Weilan Lin
Peking University
7 Papers
6 Citations
Weilan Lin is an academic researcher from Peking University. The author has contributed to research in topics: Graph (abstract data type) & Fingerprint recognition. The author has an hindex of 3, co-authored 7 publications.
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Papers
MS-Rank: Multi-Metric and Self-Adaptive Root Cause Diagnosis for Microservice Applications
Meng Ma,Weilan Lin,Disheng Pan,Ping Wang +3 more
- 08 Jul 2019
TL;DR: A self-adaptive root cause diagnosis framework, named MS-Rank, to analyze multiple metrics collected from micro-service architecture and establishes a self-optimizing mechanism to dynamically update the confidence weight of different metrics according to their diagnosis precision.
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Data and Decision Intelligence for Human-in-the-Loop Cyber-Physical Systems: Reference Model, Recent Progresses and Challenges
TL;DR: This paper proposes a human-in-the-loop reference model for CPS, which extends the traditional cyber-physical interaction into a closed-loop process based on cyber, physical and human factors, and defines it as three aspects: semantic, interactive, iterative and analyze the major challenges from the perspective of data characteristics.
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Self-Adaptive Root Cause Diagnosis for Large-Scale Microservice Architecture
TL;DR: This paper presents a multi-metric and self-adaptive root cause diagnosis framework, named MS-Rank, which has a high diagnostic precision and its performance outperforms several selected benchmarks.
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Data and Decision Intelligence for Internet of Things: Putting Human in the Loop
Meng Ma,Weilan Lin,Disheng Pan,Ping Wang,Yuchen Zhou,Xiaoxing Liang +5 more
- 01 May 2017
TL;DR: A human-in-the-loop reference model is proposed, which extends the traditional cyber-physical interaction extended into a closed-loop process based on cyber, physical and human three factors, and the three-factor decision paradigm in the model is defined.
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Discover the fingerprint of electrical appliance: Online appliance behavior learning and detection in smart homes
Meng Ma,Weilan Lin,Jingbin Zhang,Ping Wang,Yuchen Zhou,Xiaoxing Liang +5 more
- 01 Aug 2017
TL;DR: A multi-source fingerprint-weighting KNN (FWKNN) classification algorithm and a boosting framework for continuous online learning and detection is presented and Experimental result and analysis prove that FWKNN outperforms other benchmark method in detection accuracy.
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