activity
20182026
most citedSimplify and Robustify Negative Sampling for Implicit Collaborative Filtering

60 citations · 91 across the 32 of their papers we have counts for

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11 papers · 1 filter

cs.AI2026

HVR-Met: A Hypothesis-Verification-Replanning Agentic System for Extreme Weather Diagnosis

Shuo Tang, Jiadong Zhang, Gengxian Zhou +11

While deep learning-based weather forecasting paradigms have made significant strides, addressing extreme weather diagnostics remains a formidable challenge. This gap exists primar…

cs.AI2025

MoveGPT: Scaling Mobility Foundation Models with Spatially-Aware Mixture of Experts

Chonghua Han, Yuan Yuan, Jingtao Ding +3

The success of foundation models in language has inspired a new wave of general-purpose models for human mobility. However, existing approaches struggle to scale effectively due to…

cs.AI2025

A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science

Jie Feng, Jinwei Zeng, Qingyue Long +15

Over the past year, the development of large language models (LLMs) has brought spatial intelligence into focus, with much attention on vision-based embodied intelligence. However,…

cs.AI2025

A Diffusive Data Augmentation Framework for Reconstruction of Complex Network Evolutionary History

En Xu, Can Rong, Jingtao Ding +1

The evolutionary processes of complex systems contain critical information regarding their functional characteristics. The generation time of edges provides insights into the histo…

cs.AI20241 cited

Generalizing Hyperedge Expansion for Hyper-relational Knowledge Graph Modeling

Yu Liu, Shu Yang, Jingtao Ding +2

By representing knowledge in a primary triple associated with additional attribute-value qualifiers, hyper-relational knowledge graph (HKG) that generalizes triple-based knowledge…

cs.AI20248 cited

TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics

Chang Liu, Jingtao Ding, Yiwen Song +1

Predicting the resilience of complex networks, which represents the ability to retain fundamental functionality amidst external perturbations or internal failures, plays a critical…