10 citations · 14 across the 5 of their papers we have counts for
7 papers
Meta-Transfer Learning Powered Temporal Graph Networks for Cross-City Real Estate Appraisal
Weijia Zhang, Jindong Han, Hao Liu +3
Real estate appraisal is important for a variety of endeavors such as real estate deals, investment analysis, and real property taxation. Recently, deep learning has shown great pr…
AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting
Tengfei Lyu, Weijia Zhang, Jinliang Deng +1
Spatio-temporal forecasting is a critical component of various smart city applications, such as transportation optimization, energy management, and socio-economic analysis. Recentl…
Unleashing The Power of Pre-Trained Language Models for Irregularly Sampled Time Series
Weijia Zhang, Chenlong Yin, Hao Liu +1
Pre-trained Language Models (PLMs), such as ChatGPT, have significantly advanced the field of natural language processing. This progress has inspired a series of innovative studies…
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction
Wenzhao Jiang, Jindong Han, Hao Liu +3
Rapid urbanization has significantly escalated traffic congestion, underscoring the need for advanced congestion prediction services to bolster intelligent transportation systems.…
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Weijia Zhang, Jindong Han, Zhao Xu +4
The integration of machine learning techniques has become a cornerstone in the development of intelligent urban services, significantly contributing to the enhancement of urban eff…
LLMLight: Large Language Models as Traffic Signal Control Agents
Siqi Lai, Zhao Xu, Weijia Zhang +2
Traffic Signal Control (TSC) is a crucial component in urban traffic management, aiming to optimize road network efficiency and reduce congestion. Traditional TSC methods, primaril…
Chain-of-Choice Hierarchical Policy Learning for Conversational Recommendation
Wei Fan, Weijia Zhang, Weiqi Wang +2
Conversational Recommender Systems (CRS) illuminate user preferences via multi-round interactive dialogues, ultimately navigating towards precise and satisfactory recommendations.…