Xiong, Liang

1. Deep Learning Recommendation Model for Personalization and Recommendation Systems
   2019/05/31 by Maxim Naumov, Naumov, Maxim, Dheevatsa Mudigere +45 · 100 citations
   Computer Science · #Recommender Systems and Techniques #Privacy-Preserving Technologies in Data #Advanced Graph Neural Networks
2. Nonparametric Divergence Estimation with Applications to Machine\n Learning on Distributions
   2012/02/14 by Barnabás Póczos, Liang Xiong, Poczos, Barnabas +3 · 10 citations
   Computer Science · #Bayesian Methods and Mixture Models #Anomaly Detection Techniques and Applications #Gaussian Processes and Bayesian Inference
3. The Architectural Implications of Facebook's DNN-based Personalized Recommendation
   2019/06/06 by Udit Gupta, Gupta, Udit, Carole-Jean Wu +27 · 7 citations
   Computer Science · #Caching and Content Delivery #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Recommender Systems and Techniques #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
4. Kernels on Sample Sets via Nonparametric Divergence Estimates
   2012/02/01 by Danica J. Sutherland, Sutherland, Danica J., Liang Xiong +5 · 2 citations
   Computer Science · #Advanced Image and Video Retrieval Techniques #FOS: Computer and information sciences #Face and Expression Recognition #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Efficient Dynamic Graph Representation Learning at Scale
   2021/12/14 by Chen, Xinshi, Zhu, Yan, Xu, Haowen +4 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
6. ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training
   2020/03/07 by Qinqing Zheng, Zheng, Qinqing, Bor-Yiing Su +17 · 3 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Recommender Systems and Techniques #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)