J. Hopcroft

发表

Planning, geometry, and complexity of robot motion

Micha Sharir, John E. Hopcroft, Jacob T. Schwartz, 1986 .

The Design and Analysis of Computer Algorithms

Alfred V. Aho, Jeffrey D. Ullman, John E. Hopcroft, 1974 .

On Minimizing the Number of Multiplications Necessary for Matrix Multiplication

L. R. Kerr, J. Hopcroft, 1969 .

Formal languages and their relation to automata

Jeffrey D. Ullman, John E. Hopcroft, J. Hopcroft, 1969, Addison-Wesley series in computer science and information processing.

Efficient Detection of Intersections among Spheres

J. Schwartz, M. Sharir, J. Hopcroft, 1983 .

On the Complexity of Motion Planning for Multiple Independent Objects; PSPACE- Hardness of the "Warehouseman's Problem"

J. Schwartz, M. Sharir, J. Hopcroft, 1984 .

Convergent Learning: Do different neural networks learn the same representations?

Hod Lipson, John E. Hopcroft, Jason Yosinski, 2015, FE@NIPS.

Routing, merging and sorting on parallel models of computation

Allan Borodin, John E. Hopcroft, J. Hopcroft, 1982, STOC '82.

Routing, Merging, and Sorting on Parallel Models of Computation

Allan Borodin, John E. Hopcroft, J. Hopcroft, 1985, J. Comput. Syst. Sci..

Triangular Factorization and Inversion by Fast Matrix Multiplication

J. Hopcroft, J. Bunch, 1974 .

An n log n algorithm for isomorphism of planar triply connected graphs

J. Hopcroft, 1971 .

Efficient algorithms for graph manipulation

J. Hopcroft, R. Tarjan, 1971 .

Fast parallel matrix and GCD computations

J. Hopcroft, A. Borodin, Joachim von zur Gathem, 1982, FOCS 1982.

Introduction to Automata Theory, Languages and Computation

Jeffrey D. Ullman, John E. Hopcroft, J. Hopcroft, 1979 .

Snapshot Ensembles: Train 1, get M for free pdf

Kilian Q. Weinberger, John E. Hopcroft, Yixuan Li, 2017, ICLR.

A n^5/2 Algorithm for Maximum Matchings in Bipartite Graphs

Richard M. Karp, John E. Hopcroft, J. Hopcroft, 1971, SWAT.

The Potential Method for Blending Surfaces and Corners

J. Hopcroft, C. Hoffmann, 1985 .

Feature-Enhanced Probabilistic Models for Diffusion Network Inference

Stefano Ermon, John E. Hopcroft, Liaoruo Wang, 2012, ECML/PKDD.

Isomorphism of Planar Graphs

Robert E. Tarjan, John E. Hopcroft, J. Hopcroft, 1972, Complexity of Computer Computations.

Algorithm 447: efficient algorithms for graph manipulation

J. Hopcroft, R. Tarjan, 1973, CACM.

Finding the Triconnected Components of a Graph

J. Hopcroft, R. Tarjan, 1972 .

Modeling, mesh generation, and adaptive numerical methods for partial differential equations

J. Hopcroft, I. Babuska, J. Flaherty, 1995 .

Reasoning about Xml Schema Languages Using Formal Language Theory

J. Hopcroft, J. Ullman, 2000 .

Deep Manifold Traversal: Changing Labels with Convolutional Features pdf

Matt J. Kusner, Kilian Q. Weinberger, John E. Hopcroft, 2015, ArXiv.

Simulation of physical systems from geometric models

John E. Hopcroft, Christoph M. Hoffmann, J. Hopcroft, 1987, IEEE J. Robotics Autom..

Dividing a Graph into Triconnected Components

Robert E. Tarjan, John E. Hopcroft, J. Hopcroft, 1973, SIAM J. Comput..

Movement Problems for 2-Dimensional Linkages

John E. Hopcroft, Sue Whitesides, Deborah Joseph, 1984, SIAM J. Comput..

Relations Between Time and Tape Complexities

Jeffrey D. Ullman, John E. Hopcroft, J. Hopcroft, 1968, JACM.

A n^5/2 Algorithm for Maximum Matchings in Bipartite Graphs

Richard M. Karp, John E. Hopcroft, J. Hopcroft, 1971, SWAT.

Are randomly grown graphs really random?

J. Hopcroft, M. Newman, S. Strogatz, 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

Polynomial-time algorithms for permutation groups

John E. Hopcroft, Eugene M. Luks, Merrick L. Furst, 1980, 21st Annual Symposium on Foundations of Computer Science (sfcs 1980).

On Time Versus Space

Leslie G. Valiant, Wolfgang J. Paul, John E. Hopcroft, 1977, JACM.

An n log n algorithm for minimizing states in a finite automaton

John E. Hopcroft, J. Hopcroft, 1971 .

Data Structures and Algorithms

Alfred V. Aho, Jeffrey D. Ullman, John E. Hopcroft, 1983 .

Efficient Planarity Testing

Robert E. Tarjan, John E. Hopcroft, J. Hopcroft, 1974, JACM.

Correctness of a gossip based membership protocol

John E. Hopcroft, Alan J. Demers, André Allavena, 2005, PODC '05.

Detecting Community Kernels in Large Social Networks

Jie Tang, John E. Hopcroft, Tiancheng Lou, 2011, 2011 IEEE 11th International Conference on Data Mining.

Robust set operations on polyhedral solids

John E. Hopcroft, Christoph M. Hoffmann, Michael S. Karasick, 1987, IEEE Computer Graphics and Applications.

Computational sustainability

Thomas G. Dietterich, Steve Kelling, Warren B. Powell, 2011, AI Mag..

Error bounds for correlation clustering

Thorsten Joachims, John E. Hopcroft, J. Hopcroft, 2005, ICML.

Algorithm 447: efficient algorithms for graph manipulation

J. Hopcroft, R. Tarjan, 1973, CACM.

Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability

J. Hopcroft, Yifeng Xiong, Jiadong Lin, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Name Fundamental Mechanism References

J. Hopcroft, M. Newman, A. Barabasi, 2022 .

A Linear Algorithm for Testing Equivalence of Finite Automata.

J. Hopcroft, R. Karp, 1971 .

Hybrid Network Learning

J. Hopcroft, Jujang Lee, T. Eom, 2020 .

Independence results in computer science

J. Hopcroft, J. Hartmanis, Juris Hartmanis, 1976, SIGA.

An Approach to a Unified Theory of Automata

J. Hopcroft, J. Ullman, 1967, SWAT.

Quadratic blending surfaces

J. Hopcroft, C. Hoffmann, 1985 .

On the Harmonious Coloring of Graphs

John E. Hopcroft, Mukkai S. Krishnamoorthy, J. Hopcroft, 1983 .

The structure and dynamics of large social networks

J. Hopcroft, Liaoruo Wang, 2013 .

A Linear Time Algorithm for the Generalized Consecutive Retrieval Problem

Paul F. Dietz, J. Hopcroft, M. Furst, 1979 .

Geometric ambiguities in boundary representations

John E. Hopcroft, Christoph M. Hoffmann, J. Hopcroft, 1986 .

Detecting the Structure of Social Networks Using (α, β)-Communities

John E. Hopcroft, Jing He, Hongyu Liang, 2011, WAW.

Detecting the Structure of Social Networks using (\alpha, \beta)-Communities

J. Hopcroft, Liaoruo Wang, Jing He, 2011 .

The Natural Communities Algorithm for Tracking the Evolution of Large Networks

J. Hopcroft, B. Kulis, B. Selman, 2004 .

Robust Iterators in ET++

J. Hopcroft, A. Aho, J. Ullman, 1992 .

J. Hopcroft, D. Huttenlocher, B. Kernighan, 1994 .

INDEPENDENCE OF AFL OPERATION.

John E. Hopcroft, Sheila Greibach, J. Hopcroft, 1967 .

Synthesis of Minimal Threshold Logic Networks

John E. Hopcroft, R. L. Mattson, J. Hopcroft, 1965, IEEE Trans. Electron. Comput..

Error correction for formal languages

Jeffrey D. Ullman, John E. Hopcroft, J. Hopcroft, 1966 .

A Comment on "Improving a Nonenumerative Method to Estimate Path Delay Fault Coverage"

Alfred V. Aho, Jeffrey D. Ullman, John E. Hopcroft, 1999 .

Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power

J. Hopcroft, Liwei Wang, Han Zhong, 2022, ArXiv.

Fast parallel matrix and GCD computations

Allan Borodin, Joachim von zur Gathen, John E. Hopcroft, 1982, 23rd Annual Symposium on Foundations of Computer Science (sfcs 1982).

A V² Algorithm for Determining Isomorphism of Planar Graphs

Robert E. Tarjan, John E. Hopcroft, J. Hopcroft, 1971, Inf. Process. Lett..

Affine invariants for model-based recognition

Daniel P. Huttenlocher, John E. Hopcroft, Peter C. Wayner, 1992 .

Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power

J. Hopcroft, Liwei Wang, Han Zhong, 2022, ArXiv.

Complexity of Computer Computations

John E. Hopcroft, J. Hopcroft, 1974, IFIP Congress.

Introduction to automata theory, languages, and computation - international edition, 2nd Edition

Rajeev Motwani, Jeffrey D. Ullman, John E. Hopcroft, 2003 .

Elementary complexity theory

J. Hopcroft, J. Ullman, R. Motwani, 2019 .

Elementary complexity theory November 17 , 2018 1 Languages , automata

J. Hopcroft, J. Ullman, R. Motwani, 2018 .

, “Introduction to Automata Theory, Languages and Computations”, second Edition, Pearson Education, 2007

Rajeev Motwani, Jeffrey D. Ullman, John E. Hopcroft, 2015 .

Are randomly grown graphs really random?

J. Hopcroft, M. Newman, S. Strogatz, 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power

J. Hopcroft, Liwei Wang, Han Zhong, 2022, NeurIPS.

Single Image Reflection Removal Through Cascaded Refinement

J. Hopcroft, Stephen Lin, Yixiao Yang, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Toward better computer science

John E. Hopcroft, Dean B. Krafft, J. Hopcroft, 1987 .

Algebraic structure theory of sequential machines: by J. Hartmanis and R. E. Stearns. 211 pages, diagrams, 6 × 9 in. Englewood Cliffs, New Jersey, Prentice-Hall, Inc., 1966. Price, $12.00

John E. Hopcroft, J. Hopcroft, 1967 .

Local Magnification for Data and Feature Augmentation

J. Hopcroft, Stephen Lin, Kun He, 2022, ArXiv.

Examining behavioral effects of player sex in two large-scale MMOs

J. Hopcroft, R. Ratan, Chandan Sarkar, 2012 .

On the Complexity of Bayesian Generalization

J. Tenenbaum, J. Hopcroft, Y. Wu, 2022, ICML.

Class-aware Information for Logit-based Knowledge Distillation

J. Hopcroft, Shuo Zhang, Kun He, 2022, ArXiv.

Foundations of Data Science

Avrim Blum, John E. Hopcroft, Ravindran Kannan, 2020 .

Best-Fit Subspaces and Singular Value Decomposition (SVD)

Avrim Blum, John E. Hopcroft, Ravi Kannan, 2020 .

Random Walks and Markov Chains

J. Hopcroft, A. Blum, R. Kannan, 2020, Foundations of Data Science.

Algorithms for Massive Data Problems: Streaming, Sketching, and Sampling

J. Hopcroft, A. Blum, R. Kannan, 2020 .

Spectral clustering with limited independence

Anirban Dasgupta, John E. Hopcroft, Pradipta Mitra, 2007, SODA '07.

On learning mixtures of heavy-tailed distributions

Jon M. Kleinberg, Anirban Dasgupta, John E. Hopcroft, 2005, 46th Annual IEEE Symposium on Foundations of Computer Science (FOCS'05).

The Complexity of Equivalence and Containment for Free Single Variable Program Schemes

Erik Meineche Schmidt, John E. Hopcroft, Steven Fortune, 1978, ICALP.

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Kun He, John E. Hopcroft, Liwei Wang, 2019, ICLR.

Motion of Objects in Contact

John E. Hopcroft, Gordon Wilfong, J. Hopcroft, 1984 .

On the movement of robot arms in 2-dimensional bounded regions

John E. Hopcroft, Sue Whitesides, Deborah Joseph, 1982, 23rd Annual Symposium on Foundations of Computer Science (sfcs 1982).

Spectral Clustering by Recursive Partitioning

Anirban Dasgupta, John E. Hopcroft, Pradipta Mitra, 2006, ESA.

Spectral analysis of random graphs with skewed degree distributions

Anirban Dasgupta, John E. Hopcroft, Frank McSherry, 2004, 45th Annual IEEE Symposium on Foundations of Computer Science.

Linear time algorithm for isomorphism of planar graphs (Preliminary Report)

John E. Hopcroft, J. K. Wong, J. Hopcroft, 1974, STOC '74.

A V log V Algorithm for Isomorphism of Triconnected Planar Graphs

Robert E. Tarjan, John E. Hopcroft, J. Hopcroft, 1973, J. Comput. Syst. Sci..

Uncovering the Local Hidden Community Structure in Social Networks pdf

John E. Hopcroft, Kun He, Meng Wang, 2021, ACM Trans. Knowl. Discov. Data.

Local Spectral Clustering for Overlapping Community Detection

Kun He, John E. Hopcroft, Yixuan Li, 2018, ACM Trans. Knowl. Discov. Data.

In a World That Counts: Clustering and Detecting Fake Social Engagement at Scale

Yi Li, Xing Chen, John E. Hopcroft, 2015, WWW.

Overlapping Community Detection via Local Spectral Clustering pdf

Kun He, John E. Hopcroft, Yixuan Li, 2015, ArXiv.

Uncovering the Small Community Structure in Large Networks: A Local Spectral Approach

Kun He, John E. Hopcroft, Yixuan Li, 2015, WWW.

Use of Local Group Information to Identify Communities in Networks

John E. Hopcroft, Sucheta Soundarajan, J. Hopcroft, 2015, ACM Trans. Knowl. Discov. Data.

Revealing Multiple Layers of Hidden Community Structure in Networks pdf

Kun He, John E. Hopcroft, Sucheta Soundarajan, 2015, ArXiv.

A separability framework for analyzing community structure

John E. Hopcroft, Robert D. Kleinberg, Sucheta Soundarajan, 2014, ACM Trans. Knowl. Discov. Data.

On the separability of structural classes of communities

John E. Hopcroft, Robert D. Kleinberg, Sucheta Soundarajan, 2012, KDD.

Tracking evolving communities in large linked networks

Bart Selman, John Hopcroft, Brian Kulis, 2004, Proceedings of the National Academy of Sciences of the United States of America.

Detecting Overlapping Communities from Local Spectral Subspaces

Kun He, John E. Hopcroft, Yixuan Li, 2015, 2015 IEEE International Conference on Data Mining.

Krylov Subspace Approximation for Local Community Detection in Large Networks

John E. Hopcroft, Kun He, David Bindel, 2017, ACM Trans. Knowl. Discov. Data.

Hidden Community Detection in Social Networks pdf

Kun He, John E. Hopcroft, Sucheta Soundarajan, 2017, Inf. Sci..

Learning to predict reciprocity and triadic closure in social networks

Jie Tang, John E. Hopcroft, Zhanpeng Fang, 2013, TKDD.

Who will follow you back?: reciprocal relationship prediction

Jie Tang, John E. Hopcroft, Tiancheng Lou, 2011, CIKM '11.

Adaptive Wavelet Clustering for High Noise Data

Kun He, John E. Hopcroft, Yihe Deng, 2018, 1811.10786.

A Note on Cryptography and NP$\cap$ CoNP-P

John E. Hopcroft, Steven Fortune, J. Hopcroft, 1978 .

Scattered Context Grammars

John E. Hopcroft, Sheila A. Greibach, J. Hopcroft, 1969, J. Comput. Syst. Sci..

Simple Deterministic Languages

John E. Hopcroft, A. J. Korenjak, J. Hopcroft, 1966, SWAT.

Extracting the Core Structure of Social Networks Using (α, β)-Communities

John E. Hopcroft, Jing He, Hongyu Liang, 2013, Internet Math..

The Future of Computer Science

John E. Hopcroft, Sucheta Soundarajan, Liaoruo Wang, 2011, Int. J. Softw. Informatics.

Community Structure in Large Complex Networks

John E. Hopcroft, Liaoruo Wang, J. Hopcroft, 2010, TAMC.

Time and Tape Complexity of Pushdown Automaton Languages

Alfred V. Aho, Jeffrey D. Ullman, John E. Hopcroft, 1968, Inf. Control..

Quantifying knowledge from the perspective of information structurization

J. Hopcroft, L. Yao, Xinbing Wang, 2023, PloS one.

The Directed Subgraph Homeomorphism Problem

John E. Hopcroft, Steven Fortune, James Wyllie, 1978, Theor. Comput. Sci..

Introduction to automata theory, languages, and computation, 2nd edition

Jeffrey D. Ullman, John E. Hopcroft, J. Hopcroft, 2001, SIGA.

A Case Study of Flexible Object Manipulation

Joseph K. Kearney, John E. Hopcroft, Dean B. Krafft, 1991, Int. J. Robotics Res..

Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation

Liwei Wang, Zhiqiang Hu, Yue Wu, 2018, NeurIPS.

A new anchor word selection method for the separable topic discovery

Xiaosen Wang, John E. Hopcroft, Kun He, 2019, WIREs Data Mining Knowl. Discov..

Modular Decomposition of Synchronous Sequential Machines

John E. Hopcroft, Peter Weiner, J. Hopcroft, 1967, SWAT.

Tracing surface intersections

Chandrajit L. Bajaj, John E. Hopcroft, Christoph M. Hoffmann, 1988, Comput. Aided Geom. Des..

Local Computation of PageRank Contributions

Vahab S. Mirrokni, Shang-Hua Teng, Christian Borgs, 2007, Internet Math..

The Lifecycle and Cascade of WeChat Social Messaging Groups

Qiang Yang, Bo Chen, Hao Ye, 2015, WWW.

Recent Directions in Algorithmic Research

John E. Hopcroft, J. Hopcroft, 1981, Theoretical Computer Science.

The Lifecycle and Cascade of Social Messaging Groups pdf

Qiang Yang, Hao Ye, Jie Tang, 2015, ArXiv.

Binary encoding of analog signals for noisy channels

Kenneth Steiglitz, John E. Hopcroft, A. J. Bernstein, 1965 .

Natural communities in large linked networks

Bart Selman, John E. Hopcroft, Brian Kulis, 2003, KDD '03.

Stacked Generative Adversarial Networks

John E. Hopcroft, Serge J. Belongie, Yixuan Li, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Proceedings of the fifth annual ACM symposium on Theory of computing

J. Hopcroft, M. Harrison, E. P. Friedman, 1977 .

Frontiers in Algorithmics

Jianer Chen, John E. Hopcroft, J. Hopcroft, 2015, Lecture Notes in Computer Science.

Adversarially Robust Generalization Just Requires More Unlabeled Data pdf

Di He, Liwei Wang, Chen Dan, 2019, ArXiv.

On finding lowest common ancestors in trees

Alfred V. Aho, Jeffrey D. Ullman, John E. Hopcroft, 1973, SIAM J. Comput..

AT-GAN: An Adversarial Generator Model for Non-constrained Adversarial Examples

J. Hopcroft, Liwei Wang, Kun He, 2019, 1904.07793.

Special Issue for FAW 2014

J. Hopcroft, Jianer Chen, 2016, Journal of combinatorial optimization.

Improving the Generalization of Adversarial Training with Domain Adaptation pdf

Kun He, John E. Hopcroft, Liwei Wang, 2018, ICLR.

A Note on Rabin's Nearest-Neighbor Algorithm

John E. Hopcroft, Steven Fortune, J. Hopcroft, 1978, Inf. Process. Lett..

Computer science: the emergence of a discipline

John E. Hopcroft, J. Hopcroft, 1987, CACM.

Fast parallel matrix and GCD computations

Allan Borodin, Joachim von zur Gathen, John E. Hopcroft, 1982, 23rd Annual Symposium on Foundations of Computer Science (sfcs 1982).

PIAT: Parameter Interpolation based Adversarial Training for Image Classification

J. Hopcroft, Kun He, Yichen Yang, 2023, ArXiv.

Robust Local Features for Improving the Generalization of Adversarial Training

J. Hopcroft, Liwei Wang, Jiadong Lin, 2019, ICLR.

Model generation and modification for dynamic systems from geometric data

C. M. Hoffmann, J. E. Hopcroft, J. Hopcroft, 1988 .

Manipulation-Resistant Reputations Using Hitting Time

John E. Hopcroft, Daniel Sheldon, J. Hopcroft, 2007, Internet Math..

Colloquium Tracking evolving communities in large linked networks

Bart Selman, John Hopcroft, Brian Kulis, 2004 .

HoSIM: Higher-order Structural Importance based Method for Multiple Local Community Detection

J. Hopcroft, Kun He, Boyu Li, 2022, Knowl. Based Syst..

Finding (Short) Paths in Social Networks

Anirban Dasgupta, John E. Hopcroft, Ravi Kumar, 2006, Internet Math..

On Edge Coloring Bipartite Graphs

Richard Cole, John Hopcroft, J. Hopcroft, 1980, SIAM J. Comput..

Network Reputation Games

John E. Hopcroft, Daniel Sheldon, J. Hopcroft, 2008 .

Using community information to improve the precision of link prediction methods

John E. Hopcroft, Sucheta Soundarajan, J. Hopcroft, 2012, WWW.

5.2 Dynamic Matching 5.1 Parallel Static Dictionary Matching 3.2 Compressed Tries 4 Trie Based Dictionary Matching Algorithm 4.1 a Separator Decomposition Tree 3.1 Denition and Construction

J. Hopcroft, A. Aho, 2007 .

Sign Cauchy Projections and Chi-Square Kernel

Gennady Samorodnitsky, Ping Li, John E. Hopcroft, 2013, NIPS.

Some Techniques for Proving Certain Simple Programs Optimal

John E. Hopcroft, L. R. Kerr, J. Hopcroft, 1969, SWAT.

Duality Applied to the Complexity of Matrix Multiplication and Other Bilinear Forms

John E. Hopcroft, J. Musinski, J. Hopcroft, 1973, SIAM J. Comput..

A Powerful Generative Model Using Random Weights for the Deep Image Representation

Yan Wang, Kun He, John E. Hopcroft, 2016, NIPS.

Sign Stable Projections, Sign Cauchy Projections and Chi-Square Kernels pdf

Gennady Samorodnitsky, Ping Li, John E. Hopcroft, 2013, ArXiv.

AT-GAN: A Generative Attack Model for Adversarial Transferring on Generative Adversarial Nets

J. Hopcroft, Kun He, Xiaosen Wang, 2019, ArXiv.

A general theory of translation

Alfred V. Aho, Jeffrey D. Ullman, John E. Hopcroft, 1969, Mathematical systems theory.

Planarity Testing in V log V Steps: Extended Abstract

Robert E. Tarjan, John E. Hopcroft, J. Hopcroft, 1971, IFIP Congress.

Locally-biased spectral approximation for community detection

Kun He, John E. Hopcroft, David Bindel, 2019, Knowl. Based Syst..

Local Lanczos Spectral Approximation for Community Detection

Kun He, John E. Hopcroft, David Bindel, 2017, ECML/PKDD.

Set Merging Algorithms

Jeffrey D. Ullman, John E. Hopcroft, J. Hopcroft, 1973, SIAM J. Comput..

The web of topics: discovering the topology of topic evolution in a corpus

Carl Lagoze, John E. Hopcroft, Yookyung Jo, 2011, WWW.

Reducing Multiple Object Motion Planning to Graph Searching

John E. Hopcroft, Gordon T. Wilfong, J. Hopcroft, 1984, SIAM J. Comput..

Decreasing the Nesting Depth of Expressions Involving Square Roots

Allan Borodin, Ronald Fagin, John E. Hopcroft, 1985, J. Symb. Comput..

Refinement of Hierarchies of Time Bounded Computations

Juris Hartmanis, John E. Hopcroft, J. Hopcroft, 1968 .

Nesterov Accelerated Gradient and Scale Invariance for Improving Transferability of Adversarial Examples

J. Hopcroft, Liwei Wang, Jiadong Lin, 2019, ArXiv.

Some Results on Tape-Bounded Turing Machines

Jeffrey D. Ullman, John E. Hopcroft, J. Hopcroft, 1969, JACM.

Learning Latent Topics from the Word Co-occurrence Network

Kun He, John E. Hopcroft, Houquan Zhou, 2017, NCTCS.

The design and analysis of algorithms

Alfred V. Aho, Jeffrey D. Ullman, John E. Hopcroft, 1974 .

Studies In Abstract Families Of Languages

Seymour Ginsburg, John E. Hopcroft, Sheila A. Greibach, 1969 .

The mathematical work of Jon Kleinberg

John E. Hopcroft, Margaret H. Wright, Gert-Martin Greuel, 2007 .

An Overview of the Theory of Computational Complexity

Juris Hartmanis, John E. Hopcroft, J. Hopcroft, 1971, JACM.

On the Reachability Problem for 5-Dimensional Vector Addition Systems

John E. Hopcroft, Jean-Jacques Pansiot, J. Hopcroft, 1976, Theor. Comput. Sci..

Deep Neural Networks and the Tree of Life

Yan Wang, Yu Sun, John E. Hopcroft, 2016 .

On the Stability of Web Crawling and Web Search

Vahab S. Mirrokni, Shang-Hua Teng, Christian Borgs, 2008, ISAAC.

Automatic surface generation in computer aided design

John E. Hopcroft, Christoph M. Hoffmann, J. Hopcroft, 2005, The Visual Computer.

Foundations of Data Science

J. Hopcroft, R. Kannan, Avrim Blum, 2020 .

Curvature-based Comparison of Two Neural Networks

Tao Yu, Huan Long, John E. Hopcroft, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Recovering Social Networks from Contagion Information

John E. Hopcroft, Sucheta Soundarajan, J. Hopcroft, 2010, TAMC.

Integrating Large Circular Kernels into CNNs through Neural Architecture Search

J. Hopcroft, Gao Huang, Yixiao Yang, 2021, 2107.02451.

A paradigm for robust geometric algorithms

John E. Hopcroft, P. J. Kahn, Peter J. Kahn, 1989, Algorithmica.

Hierarchical Hidden Community Detection for Protein Complex Prediction

J. Hopcroft, Guangshuai Liu, Chao Li, 2019, 1910.03337.

Krylov Subspace Approximation for Local Community Detection in Large Networks

D. Bindel, J. Hopcroft, Kun He, 2017, ACM Trans. Knowl. Discov. Data.

Two-way balloon automata and AFL

Seymour Ginsburg, John E. Hopcroft, J. Hopcroft, 1968, JACM.

Sets Accepted by One-Way Stack Automata Are Context Sensitive

Jeffrey D. Ullman, John E. Hopcroft, J. Hopcroft, 1968, Inf. Control..

Deterministic Stack Automata and the Quotient Operator

Jeffrey D. Ullman, John E. Hopcroft, J. Hopcroft, 1968, J. Comput. Syst. Sci..

Decidable and Undecidable Questions About Automata

Jeffrey D. Ullman, John E. Hopcroft, J. Hopcroft, 1968, JACM.

An Approach to a Unified Theory of Automata

Jeffrey D. Ullman, John E. Hopcroft, J. Hopcroft, 1967, SWAT.

Nonerasing Stack Automata

Jeffrey D. Ullman, John E. Hopcroft, J. Hopcroft, 1967, J. Comput. Syst. Sci..

Dense and Non-Dense Families of Complexity Classes

Allan Borodin, Robert L. Constable, John E. Hopcroft, 1969, SWAT.

A recognition algorithm for pushdown store systems

Alfred V. Aho, Jeffrey D. Ullman, John E. Hopcroft, 1968, ACM National Conference.

On time versus space and related problems

Leslie G. Valiant, Wolfgang J. Paul, John E. Hopcroft, 1975, 16th Annual Symposium on Foundations of Computer Science (sfcs 1975).

A Note on Cryptography and NPnCoNP-P,

Gilles Brassard, John Hopcroft, J. Hopcroft, 1978 .