2022
Lung-Hao Lee, Jian-Hong Li, and Liang-Chih Yu* (2022). Chinese EmoBank: Building Valence-Arousal Resources for Dimensional Sentiment Analysis. ACM Transactions on Asian and Low-Resource Language Information Processing (ACM TALLIP), 21(4), Article 65, 1-18. (SCIE)
Lung-Hao Lee, Chang-Hao Chen, Wan-Chen Chang, Po-Lei Lee, Kuo-Kai Shyu, Mu-Hong Chen, Ju-Wei Hsu, Ya-Mei Bai, Tung-Ping Su, and Pei-Chi Tu* (2022). Evaluating the Performance of Machine Learning Models for Automatic Diagnosis of Patients with Schizophrenia Based on a Single Site Dataset of 440 Participants. European Psychiatry (Eur. Psychiatry), 65(1), E1. (SCIE & SSCI)
Lung-Hao Lee, Chien-Huan Lu, and Tzu-Mi Lin (2022). NCUEE-NLP at SemEval-2022 Task 11: Chinese Named Entity Recognition Using the BERT-BiLSTM-CRF Model. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval'22). (accepted for publications)
Tzu-Mi Lin, Chao-Yi Chen, Yu-Wen Tzeng and Lung-Hao Lee (2022). Ensemble Pre-trained Transformer Models for Writing Style Change Detection. In Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum. (accepted for publications)
2021
Lung-Hao Lee*, and Yi Lu (2021). Multiple Embedding Enhanced Multi-Graph Neural Networks for Chinese Healthcare Named Entity Recognition. IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 25(7), 2801-2810 (SCIE)
Lung-Hao Lee, Yuh-Shyang Wang, Chao-Yi Chen, and Liang-Chih Yu* (2021). Ensemble Multi-Channel Neural Networks for Scientific Language Editing Evaluation. IEEE Access, 9, 158540-158547. (SCIE)
Hao-Teng Hsu, Kuo-Kai Shyu, Chuan-Chih Hsu, Lung-Hao Lee, and Po-Lei Lee* (2021). Phase-Approaching Stimulation Sequence for SSVEP-based BCI: A Practical Use in VR/AR. IEEE Transactions on Neural Systems and Rehabilitation Enginnering (IEEE TNSRE), 29, 2754-2764. (SCIE)
Lung-Hao Lee, Po-Han Chen, Yu-Xiang Zeng, Po-Lei Lee, and Kuo-Kai Shyu (2021). NCUEE-NLP at MEDIQA 2021: Health Question Summarization Using PEGASUS Transformers. In Proceedings of the 20th SIGBioMed Workshop on Biomedical Language Processing (BioNLP'21), Online, 11 June, 2021, pp. 268-272.
Lung-Hao Lee, Man-Chen Hung, Chien-Huan Lu, Chang-Hao Chen, Po-Lei Lee, and Kuo-Kai Shyu (2021). Classification of Tweets Self-reporting Adverse Pregnancy Outcomes and Potential COVID-19 Cases Using RoBERTa Transformers. In Proceedings of the 6th Social Media Mining for Health Applications (#SMM4H'21) Workshop and Shared Tasks, Online, 10 June, 2021, pp. 98-101.
Lung-Hao Lee, Man-Chen Hung, Chao-Yi Chen, Rou-An Chen, and Yuen-Hsien Tseng (2021). Chinese Grammatical Error Detection Using Adversarial ELECTRA Transformers. In Proceedings of the 29th International Conference on Computers in Education (ICCE'21). Online, 22-26 November, 2021, pp. 111-113.
陳昌浩、陳柔安、李龍豪、張婉真、蘇東平、杜培基 (2021年11月)。大腦區域功能性連結分析之思覺失調症自動判別。第26屆人工智慧與應用研討會 (TAAI'21)，臺中：朝陽科技大學。
王昱翔、陳昭沂、李龍豪 (2021年10月)。運用混合注意力生成對抗網路於科學論文引用意圖分類。第33屆自然語言與語音處理研討會 (ROCLING'21)，桃園：國立中央大學。
陳柏翰、曾昱翔、李龍豪 (2021年10月)。結合領域知識之語言轉譯器於中文醫療問題多標籤分類。第33屆自然語言與語音處理研討會 (ROCLING'21)，桃園：國立中央大學。
高浩銓、洪滿珍、李龍豪、曾元顯 (2021年10月)。運用超圖注意力網路於中文幽默文本多標籤分類。第33屆自然語言與語音處理研討會 (ROCLING'21)，桃園：國立中央大學。
洪滿珍、陳昭沂、陳品蓉、李龍豪 (2021年10月)。 NCU-NLP at ROCLING-2021 Shared Task: Using MacBERT Transformers for Dimensional Sentiment Analysis。第33屆自然語言與語音處理研討會 (ROCLING'21)，桃園：國立中央大學。
2020
Kuo-Kai Shyu, Luan-Jiau Chiu, Po-Lei Lee, and Lung-Hao Lee (2020). UWB Simultaneous Breathing and Heart Rate Detections in Driving Scenario Using Multi-feature Alignment Two-layer EEMD Method. IEEE Sensors Journal (IEEE Sens.), 20(17), pp. 10251-10266. (SCIE)
Lung-Hao Lee, Yuh-Shyang Wang, Po-Chen Lin, Chih-Te Hung, and Yuen-Hsien Tseng (2020). Multi-Channel CNN-BiLSTM for Chinese Grammatical Error Detection. In Proceedings of the 28th International Conference on Computers in Education (ICCE'20), 23-27 November, 2020. pp. 558-560.
Lung-Hao Lee, Po-Han Chen, Hao-Chuan Kao, Ting-Chun Hung, Po-Lei Lee and Kuo-Kai Shyu (2020). Medication Mention Detection in Tweets Using ELECTRA Transformers and Decision Trees. In Proceedings of the 5th Social Media Mining for Health Applications (#SMM4H'20) Workshop and Shared Tasks, 12 December, 2020. pp. 131-133.
盧毅、李龍豪 (2020年12月)。基於圖神經網路之中文健康照護命名實體辨識。中文計算語言學期刊 (IJCLCLP)，25(2)，21-36。
盧毅、李龍豪 (2020年9月)。門控圖序列神經網路之中文健康照護命名實體辨識。第32屆自然語言與語音處理研討會 (ROCLING'20)，台北：國立臺北科技大學。
王昱翔、李龍豪、林柏霖、禹良治 (2020年9月)。運用集成式多通道類神經網路於科技英文寫作評估。第32屆自然語言與語音處理研討會 (ROCLING'20)，台北：國立臺北科技大學。
2019
Lung-Hao Lee, Yuen-Hsien Tseng*, and Li-Ping Chang (2019). Resources and Evaluations of Automated Chinese Error Diagnosis for Language Learners. In X. Lu & B. Chen (Eds.), Computational and Corpus Approaches to Chinese Language Learning (Chapter 12, pp. 235-252), Chinese Language Learning Sciences. Springer, Singapore.
Lung-Hao Lee, Yi Lu, Po-Han Chen, Po-Lei Lee, and Kuo-Kai Shyu (2019). NCUEE at MEDIQA 2019: Medical Text Inference Using Ensemble BERT-BiLSTM-Attention Model. In Proceedings of the 18th Workshop on Biomedical Natural Language Processing (BioNLP'19), Florence, Italy, 1 August, 2019, pp. 528-532.
Cui-Hsuan Chen, Lung-Hao Lee, and Yuen-Hsien Tseng (2019). Topic Map Analysis of Deep Learning Patents. In Proceedings of 17th International Conference on Scientometrics and Informetrics (ISSI'19), Rome, Italy, 2-5 September, 2019.
Lung-Hao Lee, Wun-Syuan Wu, Jian-Hong Li, Yu-Chi Lin, and Yuen-Hsien Tseng (2019). Building a Confused Character Set for Chinese Spell Checking. In Proceedings of 27th International Conference on Computers in Education (ICCE'19), Kenting, Taiwan, 2-6 December, 2019, pp. 703-705.
