Giles, C. Lee

60 publications

AAAI 2023 Backpropagation-Free Deep Learning with Recursive Local Representation Alignment Alexander G. Ororbia Ii, Ankur Arjun Mali, Daniel Kifer, C. Lee Giles

AAAI 2022 A Synthetic Prediction Market for Estimating Confidence in Published Work 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

NeurIPS 2022 Lifelong Neural Predictive Coding: Learning Cumulatively Online Without Forgetting Alex Ororbia, Ankur Mali, C Lee Giles, Daniel Kifer

AAAI 2021 Author Homepage Discovery in CiteSeerX Krutarth Patel, Cornelia Caragea, Doina Caragea, C. Lee Giles

CVPRW 2021 OmniLayout: Room Layout Reconstruction from Indoor Spherical Panoramas Shivansh Rao, Vikas Kumar, Daniel Kifer, C. Lee Giles, Ankur Arjun Mali

AAAI 2021 Recognizing and Verifying Mathematical Equations Using Multiplicative Differential Neural Units Ankur Arjun Mali, Alexander G. Ororbia Ii, Daniel Kifer, C. Lee Giles

AAAI 2020 Automatic Generation of Headlines for Online Math Questions Ke Yuan, Dafang He, Zhuoren Jiang, Liangcai Gao, Zhi Tang, C. Lee Giles

ECML-PKDD 2020 Deep Learning, Grammar Transfer, and Transportation Theory Kaixuan Zhang, Qinglong Wang, C. Lee Giles

AAAI 2019 Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching Xiao Yang, Madian Khabsa, Miaosen Wang, Wei Wang, Ahmed Hassan Awadallah, Daniel Kifer, C. Lee Giles

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

WACV 2019 TextContourNet: A Flexible and Effective Framework for Improving Scene Text Detection Architecture with a Multi-Task Cascade Dafang He, Xiao Yang, Dan Kifer, C. Lee Giles

AAAI 2018 Investigating Active Learning for Concept Prerequisite Learning Chen Liang, Jianbo Ye, Shuting Wang, Bart Pursel, C. Lee Giles

AAAI 2017 A Machine Learning Approach for Semantic Structuring of Scientific Charts in Scholarly Documents Rabah A. Al-Zaidy, C. Lee Giles

CVPR 2017 Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Networks Xiao Yang, Ersin Yumer, Paul Asente, Mike Kraley, Daniel Kifer, C. Lee Giles

IJCAI 2017 Learning to Read Irregular Text with Attention Mechanisms Xiao Yang, Dafang He, Zihan Zhou, Daniel Kifer, C. Lee Giles

CVPR 2017 Multi-Scale FCN with Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild Dafang He, Xiao Yang, Chen Liang, Zihan Zhou, Alexander G. Ororbi Ii, Daniel Kifer, C. Lee Giles

AAAI 2017 Recovering Concept Prerequisite Relations from University Course Dependencies Chen Liang, Jianbo Ye, Zhaohui Wu, Bart Pursel, C. Lee Giles

AAAI 2016 BBookX: Building Online Open Books for Personalized Learning Chen Liang, Shuting Wang, Zhaohui Wu, Kyle Williams, Bart Pursel, Benjamin Bräutigam, Sherwyn Saul, Hannah Williams, Kyle Bowen, C. Lee Giles

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

AAAI 2016 Exploring Multiple Feature Spaces for Novel Entity Discovery Zhaohui Wu, Yang Song, C. Lee Giles

AAAI 2015 A Neural Probabilistic Model for Context Based Citation Recommendation Wenyi Huang, Zhaohui Wu, Chen Liang, Prasenjit Mitra, C. Lee Giles

ECML-PKDD 2015 Online Learning of Deep Hybrid Architectures for Semi-Supervised Categorization Alexander G. Ororbia Ii, David Reitter, Jian Wu, C. Lee Giles

AAAI 2015 Sense-Aaware Semantic Analysis: A Multi-Prototype Word Representation Model Using Wikipedia Zhaohui Wu, C. Lee Giles

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

AAAI 2012 Name-Ethnicity Classification and Ethnicity-Sensitive Name Matching Pucktada Treeratpituk, C. Lee Giles

AAAI 2012 Table Header Detection and Classification Jing Fang, Prasenjit Mitra, Zhi Tang, C. Lee Giles

IJCAI 2011 Context Sensitive Topic Models for Author Influence in Document Networks Saurabh Kataria, Prasenjit Mitra, Cornelia Caragea, C. Lee Giles

AAAI 2008 Automatic Extraction of Data Points and Text Blocks from 2-Dimensional Plots in Digital Documents Saurabh Kataria, William Browuer, Prasenjit Mitra, C. Lee Giles

AAAI 2008 Hierarchical Location and Topic Based Query Expansion Shu Huang, Qiankun Zhao, Prasenjit Mitra, C. Lee Giles

IJCAI 2007 Learning User Clicks in Web Search Ding Zhou, Levent Bolelli, Jia Li, C. Lee Giles, Hongyuan Zha

AAAI 2007 Probabilistic Community Discovery Using Hierarchical Latent Gaussian Mixture Model Haizheng Zhang, C. Lee Giles, Henry C. Foley, John Yen

AAAI 2007 TableRank: A Ranking Algorithm for Table Search and Retrieval Ying Liu, Kun Bai, Prasenjit Mitra, C. Lee Giles

ICML 2003 Evolving Strategies for Focused Web Crawling Judy Johnson, Kostas Tsioutsiouliklis, C. Lee Giles

UAI 2002 Modelling Information Incorporation in Markets, with Application to Detecting and Explaining Events David M. Pennock, Sandip Debnath, Eric J. Glover, C. Lee Giles

NeCo 2001 Attractive Periodic Sets in Discrete-Time Recurrent Networks (with Emphasis on Fixed-Point Stability and Bifurcations in Two-Neuron Networks) Peter Tiño, Bill G. Horne, C. Lee Giles

MLJ 2001 Noisy Time Series Prediction Using Recurrent Neural Networks and Grammatical Inference C. Lee Giles, Steve Lawrence, Ah Chung Tsoi

ICML 2000 A Normative Examination of Ensemble Learning Algorithms David M. Pennock, Pedrito Maynard-Reid Ii, C. Lee Giles, Eric Horvitz

UAI 2000 Bayesian Classification and Feature Selection from Finite Data Sets Frans Coetzee, Steve Lawrence, C. Lee Giles

UAI 2000 Collaborative Filtering by Personality Diagnosis: A Hybrid Memory and Model-Based Approach David M. Pennock, Eric Horvitz, Steve Lawrence, C. Lee Giles

NeCo 2000 Learning Chaotic Attractors by Neural Networks Rembrandt Bakker, Jaap C. Schouten, C. Lee Giles, Floris Takens, Cor M. van den Bleek

NeurIPS 2000 Overfitting in Neural Nets: Backpropagation, Conjugate Gradient, and Early Stopping Rich Caruana, Steve Lawrence, C. Lee Giles

AAAI 2000 Social Choice Theory and Recommender Systems: Analysis of the Axiomatic Foundations of Collaborative Filtering David M. Pennock, Eric Horvitz, C. Lee Giles

NeurIPS 1999 Robust Learning of Chaotic Attractors Rembrandt Bakker, Jaap C. Schouten, Marc-Olivier Coppens, Floris Takens, C. Lee Giles, Cor M. van den Bleek

AAAI 1997 Intelligent Methods for File System Optimization Leo Kuvayev, C. Lee Giles, James Philbin, Henry Cejtin

AAAI 1997 Lessons in Neural Network Training: Overfitting May Be Harder than Expected Steve Lawrence, C. Lee Giles, Ah Chung Tsoi

ICML 1997 Predicting Multiprocessor Memory Access Patterns with Learning Models Majd F. Sakr, Steven P. Levitan, Donald M. Chiarulli, Bill G. Horne, C. Lee Giles

AAAI 1997 Presenting and Analyzing the Results of AI Experiments: Data Averaging and Data Snooping C. Lee Giles, Steve Lawrence

CVPR 1996 Convolutional Neural Networks for Face Recognition Steve Lawrence, C. Lee Giles, Ah Chung Tsoi

NeurIPS 1996 Representation and Induction of Finite State Machines Using Time-Delay Neural Networks Daniel S. Clouse, C. Lee Giles, Bill G. Horne, Garrison W. Cottrell

NeCo 1996 Stable Encoding of Large Finite-State Automata in Recurrent Neural Networks with Sigmoid Discriminants Christian W. Omlin, C. Lee Giles

NeurIPS 1995 Learning Long-Term Dependencies Is Not as Difficult with NARX Networks Tsungnan Lin, Bill G. Horne, Peter Tiño, C. Lee Giles

NeurIPS 1994 An Experimental Comparison of Recurrent Neural Networks Bill G. Horne, C. Lee Giles

NeurIPS 1994 Effects of Noise on Convergence and Generalization in Recurrent Networks Kam Jim, Bill G. Horne, C. Lee Giles

NeurIPS 1994 Learning with Product Units Laurens R. Leerink, C. Lee Giles, Bill G. Horne, Marwan A. Jabri

NeCo 1992 Learning and Extracting Finite State Automata with Second-Order Recurrent Neural Networks C. Lee Giles, Clifford B. Miller, Dong Chen, Hsing-Hen Chen, Guo-Zheng Sun, Yee-Chun Lee

ICML 1992 Training Second-Order Recurrent Neural Networks Using Hints Christian W. Omlin, C. Lee Giles

NeurIPS 1992 Using Prior Knowledge in a NNPDA to Learn Context-Free Languages Sreerupa Das, C. Lee Giles, Guo-Zheng Sun

NeurIPS 1991 Neural Network Routing for Random Multistage Interconnection Networks Mark W. Goudreau, C. Lee Giles

NeurIPS 1989 Higher Order Recurrent Networks and Grammatical Inference C. Lee Giles, Guo-Zheng Sun, Hsing-Hen Chen, Yee-Chun Lee, Dong Chen

NeurIPS 1987 Encoding Geometric Invariances in Higher-Order Neural Networks C. Lee Giles, R. D. Griffin, T. Maxwell