I am currently a PhD candidate in Faculty of Computing at Harbin Institute of Technology, advised by Prof. Yi Guan. I am a member of HIT-WI. The current work mainly focuses on NLP, knowledge reasoning and biomedical applications. If you are doing the same research or are interested in my research work, please feel free to email me wanght1998@gmail.com.

I obtained my Bachelor’s degree at the School of Computer Science and Technology, Harbin Engineering University. After being recommended to Harbin Institute of Technology to study for a master’s degree, I applied for a combined master’s and doctoral degree.

🔥 News

• 2024.11: One paper accepted by Neurocomputing!
• 2024.10: One paper accepted by ACM Transactions on Information Systems!
• 2024.07: One paper accepted by IEEE Journal of Biomedical and Health Informatics!
• 2024.06: Four papers accepted by ACL 2024!
• 2023.03: One paper accepted by Journal of Expert Systems with Applications!
• 2023.03: One paper accepted by Journal of Chinese Information Processing!

📄 Preprint

• Zhangyin Feng, Weitao Ma, Weijiang Yu, Lei Huang, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin. Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications. arXiv, 2023.

📝 Publications

• Haotian Wang, Xiyuan Du, Weijiang Yu, Qianglong Chen, Kun Zhu, Zheng Chu, Lian Yan, Yi Guan. Learning to Break: Knowledge-Enhanced Reasoning in Multi-Agent Debate System [J]. In Neurocomputing, 2023. [Code]
• Haotian Wang, Xin Li, Yi Guan, Yang Yang, Xue Li, Jingchi Jiang. Multi-view Representation Learning Network Based on Knowledge Augmentation for Auxiliary Diagnosis [J]. In Journal of Chinese Information Processing, 2023. [Code]
• Haotian Wang, Yi Guan, Linjiang Ma, Xin Li, Yi Lin, Jingchi Jiang. Multi-scale Label Attention Network based on Abductive Causal Graph for Disease Diagnosis [C]. In 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). [Code]
• Lian Yan, Yi Guan, Haotian Wang, Yi Lin, Yang Yang, Boran Wang, Jingchi Jiang. EIRAD: An Evidence-based Dialogue System with Highly Interpretable Reasoning Path for Automatic Diagnosis [J]. In IEEE Journal of Biomedical and Health Informatics, 2024.
• Lian Yan, Yi Guan, Haotian Wang, Yi Lin, Jingchi Jiang. Efficient Evidence-Based Dialogue System for Medical Diagnosis [C]. In 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). [Code]
• Yang Yang, Xue Li, Yi Guan, Haotian Wang, Chaoran Kong, Jingchi Jiang. LHP: Logical hypergraph link prediction [J]. In Journal of Expert Systems with Applications, 2023. [Code]
• Zheng Chu, Jingchang Chen, Qianglong Chen, Haotian Wang, Kun Zhu, Xiyuan Du, Weijiang Yu, Ming Liu, Bing Qin. BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering [C]. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024. [Code]
• Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Haotian Wang, Ming Liu, Bing Qin. TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models [C]. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024.
• Kun Zhu, Xiaocheng Feng, Xiyuan Du, Yuxuan Gu, Weijiang Yu, Haotian Wang, Qianglong Chen, Zheng Chu, Jingchang Chen, Bing Qin. An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation [C]. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024.
• Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu. A survey of chain of thought reasoning: Advances, frontiers and future [C]. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024. [Code]
• Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu. A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions [J]. In ACM Transactions on Information Systems, 2024. [Code]

📂 Industrial Projects

• 2021.12 - (now) National Key R\&D Program of China, Ministry of Science and Technology
• 2021.09 - 2022.09 Project of Reasoning Technology Based on Medical Knowledge, Huawei Cloud Computing Technology Co., Ltd.
• 2019.10 - 2021.12 Domain Knowledge-Based Decision Inference Model Project, Huawei Technologies Co., Ltd

📖 Educations

• 2021.09 - (now), Ph.D. candidate, Harbin Institute of Technology, Harbin
• 2020.09 - 2021.06, Master, Harbin Institute of Technology, Harbin
• 2016.09 - 2020.06, Undergraduate, Harbin Engineering University, Harbin

🎖 Honors and Awards

• 2022.12 First prize of the “Huawei Cloud Cup” 2022 Artificial Intelligence Application Innovation Competition
• 2020.06 Outstanding Graduate Student Award, from Harbin Engineering University
• 2019.06 First Prize of Chinese Collegiate Computing Competition
• 2019.03 Three Good Students in Heilongjiang Province
• 2018.12 National Scholarship, from Ministry Education
• 2810.12 Second Prize of Mathematical Contest in Modeling in Three Provinces of Northeast China
• 2018.06 Second Prize of Innovation Scholarship, from Ministry of Industry and Information Technology
• 2018.06 Second Prize of Heilongjiang Mathematical Contest in Modeling