| 2025 | AAAI | Personalized Clustering via Targeted Representation Learning. | Xiwen Geng, Suyun Zhao, Yixin Yu, Borui Peng, Pan Du, Hong Chen, Cuiping Li, Mengdie Wang |
| 2025 | DASFAA | Decoupled Self-knowledge Distillation Makes Differentially Private Deep Learning Stronger. | Dengfeng Zhao, DaXuan Xue, Suyun Zhao, Cuiping Li, Hong Chen |
| 2025 | ICML | Unsupervised Learning for Class Distribution Mismatch. | Pan Du, Wangbo Zhao, Xinai Lu, Nian Liu, Zhikai Li, Chaoyu Gong, Suyun Zhao, Hong Chen, Cuiping Li, Kai Wang, Yang You |
| 2023 | AAAI | Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model. | Yixuan Liu, Suyun Zhao, Li Xiong, Yuhan Liu, Hong Chen |
| 2023 | CVPR | Superclass Learning with Representation Enhancement. | Zeyu Gan, Suyun Zhao, Jinlong Kang, Liyuan Shang, Hong Chen, Cuiping Li |
| 2023 | ICCV | Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch. | Pan Du, Suyun Zhao, Zisen Sheng, Cuiping Li, Hong Chen |
| 2022 | APWEB | FDP-LDA: Inherent Privacy Amplification of Collapsed Gibbs Sampling via Group Subsampling. | Tao Huang, Hong Chen, Suyun Zhao |
| 2022 | ICASSP | Fldp: Flexible Strategy For Local Differential Privacy. | Dan Zhao, Hong Chen, Suyun Zhao, Ruixuan Liu, Cuiping Li, Xiaoying Zhang |
| 2022 | ICDE | Collecting Triangle Counts with Edge Relationship Local Differential Privacy. | Yuhan Liu, Suyun Zhao, Yixuan Liu, Dan Zhao, Hong Chen, Cuiping Li |
| 2022 | IJCAI | Exploring Binary Classification Hidden within Partial Label Learning. | Hengheng Luo, Yabin Zhang, Suyun Zhao, Hong Chen, Cuiping Li |
| 2021 | ICCV | Contrastive Coding for Active Learning under Class Distribution Mismatch. | Pan Du, Suyun Zhao, Hui Chen, Shuwen Chai, Hong Chen, Cuiping Li |
| 2020 | ECAI | Partial Label Learning via Generative Adversarial Nets. | Yabin Zhang, Guang Yang, Suyun Zhao, Peng Ni, Hairong Lian, Hong Chen, Cuiping Li |
| 2019 | APWEB | I-mRMR: Incremental Max-Relevance, and Min-Redundancy Feature Selection. | Yeliang Xiu, Suyun Zhao, Hong Chen, Cuiping Li |
| 2019 | NSS | Privacy Preserving Machine Learning with Limited Information Leakage. | Wenyi Tang, Bo Qin, Suyun Zhao, Boning Zhao, Yunzhi Xue, Hong Chen |
| 2019 | PAKDD | An Accelerator of Feature Selection Applying a General Fuzzy Rough Model. | Peng Ni, Suyun Zhao, Hong Chen, Cuiping Li |
| 2018 | PRICAI | Fuzzy Rough Based Feature Selection by Using Random Sampling. | Zhenlei Wang, Suyun Zhao, Yangming Liu, Hong Chen, Cuiping Li, Sun Xiran |
| 2017 | APWEB | Fuzzy Rough Incremental Attribute Reduction Applying Dependency Measures. | Yangming Liu, Suyun Zhao, Hong Chen, Cuiping Li, Yanmin Lu |
| 2017 | ICMLC | Weights based ranked fuzzy rough reduction. | Eric C. C. Tsang, Xingqi Fan, Xuefeng Li, Suyun Zhao |
| 2016 | ICMLC | Random analysis of statistical rough set. | Eric C. C. Tsang, Suyun Zhao |
| 2015 | ICMLC | The comparative study of fuzzy rough reduction. | Eric C. C. Tsang, Suyun Zhao |
| 2014 | ICMLC | A Fast Algorithm to Building a Fuzzy Rough Classifier. | Eric C. C. Tsang, Suyun Zhao |
| 2014 | SMC | Randomly sampling based fuzzy rough reduction. | Yu Chen, Suyun Zhao, Hong Chen |
| 2013 | EuroPar | Efficient Event Prewarning for Sensor Networks with Multi Microenvironments. | Yinglong Li, Hong Chen, Suyun Zhao, Shangfeng Mo |
| 2013 | ICMLC | The topological structure in parameterized rough sets. | Eric C. C. Tsang, Suyun Zhao |
| 2013 | SMC | The Nested Structure in Fuzzy Rough Classifier. | Suyun Zhao, Hong Chen, Cuiping Li, Yu Chen |
| 2012 | ICTAI | Mining Fuzzy Association Rules from Heterogeneous Probabilistic Datasets. | Bin Pei, Tingting Zhao, Suyun Zhao, Hong Chen |
| 2011 | ICMLC | A property of reductions in Fuzzy Variable Precision Rough Set model. | Eric C. C. Tsang, Suyun Zhao, Cai-Li Zhou |
| 2007 | SMC | An approach of attributes reduction based on fuzzy TL rough sets. | Degang Chen, Eric C. C. Tsang, Suyun Zhao |
| 2006 | SMC | A Discussion of Attribute Reduction in Fuzzy Rough Sets Using Support Vector Machine. | Eric C. C. Tsang, Degang Chen, Suyun Zhao, Qiang He |
| 2005 | ICMLC | 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 |