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Defu Cao
PhD Candidate
Latest
PG-LRF: Physiology-Guided Latent Rectified Flow for Electro-Hemodynamic PPG-to-ECG Generation
TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis
Adaptive Collaboration with Humans: Metacognitive Policy Optimization for Multi-Agent LLMs with Continual Learning
Position: Beyond Prediction: Toward Verifiable Physiological Waveform Reasoning with Foundation Models and Agentic LLMs
TemporalBench: A Benchmark for Evaluating LLM-Based Agents on Contextual and Event-Informed Time Series Tasks
"Someone Hid It!": Query-Agnostic Black-Box Attacks on LLM-Based Retrieval
PINFDiT: Energy-Based Physics-Informed Diffusion Transformers for General-purpose Time Series Tasks
Conversational Time Series Foundation Models: Towards Explainable and Effective Forecasting
Topology Matters: Measuring Memory Leakage in Multi-Agent LLMs
Toward Evolutionary Intelligence: LLM-based Agentic Systems with Multi-Agent Reinforcement Learning
EnECG: Efficient Ensemble Learning for Electrocardiogram Multi-task Foundation Models
A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models
When LLM Meets Time Series: Can LLMs Perform Multi-Step Time Series Reasoning and Inference
Foundation Models for Demand Forecasting via Dual-Strategy Ensembling
Speaking Numbers to LLMs: Multi-Wavelet Number Embeddings for Time Series Forecasting
When Splitting Makes Stronger: A Theoretical and Empirical Analysis of Divide-and-Conquer Prompting in LLMs
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning
Mixture of Projection Experts for Multivariate Long-Term Time Series Forecasting
Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference
TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model
An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting
GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting
Large Scale Financial Time Series Forecasting with Multi-faceted Model
SVGformer: Representation Learning for Continuous Vector Graphics using Transformers
Estimating Treatment Effects in Continuous Time with Hidden Confounders
Time-delayed Multivariate Time Series Predictions
DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift
Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media
Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction
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