Lin Jiang

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…

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…

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.…

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…

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…

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…

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…

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…

SynHAT: A Two-stage Coarse-to-Fine Diffusion Framework for Synthesizing Human Activity Traces

Rongchao Xu, Lin Jiang, Dahai Yu +2

Human activity traces (HATs) are critical for many applications, including human mobility modeling and point-of-interest (POI) recommendation. However, growing privacy concerns hav…

HealthMamba: An Uncertainty-aware Spatiotemporal Graph State Space Model for Effective and Reliable Healthcare Facility Visit Prediction

Dahai Yu, Lin Jiang, Rongchao Xu +1

Healthcare facility visit prediction is essential for optimizing healthcare resource allocation and informing public health policy. Despite advanced machine learning methods being…

GeoGen: A Two-stage Coarse-to-Fine Framework for Fine-grained Synthetic Location-based Social Network Trajectory Generation

Rongchao Xu, Kunlin Cai, Lin Jiang +3

Location-Based Social Network (LBSN) check-in trajectory data are important for many practical applications, like POI recommendation, advertising, and pandemic intervention. Howeve…

UQGNN: Uncertainty Quantification of Graph Neural Networks for Multivariate Spatiotemporal Prediction

Dahai Yu, Dingyi Zhuang, Lin Jiang +5

Spatiotemporal prediction plays a critical role in numerous real-world applications such as urban planning, transportation optimization, disaster response, and pandemic control. In…

HCRide: Harmonizing Passenger Fairness and Driver Preference for Human-Centered Ride-Hailing

Lin Jiang, Yu Yang, Guang Wang

Order dispatch systems play a vital role in ride-hailing services, which directly influence operator revenue, driver profit, and passenger experience. Most existing work focuses on…