Aodong Li

5 papers · 2021–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12)

Venues

ICML (2) NeurIPS (2) AAAI (1)

Top co-authors

Stephan Mandt (4) Maja Rudolph (3) Chen Qiu (3) Marius Kloft (3) Padhraic Smyth (3) Alex Boyd (1) Abishek Sankararaman (1) Balakrishnan Murali Narayanaswamy (1)

Research topics

Machine Learning (5) Learning Types · Machine Learning (3) Computer Vision (2) Analysis (2) Core Methods (2) Optimization & Theory (2) Artificial Intelligence (1) Deep Learning (1) Application Areas (1) Learning Paradigms (1) Learning Types · Deep Learning (1)

Keywords

anomaly detection (3) bayesian online learning (2) active learning (1) zero-shot learning (1) semi-supervised learning (1) batch normalization (1) deep learning (1) posterior inference (1) distribution shift (1) labeling budget (1) hash encoding (1) streaming data (1) categorical feature (1) probabilistic embedding (1) outlier exposure (1) switching dynamical system (1) coverage optimization (1) zero-shot anomaly detection (1) deep svdd (1) anomaly detector (1)

Papers

Probabilistic Hash Embeddings for Online Learning of Categorical Features AAAI 2026 Deep Anomaly Detection under Labeling Budget Constraints ICML 2023 Zero-Shot Anomaly Detection via Batch Normalization NeurIPS 2023 Latent Outlier Exposure for Anomaly Detection with Contaminated Data ICML 2022 Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning NeurIPS 2021