| 2026 | ACL | OCR-Memory: Optical Context Retrieval for Long-Horizon Agent Memory. | Jinze Li, Yang Zhang, Xin Yang, Jiayi Qu, Jinfeng Xu, Shuo Yang, Junhua Ding, Edith Cheuk-Han Ngai |
| 2026 | EACL | Harmful Factuality: LLMs Correcting What They Shouldn't. | Mingchen Li, Hanzhi Zhang, Heng Fan, Junhua Ding, Yunhe Feng |
| 2026 | WWW | Digital Skin, Digital Bias: Uncovering Tone-Based Biases in LLMs and Emoji Embeddings. | Mingchen Li, Wajdi Aljedaani, Yingjie Liu, Navyasri Meka, Xuan Lu, Xinyue Ye, Junhua Ding, Yunhe Feng |
| 2026 | WWW | AdaQE-CG: Adaptive Query Expansion for Web-Scale Generative AI Model and Data Card Generation. | Haoxuan Zhang, Ruochi Li, Zhenni Liang, Mehri Sattari, Phat Vo, Collin Qu, Ting Xiao, Junhua Ding, Yang Zhang, Haihua Chen |
| 2025 | EMNLP | DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting. | Mingchen Li, Heng Fan, Song Fu, Junhua Ding, Yunhe Feng |
| 2025 | EMNLP | Speaking at the Right Level: Literacy-Controlled Counterspeech Generation with RAG-RL. | Xiaoying Song, Anirban Saha Anik, Dibakar Barua, Pengcheng Luo, Junhua Ding, Lingzi Hong |
| 2025 | ICCCN | Enabling Federated Learning for Object Detection in Connected Autonomous Driving Using YOLO with the Flower Framework. | Komala Subramanyam Cherukuri, Kewei Sha, Junhua Ding |
| 2025 | ICCV | GSOT3D: Towards Generic 3D Single Object Tracking in the Wild. | Yifan Jiao, Yunhao Li, Junhua Ding, Qing Yang, Song Fu, Heng Fan, Libo Zhang |
| 2025 | ICDM | Unveiling the Merits and Defects of LLMs in Automatic Review Generation for Scientific Papers. | Ruochi Li, Haoxuan Zhang, Edward F. Gehringer, Ting Xiao, Junhua Ding, Haihua Chen |
| 2024 | KSEM | GenFlowchart: Parsing and Understanding Flowchart Using Generative AI. | Abdul Arbaz, Heng Fan, Junhua Ding, Meikang Qiu, Yunhe Feng |
| 2024 | WACV | PreciseDebias: An Automatic Prompt Engineering Approach for Generative AI to Mitigate Image Demographic Biases. | Colton Clemmer, Junhua Ding, Yunhe Feng |
| 2023 | ICAIL | Keyword-based Augmentation Method to Enhance Abstractive Summarization for Legal Documents. | Huyen Nguyen, Junhua Ding |
| 2023 | QRS | Bias Analysis in Language Models using An Association Test and Prompt Engineering. | Ravi Varma Kumar Bevara, Ting Xiao, Farahnaz Hosseini, Junhua Ding |
| 2023 | QRS | Quality Evaluation of Summarization Models for Patent Documents. | Junhua Ding, Haihua Chen, Sai Kolapudi, Lavanya Pobbathi, Huyen Nguyen |
| 2023 | QRS | An Approach for Ensuring the Privacy in Smart Contracts. | Wenqian Zhao, Meghana Patibandla, Junhua Ding |
| 2020 | QRS | Data Evaluation and Enhancement for Quality Improvement of Machine Learning. | Haihua Chen, Jiangping Chen, Junhua Ding |
| 2019 | QRS | Testing Scientific Software with Invariant Relations: A Case Study. | Junhua Ding, XinChuan Li, Xin-Hua Hu |
| 2017 | BigData | Building an SVM Classifier for Automated Selection of Big Data. | Junhua Ding, Jiabin Wang, Xiaojun Kang, Xin-Hua Hu |
| 2017 | ICSE | Validating a Deep Learning Framework by Metamorphic Testing. | Junhua Ding, Xiaojun Kang, Xin-Hua Hu |
| 2017 | ICSE | AST 2017 Workshop Summary. | Hong Zhu, Junhua Ding, Patrcia D. L. Machado, Marc Roper |
| 2017 | QRS | Combinatorial Methods of Feature Selection for Cell Image Classification. | Sergiy Vilkomir, Jiabin Wang, Nam Le Thai, Junhua Ding |
| 2017 | SMC | An approach for detecting groundwater runoff connectivity using cluster analysis. | Xiaojun Kang, Xuguang Zhao, Caixia Guo, Junhua Ding |
| 2016 | COMPSAC | An Approach for Iteratively Generating Adequate Tests in Metamorphic Testing: A Case Study. | Junhua Ding, Dongmei Zhang |
| 2016 | ICNC | An approach for modeling and analyzing dynamic software architectures. | Junhua Ding |
| 2016 | ICSE | An application of metamorphic testing for testing scientific software. | Junhua Ding, Dongmei Zhang, Xin-Hua Hu |
| 2016 | SEKE | A Machine Learning Approach for Developing Test Oracles for Testing Scientific Software. | Junhua Ding, Dongmei Zhang |
| 2015 | QRS | Feature Selection and Analysis of Diffraction Images. | Sai Kiran Thati, Junhua Ding, Dongmei Zhang, Xin-Hua Hu |
| 2015 | SEKE | Modeling and Analyzing Publish Subscribe Architcture using Petri Nets. | Junhua Ding, Dongmei Zhang |
| 2014 | SEKE | Development of A Sliding Window Protocol for Data Synchronization in a Flow Cytometer. | Junhua Ding, Yuxiang Shao, Dongmei Zhang |
| 2013 | ICSE | A framework for global collaboration in teaching software engineering. | Junhua Ding |
| 2013 | SEKE | An Approach for Analyzing Software Specifications in Petri Nets. | Junhua Ding, Dianxiang Xu, Jidong Ge |
| 2012 | APSCC | An Approach for Modeling and Analyzing Code Mobility. | Junhua Ding, Jidong Ge |
| 2012 | ICSE | Teaching software engineering with global understanding. | Junhua Ding, Biwu Yang |
| 2012 | SEKE | Model-Based Metamorphic Testing: A Case Study. | Junhua Ding, Dianxiang Xu |
| 2011 | ICSE | Metamorphic testing of a Monte Carlo modeling program. | Junhua Ding, Tong Wu, Dianxiang Xu, Jun Q. Lu, Xin-Hua Hu |
| 2010 | ICST | Prioritizing State-Based Aspect Tests. | Dianxiang Xu, Junhua Ding |
| 2010 | SEKE | Designing Aspects with Use Cases: A Case Study. | Junhua Ding, Christopher R. Westbrook, Mohammad H. N. Tabrizi |
| 2008 | ICSE | Evaluating Test Adequacy Coverage of High Level Petri Nets Using Spin. | Junhua Ding, Gonzalo Argote-Garcia, Peter J. Clarke, Xudong He |
| 2008 | SAC | An approach for specification construction using property-preserving refinement patterns. | Junhua Ding, Lian Mo, Xudong He |
| 2005 | SMC | Formally modeling and analyzing a secure mobile agent finder. | Junhua Ding, Zhengfan Dai, Jiacun Wang, Xudong He |
| 2005 | SEKE | Design an Interoperable Mobile Agent System Based on Predicate Transition Net Models. | Junhua Ding, Dianxiang Xu, Yi Deng, Peter J. Clarke, Xudong He |
| 2002 | SEKE | Model checking software architecture specifications in SAM. | Xudong He, Junhua Ding, Yi Deng |