Publications
You can also find my articles on my Google Scholar profile.
†Equal contribution; ♠Corresponding author.
†Equal contribution; ♠Corresponding author.
Preprints & Working Papers
- AD-LLM: Benchmarking Large Language Models for Anomaly Detection
Tiankai Yang†, Yi Nian†, Shawn Li, Ruiyao Xu, Yuangang Li, Jiaqi Li, Zhuo Xiao, Xiyang Hu, Ryan Rossi, Kaize Ding, Xia Hu, Yue Zhao.
Preprint, 2024. - PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection
Sihan Chen†, Zhuangzhuang Qian†, Wingchun Siu†, Xingcan Hu, Jiaqi Li, Shawn Li, Yuehan Qin, Tiankai Yang, Zhuo Xiao, Wanghao Ye, Yichi Zhang, Yushun Dong, Yue Zhao.
Preprint, 2024. - NLP-ADBench: NLP Anomaly Detection Benchmark
Yuangang Li†, Jiaqi Li†, Zhuo Xiao†, Tiankai Yang, Yi Nian, Xiyang Hu, Yue Zhao.
Preprint, 2024. - DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection
Shawn Li, Huixian Gong, Hao Dong, Tiankai Yang, Zhengzhong Tu, Yue Zhao.
Preprint, 2024.
Journal Papers
- Efficient and Robust KPI Outlier Detection for Large-Scale Datacenters
Yongqian Sun, Daguo Cheng, Tiankai Yang, Yuhe Ji, Shenglin Zhang, Man Zhu, Xiao Xiong, Qiliang Fan, Minghan Liang, Dan Pei, Tianchi Ma, Yu Chen.
IEEE Transactions on Computers, 2023.