Chen Zhang

Combinatorial Bandit Bayesian Optimization for Tensor Outputs

Towards Foundation Models for Zero-Shot Time Series Anomaly Detection: Leveraging Synthetic Data and Relative Context Discrepancy

DRL-STAF: A Deep Reinforcement Learning Framework for State-aware Forecasting of Complex Multivariate Hidden Markov Process

AXIS: Explainable Time Series Anomaly Detection with Large Language Models

FAME: Adaptive Functional Attention with Expert Routing for Function-on-Function Regression

XTraffic: A Dataset Where Traffic Meets Incidents with Explainability and More

Multi-Agent Causal Discovery Using Large Language Models