Yue Zhao
Assistant Professor of Computer Science
Leads the FORTIS lab on anomaly detection and trustworthy, scalable ML systems.
Yue Zhao's lab at USC works on time series, anomaly & spatio-temporal data, trustworthy & safe ML and recognition, detection & segmentation. 71 papers since 2023, 34 at top venues, mostly NeurIPS and Findings of EMNLP. 8 PhD students and 5 master's students. 23 alumni, most often to Amazon and ByteDance. Applications close .
At a glance
- papers, 2023–2026
- 19/ year
- at T1 venues
- 48%
- PhD students
- 8
- MS students
- 5
- alumni listed
- 23
Papers by yearfrom the lab homepage, 2023–2026
- 34 papers2026 · T1 18 · collecting
- 24 papers2025 · T1 8
- 6 papers2024 · T1 4
- 7 papers2023 · T1 4
T1 venuesOtherVenues: NeurIPS, Findings of EMNLP, ICLR, ACL, ICML
Research focuspaper titles that use each topic's words
- Recognition, detection & segmentation17 papers
- Time series, anomaly & spatio-temporal data10 papers
- anomaly7 papers
- anomaly detection7 papers
- Trustworthy & safe ML0 papers
Paper list
From the lab homepage.
202634 papers
- ICML (T1)"Someone Hid It": Query-Agnostic Black-Box Attacks on LLM-Based Retrieval
- EACLA Survey on LLM-based Conversational User Simulation
- ACM AI Leadership Summit, (condensed 4-page version); earlier version at ACL KnowFM WorkshopAuditable Agents
- —AutoDavis: Automatic and Dynamic Evaluation Protocol of Large Vision-Language Models on Visual Question-Answering
- WWW (T1)Can Multimodal LLMs Perform Time Series Anomaly Detection?
- NeurIPS (T1)Cat-DPO: Category-Adaptive Safety Alignment
- ICLR (T1)Charts Are Not Images: On the Challenges of Scientific Chart Editing
- —CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?
- ACL (T1)CoAct: Co-Active LLM Preference Learning with Human-AI Synergy
- ICLR (T1)DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning
- ACL (T1)Defenses Against Prompt Attacks Learn Surface Heuristics
- Findings of EMNLPDOG-DPO: Dynamic Optimization in Geometry for Safety Alignment
202524 papers
- MTI-LLMA Personalized Conversational Benchmark: Towards Simulating Personalized Conversations
- KDD (T1)A Survey on Model Extraction Attacks and Defenses for Large Language Models
- Findings of IJCNLP-AACLAD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection
- Findings of ACLAD-LLM: Benchmarking Large Language Models for Anomaly Detection
- CVPR (T1)DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection
- FMs4BioDrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration
- NeurIPS (T1)DyFlow: Dynamic Workflow Framework for Agentic Reasoning
- CVPR (T1)Edit Away and My Face Will Not Stay: Personal Biometric Defense against Malicious Generative Editing
- ECML-PKDDFew-Shot Graph Out-of-Distribution Detection with LLMs
- ACL (T1)From Selection to Generation: A Survey of LLM-based Active Learning
- COLMJailDAM: Jailbreak Detection with Adaptive Memory for Vision-Language Model
- ACM SIGSPATIAL SpatialConnect WorkshopLearning from the Storm: A Multivariate Machine Learning Approach to Predicting Hurricane-Induced Economic Losses
20246 papers
- —AAAI New Faculty Highlights, 2024
- KDD (T1)Fast Unsupervised Deep Outlier Model Selection with Hypernetworks
- AutoMLHPOD: Hyperparameter Optimization for Unsupervised Outlier Detection
- NeurIPS (T1)MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
- TNNLS (T1)NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation
- ICML (T1)TrustLLM: Trustworthiness in Large Language Models
20237 papers
- NeurIPS (T1)ADGym: Design Choices for Deep Anomaly Detection
- AAAI (T1)ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels
- ACM Computing SurveysDiffusion Models: A Comprehensive Survey of Methods and Applications
- ICML (T1)Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks
- ECML-PKDDDSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection
- ACM SIGKDD Explorations NewsletterThe Need for Unsupervised Outlier Model Selection: A Review and Evaluation of Internal Evaluation Strategies
- VLDB (T1)TOD: GPU-accelerated Outlier Detection via Tensor Operations
Where alumni went23 listed, 36% to industry
Industry 4Academia 7
Most often to
- Amazon
- ByteDance
- NVIDIA
Also to
- Carnegie Mellon University
- MIT
Apply to USCFall 2027
Computer Science PhD (Viterbi)
- Round
- Single round (Dec 15)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Confirmed on the program page.
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- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
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