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  • Shanghai

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@SUFE-AILAB

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BraudoCC/README.md

Welcome to my (Chaochuan Hou, 侯朝川 for Chinese) profile:

I am a 5-year PhD student at Shanghai University of Finance and Economics. I work with my supervisors, Songqiao Han and Hailiang Huang, as well as my senior fellow, Minqi Jiang in SUFE AI Lab. My research focuses on time series analysis, quantitative trading and anomaly detection.

Title Research Direction Conference/Journal Paper Code
ADGym: Design Choices for Deep Anomaly Detection Anomaly Detection NeurIPS 2023 📄 💻
Weakly Supervised Anomaly Detection: A Survey Anomaly Detection Arxiv 📄 💻
Beyond Holistic Models: Systematic Component-level Benchmarking of Deep Multivariate Time-Series Forecasting Time Series Forecasting KDD 2026 📄 💻
Rethinking Weak Supervision in Anomaly Detection: A Comprehensive Benchmark Anomaly Detection KDD 2026 📄 💻

Quick links

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  1. Minqi824/ADBench Minqi824/ADBench Public

    Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

    Python 1k 151

  2. Minqi824/WSAD Minqi824/WSAD Public

    A Collection of Resources for Weakly-supervised Anomaly Detection (WSAD)

    Python 183 13

  3. Minqi824/ADGym Minqi824/ADGym Public

    Official Implement of "ADGym: Design Choices for Deep Anomaly Detection", NeurIPS 2023

    Python 34 7

  4. SUFE-AILAB/TSCOMP SUFE-AILAB/TSCOMP Public

    Python 17 3