Li Zhang

According to our database, Li Zhang authored at least 15 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective.

Ning Zhang, Henry Kenlay, Li Zhang, Mihai Cucuringu, Xiaowen Dong

CoRR, June, 2025

Explainable CTR Prediction via LLM Reasoning.

Xiaohan Yu, Li Zhang, Chong Chen

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

2024

Break the ID-Language Barrier: An Adaption Framework for Sequential Recommendation.

Xiaohan Yu, Li Zhang, Xin Zhao, Yue Wang

CoRR, 2024

STEntConv: Predicting Disagreement with Stance Detection and a Signed Graph Convolutional Network.

Isabelle Lorge, Li Zhang, Xiaowen Dong, Janet B. Pierrehumbert

CoRR, 2024

RA-Rec: An Efficient ID Representation Alignment Framework for LLM-based Recommendation.

Xiaohan Yu, Li Zhang, Xin Zhao, Yue Wang, Zhongrui Ma

CoRR, 2024

Multi-stock Movements Classification: A Decoupled Graph Diffusion Neural Network Approach.

Zinuo You, Zijian Shi, Hongbo Bo, John Cartlidge, Li Zhang, Yan Ge

Proceedings of the Agents and Artificial Intelligence - 16th International Conference, 2024

DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction.

Zinuo You, Zijian Shi, Hongbo Bo, John Cartlidge, Li Zhang, Yan Ge

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

STEntConv: Predicting Disagreement between Reddit Users with Stance Detection and a Signed Graph Convolutional Network.

Isabelle Lorge, Li Zhang, Xiaowen Dong, Janet B. Pierrehumbert

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Trustworthiness-aware knowledge graph representation for recommendation.

Yan Ge, Jun Ma, Li Zhang, Xiang Li, Haiping Lu

Knowl. Based Syst., October, 2023

2022

Node-Feature Convolution for Graph Convolutional Networks.

Li Zhang, Heda Song, Nikolaos Aletras, Haiping Lu

Pattern Recognit., 2022

Knowledge-aware Neural Collective Matrix Factorization for Cross-domain Recommendation.

Li Zhang, Yan Ge, Jun Ma, Jianmo Ni, Haiping Lu

CoRR, 2022

A GNN-based Multi-task Learning Framework for Personalized Video Search.

Li Zhang, Lei Shi, Jiashu Zhao, Juan Yang, Tianshu Lyu, Dawei Yin, Haiping Lu

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2020

Unifying Homophily and Heterophily Network Transformation via Motifs.

Yan Ge, Jun Ma, Li Zhang, Haiping Lu

CoRR, 2020

Hop-Hop Relation-aware Graph Neural Networks.

Li Zhang, Yan Ge, Haiping Lu

CoRR, 2020

A Feature-Importance-Aware and Robust Aggregator for GCN.

Li Zhang, Haiping Lu

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020