3 citations · 4 across the 10 of their papers we have counts for
11 papers
Scoping the Landscape of Large Language Model-based Affective Personal Informatics: Review, Reflection, Future Direction
Minjie Liu, Lihuan Li, Xuran Li +2
Affective personal informatics (PI) involves capturing, tracking, analyzing, and reflecting on personal data to support emotional self-awareness and mental well-being. Recent advan…
GHGbench: A Unified Multi-Entity, Multi-Task Benchmark for Carbon Emission Prediction
Yifan Duan, Siyuan Zheng, Lihuan Li +2
Open datasets and benchmarks for entity-level carbon-emission prediction remain fragmented across access, scale, granularity, and evaluation. We introduce GHGbench, an open dataset…
AnyMo: Geometry-Aware Setup-Agnostic Modeling of Human Motion in the Wild
Baiyu Chen, Zechen Li, Wilson Wongso +5
As wearable and mobile devices become increasingly embedded in daily life, they offer a practical way to continuously sense human motion in the wild. But inertial signals are highl…
STAR: Failure-Aware Markovian Routing for Multi-Agent Spatiotemporal Reasoning
Ruiyi Yang, Lihuan Li, Hao Xue +1
Compositional spatiotemporal reasoning often requires a system to invoke multiple heterogeneous specialists, such as geometric, temporal, topological, and trajectory agents. A cent…
TrajPrism: A Multi-Task Benchmark for Language-Grounded Urban Trajectory Understanding
Lihuan Li, Wilson Wongso, Baiyu Chen +6
Urban mobility is naturally expressed both as trajectories in space and as natural-language descriptions of travel intent, constraints, and preferences. However, prior work rarely…
TrajDLM: Topology-Aware Block Diffusion Language Model for Trajectory Generation
Wilson Wongso, Lihuan Li, Arian Prabowo +4
Generating high-fidelity synthetic GPS trajectories is increasingly important for applications in transportation, urban planning, and what-if scenario simulation, especially as pri…
Classical Feature Embeddings Help in BERT-Based Human Mobility Prediction
Yunzhi Liu, Haokai Tan, Rushi Kanjaria +2
Human mobility forecasting is crucial for disaster relief, city planning, and public health. However, existing models either only model location sequences or include time informati…
HiT-JEPA: A Hierarchical Self-supervised Trajectory Embedding Framework for Similarity Computation
Lihuan Li, Hao Xue, Shuang Ao +2
The representation of urban trajectory data plays a critical role in effectively analyzing spatial movement patterns. Despite considerable progress, the challenge of designing traj…
Optimizing Electric Vehicle Charging Station Locations: A Data-driven System with Multi-source Fusion
Lihuan Li, Du Yin, Hao Xue +2
With the growing electric vehicles (EVs) charging demand, urban planners face the challenges of providing charging infrastructure at optimal locations. For example, range anxiety d…
T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computation
Lihuan Li, Hao Xue, Yang Song +1
Trajectory similarity computation is an essential technique for analyzing moving patterns of spatial data across various applications such as traffic management, wildlife tracking,…
Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Prediction
Lihuan Li, Maurice Pagnucco, Yang Song
Pedestrian trajectory prediction is an essential and challenging task for a variety of real-life applications such as autonomous driving and robotic motion planning. Besides genera…