Jiaheng Xie - RankMe

37 papers C 6Journal 22Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Bayesian Hybrid Parameter-Efficient Fine-Tuning Method for Large Language Models. CoRR Yidong Chai, Yang Liu, Yonghang Zhou, Jiaheng Xie, Daniel Dajun Zeng
2025	—	`conf`	Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoT. HICSS Jiaheng Xie, Xiaohang Zhao, Xiang Liu, Xiao Fang
2025	J	`jnl`	Collaborative Management for Chronic Diseases and Depression: A Double Heterogeneity-based Multi-Task Learning Method. CoRR Yidong Chai, Haoxin Liu, Jiaheng Xie, Chaopeng Wang, Xiao Fang
2025	J	`jnl`	From Detection to Discovery: A Closed-Loop Approach for Simultaneous and Continuous Medical Knowledge Expansion and Depression Detection on Social Media. CoRR Shuang Geng, Wenli Zhang, Jiaheng Xie, Rui Wang, Sudha Ram
2025	C	`conf`	Probing Empathetic Dialogue for Mental Health Support: An Emotional Intelligence-enhanced Multi-agent Reinforcement Learning Approach. ICIS Liang Yang, Jiaheng Xie, Qiuju Yin, Zhijun Yan, Yimeng Dong, Yangzi Lin
2025	J	`jnl`	When Experts Speak:Sequential LLM-Bayesian Learning for Startup Success Prediction. CoRR Yidong Chai, Yanguang Liu, Xuan Tian, Jiaheng Xie, Yonghang Zhou
2024	J	`jnl`	Depression Detection Using Digital Traces on Social Media: A Knowledge-aware Deep Learning Approach. J. Manag. Inf. Syst. Wenli Zhang, Jiaheng Xie, Zhu (Drew) Zhang, Xiang Liu
2024	J	`jnl`	Detecting Fake News on Social Media: A Novel Reliability Aware Machine-Crowd Hybrid Intelligence-Based Method. CoRR Yidong Chai, Kangwei Shi, Jiaheng Xie, Chunli Liu, Yuanchun Jiang, Ye-Zheng Liu
2024	J	`jnl`	Enhancing gender equity in resume job matching via debiasing-assisted deep generative model and gender-weighted sampling. Int. J. Inf. Manag. Data Insights Swati Tyagi, Anuj Anuj, Wei Qian, Jiaheng Xie, Rick Andrews
2024	J	`jnl`	Few-Shot Learning for Chronic Disease Management: Leveraging Large Language Models and Multi-Prompt Engineering with Medical Knowledge Injection. CoRR Haoxin Liu, Wenli Zhang, Jiaheng Xie, Buomsoo Kim, Zhu Zhang, Yidong Chai
2024	C	`conf`	Predicting Consultation Success in Online Health Platforms Using Dynamic Knowledge Graphs and Multimodal Data Fusion. ICIS Wenli Zhang, Shuang Geng, Jiaheng Xie, Gemin Liang, Ben Niu, Sudha Ram
2024	J	`jnl`	Short-Form Videos and Mental Health: A Knowledge-Guided Neural Topic Model. CoRR Jiaheng Xie, Ruicheng Liang, Yidong Chai, Yang Liu, Daniel Zeng
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	J	`jnl`	Depression Detection Using Digital Traces on Social Media: A Knowledge-aware Deep Learning Approach. CoRR Wenli Zhang, Jiaheng Xie, Xiang Liu, Zhu Zhang
2023	J	`jnl`	Patient Dropout Prediction in Virtual Health: A Multimodal Dynamic Knowledge Graph and Text Mining Approach. CoRR Shuang Geng, Wenli Zhang, Jiaheng Xie, Gemin Liang, Ben Niu
2023	J	`jnl`	Prediction of the Number of Cumulative Pulses Based on the Photon Statistical Entropy Evaluation in Photon-Counting LiDAR. Entropy Mingwei Huang, Zijing Zhang, Longzhu Cen, Jiahuan Li, Jiaheng Xie, Yuan Zhao
2023	J	`jnl`	Unbox the Black-Box: Predict and Interpret YouTube Viewership Using Deep Learning. J. Manag. Inf. Syst. Jiaheng Xie, Yidong Chai, Xiao Liu
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`	An Interpretable Deep Learning Approach to Understand Health Misinformation Transmission on YouTube. HICSS Jiaheng Xie, Yidong Chai, Xiao Liu
2022	J	`jnl`	Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoT. CoRR Jiaheng Xie, Xiaohang Zhao, Xiang Liu, Xiao Fang
2022	—	`conf`	E-VAN : Enhanced Variational AutoEncoder Network for Mitigating Gender Bias in Static Word Embeddings. NLPIR Swati Tyagi, Jiaheng Xie, Rick Andrews
2022	J	`jnl`	Readmission Prediction for Patients with Heterogeneous Medical History: A Trajectory-Based Deep Learning Approach. ACM Trans. Manag. Inf. Syst. Jiaheng Xie, Bin Zhang, Jian Ma, Daniel Zeng, Jenny Lo-Ciganic
2022	J	`jnl`	Understanding Medication Nonadherence from Social Media: A Sentiment-Enriched Deep Learning Approach. MIS Q. Jiaheng Xie, Xiao Liu, Daniel Dajun Zeng, Xiao Fang
2021	J	`jnl`	An Entropy-Based Anti-Noise Method for Reducing Ranging Error in Photon Counting Lidar. Entropy Mingwei Huang, Zijing Zhang, Jiaheng Xie, Jiahuan Li, Yuan Zhao
2021	J	`jnl`	Understanding Health Misinformation Transmission: An Interpretable Deep Learning Approach to Manage Infodemics. CoRR Jiaheng Xie, Yidong Chai, Xiao Liu
2021	J	`jnl`	Unveiling the Hidden Truth of Drug Addiction: A Social Media Approach Using Similarity Network-Based Deep Learning. J. Manag. Inf. Syst. Jiaheng Xie, Zhu Zhang, Xiao Liu, Daniel Zeng
2021	J	`jnl`	Write Like a Pro or an Amateur? Effect of Medical Language Formality. ACM Trans. Manag. Inf. Syst. Jiaheng Xie, Bin Zhang, Susan A. Brown, Daniel Zeng
2019	C	`conf`	Discovering Barriers to Opioid Addiction Treatment from Social Media: A Similarity Network-Based Deep Learning Approach. ICIS Jiaheng Xie, Zhu Zhang, Xiao Liu, Daniel Zeng
2019	—	`conf`	Extracting Medication Nonadherence Reasons with Sentiment-Enriched Deep Learning. ICSH Jiaheng Xie, Xiao Liu, Daniel Zeng, Xiao Fang
2019	—	`conf`	Understanding Opioid Addiction with Similarity Network-Based Deep Learning. ICSH Jiaheng Xie, Zhu Zhang, Xiao Liu, Daniel Zeng
2018	J	`jnl`	Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation. J. Am. Medical Informatics Assoc. Jiaheng Xie, Xiao Liu, Daniel Dajun Zeng
2018	—	`conf`	Readmission Prediction Using Trajectory-Based Deep Learning Approach. ICSH Jiaheng Xie, Bin Zhang, Daniel Zeng
2018	C	`conf`	Readmission Risk Prediction for Patients with Heterogeneous Hazard: A Trajectory-Aware Deep Learning Approach. ICIS Jiaheng Xie, Bin Zhang
2017	C	`conf`	Understanding Reasons for Medication Nonadherence: An Exploration in Social Media Using Sentiment-Enriched Deep Learning Approach. ICIS Jiaheng Xie, Xiao Liu, Daniel Zeng, Xiao Fang
2015	—	`conf`	Consumers' Purchase Intention of Online Product Customization Using Different Terminals with/without Default Template. HCI (23) Jiaheng Xie, Wangsheng Zhu, Kanliang Wang
2014	—	`conf`	An Improvement to E-Commerce Recommendation using Product Network Analysis. PACIS Jiaheng Xie, Wangsheng Zhun, Kanliang Wang