collaborators

16 papers

cs.LG2026

SynEHR: Joint Modeling Inter-visit Temporal Evolution and Intra-visit Clinical Structure for Longitudinal EHR Synthesis

Ximiao Li, Lin Jiang, Rongchao Xu +3

Longitudinal electronic health records (EHRs) document patients' sequences of clinical visits over time, preserving the temporal evolution of disease progression and care delivery.…

cs.LG2026

SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation

Lin Jiang, Dahai Yu, Ravikumar Gelli +1

Fine-grained energy consumption data are essential for applications such as demand forecasting, demand response planning, and grid reliability assessment. However, access to such d…

cs.AI2026

TrAC: Trace-Conditioned Answer Consistency for Efficient Uncertainty Quantification in LLMs

Dahai Yu, Lin Jiang, Rongchao Xu +1

Large language models (LLMs) can generate fluent reasoning traces that nevertheless lead to incorrect answers, making response-level uncertainty estimation important for abstention…

cs.AI2026

SymboUQ: Symbolic Uncertainty Quantification for Spatial Reasoning in LLMs

Dahai Yu, Lin Jiang, Rongchao Xu +1

Although large language models (LLMs) can produce fluent spatial reasoning traces, their intermediate relations may fail to support the final conclusion, making token-level confide…

cs.LG2026

MBDiff: Multi-view Behavior-aware Diffusion Model for Probabilistic Utility Data Imputation

Rongchao Xu, Lin Jiang, Dahai Yu +2

Utility data (e.g., electricity, water, and gas consumption), collected by ubiquitous sensors and embedded devices, often contains substantial missing values due to various factors…

cs.AI2026

MobiDiff: Semantic-Aware Multi-Channel Discrete Diffusion for Human Mobility Data Generation

Rongchao Xu, Lin Jiang, Dahai Yu +5

Human mobility data are essential for transportation optimization, urban planning, and resource allocation, yet real-world mobility data are costly to collect and difficult to shar…