Jie Zhang
227 papers · 2004–2026 · 20 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 60 separate collaboration groups - the largest holds only 19% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Jie Zhang?
21 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Weiming Zhang, Nenghai Yu, Zhu Sun
44 papers
· 2004–2026
· AAAI, IJCAI, ACL
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MAGIC: Mastering Physical Adversarial Generation in Context Through Collaborative LLM Agents
AAAI 2026
Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation
ACL 2026
Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation
AAAI 2025
An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems
AAAI 2025
Cowpox: Towards the Immunity of VLM-based Multi-Agent Systems
ICML 2025
EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers
ICML 2025
On the Vulnerability of Text Sanitization
NAACL 2025
Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation
AAAI 2025
SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments
CVPR 2025
VideoShield: Regulating Diffusion-based Video Generation Models via Watermarking
ICLR 2025
ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users
NeurIPS 2024
AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA
ICML 2024
Data-Free Hard-Label Robustness Stealing Attack
AAAI 2024
Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks
AAAI 2024
Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models
AAAI 2024
Robust-Wide: Robust Watermarking against Instruction-driven Image Editing
ECCV 2024
SAME: Sample Reconstruction against Model Extraction Attacks
AAAI 2024
Transferable Facial Privacy Protection against Blind Face Restoration via Domain-Consistent Adversarial Obfuscation
ICML 2024
A Black-Box Attack on Code Models via Representation Nearest Neighbor Search
EMNLP 2023
AutoStegaFont: Synthesizing Vector Fonts for Hiding Information in Documents
AAAI 2023
DeAR: A Deep-Learning-Based Audio Re-recording Resilient Watermarking
AAAI 2023
Learning Sparse Group Models Through Boolean Relaxation
ICLR 2023
Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network
AAAI 2023
Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences
IJCAI 2022
Tracing Text Provenance via Context-Aware Lexical Substitution
AAAI 2022
Initiative Defense against Facial Manipulation
AAAI 2021
Transfer Learning via Optimal Transportation for Integrative Cancer Patient Stratification
IJCAI 2021
A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario
AAAI 2020
An Attentional Recurrent Neural Network for Personalized Next Location Recommendation
AAAI 2020
An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins
IJCAI 2020
Model Watermarking for Image Processing Networks
AAAI 2020
Passport-aware Normalization for Deep Model Protection
NeurIPS 2020
General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits
AAAI 2019
A Novel Strategy for Active Task Assignment in Crowd Labeling
IJCAI 2018
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing
NeurIPS 2018
MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation
IJCAI 2017
Online Reputation Fraud Campaign Detection in User Ratings
IJCAI 2017
Optimal Posted-Price Mechanism in Microtask Crowdsourcing
IJCAI 2017
Improving Sybil Detection via Graph Pruning and Regularization Techniques
ACML 2015
Quantifying Robustness of Trust Systems against Collusive Unfair Rating Attacks Using Information Theory
IJCAI 2015
A Composite Kernel to Extract Relations between Entities with Both Flat and Structured Features
ACL 2006
Exploring Syntactic Features for Relation Extraction using a Convolution Tree Kernel
NAACL 2006
Exploring Various Knowledge in Relation Extraction
ACL 2005
Multi-Criteria-based Active Learning for Named Entity Recognition
ACL 2004
39 papers whose co-authors appear nowhere else under this name
Anti-Avatar: Protect Against Unauthorized 3D Head Avatar Generation via Dual-Space Divergence
AAAI 2026
Steering Representations, Safeguarding Privacy: A Cross-Modal Privacy Protection Method for Generative AI
AAAI 2026
SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache
AAAI 2026
TAdaRAG: Task Adaptive Retrieval-Augmented Generation via On-the-Fly Knowledge Graph Construction
AAAI 2026
TransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models
AAAI 2026
AVF-MAE++: Scaling Affective Video Facial Masked Autoencoders via Efficient Audio-Visual Self-Supervised Learning
CVPR 2025
Does Training with Synthetic Data Truly Protect Privacy?
ICLR 2025
EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning
ICML 2025
Efficient Long Context Fine-tuning with Chunk Flow
ICML 2025
Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models
NAACL 2025
MERGE: Multi-faceted Hierarchical Graph-based GNN for Gene Expression Prediction from Whole Slide Histopathology Images
CVPR 2025
Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary
AAAI 2025
Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification
AAAI 2025
RepFace: Refining Closed-Set Noise with Progressive Label Correction for Face Recognition
AAAI 2025
Textual Unlearning Gives a False Sense of Unlearning
ICML 2025
An Optimal Transport View for Subspace Clustering and Spectral Clustering
AAAI 2024
Cardiac Physiology Knowledge-driven Diffusion Model for Contrast-free Synthesis Myocardial Infarction Enhancement
MICCAI 2024
Contextual Affinity Distillation for Image Anomaly Detection
WACV 2024
DiffClass: Diffusion-Based Class Incremental Learning
ECCV 2024
Multi-granularity Correspondence Learning from Long-term Noisy Videos
ICLR 2024
SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning
ACL 2024
Understanding Routable PCIe Performance for Composable Infrastructures
NSDI 2024
Active Sampling for Min-Max Fairness
ICML 2022
Leveraging Automated Unit Tests for Unsupervised Code Translation
ICLR 2022
Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract)
AAAI 2021
A Speech-to-Knowledge-Graph Construction System
IJCAI 2020
COBRA: Context-Aware Bernoulli Neural Networks for Reputation Assessment
AAAI 2020
Data Augmentation for Multiclass Utterance Classification – A Systematic Study
COLING 2020
Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach
IJCAI 2020
Multi-Robot Adversarial Patrolling Strategies via Lattice Paths
IJCAI 2020
Average-case Analysis of the Assignment Problem with Independent Preferences
IJCAI 2019
Algorithms for Fair Load Shedding in Developing Countries
IJCAI 2018
FlashShare: Punching Through Server Storage Stack from Kernel to Firmware for Ultra-Low Latency SSDs
OSDI 2018
Geometric Constrained Joint Lane Segmentation and Lane Boundary Detection
ECCV 2018
A Trust-based Mixture of Gaussian Processes Model for Reliable Regression in Participatory Sensing
IJCAI 2017
A Distributed and Scalable Machine Learning Approach for Big Data
IJCAI 2016
Detecting Accounting Frauds in Publicly Traded U.S. Firms: A Machine Learning Approach
ACML 2015
A Novel Bayesian Similarity Measure for Recommender Systems
IJCAI 2013
Externalities in Cake Cutting
IJCAI 2013