activity
20232026
most citedFoundation Models for Time Series Analysis: A Tutorial and Survey

221 citations · 247 across the 15 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

LiveHouse-TS: An Open-world Living Benchmark for Time Series Foundation Models

Haomin Wen, Ziyu Zhou, Qingxiang Liu +2

Time Series Foundation Models (TSFMs) have recently emerged as a highly promising paradigm for cross-domain zero-shot forecasting. However, existing evaluation protocols predominan…

cs.AI2026

Think Before You Act: Intention-Guided Reasoning for LLM-Based Location Prediction

Qingxiang Liu, Anqi Liang, Zhuoyang Jiang +5

Predicting a user's next Point-of-Interest (POI) based on their historical check-in records is a fundamental task in location-based services. While recent methods incorporating lar…

cs.AI2025

Urban-R1: Reinforced MLLMs Mitigate Geospatial Biases for Urban General Intelligence

Qiongyan Wang, Xingchen Zou, Yutian Jiang +4

Rapid urbanization intensifies the demand for Urban General Intelligence (UGI), referring to AI systems that can understand and reason about complex urban environments. Recent stud…

cs.AI2025

MRGRP: Empowering Courier Route Prediction in Food Delivery Service with Multi-Relational Graph

Chang Liu, Huan Yan, Hongjie Sui +7

Instant food delivery has become one of the most popular web services worldwide due to its convenience in daily life. A fundamental challenge is accurately predicting courier route…

cs.AI2024

DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting

Hao Wu, Haomin Wen, Guibin Zhang +5

The ever-increasing sensor service, though opening a precious path and providing a deluge of earth system data for deep-learning-oriented earth science, sadly introduce a daunting…