Result Merging for Structured Queries on the Deep Web with Active Relevance Weight Estimation. - Jing Yuan 006; Lihong He 001; Eduard C. Dragut; Weiyi Meng; Clement T. Yu (Inf. Syst., 2017)

Regular Expression Guided Entity Mention Mining from Noisy Web Data. - Shanshan Zhang; Lihong He 001; Slobodan Vucetic; Eduard C. Dragut (EMNLP, 2018)

How to Invest my Time: Lessons from Human-in-the-Loop Entity Extraction. - Shanshan Zhang; Lihong He 001; Eduard C. Dragut; Slobodan Vucetic (KDD, 2019)

On the dynamics of user engagement in news comment media. - Lihong He 001; Chao Han 003; Arjun Mukherjee; Zoran Obradovic; Eduard C. Dragut (WIREs Data Mining Knowl. Discov., 2020)

Cannot Predict Comment Volume of a News Article before (a few) Users Read It. - Lihong He 001; Chen Shen 009; Arjun Mukherjee; Slobodan Vucetic; Eduard C. Dragut (ICWSM, 2021)

Session-based News Recommendation from Temporal User Commenting Dynamics. - Chen Shen 009; Chao Han 003; Lihong He 001; Arjun Mukherjee; Zoran Obradovic; Eduard C. Dragut (ASONAM, 2022)

COIN - an Inexpensive and Strong Baseline for Predicting Out of Vocabulary Word Embeddings. - Andrew T. Schneider; Lihong He 001; Zhijia Chen; Arjun Mukherjee; Eduard C. Dragut (COLING, 2022)

Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture. - Bingsheng Yao; Ishan Jindal; Lucian Popa 001; Yannis Katsis; Sayan Ghosh; Lihong He 001; Yuxuan Lu 003; Shashank Srivastava; Yunyao Li 001; James A. Hendler; Dakuo Wang (EMNLP (Findings), 2023)

Beyond Labels: Empowering Human with Natural Language Explanations through a Novel Active-Learning Architecture. - Bingsheng Yao; Ishan Jindal; Lucian Popa 001; Yannis Katsis; Sayan Ghosh; Lihong He 001; Yuxuan Lu 003; Shashank Srivastava; James A. Hendler; Dakuo Wang (CoRR, 2023)

Comquest: Large Scale User Comment Crawling and Integration. - Zhijia Chen; Lihong He 001; Arjun Mukherjee; Eduard C. Dragut (SIGMOD Conference Companion, 2024)

A Library of LLM Intrinsics for Retrieval-Augmented Generation. - Marina Danilevsky; Kristjan Greenewald; R. Chulaka Gunasekara; Maeda F. Hanafi; Lihong He 001; Yannis Katsis; Krishnateja Killamsetty; Yatin Nandwani; Lucian Popa 001; Dinesh Raghu; Frederick Reiss 001; Vraj Shah; et al. (CoRR, 2025)