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2020 – today
- 2023
[j22]Xuanang Chen, Ben He
, Kai Hui, Le Sun, Yingfei Sun:
Dealing with textual noise for robust and effective BERT re-ranking. Inf. Process. Manag. 60(1): 103135 (2023)- 2022
- [j21]Ben He, Yi Chen, Yonghui Zhou, Yongrong Wang, Yanli Chen:
A novel two-dimensional reversible data hiding scheme based on high-efficiency histogram shifting for JPEG images. Int. J. Distributed Sens. Networks 18(3): 155013292210842 (2022) - [j20]Xin Shi, Xiaobin Zhang, Fei Zhuang, Yanqiao Lu, Feng Liang, Naishi Zhao, Xia Wang, Yi Li, Zhaohua Cai, Zhiqiang Wu, Linghong Shen, Ben He:
Congestive heart failure detection based on attention mechanism-enabled bi-directional long short-term memory model in the internet of medical things. J. Ind. Inf. Integr. 30: 100402 (2022) - [c92]Xiaoyang Chen, Ben He, Le Sun:
Groupwise Query Performance Prediction with BERT. ECIR (2) 2022: 64-74 - [c91]Xiaoyang Chen, Kai Hui, Ben He, Xianpei Han, Le Sun, Zheng Ye:
Incorporating Ranking Context for End-to-End BERT Re-ranking. ECIR (1) 2022: 111-127 - [c90]Xuanang Chen, Jian Luo, Ben He, Le Sun, Yingfei Sun:
Towards Robust Dense Retrieval via Local Ranking Alignment. IJCAI 2022: 1980-1986 - [c89]Ying Zhou, Xuanang Chen, Ben He, Zheng Ye, Le Sun:
Re-thinking Knowledge Graph Completion Evaluation from an Information Retrieval Perspective. SIGIR 2022: 916-926 - [i10]Xiaoyang Chen, Ben He, Le Sun:
Groupwise Query Performance Prediction with BERT. CoRR abs/2204.11489 (2022) - [i9]Ying Zhou, Xuanang Chen, Ben He, Zheng Ye, Le Sun:
Re-thinking Knowledge Graph Completion Evaluation from an Information Retrieval Perspective. CoRR abs/2205.04105 (2022) - 2021
- [j19]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): 102672 (2021) - [c88]Xuanang Chen, Ben He, Kai Hui, Le Sun, Yingfei Sun:
Simplified TinyBERT: Knowledge Distillation for Document Retrieval. ECIR (2) 2021: 241-248 - [c87]Xuanang Chen, Ben He, Kai Hui, Yiran Wang, Le Sun, Yingfei Sun:
Contextualized Offline Relevance Weighting for Efficient and Effective Neural Retrieval. SIGIR 2021: 1617-1621 - [i8]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 abs/2104.08523 (2021) - [i7]Ning Bian, Xianpei Han, Bo Chen, Hongyu Lin, Ben He, Le Sun:
Bridging the Gap between Language Model and Reading Comprehension: Unsupervised MRC via Self-Supervision. CoRR abs/2107.08582 (2021) - 2020
- [j18]Danrui Xiao, Zixun Fan, Wu Jiaqi, Hua Liu, Linghong Shen, Ben He, Min Zhang:
Rational molecular targeting of the inter-subunit interaction between human cardiac troponin hcTnC and hcTnI using switch peptide-competitive biogenic medicines. Comput. Biol. Chem. 87: 107272 (2020) - [j17]Le Wang, Ze Luo, Canjia Li, Ben He, Le Sun, Hao Yu, Yingfei Sun:
An end-to-end pseudo relevance feedback framework for neural document retrieval. Inf. Process. Manag. 57(2): 102182 (2020) - [c86]Bo Chen, Xianpei Han, Ben He, Le Sun:
Learning to Map Frequent Phrases to Sub-Structures of Meaning Representation for Neural Semantic Parsing. AAAI 2020: 7546-7553 - [c85]Lingyong Yan, Xianpei Han, Ben He, Le Sun:
End-to-End Bootstrapping Neural Network for Entity Set Expansion. AAAI 2020: 9402-9409 - [c84]Zhi Zheng, Ben He:
Constructing a Relevance-oriented Dataset for Training Transformer Rankers for Medical Search. BIBM 2020: 3012-3016 - [c83]Lingyong Yan, Xianpei Han, Ben He, Le Sun:
Global Bootstrapping Neural Network for Entity Set Expansion. EMNLP (Findings) 2020: 3705-3714 - [c82]Zhi Zheng, Kai Hui, Ben He, Xianpei Han, Le Sun, Andrew Yates:
BERT-QE: Contextualized Query Expansion for Document Re-ranking. EMNLP (Findings) 2020: 4718-4728 - [c81]Lei Liu, Xiaoyang Chen, Ben He:
End-to-End Multi-task Learning for Allusion Detection in Ancient Chinese Poems. KSEM (2) 2020: 300-311 - [c80]Xuanang Chen, Ben He, Le Sun, Yingfei Sun:
ICIP at TREC-2020 Deep Learning Track. TREC 2020 - [i6]Canjia Li, Andrew Yates, Sean MacAvaney, Ben He, Yingfei Sun:
PARADE: Passage Representation Aggregation for Document Reranking. CoRR abs/2008.09093 (2020) - [i5]Zhi Zheng, Kai Hui, Ben He, Xianpei Han, Le Sun, Andrew Yates:
BERT-QE: Contextualized Query Expansion for Document Re-ranking. CoRR abs/2009.07258 (2020) - [i4]Xuanang Chen, Ben He, Kai Hui, Le Sun, Yingfei Sun:
Simplified TinyBERT: Knowledge Distillation for Document Retrieval. CoRR abs/2009.07531 (2020)
2010 – 2019
- 2019
- [c79]Hao Nie, Xianpei Han, Ben He, Le Sun, Bo Chen, Wei Zhang, Suhui Wu, Hao Kong:
Deep Sequence-to-Sequence Entity Matching for Heterogeneous Entity Resolution. CIKM 2019: 629-638 - [c78]Lingyong Yan, Xianpei Han, Le Sun, Ben He:
Learning to Bootstrap for Entity Set Expansion. EMNLP/IJCNLP (1) 2019: 292-301 - [c77]Xuanang Chen, Canjia Li, Ben He, Yingfei Sun:
UCAS at TREC-2019 Deep Learning Track. TREC 2019 - [i3]Yiyu Wang, Jungang Xu, Yingfei Sun, Ben He:
Image Captioning based on Deep Learning Methods: A Survey. CoRR abs/1905.08110 (2019) - 2018
- [j16]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): 91-108 (2018) - [j15]Jimmy Xiangji Huang, Ben He, Jiashu Zhao:
Mining authoritative and topical evidence from the blogosphere for improving opinion retrieval. Inf. Syst. 78: 199-213 (2018) - [c76]Cancan Jin, Ben He, Kai Hui, Le Sun:
TDNN: A Two-stage Deep Neural Network for Prompt-independent Automated Essay Scoring. ACL (1) 2018: 1088-1097 - [c75]Canjia Li, Ben He, Le Sun, Yingfei Sun:
Neural Precision Medicine by Mining Implicit Treatment Concepts. BIBM 2018: 893-898 - [c74]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: 4482-4491 - [c73]Yang Fan, Jungang Xu, Yingfei Sun, Ben He:
Long-Term Recurrent Merge Network Model for Image Captioning. ICTAI 2018: 254-259 - [c72]Yanhua Ran, Ben He, Jungang Xu:
A Study on Performance Sensitivity to Data Sparsity for Automated Essay Scoring. KSEM (1) 2018: 104-116 - [c71]Zhi Zheng, Canjia Li, Ben He, Jungang Xu:
UCAS at TREC-2018 Precision Medicine Track. TREC 2018 - [r9]Ben He:
Document Length Normalization. Encyclopedia of Database Systems (2nd ed.) 2018 - [r8]Ben He:
Probability Ranking Principle. Encyclopedia of Database Systems (2nd ed.) 2018 - [r7]Ben He:
Query Expansion Models. Encyclopedia of Database Systems (2nd ed.) 2018 - [r6]Ben He:
Rocchio's Formula. Encyclopedia of Database Systems (2nd ed.) 2018 - [i2]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 abs/1810.12936 (2018) - 2017
- [j14]Chenhao Yang, Ben He, Canjia Li, Jungang Xu:
A Feedback-Based Approach to Utilizing Embeddings for Clinical Decision Support. Data Sci. Eng. 2(4): 316-327 (2017) - [c70]Chenhao Yang, Ben He, Jungang Xu:
Integrating Feedback-Based Semantic Evidence to Enhance Retrieval Effectiveness for Clinical Decision Support. APWeb/WAIM (2) 2017: 153-168 - [c69]Yanhua Ran, Ben He, Kai Hui, Jungang Xu, Le Sun:
A document-based neural relevance model for effective clinical decision support. BIBM 2017: 798-804 - [c68]Qi Wang, Jungang Xu, Ben He, Zhengcai Qin:
An Improved Convolutional Neural Network for Sentence Classification Based on Term Frequency and Segmentation. ICANN (2) 2017: 56-63 - [c67]Qi Wang, Jungang Xu, Hong Chen, Ben He:
Two improved continuous bag-of-word models. IJCNN 2017: 2851-2856 - [c66]Cancan Jin, Ben He, Jungang Xu:
A Study of Distributed Semantic Representations for Automated Essay Scoring. KSEM 2017: 16-28 - [c65]Canjia Li, Ben He, Yingfei Sun, Jungang Xu:
UCAS at TREC-2017 Precision Medicine Track. TREC 2017 - [i1]Chenhao Yang, Ben He, Yanhua Ran:
Utilizing Embeddings for Ad-hoc Retrieval by Document-to-document Similarity. CoRR abs/1708.03181 (2017) - 2016
- [j13]Xin Zhang, Ben He, Tiejian Luo:
Training query filtering for semi-supervised learning to rank with pseudo labels. World Wide Web 19(5): 833-864 (2016) - [c64]Chenhao Yang, Ben He:
A novel semantics-based approach to medical literature search. BIBM 2016: 1616-1623 - [c63]Guolu Wang, Jungang Xu, Ben He:
A Novel Method for Tuning Configuration Parameters of Spark Based on Machine Learning. HPCC/SmartCity/DSS 2016: 586-593 - [c62]Hong Chen, Jungang Xu, Qi Wang, Ben He:
A Document Modeling Method Based on Deep Generative Model and Spectral Hashing. KSEM 2016: 402-413 - [c61]Jungang Xu, Hong Chen, Shilong Zhou, Ben He:
Multilevel Syntactic Parsing Based on Recursive Restricted Boltzmann Machines and Learning to Rank. PAISI 2016: 53-62 - [c60]Qingli Ma, Ben He, Jungang Xu:
Direct measurement of training query quality for learning to rank. SAC 2016: 1035-1040 - [c59]Qingli Ma, Ben He, Jungang Xu, Bin Wang:
A Set-Based Training Query Classification Approach for Twitter Search. WAIM (1) 2016: 491-503 - 2015
- [c58]Dongxing Li, Ben He, Tiejian Luo, Xin Zhang:
Selecting Training Data for Learning-Based Twitter Search. ECIR 2015: 501-506 - [c57]Cancan Jin, Ben He:
Utilizing Latent Semantic Word Representations for Automated Essay Scoring. UIC/ATC/ScalCom 2015: 1101-1108 - 2014
- [j12]Hongbo Chen, Jungang Xu, Ben He:
Automated Essay Scoring by Capturing Relative Writing Quality. Comput. J. 57(9): 1318-1330 (2014) - [j11]Jungang Xu, Hui Li, Yan Zhao, Ben He:
Online High-Quality Topic Detection for Bulletin Board Systems. IEICE Trans. Inf. Syst. 97-D(2): 255-265 (2014) - [c56]XinZhang Zhao, Ben He, Fang-Yuan Xu, Loi Lei Lai, Chenhao Yang, Sha Lu, Dongxing Li:
A model of Demand Response scheduling for cement plant. SMC 2014: 3042-3047 - [c55]Qingli Ma, Ben He, Dongxing Li:
UCAS at TREC-2014 Microblog Track. TREC 2014 - 2013
- [j10]Jimmy Xiangji Huang, Jun Miao, Ben He:
High performance query expansion using adaptive co-training. Inf. Process. Manag. 49(2): 441-453 (2013) - [j9]Zheng Ye, Ben He, Lifeng Wang, Tiejian Luo:
Utilizing term proximity for blog post retrieval. J. Assoc. Inf. Sci. Technol. 64(11): 2278-2298 (2013) - [j8]Craig Macdonald, Rodrygo L. T. Santos, Iadh Ounis, Ben He:
About learning models with multiple query-dependent features. ACM Trans. Inf. Syst. 31(3): 11 (2013) - [c54]Sha Lu, Ben He, Jungang Xu:
Hyper-geometric Model for Information Retrieval Revisited. AIRS 2013: 62-73 - [c53]Xin Zhang, Ben He, Tiejian Luo, Dongxing Li, Jungang Xu:
Clustering-based transduction for learning a ranking model with limited human labels. CIKM 2013: 1777-1782 - [c52]Kai Hui, Bin Gao, Ben He, Tiejian Luo:
Sponsored Search Ad Selection by Keyword Structure Analysis. ECIR 2013: 230-241 - [c51]Hongbo Chen, Ben He:
Automated Essay Scoring by Maximizing Human-Machine Agreement. EMNLP 2013: 1741-1752 - [c50]Yu Huang, Tiejian Luo, Xiang Wang, Kai Hui, Wengjie Wang, Ben He:
On Evaluating Query Performance Predictors. ICPCA/SWS 2013: 184-194 - [c49]Xin Zhang, Ben He, Tiejian Luo:
Learn to Rank Tweets by Integrating Query-Specific Characteristics. BSI@PAKDD/BSIC@IJCAI 2013: 224-236 - [c48]Dongxing Li, Ben He, Xin Zhang, Tiejian Luo:
UCAS at TREC-2013 Microblog Track. TREC 2013 - 2012
- [j7]Zheng Ye, Jimmy Xiangji Huang, Ben He, Hongfei Lin:
Mining a multilingual association dictionary from Wikipedia for cross-language information retrieval. J. Assoc. Inf. Sci. Technol. 63(12): 2474-2487 (2012) - [c47]Hongbo Chen, Ben He, Tiejian Luo, Baobin Li:
A Ranked-Based Learning Approach to Automated Essay Scoring. CGC 2012: 448-455 - [c46]Xin Zhang, Ben He, Tiejian Luo, Baobin Li:
Query-biased learning to rank for real-time twitter search. CIKM 2012: 1915-1919 - [c45]Zongcheng Ji, Fei Xu, Bin Wang, Ben He:
Question-answer topic model for question retrieval in community question answering. CIKM 2012: 2471-2474 - [c44]Fuxing Cheng, Xin Zhang, Ben He, Tiejian Luo, Wengjie Wang:
A Survey of Learning to Rank for Real-Time Twitter Search. ICPCA/SWS 2012: 150-164 - [c43]Xin Zhang, Ben He, Tiejian Luo:
Transductive Learning for Real-Time Twitter Search. ICWSM 2012 - [c42]Xin Zhang, Sha Lu, Ben He, Jungang Xu, Tiejian Luo:
UCAS at TREC 2012 Microblog Track. TREC 2012 - 2011
- [j6]Ben He, Jimmy Xiangji Huang, Xiaofeng Zhou:
Modeling term proximity for probabilistic information retrieval models. Inf. Sci. 181(14): 3017-3031 (2011) - [c41]Kai Hui, Ben He, Tiejian Luo, Bin Wang:
Relevance weighting using within-document term statistics. CIKM 2011: 99-104 - [c40]Peng Li, Bin Wang, Wei Jin, Jian-Yun Nie, Zhiwei Shi, Ben He:
Exploring categorization property of social annotations for information retrieval. CIKM 2011: 557-562 - [c39]Kai Hui, Ben He, Tiejian Luo, Bin Wang:
A Comparative Study of Pseudo Relevance Feedback for Ad-hoc Retrieval. ICTIR 2011: 318-322 - [c38]Jiashu Zhao, Jimmy Xiangji Huang, Ben He:
CRTER: using cross terms to enhance probabilistic information retrieval. SIGIR 2011: 155-164 - [c37]Xiaofeng Zhou, Jimmy Xiangji Huang, Ben He:
Enhancing ad-hoc relevance weighting using probability density estimation. SIGIR 2011: 175-184 - [c36]Xin Zhang, Kai Hui, Ben He, Tiejian Luo:
GUCAS at TREC 2011 Microblog Track. TREC 2011 - 2010
- [c35]Zheng Ye, Ben He, Xiangji Huang, Hongfei Lin:
Revisiting Rocchio's Relevance Feedback Algorithm for Probabilistic Models. AIRS 2010: 151-161
2000 – 2009
- 2009
- [j5]Ben He, Robert Schober:
Bit-interleaved coded modulation for hybrid RF/FSO systems. IEEE Trans. Commun. 57(12): 3753-3763 (2009) - [c34]Jie Peng, Craig Macdonald, Ben He, Iadh Ounis:
A study of selective collection enrichment for enterprise search. CIKM 2009: 1999-2002 - [c33]Ben He, Iadh Ounis:
Finding good feedback documents. CIKM 2009: 2011-2014 - [c32]Rodrygo L. T. Santos, Ben He, Craig Macdonald, Iadh Ounis:
Integrating Proximity to Subjective Sentences for Blog Opinion Retrieval. ECIR 2009: 325-336 - [c31]Ben He, Iadh Ounis:
Studying Query Expansion Effectiveness. ECIR 2009: 611-619 - [c30]Ben He, Robert Schober:
Bit-Interleaved Coded Modulation for Hybrid RF/FSO Systems. ICC 2009: 1-6 - [c29]Jie Peng, Ben He, Iadh Ounis:
Predicting the Usefulness of Collection Enrichment for Enterprise Search. ICTIR 2009: 366-370 - [c28]Ben He, Jie Peng, Iadh Ounis:
Fitting score distribution for blog opinion retrieval. SIGIR 2009: 688-689 - [c27]Zheng Ye, Xiangji Huang, Ben He, Hongfei Lin:
York University at TREC 2009: Relevance Feedback Track. TREC 2009 - [r5]Ben He:
Document Length Normalization. Encyclopedia of Database Systems 2009: 940-941 - [r4]Ben He:
Probability Ranking Principle. Encyclopedia of Database Systems 2009: 2168-2169 - [r3]Ben He:
Query Expansion Models. Encyclopedia of Database Systems 2009: 2257-2260 - [r2]Ben He:
Relevance Feedback. Encyclopedia of Database Systems 2009: 2378-2379 - [r1]Ben He:
Rocchio's Formula. Encyclopedia of Database Systems 2009: 2447 - 2008
- [c26]Ben He, Craig Macdonald, Jiyin He, Iadh Ounis:
An effective statistical approach to blog post opinion retrieval. CIKM 2008: 1063-1072 - [c25]Ben He, Craig Macdonald, Iadh Ounis:
Retrieval sensitivity under training using different measures. SIGIR 2008: 67-74 - [c24]Ben He, Craig Macdonald, Iadh Ounis:
Ranking opinionated blog posts using OpinionFinder. SIGIR 2008: 727-728 - [c23]Craig Macdonald, Ben He, Iadh Ounis, Ian Soboroff:
Limits of opinion-finding baseline systems. SIGIR 2008: 747-748 - [c22]Ben He, Craig Macdonald, Iadh Ounis, Jie Peng, Rodrygo L. T. Santos:
University of Glasgow at TREC 2008: Experiments in Blog, Enterprise, and Relevance Feedback Tracks with Terrier. TREC 2008 - 2007
- [j4]Ben He, Iadh Ounis:
Combining fields for query expansion and adaptive query expansion. Inf. Process. Manag. 43(5): 1294-1307 (2007) - [j3]Ben He, Iadh Ounis:
On setting the hyper-parameters of term frequency normalization for information retrieval. ACM Trans. Inf. Syst. 25(3): 13 (2007) - [c21]Ben He, Iadh Ounis:
Parameter sensitivity in the probabilistic model for ad-hoc retrieval. CIKM 2007: 263-272 - [c20]Ben He, Iadh Ounis:
Setting Per-field Normalisation Hyper-parameters for the Named-Page Finding Search Task. ECIR 2007: 468-480 - [c19]Jie Peng, Craig Macdonald, Ben He, Iadh Ounis:
Combination of Document Priors in Web Information Retrieval. RIAO 2007: 596-611 - [c18]Jie Peng, Craig Macdonald, Ben He, Vassilis Plachouras, Iadh Ounis:
Incorporating term dependency in the dfr framework. SIGIR 2007: 843-844 - [c17]David Hannah, Craig Macdonald, Jie Peng, Ben He, Iadh Ounis:
University of Glasgow at TREC 2007: Experiments in Blog and Enterprise Tracks with Terrier. TREC 2007 - 2006
- [b1]Ben He:
Term frequency normalisation for information retrieval. University of Glasgow, UK, 2006 - [j2]Ben He, Iadh Ounis:
Query performance prediction. Inf. Syst. 31(7): 585-594 (2006) - [c16]Christina Lioma, Craig Macdonald, Vassilis Plachouras, Jie Peng, Ben He, Iadh Ounis:
University of Glasgow at TREC 2006: Experiments in Terabyte and Enterprise Tracks with Terrier. TREC 2006 - 2005
- [j1]Rachel Tsz-Wai Lo, Ben He, Iadh Ounis:
Automatically Building a Stopword List for an Information Retrieval System. J. Digit. Inf. Manag. 3(1): 3-8 (2005) - [c15]Christina Lioma, Craig Macdonald, Ben He, Vassilis Plachouras, Iadh Ounis:
Applying Light Natural Language Processing to Ad-Hoc Cross Language Information Retrieval. CLEF 2005: 170-178 - [c14]Christina Lioma, Craig Macdonald, Ben He, Vassilis Plachouras, Iadh Ounis:
Applying Light Natural Language Processing to Ad-Hoc Cross Language Information Retrieval. CLEF (Working Notes) 2005 - [c13]Craig Macdonald, Vassilis Plachouras, Ben He, Christina Lioma, Iadh Ounis:
University of Glasgow at WebCLEF 2005: Experiments in Per-Field Normalisation and Language Specific Stemming. CLEF 2005: 898-907 - [c12]Craig Macdonald, Vassilis Plachouras, Ben He, Christina Lioma, Iadh Ounis:
University of Glasgow at WebCLEF 2005: Experiments in per-field Normalisation and Language Specific Stemming. CLEF (Working Notes) 2005 - [c11]Ben He, Iadh Ounis:
Term Frequency Normalisation Tuning for BM25 and DFR Models. ECIR 2005: 200-214 - [c10]Iadh Ounis, Gianni Amati,