Multi-Type Itemset Embedding for Learning Behavior Success. - Daheng Wang; Meng Jiang 001; Qingkai Zeng 001; Zachary Eberhart; Nitesh V. Chawla (KDD, 2018)

Through the eyes of a poet: classical poetry recommendation with visual input on social media. - Daniel Yue Zhang; Bo Ni; Qiyu Zhi; Thomas Plummer; Qi Li 016; Hao Zheng 006; Qingkai Zeng 001; Yang Zhang 031; Dong Wang 002 (ASONAM, 2019)

A Study of Person Entity Extraction and Profiling from Classical Chinese Historiography. - Yihong Ma; Qingkai Zeng 001; Tianwen Jiang; Liang Cai; Meng Jiang 001 (EYRE@CIKM, 2019)

Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method. - Qingkai Zeng 001; Mengxia Yu; Wenhao Yu 002; Jinjun Xiong; Yiyu Shi 001; Meng Jiang 001 (TextGraphs@EMNLP, 2019)

Tablepedia: Automating PDF Table Reading in an Experimental Evidence Exploration and Analytic System. - Wenhao Yu 002; Zongze Li; Qingkai Zeng 001; Meng Jiang 001 (WWW, 2019)

Crossing Variational Autoencoders for Answer Retrieval. - Wenhao Yu 002; Lingfei Wu 001; Qingkai Zeng 001; Shu Tao; Yu Deng 004; Meng Jiang 001 (ACL, 2020)

A Technical Question Answering System with Transfer Learning. - Wenhao Yu 002; Lingfei Wu 001; Yu Deng 004; Ruchi Mahindru; Qingkai Zeng 001; Sinem Güven; Meng Jiang 001 (EMNLP (Demos), 2020)

Tri-Train: Automatic Pre-Fine Tuning between Pre-Training and Fine-Tuning for SciNER. - Qingkai Zeng 001; Wenhao Yu 002; Mengxia Yu; Tianwen Jiang; Tim Weninger; Meng Jiang 001 (EMNLP (Findings), 2020)

Towards Semantically Guided Traceability. - Yalin Liu; Jinfeng Lin; Qingkai Zeng 001; Meng Jiang 001; Jane Cleland-Huang (RE, 2020)

Experimental Evidence Extraction System in Data Science with Hybrid Table Features and Ensemble Learning. - Wenhao Yu 002; Wei Peng; Yu Shu; Qingkai Zeng 001; Meng Jiang 001 (WWW, 2020)

Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph. - Chenguang Zhu 001; William Hinthorn; Ruochen Xu; Qingkai Zeng 001; Michael Zeng 001; Xuedong Huang 001; Meng Jiang 001 (CoRR, 2020)

Validating Label Consistency in NER Data Annotation. - Qingkai Zeng 001; Mengxia Yu; Wenhao Yu 002; Tianwen Jiang; Meng Jiang 001 (Eval4NLP, 2021)

Traceability Transformed: Generating more Accurate Links with Pre-Trained BERT Models. - Jinfeng Lin; Yalin Liu; Qingkai Zeng 001; Meng Jiang 001; Jane Cleland-Huang (ICSE, 2021)

Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations. - Qingkai Zeng 001; Jinfeng Lin; Wenhao Yu 002; Jane Cleland-Huang; Meng Jiang 001 (KDD, 2021)

Technical Question Answering across Tasks and Domains. - Wenhao Yu 002; Lingfei Wu 001; Yu Deng 004; Qingkai Zeng 001; Ruchi Mahindru; Sinem Güven; Meng Jiang 001 (NAACL-HLT (Industry Papers), 2021)

Enhancing Factual Consistency of Abstractive Summarization. - Chenguang Zhu 001; William Hinthorn; Ruochen Xu; Qingkai Zeng 001; Michael Zeng 001; Xuedong Huang 001; Meng Jiang 001 (NAACL-HLT, 2021)

Validating Label Consistency in NER Data Annotation. - Qingkai Zeng 001; Mengxia Yu; Wenhao Yu 002; Tianwen Jiang; Tim Weninger; Meng Jiang 001 (CoRR, 2021)

Biomedical Knowledge Graphs Construction From Conditional Statements. - Tianwen Jiang; Qingkai Zeng 001; Tong Zhao 003; Bing Qin 001; Ting Liu 001; Nitesh V. Chawla; Meng Jiang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding. - Daheng Wang; Qingkai Zeng 001; Nitesh V. Chawla; Meng Jiang 001 (ACM Trans. Intell. Syst. Technol., 2021)

Automatic Controllable Product Copywriting for E-Commerce. - Xiaojie Guo 002; Qingkai Zeng 001; Meng Jiang 001; Yun Xiao; Bo Long; Lingfei Wu 001 (KDD, 2022)

Enhancing Automated Software Traceability by Transfer Learning from Open-World Data. - Jinfeng Lin; Amrit Poudel; Wenhao Yu 002; Qingkai Zeng 001; Meng Jiang 001; Jane Cleland-Huang (CoRR, 2022)

Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models. - Zhihan Zhang 001; Shuohang Wang; Wenhao Yu 002; Yichong Xu; Dan Iter; Qingkai Zeng 001; Yang Liu 124; Chenguang Zhu 001; Meng Jiang 001 (EMNLP (Findings), 2023)

Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples. - Qingkai Zeng 001; Yuyang Bai; Zhaoxuan Tan; Shangbin Feng; Zhenwen Liang; Zhihan Zhang 001; Meng Jiang 001 (CIKM, 2024)

ChatEL: Entity Linking with Chatbots. - Yifan Ding; Qingkai Zeng 001; Tim Weninger (LREC/COLING, 2024)

Large Language Models Can Self-Correct with Key Condition Verification. - Zhenyu Wu 004; Qingkai Zeng 001; Zhihan Zhang 001; Zhaoxuan Tan; Chao Shen; Meng Jiang 001 (EMNLP, 2024)

Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning. - Zhaoxuan Tan; Qingkai Zeng 001; Yijun Tian 001; Zheyuan Liu 010; Bing Yin; Meng Jiang 001 (EMNLP, 2024)

EntGPT: Linking Generative Large Language Models with Knowledge Bases. - Yifan Ding; Amrit Poudel; Qingkai Zeng 001; Tim Weninger; Balaji Veeramani; Sanmitra Bhattacharya (CoRR, 2024)

Large Language Models Can Self-Correct with Minimal Effort. - Zhenyu Wu 004; Qingkai Zeng 001; Zhihan Zhang 001; Zhaoxuan Tan; Chao Shen; Meng Jiang 001 (CoRR, 2024)

CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts. - Qingkai Zeng 001; Yuyang Bai; Zhaoxuan Tan; Zhenyu Wu 004; Shangbin Feng; Meng Jiang 001 (ACL (Findings), 2025)

Enhancing Mathematical Reasoning in LLMs by Stepwise Correction. - Zhenyu Wu 004; Qingkai Zeng 001; Zhihan Zhang 001; Zhaoxuan Tan; Chao Shen; Meng Jiang 001 (ACL (1), 2025)

Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench. - Zheyuan Liu 010; Guangyao Dou; Mengzhao Jia; Zhaoxuan Tan; Qingkai Zeng 001; Yongle Yuan; Meng Jiang 001 (NAACL (Long Papers), 2025)

Can Large Language Models Understand Preferences in Personalized Recommendation? - Zhaoxuan Tan; Zinan Zeng; Qingkai Zeng 001; Zhenyu Wu 004; Zheyuan Liu 010; Fengran Mo; Meng Jiang 001 (CoRR, 2025)

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey. - Bo Ni; Zheyuan Liu 010; Leyao Wang; Yongjia Lei; Yuying Zhao; Xueqi Cheng; Qingkai Zeng 001; Luna Dong; Yinglong Xia; Krishnaram Kenthapadi; Ryan A. Rossi; Franck Dernoncourt; et al. (CoRR, 2025)

Graph Foundation Models: A Comprehensive Survey. - Zehong Wang; Zheyuan Liu 010; Tianyi Ma; Jiazheng Li 012; Zheyuan Zhang; Xingbo Fu; Yiyang Li; Zhengqing Yuan; Wei Song; Yijun Ma; Qingkai Zeng 001; Xiusi Chen; et al. (CoRR, 2025)