C. Lee Giles

ORCID

Publication Activity (10 Years)

Years Active: 1985-2024
Publications (10 Years): 193

Top Venues

Publications

John Stogin, Ankur Arjun Mali, C. Lee Giles
A provably stable neural network Turing Machine with finite precision and time. Inf. Sci. 658 (2024)
Neisarg Dave, Daniel Kifer, C. Lee Giles, Ankur Mali
Stability Analysis of Various Symbolic Rule Extraction Methods from Recurrent Neural Network. CoRR (2024)
Mukund Srinath, Pranav Venkit, Maria Badillo, Florian Schaub, C. Lee Giles, Shomir Wilson
Automated Detection and Analysis of Data Practices Using A Real-World Corpus. CoRR (2024)
Mukund Srinath, Soundarya Nurani Sundareswara, Pranav Venkit, C. Lee Giles, Shomir Wilson
Privacy Lost and Found: An Investigation at Scale of Web Privacy Policy Availability. DocEng (2023)
Ting-Yao Hsu, Chieh-Yang Huang, Ryan A. Rossi, Sungchul Kim, C. Lee Giles, Ting-Hao K. Huang
GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions. CoRR (2023)
Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
On the Tensor Representation and Algebraic Homomorphism of the Neural State Turing Machine. CoRR (2023)
Alexander G. Ororbia II, Ankur Arjun Mali, Daniel Kifer, C. Lee Giles
Backpropagation-Free Deep Learning with Recursive Local Representation Alignment. AAAI (2023)
Mukund Srinath, Lee Matheson, Pranav Narayanan Venkit, Gabriela Zanfir-Fortuna, Florian Schaub, C. Lee Giles, Shomir Wilson
Privacy Now or Never: Large-Scale Extraction and Analysis of Dates in Privacy Policy Text. DocEng (2023)
Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
On the Computational Complexity and Formal Hierarchy of Second Order Recurrent Neural Networks. CoRR (2023)
Ting-Yao Hsu, Chieh-Yang Huang, Ryan A. Rossi, Sungchul Kim, C. Lee Giles, Ting-Hao Kenneth Huang
GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions. EMNLP (Findings) (2023)
Zeba Karishma, Shaurya Rohatgi, Kavya Shrinivas Puranik, Jian Wu, C. Lee Giles
ACL-Fig: A Dataset for Scientific Figure Classification. CoRR (2023)
Tatiana Chakravorti, Robert Fraleigh, Timothy Fritton, Michael McLaughlin, Vaibhav Singh, Christopher Griffin, Anthony Kwasnica, David M. Pennock, C. Lee Giles, Sarah Rajtmajer
A Prototype Hybrid Prediction Market for Estimating Replicability of Published Work. HHAI (2023)
Chieh-Yang Huang, Ting-Yao Hsu, Ryan A. Rossi, Ani Nenkova, Sungchul Kim, Gromit Yeuk-Yin Chan, Eunyee Koh, C. Lee Giles, Ting-Hao (Kenneth) Huang
Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization. INLG (2023)
Tatiana Chakravorti, Robert Fraleigh, Timothy Fritton, Michael McLaughlin, Vaibhav Singh, Christopher Griffin, Anthony Kwasnica, David M. Pennock, C. Lee Giles, Sarah Rajtmajer
A prototype hybrid prediction market for estimating replicability of published work. CoRR (2023)
Tatiana Chakravorti, Vaibhav Singh, Sarah Rajtmajer, Michael McLaughlin, Robert Fraleigh, Christopher Griffin, Anthony Kwasnica, David M. Pennock, C. Lee Giles
Artificial Prediction Markets Present a Novel Opportunity for Human-AI Collaboration. AAMAS (2023)
Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy Image Compression Systems. CoRR (2022)
Jian Wu, Shaurya Rohatgi, Manoj K. Angadi, Kavya S. Puranik, C. Lee Giles
Design Considerations for a Sustainable Scholarly Big Data Service. FIRE (2022)
Sarah Michele Rajtmajer, Christopher Griffin, Jian Wu, Robert Fraleigh, Laxmaan Balaji, Anna Cinzia Squicciarini, Anthony Kwasnica, David M. Pennock, Michael McLaughlin, Timothy Fritton, Nishanth Nakshatri, Arjun Manoj Menon, Sai Ajay Modukuri, Rajal Nivargi, Xin Wei, C. Lee Giles
A Synthetic Prediction Market for Estimating Confidence in Published Work. AAAI (2022)
Ankur Arjun Mali, Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles
Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder. DCC (2022)
Athar Sefid, C. Lee Giles
SciBERTSUM: Extractive Summarization for Scientific Documents. CoRR (2022)
Sarah Michele Rajtmajer, Christopher Griffin, Jian Wu, Robert Fraleigh, Laxmaan Balaji, Anna Squicciarini, Anthony Kwasnica, David M. Pennock, Michael McLaughlin, Timothy Fritton, Nishanth Nakshatri, Arjun Manoj Menon, Sai Ajay Modukuri, Rajal Nivargi, Xin Wei, C. Lee Giles
A Synthetic Prediction Market for Estimating Confidence in Published Work. CoRR (2022)
Alexander Ororbia, Ankur Arjun Mali, C. Lee Giles, Daniel Kifer
Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting. NeurIPS (2022)
Athar Sefid, C. Lee Giles
SciBERTSUM: Extractive Summarization for Scientific Documents. DAS (2022)
Tatiana Chakravorti, Vaibhav Singh, Sarah Rajmajer, Michael McLaughlin, Robert Fraleigh, Christopher Griffin, Anthony Kwasnica, David M. Pennock, C. Lee Giles
Artificial prediction markets present a novel opportunity for human-AI collaboration. CoRR (2022)
Jian Wu, Ryan Hiltabrand, Dominik Soós, C. Lee Giles
Scholarly big data quality assessment: a case study of document linking and conflation with S2ORC. DocEng (2022)
Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder. CoRR (2022)
Lamia Salsabil, Jian Wu, Muntabir Hasan Choudhury, William A. Ingram, Edward A. Fox, Sarah Michele Rajtmajer, C. Lee Giles
A Study of Computational Reproducibility using URLs Linking to Open Access Datasets and Software. WWW (Companion Volume) (2022)
Shaurya Rohatgi, Jian Wu, C. Lee Giles
Ranked List Fusion and Re-ranking with Pre-trained Transformers for ARQMath Lab. CLEF (Working Notes) (2021)
Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units. CoRR (2021)
Krutarth Patel, Cornelia Caragea, Doina Caragea, C. Lee Giles
Author Homepage Discovery in CiteSeerX. AAAI (2021)
Sree Sai Teja Lanka, Sarah Michele Rajtmajer, Jian Wu, C. Lee Giles
Extraction and Evaluation of Statistical Information from Social and Behavioral Science Papers. WWW (Companion Volume) (2021)
Sai Ajay Modukuri, Sarah Michele Rajtmajer, Anna Cinzia Squicciarini, Jian Wu, C. Lee Giles
Understanding and Predicting Retractions of Published Work. SDU@AAAI (2021)
Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
Recognizing Long Grammatical Sequences using Recurrent Networks Augmented with an External Differentiable Stack. ICGI (2021)
Mukund Srinath, Soundarya Nurani Sundareswara, C. Lee Giles, Shomir Wilson
PrivaSeer: A Privacy Policy Search Engine. ICWE (2021)
Chinmayee Rane, Seshasayee Mahadevan Subramanya, Devi Sandeep Endluri, Jian Wu, C. Lee Giles
ChartReader: Automatic Parsing of Bar-Plots. IRI (2021)
Shaurya Rohatgi, C. Lee Giles, Jian Wu
What Were People Searching For? A Query Log Analysis of An Academic Search Engine. JCDL (2021)
Soundarya Nurani Sundareswara, Mukund Srinath, Shomir Wilson, C. Lee Giles
A large-scale exploration of terms of service documents on the web. DocEng (2021)
Mukund Srinath, Shomir Wilson, C. Lee Giles
Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies. ACL/IJCNLP (1) (2021)
Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
Investigating Backpropagation Alternatives when Learning to Dynamically Count with Recurrent Neural Networks. ICGI (2021)
Jian Wu, Shaurya Rohatgi, Sai Raghav Reddy Keesara, Jason Chhay, Kevin Kuo, Arjun Manoj Menon, Sean Parsons, Bhuvan Urgaonkar, C. Lee Giles
Building an Accessible, Usable, Scalable, and Sustainable Service for Scholarly Big Data. IEEE BigData (2021)
Neisarg Dave, Riley Owen Bakes, Bart Pursel, C. Lee Giles
Math Question Solving and MCQ Distractor Generation with attentional GRU Networks. EDM (2021)
Kaixuan Zhang, Qinglong Wang, C. Lee Giles
An Entropy Metric for Regular Grammar Classification and Learning with Recurrent Neural Networks. Entropy 23 (1) (2021)
Shivansh Rao, Vikas Kumar, Daniel Kifer, C. Lee Giles, Ankur Arjun Mali
OmniLayout: Room Layout Reconstruction From Indoor Spherical Panoramas. CVPR Workshops (2021)
Jian Wu, 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
Predicting the Reproducibility of Social and Behavioral Science Papers Using Supervised Learning Models. CoRR (2021)
Byron Reeves, Nilam Ram, Thomas N. Robinson, James J. Cummings, C. Lee Giles, Jennifer Pan, Agnese Chiatti, Mj Cho, Katie Roehrick, Xiao Yang, Anupriya Gagneja, Miriam Brinberg, Daniel Muise, Yingdan Lu, Mufan Luo, Andrew Fitzgerald, Leo Yeykelis
Screenomics: A Framework to Capture and Analyze Personal Life Experiences and the Ways that Technology Shapes Them. Hum. Comput. Interact. 36 (2) (2021)
Ting-Yao Hsu, C. Lee Giles, Ting-Hao Huang
SciCap: Generating Captions for Scientific Figures. EMNLP (Findings) (2021)
Meng Ling, Jian Chen, Torsten Möller, Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Robert S. Laramee, Han-Wei Shen, Jian Wu, C. Lee Giles
Document Domain Randomization for Deep Learning Document Layout Extraction. CoRR (2021)
Shivansh Rao, Vikas Kumar, Daniel Kifer, C. Lee Giles, Ankur Arjun Mali
OmniLayout: Room Layout Reconstruction from Indoor Spherical Panoramas. CoRR (2021)
Ting-Yao Hsu, C. Lee Giles, Ting-Hao Kenneth Huang
SciCap: Generating Captions for Scientific Figures. CoRR (2021)
Ankur Arjun Mali, Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units. AAAI (2021)
Meng Ling, Jian Chen, Torsten Möller, Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Robert S. Laramee, Han-Wei Shen, Jian Wu, C. Lee Giles
Document Domain Randomization for Deep Learning Document Layout Extraction. ICDAR (1) (2021)
Nishanth Nakshatri, Arjun Manoj Menon, C. Lee Giles, Sarah Michele Rajtmajer, Christopher Griffin
Design and Analysis of a Synthetic Prediction Market using Dynamic Convex Sets. CoRR (2021)
Ankur Arjun Mali, Alexander G. Ororbia II, Dan Kifer, C. Lee Giles
An Empirical Analysis of Recurrent Learning Algorithms in Neural Lossy Image Compression Systems. DCC (2021)
Athar Sefid, Prasenjit Mitra, C. Lee Giles
SlideGen: an abstractive section-based slide generator for scholarly documents. DocEng (2021)
Athar Sefid, Jian Wu, Prasenjit Mitra, C. Lee Giles
Extractive Research Slide Generation Using Windowed Labeling Ranking. CoRR (2021)
Feng Xia, C. Lee Giles, Huan Liu, Kuansan Wang
Guest Editorial: Scholarly Big Data. IEEE Trans. Emerg. Top. Comput. 9 (1) (2021)
Ting-Hao Kenneth Huang, Chieh-Yang Huang, Chien-Kuang Cornelia Ding, Yen-Chia Hsu, C. Lee Giles
CODA-19: Reliably Annotating Research Aspects on 10,000+ CORD-19 Abstracts Using a Non-Expert Crowd. CoRR (2020)
Ke Yuan, Dafang He, Zhuoren Jiang, Liangcai Gao, Zhi Tang, C. Lee Giles
Automatic Generation of Headlines for Online Math Questions. AAAI (2020)
Mukund Srinath, Shomir Wilson, C. Lee Giles
Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies. CoRR (2020)
Kaixuan Zhang, Qinglong Wang, Xue Liu, C. Lee Giles
Shapley Homology: Topological Analysis of Sample Influence for Neural Networks. Neural Comput. 32 (7) (2020)
Shaurya Rohatgi, Zeba Karishma, Jason Chhay, Sai Raghav Reddy Keesara, Jian Wu, Cornelia Caragea, C. Lee Giles
COVIDSeer: Extending the CORD-19 Dataset. DocEng (2020)
Bharath Kandimalla, Shaurya Rohatgi, Jian Wu, C. Lee Giles
Large Scale Subject Category Classification of Scholarly Papers With Deep Attentive Neural Networks. Frontiers Res. Metrics Anal. 5 (2020)
Yasith Jayawardana, Alexander C. Nwala, Gavindya Jayawardena, Jian Wu, Sampath Jayarathna, Michael L. Nelson, C. Lee Giles
Modeling Updates of Scholarly Webpages Using Archived Data. CoRR (2020)
John Stogin, Ankur Arjun Mali, C. Lee Giles
Provably Stable Interpretable Encodings of Context Free Grammars in RNNs with a Differentiable Stack. CoRR (2020)
Bharath Kandimalla, Shaurya Rohatgi, Jian Wu, C. Lee Giles
Large Scale Subject Category Classification of Scholarly Papers with Deep Attentive Neural Networks. CoRR (2020)
Wei Zhong, Shaurya Rohatgi, Jian Wu, C. Lee Giles, Richard Zanibbi
Accelerating Substructure Similarity Search for Formula Retrieval. ECIR (1) (2020)
Kaixuan Zhang, Qinglong Wang, C. Lee Giles
Deep Learning, Grammar Transfer, and Transportation Theory. ECML/PKDD (2) (2020)
Ke Yuan, Dafang He, Xiao Yang, Zhi Tang, Daniel Kifer, C. Lee Giles
Follow The Curve: Arbitrarily Oriented Scene Text Detection Using Key Points Spotting And Curve Prediction. ICME (2020)
Kunho Kim, Athar Sefid, C. Lee Giles
Learning CNF Blocking for Large-scale Author Name Disambiguation. SDP@EMNLP (2020)
Krutarth Patel, Cornelia Caragea, Jian Wu, C. Lee Giles
Keyphrase Extraction in Scholarly Digital Library Search Engines. ICWS (2020)
Yasith Jayawardana, Alexander C. Nwala, Gavindya Jayawardena, Jian Wu, Sampath Jayarathna, Michael L. Nelson, C. Lee Giles
Modeling Updates of Scholarly Webpages Using Archived Data. IEEE BigData (2020)
Ankur Arjun Mali, Alexander G. Ororbia II, C. Lee Giles
A Neural State Pushdown Automata. IEEE Trans. Artif. Intell. 1 (3) (2020)
Ankur Arjun Mali, Alexander G. Ororbia II, C. Lee Giles
The Sibling Neural Estimator: Improving Iterative Image Decoding with Gradient Communication. DCC (2020)
Alexander Ororbia, Ankur Arjun Mali, Daniel Kifer, C. Lee Giles
Reducing the Computational Burden of Deep Learning with Recursive Local Representation Alignment. CoRR (2020)
Shaurya Rohatgi, Jian Wu, C. Lee Giles
PSU at CLEF-2020 ARQMath Track: Unsupervised Re-ranking using Pretraining. CLEF (Working Notes) (2020)
Kaixuan Zhang, Qinglong Wang, C. Lee Giles
Adversarial Models for Deterministic Finite Automata. Canadian Conference on AI (2020)
Alexander Ororbia, Ankur Arjun Mali, C. Lee Giles, Daniel Kifer
Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations. IEEE Trans. Neural Networks Learn. Syst. 31 (10) (2020)
Jian Wu, Pei Wang, Xin Wei, Sarah Michele Rajtmajer, C. Lee Giles, Christopher Griffin
Acknowledgement Entity Recognition in CORD-19 Papers. SDP@EMNLP (2020)
Xiaoxiao Li, Rabah A. Al-Zaidy, Amy X. Zhang, Stefan Baral, Le Bao, C. Lee Giles
Automating Document Classification with Distant Supervision to Increase the Efficiency of Systematic Reviews. CoRR (2020)
Xiao Yang, Madian Khabsa, Miaosen Wang, Wei Wang, Ahmed Hassan Awadallah, Daniel Kifer, C. Lee Giles
Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching. AAAI (2019)
Nir Nissim, Aviad Cohen, Jian Wu, Andrea Lanzi, Lior Rokach, Yuval Elovici, C. Lee Giles
Sec-Lib: Protecting Scholarly Digital Libraries From Infected Papers Using Active Machine Learning Framework. IEEE Access 7 (2019)
Kaixuan Zhang, Qinglong Wang, Xue Liu, C. Lee Giles
Shapley Homology: Topological Analysis of Sample Influence for Neural Networks. CoRR (2019)
Athar Sefid, Jian Wu, Prasenjit Mitra, C. Lee Giles
Automatic Slide Generation for Scientific Papers. SciKnow@K-CAP (2019)
Xiao Yang, Dafang He, Daniel Kifer, C. Lee Giles
A Learning-based Text Synthesis Engine for Scene Text Detection. BMVC (2019)
Anand Gopalakrishnan, Ankur Arjun Mali, Dan Kifer, C. Lee Giles, Alexander G. Ororbia II
A Neural Temporal Model for Human Motion Prediction. CVPR (2019)
Ke Yuan, Dafang He, Zhuoren Jiang, Liangcai Gao, Zhi Tang, C. Lee Giles
Automatic Generation of Headlines for Online Math Questions. CoRR (2019)
Alexander Ororbia, Ankur Arjun Mali, Daniel Kifer, C. Lee Giles
Lifelong Neural Predictive Coding: Sparsity Yields Less Forgetting when Learning Cumulatively. CoRR (2019)
Rabah Alzaidy, Cornelia Caragea, C. Lee Giles
Bi-LSTM-CRF Sequence Labeling for Keyphrase Extraction from Scholarly Documents. WWW (2019)
Alexander G. Ororbia II, Ankur Arjun Mali, Jian Wu, Scott O'Connell, William Dreese, David J. Miller, C. Lee Giles
Learned Neural Iterative Decoding for Lossy Image Compression Systems. DCC (2019)
Shaurya Rohatgi, Wei Zhong, Richard Zanibbi, Jian Wu, C. Lee Giles
Query Auto Completion for Math Formula Search. CoRR (2019)
Kunho Kim, Shaurya Rohatgi, C. Lee Giles
Hybrid Deep Pairwise Classification for Author Name Disambiguation. CIKM (2019)
Behrooz Mansouri, Shaurya Rohatgi, Douglas W. Oard, Jian Wu, C. Lee Giles, Richard Zanibbi
Tangent-CFT: An Embedding Model for Mathematical Formulas. ICTIR (2019)
Jian Wu, Kunho Kim, C. Lee Giles
CiteSeerX: 20 years of service to scholarly big data. AIDR (2019)
Athar Sefid, Jian Wu, Allen C. Ge, Jing Zhao, Lu Liu, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles
Cleaning Noisy and Heterogeneous Metadata for Record Linking across Scholarly Big Datasets. AAAI (2019)
Dafang He, Xiao Yang, Dan Kifer, C. Lee Giles
TextContourNet: A Flexible and Effective Framework for Improving Scene Text Detection Architecture With a Multi-Task Cascade. WACV (2019)
Chen Liang, Jianbo Ye, Han Zhao, Bart Pursel, C. Lee Giles
Active Learning of Strict Partial Orders: A Case Study on Concept Prerequisite Relations. EDM (2019)
Qinglong Wang, Kaixuan Zhang, Xue Liu, C. Lee Giles
Connecting First and Second Order Recurrent Networks with Deterministic Finite Automata. CoRR (2019)
Athar Sefid, Jian Wu, Allen C. Ge, Jing Zhao, Lu Liu, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles
Cleaning Noisy and Heterogeneous Metadata for Record Linking Across Scholarly Big Datasets. CoRR (2019)
Bart Pursel, Crystal M. Ramsay, Nesirag Dave, Chen Liang, C. Lee Giles
BBookX: Creating Semi-Automated Textbooks to Support Student Learning and Decrease Student Costs. iTextbooks@AIED (2019)
Ankur Arjun Mali, Alexander Ororbia, C. Lee Giles
The Neural State Pushdown Automata. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

C. Lee Giles