📚 Publications
See my Google Scholar ,
DBLP ,
ORCID ,
and ResearchGate for the full publication list.
Use Yue Zhao BibTeX (single file) for copy/paste.
† Equal contribution and ♠ Corresponding author for multi-first/corresponding author papers.
This list emphasizes work on auditable AI systems at three levels: agent action
(auditability and control of agent systems across their lifecycle), model behavior
(trust and robustness evaluation of foundation models), and input distribution
(anomaly and out-of-distribution detection).
Preprints & Working Papers
2026
WeClawArena: An Auditable Sandbox and Benchmark for Cross-User Agents Collaboration and Security in Human-Centered Agent Networks .
Prince Zizhuang Wang, Aojie Yuan, Haiyue Zhang, Xiyang Hu, Yue Zhao , and Shuli Jiang
arXiv preprint (2026 )
JigShape: Evaluating Visual-Geometric Reasoning in VLMs through Jigsaw Puzzles .
Shawn Li, Wei Yang, Jike Zhong, Jiate Li, Jiawei Yang, You Qin, Ryan Rossi, Franck Dernoncourt, Roger Zimmermann, Yue Wang, Zhengzhong Tu, Vicente Ordonez, Mohit Bansal, and Yue Zhao
arXiv preprint (2026 )
MemoHarness: Agent Harnesses That Learn from Experience .
Yue Huang, Wenjie Wang, Han Bao, Yuchen Ma, Xiaonan Luo, Yi Nian, Haomin Zhuang, Zheyuan Liu, Yue Zhao , Xiangliang Zhang
arXiv preprint (2026 )
SkillCenter: A Large-Scale Source-Grounded Skill Library for Autonomous AI Agents .
Tianming Sha, Yue Zhao , Lichao Sun, Yushun Dong
arXiv preprint (2026 )
Agent Safety Is Action Alignment .
Shawn Li, Yue Zhao
arXiv preprint (2026 )
GRADE: Graph Representation of LLM Agent Dependency and Execution .
Yue Zhao
arXiv preprint (2026 )
SpecAlign: Efficient Specification-Grounded Alignment of Large Language Models via Synthetic Data .
Wenjie Wang, Yue Huang, Zhengqing Yuan, Han Bao, Shiyi Du, Yuchen Ma, Yue Zhao , Yanfang Ye, Xiangliang Zhang
arXiv preprint (2026 )
DOG-DPO: Dynamic Optimization in Geometry for Safety Alignment .
Yi Nian, Tiankai Yang, Yudi Zhang, Qi Pan, Zelong Xu, Shenzhe Zhu, Qingqing Luan, Yue Huang, Xiangliang Zhang, Yue Zhao
arXiv preprint (2026 )
MaskForge: Structure-Aware Adaptive Attacks for Jailbreaking Diffusion Large Language Models .
Yingzi Ma, Zhengyue Zhao, Xiaogeng Liu, Minhui Xue, Yue Zhao , Chaowei Xiao
arXiv preprint (2026 )
Memory Retrieval for Changing Preferences .
Yuehan Qin, Li Li, Linxin Song, Wei Yang, Jiate Li, Yuqing Yang, Yue Zhao
arXiv preprint (2026 )
Can Subgraph Explanations Be Weaponized to Steal Graph Neural Networks? .
Ojas Nimase, Jiate Li, Yue Zhao , Yushun Dong
arXiv preprint (2026 )
GEO-Bench: Benchmarking Ranking Manipulation in Generative Engine Optimization .
Ojas Nimase, Zhe Chen, Gengpei Qi, Yue Zhao , Xiyang Hu
arXiv preprint (2026 )
CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows? .
Haolin Chen, Deon Metelski, Leon Qi, Tao Xia, Joonyul Lee, Steve Brown, Kevin Riley, Frank Wang, T. Y. Alvin Liu, Hank Capps MD, Zeyu Tang, Xiangchen Song, Lingjing Kong, Fan Feng, Tianyi Zeng, Zhiwei Liu, Zixian Ma, Hang Jiang, Fangli Geng, Yuan Yuan, Chenyu You, Qingsong Wen, Hua Wei, Yanjie Fu, Yue Zhao , Carl Yang, Biwei Huang, Kun Zhang, Caiming Xiong, Sanmi Koyejo, Eric P. Xing, Philip S. Yu, Weiran Yao
arXiv preprint (2026 )
FORTIS: Benchmarking Over-Privilege in Agent Skills .
Shawn Li, Chenxiao Yu, Han Wang, Wei Yang, Ryan Rossi, Franck Dernoncourt, Xiyang Hu, Philip Yu, Chaowei Xiao, Huan Zhang, Yue Zhao
arXiv preprint (2026 )
MedExAgent: Training LLM Agents to Ask, Examine, and Diagnose in Noisy Clinical Environments .
Yicheng Gao, Xiaolin Zhou, Yahan Li, Yue Zhao , Ruishan Liu
arXiv preprint (2026 )
Geometry over Density: Few-Shot Cross-Domain OOD Detection .
Shawn Li, You Qin, Jiate Li, Charith Peris, Lisa Bauer, Roger Zimmermann, Yue Zhao
arXiv preprint (2026 )
Cat-DPO: Category-Adaptive Safety Alignment .
Tiankai Yang, Yi Nian, Xinyuan Li, Ruiyao Xu, Kaize Ding, Yue Zhao
arXiv preprint (2026 )
No Attacker Needed: Unintentional Cross-User Contamination in Shared-State LLM Agents .
Tiankai Yang, Jiate Li, Yi Nian, Shen Dong, Ruiyao Xu, Ryan Rossi, Kaize Ding, Yue Zhao
arXiv preprint (2026 )
Agent Audit: A Security Analysis System for LLM Agent Applications .
Haiyue Zhang, Yi Nian, Yue Zhao
arXiv preprint (2026 )
The Autonomy Tax: Defense Training Breaks LLM Agents .
Shawn Li, Yue Zhao
arXiv preprint (2026 )
When Only the Final Text Survives: Implicit Execution Tracing for Multi-Agent Attribution .
Yi Nian, Haosen Cao, Shenzhe Zhu, Henry Peng Zou, Qingqing Luan, Yue Zhao
arXiv preprint (2026 )
AEGIS: No Tool Call Left Unchecked -- A Pre-Execution Firewall and Audit Layer for AI Agents .
Aojie Yuan, Zhiyuan Su, Yue Zhao
arXiv preprint (2026 )
Agent Banana: High-Fidelity Image Editing with Agentic Thinking and Tooling .
Ruijie Ye, Jiayi Zhang, Zhuoxin Liu, Zihao Zhu, Siyuan Yang, Shawn Li, Tianfu Fu, Franck Dernoncourt, Yue Zhao , Jiacheng Zhu, Ryan Rossi, Wenhao Chai, Zhengzhong Tu
arXiv preprint (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
arXiv preprint (2026 )
Tracing Moral Foundations in Large Language Models .
Chenxiao Yu, Bowen Yi, Farzan Karimi-Malekabadi, Suhaib Abdurahman, Jinyi Ye, Shrikanth Narayanan, Yue Zhao , Morteza Dehghani
arXiv preprint (2026 )
Show older preprints
2025
TAGFN: A Text-Attributed Graph Dataset for Fake News Detection in the Age of LLMs .
Kay Liu, Yuwei Han, Haoyan Xu, Henry Peng Zou, Yue Zhao , Philip S. Yu
arXiv preprint (2025 )
LLM-Powered Text-Attributed Graph Anomaly Detection via Retrieval-Augmented Reasoning .
Haoyan Xu, Ruizhi Qian, Zhengtao Yao, Ziyi Liu, Shawn Li, Yuqi Li, Yanshu Li, Wenqing Zheng, Daniele Rosa, Daniel Barcklow, Senthil Kumar, Jieyu Zhao, Yue Zhao
arXiv preprint (2025 )
A Systematic Study of Model Extraction Attacks on Graph Foundation Models .
Haoyan Xu, Ruizhi Qian, Jiate Li, Yushun Dong, Minghao Lin, Hanson Yan, Zhengtao Yao, Qinghua Liu, Junhao Dong, Ruopeng Huang, Yue Zhao , Mengyuan Li
arXiv preprint (2025 )
The Role of Computing Resources in Publishing Foundation Model Research .
Yuexing Hao, Yue Huang, Haoran Zhang, Chenyang Zhao, Zhenwen Liang, Paul Pu Liang, Yue Zhao , Lichao Sun, Saleh Kalantari, Xiangliang Zhang, Marzyeh Ghassemi
arXiv preprint (2025 )
Learning to Route LLMs from Bandit Feedback: One Policy, Many Trade-offs .
Wang Wei, Tiankai Yang, Hongjie Chen, Yue Zhao , Franck Dernoncourt, Ryan A. Rossi, Hoda Eldardiry
arXiv preprint (2025 )
Can Molecular Foundation Models Know What They Don't Know? A Simple Remedy with Preference Optimization .
Langzhou He, Junyou Zhu, Fangxin Wang, Junhua Liu, Haoyan Xu, Yue Zhao , Philip S. Yu, Qitian Wu
arXiv preprint (2025 )
M3OOD: Automatic Selection of Multimodal OOD Detectors .
Yuehan Qin, Shawn Li, Defu Cao, Tiankai Yang, Jiate Li, Yue Zhao
arXiv preprint (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
arXiv preprint (2025 )
GLIP-OOD: Zero-Shot Graph OOD Detection with Graph Foundation Model .
Haoyan Xu, Zhengtao Yao, Xuzhi Zhang, Ziyi Wang, Langzhou He, Yushun Dong, Philip S. Yu, Mengyuan Li, Yue Zhao
arXiv preprint (2025 )
A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments .
Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, Yue Zhao , Yushun Dong
arXiv preprint (2025 )
ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models .
Shixuan Li, Wei Yang, Peiyu Zhang, Xiongye Xiao, Defu Cao, Yuehan Qin, Xiaole Zhang, Yue Zhao , Paul Bogdan
arXiv preprint (2025 )
2024
A Large-Scale Simulation on Large Language Models for Decision-Making in Political Science .
Chenxiao Yu, Jinyi Ye, Yuangang Li, Zheng Li, Emilio Ferrara, Xiyang Hu, Yue Zhao
arXiv preprint (2024 )
Political-LLM: Large Language Models in Political Science .
Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, and many others, Yue Zhao , Yushun Dong
arXiv preprint (2024 )
Personalized Multimodal Large Language Models: A Survey .
Junda Wu, Hanjia Lyu, Yu Xia, and many others, Yue Zhao , Jiebo Luo, Julian McAuley
arXiv preprint (2024 )
Conference and Workshop Papers
FlexRouter: Learning Complementary Model Sets for Flexible LLM Routing .
Wang Wei, Hongzheng Yang, Tiankai Yang, Samyadeep Basu, Hongjie Chen, Yue Zhao , Franck Dernoncourt, Ryan A. Rossi, Hoda Eldardiry
COLM, 2026
Auditable Agents .
Yi Nian, Aojie Yuan, Haiyue Zhang, Jiate Li, Shawn Li, Xiyang Hu, Hua Wei, Xiongye Xiao, Chaowei Xiao, and Yue Zhao
ACM AI Leadership Summit, 2026 (condensed 4-page version); earlier version at ACL 2026 KnowFM Workshop
AutoDavis: Automatic and Dynamic Evaluation Protocol of Large Vision-Language Models on Visual Question-Answering .
Han Bao, Yue Huang, Yanbo Wang, Jiayi Ye, Xiangqi Wang, Xiuying Chen, Yue Zhao , Tianyi Zhou, Mohamed Elhoseiny, Xiangliang Zhang
KDD D&B Track, 2026
Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation .
Zhisheng Qi, Utkarsh Sahu, Li Ma, Haoyu Han, Ryan Rossi, Franck Dernoncourt, Mahantesh Halappanavar, Nesreen Ahmed, Yushun Dong, Yue Zhao , Yu Zhang, Yu Wang
KDD D&B Track, 2026
SEVA: Self-Evolving Verification Agent with Process Reward for Fact Attribution .
Aojie Yuan, Yi Nian, Haiyue Zhang, Zijian Su, Yue Zhao .
ICML 2026 Workshops (AI4GOOD and FAGEN)
StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization .
Yiming Tang, Yi Fan, Chenxiao Yu, Tiankai Yang, Yue Zhao , Xiyang Hu
ICML Workshop on Trustworthy AI for Good (AI4GOOD), 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
ICML, 2026
Defenses Against Prompt Attacks Learn Surface Heuristics .
Shawn Li, Chenxiao Yu, Zhiyu Ni, Hao Li, Charith Peris, Chaowei Xiao, Yue Zhao .
ACL, 2026
CoAct: Co-Active LLM Preference Learning with Human-AI Synergy .
Ruiyao Xu, Mihir Parmar, Tiankai Yang, Zhengyu Hu, Yue Zhao , Kaize Ding.
ACL, 2026
Topology Matters: Measuring Memory Leakage in Multi-Agent LLMs .
Jinbo Liu, Defu Cao, Yifei Wei, Tianyao Su, Yuan Liang, Yushun Dong, Yan Liu, Yue Zhao , Xiyang Hu.
ACL (Findings), 2026
Multimodal Generative Engine Optimization: Exploiting Cross-Modal Knowledge Grounding in VLM-Based Ranking .
Yixuan Du, Chenxiao Yu, Haoyan Xu, Ziyi Wang, Yue Zhao , Xiyang Hu
ACL Workshop on Towards Knowledgeable Foundation Models (KnowFM), 2026
Can Multimodal LLMs Perform Time Series Anomaly Detection? .
Xiongxiao Xu, Haoran Wang, Yueqing Liang, Philip S. Yu, Yue Zhao , Kai Shu.
WWW, 2026
A Survey on LLM-based Conversational User Simulation .
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, Shawn Li, Huixin Zhang, Ruiyi Zhang, Tong Yu, Sungchul Kim, Jiuxiang Gu, Zhengzhong Tu, Alexa Siu, Zichao Wang, Seunghyun Yoon, Nedim Lipka, Namyong Park, Zihao Lin, Trung Bui, Yue Zhao , Tyler Derr, Ryan A. Rossi.
EACL, 2026
Charts Are Not Images: On the Challenges of Scientific Chart Editing .
Shawn Li, Ryan Rossi, Sungchul Kim, Sunav Choudhary, Franck Dernoncourt, Puneet Mathur, Zhengzhong Tu, Yue Zhao .
ICLR, 2026
DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning .
Chengxuan Qian, Shuo Xing, Shawn Li, Yue Zhao , Zhengzhong Tu.
ICLR, 2026
Doxing via the Lens: Revealing Location-related Privacy Leakage on Multi-modal Large Reasoning Models .
Weidi Luo, Tianyu Lu, Qiming Zhang, Xiaogeng Liu, Bin Hu, Yue Zhao , Jieyu Zhao, Song Gao, Patrick McDaniel, Zhen Xiang, Chaowei Xiao.
ICLR, 2026
TrustGen: A Platform of Dynamic Benchmarking on the Trustworthiness of Generative Foundation Models .
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, Yue Zhao , many other authors, Xiangliang Zhang.
ICLR, 2026
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 .
AAAI, 2026
Show older conference/workshop papers
A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations .
Shawn Li, Peilin Cai, Ryan A. Rossi, Franck Dernoncourt, Branislav Kveton, Junda Wu, Tong Yu, Lixin Song, Tiankai Yang, Yuehan Qin, Nesreen K. Ahmed, Samyadeep Basu, Subhojyoti Mukherjee, Ruiyi Zhang, Yuxiao Zhou, Zichao Wang, Yue Huang, Yu Wang, Xiangliang Zhang, Philip S. Yu, Xiyang Hu, Yue Zhao .
NeurIPS Workshop on Multi-Turn Interactions in Large Language Models (MTI-LLM), 2025
DyFlow: Dynamic Workflow Framework for Agentic Reasoning .
Yanbo Wang, Zixiang Xu, Yue Huang, Xiangqi Wang, Zirui Song, Lang Gao, Chenxi Wang, Xiangru Tang, Yue Zhao , Arman Cohan, Xiangliang Zhang, Xiuying Chen.
NeurIPS, 2025
SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models .
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.
NeurIPS Workshop on Socially Responsible and Trustworthy Foundation Models (ResponsibleFM), 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 .
Findings of IJCNLP-AACL, 2025
LLM-Empowered Patient-Provider Communication: A Data-Centric Survey From a Clinical Perspective .
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.
Findings of IJCNLP-AACL, 2025
Learning from the Storm: A Multivariate Machine Learning Approach to Predicting Hurricane-Induced Economic Losses .
Bolin Shen, Eren Erman Ozguven, Yue Zhao , Guang Wang, Yiqun Xie, Yushun Dong.
ACM SIGSPATIAL SpatialConnect Workshop, 2025
NLP-ADBench: NLP Anomaly Detection Benchmark .
Yuangang Li, Jiaqi Li, Zhuo Xiao, Tiankai Yang, Yi Nian, Xiyang Hu, Yue Zhao .
EMNLP Findings, 2025
Navigating Between Explainability and Extractability in Machine Learning as a Service .
Ojas Nimase, Yue Zhao , Yushun Dong.
IEEE ICDM BlueSky Track, 2025
Treble Counterfactual VLMs: A Causal Approach to Hallucination .
Shawn Li, Jiashu Qu, Yuxiao Zhou, Yuehan Qin, Tiankai Yang, Yue Zhao .
EMNLP Findings, 2025
TyphoFormer: Language-Augmented Transformer for Accurate Typhoon Track Forecasting .
Lincan Li, Eren Erman Ozguven, Yue Zhao , Guang Wang, Yiqun Xie, Yushun Dong.
ACM SIGSPATIAL, 2025
JailDAM: Jailbreak Detection with Adaptive Memory for Vision-Language Model .
Yi Nian† , Shenzhe Zhu† , Yuehan Qin, Shawn Li, Ziyi Wang, Chaowei Xiao, Yue Zhao .
COLM, 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 .
ICCV, 2025
Few-Shot Graph Out-of-Distribution Detection with LLMs .
Haoyan Xu† , Zhengtao Yao† , Yushun Dong, Ziyi Wang, Ryan A. Rossi, Mengyuan Li, Yue Zhao .
ECML PKDD, 2025
A Survey on Model Extraction Attacks and Defenses for Large Language Models .
Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, Yue Zhao , Yushun Dong.
KDD (Lecture-Style Tutorial Track), 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 .
ACL (Findings), 2025
From Selection to Generation: A Survey of LLM-based Active Learning .
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 McAuley.
ACL, 2025
Retrieval-Reasoning Large Language Model-based Synthetic Clinical Trial Generation .
Zerui Xu, Fang Wu, Yue Zhao .
ACM BCB, 2025
DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection .
Shawn Li, Huixian Gong, Hao Dong, Tiankai Yang, Zhengzhong Tu, Yue Zhao .
CVPR, 2025
Edit Away and My Face Will Not Stay: Personal Biometric Defense against Malicious Generative Editing .
Hanhui Wang, Yihua Zhang, Ruizheng Bai, Yue Zhao , Sijia Liu, Zhengzhong Tu.
CVPR, 2025
PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection .
Sihan Chen, Zhuangzhuang Qian, Michael Siu, Xingcan Hu, Jiaqi Li, Shawn Li, Yuehan Qin, Tiankai Yang, Zhuo Xiao, Wanghao Ye, Yichi Zhang, Yushun Dong, Yue Zhao .
The Web Conference (Demo Track), 2025
TRUSTEVAL: A Dynamic Evaluation Toolkit on Trustworthiness of Generative Foundation Models .
Yanbo Wang, Jiayi Ye, Siyuan Wu, Chujie Gao, Yue Huang, Xiuying Chen, Yue Zhao , Xiangliang Zhang.
NAACL (Demo Track), 2025
MetaOOD: Automatic Selection of OOD Detection Models .
Yuehan Qin† , Yichi Zhang† , Yi Nian† , Xueying Ding, Yue Zhao .
ICLR, 2025
DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration .
Sizhe Liu, Yizhou Lu, Siyu Chen, Xiyang Hu, Jieyu Zhao, Yingzhou Lu, Yue Zhao .
AAAI Workshop on Foundation Models for Biological Discoveries (FMs4Bio), 2025
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities .
Hao Dong, Yue Zhao , Eleni Chatzi, Olga Fink.
NeurIPS, 2024
Fast Unsupervised Deep Outlier Model Selection with Hypernetworks .
Xueying Ding, Yue Zhao , Leman Akoglu
KDD, 2024
TrustLLM: Trustworthiness in Large Language Models .
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, 50+ collaborative authors, Yue Zhao .
ICML, 2024
Towards Reproducible, Automated, and Scalable Anomaly Detection .
Yue Zhao .
AAAI New Faculty Highlights, 2024
Hyperparameter Optimization for Unsupervised Outlier Detection .
Yue Zhao , Leman Akoglu.
AutoML, 2024
ADGym: Design Choices for Deep Anomaly Detection .
Minqi Jiang† , Chaochuan Hou† , Ao Zheng† , Songqiao Han, Hailiang Huang♠ , Qingsong Wen, Xiyang Hu♠ , Yue Zhao ♠ .
NeurIPS, 2023
DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection .
Jaemin Yoo, Yue Zhao , Lingxiao Zhao, Leman Akoglu.
ECML/PKDD, 2023
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks .
Peng Xu† , Lin Zhang† , Xuanzhou Liu, Jiaqi Sun, Yue Zhao , Haiqin Yang, Bei Yu.
ICML, 2023
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels .
Yue Zhao , Guoqing Zheng, Subhabrata Mukherjee, Robert McCann, Ahmed Awadallah.
AAAI, 2023
TOD: GPU-accelerated Outlier Detection via Tensor Operations .
Yue Zhao , George H. Chen, Zhihao Jia.
VLDB, 2023
ADBench: Anomaly Detection Benchmark .
Songqiao Han† , Xiyang Hu† , Hailiang Huang† , Minqi Jiang† , Yue Zhao † ♠ .
NeurIPS, 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.
NeurIPS, 2022
ELECT: Toward Unsupervised Outlier Model Selection .
Yue Zhao , Sean Zhang, Leman Akoglu.
ICDM, 2022
Contrastive Attributed Network Anomaly Detection with Data Augmentation .
Zhiming Xu, Xiao Huang, Yue Zhao , Yushun Dong, Jundong Li
PAKDD, 2022
Automatic Unsupervised Outlier Model Selection .
Yue Zhao , Ryan Rossi, Leman Akoglu.
NeurIPS, 2021
Revisiting Time Series Outlier Detection: Definitions and Benchmarks .
Kwei-Herng Lai† , Daochen Zha† , Junjie Xu, Yue Zhao , Guanchu Wang, Xia Hu.
NeurIPS, 2021
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development .
Kexin Huang† , Tianfan Fu† , Wenhao Gao† , Yue Zhao , Yusuf Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik.
NeurIPS, 2021
TODS: An Automated Time Series Outlier Detection System .
Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao , Devesh Kumar, Yile Chen, Purav Zumkhawaka, Mingyang Wan, Diego Martinez, Xia Hu
AAAI (Demo), 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.
MLSys, 2021
COPOD: Copula-Based Outlier Detection .
Zheng Li, Yue Zhao , Nicola Botta, Cezar Ionescu, Xiyang Hu
IEEE ICDM, 2020
SynC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources .
Zheng Li, Yue Zhao , Jialin Fu
IEEE ICDMW, 2020
Combining Machine Learning Models using combo Library .
Yue Zhao , Xuejian Wang, Cheng Cheng, Xueying Ding
AAAI (Demo), 2020
SUOD: Toward Scalable Unsupervised 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, Jiaze Sun, Leman Akoglu
AAAI Workshop, 2020
SynC: A Unified Framework for Generating Synthetic Population with Gaussian Copula .
Colin Wan, Zheng Li, Alicia Guo, Yue Zhao
AAAI Workshop, 2020
A Data Denoising Approach to Optimize Functional Clustering of Single Cell RNA-sequencing Data .
Changlin Wan, Dongya Jia, Yue Zhao , Wennan Chang, Sha Cao, Xiao Wang, Chi Zhang
IEEE BIBM, 2020
AutoAudit: Mining Accounting and Time-Evolving Graphs .
Meng-Chieh Lee, Yue Zhao , Aluna Wang, Pierre Jinghong Liang, Leman Akoglu, Vincent S. Tseng, Christos Faloutsos
IEEE BigData, 2020
DSR: An Accurate Single Image Super Resolution Approach for Various Degradations .
Yiqun Mei, Yue Zhao , Wei Liang
IEEE ICME, 2020
LSCP: Locally Selective Combination in Parallel Outlier Ensembles .
Yue Zhao , Zain Nasrullah, Maciej K. Hryniewicki, Zheng Li
SDM, 2019
Music Artist Classification with Convolutional Recurrent Neural Networks .
Zain Nasrullah, Yue Zhao
IJCNN, 2019
DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles .
Yue Zhao , Maciej K. Hryniewicki
KDD Workshop, 2018
Employee Turnover Prediction with Machine Learning: A Reliable Approach .
Yue Zhao , Maciej K. Hryniewicki, Francesca Cheng, Boyang Fu, Xiaoyu Zhu
IntelliSys, 2018
XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning .
Yue Zhao , Maciej K. Hryniewicki
IJCNN, 2018
An Empirical Study of Touch-based Authentication Methods on Smartwatches .
Yue Zhao , Zhongtian Qiu, Yiqing Yang, Weiwei Li, Mingming Fan
ISWC, 2017
Journal Papers
Show older journal papers
LEGO-Learn: Label-Efficient Graph Open-Set Learning .
Haoyan Xu, Kay Liu, Zhengtao Yao, Philip S. Yu, Kaize Ding♠ , Yue Zhao ♠
Transactions on Machine Learning Research (TMLR), 2025
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation .
Hao Dong, Gaëtan Frusque, Yue Zhao , Eleni Chatzi, Olga Fink
IEEE Transactions on Neural Networks and Learning Systems, 2024
The Need for Unsupervised Outlier Model Selection: A Review and Evaluation of Internal Evaluation Strategies .
Martin Q. Ma† , Yue Zhao † , Xiaorong Zhang, Leman Akoglu.
ACM SIGKDD Explorations Newsletter, 2023
Diffusion Models: A Comprehensive Survey of Methods and Applications .
Ling Yang† , Zhilong Zhang† , Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao , Wentao Zhang, Bin Cui, Ming-Hsuan Yang.
ACM Computing Surveys, 2023
Artificial Intelligence Foundation for Therapeutic Science .
Kexin Huang† , Tianfan Fu† , Wenhao Gao† , Yue Zhao , Yusuf Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik.
Nature Chemical Biology, 2022
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions .
Zheng Li† , Yue Zhao † ♠ , Xiyang Hu, Nicola Botta, Cezar Ionescu, George H. Chen.
TKDE, 2022
PyOD: A Python Toolbox for Scalable Outlier Detection .
Yue Zhao , Zain Nasrullah, Zheng Li.
JMLR, 2019 .