activity
20142026
most citedCollaborative Company Profiling: Insights from an Employee's Perspective

10 citations · 21 across the 7 of their papers we have counts for

collaborators

9 papers

cs.LG2026

HiTS-CL: A Continual Learning Framework for Long-Horizon Temporal Knowledge Graph Extrapolation

Yansong Liu, Rui Liu, Yuan Zuo +6

Extrapolative temporal knowledge graph reasoning (TKGR) predicts future facts from historical snapshots. Most existing methods train once on an early prefix of the timeline and the…

cs.LG2026

Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large Language Models

Fengzhi Li, Liang Zhang, Yuan Zuo +5

Graph-based tasks in the zero-shot setting remain a significant challenge due to data scarcity and the inability of traditional Graph Neural Networks (GNNs) to generalize to unseen…

cs.LG2025

UniGTE: Unified Graph-Text Encoding for Zero-Shot Generalization across Graph Tasks and Domains

Duo Wang, Yuan Zuo, Guangyue Lu +1

Generalizing to unseen graph tasks without task-specific supervision is challenging: conventional graph neural networks are typically tied to a fixed label space, while large langu…

cs.LG2025

Graph-R1: Incentivizing the Zero-Shot Graph Learning Capability in LLMs via Explicit Reasoning

Yicong Wu, Guangyue Lu, Yuan Zuo +2

Generalizing to unseen graph tasks without task-pecific supervision remains challenging. Graph Neural Networks (GNNs) are limited by fixed label spaces, while Large Language Models…

cs.LG2024★ 1 cited

LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings

Duo Wang, Yuan Zuo, Fengzhi Li +1

Zero-shot graph machine learning, especially with graph neural networks (GNNs), has garnered significant interest due to the challenge of scarce labeled data. While methods like se…

cs.CL2022★ 8 cited

Parameter-Efficient Tuning on Layer Normalization for Pre-trained Language Models

Wang Qi, Yu-Ping Ruan, Yuan Zuo +1

Conventional fine-tuning encounters increasing difficulties given the size of current Pre-trained Language Models, which makes parameter-efficient tuning become the focal point of…

cs.LG2021★ 1 cited

Multi-Aspect Temporal Network Embedding: A Mixture of Hawkes Process View

Yutian Chang, Guannan Liu, Yuan Zuo +1

Recent years have witnessed the tremendous research interests in network embedding. Extant works have taken the neighborhood formation as the critical information to reveal the inh…

cs.IR2017★ 10 cited

Collaborative Company Profiling: Insights from an Employee's Perspective

Hao Lin, Hengshu Zhu, Yuan Zuo +3

Company profiling is an analytical process to build an indepth understanding of company's fundamental characteristics. It serves as an effective way to gain vital information of th…

cs.CL2014★ 1 cited

Word Network Topic Model: A Simple but General Solution for Short and Imbalanced Texts

Yuan Zuo, Jichang Zhao, Ke Xu

The short text has been the prevalent format for information of Internet in recent decades, especially with the development of online social media, whose millions of users generate…