Lihong He

According to our database, Lihong He authored at least 10 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Comquest: Large Scale User Comment Crawling and Integration.

Zhijia Chen, Lihong He, Arjun Mukherjee, Eduard C. Dragut

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

2023

Beyond Labels: Empowering Human with Natural Language Explanations through a Novel Active-Learning Architecture.

Bingsheng Yao, Ishan Jindal, Lucian Popa, Yannis Katsis, Sayan Ghosh, Lihong He, Yuxuan Lu, Shashank Srivastava, James A. Hendler, Dakuo Wang

CoRR, 2023

Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture.

Bingsheng Yao, Ishan Jindal, Lucian Popa, Yannis Katsis, Sayan Ghosh, Lihong He, Yuxuan Lu, Shashank Srivastava, Yunyao Li, James A. Hendler, Dakuo Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

COIN - an Inexpensive and Strong Baseline for Predicting Out of Vocabulary Word Embeddings.

Andrew T. Schneider, Lihong He, Zhijia Chen, Arjun Mukherjee, Eduard C. Dragut

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Session-based News Recommendation from Temporal User Commenting Dynamics.

Chen Shen, Chao Han, Lihong He, Arjun Mukherjee, Zoran Obradovic, Eduard C. Dragut

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021

Cannot Predict Comment Volume of a News Article before (a few) Users Read It.

Lihong He, Chen Shen, Arjun Mukherjee, Slobodan Vucetic, Eduard C. Dragut

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

2020

On the dynamics of user engagement in news comment media.

Lihong He, Chao Han, Arjun Mukherjee, Zoran Obradovic, Eduard C. Dragut

WIREs Data Mining Knowl. Discov., 2020

2019

How to Invest my Time: Lessons from Human-in-the-Loop Entity Extraction.

Shanshan Zhang, Lihong He, Eduard C. Dragut, Slobodan Vucetic

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Regular Expression Guided Entity Mention Mining from Noisy Web Data.

Shanshan Zhang, Lihong He, Slobodan Vucetic, Eduard C. Dragut

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Result Merging for Structured Queries on the Deep Web with Active Relevance Weight Estimation.

Jing Yuan, Lihong He, Eduard C. Dragut, Weiyi Meng, Clement T. Yu

Inf. Syst., 2017