Yi Zhang

According to our database, Yi Zhang authored at least 30 papers between 2021 and 2025.

Collaborative distances:

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

2025

Bi-Directional Transfer Graph Contrastive Learning for Social Recommendation.

Lei Sang, Mingyuan Liu, Yi Zhang, Yuee Huang, Yiwen Zhang

IEEE Trans. Big Data, June, 2025

Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction.

Honghao Li, Yiwen Zhang, Yi Zhang, Lei Sang, Jieming Zhu

CoRR, May, 2025

Intent-Guided Heterogeneous Graph Contrastive Learning for Recommendation.

Lei Sang, Yu Wang, Yi Zhang, Yiwen Zhang, Xindong Wu

IEEE Trans. Knowl. Data Eng., April, 2025

Quadratic Interest Network for Multimodal Click-Through Rate Prediction.

Honghao Li, Hanwei Li, Jing Zhang, Yi Zhang, Ziniu Yu, Lei Sang, Yiwen Zhang

CoRR, April, 2025

Revisiting Alignment and Uniformity for Recommendation via Discrimination and Reliable Assessment.

Xinzhe Jiang, Lei Sang, Shun Lian, Yi Zhang, Yiwen Zhang

IEEE Trans. Consumer Electron., February, 2025

Intent Alignment between Interaction and Language Spaces for Recommendation.

Yu Wang, Lei Sang, Yi Zhang, Yiwen Zhang

CoRR, February, 2025

Simplify to the Limit! Embedding-Less Graph Collaborative Filtering for Recommender Systems.

Yi Zhang, Yiwen Zhang, Lei Sang, Victor S. Sheng

ACM Trans. Inf. Syst., January, 2025

AdaGIN: Adaptive Graph Interaction Network for Click-Through Rate Prediction.

Lei Sang, Honghao Li, Yiwen Zhang, Yi Zhang, Yun Yang

ACM Trans. Inf. Syst., January, 2025

CETN: Contrast-enhanced Through Network for Click-Through Rate Prediction.

Honghao Li, Lei Sang, Yi Zhang, Xuyun Zhang, Yiwen Zhang

ACM Trans. Inf. Syst., January, 2025

Federated Contrastive Learning for Cross-Domain Recommendation.

Qingren Wang, Yuchuan Zhao, Yi Zhang, Yiwen Zhang, Shuiguang Deng, Yun Yang

IEEE Trans. Serv. Comput., 2025

Towards similar alignment and unique uniformity in collaborative filtering.

Lei Sang, Yu Zhang, Yi Zhang, Honghao Li, Yiwen Zhang

Expert Syst. Appl., 2025

Masked Heterogeneous Graph Attention Network for robust recommendation.

Lei Sang, Xingwang Li, Yu Wang, Yi Zhang, Shun Lian, Yiwen Zhang

Appl. Soft Comput., 2025

MixRec: Individual and Collective Mixing Empowers Data Augmentation for Recommender Systems.

Yi Zhang, Yiwen Zhang

Proceedings of the ACM on Web Conference 2025, 2025

Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative Filtering.

Yu Zhang, Yiwen Zhang, Yi Zhang, Lei Sang, Yun Yang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Intent Representation Learning with Large Language Model for Recommendation.

Yu Wang, Lei Sang, Yi Zhang, Yiwen Zhang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation.

Yi Zhang, Yiwen Zhang, Yu Wang, Tong Chen, Hongzhi Yin

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

2024

Multi-view denoising contrastive learning for bundle recommendation.

Lei Sang, Yang Hu, Yi Zhang, Yiwen Zhang

Appl. Intell., December, 2024

Dual Variational Graph Reconstruction Learning for Social Recommendation.

Yi Zhang, Yiwen Zhang, Yuchuan Zhao, Shuiguang Deng, Yun Yang

IEEE Trans. Knowl. Data Eng., November, 2024

NIE-GCN: Neighbor Item Embedding-Aware Graph Convolutional Network for Recommendation.

Yi Zhang, Yiwen Zhang, Dengcheng Yan, Qiang He, Yun Yang

IEEE Trans. Syst. Man Cybern. Syst., May, 2024

Ensemble Learning via Knowledge Transfer for CTR Prediction.

Honghao Li, Yiwen Zhang, Yi Zhang, Lei Sang

CoRR, 2024

High-Order Fusion Graph Contrastive Learning for Recommendation.

Yu Zhang, Lei Sang, Yi Zhang, Yiwen Zhang

CoRR, 2024

DCNv3: Towards Next Generation Deep Cross Network for CTR Prediction.

Honghao Li, Yiwen Zhang, Yi Zhang, Hanwei Li, Lei Sang

CoRR, 2024

Dual-domain Collaborative Denoising for Social Recommendation.

Wenjie Chen, Yi Zhang, Honghao Li, Lei Sang, Yiwen Zhang

CoRR, 2024

TF4CTR: Twin Focus Framework for CTR Prediction via Adaptive Sample Differentiation.

Honghao Li, Yiwen Zhang, Yi Zhang, Lei Sang, Yun Yang

CoRR, 2024

Generative-Contrastive Heterogeneous Graph Neural Network.

Yu Wang, Lei Sang, Yi Zhang, Yiwen Zhang

CoRR, 2024

Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering.

Yi Zhang, Lei Sang, Yiwen Zhang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

SimCEN: Simple Contrast-enhanced Network for CTR Prediction.

Honghao Li, Lei Sang, Yi Zhang, Yiwen Zhang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Revisiting Graph-based Recommender Systems from the Perspective of Variational Auto-Encoder.

Yi Zhang, Yiwen Zhang, Dengcheng Yan, Shuiguang Deng, Yun Yang

ACM Trans. Inf. Syst., 2023

CETN: Contrast-enhanced Through Network for CTR Prediction.

Honghao Li, Lei Sang, Yi Zhang, Xuyun Zhang, Yiwen Zhang

CoRR, 2023

2021

Model-Driven Open Ecological Cloud Enterprise Resource Planning.

Yi Zhang, Bo Hu, Yiwen Zhang

Int. J. Web Serv. Res., 2021