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Yixin Fang
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Journal Articles
- 2024
- [j12]Yixin Fang
, Kun Qian
, Yun Zhang
, Tong Shi
, Hai Yu:
Segmented Curved-Voxel Occupancy Descriptor for Dynamic-Aware LiDAR Odometry and Mapping. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - 2020
- [j11]Yuan Zhang
, Boyu Zhu, Yixin Fang, Suxin Guo, Aidong Zhang
, Sheng Zhong:
Secure Inter-Domain Forwarding Loop Test in Software Defined Networks. IEEE Trans. Dependable Secur. Comput. 17(1): 162-178 (2020) - 2018
- [j10]Yixin Fang, Jinfeng Xu, Lei Yang:
Online Bootstrap Confidence Intervals for the Stochastic Gradient Descent Estimator. J. Mach. Learn. Res. 19: 78:1-78:21 (2018) - 2016
- [j9]Yanhong Wang, Yixin Fang, Junhui Wang
:
Sparse optimal discriminant clustering. Stat. Comput. 26(3): 629-639 (2016) - [j8]Jingyu Hua, An Tang, Yixin Fang, Zhenyu Shen, Sheng Zhong:
Privacy-Preserving Utility Verification of the Data Published by Non-Interactive Differentially Private Mechanisms. IEEE Trans. Inf. Forensics Secur. 11(10): 2298-2311 (2016) - 2015
- [j7]Wei Zhong, Yixin Fang, Shi Jin, Kai-Kit Wong, Sheng Zhong, Zuping Qian:
Joint Resource Allocation for Device-to-Device Communications Underlaying Uplink MIMO Cellular Networks. IEEE J. Sel. Areas Commun. 33(1): 41-54 (2015) - [j6]Sheng Zhong, Haifan Yao, Yixin Fang:
MICOR: A Market for Incentive-Compatible Cooperative Relay in Cognitive Radio Networks. IEEE Trans. Veh. Technol. 64(11): 5350-5367 (2015) - 2014
- [j5]Yixin Fang
, Yang Feng
, Ming Yuan
:
Regularized principal components of heritability. Comput. Stat. 29(3): 455-465 (2014) - 2013
- [j4]Junhui Wang
, Yixin Fang:
Analysis of presence-only data via semi-supervised learning approaches. Comput. Stat. Data Anal. 59: 134-143 (2013) - [j3]Wei Sun, Junhui Wang, Yixin Fang:
Consistent selection of tuning parameters via variable selection stability. J. Mach. Learn. Res. 14(1): 3419-3440 (2013) - 2012
- [j2]Yixin Fang, Junhui Wang
:
Selection of the number of clusters via the bootstrap method. Comput. Stat. Data Anal. 56(3): 468-477 (2012) - 2011
- [j1]Yixin Fang, Junhui Wang
:
Penalized cluster analysis with applications to family data. Comput. Stat. Data Anal. 55(6): 2128-2136 (2011)
Conference and Workshop Papers
- 2022
- [c5]Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang:
Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach. KDD 2022: 2169-2179 - 2018
- [c4]Yixin Fang, Ruoming Jin, Wei Xiong, Xiaoning Qian, Dejing Dou, Hai Phan:
Recursive Structure Similarity: A Novel Algorithm for Graph Clustering. ICTAI 2018: 395-400 - [c3]Jia He, Maggie X. Cheng, Yixin Fang, Mariesa L. Crow:
A Machine Learning Approach for Line Outage Identification in Power Systems. LOD 2018: 482-493 - 2015
- [c2]Yuan Zhang, Yixin Fang, Sheng Zhong:
Incentive Mechanism Design for Smartphone Crowdsensing. BDCloud 2015: 287-292 - 2008
- [c1]Yixin Fang:
An Application of a Theorem of Johnstone and Forrester to Testing for Familial Aggregation. BMEI (2) 2008: 773-777
Informal and Other Publications
- 2022
- [i4]Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang:
Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach. CoRR abs/2207.11122 (2022) - 2021
- [i3]Yukun Cao, Yijia Tang, Ziyue Wei, ChengKun Jin, Zeyu Miao, Yixin Fang, Haizhou Du, Feifei Xu:
Isomer: Transfer enhanced Dual-Channel Heterogeneous Dependency Attention Network for Aspect-based Sentiment Classification. CoRR abs/2112.03011 (2021) - 2017
- [i2]Yixin Fang, Jinfeng Xu, Lei Yang:
On Scalable Inference with Stochastic Gradient Descent. CoRR abs/1707.00192 (2017) - 2016
- [i1]Binhuan Wang, Yilong Zhang, Wei Sun, Yixin Fang:
Sparse Convex Clustering. CoRR abs/1601.04586 (2016)
Coauthor Index
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