Do not go gentle into that good night.
Rage, rage against the dying of the light. —Dylan Thomas

Research Interests

• Knowledge representation and reasoning in machine learning
• Interpretable AI models for dialog management, diagnosis, game playing, etc.
• Data integration and improvement

Selected Publications

1. [ICDE-25] Jinwei Lu, Yuanfeng Song^*, Haodi Zhang^*, Chen Zhang, Kaishun Wu, Raymond Chi-Wing Wong. Towards Robustness of Text-to-Visualization Translation against Lexical and Phrasal Variability, in Proceedings of 41st IEEE International Conference on Data Engineering (Accepted)
2. [COLING-25] Haodi Zhang, Junyu Yang, Jinyin Nie, Peirou Liang, Kaishun Wu, Defu Lian, Rui Mao and Yuanfeng Song. Efficient Data Labeling by Hierarchical Crowdsourcing with Large Language Models, in Proceedings of International Conference on Computational Linguistics (Accepted)
3. [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)
4. [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)
5. [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
6. [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)
7. [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)
8. [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)
9. [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
10. [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)
11. [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)
12. [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
13. [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)
14. [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)
15. [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
16. [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)
17. [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)
18. [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)
19. [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
20. [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
21. [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
22. [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)
23. [ISWC-18] Fangyuan He, Yi Zhou, Haodi Zhang, Zhiyong Feng: Dual-enhanced Word Representations Based on Knowledge Base, in ISWC (short paper) 2018.
24. [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
25. [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)
26. [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)
27. [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)

Invited Talks

• Knowledge Representation and Reasoning for Economic Brain of Avatars, on The Bay Area Fintech University Forum, Shenzhen, Feb. 4th, 2022
• Knowledge Representation and Reasoning for Deep Learning in NLP, on The 2nd Macau Symposium on Linguistics, Macau University, Dec. 3th, 2021
• Natural language processing: tasks, models and applications, on The 2nd Interdisciplinary Frontier Forum, BNU Zhuhai, Nov. 24, 2021
• Leveraging Human Intelligence in Machine Learning for NLP, on The 1st Macau Symposium on Linguistics, Macau University, Dec. 4th, 2020

Grant

• PI, National Natural Science Foundation of China (NSFC), 2019-2021 (国家自然科学基金青年项目，主持)
• PI, GuangDong Basic and Applied Basic Research Foundation, 2022-2024 (广东省自然科学基金面上项目，主持)
• PI, Finance Commission of Shenzhen Municipality, 2019-2021 (深圳市“孔雀计划”海外高层次人才科研基金，主持)
• PI, Tencent ‘Rhinoceros Birds’ - Scientific Research Foundation for Young Faculty of Shenzhen University, RMB 5,000, 2018-2019 (腾讯“犀牛鸟”-深圳大学青年教师科研基金项目，主持)
• PI, High-level University Construction Fund of Shenzhen University, 2019-2020 (深圳市高水平大学建设项目，主持)
• PI, Natural Science Foundation of Shenzhen University, 2018-2019 (深圳大学新引进教师科研启动项目，主持)
• Co-PI, Joint Funds of National Natural Science Foundation of China (NSFC), Key Project, 2021-2024 (国家自然科学基金广东联合重点项目，参与)

Former Students