Kai Hui

ORCID

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 36

Top Venues

Saarland University, Saarbrücken, Germany (PHD)

Education History

Saarland University, Saarbrücken, Germany

PHD

Publications

Yi Tay, Vinh Q. Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Prakash Gupta, Tal Schuster, William W. Cohen, Donald Metzler
Transformer Memory as a Differentiable Search Index. CoRR (2022)
Xiaoyang Chen, Kai Hui, Ben He, Xianpei Han, Le Sun, Zheng Ye
Co-BERT: A Context-Aware BERT Retrieval Model Incorporating Local and Query-specific Context. CoRR (2021)
Kai Hui, Klaus Berberich
Transitivity, Time Consumption, and Quality of Preference Judgments in Crowdsourcing. CoRR (2021)
Zhi Zheng, Kai Hui, Ben He, Xianpei Han, Le Sun, Andrew Yates
Contextualized query expansion via unsupervised chunk selection for text retrieval. Inf. Process. Manag. 58 (5) (2021)
Xuanang Chen, Ben He, Kai Hui, Le Sun, Yingfei Sun
Simplified TinyBERT: Knowledge Distillation for Document Retrieval. ECIR (2) (2021)
Xuanang Chen, Ben He, Kai Hui, Yiran Wang, Le Sun, Yingfei Sun
Contextualized Offline Relevance Weighting for Efficient and Effective Neural Retrieval. SIGIR (2021)
Anoop R. Katti, Kai Hui, Adrià de Gispert, Hagen Fürstenau
Question Answering using Web Lists. CIKM (2021)
Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Prakash Gupta, Kai Hui, Sebastian Ruder, Donald Metzler
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. CoRR (2021)
Zhi Zheng, Kai Hui, Ben He, Xianpei Han, Le Sun, Andrew Yates
BERT-QE: Contextualized Query Expansion for Document Re-ranking. CoRR (2020)
Zhi Zheng, Kai Hui, Ben He, Xianpei Han, Le Sun, Andrew Yates
BERT-QE: Contextualized Query Expansion for Document Re-ranking. EMNLP (Findings) (2020)
Xuanang Chen, Ben He, Kai Hui, Le Sun, Yingfei Sun
Simplified TinyBERT: Knowledge Distillation for Document Retrieval. CoRR (2020)
Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder
Overcoming low-utility facets for complex answer retrieval. Inf. Retr. J. 22 (3-4) (2019)
Sean MacAvaney, Andrew Yates, Kai Hui, Ophir Frieder
Content-Based Weak Supervision for Ad-Hoc Re-Ranking. SIGIR (2019)
Cancan Jin, Ben He, Kai Hui, Le Sun
TDNN: A Two-stage Deep Neural Network for Prompt-independent Automated Essay Scoring. ACL (1) (2018)
Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval. EMNLP (2018)
Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval. CoRR (2018)
Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder
Overcoming low-utility facets for complex answer retrieval. CoRR (2018)
Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder
Characterizing Question Facets for Complex Answer Retrieval. CoRR (2018)
Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder
Overcoming Low-Utility Facets for Complex Answer Retrieval. ProfS/KG4IR/Data:Search@SIGIR (2018)
Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo
Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval. WSDM (2018)
Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder
Characterizing Question Facets for Complex Answer Retrieval. SIGIR (2018)
Yanhua Ran, Ben He, Kai Hui, Jungang Xu, Le Sun
Neural relevance model using similarities with elite documents for effective clinical decision support. Int. J. Data Min. Bioinform. 20 (2) (2018)
Sean MacAvaney, Kai Hui, Andrew Yates
An Approach for Weakly-Supervised Deep Information Retrieval. CoRR (2017)
Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo
A Position-Aware Deep Model for Relevance Matching in Information Retrieval. CoRR (2017)
Kai Hui, Klaus Berberich
: Low-Cost Preference Judgments with Ties. ICTIR (2017)
Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo
PACRR: A Position-Aware Neural IR Model for Relevance Matching. EMNLP (2017)
Andrew Yates, Kai Hui
DE-PACRR: Exploring Layers Inside the PACRR Model. CoRR (2017)
Kai Hui, Klaus Berberich
Low-Cost Preference Judgment via Ties. ECIR (2017)
Yanhua Ran, Ben He, Kai Hui, Jungang Xu, Le Sun
A document-based neural relevance model for effective clinical decision support. BIBM (2017)
Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo
Position-Aware Representations for Relevance Matching in Neural Information Retrieval. WWW (Companion Volume) (2017)
Kai Hui, Klaus Berberich, Ida Mele
Dealing with Incomplete Judgments in Cascade Measures. ICTIR (2017)
Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo
RE-PACRR: A Context and Density-Aware Neural Information Retrieval Model. CoRR (2017)
Kai Hui, Klaus Berberich
Transitivity, Time Consumption, and Quality of Preference Judgments in Crowdsourcing. ECIR (2017)
Sean MacAvaney, Andrew Yates, Kai Hui
Contextualized PACRR for Complex Answer Retrieval. TREC (2017)
Kai Hui, Klaus Berberich
Cluster Hypothesis in Low-Cost IR Evaluation with Different Document Representations. WWW (Companion Volume) (2016)
Kai Hui, Klaus Berberich
Selective Labeling and Incomplete Label Mitigation for Low-Cost Evaluation. SPIRE (2015)
Kai Hui
Towards Robust & Reusable Evaluation for Novelty & Diversity. PIKM@CIKM (2014)
Kai Hui, Bin Gao, Ben He, Tiejian Luo
Sponsored Search Ad Selection by Keyword Structure Analysis. ECIR (2013)
Yu Huang, Tiejian Luo, Xiang Wang, Kai Hui, Wengjie Wang, Ben He
On Evaluating Query Performance Predictors. ICPCA/SWS (2013)
Kai Hui, Ben He, Tiejian Luo, Bin Wang
A Comparative Study of Pseudo Relevance Feedback for Ad-hoc Retrieval. ICTIR (2011)
Kai Hui, Ben He, Tiejian Luo, Bin Wang
Relevance weighting using within-document term statistics. CIKM (2011)
Xin Zhang, Kai Hui, Ben He, Tiejian Luo
GUCAS at TREC 2011 Microblog Track. TREC (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kai Hui