Kangyi Lin

According to our database, Kangyi Lin authored at least 14 papers between 2022 and 2025.

Collaborative distances:

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

2025

RecGPT: A Foundation Model for Sequential Recommendation.

Yangqin Jiang, Xubin Ren, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang

CoRR, June, 2025

RecLM: Recommendation Instruction Tuning.

Yangqin Jiang, Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Multi-Hop Multi-View Memory Transformer for Session-Based Recommendation.

Xingrui Zhuo, Shengsheng Qian, Jun Hu, Fuxin Dai, Kangyi Lin, Gongqing Wu

ACM Trans. Inf. Syst., November, 2024

GraphPro: Graph Pre-training and Prompt Learning for Recommendation.

Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang

Proceedings of the ACM on Web Conference 2024, 2024

DiffMM: Multi-Modal Diffusion Model for Recommendation.

Yangqin Jiang, Lianghao Xia, Wei Wei, Da Luo, Kangyi Lin, Chao Huang

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

2023

RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction.

Yanyan Shen, Lifan Zhao, Weiyu Cheng, Zibin Zhang, Wenwen Zhou, Kangyi Lin

ACM Trans. Inf. Syst., 2023

Graph Pre-training and Prompt Learning for Recommendation.

Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang

CoRR, 2023

Debiased Contrastive Learning for Sequential Recommendation.

Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang, Da Luo, Kangyi Lin

Proceedings of the ACM Web Conference 2023, 2023

Automated Self-Supervised Learning for Recommendation.

Lianghao Xia, Chao Huang, Chunzhen Huang, Kangyi Lin, Tao Yu, Ben Kao

Proceedings of the ACM Web Conference 2023, 2023

Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation.

Zhen Tian, Ting Bai, Zibin Zhang, Zhiyuan Xu, Kangyi Lin, Ji-Rong Wen, Wayne Xin Zhao

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction.

Erxue Min, Da Luo, Kangyi Lin, Chunzhen Huang, Yang Liu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Feature Staleness Aware Incremental Learning for CTR Prediction.

Zhikai Wang, Yanyan Shen, Zibin Zhang, Kangyi Lin

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Masked Transformer for Neighhourhood-aware Click-Through Rate Prediction.

Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Peilin Zhao, Junzhou Huang, Da Luo, Kangyi Lin, Sophia Ananiadou

CoRR, 2022

Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer.

Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Da Luo, Kangyi Lin, Junzhou Huang, Sophia Ananiadou, Peilin Zhao

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