Junhua Ding - RankMe

98 papers A* 3A 1B 4C 9Misc 1Journal 34Unranked 45

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A comprehensive survey on medical concept normalization: Datasets, techniques, applications, and future directions. J. Biomed. Informatics Haihua Chen, Yuhan Zhou, Ruochi Li, Aryan Murthy Illa, Ana D. Cleveland, Junhua Ding
2026	A*	`conf`	AdaQE-CG: Adaptive Query Expansion for Web-Scale Generative AI Model and Data Card Generation. WWW Haoxuan Zhang, Ruochi Li, Zhenni Liang, Mehri Sattari, Phat Vo, Collin Qu, Ting Xiao, Junhua Ding, Yang Zhang, Haihua Chen
2026	A*	`conf`	Digital Skin, Digital Bias: Uncovering Tone-Based Biases in LLMs and Emoji Embeddings. WWW Mingchen Li, Wajdi Aljedaani, Yingjie Liu, Navyasri Meka, Xuan Lu, Xinyue Ye, Junhua Ding, Yunhe Feng
2026	—	`conf`	Harmful Factuality: LLMs Correcting What They Shouldn't. EACL (Findings) Mingchen Li, Hanzhi Zhang, Heng Fan, Junhua Ding, Yunhe Feng
2025	—	`conf`	Application of GAI to Empirical Studies: It's High Time to Discuss Challenges and Pitfalls. JCDL Miyoung Chong, Junhua Ding, Chirag Shah, Haihua Chen
2025	—	`conf`	DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting. EMNLP (Findings) Mingchen Li, Heng Fan, Song Fu, Junhua Ding, Yunhe Feng
2025	J	`jnl`	DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting. CoRR Mingchen Li, Heng Fan, Song Fu, Junhua Ding, Yunhe Feng
2025	B	`conf`	Enabling Federated Learning for Object Detection in Connected Autonomous Driving Using YOLO with the Flower Framework. ICCCN Komala Subramanyam Cherukuri, Kewei Sha, Junhua Ding
2025	J	`jnl`	Enhancing data quality in medical concept normalization through large language models. J. Biomed. Informatics Haihua Chen, Ruochi Li, Ana D. Cleveland, Junhua Ding
2025	J	`jnl`	Exploring the influence of regulated learning processes on learners' prestige in project-based learning. Educ. Inf. Technol. Fengjiao Tu, Linjing Wu, Kinshuk, Junhua Ding, Haihua Chen
2025	J	`jnl`	IBID-CCT: A novel model for interdisciplinary breakthrough innovation detection based on the cusp catastrophe theory. Inf. Process. Manag. Zhongyi Wang, Na Wang, Haoxuan Zhang, Zeren Wang, Zhou Wang, Junhua Ding, Haihua Chen
2025	—	`conf`	ReviewGuard: Enhancing Deficient Peer Review Detection via LLM-Driven Data Augmentation. JCDL Haoxuan Zhang, Ruochi Li, Sarthak Shrestha, Shree Harshini Mamidala, Revanth Putta, Arka Krishan Aggarwal, Ting Xiao, Junhua Ding, Haihua Chen
2025	J	`jnl`	ReviewGuard: Enhancing Deficient Peer Review Detection via LLM-Driven Data Augmentation. CoRR Haoxuan Zhang, Ruochi Li, Sarthak Shrestha, Shree Harshini Mamidala, Revanth Putta, Arka Krishan Aggarwal, Ting Xiao, Junhua Ding, Haihua Chen
2025	—	`conf`	Speaking at the Right Level: Literacy-Controlled Counterspeech Generation with RAG-RL. EMNLP (Findings) Xiaoying Song, Anirban Saha Anik, Dibakar Barua, Pengcheng Luo, Junhua Ding, Lingzi Hong
2025	J	`jnl`	Speaking at the Right Level: Literacy-Controlled Counterspeech Generation with RAG-RL. CoRR Xiaoying Song, Anirban Saha Anik, Dibakar Barua, Pengcheng Luo, Junhua Ding, Lingzi Hong
2025	J	`jnl`	The Evolving Role of Large Language Models in Scientific Innovation: Evaluator, Collaborator, and Scientist. CoRR Haoxuan Zhang, Ruochi Li, Yang Zhang, Ting Xiao, Jiangping Chen, Junhua Ding, Haihua Chen
2025	A*	`conf`	Unveiling the Merits and Defects of LLMs in Automatic Review Generation for Scientific Papers. ICDM Ruochi Li, Haoxuan Zhang, Edward F. Gehringer, Ting Xiao, Junhua Ding, Haihua Chen
2025	J	`jnl`	Unveiling the Merits and Defects of LLMs in Automatic Review Generation for Scientific Papers. CoRR Ruochi Li, Haoxuan Zhang, Edward F. Gehringer, Ting Xiao, Junhua Ding, Haihua Chen
2024	J	`jnl`	A Comparative Study of Quality Evaluation Methods for Text Summarization. CoRR Huyen Nguyen, Haihua Chen, Lavanya Pobbathi, Junhua Ding
2024	—	`conf`	A Survey on Data Quality Dimensions and Tools for Machine Learning Invited Paper. AITest Yuhan Zhou, Fengjiao Tu, Kewei Sha, Junhua Ding, Haihua Chen
2024	J	`jnl`	A Survey on Data Quality Dimensions and Tools for Machine Learning. CoRR Yuhan Zhou, Fengjiao Tu, Kewei Sha, Junhua Ding, Haihua Chen
2024	J	`jnl`	Content-based quality evaluation of scientific papers using coarse feature and knowledge entity network. J. King Saud Univ. Comput. Inf. Sci. Zhongyi Wang, Haoxuan Zhang, Haihua Chen, Yunhe Feng, Junhua Ding
2024	—	`conf`	Digital Libraries for Cultural Heritage Data Curation and Stewardship. JCDL Ana Roeschley, Junhua Ding, Huan Xie, Yunfei Du
2024	—	`conf`	Evaluation of Question-Answering Based Text Summarization using LLM Invited Paper. AITest Junhua Ding, Huyen Nguyen, Haihua Chen
2024	J	`jnl`	Exploring and evaluating the index for interdisciplinary breakthrough innovation detection. Electron. Libr. Zhongyi Wang, Xueyao Qiao, Jing Chen, Lina Li, Haoxuan Zhang, Junhua Ding, Haihua Chen
2024	J	`jnl`	GSOT3D: Towards Generic 3D Single Object Tracking in the Wild. CoRR Yifan Jiao, Yunhao Li, Junhua Ding, Qing Yang, Song Fu, Heng Fan, Libo Zhang
2024	—	`conf`	GenFlowchart: Parsing and Understanding Flowchart Using Generative AI. KSEM (1) Abdul Arbaz, Heng Fan, Junhua Ding, Meikang Qiu, Yunhe Feng
2024	—	`conf`	Message From the General Chairs; IEEE AITest 2024. AITest Hong Zhu, Junhua Ding
2024	—	`conf`	Plenary Panel at IEEE CISOSE 2024; Ethical, Societal, and Policy Implications of AI. AITest Monowar Bhuyan, Lingzi Hong, Fanjing Meng, Junhua Ding
2024	—	`conf`	Plenary Panel at IEEE CISOSE 2024; GenAI, Where are You Going? AITest Hong Zhu, Xiaoli Li, Junhua Ding, Emese Bari, Yang Liu
2024	A	`conf`	PreciseDebias: An Automatic Prompt Engineering Approach for Generative AI to Mitigate Image Demographic Biases. WACV Colton Clemmer, Junhua Ding, Yunhe Feng
2023	—	`conf`	An Approach for Ensuring the Privacy in Smart Contracts. QRS Companion Wenqian Zhao, Meghana Patibandla, Junhua Ding
2023	—	`conf`	Bias Analysis in Language Models using An Association Test and Prompt Engineering. QRS Companion Ravi Varma Kumar Bevara, Ting Xiao, Farahnaz Hosseini, Junhua Ding
2023	—	`conf`	Evaluating the Impact of Incentive/Non-incentive Reviews on Customer Decision-making. AITest Kate Kargozari, Junhua Ding, Haihua Chen
2023	C	`conf`	Keyword-based Augmentation Method to Enhance Abstractive Summarization for Legal Documents. ICAIL Huyen Nguyen, Junhua Ding
2023	—	`conf`	Measurement and Identification of Informative Reviews for Automated Summarization. AITest Huyen Nguyen, Haihua Chen, Roopesh Maganti, K. S. M. Tozammel Hossain, Junhua Ding
2023	C	`conf`	Quality Evaluation of Summarization Models for Patent Documents. QRS Junhua Ding, Haihua Chen, Sai Kolapudi, Lavanya Pobbathi, Huyen Nguyen
2023	—	`book`	Smart Computer Vision B. Vinoth Kumar, P. Sivakumar, B. Surendiran, Junhua Ding
2022	—	`conf`	A Quantitative Study of Impact of Incentive to Quality of Software Reviews. DSA Mingwei Tang, Zhiwei Xu, Yuhao Qin, Cui Su, Yi Zhu, Feifei Tao, Junhua Ding
2022	J	`jnl`	A Quantitative Study of Software Reviews Using Content Analysis Methods. IEEE Access Hongyu Zhang, Andrew Yang, Allen Peng, Lavinia Florentina Pieptea, Jian Yang, Junhua Ding
2022	J	`jnl`	A comparative study of automated legal text classification using random forests and deep learning. Inf. Process. Manag. Haihua Chen, Lei Wu, Jiangping Chen, Wei Lu, Junhua Ding
2022	J	`jnl`	Big Four Bank Performance on Facebook and Instagram: An Analysis of Post Engagement. Int. J. Perform. Eng. Ratnam Cheran, Junhua Ding
2022	J	`jnl`	Construction and Evaluation of a High-Quality Corpus for Legal Intelligence Using Semiautomated Approaches. IEEE Trans. Reliab. Haihua Chen, Lavinia Florentina Pieptea, Junhua Ding
2022	J	`jnl`	Data Curation and Quality Evaluation for Machine Learning-Based Cyber Intrusion Detection. IEEE Access Ngan Tran, Haihua Chen, Jay Bhuyan, Junhua Ding
2021	J	`jnl`	A Machine Learning Based Framework for Verification and Validation of Massive Scale Image Data. IEEE Trans. Big Data Junhua Ding, Xin-Hua Hu, Venkat N. Gudivada
2021	J	`jnl`	Data Curation and Quality Assurance for Machine Learning-based Cyber Intrusion Detection. CoRR Haihua Chen, Ngan Tran, Anand Sagar Thumati, Jay Bhuyan, Junhua Ding
2021	J	`jnl`	Data Evaluation and Enhancement for Quality Improvement of Machine Learning. IEEE Trans. Reliab. Haihua Chen, Jiangping Chen, Junhua Ding
2021	J	`jnl`	Effect of Class Imbalance on the Performance of Machine Learning-based Network Intrusion Detection. Int. J. Perform. Eng. Ngan Tran, Haihua Chen, Jiang Janet, Jay Bhuyan, Junhua Ding
2021	—	`conf`	UNTIIA Lab at TREC 2021 - Clinical Trial. TREC Huyen Nguyen, Haihua Chen, Bhanu Prasad, Huanhuan Zhao, Junhua Ding, Jiangping Chen, Ana D. Cleveland
2021	J	`jnl`	Using latent features for building an interpretable recommendation system. Electron. Libr. Ziming Zeng, Yu Shi, Lavinia Florentina Pieptea, Junhua Ding
2020	—	`conf`	An Experience Report for Running an REU Program in an iSchool. iConference Junhua Ding, Jiangping Chen, Alexis Palmer, Daniella LaShaun Smith
2020	C	`conf`	Data Evaluation and Enhancement for Quality Improvement of Machine Learning. QRS Haihua Chen, Jiangping Chen, Junhua Ding
2020	—	`conf`	SALKG: A Semantic Annotation System for Building a High-quality Legal Knowledge Graph. IEEE BigData Mingwei Tang, Cui Su, Haihua Chen, Jingye Qu, Junhua Ding
2019	J	`jnl`	A Case Study of the Augmentation and Evaluation of Training Data for Deep Learning. ACM J. Data Inf. Qual. Junhua Ding, Xinchuan Li, Xiaojun Kang, Venkat N. Gudivada
2019	—	`conf`	A Practical Framework for Evaluating the Quality of Knowledge Graph. CCKS Haihua Chen, Gaohui Cao, Jiangping Chen, Junhua Ding
2019	J	`jnl`	An approach for computing routes without complicated decision points in landmark-based pedestrian navigation. Int. J. Geogr. Inf. Sci. Sha Zhou, Run Wang, Junhua Ding, Xiaofang Pan, Shunping Zhou, Fang Fang, Wenjie Zhen
2019	C	`conf`	Testing Scientific Software with Invariant Relations: A Case Study. QRS Junhua Ding, Xinchuan Li, Xin-Hua Hu
2018	—	`conf`	An Approach for Validating Quality of Datasets for Machine Learning. IEEE BigData Junhua Ding, Xinchuan Li
2017	B	`conf`	An approach for detecting groundwater runoff connectivity using cluster analysis. SMC Xiaojun Kang, Xuguang Zhao, Caixia Guo, Junhua Ding
2017	J	`jnl`	Application of metamorphic testing monitored by test adequacy in a Monte Carlo simulation program. Softw. Qual. J. Junhua Ding, Xin-Hua Hu
2017	—	`conf`	Augmentation and evaluation of training data for deep learning. IEEE BigData Junhua Ding, Xinchuan Li, Venkat N. Gudivada
2017	—	`conf`	Building a Deep Learning Classifier for Enhancing a Biomedical Big Data Service. SCC Junhua Ding, Xiaojun Kang, Xin-Hua Hu, Venkat N. Gudivada
2017	—	`conf`	Building an SVM Classifier for Automated Selection of Big Data. BigData Congress Junhua Ding, Jiabin Wang, Xiaojun Kang, Xin-Hua Hu
2017	—	`conf`	Combinatorial Methods of Feature Selection for Cell Image Classification. QRS Companion Sergiy Vilkomir, Jiabin Wang, Nam Le Thai, Junhua Ding
2017	J	`jnl`	Pattern recognition and classification of two cancer cell lines by diffraction imaging at multiple pixel distances. Pattern Recognit. He Wang, Yuanming Feng, Yu Sa, Jun Q. Lu, Junhua Ding, Jun Zhang, Xin-Hua Hu
2017	—	`conf`	Validating a Deep Learning Framework by Metamorphic Testing. MET@ICSE Junhua Ding, Xiaojun Kang, Xin-Hua Hu
2016	—	`conf`	A Framework for Ensuring the Quality of a Big Data Service. SCC Junhua Ding, Dongmei Zhang, Xin-Hua Hu
2016	C	`conf`	A Machine Learning Approach for Developing Test Oracles for Testing Scientific Software. SEKE Junhua Ding, Dongmei Zhang
2016	B	`conf`	An Approach for Iteratively Generating Adequate Tests in Metamorphic Testing: A Case Study. COMPSAC Junhua Ding, Dongmei Zhang
2016	—	`conf`	An application of metamorphic testing for testing scientific software. MET@ICSE Junhua Ding, Dongmei Zhang, Xin-Hua Hu
2016	—	`conf`	An approach for modeling and analyzing dynamic software architectures. ICNC-FSKD Junhua Ding
2016	—	`conf`	An empirical study of parallel solutions for GLCM calculation of diffraction images. EMBC John Dixon, Junhua Ding
2015	—	`conf`	Feature Selection and Analysis of Diffraction Images. QRS Companion Sai Kiran Thati, Junhua Ding, Dongmei Zhang, Xin-Hua Hu
2015	C	`conf`	Modeling and Analyzing Publish Subscribe Architcture using Petri Nets. SEKE Junhua Ding, Dongmei Zhang
2014	—	`conf`	Development of a novel cryptography tool for personal communication. ICNSC Rober Grimes, Junhua Ding
2014	—	`conf`	Self-guided learning environment for undergraduate software engineering. CSEE&T Junhua Ding
2013	—	`conf`	A framework for global collaboration in teaching software engineering. CTGDSD@ICSE Junhua Ding
2013	—	`conf`	An approach for modeling and analyzing the communication protocols in a telemedicine system. BMEI Junhua Ding, Dongmei Zhang
2013	—	`conf`	Undergraduates and research: Motivations, challenges, and the path forward. CSEE&T W. Eric Wong, Junhua Ding, Gene Fiorini, Christian K. Hansen
2012	—	`conf`	Enforcement of Role Based Access Control in Social Network Environments. SERE (Companion) Junhua Ding, Lian Mo
2012	—	`conf`	Teaching software engineering with global understanding. CTGDSD@ICSE Junhua Ding, Biwu Yang
2011	—	`conf`	Development of North Carolina's first Software Engineering program: An experience report. CSEE&T Mohammad H. N. Tabrizi, Sergiy Vilkomir, Junhua Ding
2011	—	`conf`	Metamorphic testing of a Monte Carlo modeling program. AST@ICSE Junhua Ding, Tong Wu, Dianxiang Xu, Jun Q. Lu, Xin-Hua Hu
2010	C	`conf`	Designing Aspects with Use Cases: A Case Study. SEKE Junhua Ding, Christopher R. Westbrook, Mohammad H. N. Tabrizi
2010	J	`jnl`	Formal Specification and Analysis of an Agent-Based Medical Image Processing System. Int. J. Softw. Eng. Knowl. Eng. Junhua Ding, Xudong He
2009	J	`jnl`	A methodology for evaluating test coverage criteria of high levelPetri nets. Inf. Softw. Technol. Junhua Ding, Peter J. Clarke, Gonzalo Argote-Garcia, Xudong He
2009	—	`conf`	An Approach for Modeling and Analyzing Crosscutting Concerns. SOLI Yujian Fu, Junhua Ding, Phil Bording
2008	Misc	`conf`	An approach for specification construction using property-preserving refinement patterns. SAC Junhua Ding, Lian Mo, Xudong He
2008	—	`conf`	Evaluating Test Adequacy Coverage of High Level Petri Nets Using Spin. AST@ICSE Junhua Ding, Gonzalo Argote-Garcia, Peter J. Clarke, Xudong He
2008	—	`conf`	Identifying Factors that Improve the Predictive Quality of BMI for Health Status. BIOCOMP M. L. D. Ponce, Junhua Ding, Mohammad H. N. Tabrizi
2008	—	`conf`	Modeling and Model Checking of a Clinical Diagnostic Algorithm. ICNSC Junhua Ding, Mohammad H. N. Tabrizi
2006	J	`jnl`	A Tool to Automatically Map Implementation-based Testing Techniques to Classes. Int. J. Softw. Eng. Knowl. Eng. Peter J. Clarke, Junhua Ding, Djuradj Babich, Brian A. Malloy
2006	J	`jnl`	A formal model-based approach for developing an interoperable mobile agent system. Multiagent Grid Syst. Junhua Ding, Peter J. Clarke, Dianxiang Xu, Xudong He, Yi Deng
2005	C	`conf`	Design an Interoperable Mobile Agent System Based on Predicate Transition Net Models. SEKE Junhua Ding, Dianxiang Xu, Yi Deng, Peter J. Clarke, Xudong He
2005	B	`conf`	Formally modeling and analyzing a secure mobile agent finder. SMC Junhua Ding, Zhengfan Dai, Jiacun Wang, Xudong He
2004	J	`jnl`	Formally analyzing software architectural specifications using SAM . J. Syst. Softw. Xudong He, Huiqun Yu, Tianjun Shi, Junhua Ding, Yi Deng
2003	J	`jnl`	A Formal Architectural Model for Logical Agent Mobility. IEEE Trans. Software Eng. Dianxiang Xu, Jianwen Yin, Yi Deng, Junhua Ding
2002	C	`conf`	Model checking software architecture specifications in SAM. SEKE Xudong He, Junhua Ding, Yi Deng