Publications
2024
[C20] Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Zhenyu Wu，Shangbin Feng, Meng Jiang. CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts, arXiv preprint arXiv:2408.09070 (2024). [PDF]
[C19] Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Zhenwen Liang, Zhihan Zhang, Meng Jiang. Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples, In Proceedings of the ACM International Conference on Information & Knowledge Management (CIKM), 2024. [PDF]
[C18] Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bin Yin, Meng Jiang. Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning, arXiv preprint arXiv:2402.04401 (2024). [PDF]
[C17] Yifan Ding, Amrit Poudel, Qingkai Zeng, Tim Weninger, Balaji Veeramani, Sanmitra Bhattacharya. EntGPT: Linking Generative Large Language Models with Knowledge Bases, arXiv preprint arXiv:2402.06738 (2024). [PDF]
2023
[W5] Qingkai Zeng, Zhihan Zhang, Jinfeng Lin, Meng Jiang. Completing Taxonomies with Relation-Aware Mutual Attentions, In the Workshop on Mining and Learning with Graphs (MLG) in conjunction with the ACM SIGKDD international conference on Knowledge discovery and data mining (KDD), 2023. [PDF]
[C16] Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang. Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models, In Findings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. [PDF]
[C15] Zhenwen Liang, Dian Yu, Xiaoman Pan, Wenlin Yao, Qingkai Zeng, Xiangliang Zhang, Dong Yu. MinT: Boosting Generalization in Mathematical Reasoning via Multi-View Fine-Tuning, arXiv preprint arXiv:2307.07951 (2023). [PDF]
2022
- [C14] Xiaojie Guo, Qingkai Zeng, Meng Jiang, Yun Xiao, Bo Long, Lingfei Wu. Automatic Controllable Product Copywriting for E-Commerce, In Proceedings of the ACM SIGKDD international conference on Knowledge discovery and data mining (KDD), 2022. [PDF]
2021
[C13] Qingkai Zeng, Jinfeng Lin, Wenhao Yu, Jane Cleland-Huang, Meng Jiang, Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations, In Proceedings of the ACM SIGKDD international conference on Knowledge discovery and data mining (KDD), 2021 . [PDF]
[W4] Qingkai Zeng, Mengxia Yu, Wenhai Yu, Tianwen Jiang, Meng Jiang, Validating Label Consistency in NER Data Annotation, in the Workshop on Evaluation and Comparison of NLP Systems (Eval4NLP) in conjunction with Conference on Empirical Methods in Natural Language Processing (EMNLP ), 2021. [PDF]
[C12] Wenhao Yu, Lingfei Wu, Qingkai Zeng, Yu Deng, Ruchi Mahindru, Sinem Guven, Meng Jiang, Technical Question Answering across Tasks and Domains, In Proceedings of North American Chapter of the Association for Computational Linguistics (NAACL), 2021. [PDF]
[C11] Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang, Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph, In Proceedings of North American Chapter of the Association for Computational Linguistics (NAACL), 2021 . [PDF]
[C10] Jinfeng Lin, Yalin Liu, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang, Traceability Transformed: Generating More Accurate Links with Pre-Trained BERT Models, in Proceeding of IEEE/ACM International Conference on Software Engineering (ICSE), 2021. [PDF] (ACM SIGSOFT Distinguished Paper Award)
2020
[C9] Wenhao Yu, Lingfei Wu, Yu Deng, Ruchi Mahindru, Qingkai Zeng, Sinem Guven, Meng Jiang, A Technical Question Answering System with Transfer Learning, Proceedings of Empirical Methods on Natural Language Processing (EMNLP), 2020. (demo) [PDF]
[C8] Qingkai Zeng, Wenhao Yu, Mengxia Yu, Tianwen Jiang, Tim Weninger, Meng Jiang, Tri-Train: Automatic Pre-fine Tuning between Pre-training and Fine-tune Training for SciNER, Findings of Empirical Methods on Natural Language Processing (EMNLP), 2020. [PDF]
[C7] Yalin Liu, Jinfeng Lin, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang, Towards Semantically Guided Traceability, in Proceedings of IEEE International Requirements Engineering Conference (RE), August 2020. (RE@NEXT! track) [PDF]
[J3] Daheng Wang, Qingkai Zeng, Nitesh Chawla, Meng Jiang, Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding, ACM Transaction on Intelligent Systems and Technology (TIST). [PDF]
[J2] Meng Jiang, Brooke A. Ammerman, Qingkai Zeng, Ross Jacobucci, Alex Brodersen, Phrase-level Pairwise Topic Modeling to Uncover Helpful Peer Responses to Online Suicidal Crises, Humanities & Social Sciences Communications (formerly known as Nature Palgrave Communications). [Pdf]
[C6] Wenhao Yu, Lingfei Wu, Qingkai Zeng, Shu Tao, Yu Deng, Meng Jiang, Crossing Variational Autoencoders for Answer Retrieval, In Proceeding of Annual Conference of the Association for Computational Linguistics (ACL), 2020. [PDF]
[C5] Wenhao Yu, Wei Peng, Yu Shu, Qingkai Zeng, Meng Jiang, Experimental Evidence Extraction System in Data Science with Hybrid Table Features and Ensemble Learning, In Proceeding of International World Wide Web Conference (WWW), 2020. (Oral) [PDF]
[W3] Wenhao Yu, Lingfei Wu, Shu Tao, Yu Deng, Qingkai Zeng, Meng Jiang, Generating Helpful Responses for Intelligent Tech Support, In the Workshop on Reasoning for Complex QA (RCQA) in conjunction at AAAI Conference on Artificial Intelligence (AAAI), 2020. [PDF]
[J1] Tianwen Jiang, Qingkai Zeng, Tong Zhao, Bing Qin, Ting Liu, Nitesh Chawla, Meng Jiang, Biomedical Knowledge Graphs Construction from Conditional Statements. IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 2020. [PDF]
2019
[W2] Qingkai Zeng, Mengxia Yu, Wenhao Yu, Jinjun Xiong, Yiyu Shi, Meng Jiang, Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method, In the Workshop on Graph-Based Natural Language Processing (TextGraphs) at Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019. [PDF] [Code]
[C4] Daniel (Yue) Zhang, Bo Ni, Qiyu Zhi, Thomas Plummer, Qi Li, Hao Zheng, Qingkai Zeng, Yang Zhang, Dong Wang, Through the eyes of a poet: classical poetry recommendation with visual input on social media, In Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2019.
[C3] Wenhao Yu, Zongze Li, Qingkai Zeng, Meng Jiang, Tablepedia: Automating PDF Table Reading in an Experimental Evidence Exploration and Analytic System, In Proceeding of International World Wide Web Conference (WWW), 2019. (Demo) [PDF] [Demo]
[W1] Yihong Ma, Qingkai Zeng, Tianwen Jiang, Liang Cai, Meng Jiang, A Study of Person Entity Extraction and Profiling from Classical Chinese Historiography, International Workshop on EntitY REtrieval (EYRE) at ACM International Conference on Information and Knowledge Management (CIKM), 2019.
2018
- [C2] Daheng Wang, Meng Jiang, Qingkai Zeng, Zachary Eberhart, Nitesh Chawla, Multi-Type Itemset Embedding for Learning Behavior Success, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2018.
- [C1] Daheng Wang, Meng Jiang, Xueying Wang, Tong Zhao, Qingkai Zeng, Nitesh Chawla, A Project Showcase for Planning Research Work towards Publishable Success, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2018. (Demo)