Information Security 8 min read

From System Engineering to Anti‑Black‑Market: Lin Yuansheng’s Journey in JD’s Intelligent Risk Detection

Lin Yuansheng, JD’s first post‑doctoral researcher, leverages his system‑engineering background and big‑data analytics to build models that identify black‑market accounts, improve network risk perception, and demonstrate how academic research can be rapidly applied to real‑world e‑commerce security challenges.

JD Tech Talk
JD Tech Talk
JD Tech Talk
From System Engineering to Anti‑Black‑Market: Lin Yuansheng’s Journey in JD’s Intelligent Risk Detection

Lin Yuansheng, a system‑engineering Ph.D. graduate from Beihang University, became JD’s first post‑doctoral researcher in May 2018, joining a newly approved JD‑Tsinghua post‑doctoral research station.

Choosing JD over aerospace firms, universities, or overseas opportunities, he was attracted by the open technical atmosphere and the massive amount of data and scenarios available for research.

Applying his expertise in data mining, cleaning, and pattern analysis, Lin treats large‑scale data as a treasure trove, using system‑engineering methods to model complex internet problems, especially in network risk perception.

Under the mentorship of JD architect Wu Yuanqing and Tsinghua professor Zhao Qianchuan, he works in JD’s Intelligent Risk Perception Lab, quickly accessing massive datasets and collaborating across teams to translate cutting‑edge research into production.

Lin actively communicates with front‑end business units to identify pain points, then develops algorithms and models that address those needs, allowing his academic research to be swiftly deployed.

One of his early achievements was creating an algorithm that automatically detects hidden black‑market accounts, protecting users, merchants, and JD’s assets.

He further combats online black‑market activities by analyzing non‑transactional data, using complex‑network and community‑detection techniques to identify malicious groups, especially in logistics scenarios.

His project on user mobility pattern analysis, funded by the China Postdoctoral Science Fund, uncovers unique movement behaviors in e‑commerce data, aiding JD in spotting concealed black‑market users.

JD’s broader commitment to technology innovation is reflected in its substantial R&D investment—179 billion CNY in 2019, a 47.8% year‑over‑year increase—and a workforce where over 80% hold master’s degrees or higher, with more than 3,600 patent applications.

Given the scale of domestic black‑market operations (≈200 million participants, 1 trillion CNY market), JD’s information‑security leadership emphasizes continuous technical advancement to safeguard user trust and combat illicit activities.

e-commerceBig Datadata modelinginformation securitysystem engineeringrisk detection
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