activity
20202026
most citedSpatial Heterophily Aware Graph Neural Networks

18 citations · 22 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AI2026

TS-RAG: Retrieval Augmented Generation for Time Series Forecasting

Yixiong Xiao, Congxi Xiao, Jingbo Zhou

While deep learning models, particularly transformer-based architectures, have shown impressive performance in time series forecasting, the application of retrieval-augmented gener…

cs.AI2026

Temporal Bridges for Spatial Resolution: Enhancing Climate Data Super-Resolution with Bidirectional Alignment

Yichen Zhang, Yixiong Xiao, Congxi Xiao +1

High-resolution climate data is crucial for meteorological predictions and for informing decision support across diverse domains. However, the acquisition of such high-resolution c…

cs.AI2026

OmegaUse: Building a General-Purpose GUI Agent for Autonomous Task Execution

Le Zhang, Yixiong Xiao, Xinjiang Lu +12

Graphical User Interface (GUI) agents show great potential for enabling foundation models to complete real-world tasks, revolutionizing human-computer interaction and improving hum…

cs.AI2026

Anti-Length Shift: Dynamic Outlier Truncation for Training Efficient Reasoning Models

Wei Wu, Liyi Chen, Congxi Xiao +7

Large reasoning models enhanced by reinforcement learning with verifiable rewards have achieved significant performance gains by extending their chain-of-thought. However, this par…

cs.LG2025★ 1 cited

TimeFound: A Foundation Model for Time Series Forecasting

Congxi Xiao, Jingbo Zhou, Yixiong Xiao +3

We present TimeFound, an encoder-decoder transformer-based time series foundation model for out-of-the-box zero-shot forecasting. To handle time series data from various domains, T…

cs.LG2023★ 18 cited

Spatial Heterophily Aware Graph Neural Networks

Congxi Xiao, Jingbo Zhou, Jizhou Huang +2

Graph Neural Networks (GNNs) have been broadly applied in many urban applications upon formulating a city as an urban graph whose nodes are urban objects like regions or points of…

cs.LG2022★ 2 cited

A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection

Congxi Xiao, Jingbo Zhou, Jizhou Huang +4

Urban villages (UVs) refer to the underdeveloped informal settlement falling behind the rapid urbanization in a city. Since there are high levels of social inequality and social ri…

cs.LG2020★ 1 cited

C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak

Congxi Xiao, Jingbo Zhou, Jizhou Huang +4

The novel coronavirus disease (COVID-19) has crushed daily routines and is still rampaging through the world. Existing solution for nonpharmaceutical interventions usually needs to…