Jie Zhang

58

Papers

353

Total Citations

Papers (58)

Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks

EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers

Real-Fake: Effective Training Data Synthesis Through Distribution Matching

Multi-granularity Correspondence Learning from Long-term Noisy Videos

Frequency-Adaptive Pan-Sharpening with Mixture of Experts

REEF: Representation Encoding Fingerprints for Large Language Models

Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation

Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators

Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain

SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments

Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients

Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation

On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks

Data-Free Hard-Label Robustness Stealing Attack

An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems

Cost Minimization for Equilibrium Transition

Efficient Long Context Fine-tuning with Chunk Flow

Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification

RepFace: Refining Closed-Set Noise with Progressive Label Correction for Face Recognition

Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary

Quantum-Inspired Spectral-Spatial Pyramid Network for Hyperspectral Image Classification

Leveraging Datasets With Varying Annotations for Face Alignment via Deep Regression Network

Meta Gradient Adversarial Attack

TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation

Rethinking Data Distillation: Do Not Overlook Calibration

Pyramid Dual Domain Injection Network for Pan-sharpening

Adaptive Image Transformations for Transfer-Based Adversarial Attack

Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation

MERGE: Multi-faceted Hierarchical Graph-based GNN for Gene Expression Prediction from Whole Slide Histopathology Images

Video-Bench: Human-Aligned Video Generation Benchmark

AVF-MAE++: Scaling Affective Video Facial Masked Autoencoders via Efficient Audio-Visual Self-Supervised Learning

Face Forgery Video Detection via Temporal Forgery Cue Unraveling

Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection

CSSinger: End-to-End Chunkwise Streaming Singing Voice Synthesis System Based on Conditional Variational Autoencoder

Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness

Video Harmonization with Triplet Spatio-Temporal Variation Patterns

MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts

High-Order Contrastive Learning with Fine-grained Comparative Levels for Sparse Ordinal Tensor Completion

AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA

Transferable Facial Privacy Protection against Blind Face Restoration via Domain-Consistent Adversarial Obfuscation

Occlusion-Free Face Alignment: Deep Regression Networks Coupled With De-Corrupt AutoEncoders

Single-Side Domain Generalization for Face Anti-Spoofing

Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation

Layer-Wised Model Aggregation for Personalized Federated Learning

Enhancing Face Recognition With Self-Supervised 3D Reconstruction

Towards Efficient Data Free Black-Box Adversarial Attack

Accelerating Dataset Distillation via Model Augmentation

Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing

Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning

Graph Random Neural Networks for Semi-Supervised Learning on Graphs

Passport-aware Normalization for Deep Model Protection

NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem

Parameterized Knowledge Transfer for Personalized Federated Learning

Learning Large Neighborhood Search Policy for Integer Programming

Graph Learning Assisted Multi-Objective Integer Programming

DENSE: Data-Free One-Shot Federated Learning

Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift

Greedy Orthogonal Pivoting Algorithm for Non-Negative Matrix Factorization