Yan Liu
Professor of Computer Science, Electrical and Computer Engineering, and Biomedical Sciences, and Fletcher Jones Foundation Chair in Computer Science
Leads the Melady lab on time-series machine learning, spatiotemporal forecasting and healthcare AI.
Yan Liu's lab at USC works in Machine Learning. 31 papers since 2023, 16 at top venues, mostly ICLR and ICML. 6 PhD students. 17 alumni, most often to Amazon and Meta. Applications close .
At a glance
- papers, 2023–2026
- 8/ year
- at T1 venues
- 52%
- PhD students
- 6
- MS students
- 0
- alumni listed
- 17
Papers by yearfrom the lab homepage, 2023–2026
- 6 papers2026 · T1 6 · collecting
- 10 papers2025 · T1 4
- 8 papers2024 · T1 4
- 7 papers2023 · T1 2
T1 venuesOtherVenues: ICLR, ICML, NeurIPS, TMLR, AAAI
Research focuspaper titles that use each topic's words
- forecasting7 papers
- spatiotemporal1 paper
- time-series1 paper
- healthcare0 papers
- leads0 papers
Paper list
From the lab homepage.
20266 papers
- ICML (T1)"Someone Hid It!": Query-Agnostic Black-Box Attacks on LLM-Based Retrieval (opens in a new tab)
- ICLR (T1)Adaptive Collaboration with Humans: Metacognitive Policy Optimization for Multi-Agent LLMs with Continual Learning (opens in a new tab)
- ICLR (T1)PINFDiT: Energy-Based Physics-Informed Diffusion Transformers for General-purpose Time Series Tasks (opens in a new tab)
- ICML (T1)Position: Beyond Prediction: Toward Verifiable Physiological Waveform Reasoning with Foundation Models and Agentic LLMs (opens in a new tab)
- TPAMI (T1)Sample-Level Prototypical Federated Learning (opens in a new tab)
- TMLR (T1)TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis (opens in a new tab)
202510 papers
- ICLR (T1)A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation (opens in a new tab)
- Proceedings of the ACM International Conference on Advances in Geographic Information SystemsCartoMapQA: A Fundamental Benchmark Dataset Evaluating Vision-Language Models on Cartographic Map Understanding (opens in a new tab)
- AMIAEnECG: Efficient Ensemble Learning for Electrocardiogram Multi-task Foundation Models (opens in a new tab)
- KDD WorkshopFoundation Models for Demand Forecasting via Dual-Strategy Ensembling (opens in a new tab)
- ICLR (T1)InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly (opens in a new tab)
- TMLR (T1)Physics-Aware Spatiotemporal Causal Graph Network for Forecasting with Limited Data (opens in a new tab)
- ICML WorkshopSpeaking Numbers to LLMs: Multi-Wavelet Number Embeddings for Time Series Forecasting (opens in a new tab)
- ACL (T1)Topology Matters: Measuring Memory Leakage in Multi-Agent LLMs (opens in a new tab)
- Machine Learning for Computational Science and EngineeringWhen Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning (opens in a new tab)
- Second Conference on Language ModelingWhen Splitting Makes Stronger: A Theoretical and Empirical Analysis of Divide-and-Conquer Prompting in LLMs (opens in a new tab)
20248 papers
- NeurIPS (T1)Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference (opens in a new tab)
- ICML (T1)An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series (opens in a new tab)
- AAAI (T1)GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting (opens in a new tab)
- ICMLAMixture of Projection Experts for Multivariate Long-Term Time Series Forecasting (opens in a new tab)
- ICLR (T1)TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (opens in a new tab)
- Findings of ACLTextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents (opens in a new tab)
- ICML WorkshopTimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model (opens in a new tab)
- Companion Proceedings of the ACM Web ConferenceToward Mitigating Misinformation and Social Media Manipulation in LLM Era (opens in a new tab)
20237 papers
- Advances in Information RetrievalCapturing Cross-Platform Interaction for Identifying Coordinated Accounts of Misinformation Campaigns (opens in a new tab)
- NeurIPS (T1)Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning (opens in a new tab)
- ACM International Conference on AI in FinanceLarge Scale Financial Time Series Forecasting with Multi-faceted Model (opens in a new tab)
- Medical Image Computing and Computer Assisted Intervention - MICCAISelf-supervised Sim-to-Real Kinematics Reconstruction for Video-Based Assessment of Intraoperative Suturing Skills (opens in a new tab)
- CVPR (T1)SVGformer: Representation Learning for Continuous Vector Graphics using Transformers (opens in a new tab)
- SDMTime-delayed Multivariate Time Series Predictions (opens in a new tab)
- AMIA … Annual Symposium proceedings. AMIA SymposiumTransferable and Interpretable Treatment Effectiveness Prediction for Ovarian Cancer via Multimodal Deep Learning
Where alumni went17 listed, 69% to industry
Industry 9Academia 4
Most often to
- Amazon
- Meta
Also to
- Michican State University
- UC San Diego
- University of Maryland
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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