Junhua Ding

According to our database, Junhua Ding authored at least 96 papers between 1998 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

LLM-ReSum: A Framework for LLM Reflective Summarization through Self-Evaluation.

Huyen Nguyen, Haoxuan Zhang, Yang Zhang, Junhua Ding, Haihua Chen

CoRR, April, 2026

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization.

Huyen Nguyen, Haoxuan Zhang, Yang Zhang, Haihua Chen, Junhua Ding

CoRR, April, 2026

MetaGAI: A Large-Scale and High-Quality Benchmark for Generative AI Model and Data Card Generation.

Haoxuan Zhang, Ruochi Li, Yang Zhang, Zhenni Liang, Junhua Ding, Ting Xiao, Haihua Chen

CoRR, April, 2026

A comprehensive survey on medical concept normalization: Datasets, techniques, applications, and future directions.

Haihua Chen, Yuhan Zhou, Ruochi Li, Aryan Murthy Illa, Ana D. Cleveland, Junhua Ding

J. Biomed. Informatics, 2026

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

Proceedings of the ACM Web Conference 2026, 2026

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

Proceedings of the ACM Web Conference 2026, 2026

Harmful Factuality: LLMs Correcting What They Shouldn't.

Mingchen Li, Hanzhi Zhang, Heng Fan, Junhua Ding, Yunhe Feng

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

The Evolving Role of Large Language Models in Scientific Innovation: Evaluator, Collaborator, and Scientist.

Haoxuan Zhang, Ruochi Li, Yang Zhang, Ting Xiao, Jiangping Chen, Junhua Ding, Haihua Chen

CoRR, July, 2025

Exploring the influence of regulated learning processes on learners' prestige in project-based learning.

Fengjiao Tu, Linjing Wu, Kinshuk, Junhua Ding, Haihua Chen

Educ. Inf. Technol., February, 2025

Enhancing data quality in medical concept normalization through large language models.

Haihua Chen, Ruochi Li, Ana D. Cleveland, Junhua Ding

J. Biomed. Informatics, 2025

IBID-CCT: A novel model for interdisciplinary breakthrough innovation detection based on the cusp catastrophe theory.

Zhongyi Wang, Na Wang, Haoxuan Zhang, Zeren Wang, Zhou Wang, Junhua Ding, Haihua Chen

Inf. Process. Manag., 2025

ReviewGuard: Enhancing Deficient Peer Review Detection via LLM-Driven Data Augmentation.

Haoxuan Zhang, Ruochi Li, Sarthak Shrestha, Shree Harshini Mamidala, Revanth Putta, Arka Krishan Aggarwal, Ting Xiao, Junhua Ding, Haihua Chen

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2025

Application of GAI to Empirical Studies: It's High Time to Discuss Challenges and Pitfalls.

Miyoung Chong, Junhua Ding, Chirag Shah, Haihua Chen

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2025

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

Proceedings of the IEEE International Conference on Data Mining, 2025

GSOT3D: Towards Generic 3D Single Object Tracking in the Wild.

Yifan Jiao, Yunhao Li, Junhua Ding, Qing Yang, Song Fu, Heng Fan, Libo Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Enabling Federated Learning for Object Detection in Connected Autonomous Driving Using YOLO with the Flower Framework.

Komala Subramanyam Cherukuri, Kewei Sha, Junhua Ding

Proceedings of the 34th International Conference on Computer Communications and Networks, 2025

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting.

Mingchen Li, Heng Fan, Song Fu, Junhua Ding, Yunhe Feng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Content-based quality evaluation of scientific papers using coarse feature and knowledge entity network.

Zhongyi Wang, Haoxuan Zhang, Haihua Chen, Yunhe Feng, Junhua Ding

J. King Saud Univ. Comput. Inf. Sci., 2024

Exploring and evaluating the index for interdisciplinary breakthrough innovation detection.

Zhongyi Wang, Xueyao Qiao, Jing Chen, Lina Li, Haoxuan Zhang, Junhua Ding, Haihua Chen

Electron. Libr., 2024

A Comparative Study of Quality Evaluation Methods for Text Summarization.

Huyen Nguyen, Haihua Chen, Lavanya Pobbathi, Junhua Ding

CoRR, 2024

A Survey on Data Quality Dimensions and Tools for Machine Learning.

Yuhan Zhou, Fengjiao Tu, Kewei Sha, Junhua Ding, Haihua Chen

CoRR, 2024

PreciseDebias: An Automatic Prompt Engineering Approach for Generative AI to Mitigate Image Demographic Biases.

Colton Clemmer, Junhua Ding, Yunhe Feng

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

GenFlowchart: Parsing and Understanding Flowchart Using Generative AI.

Abdul Arbaz, Heng Fan, Junhua Ding, Meikang Qiu, Yunhe Feng

Proceedings of the Knowledge Science, Engineering and Management, 2024

Digital Libraries for Cultural Heritage Data Curation and Stewardship.

Ana Roeschley, Junhua Ding, Huan Xie, Yunfei Du

Proceedings of the 24th ACM/IEEE Joint Conference on Digital Libraries, 2024

Plenary Panel at IEEE CISOSE 2024; GenAI, Where are You Going?

Hong Zhu, Xiaoli Li, Junhua Ding, Emese Bari, Yang Liu

Proceedings of the IEEE International Conference on Artificial Intelligence Testing, 2024

Message From the General Chairs; IEEE AITest 2024.

Hong Zhu, Junhua Ding

Proceedings of the IEEE International Conference on Artificial Intelligence Testing, 2024

A Survey on Data Quality Dimensions and Tools for Machine Learning Invited Paper.

Yuhan Zhou, Fengjiao Tu, Kewei Sha, Junhua Ding, Haihua Chen

Proceedings of the IEEE International Conference on Artificial Intelligence Testing, 2024

Evaluation of Question-Answering Based Text Summarization using LLM Invited Paper.

Junhua Ding, Huyen Nguyen, Haihua Chen

Proceedings of the IEEE International Conference on Artificial Intelligence Testing, 2024

Plenary Panel at IEEE CISOSE 2024; Ethical, Societal, and Policy Implications of AI.

Monowar Bhuyan, Lingzi Hong, Fanjing Meng, Junhua Ding

Proceedings of the IEEE International Conference on Artificial Intelligence Testing, 2024

2023

An Approach for Ensuring the Privacy in Smart Contracts.

Wenqian Zhao, Meghana Patibandla, Junhua Ding

Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Quality Evaluation of Summarization Models for Patent Documents.

Junhua Ding, Haihua Chen, Sai Kolapudi, Lavanya Pobbathi, Huyen Nguyen

Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Bias Analysis in Language Models using An Association Test and Prompt Engineering.

Ravi Varma Kumar Bevara, Ting Xiao, Farahnaz Hosseini, Junhua Ding

Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Keyword-based Augmentation Method to Enhance Abstractive Summarization for Legal Documents.

Huyen Nguyen, Junhua Ding

Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, 2023

Measurement and Identification of Informative Reviews for Automated Summarization.

Huyen Nguyen, Haihua Chen, Roopesh Maganti, K. S. M. Tozammel Hossain, Junhua Ding

Proceedings of the IEEE International Conference On Artificial Intelligence Testing, 2023

Evaluating the Impact of Incentive/Non-incentive Reviews on Customer Decision-making.

Kate Kargozari, Junhua Ding, Haihua Chen

Proceedings of the IEEE International Conference On Artificial Intelligence Testing, 2023

2022

Construction and Evaluation of a High-Quality Corpus for Legal Intelligence Using Semiautomated Approaches.

Haihua Chen, Lavinia Florentina Pieptea, Junhua Ding

IEEE Trans. Reliab., 2022

A comparative study of automated legal text classification using random forests and deep learning.

Haihua Chen, Lei Wu, Jiangping Chen, Wei Lu, Junhua Ding

Inf. Process. Manag., 2022

Big Four Bank Performance on Facebook and Instagram: An Analysis of Post Engagement.

Ratnam Cheran, Junhua Ding

Int. J. Perform. Eng., 2022

A Quantitative Study of Software Reviews Using Content Analysis Methods.

Hongyu Zhang, Andrew Yang, Allen Peng, Lavinia Florentina Pieptea, Jian Yang, Junhua Ding

IEEE Access, 2022

Data Curation and Quality Evaluation for Machine Learning-Based Cyber Intrusion Detection.

Ngan Tran, Haihua Chen, Jay Bhuyan, Junhua Ding

IEEE Access, 2022

A Quantitative Study of Impact of Incentive to Quality of Software Reviews.

Mingwei Tang, Zhiwei Xu, Yuhao Qin, Cui Su, Yi Zhu, Feifei Tao, Junhua Ding

Proceedings of the 9th International Conference on Dependable Systems and Their Applications, 2022

2021

A Machine Learning Based Framework for Verification and Validation of Massive Scale Image Data.

Junhua Ding, Xin-Hua Hu, Venkat N. Gudivada

IEEE Trans. Big Data, 2021

Effect of Class Imbalance on the Performance of Machine Learning-based Network Intrusion Detection.

Ngan Tran, Haihua Chen, Jiang Janet, Jay Bhuyan, Junhua Ding

Int. J. Perform. Eng., 2021

Using latent features for building an interpretable recommendation system.

Ziming Zeng, Yu Shi, Lavinia Florentina Pieptea, Junhua Ding

Electron. Libr., 2021

Data Curation and Quality Assurance for Machine Learning-based Cyber Intrusion Detection.

Haihua Chen, Ngan Tran, Anand Sagar Thumati, Jay Bhuyan, Junhua Ding

CoRR, 2021

UNTIIA Lab at TREC 2021 - Clinical Trial.

Huyen Nguyen, Haihua Chen, Bhanu Prasad, Huanhuan Zhao, Junhua Ding, Jiangping Chen, Ana D. Cleveland

Proceedings of the Thirtieth Text REtrieval Conference, 2021

2020

Data Evaluation and Enhancement for Quality Improvement of Machine Learning.

Haihua Chen, Jiangping Chen, Junhua Ding

Proceedings of the 20th IEEE International Conference on Software Quality, 2020

An Experience Report for Running an REU Program in an iSchool.

Junhua Ding, Jiangping Chen, Alexis Palmer, Daniella LaShaun Smith

Proceedings of the Sustainable Digital Communities - 15th International Conference, 2020

SALKG: A Semantic Annotation System for Building a High-quality Legal Knowledge Graph.

Mingwei Tang, Cui Su, Haihua Chen, Jingye Qu, Junhua Ding

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

A Case Study of the Augmentation and Evaluation of Training Data for Deep Learning.

Junhua Ding, XinChuan Li, Xiaojun Kang, Venkat N. Gudivada

ACM J. Data Inf. Qual., 2019

An approach for computing routes without complicated decision points in landmark-based pedestrian navigation.

Sha Zhou, Run Wang, Junhua Ding, Xiaofang Pan, Shunping Zhou, Fang Fang, Wenjie Zhen

Int. J. Geogr. Inf. Sci., 2019

Testing Scientific Software with Invariant Relations: A Case Study.

Junhua Ding, XinChuan Li, Xin-Hua Hu

Proceedings of the 19th IEEE International Conference on Software Quality, 2019

A Practical Framework for Evaluating the Quality of Knowledge Graph.

Haihua Chen, Gaohui Cao, Jiangping Chen, Junhua Ding

Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding, 2019

2018

An Approach for Validating Quality of Datasets for Machine Learning.

Junhua Ding, XinChuan Li

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Application of metamorphic testing monitored by test adequacy in a Monte Carlo simulation program.

Junhua Ding, Xin-Hua Hu

Softw. Qual. J., 2017

Pattern recognition and classification of two cancer cell lines by diffraction imaging at multiple pixel distances.

He Wang, Yuanming Feng, Yu Sa, Jun Q. Lu, Junhua Ding, Jun Zhang, Xin-Hua Hu

Pattern Recognit., 2017

An approach for detecting groundwater runoff connectivity using cluster analysis.

Xiaojun Kang, Xuguang Zhao, Caixia Guo, Junhua Ding

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Combinatorial Methods of Feature Selection for Cell Image Classification.

Sergiy Vilkomir, Jiabin Wang, Nam Le Thai, Junhua Ding

Proceedings of the 2017 IEEE International Conference on Software Quality, 2017

Validating a Deep Learning Framework by Metamorphic Testing.

Junhua Ding, Xiaojun Kang, Xin-Hua Hu

Proceedings of the 2nd IEEE/ACM International Workshop on Metamorphic Testing, 2017

Augmentation and evaluation of training data for deep learning.

Junhua Ding, XinChuan Li, Venkat N. Gudivada

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Building an SVM Classifier for Automated Selection of Big Data.

Junhua Ding, Jiabin Wang, Xiaojun Kang, Xin-Hua Hu

Proceedings of the 2017 IEEE International Congress on Big Data, 2017

Building a Deep Learning Classifier for Enhancing a Biomedical Big Data Service.

Junhua Ding, Xiaojun Kang, Xin-Hua Hu, Venkat N. Gudivada

Proceedings of the 2017 IEEE International Conference on Services Computing, 2017

2016

A Machine Learning Approach for Developing Test Oracles for Testing Scientific Software.

Junhua Ding, Dongmei Zhang

Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

An application of metamorphic testing for testing scientific software.

Junhua Ding, Dongmei Zhang, Xin-Hua Hu

Proceedings of the 1st International Workshop on Metamorphic Testing, 2016

An approach for modeling and analyzing dynamic software architectures.

Junhua Ding

Proceedings of the 12th International Conference on Natural Computation, 2016

An empirical study of parallel solutions for GLCM calculation of diffraction images.

John Dixon, Junhua Ding

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

An Approach for Iteratively Generating Adequate Tests in Metamorphic Testing: A Case Study.

Junhua Ding, Dongmei Zhang

Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016

A Framework for Ensuring the Quality of a Big Data Service.

Junhua Ding, Dongmei Zhang, Xin-Hua Hu

Proceedings of the IEEE International Conference on Services Computing, 2016

2015

Modeling and Analyzing Publish Subscribe Architcture using Petri Nets.

Junhua Ding, Dongmei Zhang

Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering, 2015

Feature Selection and Analysis of Diffraction Images.

Sai Kiran Thati, Junhua Ding, Dongmei Zhang, Xin-Hua Hu

Proceedings of the 2015 IEEE International Conference on Software Quality, 2015

2014

Development of a novel cryptography tool for personal communication.

Rober Grimes, Junhua Ding

Proceedings of 11th IEEE International Conference on Networking, Sensing and Control, 2014

Self-guided learning environment for undergraduate software engineering.

Junhua Ding

Proceedings of the 27th IEEE Conference on Software Engineering Education and Training, 2014

2013

A framework for global collaboration in teaching software engineering.

Junhua Ding

Proceedings of the 3rd International Workshop on Collaborative Teaching of Globally Distributed Software Development, 2013

Undergraduates and research: Motivations, challenges, and the path forward.

W. Eric Wong, Junhua Ding, Gene Fiorini, Christian K. Hansen

Proceedings of the 26th International Conference on Software Engineering Education and Training, 2013

An approach for modeling and analyzing the communication protocols in a telemedicine system.

Junhua Ding, Dongmei Zhang

Proceedings of the 6th International Conference on Biomedical Engineering and Informatics, 2013

2012

Enforcement of Role Based Access Control in Social Network Environments.

Junhua Ding, Lian Mo

Proceedings of the Sixth International Conference on Software Security and Reliability, 2012

Teaching software engineering with global understanding.

Junhua Ding, Biwu Yang

Proceedings of the Second International Workshop on Collaborative Teaching of Globally Distributed Software Development, 2012

2011

Metamorphic testing of a Monte Carlo modeling program.

Junhua Ding, Tong Wu, Dianxiang Xu, Jun Q. Lu, Xin-Hua Hu

Proceedings of the 6th International Workshop on Automation of Software Test, 2011

Development of North Carolina's first Software Engineering program: An experience report.

Mohammad H. N. Tabrizi, Sergiy Vilkomir, Junhua Ding

Proceedings of the 24th IEEE-CS Conference on Software Engineering Education and Training, 2011

2010

Formal Specification and Analysis of an Agent-Based Medical Image Processing System.

Junhua Ding, Xudong He

Int. J. Softw. Eng. Knowl. Eng., 2010

Designing Aspects with Use Cases: A Case Study.

Junhua Ding, Christopher R. Westbrook, Mohammad H. N. Tabrizi

Proceedings of the 22nd International Conference on Software Engineering & Knowledge Engineering (SEKE'2010), Redwood City, San Francisco Bay, CA, USA, July 1, 2010

2009

A methodology for evaluating test coverage criteria of high levelPetri nets.

Junhua Ding, Peter J. Clarke, Gonzalo Argote-Garcia, Xudong He

Inf. Softw. Technol., 2009

An Approach for Modeling and Analyzing Crosscutting Concerns.

Yujian Fu, Junhua Ding, Phil Bording

Proceedings of the 2009 IEEE/INFORMS International Conference on Service Operations, 2009

2008

An approach for specification construction using property-preserving refinement patterns.

Junhua Ding, Lian Mo, Xudong He

Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

Evaluating Test Adequacy Coverage of High Level Petri Nets Using Spin.

Junhua Ding, Gonzalo Argote-Garcia, Peter J. Clarke, Xudong He

Proceedings of the 3rd International Workshop on Automation of Software Test, 2008

Modeling and Model Checking of a Clinical Diagnostic Algorithm.

Junhua Ding, Mohammad H. N. Tabrizi

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

Identifying Factors that Improve the Predictive Quality of BMI for Health Status.

M. L. D. Ponce, Junhua Ding, Mohammad H. N. Tabrizi

Proceedings of the International Conference on Bioinformatics & Computational Biology, 2008

2006

A formal model-based approach for developing an interoperable mobile agent system.

Junhua Ding, Peter J. Clarke, Dianxiang Xu, Xudong He, Yi Deng

Multiagent Grid Syst., 2006

A Tool to Automatically Map Implementation-based Testing Techniques to Classes.

Peter J. Clarke, Junhua Ding, Djuradj Babich, Brian A. Malloy

Int. J. Softw. Eng. Knowl. Eng., 2006

2005

Formally modeling and analyzing a secure mobile agent finder.

Junhua Ding, Zhengfan Dai, Jiacun Wang, Xudong He

Proceedings of the IEEE International Conference on Systems, 2005

Design an Interoperable Mobile Agent System Based on Predicate Transition Net Models.

Junhua Ding, Dianxiang Xu, Yi Deng, Peter J. Clarke, Xudong He

Proceedings of the 17th International Conference on Software Engineering and Knowledge Engineering (SEKE'2005), 2005

2004

Formally analyzing software architectural specifications using SAM .

Xudong He, Huiqun Yu, Tianjun Shi, Junhua Ding, Yi Deng

J. Syst. Softw., 2004

2003

A Formal Architectural Model for Logical Agent Mobility.

Dianxiang Xu, Jianwen Yin, Yi Deng, Junhua Ding

IEEE Trans. Software Eng., 2003

2002

Model checking software architecture specifications in SAM.

Xudong He, Junhua Ding, Yi Deng

Proceedings of the 14th international conference on Software engineering and knowledge engineering, 2002

1998

On Open Communication Frameworks for Software Agents.

Hwan Dong, Jun-Hua Ding, Xin Li, Jian Lu

Proceedings of the TOOLS 1998: 27th International Conference on Technology of Object-Oriented Languages and Systems, 1998