collaborators

15 papers

cs.LG2026

EviRec: Continual Evidence Learning for Dual Cold-Start POI Recommendation

Rongchao Xu, Lin Jiang, Guang Wang

Point-of-Interest (POI) recommendation is a core task in location-based services, yet most existing methods assume a fixed user population and POI catalog. Through a large-scale da…

cs.LG2026

ZeroHAT: Behavior-Conditioned Zero-Shot Human Activity Trace Generation

Rongchao Xu, Dahai Yu, Lin Jiang +1

Human activity traces record individuals' timestamped visits to points of interest and are essential for applications such as mobility prediction and urban simulation. However, acc…

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.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

ChainUQ: Reasoning Consistency-Aware Uncertainty Quantification for Large Language Models

Dahai Yu, Rongchao Xu, Lin Jiang +2

While large language models (LLMs) exhibit impressive reasoning capabilities, response-level confidence may remain unreliable when intermediate claims conflict with the final concl…

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…