Yue Zhao
Assistant Professor
Department of Computer Science
Stevens School of Computing and AI
Email:
Department of Computer Science
Stevens School of Computing and AI
University of Southern California
Los Angeles, CA, USAEmail:
Research Themes
Auditable AI Systems: detection in data, verification of output, auditing of action, and modeling of risk
Auditable AI Systems: detection in data, verification of output, auditing of action, and modeling of risk
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300k+ followers in total
30k+ GitHub ⭐ · 24k+ owned, Gitstar Ranking
30k+ GitHub ⭐ · 24k+ owned, Gitstar Ranking
📚 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 presents published work and preprints in four established directions within Auditable AI Systems. Detection in data covers anomalies, outliers, and out-of-distribution inputs. Verification of output covers LLM evaluation, hallucination, and jailbreak detection. Auditing of action covers AI agent security, tool-call and MCP security, and audit trails. Modeling of risk is a developing direction on agent risk, loss, and deployment decisions.
Preprints & Working Papers
2026
-
agent-risk: Risk Assessment for Changes to AI Agents.
, Zixiang Xu, Angela Huyue Zhang, S. Alex Yang, Xiyang Hu.
arXiv preprint () -
AI4Fire: Evaluating Large Language Models on Wildfire Tasks.
, Xiyang Hu, Zuobin Xiong, Zhangyu Wang, Ruolin Li.
arXiv preprint () -
Auditable Claims about AI Agents.
, Jiate Li, Li Li, Yi Nian, Jinbo Liu, Xiaolin Zhou, and Xiyang Hu.
arXiv preprint () -
MetaPersona: Task-Grounded Synthetic Populations from Empirical Social Science.
Jinyi Ye♠, Yuangang Li, Chenxiao Yu, Preyashi Poddar, Priyanka Dey, Longtian Ye, Zihan Wang, Xiyang Hu, Emilio Ferrara♠, ♠.
arXiv preprint () -
Controlled Decoding Attacks on Black-Box LLMs.
Jesson Wang†, Shawn Li†, Wei Yang, Franck Dernoncourt, Ryan A. Rossi, Charith Peris, .
arXiv preprint () -
CUA-SWE: When Computer-Use Agents Meet Visual Software Engineering.
Prince Zizhuang Wang†♠, Chenhao Liang†, Zelong Xu†, Aojie Yuan†, Xiaolin Zhou†, Haiyue Zhang, , Xiyang Hu, Shuli Jiang.
arXiv preprint () -
QEMScore: How Much Does the Measurement Add to Learned Quantum Error Mitigation?.
, Huayue Gu, Yushun Dong, and Xiyang Hu
arXiv preprint () -
CatchBench: When Can an Agent Failure Be Caught?.
, Mengyuan Li, Ruolin Li, Prince Zizhuang Wang, Shuli Jiang, Linsey Pang, Xiongye Xiao, Xiyang Hu
arXiv preprint () -
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
arXiv preprint () -
MemoHarness: Agent Harnesses That Learn from Experience.
Yue Huang, Wenjie Wang, Han Bao, Yuchen Ma, Xiaonan Luo, Yi Nian, Haomin Zhuang, Zheyuan Liu, , Xiangliang Zhang
arXiv preprint () -
SkillCenter: A Large-Scale Source-Grounded Skill Library for Autonomous AI Agents.
Tianming Sha, , Lichao Sun, Yushun Dong
arXiv preprint () -
Agent Safety Is Action Alignment.
Shawn Li,
arXiv preprint () -
GRADE: Graph Representation of LLM Agent Dependency and Execution.
arXiv preprint () -
Can Subgraph Explanations Be Weaponized to Steal Graph Neural Networks?.
Ojas Nimase, Jiate Li, , Yushun Dong
arXiv preprint () -
GEO-Bench: Benchmarking Ranking Manipulation in Generative Engine Optimization.
Ojas Nimase, Zhe Chen, Gengpei Qi, , Xiyang Hu
arXiv preprint () -
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,
arXiv preprint () -
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,
arXiv preprint () -
Agent Audit: A Security Analysis System for LLM Agent Applications.
Haiyue Zhang, Yi Nian,
arXiv preprint () -
When Only the Final Text Survives: Implicit Execution Tracing for Multi-Agent Auditing.
Yi Nian, Haosen Cao, Shenzhe Zhu, Henry Peng Zou, Qingqing Luan, Yudi Zhang,
arXiv preprint () -
AEGIS: No Tool Call Left Unchecked -- A Pre-Execution Firewall and Audit Layer for AI Agents.
Aojie Yuan, Zhiyuan Su,
arXiv preprint () -
Agent Banana: High-Fidelity Image Editing with Agentic Thinking and Tooling.
Ruijie Ye, Jiayi Zhang, Zhuoxin Liu, Zihao Zhu, Siyuan Yang, Li Li, Tianfu Fu, Franck Dernoncourt, , Jiacheng Zhu, Ryan Rossi, Wenhao Chai, Zhengzhong Tu
arXiv preprint () -
Fairness or Fluency? An Investigation into Language Bias of Pairwise LLM-as-a-Judge.
Xiaolin Zhou, Zheng Luo, Yicheng Gao, Qixuan Chen, Xiyang Hu, , Ruishan Liu
arXiv preprint ()
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, , Philip S. Yu
arXiv preprint () -
LLM-Powered Text-Attributed Graph Anomaly Detection via Retrieval-Augmented Reasoning.
Haoyan Xu, Ruizhi Qian, Zhengtao Yao, Ziyi Liu, Li Li, Yuqi Li, Yanshu Li, Wenqing Zheng, Daniele Rosa, Daniel Barcklow, Senthil Kumar, Jieyu Zhao,
arXiv preprint () -
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, , Mengyuan Li
arXiv preprint () -
The Role of Computing Resources in Publishing Foundation Model Research.
Yuexing Hao, Yue Huang, Haoran Zhang, Chenyang Zhao, Zhenwen Liang, Paul Pu Liang, , Lichao Sun, Saleh Kalantari, Xiangliang Zhang, Marzyeh Ghassemi
arXiv preprint () -
Learning to Route LLMs from Bandit Feedback: One Policy, Many Trade-offs.
Wang Wei, Tiankai Yang, Hongjie Chen, , Franck Dernoncourt, Ryan A. Rossi, Hoda Eldardiry
arXiv preprint () -
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, , Philip S. Yu, Qitian Wu
arXiv preprint () -
M3OOD: Automatic Selection of Multimodal OOD Detectors.
Yuehan Qin, Li Li, Defu Cao, Tiankai Yang, Jiate Li,
arXiv preprint () -
Graph Synthetic Out-of-Distribution Exposure with Large Language Models.
Haoyan Xu, Zhengtao Yao, Ziyi Wang, Zhan Cheng, Xiyang Hu, Mengyuan Li,
arXiv preprint () -
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,
arXiv preprint () -
A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments.
Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, , Yushun Dong
arXiv preprint () -
ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models.
Shixuan Li, Wei Yang, Peiyu Zhang, Xiongye Xiao, Defu Cao, Yuehan Qin, Xiaole Zhang, , Paul Bogdan
arXiv preprint ()
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,
arXiv preprint () -
Political-LLM: Large Language Models in Political Science.
Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, and many others, , Yushun Dong
arXiv preprint () -
Personalized Multimodal Large Language Models: A Survey.
Junda Wu, Hanjia Lyu, Yu Xia, and many others, , Jiebo Luo, Julian McAuley
arXiv preprint ()
Conference and Workshop Papers
-
JevOut: Natural Context Can Flip Decision Models.
Zixiang Xu, Zirui Song, Chiyu Zhang, Xiuying Chen, Xi Liu, Xiyang Hu, ♠.
NeurIPS Agenthon Workshop, Poster -
SynCo: Data Synthesis Co-Training for Self-Evolving LLMs via Multi-Agent Reinforcement Learning.
Wei Yang, Shawn Li, Yuehan Qin, Yawei Wang, Mingxi Wang, Shixuan Li, Tiankai Yang, Jiate Li, Jesse Thomason, Xuezhe Ma, .
NeurIPS Workshop on Towards Test-Time Continual Learning Agents (TTCL), Poster -
MaskForge: Structure-Aware Adaptive Attacks for Jailbreaking Diffusion Large Language Models.
Yingzi Ma, Zhengyue Zhao, Xiaogeng Liu, Minhui Xue, , Chaowei Xiao
NeurIPS, -
Memory Retrieval for Changing Preferences.
Yuehan Qin, Li Li, Linxin Song, Wei Yang, Jiate Li, Yuqing Yang,
NeurIPS, -
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, , Carl Yang, Biwei Huang, Kun Zhang, Caiming Xiong, Sanmi Koyejo, Eric P. Xing, Philip S. Yu, Weiran Yao
NeurIPS Evaluations and Datasets Track, -
MedExAgent: Training LLM Agents to Ask, Examine, and Diagnose in Noisy Clinical Environments.
Yicheng Gao, Xiaolin Zhou, Yahan Li, , Ruishan Liu
NeurIPS, -
Geometry over Density: Few-Shot Cross-Domain OOD Detection.
Shawn Li, You Qin, Jiate Li, Charith Peris, Lisa Bauer, Roger Zimmermann,
NeurIPS, -
Cat-DPO: Category-Adaptive Safety Alignment.
Tiankai Yang, Yi Nian, Xinyuan Li, Ruiyao Xu, Henry Peng Zou, Kaize Ding, Xiyang Hu, Yan Liu,
NeurIPS, -
Tracing Moral Foundations in Large Language Models.
Chenxiao Yu, Bowen Yi, Farzan Karimi-Malekabadi, Suhaib Abdurahman, Jinyi Ye, Shrikanth Narayanan, , Morteza Dehghani
NeurIPS, -
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, , and Shuli Jiang
EMNLP Findings, -
SocialMaze: A Benchmark for Evaluating and Enhancing Social Reasoning in Large Language Models in Complex Social Environments.
Zixiang Xu, Yanbo Wang, Yue Huang, Haomin Zhuang, Yujun Zhou, Jiayi Ye, Sixian Li, Zirui Song, Lang Gao, Chenxi Wang, Zhaorun Chen, Wang Pan, , Jieyu Zhao, Xiangliang Zhang, Xiuying Chen
EMNLP Findings, ; earlier versions at SocialSim @ COLM 2025 (Spotlight) and ResponsibleFM @ NeurIPS 2025 -
FinanceLLM: A Survey of Large Language Models in Finance.
Ojas Nimase, Zhengao Li, Xinyu Wei, Jinglin Hu, Luojia Liu, Kangyi Zhao, , Yushun Dong
EMNLP Findings, -
SpecAlign: Efficient Specification-Grounded Alignment of Large Language Models via Synthetic Data.
Wenjie Wang, Yue Huang, Zhengqing Yuan, Han Bao, Shiyi Du, Yuchen Ma, , Yanfang Ye, Xiangliang Zhang
EMNLP, -
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,
EMNLP Findings, -
The Autonomy Tax: Defense Training Breaks LLM Agents.
Shawn Li,
EMNLP, -
FlexRouter: Learning Complementary Model Sets for Flexible LLM Routing.
Wang Wei, Hongzheng Yang, Tiankai Yang, Samyadeep Basu, Hongjie Chen, , Franck Dernoncourt, Ryan A. Rossi, Hoda Eldardiry
COLM, -
Auditable Agents.
Yi Nian, Aojie Yuan, Haiyue Zhang, Jiate Li, Li Li, Xiyang Hu, Hua Wei, Xiongye Xiao, Chaowei Xiao, and
ACM AI Leadership Summit, (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, , Tianyi Zhou, Mohamed Elhoseiny, Xiangliang Zhang
KDD D&B Track, -
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, , Yu Zhang, Yu Wang
KDD D&B Track, -
SEVA: Self-Evolving Verification Agent with Process Reward for Fact Attribution.
Aojie Yuan, Yi Nian, Haiyue Zhang, Zijian Su, .
ICML Workshops (AI4GOOD and FAGEN) -
StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization.
Yiming Tang, Yi Fan, Chenxiao Yu, Tiankai Yang, , Xiyang Hu
ICML Workshop on Trustworthy AI for Good (AI4GOOD), -
"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,
ICML, -
Defenses Against Prompt Attacks Learn Surface Heuristics.
Shawn Li, Chenxiao Yu, Zhiyu Ni, Hao Li, Charith Peris, Chaowei Xiao, .
ACL, -
CoAct: Co-Active LLM Preference Learning with Human-AI Synergy.
Ruiyao Xu, Mihir Parmar, Tiankai Yang, Zhengyu Hu, , Kaize Ding.
ACL, -
Topology Matters: Measuring Memory Leakage in Multi-Agent LLMs.
Jinbo Liu, Defu Cao, Yifei Wei, Tianyao Su, Yuan Liang, Yushun Dong, Yan Liu, , Xiyang Hu.
ACL (Findings), -
Multimodal Generative Engine Optimization: Rank Manipulation for Vision-Language Model Rankers.
Yixuan Du, Chenxiao Yu, Haoyan Xu, Ziyi Wang, , Xiyang Hu
ACL Workshop on Towards Knowledgeable Foundation Models (KnowFM), -
Can Multimodal LLMs Perform Time Series Anomaly Detection?.
Xiongxiao Xu, Haoran Wang, Yueqing Liang, Philip S. Yu, , Kai Shu.
WWW, -
A Survey on LLM-based Conversational User Simulation.
Bo Ni, Leyao Wang, Yu Wang, Branislav Kveton, Franck Dernoncourt, Yu Xia, Hongjie Chen, Reuben Leura, Samyadeep Basu, Subhojyoti Mukherjee, Puneet Mathur, Nesreen Ahmed, Junda Wu, Li Li, Huixin Zhang, Ruiyi Zhang, Tong Yu, Sungchul Kim, Jiuxiang Gu, Zhengzhong Tu, Alexa Siu, Zichao Wang, David Seunghyun Yoon, Nedim Lipka, Namyong Park, Zihao Lin, Trung Bui, , Tyler Derr, Ryan A. Rossi.
EACL, -
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, .
ICLR, -
DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning.
Chengxuan Qian, Shuo Xing, Shawn Li, , Zhengzhong Tu.
ICLR, -
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, , Jieyu Zhao, Song Gao, Patrick McDaniel, Zhen Xiang, Chaowei Xiao.
ICLR, -
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, , many other authors, Xiangliang Zhang.
ICLR, -
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, .
AAAI,
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, 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, .
NeurIPS Workshop on Multi-Turn Interactions in Large Language Models (MTI-LLM), -
DyFlow: Dynamic Workflow Framework for Agentic Reasoning.
Yanbo Wang, Zixiang Xu, Yue Huang, Xiangqi Wang, Zirui Song, Lang Gao, Chenxi Wang, Xiangru Tang, , Arman Cohan, Xiangliang Zhang, Xiuying Chen.
NeurIPS, -
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, .
Findings of IJCNLP-AACL, -
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, , Chongle Pan, Lisa Hightow-Weidman, Shayok Chakraborty, Yushun Dong.
Findings of IJCNLP-AACL, -
Learning from the Storm: A Multivariate Machine Learning Approach to Predicting Hurricane-Induced Economic Losses.
Bolin Shen, Eren Erman Ozguven, , Guang Wang, Yiqun Xie, Yushun Dong.
ACM SIGSPATIAL SpatialConnect Workshop, -
NLP-ADBench: NLP Anomaly Detection Benchmark.
Yuangang Li, Jiaqi Li, Zhuo Xiao, Tiankai Yang, Yi Nian, Xiyang Hu, .
EMNLP Findings, -
Navigating Between Explainability and Extractability in Machine Learning as a Service.
Ojas Nimase, , Yushun Dong.
IEEE ICDM BlueSky Track, -
Treble Counterfactual VLMs: A Causal Approach to Hallucination.
Shawn Li, Jiashu Qu, Linxin Song, Yuxiao Zhou, Yuehan Qin, Tiankai Yang, .
EMNLP Findings, -
TyphoFormer: Language-Augmented Transformer for Accurate Typhoon Track Forecasting.
Lincan Li, Eren Erman Ozguven, , Guang Wang, Yiqun Xie, Yushun Dong.
ACM SIGSPATIAL, -
JailDAM: Jailbreak Detection with Adaptive Memory for Vision-Language Model.
Yi Nian†, Shenzhe Zhu†, Yuehan Qin, Shawn Li, Ziyi Wang, Chaowei Xiao, .
COLM, -
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, .
ICCV, -
Few-Shot Graph Out-of-Distribution Detection with LLMs.
Haoyan Xu†, Zhengtao Yao†, Yushun Dong, Ziyi Wang, Ryan A. Rossi, Mengyuan Li, .
ECML PKDD, -
A Survey on Model Extraction Attacks and Defenses for Large Language Models.
Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, , Yushun Dong.
KDD (Lecture-Style Tutorial Track), -
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 Rossi, Kaize Ding, Xia Hu, .
ACL (Findings), -
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, , 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, -
Retrieval-Reasoning Large Language Model-based Synthetic Clinical Trial Generation.
Zerui Xu, Fang Wu, Yingzhou Lu, Yuanyuan Zhang, .
ACM BCB, -
DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection.
Shawn Li, Huixian Gong, Hao Dong, Tiankai Yang, Zhengzhong Tu, .
CVPR, -
Edit Away and My Face Will Not Stay: Personal Biometric Defense against Malicious Generative Editing.
Hanhui Wang, Yihua Zhang, Ruizheng Bai, , Sijia Liu, Zhengzhong Tu.
CVPR, -
PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection.
Sihan Chen, Zhuangzhuang Qian, Wingchun Siu, Xingcan Hu, Jiaqi Li, Shawn Li, Yuehan Qin, Tiankai Yang, Zhuo Xiao, Wanghao Ye, Yichi Zhang, Yushun Dong, .
The Web Conference (Demo Track), -
TRUSTEVAL: A Dynamic Evaluation Toolkit on Trustworthiness of Generative Foundation Models.
Yanbo Wang, Jiayi Ye, Siyuan Wu, Chujie Gao, Yue Huang, Xiuying Chen, , Xiangliang Zhang.
NAACL (Demo Track), -
MetaOOD: Automatic Selection of OOD Detection Models.
Yuehan Qin†, Yichi Zhang†, Yi Nian†, Xueying Ding, .
ICLR, -
DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration.
Sizhe Liu, Yizhou Lu, Siyu Chen, Xiyang Hu, Jieyu Zhao, Tianfan Fu, .
AAAI Workshop on Foundation Models for Biological Discoveries (FMs4Bio), -
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities.
Hao Dong, , Eleni Chatzi, Olga Fink.
NeurIPS, -
Fast Unsupervised Deep Outlier Model Selection with Hypernetworks.
Xueying Ding, , Leman Akoglu
KDD, -
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, .
ICML, -
Towards Reproducible, Automated, and Scalable Anomaly Detection.
.
AAAI New Faculty Highlights, -
HPOD: Hyperparameter Optimization for Unsupervised Outlier Detection.
, Leman Akoglu.
AutoML, -
ADGym: Design Choices for Deep Anomaly Detection.
Minqi Jiang†, Chaochuan Hou†, Ao Zheng†, Songqiao Han, Hailiang Huang♠, Qingsong Wen, Xiyang Hu♠, ♠.
NeurIPS, -
DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection.
Jaemin Yoo, , Lingxiao Zhao, Leman Akoglu.
ECML/PKDD, -
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks.
Peng Xu†, Lin Zhang†, Xuanzhou Liu, Jiaqi Sun, , Haiqin Yang, Bei Yu.
ICML, -
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels.
, Guoqing Zheng, Subhabrata Mukherjee, Robert McCann, Ahmed Awadallah.
AAAI, -
TOD: GPU-accelerated Outlier Detection via Tensor Operations.
, George H. Chen, Zhihao Jia.
VLDB, -
ADBench: Anomaly Detection Benchmark.
Songqiao Han†, Xiyang Hu†, Hailiang Huang†, Minqi Jiang†, †♠.
NeurIPS, -
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs.
Kay Liu†, Yingtong Dou†, †, 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, -
Toward Unsupervised Outlier Model Selection.
, Sean Zhang, Leman Akoglu.
ICDM, -
Contrastive Attributed Network Anomaly Detection with Data Augmentation.
Zhiming Xu, Xiao Huang, , Yushun Dong, Jundong Li
PAKDD, -
Automatic Unsupervised Outlier Model Selection.
, Ryan Rossi, Leman Akoglu.
NeurIPS, -
Revisiting Time Series Outlier Detection: Definitions and Benchmarks.
Kwei-Herng Lai†, Daochen Zha†, Junjie Xu, , Guanchu Wang, Xia Hu.
NeurIPS, -
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development.
Kexin Huang†, Tianfan Fu†, Wenhao Gao†, , Yusuf Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik.
NeurIPS, -
TODS: An Automated Time Series Outlier Detection System.
Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, , Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Hu
AAAI (Demo), -
SUOD: Accelerating Large-scale Unsupervised Heterogeneous Outlier Detection.
†, 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, -
COPOD: Copula-Based Outlier Detection.
Zheng Li, , Nicola Botta, Cezar Ionescu, Xiyang Hu
IEEE ICDM, -
SynC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources.
Zheng Li, , Jialin Fu
IEEE ICDMW, -
Combining Machine Learning Models using combo Library.
, Xuejian Wang, Cheng Cheng, Xueying Ding
AAAI (Demo), -
SUOD: Toward Scalable Unsupervised Outlier Detection.
, 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, -
SynC: A Unified Framework for Generating Synthetic Population with Gaussian Copula.
Colin Wan, Zheng Li, Alicia Guo,
AAAI Workshop, -
A Data Denoising Approach to Optimize Functional Clustering of Single Cell RNA-sequencing Data.
Changlin Wan, Dongya Jia, , Wennan Chang, Sha Cao, Xiao Wang, Chi Zhang
IEEE BIBM, -
AutoAudit: Mining Accounting and Time-Evolving Graphs.
Meng-Chieh Lee, , Aluna Wang, Pierre Jinghong Liang, Leman Akoglu, Vincent S. Tseng, Christos Faloutsos
IEEE BigData, -
DSR: An Accurate Single Image Super Resolution Approach for Various Degradations.
Yiqun Mei, , Wei Liang
IEEE ICME, -
LSCP: Locally Selective Combination in Parallel Outlier Ensembles.
, Zain Nasrullah, Maciej K. Hryniewicki, Zheng Li
SDM, -
Music Artist Classification with Convolutional Recurrent Neural Networks.
Zain Nasrullah,
IJCNN, -
DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles.
, Maciej K. Hryniewicki
KDD Workshop, -
Employee Turnover Prediction with Machine Learning: A Reliable Approach.
, Maciej K. Hryniewicki, Francesca Cheng, Boyang Fu, Xiaoyu Zhu
IntelliSys, -
XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning.
, Maciej K. Hryniewicki
IJCNN, -
An Empirical Study of Touch-based Authentication Methods on Smartwatches.
, Zhongtian Qiu, Yiqing Yang, Weiwei Li, Mingming Fan
ISWC,
Journal Papers
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H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications.
Jiechao Gao†, Yuangang Li†, Jie Wang, Michael Lepech, , Brad Campbell
npj Artificial Intelligence, -
Don’t Let It Hallucinate: Premise Verification via Retrieval-Augmented Logical Reasoning.
Yuehan Qin, Shawn Li, Yi Nian, Xinyan Velocity Yu, ♠, Xuezhe Ma♠.
Transactions on Machine Learning Research (TMLR),
Show older journal papers
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LEGO-Learn: Label-Efficient Graph Open-Set Learning.
Haoyan Xu, Kay Liu, Zhengtao Yao, Philip S. Yu, Mengyuan Li, Kaize Ding♠, ♠
Transactions on Machine Learning Research (TMLR), -
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation.
Hao Dong, Gaëtan Frusque, , Eleni Chatzi, Olga Fink
IEEE Transactions on Neural Networks and Learning Systems, -
The Need for Unsupervised Outlier Model Selection: A Review and Evaluation of Internal Evaluation Strategies.
Martin Q. Ma†, †, Xiaorong Zhang, Leman Akoglu.
ACM SIGKDD Explorations Newsletter, -
Diffusion Models: A Comprehensive Survey of Methods and Applications.
Ling Yang†, Zhilong Zhang†, Yang Song, Shenda Hong, Runsheng Xu, , Wentao Zhang, Bin Cui, Ming-Hsuan Yang.
ACM Computing Surveys, -
Artificial Intelligence Foundation for Therapeutic Science.
Kexin Huang†, Tianfan Fu†, Wenhao Gao†, , Yusuf Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik.
Nature Chemical Biology, -
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions.
Zheng Li†, †♠, Xiyang Hu, Nicola Botta, Cezar Ionescu, George H. Chen.
TKDE, -
PyOD: A Python Toolbox for Scalable Outlier Detection.
, Zain Nasrullah, Zheng Li.
JMLR, .