个人主页：https://hdzhangust.github.io/

张昊迪，深圳大学计算机与软件学院副教授，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 Intelligence、IEEE TKDE、国际顶级会议IJCAI、AAAI、ICDE等。主持国家自然科学基金、广东省自然科学基金等科研项目7项，发表论文二十余篇，其中以一作/通讯发表CCF-A类论文10篇。曾获2021年IJCAI机器智能测试竞赛（IJCAI MAIQ）Verbal、Diagram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 ICECI2021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资深委员或分论坛主席，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 me:https://hdzhangust.github.io/

研究方向

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、广东省自然科学基金）

荣誉奖项

2023深圳大学“名师进中学”优秀主讲人二等奖

2022深圳大学优秀本科教师奖

2022广东省高校教师教学创新大赛深圳大学二等奖

2021深圳大学优秀本科课程奖

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

2021第十届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第九届深圳大学青年教师讲课竞赛计软学院二等奖

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

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

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

特邀报告

1.领域大模型的可信知识推理,南中国首席财务官协会年度会议（SCFEA-2023）, Shenzhen, June 30th, 2023

2. 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

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

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

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

论文

[ICDE-24 Demo] Yuanfeng Song, Jinwei Lu, Xuefang Zhao, Raymond Chi-Wing Wong, Haodi Zhang*. Demonstration of FeVisQA: Free-Form Question Answering over Data Visualization, in Proceedings of IEEE International Conference on Data Engineering (Accepted)

[CSCWD-24] Haodi Zhang, Junyu Yang, Wenxi Huang, Min Cai, Jiahong Li, Chen Zhang and Kaisu Wu. Recognizing Textual Entailment by Hierarchical Crowdsourcing with Diverse Labor Costs, in Proceedings of 27th International Conference on Computer Supported Cooperative Work in Design (Accepted)

[ICDE-23] 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, in Proceedings of IEEE International Conference on Data Engineering (Accepted, CCF-A)Code

[AAAI-23] Jin Zhang, Defu Lian, Haodi Zhang, Baoyun Wang, Enhong Chen. Query-aware Quantization for Maximum Inner Product Search, in Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence (Accepted, CCF-A)

[BIBM-23] Haodi Zhang, Jiahong Li, Yichi Wang, and Yuanfeng Song. Integrating Automated Knowledge Extraction with Large Language Models for Explainable Medical Decision-Making, in Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2023) (Accepted)

[TKDE] Chen Zhang#, Haodi Zhang#*, Weiteng Xie, Nan Liu, Kaishun Wu and Lei Chen, Where To: Crowd-Aided Path Selection by Selective Bayesian Network, in IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 35(1): 1072-1087, 2023 (CCF-A)

[AAAI-22] Haodi Zhang, Zhichao Zeng, Keting Lu, Kaishun Wu and Shiqi Zhang, Efficient Dialog Policy Learning by Reasoning with Contextual Knowledge, in Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence 2022:11667-11675 (CCF-A)Code

[TKDE] 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, in IEEE Transactions on Knowledge and Data Engineering 34(8): 3629-3642, 2022 (CCF-A)

[BIBM-22] 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, in Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine 2022 (Accepted)

[TCSS] Junyang Chen, Mengzhu Wang, Haodi Zhang, Zhenghua Xu, Xueliang Li, Zhiguo Gong, Kaishun Wu, Victor C. M. Leung, IRLM: Inductive Representation Learning Model for Personalized POI Recommendation, in IEEE Transactions on on Computational Social Systems (early access), 2022

[JOS]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, 2022 (Accepted, CCF-A)

[ISBRA-22] Haodi Zhang, Chenyu Xu, Peirou Liang, Ke Duan, Hao Ren, Weibin Cheng, and Kaishun Wu. MMLN: Leveraging Domain Knowledge for Multimodal Diagnosis, in Proceedings of the Eighteenth International Symposium on Bioinformatics Research and Applications, 2022 (Accepted)

[HPCC-22] Sheng Luo, Haodi Zhang, Qifan Li and Kaishun Wu. Knowledge-Assisted DRL for Energy Harvesting Based Multi-Access Wireless Communications, in Proceedings of IEEE International Conference on High Performance Computing and Communications 2022:869-876

[ICPADS-22] Haodi Zhang, Zhao Chen, Jinyin Nie, Di Jiang, Lixin Fan and Kaishun Wu. Knowledge-Enhanced Learning for KG Embedding, in Proceedings of the Twenty-Eighth IEEE International Conference on Parallel and Distributed Systems, 2022 (Accepted)

[ICPADS-22] 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, in Proceedings of the Twenty-Eighth IEEE International Conference on Parallel and Distributed Systems, 2022 (Accepted)

[TKDE] 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, in IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021 (Accepted, CCF-A)

[DASFAA-21] Zhidan Liu, Junhong Zheng, Zengyang Gong, Haodi Zhang and Kaishun Wu, Exploiting Multi-source Data for Adversarial Driving Style Representation Learning, in Proceedings of 26th International Conference of DASFAA, 2021:491-508

[CCL-21] Shan Wang*, Zhao Chen, Haodi Zhang*, Macau’s Vocabulary Growth in the Recent Ten Year (In Chinese), in Proceedings of the 20th Chinese National Conference on Computational Linguistics, 2021:350-360

[AAAI-20] Zihang Gao, Fangzhen Lin, Yi Zhou, Hao Zhang, Kaishun Wu, Haodi Zhang*, Embedding High-Level Knowledge into DQNs to Learn Faster and More Safely, in Proceedings of AAAI (short paper) 2020:13608-13609

[IJCAI-19] 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, in Proceedings of IJCAI 2019:6110-6116 (CCF-A)

[ISWC-18] Fangyuan He, Yi Zhou, Haodi Zhang, Zhiyong Feng: Dual-enhanced Word Representations Based on Knowledge Base, in ISWC (short paper) 2018.

[INFOCOM-17] Haodi Zhang, Yu Wang, Xiangtong Qi, Weiping Xu, Tao Peng, Shucheng Liu, Demo abstract: An intent solver for enabling intent-based SDN, in Proceedings of INFOCOM (short paper) 2017:968-969

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

[AAAI-16] Haodi Zhang, Fangzhen Lin, Mapping Action Language BC to Logic Programs: A Characterization by Postulates, in Proceedings of AAAI 2016:1116-1123 (CCF-A)

[IJCAI-15] Haodi Zhang, Fangzhen Lin, Characterizing Causal Action Theories and Their Implementations in Answer Set Programming: Action Languages B, C, and Beyond, in Proceedings of IJCAI 2015:3285-3291 (CCF-A)

毕业学生