The evolution of a crawling strategy for an academic document search engine: whitelists and blacklists. - Jian Wu 006; Pradeep B. Teregowda; Juan Pablo Fernández Ramírez; Prasenjit Mitra; Shuyi Zheng; C. Lee Giles (WebSci, 2012)

Web crawler middleware for search engine digital libraries: a case study for citeseerX. - Jian Wu 006; Pradeep B. Teregowda; Madian Khabsa; Stephen Carman; Douglas Jordan; Jose San Pedro Wandelmer; Xin Lu; Prasenjit Mitra; C. Lee Giles (WIDM, 2012)

Specialized Research Datasets in the CiteSeerx Digital Library. - Sumit Bhatia; Cornelia Caragea; Hung-Hsuan Chen; Jian Wu 006; Pucktada Treeratpituk; Zhaohui Wu 002; Madian Khabsa; Prasenjit Mitra; C. Lee Giles (D Lib Mag., 2012)

CiteSeerX: AI in a Digital Library Search Engine. - Jian Wu 006; Kyle Mark Williams; Hung-Hsuan Chen; Madian Khabsa; Cornelia Caragea; Alexander Ororbia; Douglas Jordan; C. Lee Giles (AAAI, 2014)

The impact of user corrections on a crawl-based digital library: A CiteSeerX perspective. - Jian Wu 006; Kyle Williams 001; Madian Khabsa; C. Lee Giles (CollaborateCom, 2014)

SimSeerX: a similar document search engine. - Kyle Williams 001; Jian Wu 006; C. Lee Giles (ACM Symposium on Document Engineering, 2014)

CiteSeer x : A Scholarly Big Dataset. - Cornelia Caragea; Jian Wu 006; Alina Maria Ciobanu; Kyle Williams 001; Juan Pablo Fernández Ramírez; Hung-Hsuan Chen; Zhaohui Wu 002; C. Lee Giles (ECIR, 2014)

Utility-Based Control Feedback in a Digital Library Search Engine: Cases in CiteSeerX. - Jian Wu 006; Alexander Ororbia; Kyle Williams 001; Madian Khabsa; Zhaohui Wu 002; C. Lee Giles (Feedback Computing, 2014)

Migrating a Digital Library to a Private Cloud. - Jian Wu 006; Pradeep B. Teregowda; Kyle Williams 001; Madian Khabsa; Douglas Jordan; Eric Treece; Zhaohui Wu 002; C. Lee Giles (IC2E, 2014)

Scholarly big data information extraction and integration in the CiteSeerχ digital library. - Kyle Williams 001; Jian Wu 006; Sagnik Ray Choudhury; Madian Khabsa; C. Lee Giles (ICDE Workshops, 2014)

A Web Service for Scholarly Big Data Information Extraction. - Kyle Williams 001; Lichi Li; Madian Khabsa; Jian Wu 006; Patrick C. Shih; C. Lee Giles (ICWS, 2014)

Towards building a scholarly big data platform: Challenges, lessons and opportunities. - Zhaohui Wu 002; Jian Wu 006; Madian Khabsa; Kyle Williams 001; Hung-Hsuan Chen; Wenyi Huang; Suppawong Tuarob; Sagnik Ray Choudhury; Alexander Ororbia; Prasenjit Mitra; C. Lee Giles (JCDL, 2014)

PDFMEF: A Multi-Entity Knowledge Extraction Framework for Scholarly Documents and Semantic Search. - Jian Wu 006; Jason Killian; Huaiyu Yang; Kyle Williams 001; Sagnik Ray Choudhury; Suppawong Tuarob; Cornelia Caragea; C. Lee Giles (K-CAP, 2015)

Online Learning of Deep Hybrid Architectures for Semi-supervised Categorization. - Alexander G. Ororbia II; David Reitter; Jian Wu 006; C. Lee Giles (ECML/PKDD (1), 2015)

Big Scholarly Data in CiteSeerX: Information Extraction from the Web. - Alexander G. Ororbia II; Jian Wu 006; Madian Khabsa; Kyle Williams 001; Clyde Lee Giles (WWW (Companion Volume), 2015)

CiteSeerX: AI in a Digital Library Search Engine. - Jian Wu 006; Kyle Mark Williams; Hung-Hsuan Chen; Madian Khabsa; Cornelia Caragea; Suppawong Tuarob; Alexander Ororbia; Douglas Jordan; Prasenjit Mitra; C. Lee Giles (AI Mag., 2015)

Document Type Classification in Online Digital Libraries. - Cornelia Caragea; Jian Wu 006; Sujatha Das Gollapalli; C. Lee Giles (AAAI, 2016)

Information Extraction for Scholarly Digital Libraries. - Kyle Williams 001; Jian Wu 006; Zhaohui Wu 002; C. Lee Giles (JCDL, 2016)

CiteSeerX data: semanticizing scholarly papers. - Jian Wu 006; Chen Liang 001; Huaiyu Yang; C. Lee Giles (SBD@SIGMOD, 2016)

Compiling Keyphrase Candidates for Scientific Literature Based on Wikipedia. - Hung-Hsuan Chen; Jian Wu 006; C. Lee Giles (TDDL/MDQual/Futurity@TPDL, 2017)

HESDK: A Hybrid Approach to Extracting Scientific Domain Knowledge Entities. - Jian Wu 006; Sagnik Ray Choudhury; Agnese Chiatti; Chen Liang 001; C. Lee Giles (JCDL, 2017)

A Supervised Learning Approach To Entity Matching Between Scholarly Big Datasets. - Jian Wu 006; Athar Sefid; Allen C. Ge; C. Lee Giles (K-CAP, 2017)

Scholarly Digital Libraries as a Platform for Malware Distribution. - Nir Nissim; Aviad Cohen 002; Jian Wu 006; Andrea Lanzi; Lior Rokach; Yuval Elovici; C. Lee Giles (SG-CRC, 2017)

CiteSeerX-2018: A Cleansed Multidisciplinary Scholarly Big Dataset. - Jian Wu 006; Bharath Kandimalla; Shaurya Rohatgi; Athar Sefid; Jianyu Mao; C. Lee Giles (IEEE BigData, 2018)

Learned Iterative Decoding for Lossy Image Compression Systems. - Alexander G. Ororbia II; Ankur Arjun Mali; Jian Wu 006; Scott O'Connell; David J. Miller 001; C. Lee Giles (CoRR, 2018)

Cleaning Noisy and Heterogeneous Metadata for Record Linking across Scholarly Big Datasets. - Athar Sefid; Jian Wu 006; Allen C. Ge; Jing Zhao; Lu Liu; Cornelia Caragea; Prasenjit Mitra; C. Lee Giles (AAAI, 2019)

CiteSeerX: 20 years of service to scholarly big data. - Jian Wu 006; Kunho Kim; C. Lee Giles (AIDR, 2019)

Learned Neural Iterative Decoding for Lossy Image Compression Systems. - Alexander G. Ororbia II; Ankur Arjun Mali; Jian Wu 006; Scott O'Connell; William Dreese; David J. Miller 001; C. Lee Giles (DCC, 2019)

Tangent-CFT: An Embedding Model for Mathematical Formulas. - Behrooz Mansouri; Shaurya Rohatgi; Douglas W. Oard; Jian Wu 006; C. Lee Giles; Richard Zanibbi (ICTIR, 2019)

Searching for Evidence of Scientific News in Scholarly Big Data. - Md Reshad Ul Hoque; Dash Bradley; Chiman Kwan; Agnese Chiatti; Jiang Li 001; Jian Wu 006 (K-CAP, 2019)

Automatic Slide Generation for Scientific Papers. - Athar Sefid; Jian Wu 006; Prasenjit Mitra; C. Lee Giles (SciKnow@K-CAP, 2019)

Sec-Lib: Protecting Scholarly Digital Libraries From Infected Papers Using Active Machine Learning Framework. - Nir Nissim; Aviad Cohen 002; Jian Wu 006; Andrea Lanzi; Lior Rokach; Yuval Elovici; C. Lee Giles (IEEE Access, 2019)

Query Auto Completion for Math Formula Search. - Shaurya Rohatgi; Wei Zhong; Richard Zanibbi; Jian Wu 006; C. Lee Giles (CoRR, 2019)

Modeling Updates of Scholarly Webpages Using Archived Data. - Yasith Jayawardana; Alexander C. Nwala; Gavindya Jayawardena; Jian Wu 006; Sampath Jayarathna; Michael L. Nelson 001; C. Lee Giles (IEEE BigData, 2020)

PSU at CLEF-2020 ARQMath Track: Unsupervised Re-ranking using Pretraining. - Shaurya Rohatgi; Jian Wu 006; C. Lee Giles (CLEF (Working Notes), 2020)

COVIDSeer: Extending the CORD-19 Dataset. - Shaurya Rohatgi; Zeba Karishma; Jason Chhay; Sai Raghav Reddy Keesara; Jian Wu 006; Cornelia Caragea; C. Lee Giles (DocEng, 2020)

Accelerating Substructure Similarity Search for Formula Retrieval. - Wei Zhong; Shaurya Rohatgi; Jian Wu 006; C. Lee Giles; Richard Zanibbi (ECIR (1), 2020)

Acknowledgement Entity Recognition in CORD-19 Papers. - Jian Wu 006; Pei Wang; Xin Wei; Sarah Michele Rajtmajer; C. Lee Giles; Christopher Griffin 001 (SDP@EMNLP, 2020)

Keyphrase Extraction in Scholarly Digital Library Search Engines. - Krutarth Patel; Cornelia Caragea; Jian Wu 006; C. Lee Giles (ICWS, 2020)

A Heuristic Baseline Method for Metadata Extraction from Scanned Electronic Theses and Dissertations. - Muntabir Hasan Choudhury; Jian Wu 006; William A. Ingram; Edward A. Fox (JCDL, 2020)

Analyzing the Effect of Reading Patterns using Eye Tracking Measures. - Gavindya Jayawardena; Sampath Jayarathna; Jian Wu 006 (JCDL, 2020)

Inter-subdiscipline Analysis Based on Mathematical Statements. - Rui Wang; Xiaoling Zhou; Jian Wu 006; Ou Wu (JCDL, 2020)

A Comparative Study of Sequence Tagging Methods for Domain Knowledge Entity Recognition in Biomedical Papers. - Jian Wu 006; Md Reshad Ul Hoque; Gunnar W. Reiske; Michele C. Weigle; Brenda T. Bradshaw; Holly D. Gaff; Jiang Li 001; Chiman Kwan (JCDL, 2020)

Large Scale Subject Category Classification of Scholarly Papers With Deep Attentive Neural Networks. - Bharath Kandimalla; Shaurya Rohatgi; Jian Wu 006; C. Lee Giles (Frontiers Res. Metrics Anal., 2020)

Recognizing Figure Labels in Patents. - Ming Gong; Xin Wei; Diane Oyen; Jian Wu 006; Martin Gryder; Liping Yang 002 (SDU@AAAI, 2021)

Understanding and Predicting Retractions of Published Work. - Sai Ajay Modukuri; Sarah Michele Rajtmajer; Anna Cinzia Squicciarini; Jian Wu 006; C. Lee Giles (SDU@AAAI, 2021)

Building an Accessible, Usable, Scalable, and Sustainable Service for Scholarly Big Data. - Jian Wu 006; Shaurya Rohatgi; Sai Raghav Reddy Keesara; Jason Chhay; Kevin Kuo; Arjun Manoj Menon; Sean Parsons; Bhuvan Urgaonkar; C. Lee Giles (IEEE BigData, 2021)

Building A Large Collection of Multi-domain Electronic Theses and Dissertations. - Sami Uddin; Bipasha Banerjee; Jian Wu 006; William A. Ingram; Edward A. Fox (IEEE BigData, 2021)

Ranked List Fusion and Re-ranking with Pre-trained Transformers for ARQMath Lab. - Shaurya Rohatgi; Jian Wu 006; C. Lee Giles (CLEF (Working Notes), 2021)

Document Domain Randomization for Deep Learning Document Layout Extraction. - Meng Ling; Jian Chen 006; Torsten Möller; Petra Isenberg; Tobias Isenberg 001; Michael Sedlmair; Robert S. Laramee; Han-Wei Shen; Jian Wu 006; C. Lee Giles (ICDAR (1), 2021)

ChartReader: Automatic Parsing of Bar-Plots. - Chinmayee Rane; Seshasayee Mahadevan Subramanya; Devi Sandeep Endluri; Jian Wu 006; C. Lee Giles (IRI, 2021)

Automatic Metadata Extraction Incorporating Visual Features from Scanned Electronic Theses and Dissertations. - Muntabir Hasan Choudhury; Himarsha R. Jayanetti; Jian Wu 006; William A. Ingram; Edward A. Fox (JCDL, 2021)

ScanBank: A Benchmark Dataset for Figure Extraction from Scanned Electronic Theses and Dissertations. - Sampanna Yashwant Kahu; William A. Ingram; Edward A. Fox; Jian Wu 006 (JCDL, 2021)

What Were People Searching For? A Query Log Analysis of An Academic Search Engine. - Shaurya Rohatgi; C. Lee Giles; Jian Wu 006 (JCDL, 2021)

Extraction and Evaluation of Statistical Information from Social and Behavioral Science Papers. - Sree Sai Teja Lanka; Sarah Michele Rajtmajer; Jian Wu 006; C. Lee Giles (WWW (Companion Volume), 2021)

Predicting the Reproducibility of Social and Behavioral Science Papers Using Supervised Learning Models. - Jian Wu 006; Rajal Nivargi; Sree Sai Teja Lanka; Arjun Manoj Menon; Sai Ajay Modukuri; Nishanth Nakshatri; Xin Wei; Zhuoer Wang; James Caverlee; Sarah Michele Rajtmajer; C. Lee Giles (CoRR, 2021)

Extractive Research Slide Generation Using Windowed Labeling Ranking. - Athar Sefid; Jian Wu 006; Prasenjit Mitra; C. Lee Giles (CoRR, 2021)

Scholar2vec: Vector Representation of Scholars for Lifetime Collaborator Prediction. - Wei Wang 077; Feng Xia 001; Jian Wu 006; Zhiguo Gong; Hanghang Tong; Brian D. Davison 001 (ACM Trans. Knowl. Discov. Data, 2021)

SampannaKahu/ScanBank: v0.2. - Sampanna Yashwant Kahu; William A. Ingram; Edward A. Fox; Jian Wu 006 (Zenodo, 2021)

Three Benchmark Datasets for Scholarly Article Layout Analysis. - Meng Ling; Jian Chen 006; Torsten Möller; Petra Isenberg; Tobias Isenberg 001; Michael Sedlmair; Robert S. Laramee; Han-Wei Shen; Jian Wu 006; C. Lee Giles (IEEE DataPort, 2021)

Segmenting Technical Drawing Figures in US Patents. - Md Reshad Ul Hoque; Xin Wei; Muntabir Hasan Choudhury; Kehinde Ajayi; Martin Gryder; Jian Wu 006; Diane Oyen (SDU@AAAI, 2022)

A Synthetic Prediction Market for Estimating Confidence in Published Work. - Sarah Michele Rajtmajer; Christopher Griffin 001; Jian Wu 006; Robert Fraleigh; Laxmaan Balaji; Anna Cinzia Squicciarini; Anthony Kwasnica; David M. Pennock; Michael McLaughlin; Timothy Fritton; Nishanth Nakshatri; Arjun Manoj Menon; et al. (AAAI, 2022)

Applications of data analysis on scholarly long documents. - Bipasha Banerjee; William A. Ingram; Jian Wu 006; Edward A. Fox (IEEE Big Data, 2022)

Scholarly big data quality assessment: a case study of document linking and conflation with S2ORC. - Jian Wu 006; Ryan Hiltabrand; Dominik Soós; C. Lee Giles (DocEng, 2022)

Theory entity extraction for social and behavioral sciences papers using distant supervision. - Xin Wei; Lamia Salsabil; Jian Wu 006 (DocEng, 2022)

Design Considerations for a Sustainable Scholarly Big Data Service. - Jian Wu 006; Shaurya Rohatgi; Manoj K. Angadi; Kavya S. Puranik; C. Lee Giles (FIRE, 2022)

Visual descriptor extraction from patent figure captions: a case study of data efficiency between BiLSTM and transformer. - Xin Wei; Jian Wu 006; Kehinde Ajayi; Diane Oyen (JCDL, 2022)

Online Deep Learning from Doubly-Streaming Data. - Heng Lian; John Scovil Atwood; Bojian Hou; Jian Wu 006; Yi He 007 (ACM Multimedia, 2022)

DeepPatent: Large scale patent drawing recognition and retrieval. - Michal Kucer; Diane Oyen; Juan Castorena; Jian Wu 006 (WACV, 2022)

A Study of Computational Reproducibility using URLs Linking to Open Access Datasets and Software. - Lamia Salsabil; Jian Wu 006; Muntabir Hasan Choudhury; William A. Ingram; Edward A. Fox; Sarah Michele Rajtmajer; C. Lee Giles (WWW (Companion Volume), 2022)

SciEv: Finding Scientific Evidence Papers for Scientific News. - Md Reshad Ul Hoque; Jiang Li 001; Jian Wu 006 (CoRR, 2022)

ArithFusion: An Arithmetic Deep Model for Temporal Remote Sensing Image Fusion. - Md Reshad Ul Hoque; Jian Wu 006; Chiman Kwan; Krzysztof Koperski; Jiang Li 001 (Remote. Sens., 2022)

ACL-Fig: A Dataset for Scientific Figure Classification. - Zeba Karishma; Shaurya Rohatgi; Kavya Shrinivas Puranik; Jian Wu 006; C. Lee Giles (SDU@AAAI, 2023)

ClaimDistiller: Scientific Claim Extraction with Supervised Contrastive Learning. - Xin Wei; Md Reshad Ul Hoque; Jian Wu 006; Jiang Li 001 (EEKE/AII@JCDL, 2023)

It's Not Just GitHub: Identifying Data and Software Sources Included in Publications. - Emily Escamilla; Lamia Salsabil; Martin Klein 001; Jian Wu 006; Michele C. Weigle; Michael L. Nelson 001 (TPDL, 2023)

A Study on Reproducibility and Replicability of Table Structure Recognition Methods. - Kehinde Ajayi; Muntabir Hasan Choudhury; Sarah Michele Rajtmajer; Jian Wu 006 (ICDAR (2), 2023)

Can machine learning algorithms predict publication outcomes? A case study of COVID-19 preprints. - Sai Dileep Koneru; Xin Wei; Jian Wu 006; Sarah Rajtmajer (ICDM (Workshops), 2023)

Who can Submit an Excellent Review for this Manuscript in the Next 30 Days? - Peer Reviewing in the Age of Overload. - Hamed Alhoori; Edward A. Fox; Ingo Frommholz; Haiming Liu 002; Corinna Coupette; Bastian Rieck; Tirthankar Ghosal; Jian Wu 006 (JCDL, 2023)

MetaEnhance: Metadata Quality Improvement for Electronic Theses and Dissertations of University Libraries. - Muntabir Hasan Choudhury; Lamia Salsabil; Himarsha R. Jayanetti; Jian Wu 006; William A. Ingram; Edward A. Fox (JCDL, 2023)

Maximizing Equitable Reach and Accessibility of ETDs. - William A. Ingram; Jian Wu 006; Edward A. Fox (JCDL, 2023)

JCDL2023 Workshop: Innovation Measurement for Scientific Communication (IMSC) in the Era of Big Data. - Zhongyi Wang 002; Haihua Chen 002; Chengzhi Zhang; Wei Lu 019; Jian Wu 006 (JCDL, 2023)

MSVEC: A Multidomain Testing Dataset for Scientific Claim Verification. - Michael Evans; Dominik Soós; Ethan Landers; Jian Wu 006 (MobiHoc, 2023)

DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing Understanding. - Kehinde Ajayi; Xin Wei; Martin Gryder; Winston Shields; Jian Wu 006; Shawn M. Jones; Michal Kucer; Diane Oyen (CoRR, 2023)

ETDPC: A Multimodality Framework for Classifying Pages in Electronic Theses and Dissertations. - Muntabir Hasan Choudhury; Lamia Salsabil; William A. Ingram; Edward A. Fox; Jian Wu 006 (AAAI, 2024)

SHORT: Can citations tell us about a paper's reproducibility? A case study of machine learning papers. - Rochana R. Obadage; Sarah Michele Rajtmajer; Jian Wu 006 (ACM-REP, 2024)

Toward Automatically Improving Metadata Quality of Electronic Theses and Dissertations at Scale. - Lamia Salsabil; Jian Wu 006; William A. Ingram; Edward A. Fox (IEEE Big Data, 2024)

Can Large Language Models Discern Evidence for Scientific Hypotheses? Case Studies in the Social Sciences. - Sai Dileep Koneru; Jian Wu 006; Sarah Rajtmajer (LREC/COLING, 2024)

JCDL2024Workshop: The 2nd Workshop on Innovation Measurement for Scientific Communication (IMSC) in the Era of Big Data. - Zhongyi Wang 002; Haihua Chen 002; Chengzhi Zhang; Yi Bu 001; Wei Lu 019; Jian Wu 006 (JCDL, 2024)

Can citations tell us about a paper's reproducibility? A case study of machine learning papers. - Rochana R. Obadage; Sarah Michele Rajtmajer; Jian Wu 006 (CoRR, 2024)

Uncertainty Quantification in Table Structure Recognition. - Kehinde Ajayi; Leizhen Zhang; Yi He 007; Jian Wu 006 (CoRR, 2024)

[Re] Network Deconvolution. - Rochana R. Obadage; Kumushini Thennakoon; Sarah Michele Rajtmajer; Jian Wu 006 (CoRR, 2024)

Editorial: Innovation measurement for scientific communication (IMSC) in the era of big data. - Zhongyi Wang 002; Haihua Chen 002; Chengzhi Zhang; Wei Lu 019; Jian Wu 006 (Electron. Libr., 2024)

Online Learning From Evolving Feature Spaces With Deep Variational Models. - Heng Lian; Di Wu 056; Bo-Jian Hou; Jian Wu 006; Yi He 007 (IEEE Trans. Knowl. Data Eng., 2024)

Building datasets to support information extraction and structure parsing from electronic theses and dissertations. - William A. Ingram; Jian Wu 006; Sampanna Yashwant Kahu; Javaid Akbar Manzoor; Bipasha Banerjee; Aman Ahuja; Muntabir Hasan Choudhury; Lamia Salsabil; Winston Shields; Edward A. Fox (Int. J. Digit. Libr., 2024)