| Critically examining the" neural hype" weak baselines and the additivity of effectiveness gains from neural ranking models W Yang, K Lu, P Yang, J Lin Proceedings of the 42nd international ACM SIGIR conference on research and …, 2019 | 158 | 2019 |
| Covidex: Neural ranking models and keyword search infrastructure for the covid-19 open research dataset E Zhang, N Gupta, R Tang, X Han, R Pradeep, K Lu, Y Zhang, R Nogueira, ... arXiv preprint arXiv:2007.07846, 2020 | 69 | 2020 |
| Leveraging Entities in Background Document Retrieval for News Articles. K Lu, H Fang TREC, 2019 | 13 | 2019 |
| Paragraph as Lead-Finding Background Documents for News Articles. K Lu, H Fang TREC, 2018 | 10 | 2018 |
| Learning2extract for medical domain retrieval Y Wang, K Lu, H Fang Information Retrieval Technology: 13th Asia Information Retrieval Societies …, 2017 | 7 | 2017 |
| Concept based tie-breaking and maximal marginal relevance retrieval in microblog retrieval K Lu, D Roa, H Fang Proceedings of The Twenty-Fourth Text REtrieval Conference, TREC 2014 …, 2014 | 4 | 2014 |
| Silent day detection on microblog data K Lu, H Fang Natural Language Processing and Information Systems: 23rd International …, 2018 | 2 | 2018 |
| Query Performance Prediction and Topic Shift in Microblog Retrieval K Lu, H Fang Proceedings of The Twenty-Fourth Text REtrieval Conference, TREC 2016 …, 2016 | 2 | 2016 |
| Event Oriented Query Expansion for News Event Queries. K Lu, H Fang Proceedings of The Twenty-Fourth Text REtrieval Conference, TREC 2015 …, 2015 | 2 | 2015 |
| A unified framework for event related information seeking K Lu University of Delaware, 2020 | | 2020 |
| Silent Day Detection in Real-Time Summarization Track. K Lu, P Yang, H Fang TREC, 2017 | | 2017 |
| Improving Retrieval Effectiveness for Temporal-Constrained Top-K Query Processing H Wu, K Lu, X Li, H Fang Information Retrieval Technology: 13th Asia Information Retrieval Societies …, 2017 | | 2017 |
| Aspect Based Background Document Retrieval for News K Lu, H Fang | | |
