John E. Hopcroft

Cornell University — United States

Physics and Astronomy · Physical Sciences

73h-index33.1kcitations309works0.92yr avg
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Research Topics

Complex Network Analysis Techniques(64), semigroups and automata theory(39), Opinion Dynamics and Social Influence(34), Algorithms and Data Compression(31), Computability, Logic, AI Algorithms(30)

Publications309 total

Learning to Rewrite Prompts for Bootstrapping LLMs on Downstream Tasks
arXiv (Cornell University)·2025Open Access
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse
arXiv (Cornell University)·2025Open Access
Rethinking Tokenized Graph Transformers for Node Classification
arXiv (Cornell University)·2025Open Access
Parameter Interpolation Adversarial Training for Robust Image Classification
IEEE Transactions on Information Forensics and Security·2025· 4 cited
Tokenizing 3D Molecule Structure with Quantized Spherical Coordinates
arXiv (Cornell University)·2024Open Access
Structure Amplification on Multi-layer Stochastic Block Models
ACM Transactions on Knowledge Discovery from Data·2024Open Access
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers
arXiv (Cornell University)·2024· 3 citedOpen Access
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers
2024
Diversified Node Sampling based Hierarchical Transformer Pooling for Graph Representation Learning
arXiv (Cornell University)·2023Open Access
SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning
arXiv (Cornell University)·2023· 1 citedOpen Access
PIAT: Parameter Interpolation based Adversarial Training for Image Classification
arXiv (Cornell University)·2023Open Access
Quantifying knowledge from the perspective of information structurization
PLoS ONE·2023· 5 citedOpen Access
Class-aware Information for Logit-based Knowledge Distillation
arXiv (Cornell University)·2022Open Access
On the Complexity of Bayesian Generalization
arXiv (Cornell University)·2022· 1 citedOpen Access
Local Magnification for Data and Feature Augmentation
arXiv (Cornell University)·2022Open Access
Uncovering the Local Hidden Community Structure in Social Networks
ACM Transactions on Knowledge Discovery from Data·2022· 1 cited
HoSIM: Higher-order Structural Importance based method for multiple local community detection
Knowledge-Based Systems·2022· 11 cited
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 116 cited
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power
arXiv (Cornell University)·2022· 6 citedOpen Access
HoSIM: Higher-order Structural Importance based Method for Multiple Local Community Detection
arXiv (Cornell University)·2022Open Access
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Frequent Co-authors

Jeffrey D. Ullman(6), Kun He(5), Robert E. Tarjan(4), Allan Borodin(3), Alfred V. Aho(2), Richard M. Karp(2), Rajeev Motwani(2), Jacob T. Schwartz(2), Micha Sharir(2), Yixuan Li(2), Jin Kue Wong(2), Omar Shahbaz Khan(2), Brian Kulis(2), Bart Selman(2), Jiadong Lin(2), Tiancheng Lou(2), Jie Tang(2), Sucheta Soundarajan(2), Steven Fortune(1), James Wyllie(1)