Xiaodong Lin

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 10

Top Topics

Semi Definite Programming

Statistical Learning

Motion Detection

Diffusion Models

Top Venues

ACM Trans. Sens. Networks

Publications

Ruichen Wang, Zekang Chen, Chen Chen, Jian Ma, Haonan Lu, Xiaodong Lin
Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models. AAAI (2024)
Weibin Wu, Jun Wang, Yangpan Zhang, Zhe Liu, Lu Zhou, Xiaodong Lin
VPiP: Values Packing in Paillier for Communication Efficient Oblivious Linear Computations. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Dong Yang, Peijun Qing, Yang Li, Haonan Lu, Xiaodong Lin
GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs. EMNLP (2022)
Dong Yang, Peijun Qing, Yang Li, Haonan Lu, Xiaodong Lin
GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs. CoRR (2022)
Ruizhi Zhou, Qin Zhang, Peng Zhang, Lingfeng Niu, Xiaodong Lin
Anomaly detection in dynamic attributed networks. Neural Comput. Appl. 33 (6) (2021)
Minh Pham, Xiaodong Lin, Andrzej Ruszczynski, Yu Du
An outer-inner linearization method for non-convex and nondifferentiable composite regularization problems. J. Glob. Optim. 81 (1) (2021)
Yu Du, Xiaodong Lin, Minh Pham, Andrzej Ruszczynski
Selective linearization for multi-block statistical learning. Eur. J. Oper. Res. 293 (1) (2021)
Musaab Alaziz, Zhenhua Jia, Richard E. Howard, Xiaodong Lin, Yanyong Zhang
In-Bed Body Motion Detection and Classification System. ACM Trans. Sens. Networks 16 (2) (2020)
Yu Du, Xiaodong Lin, Andrzej Ruszczynski
A Selective Linearization Method For Multiblock Convex Optimization. SIAM J. Optim. 27 (2) (2017)
Musaab Alaziz, Zhenhua Jia, Richard E. Howard, Xiaodong Lin, Yanyong Zhang
MotionTree: A Tree-Based In-Bed Body Motion Classification System Using Load-Cells. CHASE (2017)
Xiaodong Lin, Minh Pham, Andrzej Ruszczynski
Alternating linearization for structured regularization problems. J. Mach. Learn. Res. 15 (1) (2014)
Chenren Xu, Bernhard Firner, Yanyong Zhang, Richard E. Howard, Jun Li, Xiaodong Lin
Improving RF-based device-free passive localization in cluttered indoor environments through probabilistic classification methods. IPSN (2012)
Yue-Fei Guo, Xiaodong Lin, Zhou Teng, Xiangyang Xue, Jianping Fan
A covariance-free iterative algorithm for distributed principal component analysis on vertically partitioned data. Pattern Recognit. 45 (3) (2012)
Xiaodong Lin, Xiangxiang Meng, Prasanna Karunanayaka, Scott K. Holland
A Spectral Graphical Model Approach for Learning Brain Connectivity Network of Children's Narrative Comprehension. Brain Connect. 1 (5) (2011)
Xingquan Zhu, Peng Zhang, Xiaodong Lin, Yong Shi
Active Learning From Stream Data Using Optimal Weight Classifier Ensemble. IEEE Trans. Syst. Man Cybern. Part B 40 (6) (2010)
Xiaodong Lin, Alan F. Karr
Privacy-preserving Maximum Likelihood Estimation for Distributed Data. J. Priv. Confidentiality 1 (2) (2010)
Xiaoyun He, Jaideep Vaidya, Basit Shafiq, Nabil R. Adam, Xiaodong Lin
Reachability Analysis in Privacy-Preserving Perturbed Graphs. Web Intelligence (2010)
Hangzai Luo, Jianping Fan, Xiaodong Lin, Aoying Zhou, Elisa Bertino
A distributed approach to enabling privacy-preserving model-based classifier training. Knowl. Inf. Syst. 20 (2) (2009)
Alan F. Karr, William J. Fulp, Francisco Vera, S. Stanley Young, Xiaodong Lin, Jerome P. Reiter
Secure, Privacy-Preserving Analysis of Distributed Databases. Technometrics 49 (3) (2007)
Xingquan Zhu, Peng Zhang, Xiaodong Lin, Yong Shi
Active Learning from Data Streams. ICDM (2007)
Xiaodong Lin, Jennifer Pittman, Bertrand S. Clarke
Information Conversion, Effective Samples, and Parameter Size. IEEE Trans. Inf. Theory 53 (12) (2007)
Hao Helen Zhang, Jeongyoun Ahn, Xiaodong Lin, Cheolwoo Park
Gene selection using support vector machines with non-convex penalty. Bioinform. 22 (1) (2006)
Alan F. Karr, Jun Feng, Xiaodong Lin, Ashish P. Sanil, S. Stanley Young, Jerome P. Reiter
Secure analysis of distributed chemical databases without data integration. J. Comput. Aided Mol. Des. 19 (9-10) (2005)
Xiaodong Lin, Chris Clifton, Michael Y. Zhu
Privacy-preserving clustering with distributed EM mixture modeling. Knowl. Inf. Syst. 8 (1) (2005)
Ashish P. Sanil, Alan F. Karr, Xiaodong Lin, Jerome P. Reiter
Privacy preserving regression modelling via distributed computation. KDD (2004)
Alan F. Karr, Xiaodong Lin, Ashish P. Sanil, Jerome P. Reiter
Regression on Distributed Databases via Secure Multi-Party Computation. DG.O (2004)
Young Truong, Xiaodong Lin, Chris Beecher
Learning a complex metabolomic dataset using random forests and support vector machines. KDD (2004)
Jianping Fan, Hangzai Luo, Xiaodong Lin
Semantic video classification by integrating flexible mixture model with adaptive EM algorithm. Multimedia Information Retrieval (2003)
Chris Clifton, Murat Kantarcioglu, Jaideep Vaidya, Xiaodong Lin, Michael Y. Zhu
Tools for Privacy Preserving Data Mining. SIGKDD Explor. 4 (2) (2002)