A Logic Language of Granular Computing. - Yiyu Yao; Bing Zhou 002 (IEEE ICCI, 2007)

Interpreting Low and High Order Rules: A Granular Computing Approach. - Yiyu Yao; Bing Zhou 002; Yaohua Chen (RSEISP, 2007)

Micro and macro evaluation of classification rules. - Yiyu Yao; Bing Zhou 002 (IEEE ICCI, 2008)

Evaluating Information Retrieval System Performance Based on Multi-grade Relevance. - Bing Zhou 002; Yiyu Yao (ISMIS, 2008)

A Logic Approach to Granular Computing. - Bing Zhou 002; Yiyu Yao (Int. J. Cogn. Informatics Nat. Intell., 2008)

In search for effective granularity with DTRS. - Bing Zhou 002; Yiyu Yao (IEEE ICCI, 2010)

A Three-Way Decision Approach to Email Spam Filtering. - Bing Zhou 002; Yiyu Yao; Jigang Luo (Canadian AI, 2010)

Naive Bayesian Rough Sets. - Yiyu Yao; Bing Zhou 002 (RSKT, 2010)

Evaluating information retrieval system performance based on user preference. - Bing Zhou 002; Yiyu Yao (J. Intell. Inf. Syst., 2010)

A New Formulation of Multi-category Decision-Theoretic Rough Sets. - Bing Zhou 002 (RSKT, 2011)

In Search of Effective Granulization with DTRS for Ternary Classification. - Bing Zhou 002; Yiyu Yao (Int. J. Cogn. Informatics Nat. Intell., 2011)

A Comparison Study of Cost-Sensitive Classifier Evaluations. - Bing Zhou 002; Qingzhong Liu (Brain Informatics, 2012)

A general frame for intuitionistic fuzzy rough sets. - Xiaohong Zhang 001; Bing Zhou 002; Peng Li (Inf. Sci., 2012)

Applying rough set theory to information retrieval. - Bing Zhou 002 (CCECE, 2013)

An improved approach to detecting content-aware scaling-based tampering in JPEG images. - Qingzhong Liu; Peter A. Cooper; Bing Zhou 002 (ChinaSIP, 2013)

Comparison of Two Models of Probabilistic Rough Sets. - Bing Zhou 002; Yiyu Yao (RSKT, 2013)

Feature Selection Based on Confirmation-Theoretic Rough Sets. - Bing Zhou 002; Yiyu Yao (RSCTC, 2014)

Multi-class decision-theoretic rough sets. - Bing Zhou 002 (Int. J. Approx. Reason., 2014)

Cost-sensitive three-way email spam filtering. - Bing Zhou 002; Yiyu Yao; Jigang Luo (J. Intell. Inf. Syst., 2014)

Using Vector Quantization of Hough Transform for Circle Detection. - Bing Zhou 002 (ICMLA, 2015)

Decision-Level Sensor-Fusion Based on DTRS. - Bing Zhou 002; Yiyu Yao (RSKT, 2015)

Enhanced Approach to Detection of SQL Injection Attack. - Raja Prasad Karuparthi; Bing Zhou 002 (ICMLA, 2016)

Exposing Inpainting Forgery in JPEG Images under Recompression Attacks. - Qingzhong Liu; Andrew H. Sung; Bing Zhou 002; Mengyu Qiao (ICMLA, 2016)

Utilizing DTRS for Imbalanced Text Classification. - Bing Zhou 002; Yiyu Yao; Qingzhong Liu (IJCRS, 2016)

Two Bayesian approaches to rough sets. - Yiyu Yao; Bing Zhou 002 (Eur. J. Oper. Res., 2016)

Generalized attribute reduct in rough set theory. - Xiuyi Jia; Lin Shang 001; Bing Zhou 002; Yiyu Yao (Knowl. Based Syst., 2016)

Performance evaluation of Twitter datasets on SQL and NoSQL DBMS. - Franklin Leung; Bing Zhou 002 (Web Intell., 2016)

Forensic database reconstruction. - Joshua Sablatura; Bing Zhou 002 (IEEE BigData, 2017)

A Novel Three-Way Clustering Algorithm for Mixed-Type Data. - Hong Yu 007; Zhihua Chang; Bing Zhou 002 (ICBK, 2017)

Robust Sensor Data Fusion Through Adaptive Threshold Learning. - Bing Zhou 002; Hyuk Cho; Adam Mansfield (IEA/AIE (1), 2017)

A Multi-objective Attribute Reduction Method in Decision-Theoretic Rough Set Model. - Lu Wang; Weiwei Li 001; Xiuyi Jia; Bing Zhou 002 (KSEM, 2017)

Fast Circle Detection Using Spatial Decomposition of Hough Transform. - Bing Zhou 002; Yang He (Int. J. Pattern Recognit. Artif. Intell., 2017)

Improving Database Security with Pixel-based Granular Encryption. - Ahmet Furkan Aydogan; Bing Zhou 002 (IEEE BigData, 2018)

Scalable Implementations of Rough Set Algorithms: A Survey. - Bing Zhou 002; Hyuk Cho; Xin Zhang (IEA/AIE, 2018)

Tag recommendation method in folksonomy based on user tagging status. - Hong Yu 007; Bing Zhou 002; Mingyao Deng; Feng Hu 001 (J. Intell. Inf. Syst., 2018)

Are We Really Protected? An Investigation into the Play Protect Service. - Shinelle Hutchinson; Bing Zhou 002; Umit Karabiyik (IEEE BigData, 2019)

Comparative Study of Wear-leveling in Solid-State Drive with NTFS File System. - Ashar Neyaz; Bing Zhou 002; Narasimha Karpoor (IEEE BigData, 2019)

Minimum Latency Aggregation Scheduling in Internet of Things. - Min Kyung An; Hyuk Cho; Bing Zhou 002; Lei Chen 029 (ICNC, 2019)

Multi-objective attribute reduction in three-way decision-theoretic rough set model. - Weiwei Li 001; Xiuyi Jia; Lu Wang; Bing Zhou 002 (Int. J. Approx. Reason., 2019)

Centrality and Scalability Analysis on Distributed Graph of Large-Scale E-mail Dataset for Digital Forensics. - Selim Ozcan; Merve Astekin; Narasimha K. Shashidhar; Bing Zhou 002 (IEEE BigData, 2020)

Digital Forensics Process of an Attack Vector in ICS environment. - Todd Mason; Bing Zhou 002 (IEEE BigData, 2021)

Physical security design of a digital forensic lab. - Doug Weeks; Bing Zhou 002 (Int. J. Electron. Secur. Digit. Forensics, 2021)

Forensic Analysis of Amazon Alexa Echo Dot 4th Generation. - Damilola Oladimeji; Bing Zhou 002 (IEEE Big Data, 2022)

Detection of Anti-forensics and Malware Applications in Volatile Memory Acquisition. - Chandlor Ratcliffe; Biodoumoye George Bokolo; Damilola Oladimeji; Bing Zhou 002 (IEA/AIE, 2022)

Ethical Hacking in Digital Forensics. - Damilola Oladimeji; Laura Garland; Jayanthi Ramamoorthy; Bing Zhou 002 (IEEE Big Data, 2023)

Detecting Web-Based Attacks: A Comparative Analysis of Machine Learning and BERT Transformer Approaches. - Razaq Jinad; Khushi Gupta; Chukwuemeka Ihekweazu; Qingzhong Liu; Bing Zhou 002 (IEA/AIE (2), 2023)

Anomaly based malware threat detection on Linux Systems. - Jayanthi Ramamoorthy; Narasimha K. Shashidhar; Bing Zhou 002 (TrustCom, 2023)

Digital forensic analysis of discord on google chrome. - Khushi Gupta; Cihan Varol; Bing Zhou 002 (Forensic Sci. Int. Digit. Investig., 2023)