Publications

Here is a partial excerpt; you can find more articles on my Google Scholar profile.
^†Equal contribution; ^♠Corresponding author.

Conference Papers

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection
Tiankai Yang^†, Junjun Liu^†, Wingchun Siu^†, Jiahang Wang, Zhuangzhuang Qian, Chanjuan Song, Cheng Cheng, Xiyang Hu, Yue Zhao.
IJCNLP-AACL (Findings), 2025. .
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.
ACL (Findings), 2025.
DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection
Shawn Li, Huixian Gong, Hao Dong, Tiankai Yang, Zhengzhong Tu, Yue Zhao.
CVPR, 2025. Highlight Paper.
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.
The Web Conference (Demo Track), 2025.

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.