Junwei Kuang

16 papers C 3Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
A two-stage multi-task learning model for predicting and interpreting received answers in online mental health communities.
Expert Syst. Appl.
Qiuju Yin, Liang Yang, Junwei Kuang, Zhijun Yan
2025 J jnl
An interpretable imbalance ensemble classification method for readmission risk assessment incorporating multi-view perturbation and SHAP analysis.
Decis. Support Syst.
Shaoze Cui, Ruize Gao, Junwei Kuang, Liang Yang, Huaxin Qiu, Xiaowen Wei
2025 J jnl
Interpretable information fusion and small sample dataset expansion in power system anomaly detection based on artificial intelligence algorithms.
Int. J. Inf. Sec.
Junhao Zhang, Junwei Kuang, Yufei Teng, Siyu Xiang, Shengjie Li
2025 — conf
Protecting Children from Violent Short Videos: A Child-Attentive Multimodal Multitask Learning Approach.
PACIS
Chenxing Zhao, Liang Yang, Junwei Kuang, Zhijun Yan
2025 J jnl
Suicide risk prediction for users with depression in question answering communities: A design based on deep learning.
Inf. Manag.
Haoyue Fan, Qiuju Yin, Junwei Kuang, Zhijun Yan
2025 J jnl
Understanding Social Support Needs in Questions: A Hybrid Approach Integrating Semi-Supervised Learning and LLM-based Data Augmentation.
CoRR
Junwei Kuang, Liang Yang, Shaoze Cui, Weiguo Fan
2024 J jnl
A Lightweight and Efficient Multi-Type Defect Detection Method for Transmission Lines Based on DCP-YOLOv8.
Sensors
Yong Wang, Linghao Zhang, Xingzhong Xiong, Junwei Kuang, Siyu Xiang
2024 C conf
Does the Night Give Power? Social Media Depression and Its Symptom Detection Considering Temporal Patterns.
ICIS
Liang Yang, Qiuju Yin, Zhijun Yan, Shaoze Cui, Junwei Kuang
2024 C conf
Understanding Social Support Needs in Health Question: An Answer-Enhanced Semi-Supervised Deep Learning Approach.
ICIS
Junwei Kuang, Liang Yang, Shaoze Cui, Weiguo Fan
2024 — conf
What Symptoms and How Long? An Interpretable AI Approach for Depression Detection in Social Media.
HICSS
Junwei Kuang, Jiaheng Xie, Zhijun Yan
2023 — conf
Suicide Risk Prediction for Users with Depression in Question Answering Communities: A Design Based on Deep Learning.
PACIS
Haoyue Fan, Qiuju Yin, Zhijun Yan, Junwei Kuang
2023 C conf
What Symptoms and How Long? An Interpretable AI Approach for Depression Detection in Social Media.
ICIS
Junwei Kuang, Jiaheng Xie, Zhijun Yan
2023 J jnl
What Symptoms and How Long? An Interpretable AI Approach for Depression Detection in Social Media.
CoRR
Junwei Kuang, Jiaheng Xie, Zhijun Yan
2022 — conf
More User Engagement in Online Community: Effects of Posting and Replying Behaviors on Detection of Depression.
PACIS
Junwei Kuang, Zhijun Yan, Shiwei Sun
2019 J jnl
Dynamic prediction of cardiovascular disease using improved LSTM.
Int. J. Crowd Sci.
Junwei Kuang, Hangzhou Yang, Junjiang Liu, Zhijun Yan
2018 — conf
The Impact of Penetration Rate of Online Health Service on Service Quality and Price: Evidence from Online Health Communities.
ICCSE
Junwei Kuang, Lini Kuang, Zhijun Yan