徐昊

职称:教授、博士生导师

毕业院校:意大利Trento大学

email:xuhao@jlu.edu.cn

个人主页:

研究方向:人工智能、数字人文、人机交互、计算机教育

教育经历


2008.11——2011.11    意大利Trento大学计算机科学与信息工程系 博士
2005.09——2008.07    吉林大学计算机科学与技术学院 硕士
2001.09——2005.07    吉林大学计算机科学与技术学院 本科

科研项目

科研项目(近五年承担的部分科研项目):

纵向项目:

1. 长春市科技局:人工智能+教育:教育评价大模型(No. 24GNYZ11),2024-2027,负责人

2. 国家自然科学基金面上项目:基于多模态大模型的古文字理解研究(No. 6247073905)2025-2028,负责人

3. 教育部产学研创新基金:面向以人为中心人工智能的融合式教学模式研究与应用(2022XF017)2023-2025,负责人

4. 吉林省科技发展计划项目:面向认知智能的智慧教育关键技术研究与应用(20230201086GX)2023-2025,负责人

5. 国家自然科学基金面上项目:从学好好学:以人为中心人工智能驱动的学习动机干预研究(No. 62077027)2021-2024,负责人

6. 国家自然科学基金重大项目数字经济下的创新驱动创业的基础理论”(No. 72091315) 2021-2025,主要参加人

7. 吉林省科技发展计划项目:基于人机智能融合的智慧教育研究与应用,2020-2022,负责人

8. 吉林省发展和改革委员会:基于知识图谱的科技资源智能信息服务平台,2019-2020,负责人

9. 欧盟项目:WeNet2018-2023,中方负责人

10. 国家重点研发计划:骨关节退行性病变中医早期识别、干预及综合服务技术的示范研究,子课题,2018-2023,负责人

11. 吉林省科技发展计划重大科技招标专项:基于大数据分析的电商精准营销服务平台,2017-2019,负责人

横向项目:

1. “时空旅程”人工智能研学资源与平台开发,2023-2025,负责人

2. 华为技术有限公司:昇腾处理器环境中基于TensorFlow AI框架开发AI模型,2021-2022,负责人

3. 吉林省吉林祥云信息技术有限公司:政务图谱构建项目,2021.8-2022.2,负责人

4. 华为技术有限公司:基于华为Atlas800训练服务器训练深度学习模型,2020-2021,负责人

5. 吉林吉大孵化器有限公司:工业发展大数据智能信息服务平台,2017-2018,负责人

教育部教学研究项目:

1. 人工智能赋能的拔尖创新人才培养体系研究与实践,2024-2026,负责人

2. 以数字化改革赋能高等教育高质量发展的实践路径,2024-2025,负责人

3. “人工智能+古文字”虚拟仿真研究与建设,2022-2023,负责人

4. 融合媒体实践教学课程改革项目,2022-2023,负责人

5. 教育部首批新文科研究与改革实践项目:以人为中心的人工智能深度融合新文科教学模式创新与实践,2021-2024,负责人

6. 腾讯计算机系统有限公司:基于腾讯扣叮的STEAM课程建设,2021-2022,负责人

7. 华为技术有限公司:面向四新的人工智能实践课程建设,2021-2022,负责人

8. 科大讯飞股份有限公司:从学好好学:以学生为中心的智慧课堂构建,2020-2021,负责人


论文

近五年代表性论文:

会议论文:

1. Zhihan Zhou,Xue Gu, Yujie Zhao and Hao Xu*. POP-CEE: Position-oriented Prompt-tuning Model for Causal Emotion Entailment[C]. Findings of the Association for Computational Linguistics ACL 2024. 2024: 4199-4210. (ACL2024 Findings) [CCF-A类会议]

2. Yang Chi, Fausto Giunchiglia, Chuntao Li* and Hao Xu*. Ancient Chinese Glyph Identification Powered by Radical Semantics[C]. Findings of the Association for Computational Linguistics ACL 2024. 2024: 12065-12074. (ACL2024 Findings)  [CCF-A类会议]

3. Rui Song, Fausto Giunchiglia, Yingji Li, Mingjie Tian, Hao Xu*. TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification[C]. Proceedings of the AAAI Conference on Artificial Intelligence. 2024, 38(17): 18999-19007. AAAI 2024[CCF A类会议]

4. Xiaolei Diao, Daqian Shi, Jian Li, Lida Shi, Mingzhe Yue, Ruihua Qi, Chuntao Li*, Hao Xu*. Toward Zero-shot Character Recognition: A Gold Standard Dataset with Radical-level Annotations[C]. Proceedings of the 31st ACM International Conference on Multimedia. 2023: 6869-6877. ACM MM 2023 [CCF-A类会议]

5. Xiaolei Diao, Daqian Shi, Hao Tang, Qiang Shen, Yanzeng Li, Lei Wu, Hao Xu*. RZCR: Zero-shot Character Recognition via Radical-based Reasoning[C]. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. 2023: 654-662. IJCAI 2023 [CCF A类会议]

6. Jian Li, Ziyao Meng, Daqian Shi, Rui Song, Xiaolei Diao, Jingwen Wang, Hao Xu*. FCC: Feature Clusters Compression for Long-Tailed Visual Recognition[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR 2023: 24080-24089. [CCF-A类会议]

7. Qiang Shen, Haotian Feng, Rui Song, Stefano Teso, Fausto Giunchiglia, Hao Xu*. Federated Multi-Task Attention for Cross-Individual Human Activity Recognition[C]. Proceedings of the 31st International Joint Conference on Artificial Intelligence, IJCAI. 2022: 3423-3429. [CCF-A类会议]

8. Daqian Shi, Xiaolei Diao, Hao Tang, Xiaomin Li, Hao Xing, Hao Xu*. RCRN: Real-world Character Image Restoration Network via Skeleton Extraction. In Proceedings of the 30th ACM international conference on Multimedia, ACM MM, 2022: 1177-1185. [CCF-A类会议]

9. Daqian Shi, Xiaolei Diao, Lida Shi, Hao Tang, Yang Chi, Chuntao Li, Hao Xu*. CharFormer: A Glyph Fusion based Attentive Framework for High-precision Character Image Denoising. In Proceedings of the 30th ACM international conference on Multimedia, ACM MM, 2022:1147-1155. [CCF-A类会议]

10. Yang Chi, Fausto Giunchiglia, Daqian Shi, Xiaolei Diao, Chuntao Li, Hao Xu*. ZiNet: Linking Chinese Characters Spanning Three Thousand Years. In Findings of the Association for Computational Linguistics: ACL 2022, pages 3061–3070.(ACL2022 Findings) [CCF-A类会议]

11. Meegahapola L, Droz W, Kun P, Hao Xu, et al. Generalization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, UbiComp, 2023, 6(4): 1-32.[CCF A类会议](Distinguished Paper Award)

12. Jian Li, Haojing Huang, Yujia Zhang*, Pengfei Xu, Xi Chen, Rui Song, Lida Shi, Jingwen Wang, Hao Xu. Self-supervised Preference Optimization:Enhance Your Language Model with Preference Degree Awareness. Findings of proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. EMNLP2024 Findings. [CCF-B类会议,清华A类会议]

13. Lida Shi, Fausto Giunchiglia, Rui Song, Daqian Shi, Tongtong Liu, XiaoLei Diao, Hao Xu*. A Simple Contrastive Learning Framework for Interactive Argument Pair Identification via Argument-Context Extraction. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022: 10027-10039. EMNLP2022. [CCF-B类会议,清华A类会议]

14. Yu Feng, Tongyu Zhao, Yi Zhang, Yatong Zu, Adriano Tavares, Tiago Gomes, Hao Xu*. Innovative Attempt at Enhancing Psychological Assessment: A Preliminary Investigative Study of Measuring College Students' Learning Motivation Levels through the Lens of Passive Sensing via Smartphones[C]. Proceedings of the Annual Meeting of the Cognitive Science Society. CogSci, 2024, Vol46.[CCF-B类会议]

15. Xue Gu, Zhihan Zhou, Ziyao Meng, Jian Li, Tiago Gomes, Adriano Tavares and Hao Xu*. EmoPrompt-ECPE: Emotion knowledge-aware Prompt-tuning for Emotion-Cause Pair Extraction[C]. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). 2024: 5678-5688. [CCF-B类会议]

16. Tongyu Zhao, Jiaying Gao, Yu Feng, Yatong Zu, Adriano Tavares, Tiago Gomes, and Hao Xu*. Behavioral Sensing: An Exploratory Study to Assess Self-Regulated Learning and Resource Management strategy of University Students using Mobile Sensing[C]. Proceedings of the Annual Meeting of the Cognitive Science Society 46,2023.[CCF-B类会议]

17. Ziyao Meng, Xue Gu, Qiang Shen, Adriano Tavares, Sandro Pinto and Hao Xu*. H2T-FAST: Head-to-Tail Feature Augmentation by Style Transfer for Long-Tailed Recognition[C]. In Proceedings of the 26th European Conference on Artificial Intelligence, ECAI 2023. IOS Press, 2023: 1712-1719. [CCF-B类会议]

18. Yu Feng, Tongyu Zhao, Yatong Zu, Adriano Tavares, Tiago Gomes, Hao Xu*. Social Behavioral Sensing: An Exploratory Study to Assess Learning Motivation and Perceived Relatedness of University Students using Mobile Sensing[C]. Proceedings of the Annual Meeting of the Cognitive Science Society. CogSci, 2023, 45(45) [CCF-B类会议]

19. Donglei Song; Qiang Shen; Haotian Feng; Rui Song; Fausto Giunchiglia; Hao Xu*.Personalized multi-task attention for multimodal mental health detection and explanation. [C]//Proceedings of the Annual Meeting of the Cognitive Science Society. CogSci 2023, 45(45). [CCF-B类会议]

20. Mingjie Tian, Fausto Giunchiglia, Hao Xu*. Improving Ontology Translation from Disentangled Semantic and Language Representations[C] Proceedings of the Annual Meeting of the Cognitive Science Society. CogSci 2023, 45(45). [CCF-B类会议]

21. Jian Li, Yu Feng, Jingwen Wang, Tongyu Zhao, Yuxuan Huang, Yatong Zu, Hao Xu*. Automatically Identifying Teachers' Autonomy Support using Text Classification on Imbalanced Data[C] Proceedings of the Annual Meeting of the Cognitive Science Society. 2023, 45(45). ( CogSci 2023 Abstract Paper) [CCF-B类会议]

22. Tongyu Zhao, Jiaying Gao, Yu Feng, Jian Li, Yatong Zu, Sandro Pinto, Adriano Tavares , Hao Xu*. Feature Visualization and Attribution Analysis of Confusion for Massive Open Online Course. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 45, No. 45)( CogSci 2023 Abstract Paper) [CCF-B类会议]

23. Mingjie Tian, Fausto Giunchiglia, Rui Song, Xing Chen, Hao Xu*. Enhancing Ontology Translation Through Cross-Lingual Agreement[C] ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2023). IEEE, 2023: 1-5. [CCF-B类会议]

期刊论文:

1. Ling Gao, Hongda Zhang, Yiming Liu, Nan Sheng, Haotian Feng and Hao Xu*. PGCL: Prompt guidance and self-supervised contrastive learning-based method for Visual Question Answering. Expert Systems with Applications, 2024, 251, 124011. [中科院1]

2. Ling Gao, Hongda Zhang, Nan Sheng, Lida Shi, Hao Xu*. Learning neighbor-enhanced region representations and question-guided visual representations for visual question answering[J]. Expert Systems with Applications, 2024, 238: 122239. [中科院1]

3. Haotian Feng, Qiang Shen, Rui Song, Lida Shi, Hao Xu*. ATFA: Adversarial Time–Frequency Attention network for sensor-based multimodal human activity recognition[J]. Expert Systems with Applications, 2024, 236: 121296. [中科院1]

4. Jiufeng Zhao, Rui Song, Chitao Yue, Zhenxin Wang, Hao Xu*. Weak-PMLC: A large-scale framework for multi-label policy classification based on extremely weak supervision[J]. Information Processing & Management, 2023, 60(5): 103442. [中科院1]

5. Rui Song, Fausto Giunchiglia, Lida Shi, Qiang Shen, Hao Xu*.SUNET: Speaker-utterance interaction Graph Neural Network for Emotion Recognition in Conversations[J]. Engineering Applications of Artificial Intelligence, 2023, 123: 106315. [中科院1]

6. Rui Song, Fausto Giunchiglia, Yingji Li, Lida Shi, Hao Xu*.Measuring and Mitigating Language Model Biasesin Abusive Language Detection. Information Processing & Management, 2023,60(3),103277.[中科院1]

7. Rui Song, Fausto Giunchiglia, Qiang Shen, Nan Li, Hao Xu*. Improving Abusive Language Detection with Online Interaction Network. Information Processing & Management, 2022, 59(5): 103009. [中科院1]

8. ZhanCheng Ren,Qiang Shen, XiaoLei Diao, Hao Xu*. A sentiment-aware deep learning approach for personality detection from text. Information Processing & Management, 58(3), 102532. [中科院1]

9. Shi Daqian, Ting Wang, Hao Xing, Hao Xu*. A learning path recommendation model based on a multidimensional knowledge graph framework for e-learning. Knowledge-Based Systems, 2020(195): 105618, 2020. [中科院1]

10. Xiaomin Li; Daqian Shi; Xiaolei Diao; Hao Xu*; SCL-MLNet: Boosting Few-Shot Remote Sensing Scene Classification via Self-Supervised Contrastive Learning, IEEE Transactions on Geoscience and Remote Sensing, 20211-12. [中科院1]

11. Tao Yu, Rui Song, Sandro Pinto, Tiago Gomes, Adriano Tavares, Hao Xu* GEML: a graph-enhanced pre-trained language model framework for text classification via mutual learning[J]. Applied Intelligence, 2024: 1-15. [中科院2]

12. Rui Song, Fausto Giunchiglia, Ke Zhao, Hao Xu*. Topological enhanced graph neural networks for semi-supervised node classification[J]. Applied Intelligence, 2023: 1-15. [中科院2]

13. Fausto Giunchiglia, Gabor Bella, Nandu Chandran Nair, Yang Chi, Hao Xu Representing Interlingual Meaning in Lexical Databases[J]. Artificial Intelligence Review, 2023: 1-17. [中科院2]

14. Zhezhe Xing; Rui Song; Yun Teng; Hao Xu*; DynHEN: A Heterogeneous Network Model for Dynamic Bipartite Graph Representation Learning, Neurocomputing , 2022, 508: 47-57. [中科院2]

15. Yuting Ma; Rui Song; Qiang Shen; Xue Gu; Hao Xu*; Multiple Graph Convolutional Networks for Aspect-based Sentiment Analysis. Applied Intelligence, 2022: 1-21. [中科院2]

16. Rui Song, Zelong Liu, Xingbing Chen, Haining An, Zhiqi Zhang, Xiaoguang Wang*, Hao Xu. Label prompt for multi-label text classification[J]. Applied Intelligence, 2022: 1-15. [中科院2]

17. Rui Song, Fausto Giunchiglia, Ke Zhao, Mingjie Tian, Hao Xu*. Graph topology enhancement for text classification[J]. Applied Intelligence, 2022: 1-14. [中科院2]

已授权专利:

1. 一种基于提示指导和自监督对比学习的视觉问答方法(专利号:202410425002.9;授权号:CN 118013070 B

2. 基于信号通道缩放和频域特征补全的人类活动识别方法(专利号:202410465732.1;授权号:CN 118070106 B

3. 一种基于特征簇中心压缩的图像分类方法(专利号:202311638931X;授权号:CN 117372785 B

4. 一种基于有偏最短距离准则的图像分类系统及方法(专利号:2023115238577;授权号:CN 117253095 B

5. 一种构建可交互式虚拟展馆的方法(专利号:2022112958073;授权号:CN 115617174 B

6. 一种基于区域表示和视觉表示的视觉问答方法及系统(专利号:2023107689052;授权号:CN 116542995 B

7. 一种简单的情感知识增强提示调优的方面级情感分类方法(专利号:202310564657X;授权公告号:116304063 B

8. 一种大规模极弱监督多标签政策分类框架(专利号:2023104164847; 授权公告号:CN 116127078 B

9. 基于历时汉字知识图谱的古文字相似度量化方法(专利号:2022104612196;授权公告号:CN 114707615 B

10. 一种基于图增强的互学习文本分类方法及系统(专利号:2022113602526;授权公告号:CN115599918B

11. 一种基于生成对抗网络的历史文档图像降噪方法及系统(专利号:2022111412048;授权公告号:CN 115457568 B

12. 一种教师自主支持性教学行为自动识别方法(专利号:2022112844405;授权公告号:CN115658860B

13. 基于目标检测和知识图谱的古文字识别方法(专利号:2021114144569;授权公告号:CN114092700B

14. 一种甲骨文字体构建方法(专利号:202111412993X;授权公告号:CN114067331B

15. 一种健康知识图谱的构建方法及系统(专利号:2018115706025;授权公告号:CN 109669994 B

16. 基于语义技术和游戏化的智能课堂知识管理平台及方法(专利号:2017103013420;授权公告号:CN107145559B




著作教材

C KISS-Keep It Simple and Straightforward while playing and enjoying with C in a programming lab,英文教材,中国铁道出版社

获奖情况

1. 发明创业奖人物奖  2024  中国发明协会

2. 吉林省高等教育教学成果一等奖  2022  吉林省人民政府

3. 吉林省高等学校教学名师  2020  吉林省教育厅

4. 全国商业科技进步一等奖  2020  中国商业联合会

5. 吉林省技术发明一等奖    2018  吉林省科学技术厅

6. 全国商业科技进步一等奖  2015  中国商业联合会


社会兼职

中国教育技术协会技术标准委员会副主任

吉林省高等教育学会教育技术专委会 理事长

老龄主动应对与仿生健康教育部国际合作联合实验室 副主任

中国高等教育学会工程教育专委会 常务理事

教育部产学合作协同育人专家组成员

意大利Trento大学 Courtesy Professor



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