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2020 – today
- 2024
[j9]Wenli Zhang
, Jiaheng Xie, Zhu (Drew) Zhang, Xiang Liu:
Depression Detection Using Digital Traces on Social Media: A Knowledge-aware Deep Learning Approach. J. Manag. Inf. Syst. 41(2): 546-580 (2024)- [c12]Junwei Kuang, Jiaheng Xie, Zhijun Yan:
What Symptoms and How Long? An Interpretable AI Approach for Depression Detection in Social Media. HICSS 2024: 2455-2464 - [i7]Haoxin Liu, Wenli Zhang, Jiaheng Xie, Buomsoo Kim, Zhu Zhang, Yidong Chai:
Few-Shot Learning for Chronic Disease Management: Leveraging Large Language Models and Multi-Prompt Engineering with Medical Knowledge Injection. CoRR abs/2401.12988 (2024) - [i6]Jiaheng Xie, Ruicheng Liang, Yidong Chai, Yang Liu, Daniel Zeng:
Short-Form Videos and Mental Health: A Knowledge-Guided Neural Topic Model. CoRR abs/2402.10045 (2024) - 2023
- [j8]Mingwei Huang, Zijing Zhang, Longzhu Cen, Jiahuan Li, Jiaheng Xie, Yuan Zhao:
Prediction of the Number of Cumulative Pulses Based on the Photon Statistical Entropy Evaluation in Photon-Counting LiDAR. Entropy 25(3): 522 (2023) - [j7]Jiaheng Xie, Yidong Chai, Xiao Liu:
Unbox the Black-Box: Predict and Interpret YouTube Viewership Using Deep Learning. J. Manag. Inf. Syst. 40(2): 541-579 (2023) - [c11]Junwei Kuang, Jiaheng Xie, Zhijun Yan:
What Symptoms and How Long? An Interpretable AI Approach for Depression Detection in Social Media. ICIS 2023 - [i5]Wenli Zhang, Jiaheng Xie, Xiang Liu, Zhu Zhang:
Depression Detection Using Digital Traces on Social Media: A Knowledge-aware Deep Learning Approach. CoRR abs/2303.05389 (2023) - [i4]Junwei Kuang, Jiaheng Xie, Zhijun Yan:
What Symptoms and How Long? An Interpretable AI Approach for Depression Detection in Social Media. CoRR abs/2305.13127 (2023) - [i3]Shuang Geng, Wenli Zhang, Jiaheng Xie, Gemin Liang, Ben Niu:
Patient Dropout Prediction in Virtual Health: A Multimodal Dynamic Knowledge Graph and Text Mining Approach. CoRR abs/2306.03833 (2023) - 2022
- [j6]Jiaheng Xie, Xiao Liu, Daniel Dajun Zeng, Xiao Fang:
Understanding Medication Nonadherence from Social Media: A Sentiment-Enriched Deep Learning Approach. MIS Q. 46(1): 341-372 (2022) - [j5]Jiaheng Xie, Bin Zhang, Jian Ma, Daniel Zeng, Jenny Lo-Ciganic:
Readmission Prediction for Patients with Heterogeneous Medical History: A Trajectory-Based Deep Learning Approach. ACM Trans. Manag. Inf. Syst. 13(2): 14:1-14:27 (2022) - [c10]Jiaheng Xie, Yidong Chai, Xiao Liu:
An Interpretable Deep Learning Approach to Understand Health Misinformation Transmission on YouTube. HICSS 2022: 1-10 - [c9]Swati Tyagi, Jiaheng Xie, Rick Andrews:
E-VAN : Enhanced Variational AutoEncoder Network for Mitigating Gender Bias in Static Word Embeddings. NLPIR 2022: 57-64 - [i2]Jiaheng Xie, Xiaohang Zhao, Xiang Liu, Xiao Fang:
Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoT. CoRR abs/2211.04509 (2022) - 2021
- [j4]Mingwei Huang, Zijing Zhang, Jiaheng Xie, Jiahuan Li, Yuan Zhao:
An Entropy-Based Anti-Noise Method for Reducing Ranging Error in Photon Counting Lidar. Entropy 23(11): 1499 (2021) - [j3]Jiaheng Xie, Zhu Zhang, Xiao Liu, Daniel Zeng:
Unveiling the Hidden Truth of Drug Addiction: A Social Media Approach Using Similarity Network-Based Deep Learning. J. Manag. Inf. Syst. 38(1): 166-195 (2021) - [j2]Jiaheng Xie, Bin Zhang, Susan A. Brown, Daniel Zeng:
Write Like a Pro or an Amateur? Effect of Medical Language Formality. ACM Trans. Manag. Inf. Syst. 12(3): 24:1-24:25 (2021) - [i1]Jiaheng Xie, Yidong Chai, Xiao Liu:
Understanding Health Misinformation Transmission: An Interpretable Deep Learning Approach to Manage Infodemics. CoRR abs/2101.01076 (2021)
2010 – 2019
- 2019
- [c8]Jiaheng Xie, Zhu Zhang, Xiao Liu, Daniel Zeng:
Discovering Barriers to Opioid Addiction Treatment from Social Media: A Similarity Network-Based Deep Learning Approach. ICIS 2019 - [c7]Jiaheng Xie, Zhu Zhang, Xiao Liu, Daniel Zeng:
Understanding Opioid Addiction with Similarity Network-Based Deep Learning. ICSH 2019: 134-141 - [c6]Jiaheng Xie, Xiao Liu, Daniel Zeng, Xiao Fang:
Extracting Medication Nonadherence Reasons with Sentiment-Enriched Deep Learning. ICSH 2019: 294-301 - 2018
- [j1]Jiaheng Xie, Xiao Liu, Daniel Dajun Zeng:
Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation. J. Am. Medical Informatics Assoc. 25(1): 72-80 (2018) - [c5]Jiaheng Xie, Bin Zhang:
Readmission Risk Prediction for Patients with Heterogeneous Hazard: A Trajectory-Aware Deep Learning Approach. ICIS 2018 - [c4]Jiaheng Xie, Bin Zhang, Daniel Zeng:
Readmission Prediction Using Trajectory-Based Deep Learning Approach. ICSH 2018: 224-230 - 2017
- [c3]Jiaheng Xie, Xiao Liu, Daniel Zeng, Xiao Fang:
Understanding Reasons for Medication Nonadherence: An Exploration in Social Media Using Sentiment-Enriched Deep Learning Approach. ICIS 2017 - 2015
- [c2]Jiaheng Xie, Wangsheng Zhu, Kanliang Wang:
Consumers' Purchase Intention of Online Product Customization Using Different Terminals with/without Default Template. HCI (23) 2015: 403-413 - 2014
- [c1]Jiaheng Xie, Wangsheng Zhun, Kanliang Wang:
An Improvement to E-Commerce Recommendation using Product Network Analysis. PACIS 2014: 182
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