default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDC. Lee Giles
Clyde Lee Giles
Person information
- affiliation: Penn State, University Park, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j90]John Stogin, Ankur Arjun Mali, C. Lee Giles:
A provably stable neural network Turing Machine with finite precision and time. Inf. Sci. 658: 120034 (2024)- [c404]Mukund Srinath, Pranav Narayanan Venkit, Maria Badillo, Florian Schaub, C. Lee Giles, Shomir Wilson:
Automated Detection and Analysis of Data Practices Using A Real-World Corpus. ACL (Findings) 2024: 4567-4574 - [c403]Ting-Yao Hsu
, Chieh-Yang Huang, Shih-Hong Huang, Ryan A. Rossi, Sungchul Kim, Tong Yu, C. Lee Giles, Ting-Hao Kenneth Huang:
SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings. CHI Extended Abstracts 2024: 284:1-284:9 - [i73]Neisarg Dave, Daniel Kifer, C. Lee Giles, Ankur Mali:
Stability Analysis of Various Symbolic Rule Extraction Methods from Recurrent Neural Network. CoRR abs/2402.02627 (2024) - [i72]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 abs/2402.11006 (2024) - [i71]Ting-Yao Hsu, Chieh-Yang Huang, Shih-Hong Huang, Ryan A. Rossi, Sungchul Kim, Tong Yu, C. Lee Giles, Ting-Hao K. Huang:
SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings. CoRR abs/2403.17784 (2024) - [i70]Neisarg Dave, Daniel Kifer, C. Lee Giles, Ankur Mali:
Investigating Symbolic Capabilities of Large Language Models. CoRR abs/2405.13209 (2024) - [i69]Levent Toksoz, Gang Tan, C. Lee Giles:
Scaling Automatic Extraction of Pseudocode. CoRR abs/2406.04635 (2024) - 2023
- [c402]Zeba Karishma, Shaurya Rohatgi, Kavya Shrinivas Puranik, Jian Wu, C. Lee Giles:
ACL-Fig: A Dataset for Scientific Figure Classification. SDU@AAAI 2023 - [c401]Alexander G. Ororbia II, Ankur Arjun Mali, Daniel Kifer, C. Lee Giles:
Backpropagation-Free Deep Learning with Recursive Local Representation Alignment. AAAI 2023: 9327-9335 - [c400]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: 2304-2306 - [c399]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: 24:1-24:4 - [c398]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: 26:1-26:10 - [c397]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: 5464-5474 - [c396]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: 300-309 - [c395]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: 80-92 - [i68]Zeba Karishma, Shaurya Rohatgi, Kavya Shrinivas Puranik, Jian Wu, C. Lee Giles:
ACL-Fig: A Dataset for Scientific Figure Classification. CoRR abs/2301.12293 (2023) - [i67]Chieh-Yang Huang, Ting-Yao Hsu, Ryan A. Rossi, Ani Nenkova, Sungchul Kim, Gromit Yeuk-Yin Chan, Eunyee Koh, Clyde Lee Giles, Ting-Hao Kenneth Huang:
Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization. CoRR abs/2302.12324 (2023) - [i66]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 abs/2303.00866 (2023) - [i65]Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles:
On the Tensor Representation and Algebraic Homomorphism of the Neural State Turing Machine. CoRR abs/2309.14690 (2023) - [i64]Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles:
On the Computational Complexity and Formal Hierarchy of Second Order Recurrent Neural Networks. CoRR abs/2309.14691 (2023) - [i63]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 abs/2310.15405 (2023) - 2022
- [c394]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: 13218-13220 - [c393]Athar Sefid, C. Lee Giles:
SciBERTSUM: Extractive Summarization for Scientific Documents. DAS 2022: 688-701 - [c392]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: 471 - [c391]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: 16:1-16:4 - [c390]Jian Wu, Shaurya Rohatgi, Manoj K. Angadi, Kavya S. Puranik, C. Lee Giles:
Design Considerations for a Sustainable Scholarly Big Data Service. FIRE 2022: 83-87 - [c389]Alexander Ororbia, Ankur Arjun Mali, C. Lee Giles, Daniel Kifer:
Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting. NeurIPS 2022 - [c388]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: 784-788 - [i62]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. CoRR abs/2201.06924 (2022) - [i61]Athar Sefid, C. Lee Giles:
SciBERTSUM: Extractive Summarization for Scientific Documents. CoRR abs/2201.08495 (2022) - [i60]Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles:
An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy Image Compression Systems. CoRR abs/2201.11782 (2022) - [i59]Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles:
Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder. CoRR abs/2201.11795 (2022) - [i58]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 abs/2211.16590 (2022) - 2021
- [j89]Kaixuan Zhang, Qinglong Wang, C. Lee Giles:
An Entropy Metric for Regular Grammar Classification and Learning with Recurrent Neural Networks. Entropy 23(1): 127 (2021) - [j88]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): 150-201 (2021) - [j87]Feng Xia, C. Lee Giles, Huan Liu, Kuansan Wang:
Guest Editorial: Scholarly Big Data. IEEE Trans. Emerg. Top. Comput. 9(1): 200-203 (2021) - [c387]Ankur Arjun Mali, Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles:
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units. AAAI 2021: 5006-5015 - [c386]Sai Ajay Modukuri, Sarah Michele Rajtmajer, Anna Cinzia Squicciarini, Jian Wu, C. Lee Giles:
Understanding and Predicting Retractions of Published Work. SDU@AAAI 2021 - [c385]Krutarth Patel, Cornelia Caragea, Doina Caragea, C. Lee Giles:
Author Homepage Discovery in CiteSeerX. AAAI 2021: 15146-15155 - [c384]Mukund Srinath, Shomir Wilson, C. Lee Giles:
Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies. ACL/IJCNLP (1) 2021: 6829-6839 - [c383]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: 141-152 - [c382]Shaurya Rohatgi, Jian Wu, C. Lee Giles:
Ranked List Fusion and Re-ranking with Pre-trained Transformers for ARQMath Lab. CLEF (Working Notes) 2021: 125-132 - [c381]Shivansh Rao, Vikas Kumar, Daniel Kifer, C. Lee Giles, Ankur Arjun Mali:
OmniLayout: Room Layout Reconstruction From Indoor Spherical Panoramas. CVPR Workshops 2021: 3706-3715 - [c380]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: 356 - [c379]Athar Sefid, Prasenjit Mitra, C. Lee Giles:
SlideGen: an abstractive section-based slide generator for scholarly documents. DocEng 2021: 11:1-11:4 - [c378]Soundarya Nurani Sundareswara, Mukund Srinath, Shomir Wilson, C. Lee Giles:
A large-scale exploration of terms of service documents on the web. DocEng 2021: 21:1-21:4 - [c377]Neisarg Dave, Riley Owen Bakes, Bart Pursel, C. Lee Giles:
Math Question Solving and MCQ Distractor Generation with attentional GRU Networks. EDM 2021 - [c376]Ting-Yao Hsu, C. Lee Giles, Ting-Hao Kenneth Huang:
SciCap: Generating Captions for Scientific Figures. EMNLP (Findings) 2021: 3258-3264 - [c375]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: 497-513 - [c374]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: 130-153 - [c373]Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles:
Investigating Backpropagation Alternatives when Learning to Dynamically Count with Recurrent Neural Networks. ICGI 2021: 154-175 - [c372]Mukund Srinath, Soundarya Nurani Sundareswara, C. Lee Giles, Shomir Wilson:
PrivaSeer: A Privacy Policy Search Engine. ICWE 2021: 286-301 - [c371]Chinmayee Rane, Seshasayee Mahadevan Subramanya, Devi Sandeep Endluri, Jian Wu, C. Lee Giles:
ChartReader: Automatic Parsing of Bar-Plots. IRI 2021: 318-325 - [c370]Shaurya Rohatgi, C. Lee Giles, Jian Wu:
What Were People Searching For? A Query Log Analysis of An Academic Search Engine. JCDL 2021: 342-343 - [c369]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: 426-430 - [d1]Meng Ling, Jian Chen, Torsten Möller, Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Robert S. Laramee, Han-Wei Shen, Jian Wu, C. Lee Giles:
Three Benchmark Datasets for Scholarly Article Layout Analysis. IEEE DataPort, 2021
- [i57]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 abs/2101.01787 (2021) - [i56]Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles:
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units. CoRR abs/2104.02899 (2021) - [i55]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 abs/2104.04580 (2021) - [i54]Shivansh Rao, Vikas Kumar, Daniel Kifer, C. Lee Giles, Ankur Arjun Mali:
OmniLayout: Room Layout Reconstruction from Indoor Spherical Panoramas. CoRR abs/2104.09403 (2021) - [i53]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 abs/2105.14931 (2021) - [i52]Athar Sefid, Jian Wu, Prasenjit Mitra, C. Lee Giles:
Extractive Research Slide Generation Using Windowed Labeling Ranking. CoRR abs/2106.03246 (2021) - [i51]Ting-Yao Hsu, C. Lee Giles, Ting-Hao Kenneth Huang:
SciCap: Generating Captions for Scientific Figures. CoRR abs/2110.11624 (2021) - 2020
- [j86]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: 600382 (2020) - [j85]Kaixuan Zhang, Qinglong Wang, Xue Liu, C. Lee Giles:
Shapley Homology: Topological Analysis of Sample Influence for Neural Networks. Neural Comput. 32(7): 1355-1378 (2020) - [j84]Ankur Arjun Mali, Alexander G. Ororbia II, C. Lee Giles:
A Neural State Pushdown Automata. IEEE Trans. Artif. Intell. 1(3): 193-205 (2020) - [j83]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): 4267-4278 (2020) - [c368]Ke Yuan, Dafang He, Zhuoren Jiang, Liangcai Gao, Zhi Tang, C. Lee Giles:
Automatic Generation of Headlines for Online Math Questions. AAAI 2020: 9490-9497 - [c367]Kaixuan Zhang, Qinglong Wang, C. Lee Giles:
Adversarial Models for Deterministic Finite Automata. Canadian AI 2020: 540-552 - [c366]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: 1868-1877 - [c365]Shaurya Rohatgi, Jian Wu, C. Lee Giles:
PSU at CLEF-2020 ARQMath Track: Unsupervised Re-ranking using Pretraining. CLEF (Working Notes) 2020 - [c364]Ankur Arjun Mali, Alexander G. Ororbia II, C. Lee Giles:
The Sibling Neural Estimator: Improving Iterative Image Decoding with Gradient Communication. DCC 2020: 23-32 - [c363]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: 21:1-21:4 - [c362]Wei Zhong, Shaurya Rohatgi, Jian Wu, C. Lee Giles, Richard Zanibbi:
Accelerating Substructure Similarity Search for Formula Retrieval. ECIR (1) 2020: 714-727 - [c361]Jian Wu, Pei Wang, Xin Wei, Sarah Michele Rajtmajer, C. Lee Giles, Christopher Griffin:
Acknowledgement Entity Recognition in CORD-19 Papers. SDP@EMNLP 2020: 10-19 - [c360]Kunho Kim, Athar Sefid, C. Lee Giles:
Learning CNF Blocking for Large-scale Author Name Disambiguation. SDP@EMNLP 2020: 72-80 - [c359]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: 1-6 - [c358]Krutarth Patel, Cornelia Caragea, Jian Wu, C. Lee Giles:
Keyphrase Extraction in Scholarly Digital Library Search Engines. ICWS 2020: 179-196 - [c357]Kaixuan Zhang, Qinglong Wang, C. Lee Giles:
Deep Learning, Grammar Transfer, and Transportation Theory. ECML/PKDD (2) 2020: 609-623 - [i50]Alexander Ororbia, Ankur Arjun Mali, Daniel Kifer, C. Lee Giles:
Reducing the Computational Burden of Deep Learning with Recursive Local Representation Alignment. CoRR abs/2002.03911 (2020) - [i49]Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, Clyde Lee Giles:
Recognizing Long Grammatical Sequences Using Recurrent Networks Augmented With An External Differentiable Stack. CoRR abs/2004.07623 (2020) - [i48]Mukund Srinath, Shomir Wilson, C. Lee Giles:
Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies. CoRR abs/2004.11131 (2020) - [i47]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 abs/2005.02367 (2020) - [i46]John Stogin, Ankur Arjun Mali, C. Lee Giles:
Provably Stable Interpretable Encodings of Context Free Grammars in RNNs with a Differentiable Stack. CoRR abs/2006.03651 (2020) - [i45]Bharath Kandimalla, Shaurya Rohatgi, Jian Wu, C. Lee Giles:
Large Scale Subject Category Classification of Scholarly Papers with Deep Attentive Neural Networks. CoRR abs/2007.13826 (2020) - [i44]Athar Sefid, Clyde Lee Giles, Prasenjit Mitra:
Extractive Summarizer for Scholarly Articles. CoRR abs/2008.11290 (2020) - [i43]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 abs/2012.03397 (2020) - [i42]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 abs/2012.07565 (2020)
2010 – 2019
- 2019
- [j82]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: 110050-110073 (2019) - [c356]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: 395-402 - [c355]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: 9601-9606 - [c354]Jian Wu, Kunho Kim, C. Lee Giles:
CiteSeerX: 20 years of service to scholarly big data. AIDR 2019: 1:1-1:4 - [c353]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: 81-86 - [c352]Xiao Yang, Dafang He, Daniel Kifer, C. Lee Giles:
A Learning-based Text Synthesis Engine for Scene Text Detection. BMVC 2019: 94 - [c351]Kunho Kim, Shaurya Rohatgi, C. Lee Giles:
Hybrid Deep Pairwise Classification for Author Name Disambiguation. CIKM 2019: 2369-2372 - [c350]Anand Gopalakrishnan, Ankur Arjun Mali, Dan Kifer, C. Lee Giles, Alexander G. Ororbia II:
A Neural Temporal Model for Human Motion Prediction. CVPR 2019: 12116-12125 - [c349]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: 3-12 - [c348]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 - [c347]Behrooz Mansouri, Shaurya Rohatgi, Douglas W. Oard, Jian Wu, C. Lee Giles, Richard Zanibbi:
Tangent-CFT: An Embedding Model for Mathematical Formulas. ICTIR 2019: 11-18 - [c346]Athar Sefid, Jian Wu, Prasenjit Mitra, C. Lee Giles:
Automatic Slide Generation for Scientific Papers. SciKnow@K-CAP 2019: 11-16 - [c345]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: 676-685 - [c344]Rabah A. Al-Zaidy, Cornelia Caragea, C. Lee Giles:
Bi-LSTM-CRF Sequence Labeling for Keyphrase Extraction from Scholarly Documents. WWW 2019: 2551-2557 - [i41]Alexander Ororbia, Ankur Arjun Mali, Daniel Kifer, C. Lee Giles:
Lifelong Neural Predictive Coding: Sparsity Yields Less Forgetting when Learning Cumulatively. CoRR abs/1905.10696 (2019) - [i40]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 abs/1906.08470 (2019) - [i39]Ankur Arjun Mali, Alexander Ororbia, C. Lee Giles:
The Neural State Pushdown Automata. CoRR abs/1909.05233 (2019) - [i38]Kaixuan Zhang, Qinglong Wang, Xue Liu, C. Lee Giles:
Shapley Homology: Topological Analysis of Sample Influence for Neural Networks. CoRR abs/1910.06509 (2019) - [i37]Qinglong Wang, Kaixuan Zhang, Xue Liu, C. Lee Giles:
Connecting First and Second Order Recurrent Networks with Deterministic Finite Automata. CoRR abs/1911.04644 (2019) - [i36]Ankur Arjun Mali, Alexander G. Ororbia II, Clyde Lee Giles:
Sibling Neural Estimators: Improving Iterative Image Decoding with Gradient Communication. CoRR abs/1911.08478 (2019) - [i35]Ke Yuan, Dafang He, Zhuoren Jiang, Liangcai Gao, Zhi Tang, C. Lee Giles:
Automatic Generation of Headlines for Online Math Questions. CoRR abs/1912.00839 (2019) - [i34]Shaurya Rohatgi, Wei Zhong, Richard Zanibbi, Jian Wu, C. Lee Giles:
Query Auto Completion for Math Formula Search. CoRR abs/1912.04115 (2019) - 2018
- [j81]Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles:
An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks. Neural Comput. 30(9) (2018) - [c343]Shikun Liu, C. Lee Giles, Alexander Ororbia:
Learning a Hierarchical Latent-Variable Model of 3D Shapes. 3DV 2018: 542-551 - [c342]Chen Liang, Jianbo Ye, Shuting Wang, Bart Pursel, C. Lee Giles:
Investigating Active Learning for Concept Prerequisite Learning. AAAI 2018: 7913-7919 - [c341]Dafang He, Yeqing Li, Alexander N. Gorban, Derrall Heath, Julian Ibarz, Qian Yu, Daniel Kifer, C. Lee Giles:
Large Scale Scene Text Verification with Guided Attention. ACCV (5) 2018: 260-275 - [c340]Chen Liang, Xiao Yang, Neisarg Dave, Drew Wham, Bart Pursel, C. Lee Giles:
Distractor Generation for Multiple Choice Questions Using Learning to Rank. BEA@NAACL-HLT 2018: 284-290 - [c339]Jian Wu, Bharath Kandimalla, Shaurya Rohatgi, Athar Sefid, Jianyu Mao, C. Lee Giles:
CiteSeerX-2018: A Cleansed Multidisciplinary Scholarly Big Dataset. IEEE BigData 2018: 5465-5467 - [c338]