Xinsheng Li

di Torino 2 PCP : Two-phase CP decomposition for billion-scale dense tensors /

K. Candan, Xinsheng Li, Shengyu Huang, 2022 .

nTD: Noise Adaptive Tensor Decomposition

K. Candan, Xinsheng Li, M. Sapino, 2018 .

R2DB: A System for Querying and Visualizing Weighted RDF Graphs

K. Selçuk Candan, Maria Luisa Sapino, Xinsheng Li, 2012, 2012 IEEE 28th International Conference on Data Engineering.

Reducing seed noise in personalized PageRank

K. Selçuk Candan, Maria Luisa Sapino, Xinsheng Li, 2016, Social Network Analysis and Mining.

“Can you really trust that seed?”: Reducing the impact of seed noise in personalized PageRank

K. Selçuk Candan, Maria Luisa Sapino, Xinsheng Li, 2014, 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014).

DataStorm: Coupled, Continuous Simulations for Complex Urban Environments

K. Selçuk Candan, Maria Luisa Sapino, Hans Walter Behrens, 2021, Trans. Data Sci..

Selego: robust variate selection for accurate time series forecasting

K. Selçuk Candan, Maria Luisa Sapino, Yash Garg, 2021, Data mining and knowledge discovery.

Noise Adaptive Tensor Train Decomposition for Low-Rank Embedding of Noisy Data

K. Selçuk Candan, Maria Luisa Sapino, Xinsheng Li, 2020, SISAP.

nTD: Noise-Profile Adaptive Tensor Decomposition

K. Selçuk Candan, Maria Luisa Sapino, Xinsheng Li, 2017, WWW.

Focusing Decomposition Accuracy by Personalizing Tensor Decomposition (PTD)

K. Selçuk Candan, Maria Luisa Sapino, Xinsheng Li, 2014, CIKM.