深圳大学计算机与软件学院
College of Computer Science and Software Engineering, SZU
张昊迪

助理教授

物联网研究中心

Email: hdzhang@szu.edu.cn

张昊迪

       张昊迪,深圳大学计算机与软件学院助理教授,深圳市孔雀计划高层次人才。博士毕业于香港科技大学计算机系,本科毕业于中国科技大学计算机系。曾任香港科技大学工业工程与决策分析系博士后研究员、香港科技大学计算机系客座讲师。主要研究方向为人工智能,大数据,知识表示与推理,深度学习,以及人工智能在自然语言处理、游戏、医疗等领域的应用。研究成果发表于人工智能及大数据领域国际顶级期刊Artificial IntelligenceIEEE TKDE、国际顶级会议IJCAIAAAI、ICDE等。主持国家自然科学基金青年项目、广东省自然科学基金面上项目等科研项目7项,发表论文二十余篇。曾获2021年IJCAI机器智能测试竞赛(IJCAI MAIQVerbalDiagram双赛道冠军、腾讯犀牛鸟青年教师科研基金项目奖、广东省高校教师教学创新大赛深圳大学二等奖等科研与教学奖项。曾担任欧洲电信标准化协会(ETSI ENI)专家组成员,国际会议EAI ICECI 2021举办方主席,常年担任AAAI、IJCAI、 ACL、NeurIPS、ICLR、ACL、EMNLP等国际会议程序委员会成员/资深成员,以及TKDE、Artificial Intelligence、Machine Learning、Data Intelligence等国际期刊受邀审稿人。担任香港互联网专业协会委员、CCF大数据专委委员、CCF人工智能与模式识别专委委员、CCF物联网专委委员。

欢迎了解、加入本课题组。More about mehttps://hdzhangust.github.io/


Research Interests

1. 推理与机器学习在游戏AI中的应用(国家自然科学基金、腾讯犀牛鸟)

2. 面向任务对话机器人(纽约州立大学合作课题)

3. 大数据群智计算 (香港科技大学、香港理工大学合作课题)

4. 知识图谱与问答系统 (WeBank AI合作课题)

5. 医疗领域人工智能辅助诊断(广东省第二人民医院合作课题)

6. 非单调推理、动作语言(国家自然科学基金、广东省面上)


Honors & Awards

2022 深圳大学教学单项奖-优秀本科教师奖

2022 广东省高校教师教学创新大赛深圳大学二等奖

2021 深圳大学教学单项奖-优秀本科课程奖

2021 IJCAI MAIQ竞赛Verbal赛道冠军、Diagram赛道冠军

2021-2019 深圳大学青年教师讲课竞赛计软学院二等奖

2020 深圳大学年度考核优秀奖

2019 腾讯犀牛鸟青年教师科研项目奖

2019 深圳大学计算机与软件学院最佳新人奖

2018 深圳市海外高层次人才

指导学生获奖

2022 第15届中国大学生计算机设计大赛全国二等奖,梁霈柔、谭晓锋、陈敏涵

2022 第15届中国大学生计算机设计大赛广东省赛二等奖,梁霈柔、谭晓锋、陈敏涵

2022 美国大学生数学建模竞赛特等奖提名(Finalist,F奖),梁霈柔、何承伟、萧亮秋

2021 第四届绽放杯5G应用大赛高校组三等奖,林子森

2021 IJCAI机器智能测试大赛Verbal赛道冠军,陈钊、李启凡、陈振浩

2021 IJCAI机器智能测试大赛Diagram赛道冠军,李启凡、陈钊、陈振浩


Invited Talks

1. Knowledge Representation and Reasoning for Economic Brain of Avatar, on 第二届湾区金融科技高校分论坛, Shenzhen, Dec. 1st, 2022

2. Knowledge Representation and Reasoning for Deep Learning in NLP, on The 2nd Macau Symposium on Linguistics, Macau University, Dec. 3th, 2021

3. Natural language processing: tasks, models and applications, on The 2nd Interdisciplinary Frontier Forum, BNU Zhuhai, Nov. 24, 2021

4. Leveraging Human Intelligence in Machine Learning for NLP, on The 1st Macau Symposium on Linguistics, Macau University, Dec. 4th, 2020


Contact

Wechat:HowdyUST

E-mail:hdzhang@szu.edu.cn

个人主页: https://hdzhangust.github.io/


Publication

[1] Haodi Zhang, Wenxi Huang, Zhenhan Su, Junyang Chen, Di Jiang, Lixin Fan, Chen Zhang, Defu Lian and Kaishun Wu. Hierarchical Crowdsourcing for Data Labeling with Heterogeneous Crowd. Proceedings of IEEE International Conference on Data Engineering, accepted (ICDE 2023, CCF-A类会议)

[2] Jin Zhang, Defu Lian, Haodi Zhang, Baoyun Wang, Enhong Chen. Query-aware Quantization for Maximum Inner Product Search. Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, accepted (AAAI 2023, CCF-A类会议)

[3] Haodi Zhang, Zhichao Zeng, Keting Lu, Kaishun Wu, Shiqi Zhang. Efficient Dialog Policy Learning by Reasoning with Contextual Knowledge. Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022:11667-11675 (AAAI 2022, CCF-A类会议)

[4] Chen Zhang#, Haodi Zhang#*, Weiteng Xie, Nan Liu, Qifan Li, Kaishun Wu, Di Jiang, Peiguang Lin and Lei Chen. Cleaning Uncertain Data with Crowdsourcing - a General Model with Diverse Accuracy Rates. IEEE Transactions on Knowledge and Data Engineering 34(8): 3629-3642, 2022 (TKDE, CCF-A类期刊)

[5] Haodi Zhang, Chenyu Xu, Jiahong Li, Peirou Liang, Xiangyu Zeng, Hao Ren, Weibin Cheng, and Kaishun Wu. Explainable Pulmonary Disease Diagnosis with Prompt-Based Knowledge Extraction. Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, accepted, 2022 (BIBM 2022, CCF-B类会议)

[6] Junyang Chen, Mengzhu Wang, Haodi Zhang, Zhiguo Gong, Zhidan Liu, Kaishun Wu, Victor Leung, IRLM. Inductive Representation Learning Model for Personalized POI Recommendation. IEEE Transactions on Computational Social Systems 2022, early access (TCSS)

[7] 张昊迪, 陈振浩, 陈俊扬, 周熠, 连德富, 伍楷舜, 林方真. 显式知识推理和深度强化学习结合的动态决策, 软件学报, 006593:10.13328, 2022 (JOS, CCF-A类中文期刊)

[8] Haodi Zhang, Chenyu Xu, Peirou Liang, Ke Duan, Hao Ren, Weibin Cheng, and Kaishun Wu. MMLN: Leveraging Domain Knowledge for Multimodal Diagnosis. Proceedings of the Eighteenth International Symposium on Bioinformatics Research and Applications, accepted (ISBRA 2022, CCF-C类会议)

[9] Sheng Luo, Haodi Zhang, Qifan Li and Kaishun Wu. Knowledge-Assisted DRL for Energy Harvesting Based Multi-Access Wireless Communications. Proceedings of IEEE International Conferences on High Performance Computing and Communications, 2022:869-876 (HPCC 2022, CCF-B类会议)

[10] Haodi Zhang, Zhao Chen, Jinyin Nie, Di Jiang, Lixin Fan and Kaishun Wu. KnowledgeEnhanced Learning for KG Embedding. Proceedings of the Twenty-Eighth IEEE International Conference on Parallel and Distributed Systems, accepted (ICPADS 2022, CCF-C类会议)

[11] Haodi Zhang, Wenxi Huang, Chenyu Xu, Zhengbang Yang, Hongxin Zhou, Fengtian Qi, Kaishun Wu and Chen Zhang. Improving Confidence of Uncertain Knowledge Graphs by Crowdsourcing with Limited Budget. Proceedings of the Twenty-Eighth IEEE International Conference on Parallel and Distributed Systems, accepted (ICPADS 2022, CCF-C类会议)

[12] Chen Zhang#, Haodi Zhang#*, Qifan Li, Kaishun Wu, Di Jiang, Yuanfeng Song, Peiguang Lin, and Lei Chen. Burstiness-Aware Web Search Analysis on Different Levels of Evidences. IEEE Transactions on Knowledge and Data Engineering, early access, 2021. (TKDE, CCF-A类期刊)

[13] Chen Zhang#, Haodi Zhang#*, Weiteng Xie, Nan Liu, Kaishun Wu and Lei Chen. Where To: Crowd-Aided Path Selection by Selective Bayesian Network. IEEE Transactions on Knowledge and Data Engineering, early access, 2021. (TKDE, CCF-A类期刊)

[14] Zhidan Liu, Junhong Zheng, Zengyang Gong, Haodi Zhang and Kaishun Wu. Cleaning Uncertain Data with Crowdsourcing - a General Model with Diverse Accuracy Rates. Proceedings of 26th International Conference of Database Systems for Advanced Applications, 2021:491-508. (DASFAA 2021, CCF-B类会议)

[15] Shan Wang*, Zhao Chen, Haodi Zhang*, Macau’s Vocabulary Growth in the Recent Ten Year (In Chinese). Proceedings of the 20th Chinese National Conference on Computational Linguistics, 2021:350-360 (CCL 2021)

[16] Zihang Gao, Fangzhen Lin,Yi Zhou, Hao Zhang, KaishunWu, Haodi Zhang*. Embedding High-level Knowledge into DQNs to Learn Faster and More Safely. Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (short paper) 2020:13608-13609. (AAAI 2020)

[17] Yusen Liu, Fangyuan He, Haodi Zhang, Guozheng Rao, Zhiyong Feng, Yi Zhou. How Well Do Machines Perform on IQ tests: a Comparison Study on a Large-Scale Dataset. Proceeding of International Joint Conference on Artificial Intelligence, 2019:6110-6116 (IJCAI 2019, CCF-A类会议)

[18] Fangyuan He, Yi Zhou, Haodi Zhang, Zhiyong Feng. Dual-enhanced Word Representations Based on Knowledge Base. Proceedings of the ISWC 2018 Industry and Blue Sky Ideas Tracks of the 17th International Semantic Web Conference 2018 (ISWC 2018, CCF-B类会议)

[19] Haodi Zhang, Fangzhen Lin. Characterizing causal action theories and their implementations in answer set programming. Artificial Intelligence 248: 1-8, 2017 (AIJ, CCF-A类期刊)

[20] Haodi Zhang, Yu Wang, Xiangtong Qi, Weiping Xu, Tao Peng, Shucheng Liu. An intent solver for enabling intent-based SDN, in IEEE Conference on Computer Communications (short paper) 2017: 968-969 (INFOCOM 2017)

[21] Haodi Zhang, Fangzhen Lin: Mapping Action Language BC to Logic Programs. A Characterization by Postulates. Proceeding of the AAAI Conference on Artificial Intelligence, 2016:1116-1123. (AAAI 2016, CCF-A类会议)

[22] Haodi Zhang, Fangzhen Lin: Characterizing Causal Action Theories and Their Implementations in Answer Set Programming: Action Languages B, C, and Beyond. Proceeding of International Joint Conference on Artificial Intelligence, 2015:3285-3291 (IJCAI 2015, CCF-A类会议)