Kangyi Lin - RankMe

23 papers A* 9A 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Stable and Adaptive Fusion for Multi-domain Multi-task Recommendation. AAAI Ke Fei, Da Luo, Kangyi Lin, Zibin Zhang, Jingjing Li
2025	J	`jnl`	Feature Staleness Aware Incremental Learning for CTR Prediction. CoRR Zhikai Wang, Yanyan Shen, Zibin Zhang, Kangyi Lin
2025	A*	`conf`	RecGPT: A Foundation Model for Sequential Recommendation. EMNLP Yangqin Jiang, Xubin Ren, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang
2025	J	`jnl`	RecGPT: A Foundation Model for Sequential Recommendation. CoRR Yangqin Jiang, Xubin Ren, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang
2025	—	`conf`	RecLM: Recommendation Instruction Tuning. ACL (1) Yangqin Jiang, Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang
2024	A*	`conf`	DiffMM: Multi-Modal Diffusion Model for Recommendation. ACM Multimedia Yangqin Jiang, Lianghao Xia, Wei Wei, Da Luo, Kangyi Lin, Chao Huang
2024	J	`jnl`	DiffMM: Multi-Modal Diffusion Model for Recommendation. CoRR Yangqin Jiang, Lianghao Xia, Wei Wei, Da Luo, Kangyi Lin, Chao Huang
2024	A*	`conf`	GraphPro: Graph Pre-training and Prompt Learning for Recommendation. WWW Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang
2024	J	`jnl`	Multi-Hop Multi-View Memory Transformer for Session-Based Recommendation. ACM Trans. Inf. Syst. Xingrui Zhuo, Shengsheng Qian, Jun Hu, Fuxin Dai, Kangyi Lin, Gongqing Wu
2024	J	`jnl`	RecLM: Recommendation Instruction Tuning. CoRR Yangqin Jiang, Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang
2023	A*	`conf`	Automated Self-Supervised Learning for Recommendation. WWW Lianghao Xia, Chao Huang, Chunzhen Huang, Kangyi Lin, Tao Yu, Ben Kao
2023	J	`jnl`	Automated Self-Supervised Learning for Recommendation. CoRR Lianghao Xia, Chao Huang, Chunzhen Huang, Kangyi Lin, Tao Yu, Ben Kao
2023	A*	`conf`	Debiased Contrastive Learning for Sequential Recommendation. WWW Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang, Da Luo, Kangyi Lin
2023	J	`jnl`	Debiased Contrastive Learning for Sequential Recommendation. CoRR Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang, Da Luo, Kangyi Lin
2023	A	`conf`	Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation. WSDM Zhen Tian, Ting Bai, Zibin Zhang, Zhiyuan Xu, Kangyi Lin, Ji-Rong Wen, Wayne Xin Zhao
2023	A*	`conf`	Feature Staleness Aware Incremental Learning for CTR Prediction. IJCAI Zhikai Wang, Yanyan Shen, Zibin Zhang, Kangyi Lin
2023	J	`jnl`	Graph Pre-training and Prompt Learning for Recommendation. CoRR Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang
2023	J	`jnl`	RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction. ACM Trans. Inf. Syst. Yanyan Shen, Lifan Zhao, Weiyu Cheng, Zibin Zhang, Wenwen Zhou, Kangyi Lin
2023	A*	`conf`	Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction. KDD Erxue Min, Da Luo, Kangyi Lin, Chunzhen Huang, Yang Liu
2022	J	`jnl`	Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation. CoRR Zhen Tian, Ting Bai, Zibin Zhang, Zhiyuan Xu, Kangyi Lin, Ji-Rong Wen, Wayne Xin Zhao
2022	J	`jnl`	Masked Transformer for Neighhourhood-aware Click-Through Rate Prediction. CoRR Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Peilin Zhao, Junzhou Huang, Da Luo, Kangyi Lin, Sophia Ananiadou
2022	A*	`conf`	Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer. SIGIR Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Da Luo, Kangyi Lin, Junzhou Huang, Sophia Ananiadou, Peilin Zhao
2022	J	`jnl`	RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in CTR Prediction. CoRR Yanyan Shen, Lifan Zhao, Weiyu Cheng, Zibin Zhang, Wenwen Zhou, Kangyi Lin