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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 Song Guo, Xiaosong Ma, Jingcai Guo 34 papers · 2021–2026 · CVPR, ICLR, ICML Hide ▲
LazyEviction: Lagged KV Eviction with Attention Pattern Observation for Efficient Long Reasoning ACL 2026 Recover to Predict: Progressive Retrospective Learning for Variable-Length Trajectory Prediction CVPR 2026 STCast: Adaptive Boundary Alignment for Global and Regional Weather Forecasting CVPR 2026 Think How to Think: Mitigating Overthinking with Autonomous Difficulty Cognition in Large Reasoning Models ACL 2026 Causally Motivated Sycophancy Mitigation for Large Language Models ICLR 2025 Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View ICLR 2025 Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection AAAI 2025 VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting ICCV 2025 Video-Bench: Human-Aligned Video Generation Benchmark CVPR 2025 Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models ICML 2024 Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization ICML 2024 Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators AAAI 2024 DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning CVPR 2024 Dual Expert Distillation Network for Generalized Zero-Shot Learning IJCAI 2024 Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring ICML 2024 Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients ICLR 2024 MetaUNETR: Rethinking Token Mixer Encoding for Efficient Multi-Organ Segmentation MICCAI 2024 On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks AAAI 2024 ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning IJCAI 2024 Real-Fake: Effective Training Data Synthesis Through Distribution Matching ICLR 2024 Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing NeurIPS 2024 Accelerating Dataset Distillation via Model Augmentation CVPR 2023 Delving into the Adversarial Robustness of Federated Learning AAAI 2023 IDEAL: Query-Efficient Data-Free Learning from Black-Box Models ICLR 2023 Rethinking Data Distillation: Do Not Overlook Calibration ICCV 2023 SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models NeurIPS 2023 TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation ICCV 2023 Towards Unbiased Training in Federated Open-world Semi-supervised Learning ICML 2023 DENSE: Data-Free One-Shot Federated Learning NeurIPS 2022 Federated Learning with Label Distribution Skew via Logits Calibration ICML 2022 Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning NeurIPS 2022 Layer-Wised Model Aggregation for Personalized Federated Learning CVPR 2022 Towards Efficient Data Free Black-Box Adversarial Attack CVPR 2022 Parameterized Knowledge Transfer for Personalized Federated Learning NeurIPS 2021
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

Venues · all papers under this name

AAAI (48) IJCAI (29) CVPR (21) ICML (18) NeurIPS (18) Interspeech (17) ICLR (16) ACL (16) EMNLP (6) ICCV (6) ECCV (5) NAACL (5) COLING (4) MICCAI (4) OSDI (4) WACV (3) NSDI (2) UAI (2) ACML (2) SemEval (1)