Yixin Fang

According to our database, Yixin Fang authored at least 20 papers between 2008 and 2024.

Collaborative distances:

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

2024

Segmented Curved-Voxel Occupancy Descriptor for Dynamic-Aware LiDAR Odometry and Mapping.

Yixin Fang, Kun Qian, Yun Zhang, Tong Shi, Hai Yu

IEEE Trans. Geosci. Remote. Sens., 2024

2022

Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach.

Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Isomer: Transfer enhanced Dual-Channel Heterogeneous Dependency Attention Network for Aspect-based Sentiment Classification.

Yukun Cao, Yijia Tang, Ziyue Wei, ChengKun Jin, Zeyu Miao, Yixin Fang, Haizhou Du, Feifei Xu

CoRR, 2021

2020

Secure Inter-Domain Forwarding Loop Test in Software Defined Networks.

Yuan Zhang, Boyu Zhu, Yixin Fang, Suxin Guo, Aidong Zhang, Sheng Zhong

IEEE Trans. Dependable Secur. Comput., 2020

2018

Online Bootstrap Confidence Intervals for the Stochastic Gradient Descent Estimator.

Yixin Fang, Jinfeng Xu, Lei Yang

J. Mach. Learn. Res., 2018

A Machine Learning Approach for Line Outage Identification in Power Systems.

Jia He, Maggie X. Cheng, Yixin Fang, Mariesa L. Crow

Proceedings of the Machine Learning, Optimization, and Data Science, 2018

Recursive Structure Similarity: A Novel Algorithm for Graph Clustering.

Yixin Fang, Ruoming Jin, Wei Xiong, Xiaoning Qian, Dejing Dou, Hai Phan

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

2017

On Scalable Inference with Stochastic Gradient Descent.

Yixin Fang, Jinfeng Xu, Lei Yang

CoRR, 2017

2016

Privacy-Preserving Utility Verification of the Data Published by Non-Interactive Differentially Private Mechanisms.

Jingyu Hua, An Tang, Yixin Fang, Zhenyu Shen, Sheng Zhong

IEEE Trans. Inf. Forensics Secur., 2016

Sparse optimal discriminant clustering.

Yanhong Wang, Yixin Fang, Junhui Wang

Stat. Comput., 2016

Sparse Convex Clustering.

Binhuan Wang, Yilong Zhang, Wei Sun, Yixin Fang

CoRR, 2016

2015

MICOR: A Market for Incentive-Compatible Cooperative Relay in Cognitive Radio Networks.

Sheng Zhong, Haifan Yao, Yixin Fang

IEEE Trans. Veh. Technol., 2015

Joint Resource Allocation for Device-to-Device Communications Underlaying Uplink MIMO Cellular Networks.

Wei Zhong, Yixin Fang, Shi Jin, Kai-Kit Wong, Sheng Zhong, Zuping Qian

IEEE J. Sel. Areas Commun., 2015

Incentive Mechanism Design for Smartphone Crowdsensing.

Yuan Zhang, Yixin Fang, Sheng Zhong

Proceedings of the Fifth IEEE International Conference on Big Data and Cloud Computing, 2015

2014

Regularized principal components of heritability.

Yixin Fang, Yang Feng, Ming Yuan

Comput. Stat., 2014

2013

Consistent selection of tuning parameters via variable selection stability.

Wei Sun, Junhui Wang, Yixin Fang

J. Mach. Learn. Res., 2013

Analysis of presence-only data via semi-supervised learning approaches.

Junhui Wang, Yixin Fang

Comput. Stat. Data Anal., 2013

2012

Selection of the number of clusters via the bootstrap method.

Yixin Fang, Junhui Wang

Comput. Stat. Data Anal., 2012

2011

Penalized cluster analysis with applications to family data.

Yixin Fang, Junhui Wang

Comput. Stat. Data Anal., 2011

2008

An Application of a Theorem of Johnstone and Forrester to Testing for Familial Aggregation.

Yixin Fang

Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008