团队简介
Introduction 团队成员
Member 科研项目
Project 研究成果
Outcome 演示下载
Demo 研究资源
Resource 学生招聘
Recruitment

近期论文 (Recent Publications)

    2023
  1. (Book) Haijun Zhang, Yinggen Ke, Zhou Wu, Tianyong Hao, Zhao Zhang, Weizhi Meng, Yuanyuan Mu. International Conference on Neural Computing for Advanced Applications. Communications in Computer and Information Science. ISBN 978-981-99-5844-3. DOI: 10.1007/978-981-99-5844-3, Springer 2023.
  2. (Book) Haijun Zhang, Yinggen Ke, Zhou Wu, Tianyong Hao, Zhao Zhang, Weizhi Meng, Yuanyuan Mu.International Conference on Neural Computing for Advanced Applications. Communications in Computer and Information Science. ISBN 978-981-99-5847-4. DOI: 10.1007/978-981-99-5847-4, Springer 2023.
  3. (Book) Buzhou Tang, Qingcai Chen, Hongfei Lin, Fei Wu, Lei Liu, Tianyong Hao, Yanshan Wang, Haitian Wang. Health Information Processing. Communications in Computer and Information Science. ISBN 978-981-19-9864-5. Springer 2023-02-22.
  4. (Book) Buzhou Tang, Qingcai Chen, Hongfei Lin, Fei Wu, Lei Liu, Tianyong Hao, Yanshan Wang, Haitian Wang, Jianbo Lei, Zuofeng Li, Hui Zong. Health Information Processing. Communications in Computer and Information Science. ISBN 978-981-99-4825-3. Springer 2023-02-22.
  5. Tiezheng Mao, Tianyong Hao, Jialing Fu, Osamu Yoshie. Hierarchical graph fusion network and a new argumentative dataset for multiparty dialogue discourse parsing.Information Processing & Management. Volume 61, Issue 2, 2024. (SCI, IF 8.6, Q1, 中科院大类一区)
  6. Zhipeng Liu, Jing He, Tao Gong, Heng Weng, Fu Lee Wang, Hai Liu, Tianyong Hao. Improving Topic Tracing with A Textual Reader for Conversational Knowledge Based Question Answering. IEEE Transactions on Emerging Topics in Computational Intelligence. Accepted in 2023. (SCI, IF 5.3, Q1, 中科院大类二区)
  7. Hengdong Zhu, Wenxiu Xie, Yuanyuan Mu, Juan Xu, Fu Lee Wang, Yingying Qu*, Tianyong Hao*. A New Semi-Supervised Fuzzy K-means Clustering Method with Dynamic Adjustment and Label Discrimination. Neural Computing and Applications. Accepted in 2023. (SCI, IF 6.0, Q1, 中科院大类二区)
  8. Yong Li, Qihao Yang, Fu Lee Wang, Lap-Kei Lee, Yingying Qu*, Tianyong Hao*. Asymmetric Cross-Modal Attention Network with Multimodal Augmented Mixup for Medical Visual Question Answering. Artificial Intelligence In Medicine. Accepted in Sep. 2023 (SCI, IF 7.5, Q1, 中科院大类一区, Top期刊)
  9. Mingbo Zhao, Zhou Wu, Zhao Zhang, Tianyong Hao, Zhiwei Meng, Reza Malekian. Special issue on neural computing and applications 2020. Neural Computing and Applications. 35, pages12243–12245, 18 April 2023. (SCI, IF 6.0, Q1, 中科院大类二区)
  10. Enliang Yan*, Shikuan Hao, Tao Zhang, Tianyong Hao,*, Qiliang Chen,* , Jianping Yu. Graph Representation Learning Method Based on Three-Way Partial Order Structure. International Journal of Approximate Reasoning. Accepted (SCI)
  11. Mo Di, Huang Bangrui, Wang Haitao, Cao Xinyu, Keqin Gan, Jie Wei, Heng Weng, Hao Tianyong*. SCLert: A Span-based Joint Model for Measurable Quantitative Information Extraction from Chinese Texts. IEEE Transactions on Consumer Electronics. Accepted in 2023 (SCI, IF 4.41)
  12. Kairong Hu, Xiaozhi Zhu, Hai Liu, Yingying Qu*, Fu Lee Wang, Tianyong Hao*. Convolutional Neural Network-Based Entity-specific Common Feature Aggregation for Knowledge Graph Embedding Learning. IEEE Transactions on Consumer Electronics. Accepted in 2023 (SCI, IF 4.41)
  13. Yuanxia Liu, Tianyong Hao, Hai Liu*, Yuanyuan Mu, Heng Weng, Fu Lee Wang. OdeBERT: One-stage Deep-supervised Early-exiting BERT for Fast Inference in User Intent Classification. ACM Transactions on Asian and Low-Resource Language Information Processing. Accepted in 2023.3 (SCI, IF 2.0)
  14. Yong Li, Zhenguo Yang, Tianyong Hao, Qing Li, Wenyin Liu. Pixel-level and Perceptual-level Regularized Adversarial Learning for Joint Motion Deblurring and Super-resolution. Neural Processing Letter. 55(2): 905-926, 2023 (SCI, IF 3.1)
  15. Lianghong Lin, Likeng Liang, Maojie Wang, Runyue Huang, Mengchun Gong, Guangjun Song, Tianyong Hao. A bibliometric analysis of worldwide cancer research using machine learning methods. Cancer Innovation, Volume2, Issue3, Pages 219-232, 2023 (中国卓越期刊行动计划)
  16. Choujun Zhan, and Mingbo Zhao, and Guanzhi Li, and Du Yin, Fujian Wu, and Tianyong Hao, RF-MAF-AttnGRU:A Novel Hybrid Machine Learning Model for Stock Price Prediction and Algorithmic Trading. Available at SSRN: https://ssrn.com/abstract=4383372 or http://dx.doi.org/10.2139/ssrn.4383372
  17. 杨玲 , 翁衡 , 肖波 , 欧阳光 , 郝天永 , 陈全福.《实用医学杂志》, 2023年15期, 2023.9
  18. 郝天永, 莫迪, 王海涛, 曹馨宇. 浅谈可度量数量信息抽取发展与展望. 中国计算机学会通讯. 2023年第9期. 2023
  19. 钱晓波、谢文秀、龙绍沛、兰牧融、慕媛媛、郝天永*. 中文糖尿病问题分类体系及标注语料库构建研究. 中文信息学报. 2023年录用 (CCF推荐中文高质量期刊T1)
  20. Qihao Yang, Xuelin Wang, Yong Li, Lap-Kei Lee, Fu Lee Wang, Tianyong Hao, Mta: A Lightweight Multilingual Text Alignment Model for Cross-language Visual Word Sense Disambiguation. IEEE International Conference on Acoustics, Speech and Signal Processing. Accepted in 2023 (CCF-B)
  21. Rongying Li, Wenxiu Xie, John Lee, Tianyong Hao*. SCA-CLS: A New Semantic-Context-Aware Framework for Community-Oriented Lexical Simplification. By NLPCC 2023. (EI, CCF-C)
  22. Shaopei Long, Yong Li, Xiaobo Qian, Kun Zeng, Fu Lee Wang and Tianyong Hao*. Trilinear Distillation Learning and Question Feature Capturing for Medical Visual Question Answering. APBC 2023 (CCF-C)
  23. Ru Peng, Nankai Lin, Yi Fang, Shengyi Jiang, Tianyong Hao, Boyu Chen and Junbo Zhao. Deps-SAN: Neural Machine Translation with Dependency-Scaled Self-Attention Network. LNCS 13625, pp. 26-37. By ICONIP 2022. (CCF-C)
  24. Guanhua Chen, Qiqi Xu, Choujun Zhan, Fu Lee Wang, Kuanyan Zhu, Liu Hai and Tianyong Hao. A Triplet-Contrastive Representation Learning Strategy for Open Intent Detection. Communications in Computer and Information Science, Vol. 1870, pp 229-244, 2023. By NCAA 2023. (EI, best paper award finalist)
  25. Jingjing Lan, Hai Liu*, Chaobo He, and Tianyong Hao. Interactive acts-based attentive model for Dialogue State Tracking. The international conference on data science. Accepted in 2023.
  26. Chen T, Qiu W, Zhu F, Zhu H, Li S, Wang M, Hao T. Time Series Prediction Models for Assisting the Diagnosis and Treatment of Gouty Arthritis[C]. China Health Information Processing Conference 2023, 2023, 1772.
  27. Xiaobo Qian, Shunhao Li, Weihan Qiu, Tao Chen, Maojie Wang, Tianyong Hao*. Shared Task 1 on NCAA 2023: Chinese Diabetes Question Classification. Communications in Computer and Information Science, Vol. 1870, pp 591-596, 2023. By NCAA 2023. (EI)
  28. Chen W, Qiu W, Chen T, Xu Y, Zhang X, Chen X, Huang R, Wang M. Discovering Combination Patterns of Traditional Chinese Medicine for the Treatment of Gouty Arthritis with Renal Dysfunction[C]. China Health Information Processing Conference 2022, 2022, 1772.
  29. Qiqi Xu, Guanhua Chen, Lan Shuai, Shi Pu, Hai Liu*, Tianyong Hao. A Positive-Negative Dual-View Model for Knowledge Tracing. Communications in Computer and Information Science, Vol. 1870, pp 492-504, 2023. By NCAA 2023. (EI)
  30. Yuyu Luo, Yi Xie, Enliang Yan, Lap-Kei Lee, Tianyong Hao*. A User Intent Recognition Model for Medical Queries Based on Attentional Interaction and Focal Loss Boost. Communications in Computer and Information Science, Vol. 1870, pp 245-259, 2023. By NCAA 2023. (EI)
  31. Zhanjie Mai, Pengjiu Yu, Chunli Liu, Qun Luo, Li Wei, Tianyong Hao. An Enhanced Model Based on Recurrent Convolutional Neural Network for Predicting the Stage of Chronic Obstructive Pulmonary Diseases. Communications in Computer and Information Science, Vol. 1870, pp 179-190, 2023. By NCAA 2023. (EI)
  32. Shaopei Long, Zhenguo Yang, Yong Li, Xiaobo Qian, Kun Zeng, Tianyong Hao*. A Multi-level Attention-based Multimodal  Fusion Model for Medical Visual Question Answering. Communications in Computer and Information Science, Vol. 1870, pp 179-190, 2023. By NCAA 2023. (EI)
  33. Zhengxuan Song, Xun Liu, Yongyi Gong, Tianyong Hao, Kun Zeng*. A Two-Stage Framework for Kidney Segmentation in Ultrasound Images. Communications in Computer and Information Science, Vol. 1870, pp 60-74, 2023. By NCAA 2023. (EI)
  34. Rongying Li, Wenxiu Xie, Jiayin Song, Leung-Pun Wong, Fu Lee Wang and Tianyong Hao. A Context-Driven Merge-Sort Model for Community-Oriented Lexical Simplification. IEEE International Symposium on Product Compliance Engineering-Asia (IEEE ISPEC-AS), pp. 1-6, doi: 10.1109/ISPCE-ASIA57917.2022.9971098. 2022. (EI)
    2022
  1. (Book) Haijun Zhang, Yuehui Chen, Xianghua Chu, Zhao Zhang, Tianyong Hao, Zhou Wu, Yimin Yang (Eds.) Neural Computing for Advanced Applications. Communications in Computer and Information Science. ISBN 978-981-19-6142-7. Springer 2022.
  2. (Book) Weijia Jia, Yong Tang, Raymond S. T. Lee, Michael A. Herzog, Hui Zhang, Tianyong Hao, Tian Wang. Emerging Technologies for Education - 6th International Symposium, SETE 2021, Zhuhai, China, November 11-12, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13089, Springer 2022, ISBN 978-3-030-92835-3
  3. Yong Li, Shaopei Long, Zhenguo Yang, Heng Weng*, Kun Zeng, Zhenhua Huang, Fu Lee Wang, Tianyong Hao*. A Bi-level Representation Learning Model for Medical Visual Question Answering. Journal of Biomedical Informatics. Volume 134, 2022. (SCI, IF 8.0, Q1, 中科院大类二区，医学信息学顶级期刊之一)
  4. Huan Deng, Zhenguo Yang*, Tianyong Hao, Qing Li, Wenyin Liu. Multimodal Affective Computing with Dense Fusion Transformer for Inter- and Intra-modality Interactions. IEEE Transactions on Multimedia. Accepted in 2022.9 (SCI, IF 8.182, Q1, 中科院大类二区，Top期刊 )
  5. Yi Shan, Meng Ji, Wenxiu Xie, Xiaobo Qian, Rongying Li, Xiaomin Zhang, Tianyong Hao. Language Use in Conversational Agent–Based Health Communication: Systematic Review. Journal of Medical Internet Research. 24(7):e37403. doi: 10.2196/37403, 2022.7 (SCI, IF 7.076, Q1, 中科院大类二区)
  6. Tianyong Hao, Xinxin Li, Yulan He, Fu Lee Wang, Yingying Qu*. Recent Progress in Leveraging Deep Learning Methods for Question Answering. Neural Computing and Applications. 34(4): 2765-2783 2022-02. (SCI, IF 5.606, Q1, 中科院大类二区)
  7. Likeng Liang, Jifa Hu, Gang Sun, Na Hong, Yong Li, Tianyong Hao, Li Liu, Mengchun Gong. AI-based Pharmacovigilance: Challenges and Solutions from Data Perspective. Drug Safety. 45:511–519. 2022 (SCI, IF 5.228, Q1, 中科院大类二区)
  8. Likeng Liang, Tianyong Hao, Choujun Zhan, Hong Qiu, Fu Lee Wang, Jun Yan, Heng Weng*, Yingying Qu*. Fast Medical Concept Normalization for Biomedical Literature Base on Stack and Index optimized Self-Attention. Neural Computing and Applications, 34, pages16311–16324, 2022.8 (SCI, IF 5.606, Q1, 中科院大类二区)
  9. Shan, Yi & Ji, Meng & Xie, Wenxiu & Zhang, Xiaomin & Chok, Harrison & Li, Rongying & Qian, Xiaobo & Lam, Kam-Yiu & Chow, Chi-Yin & Hao, Tianyong. COVID-19–Related Health Inequalities Induced by the Use of Social Media: Systematic Review. JMIR Infodemiology. 2. e38453. 10.2196/38453. Accepted in Oct. 2022.
  10. Shan, Yi & Ji, Meng & Xie, Wenxiu & Zhang, Xiaomin & Qian, Xiaobo & Li, Rongying & Hao, Tianyong. (2022). Use of Health Care Chatbots Among Young People in China During the Omicron Wave of COVID-19: Evaluation of the User Experience of and Satisfaction With the Technology. JMIR Human Factors. 10.2196/preprints.36831.
  11. Shan, Yi & Ji, Meng & Xie, Wenxiu & Li, Rongying & Qian, Xiaobo & Zhang, Xiaomin & Hao, Tianyong. (2022). Interventions in Chinese Undergraduate Students’ Mental Health: Systematic Review. Interactive Journal of Medical Research. 11. e38249. 10.2196/38249.
  12. Shan, Yi & Ji, Meng & Xie, Wenxiu & Li, Rongying & Qian, Xiaobo & Zhang, Xiaomin & Hao, Tianyong. (2022). Chinese Version of the Mobile Health App Usability Questionnaire: Translation, Adaptation, and Validation Study. JMIR Formative Research. 6(7). e37933. 10.2196/37933.
  13. Jiafeng Wang, Xianlong Zhou, Zhitian Hou, Xiaoya Xu, Yueyue Zhao, Shanshan Chen, Jun Zhang, Lina Shao, Rong Yan, Mingshan Wang et al. Homogeneous ensemble models for predicting infection levels and mortality of COVID-19 patients: Evidence from China. DIGITAL HEALTH. 2022;8. doi:10.1177/20552076221133692 (SCI, IF 4.687)
  14. Yong Li, Zhenguo Yang, Tianyong Hao, Qing Li, Wenyin Liu. Pixel-level and Perceptual-level Regularized Adversarial Learning for Joint Motion Deblurring and Super-resolution. Neural Processing Letter. Accepted in 2022 (SCI, IF 2.565)
  15. M. Zhu, K. Zeng, G. Lin, Y. Gong, T. Hao, K. Wattanachote, X. Luo. IterNet++: An improved model for retinal image segmentation by curvelet enhancing, guided filtering, offline hard-sample mining, and test-time augmenting. IET Image Processing. Volume16, Issue13, Pages 3617-3633, 2022. (SCI, IF 1.773) IET
  16. Meng Ji, Wenxiu Xie, Mengdan Zhao, Xiaobo Qian, Chi-Yin Chow, Kam-Yiu Lam, Jun Yan, Tianyong Hao*. Probabilistic Prediction of Non-Adherence to Psychiatric Disorder Medication from Mental Health Forum Data: Developing and Validating Bayesian Machine Learning Classifiers. Computational Intelligence and Neuroscience. Accepted and to be published 2022 (SCI, IF 3.633, Q1)
  17. 聂文杰, 莫迪, 黄邦锐, 刘海, 郝天永*. 基于位置特征和句法依存树的可度量数量信息抽取模型. 计算机系统应用, 31(10):279-287. DOI: 10.15888/j.cnki.csa.008747, 2022 (CCF推荐中文期刊T3)
  18. Ru Peng, Nankai Lin, Yi Fang, Shengyi Jiang, Tianyong Hao, Boyu Chen and Junbo Zhao. Deps-SAN: Neural Machine Translation with Dependency-Scaled Self-Attention Network. LNCS 13625, pp. 26-37. By ICONIP 2022. (CCF-C)
  19. Rongying Li, Wenxiu Xie, Jiayin Song, Leung-Pun Wong, Fu Lee Wang and Tianyong Hao. A Context-Driven Merge-Sort Model for Community-Oriented Lexical Simplification. IEEE International Symposium on Product Compliance Engineering-Asia (IEEE ISPEC-AS), pp. 1-6, doi: 10.1109/ISPCE-ASIA57917.2022.9971098. 2022. (EI)
  20. Xiaobo Qian, Wenxiu Xie, Shaopei Long, Murong Lan, Yuanyuan Mu, Tianyong Hao*. The Construction of Question Taxonomy and An Annotated Chinese Corpus for Diabetes Question Classification. Chinese National Conference on Computational Linguistic (CCL), 395-405, 2022. (EI, 推荐至中文信息学报)
  21. Yuyu Luo, Zhenjie Huang, Leung-Pun Wong, Choujun Zhan, Fu Lee Wang and Tianyong Hao*. An Early Prediction and Label Smoothing Alignment Strategy for User Intent Classification of Medical Queries. Communications in Computer and Information Science, Vol. 1637, pp 115-128, 2022. By NCAA (EI)
  22. Zhenjie Huang, Likeng Liang, Xiaozhi Zhu, Heng Weng, Jun Yan, Tianyong Hao*. (2022). An Improved Partition Filter Network for Entity-Relation Joint Extraction. Communications in Computer and Information Science, Vol. 1637, pp 129-141, 2022. By NCAA (EI)
  23. Di Mo, Bangrui Huang, Haitao Wang, Xinyu Cao, Heng Weng, Tianyong Hao*. A Span-Based Joint Model for Measurable Quantitative Information Extraction. Communications in Computer and Information Science, Vol. 1638, pp 345-358, 2022. By NCAA (EI)
  24. Xiaozhi Zhu, Tianyong Hao, Sijie Cheng, Fu Lee Wang, Hai Liu. A Self-supervised Joint Training Framework for Document Reranking. Findings of the Association for Computational Linguistics: NAACL, pp 1056–1065, Seattle, United States, 2022. (CCF-B)
    2021
  1. (Book) Chaoyi Pang, Yunjun Gao, Guanliang Chen, Elvira Popescu, Lu Chen, Tianyong Hao, Bailing Zhang, Silvia Margarita Baldiris Navarro, Qing Li (Eds.) Learning Technologies and Systems - 19th International Conference on Web-Based Learning, ICWL 2020, and 5th International Symposium on Emerging Technologies for Education, SETE 2020. Lecture Notes in Computer Science 12511, Springer 2021, ISBN 978-3-030-66905-8
  2. (Book) Haijun Zhang, Zhao Zhang, Zhou Wu, Tianyong Hao (Eds.) Neural Computing for Advanced Applications. Communications in Computer and Information Science. ISBN 978-981-15-7670-6. ISSN 1865-0929. Springer 2020
  3. Ru Peng, Tianyong Hao*, Yi Fang. Syntax-Aware Neural Machine Translation Directed by Syntactic Dependency Degree. Neural Computing and Applications. Published online on July 2021. (SCI, IF 5.606, Q1, 中科院大类二区)
  4. Kairong Hu, Hai Liu, Choujun Zhan, Yong Tang, Tianyong Hao*. Learning Knowledge Graph Embedding with a Bi-Directional Relation Encoding Network and a Convolutional Autoencoder Decoding Network. Neural Computing and Applications. Neural Computing and Applications, 33(17), 11157-11173, 2021-08. (SCI, IF 5.606, Q1, 中科院大类二区)
  5. Tianyong Hao, Xinxin Li, Yulan He, Fu Lee Wang, Yingying Qu*. A Survey on Deep Learning-Based Question Answering. Neural Computing and Applications. Accepted. (SCI, IF 5.606, Q1, 中科院大类二区)
  6. Choujun Zhan, Chi Kong Tse, Ying Gao, Tianyong Hao. Comparative Study of COVD-19 Pandemic Progressions in 175 Regions in Australia, Canada, Italy, Japan, Spain, UK and USA Using a Novel Model That Considers Testing Capacity and Deficiency in Confirming Infected Cases. IEEE Journal of Biomedical and Health Informatics, 25(8), pp. 2836-2847, 2021 (SCI, IF 5.772, Q1,中科院大类二区) link
  7. Meng Ji, Yanmeng Liu, Tianyong Hao*. Predicting health material accessibility: Development of machine learning algorithms. Journal of Medical Internet Research. 9(9), e29175, 2021. (SCI, IF 5.428, Q1, 中科院大类二区).
  8. Wenxiu Xie, Meng Ji, Tianyong Hao, Chi-Yin Chow. Developing Linguistically Enhanced Machine Learning Algorithms for Predicting the Easiness and Complexity of English Health Materials for International Tertiary Students. JMIR Medical Informatics. 18/09/2021:25110 (in press), 2021 (SCI, IF 2.955, Q1)
  9. Wenxiu Xie, Meng Ji, Yanmeng, Liu, Tianyong Hao, Chi-Yin Chow. Predicting Writing Styles of Web-Based Materials for Children’s Health Education Using the Selection of Semantic Features: Machine Learning Approach. JMIR Medical Informatics. 2021;9(7):e3011. (SCI, IF 2.955, Q1)
  10. Wenxiu Xie, Meng Ji, Riliu Huang, Tianyong Hao, Chi-Yin Chow. Predicting Risks of Machine Translations of Public Health Resources by Developing Interpretable Machine Learning Classifiers.International Journal of Environmental Research and Public Health. 9(7):e301118(16), 8789. 2021. (SCI, IF 3.39) link
  11. 邬宝娴, 谢燚, 沈映珊, 郝天永*. 新的自动概念图生成模型C-IK2，2021_0158，中文信息学报. 2021 (CCF-B)
  12. 宗辉, 张泽宇, 杨金璇, 雷健波, 李作峰, 郝天永, 张晓艳. 基于人工智能的中文临床试验筛选标准文本分类研究 (Artificial intelligence based Chinese clinical trials eligibility criteria classification). 生物医学工程学杂志, 2021, 38(1): 105-110, 121. doi: 10.7507/1001-5515.202006035
  13. Yong Li, Zhenguo Yang, Tianyong Hao: TAM at VQA-Med 2021: A Hybrid Model with Feature Extraction and Fusion for Medical Visual Question Answering. CLEF (Working Notes) 2021: 1295-1304
  14. Xiaozhi Zhu, Leung-Pun Wong, Lap-Kei Lee, Hai Liu and Tianyong Hao. FABERT: A Feature Aggregation BERT-Based Model for Document Reranking. NLPCC 2021 (CCF-C)
  15. Siwei Lu, Di Luo, Zhenguo Yang, Tianyong Hao, Qing Li, Wenyin Liu. Dilated Residual Aggregation Network for Text-guided Image Manipulation. International Conference on Artificial Neural Networks (ICANN). 2021: 28-40. (CCF-C)
  16. Baoxin Lei, Wen Li, Leung-Pun Wong, Lap-Kei Lee, Fu Lee Wang, Tianyong Hao. A Hybrid Semantic Matching Model for Neural Collective Entity Linking. Lecture Notes in Computer Science, 12859, pp. 121-134. By APWeb-WAIM 2021. (CCF-C)
  17. Yuchen Luo, Zhenjie Huang, Kai Zheng*, Tianyong Hao. Systematic Analysis of Joint Entity and Relation Extraction Models in Identifying Overlapping Relations. Communications in Computer and Information Science, 1449, pp. 17-31. By NCAA 2021.
  18. Musen Chen, Hubert S. Tsang, Kang T. Tsang, Tianyong Hao*. An Hybrid Model CMR-Color of Automatic Color Matching Prediction For Textiles Dyeing and Printing. Communications in Computer and Information Science, 1449, pp. 603-618. By NCAA 2021.
  19. Huan Deng, peipei kang, Zhenguo Yang, Tianyong Hao, Qing Li and Wenyin Liu. Dense Fusion Network With Multimodal Residual For Sentiment Classification. IEEE International Conference on Multimedia and Expo (ICME), 2021, pp. 1-6, doi: 10.1109/ICME51207.2021.9428321 (EI, CCF-B)

学生指导 (Student supervision)

  • 学生杨起豪、朱恒东在粤港澳大湾区研究生学术论坛中，获一等奖、二等奖, 2023-10
  • 华南师范大学2023届优秀本科毕业论文(设计)：候智天、罗添，2023-6
  • 学生钱晓波获NCAA 2023 Best Student Service奖，2023.7
  • 实验室学生陈冠华、许琪琪获NCAA 2023 best paper award finalist奖，2023.7
  • 指导学生黄俊豪、兰牧融、黄智恒获广东省大学生计算机设计大赛，三等奖, 2023.9
  • 学生兰牧融等进入第十六届全国大学生创新创业年会，华师三支队伍之一，2023.7
  • 学生李彩桦等获大学生创新创业大赛项目(国家级)，2023-06
  • 学生李勇获广东省计算机学会优秀论文奖，三等奖，李勇排名第一, 2023.2
  • 梁礼铿获广东省计算机学会优秀论文奖，三等奖，梁礼铿排名第一, 2023.2
  • 学生获2023届百名优秀毕业生：候智天, 2023
  • 华南师范大学2022-2023学年优秀学生奖学金，候智天获二等奖, 2023
  • 指导硕士生杨起豪获著名国际比赛SemEval-2023 Task-1 - Visual Word Sense Disambiguation (Visual-WSD)比赛 全球综合成绩第一名(两个单项第一)，2023
  • 指导博士生李勇获研究生国家奖学金，胡凯荣获校研究生奖学金一等奖, 2022
  • 华南师范大学2022届优秀本科毕业论文(设计)严沛、李晋琳，2022-6
  • 华南师范大学2021-2022学年优秀学生奖学金，李晋琳一等奖
  • 华南师范大学2020-2021学年优秀学生奖学金，余烁琳一等奖、候智天、兰牧融获二等奖
  • 指导学生胡凯荣获广东省计算机学会优秀论文奖 三等奖，2021-12
  • 指导学生获2021届优秀本科毕业论文(设计)：黎欣鑫，2021-06
  • 指导学生兰牧荣等获大学生创新创业大赛项目(国家级)，2021-06，获优秀结项(2022-06)
  • 指导学生黎欣鑫、李晋琳、余烁琳获华南师范大学2019-2020学年本科优秀学生奖学金一等奖，胡景悦、李嘉荣、谭静雯、陈弈岐、王文浩获二等奖，2021.1
  • 指导学生获2020年研究生国家奖学金，学生胡凯荣(研三上学期)，2020.10
  • 指导学生获华南师范大学“挑战杯”金种子培育项目，“知心”-- 基于大数据分析和机器学习的心理咨询微信小程序，发明制作类作品，蔡畅、于心怡、陈烁明、吴隽宏、陈嘉俊、张铭哲，2020
  • 指导学生获华南师范大学“挑战杯”一般培育项目，基于随机组卷算法的在线智能考试系统. 发明制作类作品. 李晋琳、陈永康、谢淑玮、张煜彬. 2020
  • 指导学生获华南师范大学创新训练校级项目，面向自然语言文本的语义简化研究及应用，学生胡景悦、杨灏、曾德明、李嘉荣，2020-01
  • 指导学生获华南师范大学“挑战杯”金种子培育项目校级立项，基于人工智能的心理咨询助手, 2020-06
  • 指导学生胡凯荣获NCAA 2020国际会议最佳论文奖(第1名)，学生：胡凯荣，2020-07-05
  • 指导实验室学生获华南师范大学2020届百名优秀毕业生，学生许钊澎、廖思源、徐逸彬，2020-06-15
  • 指导学生获2020届优秀本科毕业论文（设计）：许钊澎、廖思源、徐逸彬、梁子宏， 2020
  • 指导学生获华南师范大学2019-2020学年优秀学生奖学金一等奖，学生许钊澎、廖思源、徐逸彬，2020-05-20
  • 指导实验室学生发表论文，5名学生保研985高校，许钊澎保送北京大学，徐逸彬、廖思源、梁子宏、陈宇洋保送中山大学。
  • 指导学生获第十五届全国机器翻译大会(CCMT 2019)英文最佳论文候选(第3名)，学生：彭儒、陈芝涛，2019-09-28
  • 指导学生获第四届中国健康信息处理会议(CHIP 2018)评测比赛 “中文电子病历中临床医疗实体及属性抽取”第5名(92支参赛队伍)，学生：梁子宏、陈俊杰、吴桂渝、许钊澎，2018-12-1
  • 指导学生获第十一届中国大学生计算机设计大赛(软件应用与开发类)二等奖，糖尿病个人健康服务平台，学生：张淑锦、潘晓仪、黎柏棋，2018-8-19
  • 指导学生获 “攀登计划”广东大学生科技创新项目立项，糖尿病问答及健康指标健康预警系统，学生：张淑锦、黎柏琪、唐嘉兰，主办：广东团省委，2017-2
  • 指导学生获广州番禺区“青蓝计划”创业项目41名(前120名入围)，糖尿病问答及健康指标健康预警系统，学生：谢文秀等，2017-9
  • 指导学生获第十届中国大学生计算机设计大赛(软件应用与开发类)二等奖，面向儿童教育的智能问答系统-BayMin，学生：李汉强、林大彬、张海林，2017-8-19
  • 指导学生获第六届全国社会媒体处理大会 (SMP 2017)“中文人机对话技术评测-用户意图领域分类”比赛奖，名次4，学生：谢文秀、徐凯，2017-8
  • 指导学生获第二十三届全国信息检索学术会议(CCIR 2017)“面向智能问答的篇章排序”比赛优胜奖，名次5/85，学生：谢文秀、徐凯，2017-7
  • 指导学生获国家级创新创业项目立项，面向儿童教育的自动问答系统-小白，学生：陈鸿、李汉强等，2017-6
  • 指导学生获 “攀登计划”广东大学生科技创新项目立项，面向儿童教育的自动问答系统-小白，学生：李汉强、林大彬、方耿佳、梁烷晴、陈鸿、陈柏宇，主办：广东团省委，2017-2
  • 指导学生获广州市高校创新创业教育项目，面向儿童教育的智能问答机器人-BayMin，学生：陈鸿、李汉强、谢文秀、林大彬，广州市教育局，2017-1
  • 指导学生获泛珠三角+“中星杯”计算机作品设计大赛三等奖，糖尿病问答及健康指标监控预警系统，学生：张伟鹏、张淑锦、罗金依，2017-4
  • 指导学生获2017年第14届“挑战杯”全国大学生课外学术科技作品竞赛广东省三等奖，面向儿童教育的智能问答系统-小白，学生：李汉强、方耿佳、陈鸿、林大彬、张海林，主办：共青团中央 中国科协 教育部 中国社会科学院 全国学联 上海市政府，2017-3
  • 指导学生获国际会议最佳论文奖(Best Paper Award), International Conference on Health Information Science, China, 学生：陈柏宇，2016
  • 指导学生获“穗港”IT应用系统开发大赛广州区一等奖，名次4/69，糖尿病问答及健康指标监控预警系统，学生：谢文秀、叶国栋、梁烷晴、李承韬，2016
  • 指导学生获“穗港”IT应用系统开发大赛广州区一等奖，名次6/69，医学临床试验检索与分析系统–TrialSmart，学生：古志颖、陈柏宇、周展帆、范程怡，2016

知识产权 (Intellectual Property)

  • ISO国际标准: 正式发布, ISO 24617-11, Language resource management -- Semantic annotation framework (SemAF) -- Part 11: Measurable Quantitative Information (MQI), Project leader: Tianyong Hao, Haitao Wang，2021/08, 项目负责人
  • ISO国际标准: PWI, ISO/TC37/SC4, Language resource management -- Semantic annotation framework (SemAF): Measurable Quantitative Information Extraction (SemAF-MQIE), Project leader: Tianyong Hao, Haitao Wang, Kiyong Lee (South Korea)
  • 国家标准. 基于文本数据的金融风险防控要求. 标准号GB/T 41462-2022，国家市场监督管理总局、中国国家标准化管理委员会, 归口：中国人民银行, 发布日期2022-04-15，实施日期2022-11-01，主要起草人(5/31)
  • 国家标准. 建立术语数据库的一般原则与方法 (General principles and methods for establishing terminology database). 标注号GB/T 13725-2019，发布时间2019-08-30，实施时间2020-03-01，主要起草人(4/12)
  • 国家标准. 术语工作 原则与方法 (Terminology work—Principles and methods). 标注号GB/T 10112-2019，发布时间2019-08-30，实施时间2020-03-01，主要起草人(9/13)
  • 国家标准. 汉语言文化学习资源应用评价 (Evaluation of Chinese language and culture learning resources in practice). 标注号GB/T 37998-2019，发布时间2019-08-30，实施时间2020-03-01，主要起草人(8/18)
  • 国家标准. 汉语言文化学习资源分类 (Classification of Chinese language and culture learning resources). 标注号GB/T 37975-2019，发布时间2019-08-30，实施时间2020-03-01，主要起草人(8/17)
  • 国家标准. 基于XML的国家标准结构化置标框架 (Tagging framework based XML structurizing of national standard). 标注号GB/T 37967-2019，发布时间2019-08-30，实施时间2020-03-01，主要起草人(11/20)
  • 专利: Chunshen Zhu, Tianyong Hao. US patent application no 13/527,314. Method, system and medium for character conversion between different regional versions of a language especially between Simplified Chinese and Traditional Chinese. 申请号: 20130338994, 美国发明专利, 授权专利号US9,311,302 B2 Link
  • 专利: Chunshen Zhu, Tianyong Hao. Multi-mode Color Marking Scheme for Conversion Tracking in Simplified-Traditional Chinese Character (PWG/PA/275/1/2012, 申请号201210207765.3, 公开号103514152A). 简繁中文转换中的标识追踪方法及装置. 中国发明专利, 授权专利号ZL 2012 1 0207765.3, 授权时间2017/1/18
  • 专利: Chunshen Zhu, Tianyong Hao. A pattern-based method for Simplified-Traditional Chinese character conversion (PWG/PA/278/1/2012, 申请号 201210284530.4, 公开号103577396A). 生成简繁转换模版及基于模版进行简繁转换的方法、系统. 中国发明专利, 授权专利号ZL201210284530.4, 授权时间2017/4/12
  • 专利: Chunshen Zhu, Tianyong Hao. A method for differentiating and processing multilingual punctuation marks in Chinese character (PWG/PA/276/1/2012, 申请号201210200998.0, 公开时间2014/01/15至今, 公开号103514145A). 标点符号转换方法及装置. 中国发明专利, 授权专利号ZL 201210200998.0, 授权时间2017/7/18
  • 发明专利（已授权）：郝天永、郭旭昇、瞿瑛瑛. 一种医学问题信息处理方法、装置和存储介质. 中国发明专利. 专利号ZL 2020 1 0194442.X，授权时间2023/12/12
  • 发明专利（已授权）：郝天永、瞿瑛瑛. 一种医学问答系统的多模型融合方法. 中国发明专利. 专利号ZL 202010353908.6，授权时间2023/08/11
  • 发明专利（已授权）：郝天永、李文 一种学习策略生成方法、系统、装置及存储介质. 中国发明专利. 专利号ZL 202110203273.6，授权时间 2023/06/09
  • 发明专利（已授权）：郝天永、雷顺威、瞿瑛瑛. 文本分类模型调优的超参数推荐方法、装置及存储介质. 中国发明专利. 专利号 ZL 2021 1 0496595.4，授权时间2023-09-26.
  • 发明专利（已授权）：郝天永、雷顺威、瞿瑛瑛. 一种文本分类方法、装置及存储介质. 中国发明专利. 专利号 ZL2021 1 0536710.6，授权时间2023/12/26
  • 发明专利（已授权）：郝天永、谢燚.基于重要程度和优先级的组卷方法、装置、设备及介质. 中国发明专利. 专利号ZL 202110677060.7,授权时间 2023/05/30
  • 发明专利（已授权）：郝天永、李文. 一种试卷分析方法、装置、电子设备及存储介质. 中国发明专利.专利号 ZL 202110677255.1,授权时间2023/01/10
  • 发明专利（已授权）：郝天永、陈木森. 一种印染配色的多模型融合方法、装置、设备及介质. 中国发明专利. 专利号：ZL 2021 1 0783420.1，授权时间 2023/09/26

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文本分析与挖掘实验室 (Text Analytics and Mining Lab) - 华南师范大学石牌校区校区计算机学院.