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Yue Zhao

University of Southern California, Department of Computer Science, CA, USA

24 papers at tracked venues · 18 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0003-3401-4921 ↗Google Scholar ↗Homepage ↗

Venues

ACL ×4AAAI ×2CVPR ×2EMNLP ×2ICML ×2NeurIPS ×2SIGKDD ×2WWW ×2EACL ×1ECML-PKDD ×1ICCV ×1ICDM ×1ICLR ×1NAACL ×1

Frequent coauthors

Yuangang Li
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Shawn Li
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Yanbo Wang
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Bo Ni
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Xiongxiao Xu
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Ruiyao Xu
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Jinbo Liu
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Kaixiang Zhao
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Tiankai Yang
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Hanhui Wang
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Haoyan Xu
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Yu Xia
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Papers

  1. A Survey on LLM-based Conversational User Simulation
    EACL 2026 ·
    Bo Ni
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  2. Can Multimodal LLMs Perform Time Series Anomaly Detection?
    WWW 2026 ·
    Xiongxiao Xu
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  3. CoAct: Co-Active LLM Preference Learning with Human-AI Synergy
    ACL 2026 ·
    Ruiyao Xu
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  4. Mitigating Hallucinations in Large Language Models via Causal Reasoning
    AAAI 2026 ·
    Yuangang Li
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  5. Topology Matters: Measuring Memory Leakage in Multi-Agent LLMs
    ACL 2026 ·
    Jinbo Liu
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  6. A Survey on Model Extraction Attacks and Defenses for Large Language Models
    SIGKDD 2025 ·
    Kaixiang Zhao
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  7. AD-LLM: Benchmarking Large Language Models for Anomaly Detection
    ACL 2025 ·
    Tiankai Yang
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  8. DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection
    CVPR 2025 ·
    Shawn Li
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  9. DyFlow: Dynamic Workflow Framework for Agentic Reasoning
    NeurIPS 2025 ·
    Yanbo Wang
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  10. Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing
    CVPR 2025 ·
    Hanhui Wang
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  11. Few-Shot Graph Out-of-Distribution Detection with LLMs
    ECML-PKDD 2025 ·
    Haoyan Xu
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  12. From Selection to Generation: A Survey of LLM-based Active Learning
    ACL 2025 ·
    Yu Xia
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  13. MetaOOD: Automatic Selection of OOD Detection Models
    ICLR 2025 ·
    Yuehan Qin
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  14. NLP-ADBench: NLP Anomaly Detection Benchmark
    EMNLP 2025 ·
    Yuangang Li
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  15. Navigating Between Explainability and Extractability in Machine Learning as a Service
    ICDM 2025 ·
    Ojas Nimase
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  16. PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection
    WWW 2025 ·
    Sihan Chen
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  17. Secure On-Device Video OOD Detection without Backpropagation
    ICCV 2025 ·
    Shawn Li
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  18. TRUSTEVAL: A Dynamic Evaluation Toolkit on Trustworthiness of Generative Foundation Models
    NAACL 2025 ·
    Yanbo Wang
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  19. Treble Counterfactual VLMs: A Causal Approach to Hallucination
    EMNLP 2025 ·
    Li Li
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  20. Fast Unsupervised Deep Outlier Model Selection with Hypernetworks
    SIGKDD 2024 ·
    Xueying Ding
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  21. MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
    NeurIPS 2024 ·
    Hao Dong
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  22. Position: TrustLLM: Trustworthiness in Large Language Models
    ICML 2024 ·
    Yue Huang
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  23. Preference Optimization for Molecule Synthesis with Conditional Residual Energy-based Models
    ICML 2024 ·
    Songtao Liu
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  24. Towards Reproducible, Automated, and Scalable Anomaly Detection
    AAAI 2024 · Yue Zhao