A Novel Broad Learning System Based Leakage Detection and Universal Localization Method for Pipeline Networks. - Dazhong Ma; Junda Wang; Qiuye Sun; Xuguang Hu (IEEE Access, 2019)

Social Media Study of Public Opinions on Potential COVID-19 Vaccines: Informing Dissent, Disparities, and Dissemination. - Hanjia Lyu; Junda Wang; Wei Wu; Viet Duong; Xiyang Zhang 001; Jiebo Luo 001 (CoRR, 2020)

ADS-Net: An Attention-Based deeply supervised network for remote sensing image change detection. - Decheng Wang; Xiangning Chen; Mingyong Jiang; Shuhan Du; Bijie Xu; Junda Wang (Int. J. Appl. Earth Obs. Geoinformation, 2021)

How COVID-19 Have Changed Crowdfunding: Evidence From GoFundMe. - Junda Wang; Xupin Zhang; Jiebo Luo 001 (CoRR, 2021)

Determining the Sampling Size with Maintaining the Probability Distribution. - Jiaoyun Yang; Zhenyu Ren; Junda Wang; Lian Li 003 (NCTCS, 2022)

Causal Inference via Nonlinear Variable Decorrelation for Healthcare Applications. - Junda Wang; Weijian Li 001; Han Wang; Hanjia Lyu; Caroline Thirukumaran; Addisu Mesfin; Jiebo Luo 001 (CoRR, 2022)

How COVID-19 Has Changed Crowdfunding: Evidence From GoFundMe. - Junda Wang; Jiebo Luo 001; Xupin Zhang (Frontiers Comput. Sci., 2022)

Online health assessment and fault prediction for wind turbine generator. - Junda Wang; Jing Zhang; Na Jiang; Na Song; Jinghao Xin; Ning Li 008 (J. Syst. Control. Eng., 2022)

UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations? - Junda Wang; Zonghai Yao; Avijit Mitra; Samuel Osebe; Zhichao Yang 001; Hong Yu 001 (ClinicalNLP@ACL, 2023)

NoteChat: A Dataset of Synthetic Doctor-Patient Conversations Conditioned on Clinical Notes. - Junda Wang; Zonghai Yao; Zhichao Yang 001; Huixue Zhou; Rumeng Li; Xun Wang; Yucheng Xu; Hong Yu 001 (CoRR, 2023)

A diversity-based parallel particle swarm optimization for nonconvex economic dispatch problem. - Jinghao Xin; Liying Yu; Junda Wang; Ning Li 008 (Trans. Inst. Meas. Control, 2023)

Randomization-based neural networks for image-based wind turbine fault diagnosis. - Junda Wang; Yang Yang; Ning Li 008 (Eng. Appl. Artif. Intell., 2023)

TLFND: A Multimodal Fusion Model Based on Three-Level Feature Matching Distance for Fake News Detection. - Junda Wang; Jeffrey Z. J. Zheng; Shaowen Yao 001; Rui Wang; Hong Du (Entropy, 2023)

UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt - A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis. - Parth Vashisht; Abhilasha Lodha; Mukta Maddipatla; Zonghai Yao; Avijit Mitra; Zhichao Yang 001; Sunjae Kwon; Junda Wang; Hong Yu 001 (ClinicalNLP@NAACL, 2024)

NoteChat: A Dataset of Synthetic Patient-Physician Conversations Conditioned on Clinical Notes. - Junda Wang; Zonghai Yao; Zhichao Yang 001; Huixue Zhou; Rumeng Li; Xun Wang; Yucheng Xu; Hong Yu 001 (ACL (Findings), 2024)

CRTRE: Causal Rule Generation with Target Trial Emulation Framework. - Junda Wang; Weijian Li 001; Han Wang; Hanjia Lyu; Caroline Thirukumaran; Addisu Mesfin; Hong Yu; Jiebo Luo 001 (IEEE Big Data, 2024)

JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability. - Junda Wang; Zhichao Yang 001; Zonghai Yao; Hong Yu 001 (CoRR, 2024)

MedQA-CS: Benchmarking Large Language Models Clinical Skills Using an AI-SCE Framework. - Zonghai Yao; Zihao Zhang; Chaolong Tang; Xingyu Bian; Youxia Zhao; Zhichao Yang 001; Junda Wang; Huixue Zhou; Won Seok Jang; Feiyun Ouyang; Hong Yu 001 (CoRR, 2024)

SemiHVision: Enhancing Medical Multimodal Models with a Semi-Human Annotated Dataset and Fine-Tuned Instruction Generation. - Junda Wang; Yujan Ting; Eric Z. Chen; Hieu Tran; Hong Yu 001; Weijing Huang; Terrence Chen (CoRR, 2024)

LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models. - Hieu Tran; Junda Wang; Yujan Ting; Weijing Huang; Terrence Chen (CoRR, 2024)

Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors. - Yuefeng Peng; Junda Wang; Hong Yu 001; Amir Houmansadr (CoRR, 2024)

RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models. - Hieu Tran; Zonghai Yao; Junda Wang; Yifan Zhang; Zhichao Yang 001; Hong Yu 001 (CoRR, 2024)

Incremental Online Learning of Randomized Neural Network with Forward Regularization. - Junda Wang; Minghui Hu 001; Ning Li; Abdulaziz K. Al-Ali; Ponnuthurai Nagaratnam Suganthan (CoRR, 2024)

RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models. - Hieu Tran; Zonghai Yao; Zhichao Yang 001; Junda Wang; Yifan Zhang; Shuo Han; Feiyun Ouyang; Hong Yu 001 (ACL (1), 2025)

Bayesian forward regularization replacing Ridge in online randomized neural network with multiple output layers. - Junda Wang; Minghui Hu 001; Ning Li; Ponnuthurai Nagaratnam Suganthan (Pattern Recognit., 2026)