John Hopcroft Lab at HUST

NAGphormer. NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs

IBCLN. Single Image Reflection Removal through Cascaded Refinement, CVPR 2020

VT. Enhancing the Transferability of Adversarial Attacks through Variance Tuning

PWWS. Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency

SI-NI-FGSM. Python

VSR-LKH. Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem

TITer. Python

Admix. Python

ATDA. Improving the Generalization of Adversarial Training with Domain Adaptation

VSR-LKH-V2. Reinforced Lin-Kernighan-Helsgaun Algorithms for the Traveling Salesman Problem and its Variants

MCDformer. Multi-channel Convolutional Distilled Transformer for Automatic Modulation Classification

FGPM. Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text Attacks

SVRE. Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability

GHT. Graph Hawkes Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs

LMSPS. Long-range Meta-path Search through Progressive Sampling on Large-scale Heterogeneous Information Networks

CircularKernel. Integrating Large Circular Kernels into CNNs through Neural Architecture Search

EMI. Boosting Transferability through Enhanced Momentum

HiCode. Hidden Community Detection in Social Networks

RLFAT. Python

BandMaxSAT. BandMaxSAT: Multi-armed Bandit for the Local Search MaxSAT Solver

AdvNMT-WSLS. Crafting Adversarial Examples for Neural Machine Translation

GCFormer. Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers

TextHacker. TextHacker: Learning based Hybrid Local Search Algorithm for Hard-label Text Adversarial Attack

PMMM. Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks

BandHS. BandMaxSAT: A Local Search MaxSAT Solver with Multi-armed Bandit

LOSP. Detecting Overlapping Communities from Local Spectral Subspaces

SEM. Python

McSplit-RL. A Learning based Branch and Bound for Maximum Common Subgraph related Problems

FPS. C++

TraSA. TraSw: Tracklet-Switch Adversarial Attacks against Multi-Object Tracking

SPB-MaxSAT. Rethinking the Soft Conflict Pseudo Boolean Constraint on MaxSAT Local Search Solvers

FTML. Robust Textual Embedding against Word-level Adversarial Attacks

RGB. Relaxed Graph Color Bound for the Maximum $k$-plex Problem

SparseMA. Sparse Black-Box Multimodal Attack for Vision-Language Adversary Generation

McSplit-LL. A Strengthened Branch and Bound Algorithm for Maximum Common Subgraph Problems

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

RSV. Detecting Textual Adversarial Examples through Randomized Substitution and Vote

SwapGT. Rethinking Tokenized Graph Transformers for Node Classification

IMAformer. Intra-task Mutual Attention based Vision Transformer for Few-Shot Learning

KD-Club. KD-Club: An Efficient Exact Algorithm with New Coloring-based Upper Bound for the Maximum k-Defective Clique Problem

IMGS. Image Mixing and Gradient Smoothing to Enhance the SAR Image Attack Transferability

EIBC-IBP. Robustness-Aware Word Embedding Improves Certified Robustness to Adversarial Word Substitutions

LOMA. Local Magnification for Data and Feature Augmentation

VDLS. Effective Variable Depth Local Search for the Budgeted Maximum Coverage Problem

CircleConvNet.

AdaWaveClustering. Adaptive Wavelet Clustering for High Noise Data

ASA-GS. C++

LOSP_Plus. MATLAB

LHLS. Learning-based Hybrid Local Search for the Hard-label Textual Attack

jhl-hust.github.io. Source code for HCCS-HUST website

LLSA. MATLAB