activity
20242026
most citedJointly Learning Representations for Map Entities via Heterogeneous Graph Contrastive Learning

2 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Dynamic Positional Attention Modulation for Parameter-Efficient Fine-Tuning of Large Language Models

Dayan Pan, Jingyuan Wang, Xie Yu

Parameter-efficient fine-tuning (PEFT) has become a standard approach for adapting large language models to downstream tasks. However, most existing PEFT methods rely on uniform an…

cs.LG2026

Neuralized Multi-Wavelet Decomposition for Time Series Classification and Forecasting

Xiaohan Jiang, Jingyuan Wang, Jiahao Ji +3

Time series analysis is fundamental in domains such as finance, healthcare, and meteorology. Real-world time series often exhibit multiscale characteristics shaped by diverse laten…

cs.AI2026

CityPlanner: A Sandbox Agent for Executable Urban Planning

Wentao Zhang, Jingyuan Wang, Zetong Zhou +2

Urban planning is a real-world spatial optimization problem that requires selecting feasible actions from large candidate spaces under practical objectives such as cost and service…

cs.AI2025★ 2 cited

Contextual Attention Modulation: Towards Efficient Multi-Task Adaptation in Large Language Models

Dayan Pan, Zhaoyang Fu, Jingyuan Wang +3

Large Language Models (LLMs) possess remarkable generalization capabilities but struggle with multi-task adaptation, particularly in balancing knowledge retention with task-specifi…

cs.LG2024★ 2 cited

Jointly Learning Representations for Map Entities via Heterogeneous Graph Contrastive Learning

Jiawei Jiang, Yifan Yang, Jingyuan Wang +1

The electronic map plays a crucial role in geographic information systems, serving various urban managerial scenarios and daily life services. Developing effective Map Entity Repre…