Dongsheng Li


2023

doi dblp
CL4CTR: A Contrastive Learning Framework for CTR Prediction
Fangye Wang | Yingxu Wang | Dongsheng Li | Hansu Gu | Tun Lu | Peng Zhang | Ning Gu
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023

2022

doi dblp
Enhancing CTR Prediction with Context-Aware Feature Representation Learning
Fangye Wang | Yingxu Wang | Dongsheng Li | Hansu Gu | Tun Lu | Peng Zhang | Ning Gu
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

doi dblp
Accurate and Explainable Recommendation via Review Rationalization
Sicheng Pan | Dongsheng Li | Hansu Gu | Tun Lu | Xufang Luo | Ning Gu
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

doi dblp
Cross-modal Ambiguity Learning for Multimodal Fake News Detection
Yixuan Chen | Dongsheng Li | Peng Zhang | Jie Sui | Qin Lv | Tun Lu | Li Shang
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

doi dblp
FIRE: Fast Incremental Recommendation with Graph Signal Processing
Jiafeng Xia | Dongsheng Li | Hansu Gu | Jiahao Liu | Tun Lu | Ning Gu
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

doi dblp
MINDSim: User Simulator for News Recommenders
Xufang Luo | Zheng Liu | Shitao Xiao | Xing Xie | Dongsheng Li
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

2021

doi dblp
CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
Yao Zhang | Yun Xiong | Dongsheng Li | Caihua Shan | Kan Ren | Yangyong Zhu
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

doi dblp
Incremental Graph Convolutional Network for Collaborative Filtering
Jiafeng Xia | Dongsheng Li | Hansu Gu | Tun Lu | Peng Zhang | Ning Gu
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

doi dblp
How Powerful is Graph Convolution for Recommendation?
Yifei Shen | Yongji Wu | Yao Zhang | Caihua Shan | Jun Zhang | Khaled B. Letaief | Dongsheng Li
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

2019

doi dblp
Synergizing Local and Global Models for Matrix Approximation
Chao Chen | Hao Zhang | Dongsheng Li | Junchi Yan | Xiaokang Yang
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019

2018

doi dblp
AdaError: An Adaptive Learning Rate Method for Matrix Approximation-based Collaborative Filtering
Dongsheng Li | Chao Chen | Qin Lv | Hansu Gu | Tun Lu | Li Shang | Ning Gu | Stephen M. Chu
Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018

2015

doi dblp
WEMAREC: Accurate and Scalable Recommendation through Weighted and Ensemble Matrix Approximation
Chao Chen | Dongsheng Li | Yingying Zhao | Qin Lv | Li Shang
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, Santiago, Chile, August 9-13, 2015

2011

doi dblp
YANA: an efficient privacy-preserving recommender system for online social communities
Dongsheng Li | Qin Lv | Li Shang | Ning Gu
Proceedings of the 20th ACM Conference on Information and Knowledge Management, CIKM 2011, Glasgow, United Kingdom, October 24-28, 2011