@yzhao062
University of Southern Californi...
Assistant Professor at @USC-FORTIS | Building auditable AI systems: risk detection, attribution, and control.
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A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
A final sanity checklist to help your CS paper get accepted, not desk rejected.
21 writing rules for AI coding and writing agents. Drop-in for Claude Code, Codex, Copilot, Cursor, and Aider, so their output reads like a tech pro.
(AAAI' 20) A Python Toolbox for Machine Learning Model Combination
(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)
Ranking, acceptance rate, deadline, and publication tips
Ensemble learning related books, papers, videos, and toolboxes
One config to rule all your AI agents: portable (every project, every session), effective (curated writing, routing, skills), and safer (destructive-command guard).
Automating Outlier Detection via Meta-Learning (Code, API, and Contribution Instructions)