John E. Hopcroft

ORCID

Publication Activity (10 Years)

Years Active: 1965-2024
Publications (10 Years): 64

Top Venues

CoRR

ACM Trans. Knowl. Discov. Data

ICLR

WWW

Publications

Jinsong Chen, Hanpeng Liu, John E. Hopcroft, Kun He
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers. CoRR (2024)
Jinsong Chen, Gaichao Li, John E. Hopcroft, Kun He
SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning. CoRR (2023)
Yu-Zhe Shi, Manjie Xu, John E. Hopcroft, Kun He, Joshua B. Tenenbaum, Song-Chun Zhu, Ying Nian Wu, Wenjuan Han, Yixin Zhu
On the Complexity of Bayesian Generalization. ICML (2023)
Meng Wang, Boyu Li, Kun He, John E. Hopcroft
Uncovering the Local Hidden Community Structure in Social Networks. ACM Trans. Knowl. Discov. Data 17 (5) (2023)
Gaichao Li, Jinsong Chen, John E. Hopcroft, Kun He
Diversified Node Sampling based Hierarchical Transformer Pooling for Graph Representation Learning. CoRR (2023)
Kun He, Xin Liu, Yichen Yang, Zhou Qin, Weigao Wen, Hui Xue, John E. Hopcroft
PIAT: Parameter Interpolation based Adversarial Training for Image Classification. CoRR (2023)
Boyu Li, Meng Wang, John E. Hopcroft, Kun He
HoSIM: Higher-order Structural Importance based method for multiple local community detection. Knowl. Based Syst. 256 (2022)
Yifeng Xiong, Jiadong Lin, Min Zhang, John E. Hopcroft, Kun He
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability. CVPR (2022)
Binghui Li, Jikai Jin, Han Zhong, John E. Hopcroft, Liwei Wang
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power. NeurIPS (2022)
Yu-Zhe Shi, Manjie Xu, John E. Hopcroft, Kun He, Joshua B. Tenenbaum, Song-Chun Zhu, Ying Nian Wu, Wenjuan Han, Yixin Zhu
On the Complexity of Bayesian Generalization. CoRR (2022)
Boyu Li, Meng Wang, John E. Hopcroft, Kun He
HoSIM: Higher-order Structural Importance based Method for Multiple Local Community Detection. CoRR (2022)
Binghui Li, Jikai Jin, Han Zhong, John E. Hopcroft, Liwei Wang
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power. CoRR (2022)
Shuoxi Zhang, Hanpeng Liu, John E. Hopcroft, Kun He
Class-aware Information for Logit-based Knowledge Distillation. CoRR (2022)
Kun He, Chang Liu, Stephen Lin, John E. Hopcroft
Local Magnification for Data and Feature Augmentation. CoRR (2022)
Meng Wang, Boyu Li, Kun He, John E. Hopcroft
Uncovering the Local Hidden Community Structure in Social Networks. CoRR (2021)
Kun He, Chao Li, Yixiao Yang, Gao Huang, John E. Hopcroft
Integrating Circle Kernels into Convolutional Neural Networks. CoRR (2021)
Xuecheng Liu, Luoyi Fu, Xinbing Wang, John E. Hopcroft
ProHiCo: A Probabilistic Framework to Hide Communities in Large Networks. INFOCOM (2021)
Xiaodong Xin, Kun He, Jialu Bao, Bart Selman, John E. Hopcroft
Structure Amplification on Multi-layer Stochastic Block Models. CoRR (2021)
Yifeng Xiong, Jiadong Lin, Min Zhang, John E. Hopcroft, Kun He
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability. CoRR (2021)
Jialu Bao, Kun He, Xiaodong Xin, Bart Selman, John E. Hopcroft
Hidden Community Detection on Two-layer Stochastic Models: a Theoretical Prospective. CoRR (2020)
Chuanbiao Song, Kun He, Jiadong Lin, Liwei Wang, John E. Hopcroft
Robust Local Features for Improving the Generalization of Adversarial Training. ICLR (2020)
Jialu Bao, Kun He, Xiaodong Xin, Bart Selman, John E. Hopcroft
Hidden Community Detection on Two-Layer Stochastic Models: A Theoretical Perspective. TAMC (2020)
Jiadong Lin, Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks. ICLR (2020)
Chao Li, Yixiao Yang, Kun He, Stephen Lin, John E. Hopcroft
Single Image Reflection Removal Through Cascaded Refinement. CVPR (2020)
Runtian Zhai, Tianle Cai, Di He, Chen Dan, Kun He, John E. Hopcroft, Liwei Wang
Adversarially Robust Generalization Just Requires More Unlabeled Data. CoRR (2019)
Chao Li, Yixiao Yang, Kun He, Stephen Lin, John E. Hopcroft
Single Image Reflection Removal through Cascaded Refinement. CoRR (2019)
Kun He, Wu Wang, Xiaosen Wang, John E. Hopcroft
A new anchor word selection method for the separable topic discovery. WIREs Data Mining Knowl. Discov. 9 (5) (2019)
Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft
Improving the Generalization of Adversarial Training with Domain Adaptation. ICLR (Poster) (2019)
Pan Shi, Kun He, David Bindel, John E. Hopcroft
Locally-biased spectral approximation for community detection. Knowl. Based Syst. 164 (2019)
Zengjian Chen, Jiayi Liu, Yihe Deng, Kun He, John E. Hopcroft
Adaptive Wavelet Clustering for Highly Noisy Data. ICDE (2019)
Chuanbiao Song, Kun He, Jiadong Lin, Liwei Wang, John E. Hopcroft
Robust Local Features for Improving the Generalization of Adversarial Training. CoRR (2019)
Carla P. Gomes, Thomas G. Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Z. Fern, Daniel Fink, Douglas H. Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John M. Gregoire, John E. Hopcroft, Steve Kelling, J. Zico Kolter, Warren B. Powell, Nicole D. Sintov, John S. Selker, Bart Selman, Daniel Sheldon, David B. Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Lou Zeeman
Computational sustainability: computing for a better world and a sustainable future. Commun. ACM 62 (9) (2019)
Xiaosen Wang, Kun He, John E. Hopcroft
AT-GAN: A Generative Attack Model for Adversarial Transferring on Generative Adversarial Nets. CoRR (2019)
Jiadong Lin, Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft
Nesterov Accelerated Gradient and Scale Invariance for Improving Transferability of Adversarial Examples. CoRR (2019)
Kun He, Wu Wang, Xiaosen Wang, John E. Hopcroft
A New Anchor Word Selection Method for the Separable Topic Discovery. CoRR (2019)
Kun He, Pan Shi, David Bindel, John E. Hopcroft
Krylov Subspace Approximation for Local Community Detection in Large Networks. ACM Trans. Knowl. Discov. Data 13 (5) (2019)
Yuzhe Ma, Kun He, John E. Hopcroft, Pan Shi
Neighbourhood-preserving dimension reduction via localised multidimensional scaling. Theor. Comput. Sci. 734 (2018)
Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft
Improving the Generalization of Adversarial Training with Domain Adaptation. CoRR (2018)
Liwei Wang, Lunjia Hu, Jiayuan Gu, Zhiqiang Hu, Yue Wu, Kun He, John E. Hopcroft
Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation. NeurIPS (2018)
Liwei Wang, Lunjia Hu, Jiayuan Gu, Yue Wu, Zhiqiang Hu, Kun He, John E. Hopcroft
Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation. CoRR (2018)
Tao Yu, Huan Long, John E. Hopcroft
Curvature-based Comparison of Two Neural Networks. CoRR (2018)
Tao Yu, Huan Long, John E. Hopcroft
Curvature-based Comparison of Two Neural Networks. ICPR (2018)
Zengjian Chen, Jiayi Liu, Yihe Deng, Kun He, John E. Hopcroft
Adaptive Wavelet Clustering for Highly Noisy Data. CoRR (2018)
Yixuan Li, Kun He, Kyle Kloster, David Bindel, John E. Hopcroft
Local Spectral Clustering for Overlapping Community Detection. ACM Trans. Knowl. Discov. Data 12 (2) (2018)
Kun He, Yingru Li, Sucheta Soundarajan, John E. Hopcroft
Hidden community detection in social networks. Inf. Sci. 425 (2018)
Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Q. Weinberger
Snapshot Ensembles: Train 1, Get M for Free. ICLR (Poster) (2017)
Mengxiao Zhang, Wangquan Wu, Yanren Zhang, Kun He, Tao Yu, Huan Long, John E. Hopcroft
The Local Dimension of Deep Manifold. CoRR (2017)
Kun He, Yingru Li, Sucheta Soundarajan, John E. Hopcroft
Hidden Community Detection in Social Networks. CoRR (2017)
Kun He, Pan Shi, David Bindel, John E. Hopcroft
Krylov Subspace Approximation for Local Community Detection. CoRR (2017)
Xun Huang, Yixuan Li, Omid Poursaeed, John E. Hopcroft, Serge J. Belongie
Stacked Generative Adversarial Networks. CVPR (2017)
Jian Hu, Kun He, John E. Hopcroft, Yaren Zhang
Deep Compression on Convolutional Neural Network for Artistic Style Transfer. NCTCS (2017)
Pan Shi, Kun He, David Bindel, John E. Hopcroft
Local Lanczos Spectral Approximation for Community Detection. ECML/PKDD (1) (2017)
Wu Wang, Houquan Zhou, Kun He, John E. Hopcroft
Learning Latent Topics from the Word Co-occurrence Network. NCTCS (2017)
Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Q. Weinberger
Snapshot Ensembles: Train 1, get M for free. CoRR (2017)
Yao Shu, Man Zhu, Kun He, John E. Hopcroft, Pan Zhou
Understanding Deep Representations through Random Weights. CoRR (2017)
John E. Hopcroft, Kun He
Computer Science in the Information Age. IEEE Intell. Informatics Bull. 18 (2) (2017)
Yuzhe Ma, Kun He, John E. Hopcroft, Pan Shi
Nonlinear Dimension Reduction by Local Multidimensional Scaling. FAW (2016)
Kun He, Yan Wang, John E. Hopcroft
A Powerful Generative Model Using Random Weights for the Deep Image Representation. NIPS (2016)
Jianer Chen, John E. Hopcroft
Special Issue for FAW 2014. J. Comb. Optim. 32 (1) (2016)
Xun Huang, Yixuan Li, Omid Poursaeed, John E. Hopcroft, Serge J. Belongie
Stacked Generative Adversarial Networks. CoRR (2016)
Yixuan Li, Oscar Martinez, Xing Chen, Yi Li, John E. Hopcroft
In a World That Counts: Clustering and Detecting Fake Social Engagement at Scale. WWW (2016)
Kun He, Yan Wang, John E. Hopcroft
A Powerful Generative Model Using Random Weights for the Deep Image Representation. CoRR (2016)
Yixuan Li, Jason Yosinski, Jeff Clune, Hod Lipson, John E. Hopcroft
Convergent Learning: Do different neural networks learn the same representations? ICLR (2016)
Jiezhong Qiu, Yixuan Li, Jie Tang, Zheng Lu, Hao Ye, Bo Chen, Qiang Yang, John E. Hopcroft
The Lifecycle and Cascade of WeChat Social Messaging Groups. WWW (2016)
Kun He, Sucheta Soundarajan, Xuezhi Cao, John E. Hopcroft, Menglong Huang
Revealing Multiple Layers of Hidden Community Structure in Networks. CoRR (2015)
Jacob R. Gardner, Matt J. Kusner, Yixuan Li, Paul Upchurch, Kilian Q. Weinberger, John E. Hopcroft
Deep Manifold Traversal: Changing Labels with Convolutional Features. CoRR (2015)
Jianer Chen, John E. Hopcroft
Frontiers of Algorithmics. Theor. Comput. Sci. 607 (2015)
Yixuan Li, Kun He, David Bindel, John E. Hopcroft
Uncovering the Small Community Structure in Large Networks: A Local Spectral Approach. CoRR (2015)
Kun He, Yiwei Sun, David Bindel, John E. Hopcroft, Yixuan Li
Detecting Overlapping Communities from Local Spectral Subspaces. ICDM (2015)
Jiezhong Qiu, Yixuan Li, Jie Tang, Zheng Lu, Hao Ye, Bo Chen, Qiang Yang, John E. Hopcroft
The Lifecycle and Cascade of Social Messaging Groups. CoRR (2015)
Sucheta Soundarajan, John E. Hopcroft
Use of Local Group Information to Identify Communities in Networks. ACM Trans. Knowl. Discov. Data 9 (3) (2015)
Yixuan Li, Jason Yosinski, Jeff Clune, Hod Lipson, John E. Hopcroft
Convergent Learning: Do different neural networks learn the same representations? FE@NIPS (2015)
Yixuan Li, Kun He, David Bindel, John E. Hopcroft
Overlapping Community Detection via Local Spectral Clustering. CoRR (2015)
Yixuan Li, Kun He, David Bindel, John E. Hopcroft
Uncovering the Small Community Structure in Large Networks: A Local Spectral Approach. WWW (2015)
Kun He, Yiwei Sun, David Bindel, John E. Hopcroft, Yixuan Li
Detecting Overlapping Communities from Local Spectral Subspaces. CoRR (2015)
Yixuan Li, Oscar Martinez, Xing Chen, Yi Li, John E. Hopcroft
In a World that Counts: Clustering and Detecting Fake Social Engagement at Scale. CoRR (2015)
Bruno D. Abrahao, Sucheta Soundarajan, John E. Hopcroft, Robert D. Kleinberg
A separability framework for analyzing community structure. ACM Trans. Knowl. Discov. Data 8 (1) (2014)
Ping Li, Gennady Samorodnitsky, John E. Hopcroft
Sign Stable Projections, Sign Cauchy Projections and Chi-Square Kernels. CoRR (2013)
Ping Li, Gennady Samorodnitsky, John E. Hopcroft
Sign Cauchy Projections and Chi-Square Kernel. NIPS (2013)
Liaoruo Wang, John E. Hopcroft, Jing He, Hongyu Liang, Supasorn Suwajanakorn
Extracting the Core Structure of Social Networks Using (α, β)-Communities. Internet Math. 9 (1) (2013)
Tiancheng Lou, Jie Tang, John E. Hopcroft, Zhanpeng Fang, Xiaowen Ding
Learning to predict reciprocity and triadic closure in social networks. ACM Trans. Knowl. Discov. Data 7 (2) (2013)
Sucheta Soundarajan, John E. Hopcroft
Use of Supervised Learning to Predict Directionality of Links in a Network. ADMA (2012)
Vint Cerf, John E. Hopcroft, Robert E. Kahn, Ronald L. Rivest, Adi Shamir
Information, Data, Security in a Networked Future. ACM-TURING (2012)
John E. Hopcroft
Future Directions in Computer Science Research. ISAAC (2012)
Sucheta Soundarajan, John E. Hopcroft
Using community information to improve the precision of link prediction methods. WWW (Companion Volume) (2012)
John E. Hopcroft
Making the World a Better Place. Logic and Program Semantics (2012)
Bruno D. Abrahao, Sucheta Soundarajan, John E. Hopcroft, Robert Kleinberg
On the separability of structural classes of communities. KDD (2012)
John E. Hopcroft
On the Impact of Turing Machines. TAMC (2012)
Liaoruo Wang, Stefano Ermon, John E. Hopcroft
Feature-Enhanced Probabilistic Models for Diffusion Network Inference. ECML/PKDD (2) (2012)
Jing He, John E. Hopcroft, Hongyu Liang, Supasorn Suwajanakorn, Liaoruo Wang
)-Communities. WAW (2011)
Yookyung Jo, John E. Hopcroft, Carl Lagoze
The web of topics: discovering the topology of topic evolution in a corpus. WWW (2011)
Liaoruo Wang, Tiancheng Lou, Jie Tang, John E. Hopcroft
Detecting Community Kernels in Large Social Networks. ICDM (2011)
John E. Hopcroft, Sucheta Soundarajan, Liaoruo Wang
The Future of Computer Science. Int. J. Softw. Informatics 5 (4) (2011)
John E. Hopcroft, Tiancheng Lou, Jie Tang
Who will follow you back?: reciprocal relationship prediction. CIKM (2011)
Sucheta Soundarajan, John E. Hopcroft
Recovering Social Networks from Contagion Information. TAMC (2010)
Liaoruo Wang, John E. Hopcroft
Community Structure in Large Complex Networks. TAMC (2010)
John E. Hopcroft
New Research Directions in the Information Age. TAMC (2010)
John E. Hopcroft
Computer Science in the Information Age. FAW (2008)
Reid Andersen, Christian Borgs, Jennifer T. Chayes, John E. Hopcroft, Kamal Jain, Vahab S. Mirrokni, Shang-Hua Teng
Robust PageRank and locally computable spam detection features. AIRWeb (2008)
Reid Andersen, Christian Borgs, Jennifer T. Chayes, John E. Hopcroft, Vahab S. Mirrokni, Shang-Hua Teng
On the Stability of Web Crawling and Web Search. ISAAC (2008)

John E. Hopcroft.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

John E. Hopcroft