| 2026 | COMPSAC | Data-Constrained File Fragment Classification Across Heterogeneous File Types using Large Language Models. | Honghe Zhou, Weifeng Xu, Josh Dehlinger, Suranjan Chakraborty, Lin Deng |
| 2025 | COMPSAC | Leveraging Large Language Models for Generating Training Datasets for Text Extraction from Thumbnails. | Eric Xu, Chimezie Onwuegbuchulem, Sarfraz Shaikh, Lin Deng |
| 2025 | COMPSAC | Forensic Intelligence Graphs: An LLM Approach to Digital Evidence Extraction and Relationship Analysis. | Honghe Zhou, Weifeng Xu, Josh Dehlinger, Suranjan Chakraborty, Lin Deng |
| 2025 | ICA3PP | Low-Cost Approximate Floating-Point Multiplier Design Based on SSA and Sparse Processing. | Xin Peng, Pengcheng Li, Gang Chen, Mingche Lai, Lin Deng, Qianmin Yang, Yongwen Wang, Libo Huang |
| 2025 | KDD | Enhancing Digital Forensics Evidence Analysis with Large Language Models. | Eric Xu, Lin Deng |
| 2025 | SEKE | Project Pulse: Enhancing Peer Evaluation and Team Accountability in Senior Design Projects. | Bingyang Wei, Robin Chataut, Lin Deng |
| 2024 | ACL | STSPL-SSC: Semi-Supervised Few-Shot Short Text Clustering with Semantic text similarity Optimized Pseudo-Labels. | Wenhua Nie, Lin Deng, Chang-Bo Liu, Jialing Wei, Ruitong Han, Haoran Zheng |
| 2024 | ICST | Mutant-Kraken: A Mutation Testing Tool for Kotlin. | Josue Molina-Morales, Lin Deng, Josh Dehlinger, Suranjan Chakraborty |
| 2023 | COMPSAC | Reconstructing Android User Behavior through Timestamped State Models. | Honghe Zhou, Phuong Dinh Nguyen, Lin Deng, Weifeng Xu, Josh Dehlinger, Suranjan Chakraborty |
| 2023 | ICA3PP | PowerDis: Fine-Grained Power Monitoring Through Power Disaggregation Model. | Xinxin Qi, Juan Chen, Rongyu Deng, Zekai Li, Lin Deng, Yuan Yuan, Yonggang Che |
| 2023 | SIGCSE | A Hands-on Digital Forensic Lab to Investigate Morris Worm Attack. | Eric Xu, Alex S. Xu, Danny Ferreira, Lin Deng |
| 2023 | SERA | Experimental Evaluation of Adversarial Attacks Against Natural Language Machine Learning Models. | Jonathan Li, Steven Pugh, Honghe Zhou, Lin Deng, Josh Dehlinger, Suranjan Chakraborty |
| 2022 | COMPSAC | Towards Designing Shared Digital Forensics Instructional Materials. | Weifeng Xu, Lin Deng, Dianxiang Xu |
| 2022 | ICA3PP | CP | Xinxin Qi, Juan Chen, Lin Deng |
| 2022 | ICPADS | DGEMM Optimization Oriented to ARM SVE Instruction Set Architecture. | Yi Wei, Lin Deng, Sizheng Sun, Sisi Li, Li Shen |
| 2022 | SERA | Securing Sensitive Data in Java Virtual Machines. | Lin Deng, Bingyang Wei, Jin Guo, Matt Benke, Tyler Howard, Matt Krause, Aman Patel |
| 2022 | SERA | Towards Internet of Things (IoT) Forensics Analysis on Intelligent Robot Vacuum Systems. | Honghe Zhou, Lin Deng, Weifeng Xu, Wei Yu, Josh Dehlinger, Suranjan Chakraborty |
| 2021 | COMPSAC | Automatic Identification of Vulnerable Code: Investigations with an AST-Based Neural Network. | Garrett Partenza, Trevor Amburgey, Lin Deng, Josh Dehlinger, Suranjan Chakraborty |
| 2021 | HPCC | $AP^{3}$: Adaptive Power Prediction Framework based on Spatial Partition Multi-Phase Model. | Juan Chen, Zhixin Ou, Yifei Guo, Xinxin Qi, Yuyang Sun, Lin Deng, Hongyu Chen, Zihan Lin |
| 2021 | ICST | Automatic Equivalent Mutants Classification Using Abstract Syntax Tree Neural Networks. | Samuel Peacock, Lin Deng, Josh Dehlinger, Suranjan Chakraborty |
| 2021 | REFSQ | Using Recurrent Neural Networks for Classification of Natural Language-based Non-functional Requirements. | Rajesh Kumar Gnanasekaran, Suranjan Chakraborty, Josh Dehlinger, Lin Deng |
| 2020 | ICST | Teaching Software Testing with Free and Open Source Software. | Lin Deng, Josh Dehlinger, Suranjan Chakraborty |
| 2019 | COMPSAC | Automatic Multi-class Non-Functional Software Requirements Classification Using Neural Networks. | Cody Baker, Lin Deng, Suranjan Chakraborty, Josh Dehlinger |
| 2019 | HCI | Towards an Augmented Reality-Based Mobile Math Learning Game System. | Lin Deng, Jing Tian, Christopher Cornwell, Victoria Phillips, Long Chen, Amro Alsuwaida |
| 2019 | SERA | Classification of Smart Contract Bugs Using the NIST Bugs Framework. | Wesley Dingman, Aviel Cohen, Nick Ferrara, Adam Lynch, Patrick Jasinski, Paul E. Black, Lin Deng |
| 2019 | SERA | Towards Automated Security Vulnerability and Software Defect Localization. | Nicholas Visalli, Lin Deng, Amro Alsuwaida, Zachary Brown, Manish Joshi, Bingyang Wei |
| 2018 | SEKE | Reducing the Cost of Android Mutation Testing. | Lin Deng, Jeff Offutt |
| 2017 | CIS | A KNN Match Based Tracking-Learning-Detection Method with Adjustment of Surveyed Areas. | Yumin Tian, Lin Deng, Qiang Li |
| 2017 | COMPSAC | Measurement of Source Code Readability Using Word Concreteness and Memory Retention of Variable Names. | Weifeng Xu, Dianxiang Xu, Lin Deng |
| 2017 | ICIP | A Gabor feature fusion framework for hyperspectral imagery classification. | Sen Jia, Bin Deng, Huimin Xie, Lin Deng |
| 2017 | IGARSS | Gabor feature based support vector guided dictionary learning for hyperspectral image classification. | Sen Jia, Huimin Xie, Lin Deng, Qiang Huang, Jun Li |
| 2017 | QRS | Is Mutation Analysis Effective at Testing Android Apps? | Lin Deng, Jeff Offutt, David Samudio |
| 2016 | ICST | An Experimental Evaluation of Web Mutation Operators. | Upsorn Praphamontripong, Jeff Offutt, Lin Deng, Jingjing Gu |
| 2016 | IGARSS | Three-dimensional local binary patterns for hyperspectral imagery classification. | Sen Jia, Jie Hu, Lin Deng, Xiuping Jia |
| 2015 | ICIP | AN ℓ1/2 regularized low-rank representation for hyperspectral imagery classification. | Sen Jia, Xiujun Zhang, Lin Deng, Zhenqiu Shu |
| 2015 | ICST | Towards mutation analysis of Android apps. | Lin Deng, Nariman Mirzaei, Paul Ammann, Jeff Offutt |
| 2015 | IGARSS | Gabor feature based dictionary fusion for hyperspectral imagery classification. | Sen Jia, Jie Hu, Guihua Tang, Linlin Shen, Lin Deng |
| 2014 | ICST | Experimental Evaluation of SDL and One-Op Mutation for C. | Mrcio Eduardo Delamaro, Lin Deng, Vinicius Humberto Serapilha Durelli, Nan Li, Jeff Offutt |
| 2014 | ICST | Mutant Subsumption Graphs. | Bob Kurtz, Paul Ammann, Mrcio Eduardo Delamaro, Jeff Offutt, Lin Deng |
| 2013 | ICST | Empirical Evaluation of the Statement Deletion Mutation Operator. | Lin Deng, Jeff Offutt, Nan Li |
| 2013 | IGARSS | A CW-SSIM distance measure-based affinity propagation for hyperspectral band selection. | Sen Jia, Lin Deng |
| 2013 | ISSRE | Is bytecode instrumentation as good as source code instrumentation: An empirical study with industrial tools (Experience Report). | Nan Li, Xin Meng, Jeff Offutt, Lin Deng |
| 2012 | GRC | A new rumor propagation model on SNS structure. | Hui Wang, Lin Deng, Fei Xie, Hui Xu, Jianghong Han |
| 2012 | ICMLC | A variant epidemic propogation model suitable for rumor spreading in Online social network. | Hui Wang, Lin Deng, Yi-Shuan Huang, Shu Zhao |
| 2012 | SMC | Head pose estimation based on Active Shape Model and Relevant Vector Machine. | Min Jiang, Lin Deng, Lei Zhang, Jinshan Tang, Chan Fan |
| 2011 | SMC | Human body pose estimation based on histograms of oriented gradients and Relevance Vector Machine. | Lin Deng, Min Jiang, Jinshan Tang |
| 2008 | ISPA | Energy-Oriented OpenMP Parallel Loop Scheduling. | Yong Dong, Juan Chen, Xuejun Yang, Lin Deng, Xuemeng Zhang |
| 2008 | ISPA | DMA Performance Analysis and Multi-core Memory Optimization for SWIM Benchmark on the Cell Processor. | Yong Dou, Lin Deng, Jinhui Xu, Yi Zheng |
| 2004 | ICDM | Test-Cost Sensitive Naive Bayes Classification. | Xiaoyong Chai, Lin Deng, Qiang Yang, Charles X. Ling |
| 2004 | KDD | Spying Out Accurate User Preferences for Search Engine Adaptation. | Lin Deng, Wilfred Ng, Xiaoyong Chai, Dik Lun Lee |
| 2004 | KDD | A rank sum test method for informative gene discovery. | Lin Deng, Jian Pei, Jinwen Ma, Dik Lun Lee |