Xiaodong Lin

According to our database, Xiaodong Lin authored at least 38 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models.

Ruichen Wang, Zekang Chen, Chen Chen, Jian Ma, Haonan Lu, Xiaodong Lin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

VPiP: Values Packing in Paillier for Communication Efficient Oblivious Linear Computations.

Weibin Wu, Jun Wang, Yangpan Zhang, Zhe Liu, Lu Zhou, Xiaodong Lin

IEEE Trans. Inf. Forensics Secur., 2023

Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models.

Fobo Shi, Peijun Qing, Dong Yang, Nan Wang, Youbo Lei, Haonan Lu, Xiaodong Lin

CoRR, 2023

Towards Language-guided Interactive 3D Generation: LLMs as Layout Interpreter with Generative Feedback.

Yiqi Lin, Hao Wu, Ruichen Wang, Haonan Lu, Xiaodong Lin, Hui Xiong, Lin Wang

CoRR, 2023

Edit Everything: A Text-Guided Generative System for Images Editing.

Defeng Xie, Ruichen Wang, Jian Ma, Chen Chen, Haonan Lu, Dong Yang, Fobo Shi, Xiaodong Lin

CoRR, 2023

GlyphDraw: Learning to Draw Chinese Characters in Image Synthesis Models Coherently.

Jian Ma, Mingjun Zhao, Chen Chen, Ruichen Wang, Di Niu, Haonan Lu, Xiaodong Lin

CoRR, 2023

CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout.

Yiqi Lin, Haotian Bai, Sijia Li, Haonan Lu, Xiaodong Lin, Hui Xiong, Lin Wang

CoRR, 2023

Interactive Interior Design Recommendation via Coarse-to-fine Multimodal Reinforcement Learning.

He Zhang, Ying Sun, Weiyu Guo, Yafei Liu, Haonan Lu, Xiaodong Lin, Hui Xiong

Proceedings of the 31st ACM International Conference on Multimedia, 2023

CKDST: Comprehensively and Effectively Distill Knowledge from Machine Translation to End-to-End Speech Translation.

Yikun Lei, Zhengshan Xue, Xiaohu Zhao, Haoran Sun, Shaolin Zhu, Xiaodong Lin, Deyi Xiong

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

DensE: An enhanced non-commutative representation for knowledge graph embedding with adaptive semantic hierarchy.

Haonan Lu, Hailin Hu, Xiaodong Lin

Neurocomputing, 2022

GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs.

Dong Yang, Peijun Qing, Yang Li, Haonan Lu, Xiaodong Lin

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Learning to Walk with Dual Agents for Knowledge Graph Reasoning.

Denghui Zhang, Zixuan Yuan, Hao Liu, Xiaodong Lin, Hui Xiong

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Anomaly detection in dynamic attributed networks.

Ruizhi Zhou, Qin Zhang, Peng Zhang, Lingfeng Niu, Xiaodong Lin

Neural Comput. Appl., 2021

An outer-inner linearization method for non-convex and nondifferentiable composite regularization problems.

Minh Pham, Xiaodong Lin, Andrzej Ruszczynski, Yu Du

J. Glob. Optim., 2021

Selective linearization for multi-block statistical learning.

Yu Du, Xiaodong Lin, Minh Pham, Andrzej Ruszczynski

Eur. J. Oper. Res., 2021

2020

In-Bed Body Motion Detection and Classification System.

Musaab Alaziz, Zhenhua Jia, Richard E. Howard, Xiaodong Lin, Yanyong Zhang

ACM Trans. Sens. Networks, 2020

2017

A Selective Linearization Method For Multiblock Convex Optimization.

Yu Du, Xiaodong Lin, Andrzej Ruszczynski

SIAM J. Optim., 2017

Leakage of signal function with reused keys in RLWE key exchange.

Jintai Ding, Saed Alsayigh, R. V. Saraswathy, Scott R. Fluhrer, Xiaodong Lin

Proceedings of the IEEE International Conference on Communications, 2017

MotionTree: A Tree-Based In-Bed Body Motion Classification System Using Load-Cells.

Musaab Alaziz, Zhenhua Jia, Richard E. Howard, Xiaodong Lin, Yanyong Zhang

Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017

2014

Alternating linearization for structured regularization problems.

Xiaodong Lin, Minh Pham, Andrzej Ruszczynski

J. Mach. Learn. Res., 2014

2012

A covariance-free iterative algorithm for distributed principal component analysis on vertically partitioned data.

Yue-Fei Guo, Xiaodong Lin, Zhou Teng, Xiangyang Xue, Jianping Fan

Pattern Recognit., 2012

Improving RF-based device-free passive localization in cluttered indoor environments through probabilistic classification methods.

Chenren Xu, Bernhard Firner, Yanyong Zhang, Richard E. Howard, Jun Li, Xiaodong Lin

Proceedings of the 11th International Conference on Information Processing in Sensor Networks (co-located with CPS Week 2012), 2012

2011

A Spectral Graphical Model Approach for Learning Brain Connectivity Network of Children's Narrative Comprehension.

Xiaodong Lin, Xiangxiang Meng, Prasanna Karunanayaka, Scott K. Holland

Brain Connect., 2011

2010

Active Learning From Stream Data Using Optimal Weight Classifier Ensemble.

Xingquan Zhu, Peng Zhang, Xiaodong Lin, Yong Shi

IEEE Trans. Syst. Man Cybern. Part B, 2010

Privacy-preserving Maximum Likelihood Estimation for Distributed Data.

Xiaodong Lin, Alan F. Karr

J. Priv. Confidentiality, 2010

Reachability Analysis in Privacy-Preserving Perturbed Graphs.

Xiaoyun He, Jaideep Vaidya, Basit Shafiq, Nabil R. Adam, Xiaodong Lin

Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

2009

A distributed approach to enabling privacy-preserving model-based classifier training.

Hangzai Luo, Jianping Fan, Xiaodong Lin, Aoying Zhou, Elisa Bertino

Knowl. Inf. Syst., 2009

2007

Information Conversion, Effective Samples, and Parameter Size.

Xiaodong Lin, Jennifer Pittman, Bertrand S. Clarke

IEEE Trans. Inf. Theory, 2007

Secure, Privacy-Preserving Analysis of Distributed Databases.

Alan F. Karr, William J. Fulp, Francisco Vera, S. Stanley Young, Xiaodong Lin, Jerome P. Reiter

Technometrics, 2007

Active Learning from Data Streams.

Xingquan Zhu, Peng Zhang, Xiaodong Lin, Yong Shi

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006

Gene selection using support vector machines with non-convex penalty.

Hao Helen Zhang, Jeongyoun Ahn, Xiaodong Lin, Cheolwoo Park

Bioinform., 2006

2005

Privacy-preserving clustering with distributed EM mixture modeling.

Xiaodong Lin, Chris Clifton, Michael Y. Zhu

Knowl. Inf. Syst., 2005

Secure analysis of distributed chemical databases without data integration.

Alan F. Karr, Jun Feng, Xiaodong Lin, Ashish P. Sanil, S. Stanley Young, Jerome P. Reiter

J. Comput. Aided Mol. Des., 2005

2004

Learning a complex metabolomic dataset using random forests and support vector machines.

Young Truong, Xiaodong Lin, Chris Beecher

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Privacy preserving regression modelling via distributed computation.

Ashish P. Sanil, Alan F. Karr, Xiaodong Lin, Jerome P. Reiter

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Regression on Distributed Databases via Secure Multi-Party Computation.

Alan F. Karr, Xiaodong Lin, Ashish P. Sanil, Jerome P. Reiter

Proceedings of the 2004 Annual National Conference on Digital Government Research, 2004

2003

Semantic video classification by integrating flexible mixture model with adaptive EM algorithm.

Jianping Fan, Hangzai Luo, Xiaodong Lin

Proceedings of the 5th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2003

2002

Tools for Privacy Preserving Data Mining.

Chris Clifton, Murat Kantarcioglu, Jaideep Vaidya, Xiaodong Lin, Michael Y. Zhu

SIGKDD Explor., 2002