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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 Hide ▲
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