Xiyang Hu

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 22

Top Topics

Cumulative Distribution Functions

Anomaly Detection

Outlier Detection

Top Venues

Publications

Zheng Li, Yue Zhao, Xiyang Hu, Nicola Botta, Cezar Ionescu, George H. Chen
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao
ADGym: Design Choices for Deep Anomaly Detection. NeurIPS (2023)
Xiyang Hu, Xinchi Chen, Peng Qi, Deguang Kong, Kunlun Liu, William Yang Wang, Zhiheng Huang
Language Agnostic Multilingual Information Retrieval with Contrastive Learning. ACL (Findings) (2023)
Xiyang Hu, Yan Huang, Beibei Li, Tian Lu
Inclusive FinTech Lending via Contrastive Learning and Domain Adaptation. CoRR (2023)
Minqi Jiang, Chaochuan Hou, Ao Zheng, Xiyang Hu, Songqiao Han, Hailiang Huang, Xiangnan He, Philip S. Yu, Yue Zhao
Weakly Supervised Anomaly Detection: A Survey. CoRR (2023)
Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao
ADGym: Design Choices for Deep Anomaly Detection. CoRR (2023)
Xiyang Hu, Yan Huang, Beibei Li, Tian Lu
Credit Risk Modeling without Sensitive Features: An Adversarial Deep Learning Model for Fairness and Profit. ICIS (2022)
Songqiao Han, Xiyang Hu, Hailiang Huang, Minqi Jiang, Yue Zhao
ADBench: Anomaly Detection Benchmark. NeurIPS (2022)
Xiyang Hu, Xinchi Chen, Peng Qi, Deguang Kong, Kunlun Liu, William Yang Wang, Zhiheng Huang
Language Agnostic Multilingual Information Retrieval with Contrastive Learning. CoRR (2022)
Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs. NeurIPS (2022)
Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu
Benchmarking Node Outlier Detection on Graphs. CoRR (2022)
Xiyang Hu, Yan Huang, Beibei Li, Tian Lu
Uncovering the Source of Machine Bias. CoRR (2022)
Zheng Li, Yue Zhao, Xiyang Hu, Nicola Botta, Cezar Ionescu, George H. Chen
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions. CoRR (2022)
Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, George H. Chen, Zhihao Jia, Philip S. Yu
PyGOD: A Python Library for Graph Outlier Detection. CoRR (2022)
Songqiao Han, Xiyang Hu, Hailiang Huang, Mingqi Jiang, Yue Zhao
ADBench: Anomaly Detection Benchmark. CoRR (2022)
Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Changlin Wan, Wen Wang, Jianing Yang, Haoping Bai, Zheng Li, Cao Xiao, Yunlong Wang, Zhi Qiao, Jimeng Sun, Leman Akoglu
SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection. MLSys (2021)
Xiyang Hu, Yan Huang, Beibei Li, Tian Lu
Uncovering the Source of Evaluation Bias in Micro-Lending. ICIS (2021)
Zheng Li, Yue Zhao, Nicola Botta, Cezar Ionescu, Xiyang Hu
COPOD: Copula-Based Outlier Detection. CoRR (2020)
Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Cao Xiao, Yunlong Wang, Jimeng Sun, Leman Akoglu
SUOD: A Scalable Unsupervised Outlier Detection Framework. CoRR (2020)
Zheng Li, Yue Zhao, Nicola Botta, Cezar Ionescu, Xiyang Hu
COPOD: Copula-Based Outlier Detection. ICDM (2020)
Xiyang Hu, Cynthia Rudin, Margo I. Seltzer
Optimal Sparse Decision Trees. NeurIPS (2019)
Xiyang Hu, Cynthia Rudin, Margo I. Seltzer
Optimal Sparse Decision Trees. CoRR (2019)