Yingxue Zhang

2024

Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation.

Chang Meng|Ziqi Zhao|Wei Guo|Yingxue Zhang|Haolun Wu|Chen Gao|Dong Li|Xiu Li|Ruiming Tang

ACM Transactions on Information Systems (TOIS) 2024 Volume 42 Issue 1

Enhancing Click-through Rate Prediction in Recommendation Domain with Search Query Representation.

Yuening Wang|Man Chen|Yaochen Hu|Wei Guo|Yingxue Zhang|Huifeng Guo|Yong Liu|Mark Coates

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024

2023

Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System.

Bowei He|Xu He|Renrui Zhang|Yingxue Zhang|Ruiming Tang|Chen Ma

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023

Dual-Process Graph Neural Network for Diversified Recommendation.

Yuanyi Ren|Hang Ni|Yingxue Zhang|Xi Wang|Guojie Song|Dong Li|Jianye Hao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023

Compressed Interaction Graph based Framework for Multi-behavior Recommendation.

Wei Guo|Chang Meng|Enming Yuan|Zhicheng He|Huifeng Guo|Yingxue Zhang|Bo Chen|Yaochen Hu|Ruiming Tang|Xiu Li|Rui Zhang

Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

Dynamically Expandable Graph Convolution for Streaming Recommendation.

Bowei He|Xu He|Yingxue Zhang|Ruiming Tang|Chen Ma

Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

2022

OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction.

Fuyuan Lyu|Xing Tang|Hong Zhu|Huifeng Guo|Yingxue Zhang|Ruiming Tang|Xue Liu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation.

Haolun Wu|Chen Ma|Yingxue Zhang|Xue Liu|Ruiming Tang|Mark Coates

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

EFLEC: Efficient Feature-LEakage Correction in GNN based Recommendation Systems.

Ishaan Kumar|Yaochen Hu|Yingxue Zhang

SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation.

Yankai Chen|Menglin Yang|Yingxue Zhang|Mengchen Zhao|Ziqiao Meng|Jianye Hao|Irwin King

WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022

Polarized Graph Neural Networks.

Zheng Fang|Lingjun Xu|Guojie Song|Qingqing Long|Yingxue Zhang

WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

2021

Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems.

Kian Ahrabian|Yishi Xu|Yingxue Zhang|Jiapeng Wu|Yuening Wang|Mark Coates

CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

Graph Representation Learning via Adversarial Variational Bayes.

Yunhe Li|Yaochen Hu|Yingxue Zhang

CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

Graph Structure Aware Contrastive Knowledge Distillation for Incremental Learning in Recommender Systems.

Yuening Wang|Yingxue Zhang|Mark Coates

CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion.

Jiapeng Wu|Yishi Xu|Yingxue Zhang|Chen Ma|Mark Coates|Jackie Chi Kit Cheung

SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

2020

GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems.

Yishi Xu|Yingxue Zhang|Wei Guo|Huifeng Guo|Ruiming Tang|Mark Coates

CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

Neighbor Interaction Aware Graph Convolution Networks for Recommendation.

Jianing Sun|Yingxue Zhang|Wei Guo|Huifeng Guo|Ruiming Tang|Xiuqiang He|Chen Ma|Mark Coates

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

2018

Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence.

Chen Ma|Yingxue Zhang|Qinglong Wang|Xue Liu

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018