Junda Wang

40 papers A* 2B 1C 1Journal 29Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bayesian forward regularization replacing Ridge in online randomized neural network with multiple output layers.
Pattern Recognit.
Junda Wang, Minghui Hu, Ning Li, Ponnuthurai Nagaratnam Suganthan
2026 A* conf
ChatCLIDS: Simulating Persuasive AI Dialogues to Promote Closed-Loop Insulin Adoption in Type 1 Diabetes Care.
AAAI
Zonghai Yao, Talha Chafekar, Junda Wang, Shuo Han, Feiyun Ouyang, Junhui Qian, Lingxi Li, Hong Yu
2026 J jnl
ESTAR: Early-Stopping Token-Aware Reasoning For Efficient Inference.
CoRR
Junda Wang, Zhichao Yang, Dongxu Zhang, Sanjit Singh Batra, Robert E. Tillman
2026 J jnl
Incremental Online Learning of Randomized Neural Network With Forward Regularization.
IEEE Trans. Pattern Anal. Mach. Intell.
Junda Wang, Minghui Hu, Ning Li, Abdulaziz Alali, Ponnuthurai Nagaratnam Suganthan
2026 — conf
MedQA-CS: Objective Structured Clinical Examination (OSCE)-Style Benchmark for Evaluating LLM Clinical Skills.
EACL (Volume 1: Long Papers)
Zonghai Yao, Zihao Zhang, Chaolong Tang, Xingyu Bian, Youxia Zhao, Zhichao Yang, Junda Wang, Huixue Zhou, Won Seok Jang, Feiyun Ouyang, Hong Yu
2026 J jnl
TARSE: Test-Time Adaptation via Retrieval of Skills and Experience for Reasoning Agents.
CoRR
Junda Wang, Zonghai Tao, Hansi Zeng, Zhichao Yang, Hamed Zamani, Hong Yu
2025 C conf
Adaptive Model Partitioning for Distributed LLM Inference Across Heterogeneous Devices.
EUC
Junda Wang, Zhaoyang Li, Qianqian Yang, Jing Li, Xiaoqiang Zhao, Wenbo Zhang
2025 J jnl
ChatCLIDS: Simulating Persuasive AI Dialogues to Promote Closed-Loop Insulin Adoption in Type 1 Diabetes Care.
CoRR
Zonghai Yao, Talha Chafekar, Junda Wang, Shuo Han, Feiyun Ouyang, Junhui Qian, Lingxi Li, Hong Yu
2025 J jnl
ChatThero: An LLM-Supported Chatbot for Behavior Change and Therapeutic Support in Addiction Recovery.
CoRR
Junda Wang, Zonghai Yao, Zhichao Yang, Lingxi Li, Junhui Qian, Hong Yu
2025 A* conf
From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations.
EMNLP
Benlu Wang, Iris Xia, Yifan Zhang, Junda Wang, Feiyun Ouyang, Shuo Han, Arman Cohan, Hong Yu, Zonghai Yao
2025 J jnl
From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations.
CoRR
Benlu Wang, Iris Xia, Yifan Zhang, Junda Wang, Feiyun Ouyang, Shuo Han, Arman Cohan, Hong Yu, Zonghai Yao
2025 — conf
LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models.
EMNLP (Industry Track)
Hieu Tran, Junda Wang, Yujan Ting, Hong Yu, Weijing Huang, Terrence Chen
2025 — conf
RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models.
ACL (1)
Hieu Tran, Zonghai Yao, Zhichao Yang, Junda Wang, Yifan Zhang, Shuo Han, Feiyun Ouyang, Hong Yu
2025 J jnl
Randomized Neural Network with Adaptive Forward Regularization for Online Task-free Class Incremental Learning.
CoRR
Junda Wang, Minghui Hu, Ning Li, Abdulaziz Khalid Al-Ali, Ponnuthurai Nagaratnam Suganthan
2024 B conf
CRTRE: Causal Rule Generation with Target Trial Emulation Framework.
IEEE Big Data
Junda Wang, Weijian Li, Han Wang, Hanjia Lyu, Caroline Thirukumaran, Addisu Mesfin, Hong Yu, Jiebo Luo
2024 J jnl
CRTRE: Causal Rule Generation with Target Trial Emulation Framework.
CoRR
Junda Wang, Weijian Li, Han Wang, Hanjia Lyu, Caroline Thirukumaran, Addisu Mesfin, Hong Yu, Jiebo Luo
2024 J jnl
Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors.
CoRR
Yuefeng Peng, Junda Wang, Hong Yu, Amir Houmansadr
2024 J jnl
Incremental Online Learning of Randomized Neural Network with Forward Regularization.
CoRR
Junda Wang, Minghui Hu, Ning Li, Abdulaziz K. Al-Ali, Ponnuthurai Nagaratnam Suganthan
2024 J jnl
JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability.
CoRR
Junda Wang, Zhichao Yang, Zonghai Yao, Hong Yu
2024 J jnl
LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models.
CoRR
Hieu Tran, Junda Wang, Yujan Ting, Weijing Huang, Terrence Chen
2024 J jnl
MedQA-CS: Benchmarking Large Language Models Clinical Skills Using an AI-SCE Framework.
CoRR
Zonghai Yao, Zihao Zhang, Chaolong Tang, Xingyu Bian, Youxia Zhao, Zhichao Yang, Junda Wang, Huixue Zhou, Won Seok Jang, Feiyun Ouyang, Hong Yu
2024 — conf
NoteChat: A Dataset of Synthetic Patient-Physician Conversations Conditioned on Clinical Notes.
ACL (Findings)
Junda Wang, Zonghai Yao, Zhichao Yang, Huixue Zhou, Rumeng Li, Xun Wang, Yucheng Xu, Hong Yu
2024 J jnl
RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models.
CoRR
Hieu Tran, Zonghai Yao, Junda Wang, Yifan Zhang, Zhichao Yang, Hong Yu
2024 J jnl
SemiHVision: Enhancing Medical Multimodal Models with a Semi-Human Annotated Dataset and Fine-Tuned Instruction Generation.
CoRR
Junda Wang, Yujan Ting, Eric Z. Chen, Hieu Tran, Hong Yu, Weijing Huang, Terrence Chen
2024 — conf
UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt - A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis.
ClinicalNLP@NAACL
Parth Vashisht, Abhilasha Lodha, Mukta Maddipatla, Zonghai Yao, Avijit Mitra, Zhichao Yang, Sunjae Kwon, Junda Wang, Hong Yu
2024 J jnl
UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt - A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis.
CoRR
Parth Vashisht, Abhilasha Lodha, Mukta Maddipatla, Zonghai Yao, Avijit Mitra, Zhichao Yang, Junda Wang, Sunjae Kwon, Hong Yu
2023 J jnl
A diversity-based parallel particle swarm optimization for nonconvex economic dispatch problem.
Trans. Inst. Meas. Control
Jinghao Xin, Liying Yu, Junda Wang, Ning Li
2023 J jnl
NoteChat: A Dataset of Synthetic Doctor-Patient Conversations Conditioned on Clinical Notes.
CoRR
Junda Wang, Zonghai Yao, Zhichao Yang, Huixue Zhou, Rumeng Li, Xun Wang, Yucheng Xu, Hong Yu
2023 J jnl
Randomization-based neural networks for image-based wind turbine fault diagnosis.
Eng. Appl. Artif. Intell.
Junda Wang, Yang Yang, Ning Li
2023 J jnl
TLFND: A Multimodal Fusion Model Based on Three-Level Feature Matching Distance for Fake News Detection.
Entropy
Junda Wang, Jeffrey Z. J. Zheng, Shaowen Yao, Rui Wang, Hong Du
2023 — conf
UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations?
ClinicalNLP@ACL
Junda Wang, Zonghai Yao, Avijit Mitra, Samuel Osebe, Zhichao Yang, Hong Yu
2023 J jnl
UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations?
CoRR
Junda Wang, Zonghai Yao, Avijit Mitra, Samuel Osebe, Zhichao Yang, Hong Yu
2022 J jnl
Causal Inference via Nonlinear Variable Decorrelation for Healthcare Applications.
CoRR
Junda Wang, Weijian Li, Han Wang, Hanjia Lyu, Caroline Thirukumaran, Addisu Mesfin, Jiebo Luo
2022 — conf
Determining the Sampling Size with Maintaining the Probability Distribution.
NCTCS
Jiaoyun Yang, Zhenyu Ren, Junda Wang, Lian Li
2022 J jnl
How COVID-19 Has Changed Crowdfunding: Evidence From GoFundMe.
Frontiers Comput. Sci.
Junda Wang, Jiebo Luo, Xupin Zhang
2022 J jnl
Online health assessment and fault prediction for wind turbine generator.
J. Syst. Control. Eng.
Junda Wang, Jing Zhang, Na Jiang, Na Song, Jinghao Xin, Ning Li
2021 J jnl
ADS-Net: An Attention-Based deeply supervised network for remote sensing image change detection.
Int. J. Appl. Earth Obs. Geoinformation
Decheng Wang, Xiangning Chen, Mingyong Jiang, Shuhan Du, Bijie Xu, Junda Wang
2021 J jnl
How COVID-19 Have Changed Crowdfunding: Evidence From GoFundMe.
CoRR
Junda Wang, Xupin Zhang, Jiebo Luo
2020 J jnl
Social Media Study of Public Opinions on Potential COVID-19 Vaccines: Informing Dissent, Disparities, and Dissemination.
CoRR
Hanjia Lyu, Junda Wang, Wei Wu, Viet Duong, Xiyang Zhang, Jiebo Luo
2019 J jnl
A Novel Broad Learning System Based Leakage Detection and Universal Localization Method for Pipeline Networks.
IEEE Access
Dazhong Ma, Junda Wang, Qiuye Sun, Xuguang Hu