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Yue Zhao 0016
Person information
- affiliation: University of Southern California, Department of Computer Science, CA, USA
- affiliation (former): Carnegie Mellon University, College of Information Systems and Public Policy, Pittsburgh, PA, USA
- affiliation (former): University of Toronto, Canada
Other persons with the same name
- Yue Zhao — disambiguation page
- Yue Zhao 0001 — Delft University of Technology, The Netherlands
- Yue Zhao 0002 — INSA de Lyon, France
- Yue Zhao 0003 — Brunel University London, UK
- Yue Zhao 0004
— Harbin Institute of Technology, School of Astronautics, Harbin, China
- Yue Zhao 0005
- Yue Zhao 0006
- Yue Zhao 0007
- Yue Zhao 0008 — University of Central Florida, Department of Mathematics, Orlando, FL, USA (and 1 more)
- Yue Zhao 0009
- Yue Zhao 0010
- Yue Zhao 0011
- Yue Zhao 0012
- Yue Zhao 0013
- Yue Zhao 0014
- Yue Zhao 0015 — Southwest Jiaotong University, Provincial Key Lab of Information Coding and Transmission, Chengdu, China
- Yue Zhao 0017
- Yue Zhao 0018
- Yue Zhao 0019
- Yue Zhao 0020
- Yue Zhao 0021 — Chinese Academy of Sciences, Academy of Mathematics and Systems Science, State Key Laboratory of Scientific and Engineering Computing, Beijing, China
- Yue Zhao 0022
- Yue Zhao 0023
- Yue Zhao 0024
- Yue Zhao 0025
- Yue Zhao 0026
- Yue Zhao 0027
- Yue Zhao 0028
- Yue Zhao 0029
- Yue Zhao 0030
- Yue Zhao 0031
- Yue Zhao 0032
- Yue Zhao 0033
- Yue Zhao 0034
- Yue Zhao 0035
- Yue Zhao 0036
- Yue Zhao 0037
- Yue Zhao 0038
- Yue Zhao 0039
- Yue Zhao 0040
- Yue Zhao 0041
- Yue Zhao 0042
- Yue Zhao 0043
- Yue Zhao 0044
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2020 – today
- 2026
- [j8]Yuehan Qin, Li Li, Yi Nian, Xinyan Velocity Yu, Yue Zhao, Xuezhe Ma:
Don't Let It Hallucinate: Premise Verification via Retrieval-Augmented Logical Reasoning. Trans. Mach. Learn. Res. 2026 (2026) - [c51]Yuangang Li, Yiqing Shen, Yi Nian, Jiechao Gao, Ziyi Wang, Chenxiao Yu, Li Li, Jie Wang, Xiyang Hu, Yue Zhao:
Mitigating Hallucinations in Large Language Models via Causal Reasoning. AAAI 2026: 31852-31860 - [c50]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:
A Survey on LLM-based Conversational User Simulation. EACL (Volume 1: Long Papers) 2026: 4266-4301 - [c49]Xiongxiao Xu
Can Multimodal LLMs Perform Time Series Anomaly Detection? WWW 2026: 5392-5403 - [i96]Shawn Li
Defenses Against Prompt Attacks Learn Surface Heuristics. CoRR abs/2601.07185 (2026) - [i95]Yixuan Du, Chenxiao Yu, Haoyan Xu, Ziyi Wang, Yue Zhao, Xiyang Hu:
Multimodal Generative Engine Optimization: Rank Manipulation for Vision-Language Model Rankers. CoRR abs/2601.12263 (2026) - [i94]Jiate Li, Defu Cao, Li Li, Wei Yang, Yuehan Qin, Chenxiao Yu, Tiannuo Yang, Ryan A. Rossi, Yan Liu, Xiyang Hu, Yue Zhao:
"Someone Hid It": Query-Agnostic Black-Box Attacks on LLM-Based Retrieval. CoRR abs/2602.00364 (2026) - [i93]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:
Agent Banana: High-Fidelity Image Editing with Agentic Thinking and Tooling. CoRR abs/2602.09084 (2026) - [i92]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:
Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation. CoRR abs/2602.09319 (2026) - [i91]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:
Human-Aligned MLLM Judges for Fine-Grained Image Editing Evaluation: A Benchmark, Framework, and Analysis. CoRR abs/2602.13028 (2026) - [i90]Yi Nian, Haosen Cao, Shenzhe Zhu, Henry Peng Zou, Qingqing Luan, Yue Zhao:
When Only the Final Text Survives: Implicit Execution Tracing for Multi-Agent Attribution. CoRR abs/2603.17445 (2026) - [i89]Tiankai Yang, Jiate Li, Yi Nian, Shen Dong, Ruiyao Xu, Ryan Rossi, Kaize Ding, Yue Zhao:
No Attacker Needed: Unintentional Cross-User Contamination in Shared-State LLM Agents. CoRR abs/2604.01350 (2026) - 2025
- [j7]Haoyan Xu, Kay Liu, Zhengtao Yao, Philip S. Yu, Mengyuan Li, Kaize Ding, Yue Zhao:
LEGO-Learn: Label-Efficient Graph Open-Set Learning. Trans. Mach. Learn. Res. 2025 (2025) - [j6]Hao Dong
NNG-Mix: Improving Semi-Supervised Anomaly Detection With Pseudo-Anomaly Generation. IEEE Trans. Neural Networks Learn. Syst. 36(6): 10635-10647 (2025) - [c48]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:
AD-LLM: Benchmarking Large Language Models for Anomaly Detection. ACL (Findings) 2025: 1524-1547 - [c47]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:
From Selection to Generation: A Survey of LLM-based Active Learning. ACL (1) 2025: 14552-14569 - [c46]Zerui Xu
Retrieval-Reasoning Large Language Model-based Synthetic Clinical Trial Generation. BCB 2025: 34:1-34:6 - [c45]Shawn Li, Huixian Gong, Hao Dong, Tiankai Yang, Zhengzhong Tu, Yue Zhao:
DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection. CVPR 2025: 10193-10202 - [c44]Hanhui Wang, Yihua Zhang, Ruizheng Bai, Yue Zhao, Sijia Liu, Zhengzhong Tu:
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing. CVPR 2025: 23806-23816 - [c43]Diana-Alexandra Onutu, Yue Zhao
Score Matching on Large Geometric Graphs for Cosmology Generation. DS 2025: 17-31 - [c42]Yuangang Li, Jiaqi Li, Zhuo Xiao, Tiankai Yang, Yi Nian, Xiyang Hu, Yue Zhao:
NLP-ADBench: NLP Anomaly Detection Benchmark. EMNLP (Findings) 2025: 2464-2474 - [c41]Li Li, Jiashu Qu, Linxin Song, Yuxiao Zhou, Yuehan Qin, Tiankai Yang, Yue Zhao:
Treble Counterfactual VLMs: A Causal Approach to Hallucination. EMNLP (Findings) 2025: 18423-18434 - [c40]Lincan Li
TyphoFormer: Language-Augmented Transformer for Accurate Typhoon Track Forecasting. SIGSPATIAL/GIS 2025: 1174-1177 - [c39]Ojas Nimase, Yue Zhao, Yushun Dong:
Navigating Between Explainability and Extractability in Machine Learning as a Service. ICDM (Workshops) 2025: 2483-2487 - [c38]Yuehan Qin, Yichi Zhang, Yi Nian, Xueying Ding, Yue Zhao:
MetaOOD: Automatic Selection of OOD Detection Models. ICLR 2025 - [c37]Tiankai Yang, Junjun Liu, Michael Siu, Jiahang Wang, Zhuangzhuang Qian, Chanjuan Song, Cheng Cheng, Xiyang Hu, Yue Zhao:
AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection. IJCNLP-AACL (Findings) 2025: 191-205 - [c36]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:
LLM-Empowered Patient-Provider Communication: A Data-Centric Survey From a Clinical Perspective. IJCNLP-AACL (Findings) 2025: 684-705 - [c35]Kaixiang Zhao
A Survey on Model Extraction Attacks and Defenses for Large Language Models. KDD (2) 2025: 6227-6236 - [c34]Yanbo Wang, Jiayi Ye, Siyuan Wu, Chujie Gao, Yue Huang, Xiuying Chen, Yue Zhao, Xiangliang Zhang:
TRUSTEVAL: A Dynamic Evaluation Toolkit on Trustworthiness of Generative Foundation Models. NAACL (System Demonstrations) 2025: 70-84 - [c33]Haoyan Xu, Zhengtao Yao, Yushun Dong, Ziyi Wang, Ryan A. Rossi, Mengyuan Li, Yue Zhao:
Few-Shot Graph Out-of-Distribution Detection with LLMs. ECML/PKDD (4) 2025: 307-324 - [c32]Bolin Shen, Eren Erman Ozguven, Yue Zhao, Guang Wang, Yiqun Xie, Yushun Dong:
Learning from the Storm: A Multivariate Machine Learning Approach to Predicting Hurricane-Induced Economic Losses. SpatialConnect 2025: 1-4 - [c31]Sihan Chen
PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection. WWW (Companion Volume) 2025: 2807-2810 - [i88]Shixuan Li, Wei Yang, Peiyu Zhang, Xiongye Xiao, Defu Cao, Yuehan Qin, Xiaole Zhang, Yue Zhao, Paul Bogdan:
ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models. CoRR abs/2502.11059 (2025) - [i87]Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, Junda Wu, Xintong Li
From Selection to Generation: A Survey of LLM-based Active Learning. CoRR abs/2502.11767 (2025) - [i86]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
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. CoRR abs/2502.14296 (2025) - [i85]Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, Yue Zhao, Yushun Dong:
A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments. CoRR abs/2502.16065 (2025) - [i84]Xiongxiao Xu
Can Multimodal LLMs Perform Time Series Anomaly Detection? CoRR abs/2502.17812 (2025) - [i83]Shawn Li
Secure On-Device Video OOD Detection Without Backpropagation. CoRR abs/2503.06166 (2025) - [i82]Shawn Li
Treble Counterfactual VLMs: A Causal Approach to Hallucination. CoRR abs/2503.06169 (2025) - [i81]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
Generative AI in Transportation Planning: A Survey. CoRR abs/2503.07158 (2025) - [i80]Chengxuan Qian, Shuo Xing
DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning. CoRR abs/2503.11892 (2025) - [i79]Haoyan Xu, Zhengtao Yao
Few-Shot Graph Out-of-Distribution Detection with LLMs. CoRR abs/2503.22097 (2025) - [i78]Wang Wei, Tiankai Yang, Hongjie Chen, Ryan A. Rossi, Yue Zhao, Franck Dernoncourt, Hoda Eldardiry:
Efficient Model Selection for Time Series Forecasting via LLMs. CoRR abs/2504.02119 (2025) - [i77]Yi Nian, Shenzhe Zhu, Yuehan Qin, Li Li, Ziyi Wang, Chaowei Xiao, Yue Zhao:
JailDAM: Jailbreak Detection with Adaptive Memory for Vision-Language Model. CoRR abs/2504.03770 (2025) - [i76]Yiming Tang, Yi Fan, Chenxiao Yu, Tiankai Yang, Yue Zhao, Xiyang Hu:
StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization. CoRR abs/2504.05804 (2025) - [i75]Yuehan Qin, Shawn Li
Don't Let It Hallucinate: Premise Verification via Retrieval-Augmented Logical Reasoning. CoRR abs/2504.06438 (2025) - [i74]Weidi Luo, Qiming Zhang
Doxing via the Lens: Revealing Privacy Leakage in Image Geolocation for Agentic Multi-Modal Large Reasoning Model. CoRR abs/2504.19373 (2025) - [i73]Haoyan Xu, Zhengtao Yao
GLIP-OOD: Zero-Shot Graph OOD Detection with Foundation Model. CoRR abs/2504.21186 (2025) - [i72]Haoyan Xu, Zhengtao Yao
Graph Synthetic Out-of-Distribution Exposure with Large Language Models. CoRR abs/2504.21198 (2025) - [i71]Tiankai Yang, Junjun Liu, Wingchun Siu, Jiahang Wang, Zhuangzhuang Qian, Chanjuan Song, Cheng Cheng, Xiyang Hu, Yue Zhao:
AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection. CoRR abs/2505.12594 (2025) - [i70]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:
A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations. CoRR abs/2505.14106 (2025) - [i69]Zixiang Xu, Yanbo Wang, Yue Huang, Jiayi Ye, Haomin Zhuang, Zirui Song
SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models. CoRR abs/2505.23713 (2025) - [i68]Lincan Li, Eren Erman Ozguven, Yue Zhao, Guang Wang, Yiqun Xie, Yushun Dong:
TyphoFormer: Language-Augmented Transformer for Accurate Typhoon Track Forecasting. CoRR abs/2506.17609 (2025) - [i67]Bolin Shen, Eren Erman Ozguven, Yue Zhao, Guang Wang, Yiqun Xie, Yushun Dong:
Learning from the Storm: A Multivariate Machine Learning Approach to Predicting Hurricane-Induced Economic Losses. CoRR abs/2506.17964 (2025) - [i66]Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, Yue Zhao, Yushun Dong:
A Survey on Model Extraction Attacks and Defenses for Large Language Models. CoRR abs/2506.22521 (2025) - [i65]Yuehan Qin, Li Li, Defu Cao, Tiankai Yang, Yue Zhao:
M3OOD: Automatic Selection of Multimodal OOD Detectors. CoRR abs/2508.11936 (2025) - [i64]Yuangang Li, Yiqing Shen, Yi Nian, Jiechao Gao, Ziyi Wang, Chenxiao Yu, Shawn Li, Jie Wang, Xiyang Hu, Yue Zhao:
Mitigating Hallucinations in Large Language Models via Causal Reasoning. CoRR abs/2508.12495 (2025) - [i63]Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, Yue Zhao, Yushun Dong:
A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives. CoRR abs/2508.15031 (2025) - [i62]Diana-Alexandra Onutu, Yue Zhao, Joaquin Vanschoren
Score Matching on Large Geometric Graphs for Cosmology Generation. CoRR abs/2508.16990 (2025) - [i61]Langzhou He, Junyou Zhu, Fangxin Wang, Junhua Liu, Haoyan Xu, Yue Zhao, Philip S. Yu, Qitian Wu:
Can Molecular Foundation Models Know What They Don't Know? A Simple Remedy with Preference Optimization. CoRR abs/2509.25509 (2025) - [i60]Yanbo Wang, Zixiang Xu, Yue Huang, Xiangqi Wang, Zirui Song, Lang Gao, Chenxi Wang, Xiangru Tang, Yue Zhao, Arman Cohan, Xiangliang Zhang, Xiuying Chen:
DyFlow: Dynamic Workflow Framework for Agentic Reasoning. CoRR abs/2509.26062 (2025) - [i59]Wang Wei, Tiankai Yang, Hongjie Chen, Yue Zhao, Franck Dernoncourt, Ryan A. Rossi, Hoda Eldardiry:
Learning to Route LLMs from Bandit Feedback: One Policy, Many Trade-offs. CoRR abs/2510.07429 (2025) - [i58]Yuexing Hao, Yue Huang, Haoran Zhang, Chenyang Zhao, Zhenwen Liang, Paul Pu Liang, Yue Zhao, Lichao Sun, Saleh Kalantari, Xiangliang Zhang, Marzyeh Ghassemi:
The Role of Computing Resources in Publishing Foundation Model Research. CoRR abs/2510.13621 (2025) - [i57]Haoyan Xu, Ruizhi Qian, Jiate Li, Yushun Dong, Minghao Lin, Hanson Yan, Zhengtao Yao, Qinghua Liu, Junhao Dong, Ruopeng Huang, Yue Zhao, Mengyuan Li:
A Systematic Study of Model Extraction Attacks on Graph Foundation Models. CoRR abs/2511.11912 (2025) - [i56]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:
LLM-Powered Text-Attributed Graph Anomaly Detection via Retrieval-Augmented Reasoning. CoRR abs/2511.17584 (2025) - [i55]Kay Liu, Yuwei Han, Haoyan Xu, Henry Peng Zou, Yue Zhao, Philip S. Yu:
TAGFN: A Text-Attributed Graph Dataset for Fake News Detection in the Age of LLMs. CoRR abs/2511.21624 (2025) - [i54]Shawn Li
Charts Are Not Images: On the Challenges of Scientific Chart Editing. CoRR abs/2512.00752 (2025) - [i53]Jinbo Liu, Defu Cao, Yifei Wei, Tianyao Su, Yuan Liang, Yushun Dong, Yue Zhao, Xiyang Hu:
Topology Matters: Measuring Memory Leakage in Multi-Agent LLMs. CoRR abs/2512.04668 (2025) - 2024
- [j5]Ling Yang
Diffusion Models: A Comprehensive Survey of Methods and Applications. ACM Comput. Surv. 56(4): 105:1-105:39 (2024) - [c30]Yue Zhao:
Towards Reproducible, Automated, and Scalable Anomaly Detection. AAAI 2024: 22687 - [c29]Yue Zhao, Leman Akoglu:
HPOD: Hyperparameter Optimization for Unsupervised Outlier Detection. AutoML 2024: 2/1-24 - [c28]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:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024: 20166-20270 - [c27]Songtao Liu, Hanjun Dai, Yue Zhao, Peng Liu:
Preference Optimization for Molecule Synthesis with Conditional Residual Energy-based Models. ICML 2024: 30929-30945 - [c26]Xueying Ding
Fast Unsupervised Deep Outlier Model Selection with Hypernetworks. KDD 2024: 585-596 - [c25]Hao Dong, Yue Zhao, Eleni N. Chatzi, Olga Fink:
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities. NeurIPS 2024 - [i52]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
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i51]Hao Dong, Yue Zhao, Eleni N. Chatzi, Olga Fink:
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities. CoRR abs/2405.17419 (2024) - [i50]Songtao Liu, Hanjun Dai, Yue Zhao, Peng Liu:
Preference Optimization for Molecule Synthesis with Conditional Residual Energy-based Models. CoRR abs/2406.02066 (2024) - [i49]Yuehan Qin, Yichi Zhang, Yi Nian, Xueying Ding, Yue Zhao:
MetaOOD: Automatic Selection of OOD Detection Models. CoRR abs/2410.03074 (2024) - [i48]Zerui Xu, Fang Wu, Tianfan Fu, Yue Zhao:
Retrieval-Reasoning Large Language Model-based Synthetic Clinical Trial Generation. CoRR abs/2410.12476 (2024) - [i47]Haoyan Xu, Kay Liu, Zhengtao Yao
LEGO-Learn: Label-Efficient Graph Open-Set Learning. CoRR abs/2410.16386 (2024) - [i46]Chenxiao Yu, Zhaotian Weng, Yuangang Li, Zheng Li, Xiyang Hu, Yue Zhao:
Towards More Accurate US Presidential Election via Multi-step Reasoning with Large Language Models. CoRR abs/2411.03321 (2024) - [i45]Shawn Li, Huixian Gong, Hao Dong, Tiankai Yang, Zhengzhong Tu, Yue Zhao:
DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection. CoRR abs/2411.08227 (2024) - [i44]Zhendong Liu, Yi Nian, Henry Peng Zou, Li Li, Xiyang Hu, Yue Zhao:
COOD: Concept-based Zero-shot OOD Detection. CoRR abs/2411.13578 (2024) - [i43]Sizhe Liu, Yizhou Lu, Siyu Chen, Xiyang Hu, Jieyu Zhao, Tianfan Fu, Yue Zhao:
DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration. CoRR abs/2411.15692 (2024) - [i42]Hanhui Wang, Yihua Zhang, Ruizheng Bai, Yue Zhao, Sijia Liu, Zhengzhong Tu:
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing. CoRR abs/2411.16832 (2024) - [i41]Junda Wu, Hanjia Lyu
Personalized Multimodal Large Language Models: A Survey. CoRR abs/2412.02142 (2024) - [i40]Yuangang Li, Jiaqi Li, Zhuo Xiao, Tiankai Yang, Yi Nian, Xiyang Hu, Yue Zhao:
NLP-ADBench: NLP Anomaly Detection Benchmark. CoRR abs/2412.04784 (2024) - [i39]Jiechao Gao, Yuangang Li, Yue Zhao, Brad Campbell:
H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications. CoRR abs/2412.06210 (2024) - [i38]Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou
Political-LLM: Large Language Models in Political Science. CoRR abs/2412.06864 (2024) - [i37]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:
AD-LLM: Benchmarking Large Language Models for Anomaly Detection. CoRR abs/2412.11142 (2024) - [i36]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:
PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection. CoRR abs/2412.12154 (2024) - [i35]Chenxiao Yu, Zhaotian Weng, Yuangang Li, Zheng Li, Xiyang Hu, Yue Zhao:
A Large-scale Empirical Study on Large Language Models for Election Prediction. CoRR abs/2412.15291 (2024) - 2023
- [j4]Martin Q. Ma, Yue Zhao, Xiaorong Zhang, Leman Akoglu:
The Need for Unsupervised Outlier Model Selection: A Review and Evaluation of Internal Evaluation Strategies. SIGKDD Explor. 25(1): 19-35 (2023) - [j3]Zheng Li, Yue Zhao
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions. IEEE Trans. Knowl. Data Eng. 35(12): 12181-12193 (2023) - [c24]Yue Zhao, Guoqing Zheng, Subhabrata Mukherjee, Robert McCann
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels. AAAI 2023: 4937-4945 - [c23]Peng Xu, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqin Yang, Bei Yu:
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks. ICML 2023: 38826-38847 - [c22]Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao:
ADGym: Design Choices for Deep Anomaly Detection. NeurIPS 2023 - [c21]Jaemin Yoo, Yue Zhao, Lingxiao Zhao, Leman Akoglu:
DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection. ECML/PKDD (1) 2023: 254-269 - [i34]Minqi Jiang, Chaochuan Hou, Ao Zheng, Xiyang Hu, Songqiao Han, Hailiang Huang, Xiangnan He, Philip S. Yu, Yue Zhao:
Weakly Supervised Anomaly Detection: A Survey. CoRR abs/2302.04549 (2023) - [i33]Peng Xu, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqing Yang
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks. CoRR abs/2305.14065 (2023) - [i32]Jaemin Yoo, Yue Zhao, Lingxiao Zhao, Leman Akoglu:
DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection. CoRR abs/2307.06534 (2023) - [i31]Xueying Ding, Yue Zhao, Leman Akoglu:
Fast Unsupervised Deep Outlier Model Selection with Hypernetworks. CoRR abs/2307.10529 (2023) - [i30]Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen
ADGym: Design Choices for Deep Anomaly Detection. CoRR abs/2309.15376 (2023) - [i29]Hao Dong, Gaëtan Frusque, Yue Zhao, Eleni N. Chatzi, Olga Fink:
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation. CoRR abs/2311.11961 (2023) - [i28]Yingzhou Lu, Minjie Shen, Yue Zhao, Chenhao Li, Fan Meng, Xiao Wang, David M. Herrington, Yue Wang, Tim Fu, Capucine Van Rechem:
GenoCraft: A Comprehensive, User-Friendly Web-Based Platform for High-Throughput Omics Data Analysis and Visualization. CoRR abs/2312.14249 (2023) - 2022
- [j2]Yue Zhao, George H. Chen, Zhihao Jia:
TOD: GPU-accelerated Outlier Detection via Tensor Operations. Proc. VLDB Endow. 16(3): 546-560 (2022) - [c20]Yue Zhao, Sean Zhang, Leman Akoglu:
Toward Unsupervised Outlier Model Selection. ICDM 2022: 773-782 - [c19]Songqiao Han, Xiyang Hu, Hailiang Huang, Minqi Jiang, Yue Zhao:
ADBench: Anomaly Detection Benchmark. NeurIPS 2022 - [c18]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:
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs. NeurIPS 2022 - [c17]Zhiming Xu, Xiao Huang
Contrastive Attributed Network Anomaly Detection with Data Augmentation. PAKDD (2) 2022: 444-457 - [i27]Zheng Li, Yue Zhao, Xiyang Hu, Nicola Botta, Cezar Ionescu, George H. Chen:
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions. CoRR abs/2201.00382 (2022) - [i26]Kay Liu
PyGOD: A Python Library for Graph Outlier Detection. CoRR abs/2204.12095 (2022) - [i25]Songqiao Han, Xiyang Hu, Hailiang Huang, Mingqi Jiang, Yue Zhao:
ADBench: Anomaly Detection Benchmark. CoRR abs/2206.09426 (2022) - [i24]Kay Liu
Benchmarking Node Outlier Detection on Graphs. CoRR abs/2206.10071 (2022) - [i23]Yue Zhao, Guoqing Zheng, Subhabrata Mukherjee, Robert McCann
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels. CoRR abs/2208.11290 (2022) - [i22]Yue Zhao, Leman Akoglu:
Towards Unsupervised HPO for Outlier Detection. CoRR abs/2208.11727 (2022) - [i21]Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Ming-Hsuan Yang, Bin Cui:
Diffusion Models: A Comprehensive Survey of Methods and Applications. CoRR abs/2209.00796 (2022) - [i20]Yue Zhao, Sean Zhang, Leman Akoglu:
Toward Unsupervised Outlier Model Selection. CoRR abs/2211.01834 (2022) - 2021
- [c16]Kwei-Herng Lai, Daochen Zha, Guanchu Wang
TODS: An Automated Time Series Outlier Detection System. AAAI 2021: 16060-16062 - [c15]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:
SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection. MLSys 2021 - [c14]Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf H. Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik:
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development. NeurIPS Datasets and Benchmarks 2021 - [c13]Kwei-Herng Lai, Daochen Zha, Junjie Xu, Yue Zhao, Guanchu Wang, Xia Ben Hu:
Revisiting Time Series Outlier Detection: Definitions and Benchmarks. NeurIPS Datasets and Benchmarks 2021 - [c12]Yue Zhao, Ryan A. Rossi, Leman Akoglu:
Automatic Unsupervised Outlier Model Selection. NeurIPS 2021: 4489-4502 - [i19]Yue Zhao, Zhi Qiao, Cao Xiao, Lucas Glass, Jimeng Sun:
PyHealth: A Python Library for Health Predictive Models. CoRR abs/2101.04209 (2021) - [i18]Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics. CoRR abs/2102.09548 (2021) - [i17]Martin Q. Ma, Yue Zhao, Xiaorong Zhang, Leman Akoglu:
A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice? CoRR abs/2104.01422 (2021) - [i16]Yue Zhao
TOD: Tensor-based Outlier Detection. CoRR abs/2110.14007 (2021) - 2020
- [c11]Yue Zhao
Combining Machine Learning Models Using combo Library. AAAI 2020: 13648-13649 - [c10]Changlin Wan, Dongya Jia, Yue Zhao
A data denoising approach to optimize functional clustering of single cell RNA-sequencing data. BIBM 2020: 217-222 - [c9]Meng-Chieh Lee, Yue Zhao
AutoAudit: Mining Accounting and Time-Evolving Graphs. IEEE BigData 2020: 950-956 - [c8]Zheng Li, Yue Zhao
SynC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources. ICDM (Workshops) 2020: 571-578 - [c7]Zheng Li, Yue Zhao
COPOD: Copula-Based Outlier Detection. ICDM 2020: 1118-1123 - [c6]Yiqun Mei, Yue Zhao
Dsr: An Accurate Single Image Super Resolution Approach For Various Degradations. ICME 2020: 1-6 - [i15]Yue Zhao
SUOD: Toward Scalable Unsupervised Outlier Detection. CoRR abs/2002.03222 (2020) - [i14]Yue Zhao
SUOD: A Scalable Unsupervised Outlier Detection Framework. CoRR abs/2003.05731 (2020) - [i13]Zheng Li, Yue Zhao, Nicola Botta, Cezar Ionescu, Xiyang Hu:
COPOD: Copula-Based Outlier Detection. CoRR abs/2009.09463 (2020) - [i12]Zheng Li, Yue Zhao, Jialin Fu:
SYNC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources. CoRR abs/2009.09471 (2020) - [i11]Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Ben Hu:
TODS: An Automated Time Series Outlier Detection System. CoRR abs/2009.09822 (2020) - [i10]Yue Zhao, Ryan A. Rossi, Leman Akoglu:
Automating Outlier Detection via Meta-Learning. CoRR abs/2009.10606 (2020) - [i9]Meng-Chieh Lee, Yue Zhao, Aluna Wang, Pierre Jinghong Liang, Leman Akoglu, Vincent S. Tseng, Christos Faloutsos:
AutoAudit: Mining Accounting and Time-Evolving Graphs. CoRR abs/2011.00447 (2020)
2010 – 2019
- 2019
- [j1]Yue Zhao, Zain Nasrullah, Zheng Li:
PyOD: A Python Toolbox for Scalable Outlier Detection. J. Mach. Learn. Res. 20: 96:1-96:7 (2019) - [c5]Zain Nasrullah, Yue Zhao
Music Artist Classification with Convolutional Recurrent Neural Networks. IJCNN 2019: 1-8 - [c4]Yue Zhao
LSCP: Locally Selective Combination in Parallel Outlier Ensembles. SDM 2019: 585-593 - [i8]Yue Zhao
PyOD: A Python Toolbox for Scalable Outlier Detection. CoRR abs/1901.01588 (2019) - [i7]Zain Nasrullah, Yue Zhao:
Music Artist Classification with Convolutional Recurrent Neural Networks. CoRR abs/1901.04555 (2019) - [i6]Colin Wan, Zheng Li, Yue Zhao
SynC: A Unified Framework for Generating Synthetic Population with Gaussian Copula. CoRR abs/1904.07998 (2019) - [i5]Yue Zhao, Xuejian Wang, Cheng Cheng, Xueying Ding:
Combining Machine Learning Models using combo Library. CoRR abs/1910.07988 (2019) - [i4]Yue Zhao, Maciej K. Hryniewicki:
DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles. CoRR abs/1911.10418 (2019) - [i3]Yue Zhao, Maciej K. Hryniewicki:
XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning. CoRR abs/1912.00290 (2019) - 2018
- [c3]Yue Zhao
XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning. IJCNN 2018: 1-8 - [c2]Yue Zhao
Employee Turnover Prediction with Machine Learning: A Reliable Approach. IntelliSys (2) 2018: 737-758 - [i2]Yue Zhao, Maciej K. Hryniewicki, Zain Nasrullah, Zheng Li:
LSCP: Locally Selective Combination in Parallel Outlier Ensembles. CoRR abs/1812.01528 (2018) - 2017
- [c1]Yue Zhao
An empirical study of touch-based authentication methods on smartwatches. ISWC 2017: 122-125 - [i1]Yue Zhao, Zhongtian Qiu, Yiqing Yang, Weiwei Li, Mingming Fan:
An empirical study of touch-based authentication methods on smartwatches. CoRR abs/1710.04608 (2017)
Coauthor Index
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