2023
Lung-Hao Lee, Jian-Hong Li, Szu-Wei Ku, and Yuan-Hsien Tseng* (2023). Filtering Objectionable Information Access Based on Click-Through Behaviors with Deep Learning Methods. Journal of Information Science (JIS). (SCIE) (Accepted for publications)
Kuo-Kai Shyu, Szu-Chi Huang*, Lung-Hao Lee, and Po-Lei Lee (2023). Less Parameterization Inception-Based End to End CNN Model for EEG Seizure Detection. IEEE Access, 11, 49172-49182. (SCIE)
Kuo-Kai Shyu, Yi-Chang Yu, Xin-Lan Lin, Lung-Hao Lee, and Po-Lei Lee* (2023). A Novel Bidirectional-Switched-Capacitor-Based Interlaced DC-DC Converter. Electronics, 12(4), Article 792, 1-21. (SCIE)
Kuo-Kai Shyu, Szu-Chi Huang, Lung-Hao Lee, and Po-Lei Lee* (2023). A Low Complexity Estimation Method of Entropy for Real-Time Seizure Detection. IEEE Access, 11, 5990-5999. (SCIE)
Tzu-Mi Lin, Jung-Ying Chang, and Lung-Hao Lee (2023). NCUEE-NLP at WASSA 2023 Empathy, Emotion, and Personality Shared Task: Perceived Intensity Prediction Using Sentiment-Enhanced RoBERTa Transformers. In Proceedings of 13th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA'23). (Accepted for publications)
Chao-Yi Chen, Jen-Hao Yang, and Lung-Hao Lee (2023). NCUEE-NLP at BioLaySumm Task 2: Readability-Controlled Summarization of Biomedical Articles Using the PRIMERA Models. In Proceedings of the 22nd Workshop on Biomedical Language Processing (BioNLP'23). (Accepted for publications)
Chao-Yi Chen, Kao-Yuan Tien, Yuan-Hao Cheng, and Lung-Hao Lee (2023). NCUEE-NLP at SemEval-2023 Task 7: Ensemble Biomedical LinkBERT Transformers in Multi-evidence Natural Language Inference for Clinical Trial Data. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval'23). (Accepted for publications)
Lung-Hao Lee, Yuan-Hao Cheng, Jen-Hao Yang, and Kao-Yuan Tien (2023). NCUEE-NLP at SemEval-2023 Task 8: Identifying Medical Causal Claims and Extracting PIO Frames Using the Transformer Models. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval'23). (Accepted for publications)
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)
Yu-Chih Deng, Cheng-Yu Tsai, Yih-Ru Wang, Sin-Horng Chen, Lung-Hao Lee* (2022). Predicting Chinese Phrase-level Sentiment Intensity in Valence-Arousal Dimensions with Linguistic Dependency Features. IEEE Access, 10, 126612-126620. (SCIE)
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), Seattle, Washington and Online, 14-15 July, 2022, pp. 1597-1602.
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, Bologna, Italy, 5-8 September, 2022, vol. 3180, pp. 2565-2573.
Tzu-Mi Lin, Chao-Yi Chen, Yu-Wen Tzeng and Lung-Hao Lee (2022). NCUEE-NLP@SMM4H'22: Classification of Self-reported Chronic Stress on Twitter Using Ensemble Pre-trained Transformer Models. In Proceedings of the 7th Social Media Mining for Health Applications (#SMM4H'22) Workshop and Shared Tasks , Gyeongju, Republic of Korea, 17 October, 2022, pp. 62-64.
Tzu-Mi Lin, Chao-Yi Chen, Lung-Hao Lee, and Yuen-Hsien Tseng (2022). Evaluating the Performance of Chinese Multi-Label Grammatical Error Detection Using Deep Neural Networks. In Proceedings of the 30th International Conference on Computers in Education (ICCE'22). Kuala Lumpur, Malaysia, 28 November - 2 December, 2022, pp. 524-526.
Lung-Hao Lee, Chao-Yi Chen, Liang-Chih Yu, and Yuen-Hsien Tseng (2022). Overview of the ROCLING 2022 Shared Task for Chinese Healthcare Named Entity Recognition. In Proceedings of the 34th Conference on Computational Linguistics and Speech Processing (ROCLING'22), Taipei, Taiwan, 21-22 November, 2022, pp. 363-368.
黃思齊、曹程富、廖柏勛、李龍豪 、李柏磊、徐國鎧 (2022年11月)。運用響應式知識蒸餾機制增進中文多標籤文本分類效能。第34屆自然語言與語音處理研討會 (ROCLING'22)，臺北：臺北醫學大學。
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)，臺北：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)，臺北：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.
