Shen, Xiaotong

1. Fused Multiple Graphical Lasso
   2012/09/10 by Sen Yang, Yang, Sen, Zhaosong Lu +7 · 2 citations
   Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
2. Multilayer tensor factorization with applications to recommender systems
   2017/11/05 by Xuan Bi, Annie Qu, Bi, Xuan +3 · 2 citations
   Mathematics · #Applications (stat.AP) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME) #Other Statistics (stat.OT) #Tensor decomposition and applications
3. Conditional Data Synthesis Augmentation
   2025/04/10 by Xinyu Tian, Xiaotong Shen, Tian, Xinyu +1 · 4 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Face recognition and analysis #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Methodology (stat.ME)
4. Distribution-Invariant Differential Privacy
   2021/11/08 by Xuan Bi, Bi, Xuan, Xiaotong Shen +1 · 1 citation
   Computer Science · Mathematics · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME) #Privacy-Preserving Technologies in Data #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
5. Boosting Data Analytics With Synthetic Volume Expansion
   2023/10/27 by Shen, Xiaotong, Liu, Yifei, Shen, Rex · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. A Spectral Approach for the Dynamic Bradley-Terry Model
   2023/07/31 by Tian, Xin-Yu, Shi, Jian, Shen, Xiaotong +1 · 1 citation
   #FOS: Computer and information sciences #Methodology (stat.ME)
7. Enhancing Accuracy in Generative Models via Knowledge Transfer
   2024/05/27 by Xinyu Tian, Xiaotong Shen, Tian, Xinyu +1 · 1 citation
   Decision Sciences · Computer Science · #Simulation Techniques and Applications #Neural Networks and Applications #Reinforcement Learning in Robotics