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2020 – today
- 2024
[j2]Kay Liu, Yingtong Dou, Xueying Ding, Xiyang Hu, Ruitong Zhang, Hao Peng, Lichao Sun, Philip S. Yu:
PyGOD: A Python Library for Graph Outlier Detection. J. Mach. Learn. Res. 25: 141:1-141:9 (2024)- [c10]Xiyang Hu, Maryam Rahnemoonfar:
Flood Simulation: Integrating UAS Imagery and Ai-Generated Data With Diffusion Model. IGARSS 2024: 565-568 - [i17]Chenxiao Yu, Zhaotian Weng, Yuangang Li, Zheng Li, Xiyang Hu, Yue Zhao:
Towards More Accurate US Presidential Election via Multi-step Reasoning with Large Language Models. CoRR abs/2411.03321 (2024) - [i16]Zhendong Liu, Yi Nian, Henry Peng Zou, Li Li, Xiyang Hu, Yue Zhao:
COOD: Concept-based Zero-shot OOD Detection. CoRR abs/2411.13578 (2024) - [i15]Sizhe Liu, Yizhou Lu, Siyu Chen, Xiyang Hu, Jieyu Zhao, Tianfan Fu, Yue Zhao:
DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration. CoRR abs/2411.15692 (2024) - [i14]Yuangang Li, Jiaqi Li, Zhuo Xiao, Tiankai Yang, Yi Nian, Xiyang Hu, Yue Zhao:
NLP-ADBench: NLP Anomaly Detection Benchmark. CoRR abs/2412.04784 (2024) - [i13]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:
Political-LLM: Large Language Models in Political Science. CoRR abs/2412.06864 (2024) - 2023
- [j1]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): 12181-12193 (2023) - [c9]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: 9133-9146 - [c8]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 - [i12]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 abs/2302.04549 (2023) - [i11]Xiyang Hu, Yan Huang, Beibei Li, Tian Lu:
Inclusive FinTech Lending via Contrastive Learning and Domain Adaptation. CoRR abs/2305.05827 (2023) - [i10]Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao:
ADGym: Design Choices for Deep Anomaly Detection. CoRR abs/2309.15376 (2023) - 2022
- [c7]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 - [c6]Songqiao Han, Xiyang Hu, Hailiang Huang, Minqi Jiang, Yue Zhao:
ADBench: Anomaly Detection Benchmark. NeurIPS 2022 - [c5]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 - [i9]Zheng Li, Yue Zhao, Xiyang Hu, Nicola Botta, Cezar Ionescu, George H. Chen:
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions. CoRR abs/2201.00382 (2022) - [i8]Xiyang Hu, Yan Huang, Beibei Li, Tian Lu:
Uncovering the Source of Machine Bias. CoRR abs/2201.03092 (2022) - [i7]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 abs/2204.12095 (2022) - [i6]Songqiao Han, Xiyang Hu, Hailiang Huang, Mingqi Jiang, Yue Zhao:
ADBench: Anomaly Detection Benchmark. CoRR abs/2206.09426 (2022) - [i5]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 abs/2206.10071 (2022) - [i4]Xiyang Hu, Xinchi Chen, Peng Qi, Deguang Kong, Kunlun Liu, William Yang Wang, Zhiheng Huang:
Language Agnostic Multilingual Information Retrieval with Contrastive Learning. CoRR abs/2210.06633 (2022) - 2021
- [c4]Xiyang Hu, Yan Huang, Beibei Li, Tian Lu:
Uncovering the Source of Evaluation Bias in Micro-Lending. ICIS 2021 - [c3]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 - 2020
- [c2]Zheng Li, Yue Zhao, Nicola Botta, Cezar Ionescu, Xiyang Hu:
COPOD: Copula-Based Outlier Detection. ICDM 2020: 1118-1123 - [i3]Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Cao Xiao, Yunlong Wang, Jimeng Sun, Leman Akoglu:
SUOD: A Scalable Unsupervised Outlier Detection Framework. CoRR abs/2003.05731 (2020) - [i2]Zheng Li, Yue Zhao, Nicola Botta, Cezar Ionescu, Xiyang Hu:
COPOD: Copula-Based Outlier Detection. CoRR abs/2009.09463 (2020)
2010 – 2019
- 2019
- [c1]Xiyang Hu, Cynthia Rudin, Margo I. Seltzer:
Optimal Sparse Decision Trees. NeurIPS 2019: 7265-7273 - [i1]Xiyang Hu, Cynthia Rudin, Margo I. Seltzer:
Optimal Sparse Decision Trees. CoRR abs/1904.12847 (2019)
Coauthor Index
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