Yue Zhao
Carnegie Mellon University
H-index: 22
North America-United States
Top articles of Yue Zhao
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Hyperparameter Optimization for Unsupervised Outlier Detection | International Conference on Automated Machine Learning | Yue Zhao Leman Akoglu | 2024/9 |
Trustllm: Trustworthiness in large language models | arXiv preprint arXiv:2401.05561 | Lichao Sun Yue Huang Haoran Wang Siyuan Wu Qihui Zhang | 2024/1/10 |
ADMoE: Anomaly detection with mixture-of-experts from noisy labels | AAAI Conference on Artificial Intelligence (AAAI) | Yue Zhao Guoqing Zheng Subhabrata Mukherjee Robert McCann Ahmed Awadallah | 2023/2/24 |
Diffusion Models: A Comprehensive Survey of Methods and Applications | Ling Yang Zhilong Zhang Yang Song Shenda Hong Runsheng Xu | 2023/11/10 | |
Weakly supervised anomaly detection: A survey | arXiv preprint arXiv:2302.04549 | Minqi Jiang Chaochuan Hou Ao Zheng Xiyang Hu Songqiao Han | 2023/2/9 |
Fast Unsupervised Deep Outlier Model Selection with Hypernetworks | arXiv preprint arXiv:2307.10529 | Xueying Ding Yue Zhao Leman Akoglu | 2023/7/20 |
DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection | Jaemin Yoo Yue Zhao Lingxiao Zhao Leman Akoglu | 2023/9/17 | |
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation | arXiv preprint arXiv:2311.11961 | Hao Dong Gaëtan Frusque Yue Zhao Eleni Chatzi Olga Fink | 2023/11/20 |
The Need for Unsupervised Outlier Model Selection: A Review and Evaluation of Internal Evaluation Strategies | Martin Q Ma Yue Zhao Xiaorong Zhang Leman Akoglu | 2023/6/26 | |
ADGym: Design Choices for Deep Anomaly Detection | Neural Information Processing Systems (NeurIPS) | Minqi Jiang Chaochuan Hou Ao Zheng Songqiao Han Hailiang Huang | 2023/11/10 |
TOD: GPU-accelerated Outlier Detection via Tensor Operations | International Conference on Very Large Data Bases (VLDB) | Yue Zhao George H Chen Zhihao Jia | 2023/3/1 |
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks | Peng Xu Lin Zhang Xuanzhou Liu Jiaqi Sun Yue Zhao | 2023/7/3 | |
PyGOD: A Python Library for Graph Outlier Detection | arXiv preprint arXiv:2204.12095 | Kay Liu Yingtong Dou Yue Zhao Xueying Ding Xiyang Hu | 2022/4/26 |
Ecod: Unsupervised outlier detection using empirical cumulative distribution functions | IEEE Transactions on Knowledge and Data Engineering (TKDE) | Zheng Li Yue Zhao Xiyang Hu Nicola Botta Cezar Ionescu | 2022/3/2 |
Toward unsupervised outlier model selection | Yue Zhao Sean Zhang Leman Akoglu | 2022/11/28 | |
Contrastive Attributed Network Anomaly Detection with Data Augmentation | Zhiming Xu Xiao Huang Yue Zhao Yushun Dong Jundong Li | 2022/3 | |
Artificial intelligence foundation for therapeutic science | Nature chemical biology | Kexin Huang Tianfan Fu Wenhao Gao Yue Zhao Yusuf Roohani | 2022/10 |
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs | arXiv preprint arXiv:2206.10071 | Kay Liu Yingtong Dou Yue Zhao Xueying Ding Xiyang Hu | 2022/6/21 |
ADBench: Anomaly Detection Benchmark | Advances in Neural Information Processing Systems | Xiyang Hu Songqiao Han Hailiang Huang Mingqi Jiang Yue Zhao | 2022 |
Revisiting Time Series Outlier Detection: Definitions and Benchmarks | Kwei-Herng Lai Daochen Zha Junjie Xu Yue Zhao Guanchu Wang | 2021/6/8 |
Co-Authors
