Xiyang Hu

According to our database, Xiyang Hu authored at least 26 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PyGOD: A Python Library for Graph Outlier Detection.

Kay Liu, Yingtong Dou, Xueying Ding, Xiyang Hu, Ruitong Zhang, Hao Peng, Lichao Sun, Philip S. Yu

J. Mach. Learn. Res., 2024

A Large-scale Empirical Study on Large Language Models for Election Prediction.

Chenxiao Yu, Zhaotian Weng, Yuangang Li, Zheng Li, Xiyang Hu, Yue Zhao

CoRR, 2024

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 A. Rossi, Kaize Ding, Xiaohu You, Yue Zhao

CoRR, 2024

Political-LLM: Large Language Models in Political Science.

Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun, Lifang He, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao, Swabha Swayamdipta, Willie Neiswanger, Hua Wei, Xiyang Hu, Shixiang Zhu, Tianlong Chen, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang, Jaemin Yoo, Jiaheng Zhang, Ryan A. Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S. Yu, Yue Zhao, Yushun Dong

CoRR, 2024

NLP-ADBench: NLP Anomaly Detection Benchmark.

Yuangang Li, Jiaqi Li, Zhuo Xiao, Tiankai Yang, Yi Nian, Xiyang Hu, Yue Zhao

CoRR, 2024

DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration.

Sizhe Liu, Yizhou Lu, Siyu Chen, Xiyang Hu, Jieyu Zhao, Tianfan Fu, Yue Zhao

CoRR, 2024

COOD: Concept-based Zero-shot OOD Detection.

Zhendong Liu, Yi Nian, Henry Peng Zou, Li Li, Xiyang Hu, Yue Zhao

CoRR, 2024

Towards More Accurate US Presidential Election via Multi-step Reasoning with Large Language Models.

Chenxiao Yu, Zhaotian Weng, Yuangang Li, Zheng Li, Xiyang Hu, Yue Zhao

CoRR, 2024

Flood Simulation: Integrating UAS Imagery and Ai-Generated Data With Diffusion Model.

Xiyang Hu, Maryam Rahnemoonfar

Proceedings of the IGARSS 2024, 2024

2023

ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions.

Zheng Li, Yue Zhao, Xiyang Hu, Nicola Botta, Cezar Ionescu, George H. Chen

IEEE Trans. Knowl. Data Eng., December, 2023

Inclusive FinTech Lending via Contrastive Learning and Domain Adaptation.

Xiyang Hu, Yan Huang, Beibei Li, Tian Lu

CoRR, 2023

Weakly Supervised Anomaly Detection: A Survey.

Minqi Jiang, Chaochuan Hou, Ao Zheng, Xiyang Hu, Songqiao Han, Hailiang Huang, Xiangnan He, Philip S. Yu, Yue Zhao

CoRR, 2023

ADGym: Design Choices for Deep Anomaly Detection.

Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Language Agnostic Multilingual Information Retrieval with Contrastive Learning.

Xiyang Hu, Xinchi Chen, Peng Qi, Deguang Kong, Kunlun Liu, William Yang Wang, Zhiheng Huang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Benchmarking Node Outlier Detection on Graphs.

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

CoRR, 2022

ADBench: Anomaly Detection Benchmark.

Songqiao Han, Xiyang Hu, Hailiang Huang, Mingqi Jiang, Yue Zhao

CoRR, 2022

PyGOD: A Python Library for Graph Outlier Detection.

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

CoRR, 2022

Uncovering the Source of Machine Bias.

Xiyang Hu, Yan Huang, Beibei Li, Tian Lu

CoRR, 2022

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ADBench: Anomaly Detection Benchmark.

Songqiao Han, Xiyang Hu, Hailiang Huang, Minqi Jiang, Yue Zhao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Credit Risk Modeling without Sensitive Features: An Adversarial Deep Learning Model for Fairness and Profit.

Xiyang Hu, Yan Huang, Beibei Li, Tian Lu

Proceedings of the 43rd International Conference on Information Systems, 2022

2021

SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection.

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

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

Uncovering the Source of Evaluation Bias in Micro-Lending.

Xiyang Hu, Yan Huang, Beibei Li, Tian Lu

Proceedings of the 42nd International Conference on Information Systems, 2021

2020

SUOD: A Scalable Unsupervised Outlier Detection Framework.

Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Cao Xiao, Yunlong Wang, Jimeng Sun, Leman Akoglu

CoRR, 2020

COPOD: Copula-Based Outlier Detection.

Zheng Li, Yue Zhao, Nicola Botta, Cezar Ionescu, Xiyang Hu

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Optimal Sparse Decision Trees.

Xiyang Hu, Cynthia Rudin, Margo I. Seltzer

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019