Yue Zhao

153 papers A* 20A 2B 3Misc 1Journal 103Unranked 24
YearRankTypeTitle / Venue / Authors
2026 J jnl
"Someone Hid It": Query-Agnostic Black-Box Attacks on LLM-Based Retrieval.
CoRR
Jiate Li, Defu Cao, Li Li, Wei Yang, Yuehan Qin, Chenxiao Yu, Tiannuo Yang, Ryan A. Rossi, Yan Liu, Xiyang Hu, Yue Zhao
2026 — conf
A Survey on LLM-based Conversational User Simulation.
EACL (Volume 1: Long Papers)
Bo Ni, Yu Wang, Leyao Wang, Branislav Kveton, Franck Dernoncourt, Yu Xia, Hongjie Chen, Reuben Luera, Samyadeep Basu, Subhojyoti Mukherjee, Puneet Mathur, Nesreen K. Ahmed, Junda Wu, Li Li, Huixin Zhang, Ruiyi Zhang, Tong Yu, Sungchul Kim, Jiuxiang Gu, Zhengzhong Tu, Alexa F. Siu, Zichao Wang, Seunghyun Yoon, Nedim Lipka, Namyong Park, Zihao Lin, Trung Bui, Yue Zhao, Tyler Derr, Ryan A. Rossi
2026 J jnl
Agent Banana: High-Fidelity Image Editing with Agentic Thinking and Tooling.
CoRR
Ruijie Ye, Jiayi Zhang, Zhuoxin Liu, Zihao Zhu, Siyuan Yang, Li Li, Tianfu Fu, Franck Dernoncourt, Yue Zhao, Jiacheng Zhu, Ryan Rossi, Wenhao Chai, Zhengzhong Tu
2026 J jnl
Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation.
CoRR
Zhisheng Qi, Utkarsh Sahu, Li Ma, Haoyu Han, Ryan Rossi, Franck Dernoncourt, Mahantesh Halappanavar, Nesreen K. Ahmed, Yushun Dong, Yue Zhao, Yu Zhang, Yu Wang
2026 A* conf
Can Multimodal LLMs Perform Time Series Anomaly Detection?
WWW
Xiongxiao Xu, Haoran Wang, Yueqing Liang, Philip S. Yu, Yue Zhao, Kai Shu
2026 J jnl
Defenses Against Prompt Attacks Learn Surface Heuristics.
CoRR
Shawn Li, Chenxiao Yu, Zhiyu Ni, Hao Li, Charith Peris, Chaowei Xiao, Yue Zhao
2026 J jnl
Don't Let It Hallucinate: Premise Verification via Retrieval-Augmented Logical Reasoning.
Trans. Mach. Learn. Res.
Yuehan Qin, Li Li, Yi Nian, Xinyan Velocity Yu, Yue Zhao, Xuezhe Ma
2026 J jnl
Human-Aligned MLLM Judges for Fine-Grained Image Editing Evaluation: A Benchmark, Framework, and Analysis.
CoRR
Runzhou Liu, Hailey Weingord, Sejal Mittal, Prakhar Dungarwal, Anusha Nandula, Bo Ni, Samyadeep Basu, Hongjie Chen, Nesreen K. Ahmed, Li Li, Jiayi Zhang, Koustava Goswami, Subhojyoti Mukherjee, Branislav Kveton, Puneet Mathur, Franck Dernoncourt, Yue Zhao, Yu Wang, Ryan A. Rossi, Zhengzhong Tu, Hongru Du
2026 A* conf
Mitigating Hallucinations in Large Language Models via Causal Reasoning.
AAAI
Yuangang Li, Yiqing Shen, Yi Nian, Jiechao Gao, Ziyi Wang, Chenxiao Yu, Li Li, Jie Wang, Xiyang Hu, Yue Zhao
2026 J jnl
Multimodal Generative Engine Optimization: Rank Manipulation for Vision-Language Model Rankers.
CoRR
Yixuan Du, Chenxiao Yu, Haoyan Xu, Ziyi Wang, Yue Zhao, Xiyang Hu
2026 J jnl
When Only the Final Text Survives: Implicit Execution Tracing for Multi-Agent Attribution.
CoRR
Yi Nian, Haosen Cao, Shenzhe Zhu, Henry Peng Zou, Qingqing Luan, Yue Zhao
2025 J jnl
A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations.
CoRR
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
2025 J jnl
A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments.
CoRR
Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, Yue Zhao, Yushun Dong
2025 — conf
A Survey on Model Extraction Attacks and Defenses for Large Language Models.
KDD (2)
Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, Yue Zhao, Yushun Dong
2025 J jnl
A Survey on Model Extraction Attacks and Defenses for Large Language Models.
CoRR
Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, Yue Zhao, Yushun Dong
2025 J jnl
A Systematic Study of Model Extraction Attacks on Graph Foundation Models.
CoRR
Haoyan Xu, Ruizhi Qian, Jiate Li, Yushun Dong, Minghao Lin, Hanson Yan, Zhengtao Yao, Qinghua Liu, Junhao Dong, Ruopeng Huang, Yue Zhao, Mengyuan Li
2025 J jnl
A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives.
CoRR
Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, Yue Zhao, Yushun Dong
2025 — conf
AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection.
IJCNLP-AACL (Findings)
Tiankai Yang, Junjun Liu, Michael Siu, Jiahang Wang, Zhuangzhuang Qian, Chanjuan Song, Cheng Cheng, Xiyang Hu, Yue Zhao
2025 J jnl
AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection.
CoRR
Tiankai Yang, Junjun Liu, Wingchun Siu, Jiahang Wang, Zhuangzhuang Qian, Chanjuan Song, Cheng Cheng, Xiyang Hu, Yue Zhao
2025 — conf
AD-LLM: Benchmarking Large Language Models for Anomaly Detection.
ACL (Findings)
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
2025 J jnl
Can Molecular Foundation Models Know What They Don't Know? A Simple Remedy with Preference Optimization.
CoRR
Langzhou He, Junyou Zhu, Fangxin Wang, Junhua Liu, Haoyan Xu, Yue Zhao, Philip S. Yu, Qitian Wu
2025 J jnl
Can Multimodal LLMs Perform Time Series Anomaly Detection?
CoRR
Xiongxiao Xu, Haoran Wang, Yueqing Liang, Philip S. Yu, Yue Zhao, Kai Shu
2025 J jnl
Charts Are Not Images: On the Challenges of Scientific Chart Editing.
CoRR
Shawn Li, Ryan A. Rossi, Sungchul Kim, Sunav Choudhary, Franck Dernoncourt, Puneet Mathur, Zhengzhong Tu, Yue Zhao
2025 J jnl
ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models.
CoRR
Shixuan Li, Wei Yang, Peiyu Zhang, Xiongye Xiao, Defu Cao, Yuehan Qin, Xiaole Zhang, Yue Zhao, Paul Bogdan
2025 A* conf
DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection.
CVPR
Shawn Li, Huixian Gong, Hao Dong, Tiankai Yang, Zhengzhong Tu, Yue Zhao
2025 J jnl
DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning.
CoRR
Chengxuan Qian, Shuo Xing, Shawn Li, Yue Zhao, Zhengzhong Tu
2025 J jnl
Don't Let It Hallucinate: Premise Verification via Retrieval-Augmented Logical Reasoning.
CoRR
Yuehan Qin, Shawn Li, Yi Nian, Xinyan Velocity Yu, Yue Zhao, Xuezhe Ma
2025 J jnl
Doxing via the Lens: Revealing Privacy Leakage in Image Geolocation for Agentic Multi-Modal Large Reasoning Model.
CoRR
Weidi Luo, Qiming Zhang, Tianyu Lu, Xiaogeng Liu, Yue Zhao, Zhen Xiang, Chaowei Xiao
2025 J jnl
DyFlow: Dynamic Workflow Framework for Agentic Reasoning.
CoRR
Yanbo Wang, Zixiang Xu, Yue Huang, Xiangqi Wang, Zirui Song, Lang Gao, Chenxi Wang, Xiangru Tang, Yue Zhao, Arman Cohan, Xiangliang Zhang, Xiuying Chen
2025 A* conf
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing.
CVPR
Hanhui Wang, Yihua Zhang, Ruizheng Bai, Yue Zhao, Sijia Liu, Zhengzhong Tu
2025 J jnl
Efficient Model Selection for Time Series Forecasting via LLMs.
CoRR
Wang Wei, Tiankai Yang, Hongjie Chen, Ryan A. Rossi, Yue Zhao, Franck Dernoncourt, Hoda Eldardiry
2025 — conf
Few-Shot Graph Out-of-Distribution Detection with LLMs.
ECML/PKDD (4)
Haoyan Xu, Zhengtao Yao, Yushun Dong, Ziyi Wang, Ryan A. Rossi, Mengyuan Li, Yue Zhao
2025 J jnl
Few-Shot Graph Out-of-Distribution Detection with LLMs.
CoRR
Haoyan Xu, Zhengtao Yao, Yushun Dong, Ziyi Wang, Ryan A. Rossi, Mengyuan Li, Yue Zhao
2025 — conf
From Selection to Generation: A Survey of LLM-based Active Learning.
ACL (1)
Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, Junda Wu, Xintong Li, Ryan Aponte, Hanjia Lyu, Joe Barrow, Hongjie Chen, Franck Dernoncourt, Branislav Kveton, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Sungchul Kim, Zhengmian Hu, Yue Zhao, Nedim Lipka, Seunghyun Yoon, Ting-Hao Kenneth Huang, Zichao Wang, Puneet Mathur, Soumyabrata Pal, Koyel Mukherjee, Zhehao Zhang, Namyong Park, Thien Huu Nguyen, Jiebo Luo, Ryan A. Rossi, Julian J. McAuley
2025 J jnl
From Selection to Generation: A Survey of LLM-based Active Learning.
CoRR
Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, Junda Wu, Xintong Li, Ryan Aponte, Hanjia Lyu, Joe Barrow, Hongjie Chen, Franck Dernoncourt, Branislav Kveton, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Sungchul Kim, Zhengmian Hu, Yue Zhao, Nedim Lipka, Seunghyun Yoon, Ting-Hao Kenneth Huang, Zichao Wang, Puneet Mathur, Soumyabrata Pal, Koyel Mukherjee, Zhehao Zhang, Namyong Park, Thien Huu Nguyen, Jiebo Luo, Ryan A. Rossi, Julian J. McAuley
2025 J jnl
GLIP-OOD: Zero-Shot Graph OOD Detection with Foundation Model.
CoRR
Haoyan Xu, Zhengtao Yao, Xuzhi Zhang, Ziyi Wang, Langzhou He, Yushun Dong, Philip S. Yu, Mengyuan Li, Yue Zhao
2025 J jnl
Generative AI in Transportation Planning: A Survey.
CoRR
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
2025 J jnl
Graph Synthetic Out-of-Distribution Exposure with Large Language Models.
CoRR
Haoyan Xu, Zhengtao Yao, Ziyi Wang, Zhan Cheng, Xiyang Hu, Mengyuan Li, Yue Zhao
2025 J jnl
JailDAM: Jailbreak Detection with Adaptive Memory for Vision-Language Model.
CoRR
Yi Nian, Shenzhe Zhu, Yuehan Qin, Li Li, Ziyi Wang, Chaowei Xiao, Yue Zhao
2025 J jnl
LEGO-Learn: Label-Efficient Graph Open-Set Learning.
Trans. Mach. Learn. Res.
Haoyan Xu, Kay Liu, Zhengtao Yao, Philip S. Yu, Mengyuan Li, Kaize Ding, Yue Zhao
2025 — conf
LLM-Empowered Patient-Provider Communication: A Data-Centric Survey From a Clinical Perspective.
IJCNLP-AACL (Findings)
Ruosi Shao, Md Shamim Seraj, Kangyi Zhao, Yingtao Luo, Lincan Li, Bolin Shen, Averi Bates, Yue Zhao, Chongle Pan, Lisa Hightow-Weidman, Shayok Chakraborty, Yushun Dong
2025 J jnl
LLM-Powered Text-Attributed Graph Anomaly Detection via Retrieval-Augmented Reasoning.
CoRR
Haoyan Xu, Ruizhi Qian, Zhengtao Yao, Ziyi Liu, Li Li, Yuqi Li, Yanshu Li, Wenqing Zheng, Daniele Rosa, Daniel Barcklow, Senthil Kumar, Jieyu Zhao, Yue Zhao
2025 J jnl
Learning from the Storm: A Multivariate Machine Learning Approach to Predicting Hurricane-Induced Economic Losses.
CoRR
Bolin Shen, Eren Erman Ozguven, Yue Zhao, Guang Wang, Yiqun Xie, Yushun Dong
2025 J jnl
Learning to Route LLMs from Bandit Feedback: One Policy, Many Trade-offs.
CoRR
Wang Wei, Tiankai Yang, Hongjie Chen, Yue Zhao, Franck Dernoncourt, Ryan A. Rossi, Hoda Eldardiry
2025 J jnl
M3OOD: Automatic Selection of Multimodal OOD Detectors.
CoRR
Yuehan Qin, Li Li, Defu Cao, Tiankai Yang, Yue Zhao
2025 A* conf
MetaOOD: Automatic Selection of OOD Detection Models.
ICLR
Yuehan Qin, Yichi Zhang, Yi Nian, Xueying Ding, Yue Zhao
2025 J jnl
Mitigating Hallucinations in Large Language Models via Causal Reasoning.
CoRR
Yuangang Li, Yiqing Shen, Yi Nian, Jiechao Gao, Ziyi Wang, Chenxiao Yu, Shawn Li, Jie Wang, Xiyang Hu, Yue Zhao
2025 — conf
NLP-ADBench: NLP Anomaly Detection Benchmark.
EMNLP (Findings)
Yuangang Li, Jiaqi Li, Zhuo Xiao, Tiankai Yang, Yi Nian, Xiyang Hu, Yue Zhao
2025 J jnl
NNG-Mix: Improving Semi-Supervised Anomaly Detection With Pseudo-Anomaly Generation.
IEEE Trans. Neural Networks Learn. Syst.
Hao Dong, Gaëtan Frusque, Yue Zhao, Eleni N. Chatzi, Olga Fink
2025 — conf
Navigating Between Explainability and Extractability in Machine Learning as a Service.
ICDM (Workshops)
Ojas Nimase, Yue Zhao, Yushun Dong
2025 J jnl
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective.
CoRR
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
2025 — conf
PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection.
WWW (Companion Volume)
Sihan Chen, Zhuangzhuang Qian, Wingchun Siu, Xingcan Hu, Jiaqi Li, Shawn Li, Yuehan Qin, Tiankai Yang, Zhuo Xiao, Wanghao Ye, Yichi Zhang, Yushun Dong, Yue Zhao
2025 — conf
Retrieval-Reasoning Large Language Model-based Synthetic Clinical Trial Generation.
BCB
Zerui Xu, Fang Wu, Yingzhou Lu, Yuanyuan Zhang, Yue Zhao
2025 B conf
Score Matching on Large Geometric Graphs for Cosmology Generation.
DS
Diana-Alexandra Onutu, Yue Zhao, Joaquin Vanschoren, Vlado Menkovski
2025 J jnl
Score Matching on Large Geometric Graphs for Cosmology Generation.
CoRR
Diana-Alexandra Onutu, Yue Zhao, Joaquin Vanschoren, Vlado Menkovski
2025 J jnl
Secure On-Device Video OOD Detection Without Backpropagation.
CoRR
Shawn Li, Peilin Cai, Yuxiao Zhou, Zhiyu Ni, Renjie Liang, You Qin, Yi Nian, Zhengzhong Tu, Xiyang Hu, Yue Zhao
2025 J jnl
SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models.
CoRR
Zixiang Xu, Yanbo Wang, Yue Huang, Jiayi Ye, Haomin Zhuang, Zirui Song, Lang Gao, Chenxi Wang, Zhaorun Chen, Yujun Zhou, Sixian Li, Wang Pan, Yue Zhao, Jieyu Zhao, Xiangliang Zhang, Xiuying Chen
2025 J jnl
StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization.
CoRR
Yiming Tang, Yi Fan, Chenxiao Yu, Tiankai Yang, Yue Zhao, Xiyang Hu
2025 J jnl
TAGFN: A Text-Attributed Graph Dataset for Fake News Detection in the Age of LLMs.
CoRR
Kay Liu, Yuwei Han, Haoyan Xu, Henry Peng Zou, Yue Zhao, Philip S. Yu
2025 — conf
TRUSTEVAL: A Dynamic Evaluation Toolkit on Trustworthiness of Generative Foundation Models.
NAACL (System Demonstrations)
Yanbo Wang, Jiayi Ye, Siyuan Wu, Chujie Gao, Yue Huang, Xiuying Chen, Yue Zhao, Xiangliang Zhang
2025 J jnl
The Role of Computing Resources in Publishing Foundation Model Research.
CoRR
Yuexing Hao, Yue Huang, Haoran Zhang, Chenyang Zhao, Zhenwen Liang, Paul Pu Liang, Yue Zhao, Lichao Sun, Saleh Kalantari, Xiangliang Zhang, Marzyeh Ghassemi
2025 J jnl
Topology Matters: Measuring Memory Leakage in Multi-Agent LLMs.
CoRR
Jinbo Liu, Defu Cao, Yifei Wei, Tianyao Su, Yuan Liang, Yushun Dong, Yue Zhao, Xiyang Hu
2025 — conf
Treble Counterfactual VLMs: A Causal Approach to Hallucination.
EMNLP (Findings)
Li Li, Jiashu Qu, Linxin Song, Yuxiao Zhou, Yuehan Qin, Tiankai Yang, Yue Zhao
2025 J jnl
Treble Counterfactual VLMs: A Causal Approach to Hallucination.
CoRR
Shawn Li, Jiashu Qu, Yuxiao Zhou, Yuehan Qin, Tiankai Yang, Yue Zhao
2025 — conf
TyphoFormer: Language-Augmented Transformer for Accurate Typhoon Track Forecasting.
SIGSPATIAL/GIS
Lincan Li, Eren Erman Ozguven, Yue Zhao, Guang Wang, Yiqun Xie, Yushun Dong
2025 J jnl
TyphoFormer: Language-Augmented Transformer for Accurate Typhoon Track Forecasting.
CoRR
Lincan Li, Eren Erman Ozguven, Yue Zhao, Guang Wang, Yiqun Xie, Yushun Dong
2024 J jnl
A Large-scale Empirical Study on Large Language Models for Election Prediction.
CoRR
Chenxiao Yu, Zhaotian Weng, Yuangang Li, Zheng Li, Xiyang Hu, Yue Zhao
2024 J jnl
AD-LLM: Benchmarking Large Language Models for Anomaly Detection.
CoRR
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
2024 J jnl
COOD: Concept-based Zero-shot OOD Detection.
CoRR
Zhendong Liu, Yi Nian, Henry Peng Zou, Li Li, Xiyang Hu, Yue Zhao
2024 J jnl
DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection.
CoRR
Shawn Li, Huixian Gong, Hao Dong, Tiankai Yang, Zhengzhong Tu, Yue Zhao
2024 J jnl
Diffusion Models: A Comprehensive Survey of Methods and Applications.
ACM Comput. Surv.
Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Wentao Zhang, Bin Cui, Ming-Hsuan Yang
2024 J jnl
DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration.
CoRR
Sizhe Liu, Yizhou Lu, Siyu Chen, Xiyang Hu, Jieyu Zhao, Tianfan Fu, Yue Zhao
2024 J jnl
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing.
CoRR
Hanhui Wang, Yihua Zhang, Ruizheng Bai, Yue Zhao, Sijia Liu, Zhengzhong Tu
2024 A* conf
Fast Unsupervised Deep Outlier Model Selection with Hypernetworks.
KDD
Xueying Ding, Yue Zhao, Leman Akoglu
2024 J jnl
H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications.
CoRR
Jiechao Gao, Yuangang Li, Yue Zhao, Brad Campbell
2024 — conf
HPOD: Hyperparameter Optimization for Unsupervised Outlier Detection.
AutoML
Yue Zhao, Leman Akoglu
2024 J jnl
LEGO-Learn: Label-Efficient Graph Open-Set Learning.
CoRR
Haoyan Xu, Kay Liu, Zhengtao Yao, Philip S. Yu, Kaize Ding, Yue Zhao
2024 J jnl
MetaOOD: Automatic Selection of OOD Detection Models.
CoRR
Yuehan Qin, Yichi Zhang, Yi Nian, Xueying Ding, Yue Zhao
2024 A* conf
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities.
NeurIPS
Hao Dong, Yue Zhao, Eleni N. Chatzi, Olga Fink
2024 J jnl
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities.
CoRR
Hao Dong, Yue Zhao, Eleni N. Chatzi, Olga Fink
2024 J jnl
NLP-ADBench: NLP Anomaly Detection Benchmark.
CoRR
Yuangang Li, Jiaqi Li, Zhuo Xiao, Tiankai Yang, Yi Nian, Xiyang Hu, Yue Zhao
2024 J jnl
Personalized Multimodal Large Language Models: A Survey.
CoRR
Junda Wu, Hanjia Lyu, Yu Xia, Zhehao Zhang, Joe Barrow, Ishita Kumar, Mehrnoosh Mirtaheri, Hongjie Chen, Ryan A. Rossi, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Namyong Park, Sungchul Kim, Huanrui Yang, Subrata Mitra, Zhengmian Hu, Nedim Lipka, Dang Nguyen, Yue Zhao, Jiebo Luo, Julian J. McAuley
2024 J jnl
Political-LLM: Large Language Models in Political Science.
CoRR
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
2024 A* conf
Position: TrustLLM: Trustworthiness in Large Language Models.
ICML
Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao
2024 A* conf
Preference Optimization for Molecule Synthesis with Conditional Residual Energy-based Models.
ICML
Songtao Liu, Hanjun Dai, Yue Zhao, Peng Liu
2024 J jnl
Preference Optimization for Molecule Synthesis with Conditional Residual Energy-based Models.
CoRR
Songtao Liu, Hanjun Dai, Yue Zhao, Peng Liu
2024 J jnl
PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection.
CoRR
Sihan Chen, Zhuangzhuang Qian, Wingchun Siu, Xingcan Hu, Jiaqi Li, Shawn Li, Yuehan Qin, Tiankai Yang, Zhuo Xiao, Wanghao Ye, Yichi Zhang, Yushun Dong, Yue Zhao
2024 J jnl
Retrieval-Reasoning Large Language Model-based Synthetic Clinical Trial Generation.
CoRR
Zerui Xu, Fang Wu, Tianfan Fu, Yue Zhao
2024 J jnl
Towards More Accurate US Presidential Election via Multi-step Reasoning with Large Language Models.
CoRR
Chenxiao Yu, Zhaotian Weng, Yuangang Li, Zheng Li, Xiyang Hu, Yue Zhao
2024 A* conf
Towards Reproducible, Automated, and Scalable Anomaly Detection.
AAAI
Yue Zhao
2024 J jnl
TrustLLM: Trustworthiness in Large Language Models.
CoRR
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
2023 A* conf
ADGym: Design Choices for Deep Anomaly Detection.
NeurIPS
Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao
2023 J jnl
ADGym: Design Choices for Deep Anomaly Detection.
CoRR
Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao
2023 A* conf
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels.
AAAI
Yue Zhao, Guoqing Zheng, Subhabrata Mukherjee, Robert McCann, Ahmed Awadallah
2023 — conf
DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection.
ECML/PKDD (1)
Jaemin Yoo, Yue Zhao, Lingxiao Zhao, Leman Akoglu
2023 J jnl
DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection.
CoRR
Jaemin Yoo, Yue Zhao, Lingxiao Zhao, Leman Akoglu
2023 A* conf
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks.
ICML
Peng Xu, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqin Yang, Bei Yu
2023 J jnl
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks.
CoRR
Peng Xu, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqing Yang, Bei Yu
2023 J jnl
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions.
IEEE Trans. Knowl. Data Eng.
Zheng Li, Yue Zhao, Xiyang Hu, Nicola Botta, Cezar Ionescu, George H. Chen
2023 J jnl
Fast Unsupervised Deep Outlier Model Selection with Hypernetworks.
CoRR
Xueying Ding, Yue Zhao, Leman Akoglu
2023 J jnl
GenoCraft: A Comprehensive, User-Friendly Web-Based Platform for High-Throughput Omics Data Analysis and Visualization.
CoRR
Yingzhou Lu, Minjie Shen, Yue Zhao, Chenhao Li, Fan Meng, Xiao Wang, David M. Herrington, Yue Wang, Tim Fu, Capucine Van Rechem
2023 J jnl
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation.
CoRR
Hao Dong, Gaëtan Frusque, Yue Zhao, Eleni N. Chatzi, Olga Fink
2023 J jnl
The Need for Unsupervised Outlier Model Selection: A Review and Evaluation of Internal Evaluation Strategies.
SIGKDD Explor.
Martin Q. Ma, Yue Zhao, Xiaorong Zhang, Leman Akoglu
2023 J jnl
Weakly Supervised Anomaly Detection: A Survey.
CoRR
Minqi Jiang, Chaochuan Hou, Ao Zheng, Xiyang Hu, Songqiao Han, Hailiang Huang, Xiangnan He, Philip S. Yu, Yue Zhao
2022 A* conf
ADBench: Anomaly Detection Benchmark.
NeurIPS
Songqiao Han, Xiyang Hu, Hailiang Huang, Minqi Jiang, Yue Zhao
2022 J jnl
ADBench: Anomaly Detection Benchmark.
CoRR
Songqiao Han, Xiyang Hu, Hailiang Huang, Mingqi Jiang, Yue Zhao
2022 J jnl
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels.
CoRR
Yue Zhao, Guoqing Zheng, Subhabrata Mukherjee, Robert McCann, Ahmed Awadallah
2022 A* conf
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs.
NeurIPS
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
2022 J jnl
Benchmarking Node Outlier Detection on Graphs.
CoRR
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
2022 — conf
Contrastive Attributed Network Anomaly Detection with Data Augmentation.
PAKDD (2)
Zhiming Xu, Xiao Huang, Yue Zhao, Yushun Dong, Jundong Li
2022 J jnl
Diffusion Models: A Comprehensive Survey of Methods and Applications.
CoRR
Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Ming-Hsuan Yang, Bin Cui
2022 J jnl
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions.
CoRR
Zheng Li, Yue Zhao, Xiyang Hu, Nicola Botta, Cezar Ionescu, George H. Chen
2022 J jnl
PyGOD: A Python Library for Graph Outlier Detection.
CoRR
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
2022 J jnl
TOD: GPU-accelerated Outlier Detection via Tensor Operations.
Proc. VLDB Endow.
Yue Zhao, George H. Chen, Zhihao Jia
2022 A* conf
Toward Unsupervised Outlier Model Selection.
ICDM
Yue Zhao, Sean Zhang, Leman Akoglu
2022 J jnl
Toward Unsupervised Outlier Model Selection.
CoRR
Yue Zhao, Sean Zhang, Leman Akoglu
2022 J jnl
Towards Unsupervised HPO for Outlier Detection.
CoRR
Yue Zhao, Leman Akoglu
2021 J jnl
A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice?
CoRR
Martin Q. Ma, Yue Zhao, Xiaorong Zhang, Leman Akoglu
2021 A* conf
Automatic Unsupervised Outlier Model Selection.
NeurIPS
Yue Zhao, Ryan A. Rossi, Leman Akoglu
2021 J jnl
PyHealth: A Python Library for Health Predictive Models.
CoRR
Yue Zhao, Zhi Qiao, Cao Xiao, Lucas Glass, Jimeng Sun
2021 — conf
Revisiting Time Series Outlier Detection: Definitions and Benchmarks.
NeurIPS Datasets and Benchmarks
Kwei-Herng Lai, Daochen Zha, Junjie Xu, Yue Zhao, Guanchu Wang, Xia Ben Hu
2021 — conf
SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection.
MLSys
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
2021 J jnl
TOD: Tensor-based Outlier Detection.
CoRR
Yue Zhao, George H. Chen, Zhihao Jia
2021 A* conf
TODS: An Automated Time Series Outlier Detection System.
AAAI
Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Ben Hu
2021 — conf
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development.
NeurIPS Datasets and Benchmarks
Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf H. Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik
2021 J jnl
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics.
CoRR
Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf H. Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik
2020 — conf
A data denoising approach to optimize functional clustering of single cell RNA-sequencing data.
BIBM
Changlin Wan, Dongya Jia, Yue Zhao, Wennan Chang, Sha Cao, Xiao Wang, Chi Zhang
2020 — conf
AutoAudit: Mining Accounting and Time-Evolving Graphs.
IEEE BigData
Meng-Chieh Lee, Yue Zhao, Aluna Wang, Pierre Jinghong Liang, Leman Akoglu, Vincent S. Tseng, Christos Faloutsos
2020 J jnl
AutoAudit: Mining Accounting and Time-Evolving Graphs.
CoRR
Meng-Chieh Lee, Yue Zhao, Aluna Wang, Pierre Jinghong Liang, Leman Akoglu, Vincent S. Tseng, Christos Faloutsos
2020 J jnl
Automating Outlier Detection via Meta-Learning.
CoRR
Yue Zhao, Ryan A. Rossi, Leman Akoglu
2020 A* conf
COPOD: Copula-Based Outlier Detection.
ICDM
Zheng Li, Yue Zhao, Nicola Botta, Cezar Ionescu, Xiyang Hu
2020 J jnl
COPOD: Copula-Based Outlier Detection.
CoRR
Zheng Li, Yue Zhao, Nicola Botta, Cezar Ionescu, Xiyang Hu
2020 A* conf
Combining Machine Learning Models Using combo Library.
AAAI
Yue Zhao, Xuejian Wang, Cheng Cheng, Xueying Ding
2020 A conf
Dsr: An Accurate Single Image Super Resolution Approach For Various Degradations.
ICME
Yiqun Mei, Yue Zhao, Wei Liang
2020 J jnl
SUOD: A Scalable Unsupervised Outlier Detection Framework.
CoRR
Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Cao Xiao, Yunlong Wang, Jimeng Sun, Leman Akoglu
2020 J jnl
SUOD: Toward Scalable Unsupervised Outlier Detection.
CoRR
Yue Zhao, Xueying Ding, Jianing Yang, Haoping Bai
2020 J jnl
SYNC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources.
CoRR
Zheng Li, Yue Zhao, Jialin Fu
2020 — conf
SynC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources.
ICDM (Workshops)
Zheng Li, Yue Zhao, Jialin Fu
2020 J jnl
TODS: An Automated Time Series Outlier Detection System.
CoRR
Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Ben Hu
2019 J jnl
Combining Machine Learning Models using combo Library.
CoRR
Yue Zhao, Xuejian Wang, Cheng Cheng, Xueying Ding
2019 J jnl
DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles.
CoRR
Yue Zhao, Maciej K. Hryniewicki
2019 A conf
LSCP: Locally Selective Combination in Parallel Outlier Ensembles.
SDM
Yue Zhao, Zain Nasrullah, Maciej K. Hryniewicki, Zheng Li
2019 B conf
Music Artist Classification with Convolutional Recurrent Neural Networks.
IJCNN
Zain Nasrullah, Yue Zhao
2019 J jnl
Music Artist Classification with Convolutional Recurrent Neural Networks.
CoRR
Zain Nasrullah, Yue Zhao
2019 J jnl
PyOD: A Python Toolbox for Scalable Outlier Detection.
CoRR
Yue Zhao, Zain Nasrullah, Zheng Li
2019 J jnl
PyOD: A Python Toolbox for Scalable Outlier Detection.
J. Mach. Learn. Res.
Yue Zhao, Zain Nasrullah, Zheng Li
2019 J jnl
SynC: A Unified Framework for Generating Synthetic Population with Gaussian Copula.
CoRR
Colin Wan, Zheng Li, Yue Zhao
2019 J jnl
XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning.
CoRR
Yue Zhao, Maciej K. Hryniewicki
2018 — conf
Employee Turnover Prediction with Machine Learning: A Reliable Approach.
IntelliSys (2)
Yue Zhao, Maciej K. Hryniewicki, Francesca Cheng, Boyang Fu, Xiaoyu Zhu
2018 J jnl
LSCP: Locally Selective Combination in Parallel Outlier Ensembles.
CoRR
Yue Zhao, Maciej K. Hryniewicki, Zain Nasrullah, Zheng Li
2018 B conf
XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning.
IJCNN
Yue Zhao, Maciej K. Hryniewicki
2017 Misc conf
An empirical study of touch-based authentication methods on smartwatches.
ISWC
Yue Zhao, Zhongtian Qiu, Yiqing Yang, Weiwei Li, Mingming Fan
2017 J jnl
An empirical study of touch-based authentication methods on smartwatches.
CoRR
Yue Zhao, Zhongtian Qiu, Yiqing Yang, Weiwei Li, Mingming Fan