85 citations · 92 across the 29 of their papers we have counts for
9 papers · 1 filter
ODEStream: A Buffer-Free Online Learning Framework with ODE-based Adaptor for Streaming Time Series Forecasting
Futoon M. Abushaqra, Hao Xue, Yongli Ren +1
Addressing the challenges of irregularity and concept drift in streaming time series is crucial for real-world predictive modelling. Previous studies in time series continual learn…
GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems
Wilson Wongso, Hao Xue, Flora D. Salim
Traditional Point-of-Interest (POI) recommendation systems often lack transparency, interpretability, and scrutability due to their reliance on dense vector-based user embeddings.…
SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition
Zechen Li, Shohreh Deldari, Linyao Chen +2
We introduce SensorLLM, a two-stage framework that enables Large Language Models (LLMs) to perform human activity recognition (HAR) from sensor time-series data. Despite their stro…
WorkR: Occupation Inference for Intelligent Task Assistance
Yonchanok Khaokaew, Hao Xue, Mohammad Saiedur Rahaman +1
Occupation information can be utilized by digital assistants to provide occupation-specific personalized task support, including interruption management, task planning, and recomme…
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,…
ViLCo-Bench: VIdeo Language COntinual learning Benchmark
Tianqi Tang, Shohreh Deldari, Hao Xue +2
Video language continual learning involves continuously adapting to information from video and text inputs, enhancing a model's ability to handle new tasks while retaining prior kn…
Large Language Models for Next Point-of-Interest Recommendation
Peibo Li, Maarten de Rijke, Hao Xue +3
The next Point of Interest (POI) recommendation task is to predict users' immediate next POI visit given their historical data. Location-Based Social Network (LBSN) data, which is…
Prompt Mining for Language-based Human Mobility Forecasting
Hao Xue, Tianye Tang, Ali Payani +1
With the advancement of large language models, language-based forecasting has recently emerged as an innovative approach for predicting human mobility patterns. The core idea is to…
SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding
Ruiyi Yang, Flora D. Salim, Hao Xue
Knowledge graphs (KGs) have been increasingly employed for link prediction and recommendation using real-world datasets. However, the majority of current methods rely on static dat…