3 papers
cs.LG2026
CLUBench: A Clustering Benchmark
Feng Xiao, Dazhi Fu, Chris Ding +1
Clustering is a fundamental problem in data science with a long-standing research history, yielding numerous insightful algorithms. Despite this progress, a systematic and large-sc…
cs.CL2025
Text-ADBench: Text Anomaly Detection Benchmark Based on LLM Embeddings
Feng Xiao, Jicong Fan
Text anomaly detection is a critical task in natural language processing (NLP), with applications spanning fraud detection, misinformation identification, spam detection and conten…
cs.LG2025
Fairness-aware Anomaly Detection via Fair Projection
Feng Xiao, Xiaoying Tang, Jicong Fan
Unsupervised anomaly detection is a critical task in many high-social-impact applications such as finance, healthcare, social media, and cybersecurity, where demographics involving…