Optimal Sparse Decision Trees. - Xiyang Hu; Cynthia Rudin; Margo I. Seltzer (NeurIPS, 2019)

COPOD: Copula-Based Outlier Detection. - Zheng Li; Yue Zhao 016; Nicola Botta; Cezar Ionescu; Xiyang Hu (ICDM, 2020)

SUOD: A Scalable Unsupervised Outlier Detection Framework. - Yue Zhao 016; Xiyang Hu; Cheng Cheng 001; Cong Wang; Cao Xiao; Yunlong Wang 001; Jimeng Sun 001; Leman Akoglu (CoRR, 2020)

Uncovering the Source of Evaluation Bias in Micro-Lending. - Xiyang Hu; Yan Huang; Beibei Li; Tian Lu (ICIS, 2021)

SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection. - Yue Zhao 016; Xiyang Hu; Cheng Cheng 001; Cong Wang; Changlin Wan; Wen Wang; Jianing Yang; Haoping Bai; Zheng Li; Cao Xiao; Yunlong Wang 001; Zhi Qiao 007; et al. (MLSys, 2021)

Credit Risk Modeling without Sensitive Features: An Adversarial Deep Learning Model for Fairness and Profit. - Xiyang Hu; Yan Huang; Beibei Li; Tian Lu (ICIS, 2022)

ADBench: Anomaly Detection Benchmark. - Songqiao Han; Xiyang Hu; Hailiang Huang; Minqi Jiang; Yue Zhao 016 (NeurIPS, 2022)

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs. - Kay Liu; Yingtong Dou; Yue Zhao 016; Xueying Ding; Xiyang Hu; Ruitong Zhang; Kaize Ding; Canyu Chen; Hao Peng 001; Kai Shu; Lichao Sun 001; Jundong Li; et al. (NeurIPS, 2022)

Uncovering the Source of Machine Bias. - Xiyang Hu; Yan Huang; Beibei Li; Tian Lu (CoRR, 2022)

PyGOD: A Python Library for Graph Outlier Detection. - Kay Liu; Yingtong Dou; Yue Zhao 016; Xueying Ding; Xiyang Hu; Ruitong Zhang; Kaize Ding; Canyu Chen; Hao Peng 001; Kai Shu; George H. Chen; Zhihao Jia; et al. (CoRR, 2022)

ADBench: Anomaly Detection Benchmark. - Songqiao Han; Xiyang Hu; Hailiang Huang; Mingqi Jiang; Yue Zhao 016 (CoRR, 2022)

Benchmarking Node Outlier Detection on Graphs. - Kay Liu; Yingtong Dou; Yue Zhao 016; Xueying Ding; Xiyang Hu; Ruitong Zhang; Kaize Ding; Canyu Chen; Hao Peng 001; Kai Shu; Lichao Sun 001; Jundong Li; et al. (CoRR, 2022)

Language Agnostic Multilingual Information Retrieval with Contrastive Learning. - Xiyang Hu; Xinchi Chen; Peng Qi 003; Deguang Kong; Kunlun Liu; William Yang Wang; Zhiheng Huang (ACL (Findings), 2023)

ADGym: Design Choices for Deep Anomaly Detection. - Minqi Jiang; Chaochuan Hou; Ao Zheng; Songqiao Han; Hailiang Huang; Qingsong Wen; Xiyang Hu; Yue Zhao 016 (NeurIPS, 2023)

Weakly Supervised Anomaly Detection: A Survey. - Minqi Jiang; Chaochuan Hou; Ao Zheng; Xiyang Hu; Songqiao Han; Hailiang Huang; Xiangnan He 001; Philip S. Yu; Yue Zhao 016 (CoRR, 2023)

Inclusive FinTech Lending via Contrastive Learning and Domain Adaptation. - Xiyang Hu; Yan Huang; Beibei Li; Tian Lu (CoRR, 2023)

ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions. - Zheng Li; Yue Zhao 016; Xiyang Hu; Nicola Botta; Cezar Ionescu; George H. Chen (IEEE Trans. Knowl. Data Eng., 2023)

Flood Simulation: Integrating UAS Imagery and Ai-Generated Data With Diffusion Model. - Xiyang Hu; Maryam Rahnemoonfar (IGARSS, 2024)

Towards More Accurate US Presidential Election via Multi-step Reasoning with Large Language Models. - Chenxiao Yu; Zhaotian Weng; Yuangang Li 002; Zheng Li; Xiyang Hu; Yue Zhao 016 (CoRR, 2024)

COOD: Concept-based Zero-shot OOD Detection. - Zhendong Liu; Yi Nian; Henry Peng Zou; Li Li 006; Xiyang Hu; Yue Zhao 016 (CoRR, 2024)

DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration. - Sizhe Liu; Yizhou Lu; Siyu Chen; Xiyang Hu; Jieyu Zhao 001; Tianfan Fu; Yue Zhao 016 (CoRR, 2024)

NLP-ADBench: NLP Anomaly Detection Benchmark. - Yuangang Li 002; Jiaqi Li; Zhuo Xiao; Tiankai Yang 001; Yi Nian; Xiyang Hu; Yue Zhao 016 (CoRR, 2024)

Political-LLM: Large Language Models in Political Science. - Lincan Li; Jiaqi Li; Catherine Chen 003; Fred Gui; Hongjia Yang; Chenxiao Yu; Zhengguang Wang; Jianing Cai; Junlong Aaron Zhou; Bolin Shen; Alex Qian; Weixin Chen; et al. (CoRR, 2024)

AD-LLM: Benchmarking Large Language Models for Anomaly Detection. - Tiankai Yang 001; Yi Nian; Shawn Li; Ruiyao Xu; Yuangang Li 002; Jiaqi Li; Zhuo Xiao; Xiyang Hu; Ryan A. Rossi; Kaize Ding; Xiaohu You 001; Yue Zhao 016 (CoRR, 2024)

A Large-scale Empirical Study on Large Language Models for Election Prediction. - Chenxiao Yu; Zhaotian Weng; Yuangang Li 002; Zheng Li; Xiyang Hu; Yue Zhao 016 (CoRR, 2024)

PyGOD: A Python Library for Graph Outlier Detection. - Kay Liu; Yingtong Dou; Xueying Ding; Xiyang Hu; Ruitong Zhang; Hao Peng 001; Lichao Sun 001; Philip S. Yu (J. Mach. Learn. Res., 2024)

AD-LLM: Benchmarking Large Language Models for Anomaly Detection. - Tiankai Yang 001; Yi Nian; Li Li 006; Ruiyao Xu; Yuangang Li 002; Jiaqi Li; Zhuo Xiao; Xiyang Hu; Ryan A. Rossi; Kaize Ding; Xia Hu 001; Yue Zhao 016 (ACL (Findings), 2025)

Dynamics of Adversarial Attacks on Large Language Model-Based Search Engines. - Xiyang Hu (CoRR, 2025)

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. - Yue Huang 001; Chujie Gao; Siyuan Wu 001; Haoran Wang 005; Xiangqi Wang; Yujun Zhou 010; Yanbo Wang 005; Jiayi Ye; Jiawen Shi; Qihui Zhang; Yuan Li 032; Han Bao 003; et al. (CoRR, 2025)

Secure On-Device Video OOD Detection Without Backpropagation. - Shawn Li; Peilin Cai; Yuxiao Zhou 006; Zhiyu Ni; Renjie Liang; You Qin; Yi Nian; Zhengzhong Tu; Xiyang Hu; Yue Zhao 016 (CoRR, 2025)

Generative AI in Transportation Planning: A Survey. - Longchao Da; Tiejin Chen; Zhuoheng Li; Shreyas Bachiraju; Huaiyuan Yao; Li Li 006; Yushun Dong; Xiyang Hu; Zhengzhong Tu; Dongjie Wang; Yue Zhao 016; Xuanyu Zhou; et al. (CoRR, 2025)

StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization. - Yiming Tang; Yi Fan; Chenxiao Yu; Tiankai Yang 001; Yue Zhao 016; Xiyang Hu (CoRR, 2025)

Graph Synthetic Out-of-Distribution Exposure with Large Language Models. - Haoyan Xu; Zhengtao Yao; Ziyi Wang; Zhan Cheng; Xiyang Hu; Mengyuan Li; Yue Zhao 016 (CoRR, 2025)

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection. - Tiankai Yang 001; Junjun Liu; Wingchun Siu; Jiahang Wang; Zhuangzhuang Qian; Chanjuan Song; Cheng Cheng 001; Xiyang Hu; Yue Zhao 016 (CoRR, 2025)

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations. - Li Li 006; Peilin Cai; Ryan A. Rossi; Franck Dernoncourt; Branislav Kveton; Junda Wu; Tong Yu 001; Linxin Song; Tiankai Yang 001; Yuehan Qin; Nesreen K. Ahmed; Samyadeep Basu; et al. (CoRR, 2025)

Mitigating Hallucinations in Large Language Models via Causal Reasoning. - Yuangang Li 002; Yiqing Shen; Yi Nian; Jiechao Gao; Ziyi Wang; Chenxiao Yu; Shawn Li; Jie Wang; Xiyang Hu; Yue Zhao 016 (CoRR, 2025)