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 (ICMLC, 2005)

A Discussion of Attribute Reduction in Fuzzy Rough Sets Using Support Vector Machine. - Eric C. C. Tsang; Degang Chen 002; Suyun Zhao; Qiang He 003 (SMC, 2006)

Attribute Reduction Based on Fuzzy Rough Sets. - Degang Chen 002; Xizhao Wang; Suyun Zhao (RSEISP, 2007)

An approach of attributes reduction based on fuzzy TL rough sets. - Degang Chen 002; Eric C. C. Tsang; Suyun Zhao (SMC, 2007)

Learning fuzzy rules from fuzzy samples based on rough set technique. - Xizhao Wang; Eric C. C. Tsang; Suyun Zhao; Degang Chen 002; Daniel S. Yeung (Inf. Sci., 2007)

On fuzzy approximation operators in attribute reduction with fuzzy rough sets. - Suyun Zhao; Eric C. C. Tsang (Inf. Sci., 2008)

Hybridization of Fuzzy and Rough Sets: Present and Future. - Eric C. C. Tsang; Qingcai Chen; Suyun Zhao; Daniel S. Yeung; Xizhao Wang (Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 2008)

The Model of Fuzzy Variable Precision Rough Sets. - Suyun Zhao; Eric C. C. Tsang; Degang Chen 002 (IEEE Trans. Fuzzy Syst., 2009)

Local reduction of decision system with fuzzy rough sets. - Degang Chen 002; Suyun Zhao (Fuzzy Sets Syst., 2010)

Building a Rule-Based Classifier—A Fuzzy-Rough Set Approach. - Suyun Zhao; Eric C. C. Tsang; Degang Chen 002; Xizhao Wang (IEEE Trans. Knowl. Data Eng., 2010)

Decision Table Reduction in KDD: Fuzzy Rough Based Approach. - Eric C. C. Tsang; Suyun Zhao (Trans. Rough Sets, 2010)

A property of reductions in Fuzzy Variable Precision Rough Set model. - Eric C. C. Tsang; Suyun Zhao; Cai-Li Zhou (ICMLC, 2011)

Fuzzy rough set based attribute reduction for information systems with fuzzy decisions. - Qiang He 003; Congxin Wu; Degang Chen 002; Suyun Zhao (Knowl. Based Syst., 2011)

Mining Fuzzy Association Rules from Heterogeneous Probabilistic Datasets. - Bin Pei; Tingting Zhao; Suyun Zhao; Hong Chen 001 (ICTAI, 2012)

A Novel Algorithm for Finding Reducts With Fuzzy Rough Sets. - Degang Chen 002; Lei Zhang 006; Suyun Zhao; Qinghua Hu; Pengfei Zhu 001 (IEEE Trans. Fuzzy Syst., 2012)

Sample Pair Selection for Attribute Reduction with Rough Set. - Degang Chen 002; Suyun Zhao; Lei Zhang 006; Yongping Yang; Xiao Zhang 012 (IEEE Trans. Knowl. Data Eng., 2012)

Efficient Event Prewarning for Sensor Networks with Multi Microenvironments. - Yinglong Li; Hong Chen 001; Suyun Zhao; Shangfeng Mo (Euro-Par, 2013)

A fuzzy approach for mining association rules in a probabilistic database. - Bin Pei; Dingjie Chen; Suyun Zhao; Hong Chen 001 (ICDIP, 2013)

The topological structure in parameterized rough sets. - Eric C. C. Tsang; Suyun Zhao (ICMLC, 2013)

The Nested Structure in Fuzzy Rough Classifier. - Suyun Zhao; Hong Chen 001; Cuiping Li 001; Yu Chen (SMC, 2013)

Distance-Based Feature Selection from Probabilistic Data. - Tingting Zhao; Bin Pei; Suyun Zhao; Hong Chen 001; Cuiping Li 001 (WAIM, 2013)

Big data challenge: a data management perspective. - Jinchuan Chen; Yueguo Chen; Xiaoyong Du 001; Cuiping Li 001; Jiaheng Lu; Suyun Zhao; Xuan Zhou 001 (Frontiers Comput. Sci., 2013)

FARP: Mining fuzzy association rules from a probabilistic quantitative database. - Bin Pei; Suyun Zhao; Hong Chen 001; Xuan Zhou 001; Dingjie Chen (Inf. Sci., 2013)

Nested structure in parameterized rough reduction. - Suyun Zhao; Xizhao Wang; Degang Chen 002; Eric C. C. Tsang (Inf. Sci., 2013)

RFRR: Robust Fuzzy Rough Reduction. - Suyun Zhao; Hong Chen 001; Cuiping Li 001; Mengyao Zhai; Xiaoyong Du 001 (IEEE Trans. Fuzzy Syst., 2013)

A Fast Algorithm to Building a Fuzzy Rough Classifier. - Eric C. C. Tsang; Suyun Zhao (ICMLC (CCIS volume), 2014)

Randomly sampling based fuzzy rough reduction. - Yu Chen; Suyun Zhao; Hong Chen 001 (SMC, 2014)

Collusion-Aware Privacy-Preserving Range Query in Tiered Wireless Sensor Networks. - Xiaoying Zhang; Lei Dong; Hui Peng 002; Hong Chen 001; Suyun Zhao; Cuiping Li 001 (Sensors, 2014)

The comparative study of fuzzy rough reduction. - Eric C. C. Tsang; Suyun Zhao (ICMLC, 2015)

A Novel Approach to Building a Robust Fuzzy Rough Classifier. - Suyun Zhao; Hong Chen 001; Cuiping Li 001; Xiaoyong Du 001; Hui Sun (IEEE Trans. Fuzzy Syst., 2015)

Random analysis of statistical rough set. - Eric C. C. Tsang; Suyun Zhao (ICMLC, 2016)

Fuzzy Rough Incremental Attribute Reduction Applying Dependency Measures. - Yangming Liu; Suyun Zhao; Hong Chen 001; Cuiping Li 001; Yanmin Lu (APWeb/WAIM (1), 2017)

Weights based ranked fuzzy rough reduction. - Eric C. C. Tsang; Fan Xingqi; Xuefeng Li; Suyun Zhao (ICMLC, 2017)

Privacy Protection Method Based on Access Control. - Xin Qiao; Lixiaoyang Wang; Bo Qin; Hong Chen 001; Suyun Zhao (APSIPA, 2018)

Fuzzy Rough Based Feature Selection by Using Random Sampling. - Zhenlei Wang; Suyun Zhao; Yangming Liu; Hong Chen 001; Cuiping Li 001; Sun Xiran (PRICAI, 2018)

I-mRMR: Incremental Max-Relevance, and Min-Redundancy Feature Selection. - Yeliang Xiu; Suyun Zhao; Hong Chen 001; Cuiping Li 001 (APWeb/WAIM (2), 2019)

Local Differential Privacy with K-anonymous for Frequency Estimation. - Dan Zhao 009; Hong Chen 001; Suyun Zhao; Xiaoying Zhang; Cuiping Li 001; Ruixuan Liu (IEEE BigData, 2019)

Privacy Preserving Machine Learning with Limited Information Leakage. - Wenyi Tang; Bo Qin; Suyun Zhao; Boning Zhao; Yunzhi Xue; Hong Chen 001 (NSS, 2019)

An Accelerator of Feature Selection Applying a General Fuzzy Rough Model. - Peng Ni; Suyun Zhao; Hong Chen 001; Cuiping Li 001 (PAKDD (2), 2019)

PARA: A positive-region based attribute reduction accelerator. - Peng Ni; Suyun Zhao; Xizhao Wang; Hong Chen 001; Cuiping Li 001 (Inf. Sci., 2019)

Partial Label Learning via Generative Adversarial Nets. - Yabin Zhang 005; Guang Yang 040; Suyun Zhao; Peng Ni; Hairong Lian; Hong Chen 001; Cuiping Li 001 (ECAI, 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 001; Cuiping Li 001 (Int. J. Approx. Reason., 2020)

Incremental feature selection based on fuzzy rough sets. - Peng Ni; Suyun Zhao; Xizhao Wang; Hong Chen 001; Cuiping Li 001; Eric C. C. Tsang (Inf. Sci., 2020)

Contrastive Coding for Active Learning under Class Distribution Mismatch. - Pan Du 002; Suyun Zhao; Hui Chen; Shuwen Chai; Hong Chen 001; Cuiping Li 001 (ICCV, 2021)

A relative uncertainty measure for fuzzy rough feature selection. - Shuang An; Jiaying Liu 012; Changzhong Wang; Suyun Zhao (Int. J. Approx. Reason., 2021)

Partial Label Learning via Conditional-Label-Aware Disambiguation. - Peng Ni; Suyun Zhao; Zhi-Gang Dai; Hong Chen 001; Cui-Ping Li 001 (J. Comput. Sci. Technol., 2021)

Ensemble selection with joint spectral clustering and structural sparsity. - Zhenlei Wang; Suyun Zhao; Zheng Li; Hong Chen 001; Cuiping Li 001; Yufeng Shen (Pattern Recognit., 2021)

An Accelerator for Rule Induction in Fuzzy Rough Theory. - Suyun Zhao; Zhi-Gang Dai; Xizhao Wang; Peng Ni; Hengheng Luo; Hong Chen 001; Cuiping Li 001 (IEEE Trans. Fuzzy Syst., 2021)

FDP-LDA: Inherent Privacy Amplification of Collapsed Gibbs Sampling via Group Subsampling. - Tao Huang; Hong Chen 001; Suyun Zhao (APWeb/WAIM (3), 2022)

Fldp: Flexible Strategy For Local Differential Privacy. - Dan Zhao 009; Hong Chen 001; Suyun Zhao; Ruixuan Liu; Cuiping Li 001; Xiaoying Zhang (ICASSP, 2022)

Collecting Triangle Counts with Edge Relationship Local Differential Privacy. - Yuhan Liu; Suyun Zhao; Yixuan Liu 002; Dan Zhao 009; Hong Chen 001; Cuiping Li 001 (ICDE, 2022)

Exploring Binary Classification Hidden within Partial Label Learning. - Hengheng Luo; Yabin Zhang 005; Suyun Zhao; Hong Chen 001; Cuiping Li 001 (IJCAI, 2022)

FLDP: Flexible strategy for local differential privacy. - Dan Zhao 009; Suyun Zhao; Ruixuan Liu; Cuiping Li 001; Wenjuan Liang; Hong Chen 001 (CoRR, 2022)

Oracle-guided Contrastive Clustering. - Mengdie Wang; Liyuan Shang; Suyun Zhao; Yiming Wang; Hong Chen 001; Cuiping Li 001; Xizhao Wang (CoRR, 2022)

Efficient protocols for heavy hitter identification with local differential privacy. - Dan Zhao 009; Suyun Zhao; Hong Chen 001; Ruixuan Liu; Cuiping Li 001; Wenjuan Liang (Frontiers Comput. Sci., 2022)

Active partial label learning based on adaptive sample selection. - Yan Li 109; Chang Liu; Suyun Zhao; Qiang Hua (Int. J. Mach. Learn. Cybern., 2022)

Domain generalization by class-aware negative sampling-based contrastive learning. - Mengwei Xie; Suyun Zhao; Hong Chen 001; Cuiping Li 001 (AI Open, 2022)

Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model. - Yixuan Liu 002; Suyun Zhao; Li Xiong 001; Yuhan Liu; Hong Chen 001 (AAAI, 2023)

Superclass Learning with Representation Enhancement. - Zeyu Gan; Suyun Zhao; Jinlong Kang; Liyuan Shang; Hong Chen 001; Cuiping Li 001 (CVPR, 2023)

Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch. - Pan Du 002; Suyun Zhao; Zisen Sheng; Cuiping Li 001; Hong Chen 001 (ICCV, 2023)

Inaccurate-Supervised Learning With Generative Adversarial Nets. - Yabin Zhang 005; Hairong Lian; Guang Yang 040; Suyun Zhao; Peng Ni; Hong Chen 001; Cuiping Li 001 (IEEE Trans. Cybern., 2023)

Contrastive Active Learning Under Class Distribution Mismatch. - Pan Du 002; Hui Chen; Suyun Zhao; Shuwen Chai; Hong Chen 001; Cuiping Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Relative Fuzzy Rough Approximations for Feature Selection and Classification. - Shuang An; Enhui Zhao; Changzhong Wang; Ge Guo 001; Suyun Zhao; Piyu Li (IEEE Trans. Cybern., 2023)

Granularity self-information based uncertainty measure for feature selection and robust classification. - Shuang An; Qijin Xiao; Changzhong Wang; Suyun Zhao (Fuzzy Sets Syst., 2023)

Hadamard Encoding Based Frequent Itemset Mining under Local Differential Privacy. - Dan Zhao 009; Suyun Zhao; Hong Chen 001; Ruixuan Liu; Cui-Ping Li 001; Xiaoying Zhang (J. Comput. Sci. Technol., 2023)

Fuzzy rough unlearning model for feature selection. - Yuxin Tang; Suyun Zhao; Hong Chen 001; Cuiping Li 001; Junhai Zhai; Qiangjun Zhou (Int. J. Approx. Reason., 2024)

Personalized Clustering via Targeted Representation Learning. - Xiwen Geng; Suyun Zhao; Yixin Yu; Borui Peng; Pan Du 002; Hong Chen 001; Cuiping Li 001; Mengdie Wang (AAAI, 2025)

Unsupervised Learning for Class Distribution Mismatch. - Pan Du; Wangbo Zhao; Xinai Lu; Nian Liu; Zhikai Li; Chaoyu Gong; Suyun Zhao; Hong Chen 001; Cuiping Li; Kai Wang; Yang You 001 (CoRR, 2025)

Towards a Theoretical Understanding of Semi-Supervised Learning Under Class Distribution Mismatch. - Pan Du 002; Suyun Zhao; Puhui Tan; Zisen Sheng; Zeyu Gan; Hong Chen 001; Cuiping Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)