Junda Wang

According to our database, Junda Wang authored at least 35 papers between 2019 and 2026.

Collaborative distances:

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

2026

Incremental Online Learning of Randomized Neural Network With Forward Regularization.

Junda Wang, Minghui Hu, Ning Li, Abdulaziz Alali, Ponnuthurai Nagaratnam Suganthan

IEEE Trans. Pattern Anal. Mach. Intell., May, 2026

Medical thinking with multiple images.

Zonghai Yao, Benlu Wang, Yifan Zhang, Junda Wang, Iris Xia, Zhipeng Tang, Shuo Han, Feiyun Ouyang, Zhichao Yang, Arman Cohan, Hong Yu

CoRR, April, 2026

TARSE: Test-Time Adaptation via Retrieval of Skills and Experience for Reasoning Agents.

Junda Wang, Zonghai Tao, Hansi Zeng, Zhichao Yang, Hamed Zamani, Hong Yu

CoRR, March, 2026

ESTAR: Early-Stopping Token-Aware Reasoning For Efficient Inference.

Junda Wang, Zhichao Yang, Dongxu Zhang, Sanjit Singh Batra, Robert E. Tillman

CoRR, February, 2026

Bayesian forward regularization replacing Ridge in online randomized neural network with multiple output layers.

Junda Wang, Minghui Hu, Ning Li, Ponnuthurai Nagaratnam Suganthan

Pattern Recognit., 2026

MedQA-CS: Objective Structured Clinical Examination (OSCE)-Style Benchmark for Evaluating LLM Clinical Skills.

Zonghai Yao, Zihao Zhang, Chaolong Tang, Xingyu Bian, Youxia Zhao, Zhichao Yang, Junda Wang, Huixue Zhou, Won Seok Jang, Feiyun Ouyang, Hong Yu

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

ChatCLIDS: Simulating Persuasive AI Dialogues to Promote Closed-Loop Insulin Adoption in Type 1 Diabetes Care.

Zonghai Yao, Talha Chafekar, Junda Wang, Shuo Han, Feiyun Ouyang, Junhui Qian, Lingxi Li, Hong Yu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Randomized Neural Network with Adaptive Forward Regularization for Online Task-free Class Incremental Learning.

Junda Wang, Minghui Hu, Ning Li, Abdulaziz Khalid Al-Ali, Ponnuthurai Nagaratnam Suganthan

CoRR, October, 2025

ChatThero: An LLM-Supported Chatbot for Behavior Change and Therapeutic Support in Addiction Recovery.

Junda Wang, Zonghai Yao, Zhichao Yang, Lingxi Li, Junhui Qian, Hong Yu

CoRR, August, 2025

Adaptive Model Partitioning for Distributed LLM Inference Across Heterogeneous Devices.

Junda Wang, Zhaoyang Li, Qianqian Yang, Jing Li, Xiaoqiang Zhao, Wenbo Zhang

Proceedings of the 23rd IEEE International Conference on Embedded and Ubiquitous Computing, 2025

From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations.

Benlu Wang, Iris Xia, Yifan Zhang, Junda Wang, Feiyun Ouyang, Shuo Han, Arman Cohan, Hong Yu, Zonghai Yao

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models.

Hieu Tran, Junda Wang, Yujan Ting, Hong Yu, Weijing Huang, Terrence Chen

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models.

Hieu Tran, Zonghai Yao, Zhichao Yang, Junda Wang, Yifan Zhang, Shuo Han, Feiyun Ouyang, Hong Yu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models.

Hieu Tran, Zonghai Yao, Junda Wang, Yifan Zhang, Zhichao Yang, Hong Yu

CoRR, 2024

Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors.

Yuefeng Peng, Junda Wang, Hong Yu, Amir Houmansadr

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

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, Weijing Huang, Terrence Chen

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, Junda Wang, Huixue Zhou, Won Seok Jang, Feiyun Ouyang, Hong Yu

CoRR, 2024

JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability.

Junda Wang, Zhichao Yang, Zonghai Yao, Hong Yu

CoRR, 2024

CRTRE: Causal Rule Generation with Target Trial Emulation Framework.

Junda Wang, Weijian Li, Han Wang, Hanjia Lyu, Caroline Thirukumaran, Addisu Mesfin, Hong Yu, Jiebo Luo

Proceedings of the IEEE International Conference on Big Data, 2024

NoteChat: A Dataset of Synthetic Patient-Physician Conversations Conditioned on Clinical Notes.

Junda Wang, Zonghai Yao, Zhichao Yang, Huixue Zhou, Rumeng Li, Xun Wang, Yucheng Xu, Hong Yu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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, Sunjae Kwon, Junda Wang, Hong Yu

Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

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, Rui Wang, Hong Du

Entropy, November, 2023

Randomization-based neural networks for image-based wind turbine fault diagnosis.

Junda Wang, Yang Yang, Ning Li

Eng. Appl. Artif. Intell., May, 2023

A diversity-based parallel particle swarm optimization for nonconvex economic dispatch problem.

Jinghao Xin, Liying Yu, Junda Wang, Ning Li

Trans. Inst. Meas. Control, February, 2023

NoteChat: A Dataset of Synthetic Doctor-Patient Conversations Conditioned on Clinical Notes.

Junda Wang, Zonghai Yao, Zhichao Yang, Huixue Zhou, Rumeng Li, Xun Wang, Yucheng Xu, Hong Yu

CoRR, 2023

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, Hong Yu

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022

Online health assessment and fault prediction for wind turbine generator.

Junda Wang, Jing Zhang, Na Jiang, Na Song, Jinghao Xin, Ning Li

J. Syst. Control. Eng., 2022

How COVID-19 Has Changed Crowdfunding: Evidence From GoFundMe.

Junda Wang, Jiebo Luo, Xupin Zhang

Frontiers Comput. Sci., 2022

Causal Inference via Nonlinear Variable Decorrelation for Healthcare Applications.

Junda Wang, Weijian Li, Han Wang, Hanjia Lyu, Caroline Thirukumaran, Addisu Mesfin, Jiebo Luo

CoRR, 2022

Determining the Sampling Size with Maintaining the Probability Distribution.

Jiaoyun Yang, Zhenyu Ren, Junda Wang, Lian Li

Proceedings of the Theoretical Computer Science - 40th National Conference, 2022

2021

How COVID-19 Have Changed Crowdfunding: Evidence From GoFundMe.

Junda Wang, Xupin Zhang, Jiebo Luo

CoRR, 2021

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

2020

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, Jiebo Luo

CoRR, 2020

2019

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