Suyun Zhao

According to our database, Suyun Zhao authored at least 65 papers between 2005 and 2024.

Collaborative distances:

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

2024

Fuzzy rough unlearning model for feature selection.

Yuxin Tang, Suyun Zhao, Hong Chen, Cuiping Li, Junhai Zhai, Qiangjun Zhou

Int. J. Approx. Reason., February, 2024

2023

Hadamard Encoding Based Frequent Itemset Mining under Local Differential Privacy.

Dan Zhao, Suyun Zhao, Hong Chen, Ruixuan Liu, Cui-Ping Li, Xiaoying Zhang

J. Comput. Sci. Technol., December, 2023

Granularity self-information based uncertainty measure for feature selection and robust classification.

Shuang An, Qijin Xiao, Changzhong Wang, Suyun Zhao

Fuzzy Sets Syst., October, 2023

Relative Fuzzy Rough Approximations for Feature Selection and Classification.

Shuang An, Enhui Zhao, Changzhong Wang, Ge Guo, Suyun Zhao, Piyu Li

IEEE Trans. Cybern., April, 2023

Contrastive Active Learning Under Class Distribution Mismatch.

Pan Du, Hui Chen, Suyun Zhao, Shuwen Chai, Hong Chen, Cuiping Li

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Inaccurate-Supervised Learning With Generative Adversarial Nets.

Yabin Zhang, Hairong Lian, Guang Yang, Suyun Zhao, Peng Ni, Hong Chen, Cuiping Li

IEEE Trans. Cybern., March, 2023

Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch.

Pan Du, Suyun Zhao, Zisen Sheng, Cuiping Li, Hong Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Superclass Learning with Representation Enhancement.

Zeyu Gan, Suyun Zhao, Jinlong Kang, Liyuan Shang, Hong Chen, Cuiping Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model.

Yixuan Liu, Suyun Zhao, Li Xiong, Yuhan Liu, Hong Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Domain generalization by class-aware negative sampling-based contrastive learning.

Mengwei Xie, Suyun Zhao, Hong Chen, Cuiping Li

AI Open, January, 2022

Active partial label learning based on adaptive sample selection.

Yan Li, Chang Liu, Suyun Zhao, Qiang Hua

Int. J. Mach. Learn. Cybern., 2022

Efficient protocols for heavy hitter identification with local differential privacy.

Dan Zhao, Suyun Zhao, Hong Chen, Ruixuan Liu, Cuiping Li, Wenjuan Liang

Frontiers Comput. Sci., 2022

Oracle-guided Contrastive Clustering.

Mengdie Wang, Liyuan Shang, Suyun Zhao, Yiming Wang, Hong Chen, Cuiping Li, Xizhao Wang

CoRR, 2022

FLDP: Flexible strategy for local differential privacy.

Dan Zhao, Suyun Zhao, Ruixuan Liu, Cuiping Li, Wenjuan Liang, Hong Chen

CoRR, 2022

Exploring Binary Classification Hidden within Partial Label Learning.

Hengheng Luo, Yabin Zhang, Suyun Zhao, Hong Chen, Cuiping Li

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Collecting Triangle Counts with Edge Relationship Local Differential Privacy.

Yuhan Liu, Suyun Zhao, Yixuan Liu, Dan Zhao, Hong Chen, Cuiping Li

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Fldp: Flexible Strategy For Local Differential Privacy.

Dan Zhao, Hong Chen, Suyun Zhao, Ruixuan Liu, Cuiping Li, Xiaoying Zhang

Proceedings of the IEEE International Conference on Acoustics, 2022

FDP-LDA: Inherent Privacy Amplification of Collapsed Gibbs Sampling via Group Subsampling.

Tao Huang, Hong Chen, Suyun Zhao

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

An Accelerator for Rule Induction in Fuzzy Rough Theory.

Suyun Zhao, Zhi-Gang Dai, Xizhao Wang, Peng Ni, Hengheng Luo, Hong Chen, Cuiping Li

IEEE Trans. Fuzzy Syst., 2021

Ensemble selection with joint spectral clustering and structural sparsity.

Zhenlei Wang, Suyun Zhao, Zheng Li, Hong Chen, Cuiping Li, Yufeng Shen

Pattern Recognit., 2021

Partial Label Learning via Conditional-Label-Aware Disambiguation.

Peng Ni, Suyun Zhao, Zhi-Gang Dai, Hong Chen, Cui-Ping Li

J. Comput. Sci. Technol., 2021

A relative uncertainty measure for fuzzy rough feature selection.

Shuang An, Jiaying Liu, Changzhong Wang, Suyun Zhao

Int. J. Approx. Reason., 2021

Contrastive Coding for Active Learning under Class Distribution Mismatch.

Pan Du, Suyun Zhao, Hui Chen, Shuwen Chai, Hong Chen, Cuiping Li

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Incremental feature selection based on fuzzy rough sets.

Peng Ni, Suyun Zhao, Xizhao Wang, Hong Chen, Cuiping Li, Eric C. C. Tsang

Inf. Sci., 2020

Discernibility matrix based incremental feature selection on fused decision tables.

Ye Liu, Lidi Zheng, Yeliang Xiu, Hong Yin, Suyun Zhao, Xizhao Wang, Hong Chen, Cuiping Li

Int. J. Approx. Reason., 2020

Partial Label Learning via Generative Adversarial Nets.

Yabin Zhang, Guang Yang, Suyun Zhao, Peng Ni, Hairong Lian, Hong Chen, Cuiping Li

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

PARA: A positive-region based attribute reduction accelerator.

Peng Ni, Suyun Zhao, Xizhao Wang, Hong Chen, Cuiping Li

Inf. Sci., 2019

An Accelerator of Feature Selection Applying a General Fuzzy Rough Model.

Peng Ni, Suyun Zhao, Hong Chen, Cuiping Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Privacy Preserving Machine Learning with Limited Information Leakage.

Wenyi Tang, Bo Qin, Suyun Zhao, Boning Zhao, Yunzhi Xue, Hong Chen

Proceedings of the Network and System Security - 13th International Conference, 2019

Local Differential Privacy with K-anonymous for Frequency Estimation.

Dan Zhao, Hong Chen, Suyun Zhao, Xiaoying Zhang, Cuiping Li, Ruixuan Liu

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

I-mRMR: Incremental Max-Relevance, and Min-Redundancy Feature Selection.

Yeliang Xiu, Suyun Zhao, Hong Chen, Cuiping Li

Proceedings of the Web and Big Data - Third International Joint Conference, 2019

2018

Fuzzy Rough Based Feature Selection by Using Random Sampling.

Wang Zhenlei, Suyun Zhao, Yangming Liu, Hong Chen, Cuiping Li, Sun Xiran

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Privacy Protection Method Based on Access Control.

Xin Qiao, Lixiaoyang Wang, Bo Qin, Hong Chen, Suyun Zhao

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017

Weights based ranked fuzzy rough reduction.

Eric C. C. Tsang, Fan Xingqi, Xuefeng Li, Suyun Zhao

Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017

Fuzzy Rough Incremental Attribute Reduction Applying Dependency Measures.

Yangming Liu, Suyun Zhao, Hong Chen, Cuiping Li, Yanmin Lu

Proceedings of the Web and Big Data - First International Joint Conference, 2017

2015

A Novel Approach to Building a Robust Fuzzy Rough Classifier.

Suyun Zhao, Hong Chen, Cuiping Li, Xiaoyong Du, Hui Sun

IEEE Trans. Fuzzy Syst., 2015

The comparative study of fuzzy rough reduction.

Eric C. C. Tsang, Suyun Zhao

Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

2014

Collusion-Aware Privacy-Preserving Range Query in Tiered Wireless Sensor Networks.

Xiaoying Zhang, Lei Dong, Hui Peng, Hong Chen, Suyun Zhao, Cuiping Li

Sensors, 2014

Randomly sampling based fuzzy rough reduction.

Yu Chen, Suyun Zhao, Hong Chen

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

A Fast Algorithm to Building a Fuzzy Rough Classifier.

Eric C. C. Tsang, Suyun Zhao

Proceedings of the Machine Learning and Cybernetics, 2014

2013

RFRR: Robust Fuzzy Rough Reduction.

Suyun Zhao, Hong Chen, Cuiping Li, Mengyao Zhai, Xiaoyong Du

IEEE Trans. Fuzzy Syst., 2013

Nested structure in parameterized rough reduction.

Suyun Zhao, Xizhao Wang, Degang Chen, Eric C. C. Tsang

Inf. Sci., 2013

FARP: Mining fuzzy association rules from a probabilistic quantitative database.

Bin Pei, Suyun Zhao, Hong Chen, Xuan Zhou, Dingjie Chen

Inf. Sci., 2013

Big data challenge: a data management perspective.

Jinchuan Chen, Yueguo Chen, Xiaoyong Du, Cuiping Li, Jiaheng Lu, Suyun Zhao, Xuan Zhou

Frontiers Comput. Sci., 2013

Distance-Based Feature Selection from Probabilistic Data.

Tingting Zhao, Bin Pei, Suyun Zhao, Hong Chen, Cuiping Li

Proceedings of the Web-Age Information Management - 14th International Conference, 2013

The Nested Structure in Fuzzy Rough Classifier.

Suyun Zhao, Hong Chen, Cuiping Li, Yu Chen

Proceedings of the IEEE International Conference on Systems, 2013

The topological structure in parameterized rough sets.

Eric C. C. Tsang, Suyun Zhao

Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

A fuzzy approach for mining association rules in a probabilistic database.

Bin Pei, Dingjie Chen, Suyun Zhao, Hong Chen

Proceedings of the Fifth International Conference on Digital Image Processing, 2013

Efficient Event Prewarning for Sensor Networks with Multi Microenvironments.

Yinglong Li, Hong Chen, Suyun Zhao, Shangfeng Mo

Proceedings of the Euro-Par 2013 Parallel Processing, 2013

2012

Sample Pair Selection for Attribute Reduction with Rough Set.

Degang Chen, Suyun Zhao, Lei Zhang, Yongping Yang, Xiao Zhang

IEEE Trans. Knowl. Data Eng., 2012

A Novel Algorithm for Finding Reducts With Fuzzy Rough Sets.

Degang Chen, Lei Zhang, Suyun Zhao, Qinghua Hu, Pengfei Zhu

IEEE Trans. Fuzzy Syst., 2012

Mining Fuzzy Association Rules from Heterogeneous Probabilistic Datasets.

Bin Pei, Tingting Zhao, Suyun Zhao, Hong Chen

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

2011

Fuzzy rough set based attribute reduction for information systems with fuzzy decisions.

Qiang He, Congxin Wu, Degang Chen, Suyun Zhao

Knowl. Based Syst., 2011

A property of reductions in Fuzzy Variable Precision Rough Set model.

Eric C. C. Tsang, Suyun Zhao, Cai-Li Zhou

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

2010

Decision Table Reduction in KDD: Fuzzy Rough Based Approach.

Eric C. C. Tsang, Suyun Zhao

Trans. Rough Sets, 2010

Building a Rule-Based Classifier—A Fuzzy-Rough Set Approach.

Suyun Zhao, Eric C. C. Tsang, Degang Chen, Xizhao Wang

IEEE Trans. Knowl. Data Eng., 2010

Local reduction of decision system with fuzzy rough sets.

Degang Chen, Suyun Zhao

Fuzzy Sets Syst., 2010

2009

The Model of Fuzzy Variable Precision Rough Sets.

Suyun Zhao, Eric C. C. Tsang, Degang Chen

IEEE Trans. Fuzzy Syst., 2009

2008

Hybridization of Fuzzy and Rough Sets: Present and Future.

Eric C. C. Tsang, Qingcai Chen, Suyun Zhao, Daniel S. Yeung, Xizhao Wang

Proceedings of the Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 2008

On fuzzy approximation operators in attribute reduction with fuzzy rough sets.

Suyun Zhao, Eric C. C. Tsang

Inf. Sci., 2008

2007

Learning fuzzy rules from fuzzy samples based on rough set technique.

Xizhao Wang, Eric C. C. Tsang, Suyun Zhao, Degang Chen, Daniel S. Yeung

Inf. Sci., 2007

An approach of attributes reduction based on fuzzy TL rough sets.

Degang Chen, Eric C. C. Tsang, Suyun Zhao

Proceedings of the IEEE International Conference on Systems, 2007

Attribute Reduction Based on Fuzzy Rough Sets.

Degang Chen, Xizhao Wang, Suyun Zhao

Proceedings of the Rough Sets and Intelligent Systems Paradigms, International Conference, 2007

2006

A Discussion of Attribute Reduction in Fuzzy Rough Sets Using Support Vector Machine.

Eric C. C. Tsang, Degang Chen, Suyun Zhao, Qiang He

Proceedings of the IEEE International Conference on Systems, 2006

2005

Learning from an Incomplete Information System with Continuous-Valued Attributes by a Rough Set Technique.

Eric C. C. Tsang, Suyun Zhao, Daniel S. Yeung, John W. T. Lee

Proceedings of the Advances in Machine Learning and Cybernetics, 2005