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Brian D. Davison 0001

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affiliation: Lehigh University, Bethlehem, PA, USA
affiliation (PhD 2002): Rutgers University, New Brunswick, NJ, USA

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Journal Articles

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2022
[j21]
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Ovidiu Dan, Vaibhav Parikh, Brian D. Davison:
IP Geolocation through Reverse DNS. ACM Trans. Internet Techn. 22(1): 17:1-17:29 (2022)
[j20]
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Ovidiu Dan, Vaibhav Parikh, Brian D. Davison:
IP Geolocation through Geographic Clicks. ACM Trans. Spatial Algorithms Syst. 8(1): 1-22 (2022)
2021
[j19]
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Mohamed Trabelsi, Zhiyu Chen, Brian D. Davison, Jeff Heflin:
Neural ranking models for document retrieval. Inf. Retr. J. 24(6): 400-444 (2021)
[j18]
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Youshan Zhang, Brian D. Davison:
Domain adaptation for object recognition using subspace sampling demons. Multim. Tools Appl. 80(15): 23255-23274 (2021)
[j17]
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Wei Wang, Feng Xia, Jian Wu, Zhiguo Gong, Hanghang Tong, Brian D. Davison:
Scholar2vec: Vector Representation of Scholars for Lifetime Collaborator Prediction. ACM Trans. Knowl. Discov. Data 15(3): 40:1-40:19 (2021)
2020
[j16]
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Sicong Kuang, Brian D. Davison:
Learning class-specific word embeddings. J. Supercomput. 76(10): 8265-8292 (2020)
[j15]
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Sicong Kuang, Brian D. Davison:
Correction to: Learning class-specific word embeddings. J. Supercomput. 76(10): 8293 (2020)
2018
[j14]
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Brian D. Davison:
Editorial. ACM Trans. Web 12(2) (2018)
2016
[j13]
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Ovidiu Dan, Brian D. Davison:
Measuring and Predicting Search Engine Users' Satisfaction. ACM Comput. Surv. 49(1): 18:1-18:35 (2016)
2011
[j12]
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Na Dai, Brian D. Davison:
Topic-Sensitive Search Engine Evaluation. Online Inf. Rev. 35(6): 893-908 (2011)
2010
[j11]
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Carlos Castillo, Brian D. Davison:
Adversarial Web Search. Found. Trends Inf. Retr. 4(5): 377-486 (2010)
2009
[j10]
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Qing Ye, Liang Cheng, Mooi Choo Chuah, Brian D. Davison:
Performance comparison of different multicast routing strategies in disruption tolerant networks. Comput. Commun. 32(16): 1731-1741 (2009)
[j9]
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Xiaoguang Qi, Brian D. Davison:
Web page classification: Features and algorithms. ACM Comput. Surv. 41(2): 12:1-12:31 (2009)
2008
[j8]
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Brian D. Davison, Wei Zhang, Baoning Wu:
Connecting P2P to the web: Lessons from a prototype Gnutella-WWW gateway. Internet Res. 18(3): 336-356 (2008)
[j7]
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Carlos Castillo, Kumar Chellapilla, Brian D. Davison:
Adversarial Information Retrieval on the Web (AIRWeb 2007). SIGIR Forum 42(1): 68-72 (2008)
[j6]
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Marc Najork, Brian D. Davison:
Introduction to special section on adversarial issues in Web search. ACM Trans. Web 2(1): 1:1-1:2 (2008)
2006
[j5]
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Brian D. Davison, Marc Najork, Tim Converse:
Adversarial information retrieval on the web (AIRWeb 2006). SIGIR Forum 40(2): 27-30 (2006)
2003
[j4]
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Qiang Wang, Brian D. Davison:
Review of Web caching and replication by Michael Rabinovich and Oliver Spatscheck. Addison Wesley 2002. SIGMOD Rec. 32(4): 107-108 (2003)
2001
[j3]
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Brian D. Davison:
A Web Caching Primer. IEEE Internet Comput. 5(4): 38-45 (2001)
2000
[j2]
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Haym Hirsh, Chumki Basu, Brian D. Davison:
Enabling technologies: learning to personalize. Commun. ACM 43(8): 102-106 (2000)
[j1]
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Brian D. Davison, Vincenzo Liberatore:
Pushing politely: improving Web responsiveness one packet at a time. SIGMETRICS Perform. Evaluation Rev. 28(2): 43 (2000)

Conference and Workshop Papers

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2023
[c114]
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Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison:
Model-based Unbiased Learning to Rank. WSDM 2023: 895-903
2022
[c113]
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Mohamed Trabelsi, Zhiyu Chen, Shuo Zhang, Brian D. Davison, Jeff Heflin:
StruBERT: Structure-aware BERT for Table Search and Matching. WWW 2022: 442-451
2021
[c112]
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Youshan Zhang, Brian D. Davison:
Deep Least Squares Alignment for Unsupervised Domain Adaptation. BMVC 2021: 3
[c111]
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Youshan Zhang, Brian D. Davison:
Correlated Adversarial Joint Discrepancy Adaptation Network. CBMI 2021: 1-6
[c110]
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Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Dawei Yin, Brian D. Davison:
MGNETS: Multi-Graph Neural Networks for Table Search. CIKM 2021: 2945-2949
[c109]
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Youshan Zhang, Brian D. Davison:
Weighted Pseudo Labeling Refinement for Plant Identification. CLEF (Working Notes) 2021: 1659-1667
[c108]
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Youshan Zhang, Brian D. Davison:
Efficient Pre-Trained Features and Recurrent Pseudo-Labeling in Unsupervised Domain Adaptation. CVPR Workshops 2021: 2719-2728
[c107]
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Youshan Zhang, Brian D. Davison:
Deep Spherical Manifold Gaussian Kernel for Unsupervised Domain Adaptation. CVPR Workshops 2021: 4443-4452
[c106]
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  - conf/desires/Heflin0J21
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Jeff Heflin, Brian D. Davison, Haiyan Jia:
Exploring Datasets via Cell-Centric Indexing. DESIRES 2021: 53-60
[c105]
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Eashan Adhikarla, Brian D. Davison:
Face Mask Detection on Real-World Webcam Images. GoodIT 2021: 139-144
[c104]
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Youshan Zhang, Brian D. Davison:
Enhanced Separable Disentanglement for Unsupervised Domain Adaptation. ICIP 2021: 784-788
[c103]
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Youshan Zhang, Brian D. Davison:
Adversarial Regression Learning for Bone Age Estimation. IPMI 2021: 742-754
[c102]
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Zhiyu Chen, Shuo Zhang, Brian D. Davison:
WTR: A Test Collection for Web Table Retrieval. SIGIR 2021: 2514-2520
[c101]
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Youshan Zhang, Hui Ye, Brian D. Davison:
Adversarial Reinforcement Learning for Unsupervised Domain Adaptation. WACV 2021: 635-644
[c100]
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Ovidiu Dan, Vaibhav Parikh, Brian D. Davison:
IP Geolocation Using Traceroute Location Propagation and IP Range Location Interpolation. WWW (Companion Volume) 2021: 332-338
2020
[c99]
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Mohamed Trabelsi, Zhiyu Chen, Brian D. Davison, Jeff Heflin:
A Hybrid Deep Model for Learning to Rank Data Tables. IEEE BigData 2020: 979-986
[c98]
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Mohamed Trabelsi, Zhiyu Chen, Brian D. Davison, Jeff Heflin:
Relational Graph Embeddings for Table Retrieval. IEEE BigData 2020: 3005-3014
[c97]
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Drake Johnson, Keith Register, Brian D. Davison, Jeff Heflin:
An Exploratory Interface for Dataset Repositories Using Cell-Centric Indexing. IEEE BigData 2020: 5716-5718
[c96]
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Youshan Zhang, Brian D. Davison:
Adversarial Consistent Learning on Partial Domain Adaptation of PlantCLEF 2020 Challenge. CLEF (Working Notes) 2020
[c95]
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Zhiyu Chen, Haiyan Jia, Jeff Heflin, Brian D. Davison:
Leveraging Schema Labels to Enhance Dataset Search. ECIR (1) 2020: 267-280
[c94]
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Hui Ye, Zhiyu Chen, Da-Han Wang, Brian D. Davison:
Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification. ICML 2020: 10809-10819
[c93]
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Youshan Zhang, Brian D. Davison:
Adversarial Continuous Learning in Unsupervised Domain Adaptation. ICPR Workshops (2) 2020: 672-687
[c92]
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Lixuan Qiu, Haiyan Jia, Brian D. Davison, Jeff Heflin:
An Architecture for Cell-Centric Indexing of Datasets. ASLD@ISWC 2020: 82-96
[c91]
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Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Brian D. Davison:
Towards Knowledge Acquisition of Metadata on AI Progress. ISWC (Demos/Industry) 2020: 232-237
[c90]
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Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Yinan Xu, Brian D. Davison:
Table Search Using a Deep Contextualized Language Model. SIGIR 2020: 589-598
[c89]
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Youshan Zhang, Brian D. Davison:
Impact of ImageNet Model Selection on Domain Adaptation. WACV Workshops 2020: 173-182
2019
[c88]
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Mohamed Trabelsi, Brian D. Davison, Jeff Heflin:
Improved Table Retrieval Using Multiple Context Embeddings for Attributes. IEEE BigData 2019: 1238-1244
[c87]
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Youshan Zhang, Sihong Xie, Brian D. Davison:
Transductive Learning Via Improved Geodesic Sampling. BMVC 2019: 122
[c86]
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Youshan Zhang, Brian D. Davison:
ShapeNet: Age-focused Landmark Shape Prediction with Regressive CNN. CBMI 2019: 1-6
2018
[c85]
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Sicong Kuang, Brian D. Davison:
Class-Specific Word Embedding through Linear Compositionality. BigComp 2018: 390-397
[c84]
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Sicong Kuang, Brian D. Davison:
Numeric-Attribute-Powered Sentence Embedding. BigComp 2018: 623-626
[c83]
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Ovidiu Dan, Vaibhav Parikh, Brian D. Davison:
Distributed Reverse DNS Geolocation. IEEE BigData 2018: 1581-1586
[c82]
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Yang Yi, Zhiyu Chen, Jeff Heflin, Brian D. Davison:
Recognizing Quantity Names for Tabular Data. ProfS/KG4IR/Data:Search@SIGIR 2018: 68-73
[c81]
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Zhiyu Chen, Haiyan Jia, Jeff Heflin, Brian D. Davison:
Generating Schema Labels through Dataset Content Analysis. WWW (Companion Volume) 2018: 1515-1522
2016
[c80]
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Ovidiu Dan, Vaibhav Parikh, Brian D. Davison:
Improving IP Geolocation using Query Logs. WSDM 2016: 347-356
2014
[c79]
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  - conf/asunam/YangY014
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Zaihan Yang, Dawei Yin, Brian D. Davison:
Recommendation in Academia: A joint multi-relational model. ASONAM 2014: 566-571
[c78]
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Dawei Yin, Shike Mei, Bin Cao, Jian-Tao Sun, Brian D. Davison:
Exploiting contextual factors for click modeling in sponsored search. WSDM 2014: 113-122
[c77]
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Dawei Yin, Bin Cao, Jian-Tao Sun, Brian D. Davison:
Estimating ad group performance in sponsored search. WSDM 2014: 143-152
2013
[c76]
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  - https://dblp.org/rec/conf/asunam/YangH013
Zaihan Yang, Liangjie Hong, Brian D. Davison:
Academic network analysis: a joint topic modeling approach. ASONAM 2013: 324-333
[c75]
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Dawei Yin, Shengbo Guo, Boris Chidlovskii, Brian D. Davison, Cédric Archambeau, Guillaume Bouchard:
Connecting comments and tags: improved modeling of social tagging systems. WSDM 2013: 547-556
[c74]
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Liangjie Hong, Aziz S. Doumith, Brian D. Davison:
Co-factorization machines: modeling user interests and predicting individual decisions in Twitter. WSDM 2013: 557-566
2012
[c73]
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Zaihan Yang, Brian D. Davison:
Writing with Style: Venue Classification. ICMLA (1) 2012: 250-255
[c72]
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Zaihan Yang, Brian D. Davison:
Venue Recommendation: Submitting Your Paper with Style. ICMLA (1) 2012: 681-686
[c71]
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Zaihan Yang, Brian D. Davison:
Distinguishing venues by writing styles. JCDL 2012: 371-372
[c70]
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Liangjie Hong, Ron Bekkerman, Joseph Adler, Brian D. Davison:
Learning to rank social update streams. SIGIR 2012: 651-660
2011
[c69]
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Zhenzhen Xue, Dawei Yin, Brian D. Davison:
Normalizing Microtext. Analyzing Microtext 2011
[c68]
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Dawei Yin, Liangjie Hong, Zhenzhen Xue, Brian D. Davison:
Temporal Dynamics of User Interests in Tagging Systems. AAAI 2011: 1279-1285
[c67]
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Dawei Yin, Liangjie Hong, Brian D. Davison:
Structural link analysis and prediction in microblogs. CIKM 2011: 1163-1168
[c66]
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Xiaoguang Qi, Brian D. Davison:
Hierarchy evolution for improved classification. CIKM 2011: 2193-2196
[c65]
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Na Dai, Xiaoguang Qi, Brian D. Davison:
Bridging link and query intent to enhance web search. HT 2011: 17-26
[c64]
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Ovidiu Dan, Junlan Feng, Brian D. Davison:
A Bootstrapping Approach to Identifying Relevant Tweets for Social TV. ICWSM 2011
[c63]
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Liangjie Hong, Dawei Yin, Jian Guo, Brian D. Davison:
Tracking trends: incorporating term volume into temporal topic models. KDD 2011: 484-492
[c62]
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Na Dai, Milad Shokouhi, Brian D. Davison:
Learning to rank for freshness and relevance. SIGIR 2011: 95-104
[c61]
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Zaihan Yang, Dawei Yin, Brian D. Davison:
Award prediction with temporal citation network analysis. SIGIR 2011: 1203-1204
[c60]
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Dawei Yin, Liangjie Hong, Xiong Xiong, Brian D. Davison:
Link formation analysis in microblogs. SIGIR 2011: 1235-1236
[c59]
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Na Dai, Milad Shokouhi, Brian D. Davison:
Multi-objective optimization in learning to rank. SIGIR 2011: 1241-1242
[c58]
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Na Dai, Xiaoguang Qi, Brian D. Davison:
Enhancing web search with entity intent. WWW (Companion Volume) 2011: 29-30
[c57]
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Liangjie Hong, Ovidiu Dan, Brian D. Davison:
Predicting popular messages in Twitter. WWW (Companion Volume) 2011: 57-58
[c56]
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Dawei Yin, Liangjie Hong, Brian D. Davison:
Exploiting session-like behaviors in tag prediction. WWW (Companion Volume) 2011: 167-168
[c55]
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Ovidiu Dan, Junlan Feng, Brian D. Davison:
Filtering microblogging messages for social TV. WWW (Companion Volume) 2011: 197-200
2010
[c54]
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Xiaoguang Qi, Dawei Yin, Zhenzhen Xue, Brian D. Davison:
Choosing your own adventure: automatic taxonomy generation to permit many paths. CIKM 2010: 1853-1856
[c53]
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Na Dai, Brian D. Davison:
Mining Anchor Text Trends for Retrieval. ECIR 2010: 127-139
[c52]
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Na Dai, Brian D. Davison, Yaoshuang Wang:
Mining Neighbors' Topicality to Better Control Authority Flow. ECIR 2010: 653-657
[c51]
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Liangjie Hong, Brian D. Davison:
Empirical study of topic modeling in Twitter. SOMA@KDD 2010: 80-88
[c50]
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Dawei Yin, Zhenzhen Xue, Liangjie Hong, Brian D. Davison:
A probabilistic model for personalized tag prediction. KDD 2010: 959-968
[c49]
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Zaihan Yang, Liangjie Hong, Brian D. Davison:
Topic-driven multi-type citation network analysis. RIAO 2010: 24-31
[c48]
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Na Dai, Brian D. Davison:
Freshness matters: in flowers, food, and web authority. SIGIR 2010: 114-121
[c47]
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Na Dai, Brian D. Davison:
Capturing page freshness for web search. SIGIR 2010: 871-872
2009
[c46]
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Na Dai, Brian D. Davison, Xiaoguang Qi:
Looking into the past to better classify web spam. AIRWeb 2009: 1-8
[c45]
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Na Dai, Brian D. Davison:
Vetting the links of the web. CIKM 2009: 1745-1748
[c44]
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Liangjie Hong, Zaihan Yang, Brian D. Davison:
Incorporating Participant Reputation in Community-Driven Question Answering Systems. CSE (4) 2009: 475-480
[c43]
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Jian Wang, Liangjie Hong, Brian D. Davison:
RSDC'09: Tag Recommendation Using Keywords and Association Rules. DC@PKDD/ECML 2009
[c42]
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Liangjie Hong, Brian D. Davison:
A classification-based approach to question answering in discussion boards. SIGIR 2009: 171-178
[c41]
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Jian Wang, Brian D. Davison:
Counting ancestors to estimate authority. SIGIR 2009: 658-659
[c40]
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Dawei Yin, Zhenzhen Xue, Xiaoguang Qi, Brian D. Davison:
Diversifying Search Results with Popular Subtopics. TREC 2009
2008
[c39]
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Jian Wang, Brian D. Davison:
Explorations in tag suggestion and query expansion. SSM 2008: 43-50
[c38]
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Lan Nie, Brian D. Davison:
Separate and inequal: preserving heterogeneity in topical authority flows. SIGIR 2008: 443-450
[c37]
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Xiaoguang Qi, Brian D. Davison:
Classifiers without borders: incorporating fielded text from neighboring web pages. SIGIR 2008: 643-650
2007
[c36]
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Lan Nie, Brian D. Davison, Baoning Wu:
From Whence Does Your Authority Come? Utilizing Community Relevance in Ranking. AAAI 2007: 1421-1426
[c35]
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Xiaoguang Qi, Lan Nie, Brian D. Davison:
Measuring Similarity to Detect Qualified Links. AIRWeb 2007: 49-56
[c34]
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Qing Ye, Liang Cheng, Mooi Choo Chuah, Brian D. Davison:
SHIM: a scalable hierarchical inter-domain multicast approach for disruption tolerant networks. IWCMC 2007: 170-175
[c33]
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Lan Nie, Baoning Wu, Brian D. Davison:
Winnowing wheat from the chaff: propagating trust to sift spam from the web. SIGIR 2007: 869-870
[c32]
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Lan Nie, Brian D. Davison, Baoning Wu:
Ranking by community relevance. SIGIR 2007: 873-874
[c31]
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Lan Nie, Baoning Wu, Brian D. Davison:
A cautious surfer for PageRank. WWW 2007: 1119-1120
2006
[c30]
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Xiaoguang Qi, Brian D. Davison:
Knowing a web page by the company it keeps. CIKM 2006: 228-237
[c29]
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Baoning Wu, Vinay Goel, Brian D. Davison:
Propagating Trust and Distrust to Demote Web Spam. MTW 2006
[c28]
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Baoning Wu, Brian D. Davison:
Undue influence: eliminating the impact of link plagiarism on web search rankings. SAC 2006: 1099-1104
[c27]
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Lan Nie, Brian D. Davison, Xiaoguang Qi:
Topical link analysis for web search. SIGIR 2006: 91-98
[c26]
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Qing Ye, Liang Cheng, Mooi Choo Chuah, Brian D. Davison:
OS-multicast: On-demand Situation-aware Multicasting in Disruption Tolerant Networks. VTC Spring 2006: 96-100
[c25]
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Mooi Choo Chuah, Peng Yang, Brian D. Davison, Liang Cheng:
Store-and-Forward Performance in a DTN. VTC Spring 2006: 187-191
[c24]
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Mooi Choo Chuah, Vinay Goel, Brian D. Davison:
Performance evaluation of mobility management scheme in DTN. WCNC 2006: 539-544
[c23]
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Baoning Wu, Vinay Goel, Brian D. Davison:
Topical TrustRank: using topicality to combat web spam. WWW 2006: 63-72
[c22]
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Baoning Wu, Brian D. Davison:
Detecting semantic cloaking on the web. WWW 2006: 819-828
2005
[c21]
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Baoning Wu, Brian D. Davison:
Cloaking and Redirection: A Preliminary Study. AIRWeb 2005: 7-16
[c20]
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Mooi Choo Chuah, Liang Cheng, Brian D. Davison:
Enhanced disruption and fault tolerant network architecture for bundle delivery (EDIFY). GLOBECOM 2005: 6
[c19]
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Baoning Wu, Brian D. Davison:
Identifying link farm spam pages. WWW (Special interest tracks and posters) 2005: 820-829
[c18]
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  - conf/www/FeldmanRFD05
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Ronen Feldman, Binyamin Rosenfeld, Moshe Fresko, Brian D. Davison:
Hybrid semantic tagging for information extraction. WWW (Special interest tracks and posters) 2005: 1022-1023
2004
[c17]
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Brian D. Davison:
The potential of the metasearch engine. ASIST 2004: 393-402
[c16]
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Baoning Wu, Brian D. Davison:
Implementing an Evaluation Architecture for Web Proxies. Int. CMG Conference 2004: 703-714
[c15]
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Brian D. Davison, Wei Zhang, Baoning Wu:
Lessons from a Gnutella-web gateway. WWW (Alternate Track Papers & Posters) 2004: 502-503
2003
[c14]
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Brian D. Davison:
Toward a unification of text and link analysis. SIGIR 2003: 367-368
[c13]
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Brian D. Davison, Wei Zhang, Josh Miller:
A Non-Functional Prototype at TREC 2003. TREC 2003: 383-385
[c12]
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Brian D. Davison, David G. Deschenes, David B. Lewanda:
Finding Relevant Website Queries. WWW (Posters) 2003
2002
[c11]
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Brian D. Davison:
Predicting web actions from HTML content. Hypertext 2002: 159-168
2001
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Brian D. Davison:
HTTP Simulator Validation Using Real Measurements: A Case Study. MASCOTS 2001: 389-
2000
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Brian D. Davison:
Topical locality in the Web. SIGIR 2000: 272-279
1999
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Khaled Rasheed, Brian D. Davison:
Effect of global parallelism on the behavior of a steady state genetic algorithm for design optimization. CEC 1999: 534-541
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Brian D. Davison, Apostolos Gerasoulis, Konstantinos Kleisouris, Yingfang Lu, Hyun-ju Seo, Junyu Tian, Song Wang, Wei Wang, Baohua Wu:
An Early DiscoWeb Prototype at TREC8. TREC 1999
1998
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Louis I. Steinberg, J. Storrs Hall, Brian D. Davison:
Highest Utility First Search Across Multiple Levels of Stochastic Design. AAAI/IAAI 1998: 477-484
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Brian D. Davison:
Classification Using an Online Genetic Algorithm. AAAI/IAAI 1998: 1189
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Sofus A. Macskassy, Arunava Banerjee, Brian D. Davison, Haym Hirsh:
Human Performance on Clustering Web Pages: A Preliminary Study. KDD 1998: 264-268
1997
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Brian D. Davison, Haym Hirsh:
Experiments in UNIX Command Prediction. AAAI/IAAI 1997: 827
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Haym Hirsh, Brian D. Davison:
An Adaptive UNIX Command-Line Assistant. Agents 1997: 542-543
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Brian D. Davison, Haym Hirsh:
Toward an Adaptive Command Line Interface. HCI (2) 1997: 505-508

Parts in Books or Collections

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2005
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April Kontostathis, William M. Pottenger, Brian D. Davison:
Identification of Critical Values in Latent Semantic Indexing. Foundations of Data Mining and knowledge Discovery 2005: 333-346
2004
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Brian D. Davison:
Learning Web Request Patterns. Web Dynamics 2004: 435-460

Editorship

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2018
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Kevyn Collins-Thompson, Qiaozhu Mei, Brian D. Davison, Yiqun Liu, Emine Yilmaz:
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018. ACM 2018 [contents]
2010
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Brian D. Davison, Torsten Suel, Nick Craswell, Bing Liu:
Proceedings of the Third International Conference on Web Search and Web Data Mining, WSDM 2010, New York, NY, USA, February 4-6, 2010. ACM 2010, ISBN 978-1-60558-889-6 [contents]
2007
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Carlos Castillo, Kumar Chellapilla, Brian D. Davison:
AIRWeb 2007, Third International Workshop on Adversarial Information Retrieval on the Web, co-located with the WWW conference, Banff, Canada, May 2007. ACM International Conference Proceeding Series 215, 2007 [contents]
2004
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Fred Douglis, Brian D. Davison:
Web Content Caching and Distribution, 8th International Workshop, WCW 2003, Hawthorne, NY, USA. Kluwer 2004, ISBN 978-1-4020-2257-9 [contents]

Informal and Other Publications

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2023
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Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison:
Unconfounded Propensity Estimation for Unbiased Ranking. CoRR abs/2305.09918 (2023)
[i22]
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Kai Zhang, Jun Yu, Zhiling Yan, Yixin Liu, Eashan Adhikarla, Sunyang Fu, Xun Chen, Chen Chen, Yuyin Zhou, Xiang Li, Lifang He, Brian D. Davison, Quanzheng Li, Yong Chen, Hongfang Liu, Lichao Sun:
BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks. CoRR abs/2305.17100 (2023)
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Youshan Zhang, Brian D. Davison:
Deep Feature Registration for Unsupervised Domain Adaptation. CoRR abs/2310.16100 (2023)
[i20]
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Eashan Adhikarla, Kai Zhang, Jun Yu, Lichao Sun, John W. Nicholson, Brian D. Davison:
Robust Computer Vision in an Ever-Changing World: A Survey of Techniques for Tackling Distribution Shifts. CoRR abs/2312.01540 (2023)
2022
[i19]
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Eashan Adhikarla, Dan Luo, Brian D. Davison:
Memory Defense: More Robust Classification via a Memory-Masking Autoencoder. CoRR abs/2202.02595 (2022)
[i18]
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Mohamed Trabelsi, Zhiyu Chen, Shuo Zhang, Brian D. Davison, Jeff Heflin:
StruBERT: Structure-aware BERT for Table Search and Matching. CoRR abs/2203.14278 (2022)
[i17]
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Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison:
Model-based Unbiased Learning to Rank. CoRR abs/2207.11785 (2022)
2021
[i16]
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Mohamed Trabelsi, Zhiyu Chen, Brian D. Davison, Jeff Heflin:
Neural Ranking Models for Document Retrieval. CoRR abs/2102.11903 (2021)
[i15]
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Youshan Zhang, Brian D. Davison:
Adversarial Regression Learning for Bone Age Estimation. CoRR abs/2103.06149 (2021)
[i14]
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Youshan Zhang, Brian D. Davison:
Efficient Pre-trained Features and Recurrent Pseudo-Labeling inUnsupervised Domain Adaptation. CoRR abs/2104.13486 (2021)
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Youshan Zhang, Brian D. Davison:
Deep Spherical Manifold Gaussian Kernel for Unsupervised Domain Adaptation. CoRR abs/2105.02089 (2021)
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Zhiyu Chen, Shuo Zhang, Brian D. Davison:
WTR: A Test Collection for Web Table Retrieval. CoRR abs/2105.02354 (2021)
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Youshan Zhang, Brian D. Davison:
Correlated Adversarial Joint Discrepancy Adaptation Network. CoRR abs/2105.08808 (2021)
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Youshan Zhang, Brian D. Davison:
Enhanced Separable Disentanglement for Unsupervised Domain Adaptation. CoRR abs/2106.11915 (2021)
[i9]
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Youshan Zhang, Brian D. Davison, Vivien W. Talghader, Zhiyu Chen, Zhiyong Xiao, Gary J. Kunkel:
Automatic Head Overcoat Thickness Measure with NASNet-Large-Decoder Net. CoRR abs/2106.12054 (2021)
[i8]
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  - journals/corr/abs-2111-02207
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Youshan Zhang, Brian D. Davison:
Deep Least Squares Alignment for Unsupervised Domain Adaptation. CoRR abs/2111.02207 (2021)
2020
[i7]
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Zhiyu Chen, Haiyan Jia, Jeff Heflin, Brian D. Davison:
Leveraging Schema Labels to Enhance Dataset Search. CoRR abs/2001.10112 (2020)
[i6]
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  - journals/corr/abs-2002-02559
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Youshan Zhang, Brian D. Davison:
Impact of ImageNet Model Selection on Domain Adaptation. CoRR abs/2002.02559 (2020)
[i5]
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Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Yinan Xu, Brian D. Davison:
Table Search Using a Deep Contextualized Language Model. CoRR abs/2005.09207 (2020)
[i4]
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  - journals/corr/abs-2007-02439
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Hui Ye, Zhiyu Chen, Da-Han Wang, Brian D. Davison:
Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification. CoRR abs/2007.02439 (2020)
[i3]
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Youshan Zhang, Brian D. Davison:
Adversarial Consistent Learning on Partial Domain Adaptation of PlantCLEF 2020 Challenge. CoRR abs/2009.09289 (2020)
2019
[i2]
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  - journals/corr/abs-1904-02322
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Youshan Zhang, Brian D. Davison:
Modified Distribution Alignment for Domain Adaptation with Pre-trained Inception ResNet. CoRR abs/1904.02322 (2019)
2018
[i1]
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  - journals/corr/abs-1811-04288
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Ovidiu Dan, Vaibhav Parikh, Brian D. Davison:
IP Geolocation through Reverse DNS. CoRR abs/1811.04288 (2018)

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