficient LLM serving (Sparse-MoE, SparseGEMV, parallel and non-autoregressive decoding) to boost monetization. Previously at Alibaba he drove debiased CVR models, federated learning, billion-node GNNs, and RL-based ad pacing, demonstrating both research depth and production impact. He’s comfortable spanning post-training LLM techniques (multi-objective RLHF, online preference tuning, Zero RL) to multimodal creative ranking and adaptive computation allocation. Outside product work he maintains a technical homepage and focuses on scalable, principled solutions where algorithmic innovation meets systems engineering.
9 years of coding experience
Bachelor of Engineering - BE, Department of Automation, Rank: 1st (Overall GPA 3.84 / 4.0, Major GPA 3.92 / 4.0), Bachelor of Engineering - BE, Department of Automation, Rank: 1st (Overall GPA 3.84 / 4.0, Major GPA 3.92 / 4.0) at Wuhan University
Doctor of Philosophy - PhD, Pattern Recognition and Intelligent System, Doctor of Philosophy - PhD, Pattern Recognition and Intelligent System at Institute of Automation, Chinese Academy of Sciences
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Penghui Wei - Staff Engineer And Manager at Baidu, Inc.