Lingling Yi

According to our database, Lingling Yi authored at least 18 papers between 2018 and 2024.

Collaborative distances:

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

2024

Graph Domain Adaptation: A Generative View.

Ruichu Cai, Fengzhu Wu, Zijian Li, Pengfei Wei, Lingling Yi, Kun Zhang

ACM Trans. Knowl. Discov. Data, April, 2024

Alleviating Video-length Effect for Micro-video Recommendation.

Yuhan Quan, Jingtao Ding, Chen Gao, Nian Li, Lingling Yi, Depeng Jin, Yong Li

ACM Trans. Inf. Syst., March, 2024

Exploiting dynamic social feedback for session-based recommendation.

Mingxin Gan, Chunhua Wang, Lingling Yi, Hao Gu

Inf. Process. Manag., March, 2024

Adaptive Coordinators and Prompts on Heterogeneous Graphs for Cross-Domain Recommendations.

Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tan, Yu Rong, Chengzhi Piao, Hong Cheng, Lingling Yi

CoRR, 2024

KELLMRec: Knowledge-Enhanced Large Language Models for Recommendation.

Weiqing Luo, Chonggang Song, Lingling Yi, Gong Cheng

CoRR, 2024

2023

Predicting the Popularity of Information on Social Platforms without Underlying Network Structure.

Leilei Wu, Lingling Yi, Xiao-Long Ren, Linyuan Lü

Entropy, June, 2023

Addressing Confounding Feature Issue for Causal Recommendation.

Xiangnan He, Yang Zhang, Fuli Feng, Chonggang Song, Lingling Yi, Guohui Ling, Yongdong Zhang

ACM Trans. Inf. Syst., 2023

Robust Preference-Guided Denoising for Graph based Social Recommendation.

Yuhan Quan, Jingtao Ding, Chen Gao, Lingling Yi, Depeng Jin, Yong Li

Proceedings of the ACM Web Conference 2023, 2023

Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering.

Yan Wen, Chen Gao, Lingling Yi, Liwei Qiu, Yaqing Wang, Yong Li

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

Dual Interests-Aligned Graph Auto-Encoders for Cross-domain Recommendation in WeChat.

Jiawei Zheng, Hao Gu, Chonggang Song, Dandan Lin, Lingling Yi, Chuan Chen

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Item-Provider Co-learning for Sequential Recommendation.

Lei Chen, Jingtao Ding, Min Yang, Chengming Li, Chonggang Song, Lingling Yi

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

DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias.

Yu Zheng, Chen Gao, Jingtao Ding, Lingling Yi, Depeng Jin, Yong Li, Meng Wang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

PlatoGL: Effective and Scalable Deep Graph Learning System for Graph-enhanced Real-Time Recommendation.

Dandan Lin, Shijie Sun, Jingtao Ding, Xuehan Ke, Hao Gu, Xing Huang, Chonggang Song, Xuri Zhang, Lingling Yi, Jie Wen, Chuan Chen

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2020

WeSeer: Visual Analysis for Better Information Cascade Prediction of WeChat Articles.

Quan Li, Ziming Wu, Lingling Yi, Kristanto Sean N, Huamin Qu, Xiaojuan Ma

IEEE Trans. Vis. Comput. Graph., 2020

SocialTrans: A Deep Sequential Model with Social Information for Web-Scale Recommendation Systems.

Qiaoan Chen, Hao Gu, Lingling Yi, Yishi Lin, Peng He, Chuan Chen, Yangqiu Song

CoRR, 2020

Friend Network as Gatekeeper: A Study of WeChat Users' Consumption of Friend-Curated Contents.

Quan Li, Zhenhui Peng, Haipeng Zeng, Qiaoan Chen, Lingling Yi, Ziming Wu, Xiaojuan Ma, Tianjian Chen

Proceedings of the Chinese CHI 2020: The eighth International Workshop of Chinese CHI, 2020

2018

Scalable Optimization for Embedding Highly-Dynamic and Recency-Sensitive Data.

Xumin Chen, Peng Cui, Lingling Yi, Shiqiang Yang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Scalable Multiplex Network Embedding.

Hongming Zhang, Liwei Qiu, Lingling Yi, Yangqiu Song

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018