Yue Zhao

pyod. 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-resources. Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!

cs-paper-checklist. A final sanity checklist to help your CS paper get accepted, not desk rejected.

combo. (AAAI' 20) A Python Toolbox for Machine Learning Model Combination

agent-style. 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.

SUOD. (MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

data-mining-conferences. Ranking, acceptance rate, deadline, and publication tips

awesome-ensemble-learning. Ensemble learning related books, papers, videos, and toolboxes

anywhere-agents. One config to rule all your AI agents: portable (every project, every session), effective (curated writing, routing, skills), and safer (destructive-command guard).

pytod. TOD: GPU-accelerated Outlier Detection via Tensor Operations

MetaOD. Automating Outlier Detection via Meta-Learning (Code, API, and Contribution Instructions)

XGBOD. Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"

LSCP. Supplementary material for SDM 19 paper "LSCP: Locally Selective Combination in Parallel Outlier Ensembles"

UOMS. Resources and environment for unsupervised outlier model selection (UOMS)

AIOpenings. A curated list of PhD, RA, and Intern openings in Computer Science (CS), Electrical & Computer Engineering (ECE), and Artificial Intelligence (AI). For students to explore opportunities and for faculty to contribute updates.

DCSO. Supplementary material for KDD 2018 workshop "DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles"

auditable. Audit any agent decision across its past, present, and future, on one typed graph.

awesome-auditable-ai. A curated list of papers, tools, datasets, benchmarks, and standards for building, evaluating, and auditing reliable AI agents.

mmad. multimodal anomaly detection

HPOD. AutoML 2024: HPOD: Hyperparameter Optimization for Unsupervised Outlier Detection

agent-config. Personal agent configuration for Codex and Claude Code. Not intended for general use.

yzhao062.

ELECT. Toward Unsupervised Outlier Model Selection (ICDM 2022)

OutlierDetection.jl. A Julia Library for Outlier Detection (Anomaly Detection)

yzhao062.github.io. My personal website

fedod. Python

Simulation-Modeling-with-Machine-Learning. The project demonstrate how to incorporate simulation modeling with machine learning techniques

scikit-learn-doc-zh. scikit-learn（sklearn） translation in Chinese （中文官方文档）

Coding-questions. Elements in Interview C++ alternative solutions

SIML. SImilarity Measure Library: an extended python library for measuring similarities

MLMM. A Monitoring framework to track Machine Learning Model training processes

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

DataStructure_CPP. It is a repository to store multiple implementation of data structures and algorithms in C++ written by me in the past several years.

Financial-Models.

OD-Econometrics. Outlier Detection and Removal for Econometrics Models

Smartwatch_Unlock. Supplementary materials for ISWC paper "An empirical study of touch-based authentication methods on smartwatches"

M2-Review. Sharing Only

agent-pack. Personal pack and reference example for anywhere-agents.

vibesignal. Physical status light for AI coding agents (Claude Code / Codex)

.github.

cmu-catalyst.github.io. HTML