Xiyang Hu

According to our database, Xiyang Hu authored at least 49 papers between 2019 and 2026.

Collaborative distances:

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

2026

Do Vision Language Models Understand Human Engagement in Games?

Ziyi Wang, Qizan Guo, Rishitosh Singh, Xiyang Hu

CoRR, March, 2026

Language Shapes Mental Health Evaluations in Large Language Models.

Jiayi Xu, Xiyang Hu

CoRR, March, 2026

"Someone Hid It": Query-Agnostic Black-Box Attacks on LLM-Based Retrieval.

Jiate Li, Defu Cao, Li Li, Wei Yang, Yuehan Qin, Chenxiao Yu, Tiannuo Yang, Ryan A. Rossi, Yan Liu, Xiyang Hu, Yue Zhao

CoRR, February, 2026

Fairness or Fluency? An Investigation into Language Bias of Pairwise LLM-as-a-Judge.

Xiaolin Zhou, Zheng Luo, Yicheng Gao, Qixuan Chen, Xiyang Hu, Yue Zhao, Ruishan Liu

CoRR, January, 2026

Multimodal Generative Engine Optimization: Rank Manipulation for Vision-Language Model Rankers.

Yixuan Du, Chenxiao Yu, Haoyan Xu, Ziyi Wang, Yue Zhao, Xiyang Hu

CoRR, January, 2026

Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models.

Zheng Luo, Thirulogasankar Pranav Kutralingam, Ogochukwu N. Okoani, Wanpeng Xu, Hua Wei, Xiyang Hu

CoRR, January, 2026

Value-Action Alignment in Large Language Models under Privacy-Prosocial Conflict.

Guanyu Chen, Chenxiao Yu, Xiyang Hu

CoRR, January, 2026

Human-Algorithmic Bias: Source, Evolution, and Impact.

Xiyang Hu, Yan Huang, Beibei Li, Tian Lu

Manag. Sci., 2026

Mitigating Hallucinations in Large Language Models via Causal Reasoning.

Yuangang Li, Yiqing Shen, Yi Nian, Jiechao Gao, Ziyi Wang, Chenxiao Yu, Li Li, Jie Wang, Xiyang Hu, Yue Zhao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Topology Matters: Measuring Memory Leakage in Multi-Agent LLMs.

Jinbo Liu, Defu Cao, Yifei Wei, Tianyao Su, Yuan Liang, Yushun Dong, Yue Zhao, Xiyang Hu

CoRR, December, 2025

Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization.

Tiancheng Xing, Jerry Li, Yixuan Du, Xiyang Hu

CoRR, October, 2025

Mitigating Hallucinations in Large Language Models via Causal Reasoning.

Yuangang Li, Yiqing Shen, Yi Nian, Jiechao Gao, Ziyi Wang, Chenxiao Yu, Shawn Li, Jie Wang, Xiyang Hu, Yue Zhao

CoRR, August, 2025

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations.

Li Li, Peilin Cai, Ryan A. Rossi, Franck Dernoncourt, Branislav Kveton, Junda Wu, Tong Yu, Linxin Song, Tiankai Yang, Yuehan Qin, Nesreen K. Ahmed, Samyadeep Basu, Subhojyoti Mukherjee, Ruiyi Zhang, Zhengmian Hu, Bo Ni, Yuxiao Zhou, Zichao Wang, Yue Huang, Yu Wang, Xiangliang Zhang, Philip S. Yu, Xiyang Hu, Yue Zhao

CoRR, May, 2025

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection.

Tiankai Yang, Junjun Liu, Wingchun Siu, Jiahang Wang, Zhuangzhuang Qian, Chanjuan Song, Cheng Cheng, Xiyang Hu, Yue Zhao

CoRR, May, 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

CoRR, April, 2025

StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization.

Yiming Tang, Yi Fan, Chenxiao Yu, Tiankai Yang, Yue Zhao, Xiyang Hu

CoRR, April, 2025

Generative AI in Transportation Planning: A Survey.

Longchao Da, Tiejin Chen, Zhuoheng Li, Shreyas Bachiraju, Huaiyuan Yao, Li Li, Yushun Dong, Xiyang Hu, Zhengzhong Tu, Dongjie Wang, Yue Zhao, Xuanyu Zhou, Ram Pendyala, Benjamin Stabler, Yezhou Yang, Xuesong Zhou, Hua Wei

CoRR, March, 2025

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective.

Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang

CoRR, February, 2025

Dynamics of Adversarial Attacks on Large Language Model-Based Search Engines.

Xiyang Hu

CoRR, January, 2025

Spatially Aware Mixture of Propagation for Air Quality Prediction.

Xiyang Hu, Hua Yan, Yu Yang

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Spatial Intelligence for Smart and Connected Communities, 2025

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection.

Tiankai Yang, Junjun Liu, Michael Siu, Jiahang Wang, Zhuangzhuang Qian, Chanjuan Song, Cheng Cheng, Xiyang Hu, Yue Zhao

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Secure On-Device Video OOD Detection without Backpropagation.

Shawn Li, Peilin Cai, Yuxiao Zhou, Zhiyu Ni, Renjie Liang, You Qin, Yi Nian, Zhengzhong Tu, Xiyang Hu, Yue Zhao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

NLP-ADBench: NLP Anomaly Detection Benchmark.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

AD-LLM: Benchmarking Large Language Models for Anomaly Detection.

Tiankai Yang, Yi Nian, Li Li, Ruiyao Xu, Yuangang Li, Jiaqi Li, Zhuo Xiao, Xiyang Hu, Ryan A. Rossi, Kaize Ding, Xia Hu, Yue Zhao

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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

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