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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 Zhiguang Cao, Wen Song, Yaoxin Wu 19 papers · 2013–2024 · NeurIPS, ICLR, AAAI Hide ▲
Collaboration! Towards Robust Neural Methods for Routing Problems NeurIPS 2024 Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling ICLR 2024 Learning to Handle Complex Constraints for Vehicle Routing Problems NeurIPS 2024 MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts ICML 2024 SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning ICLR 2024 Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift NeurIPS 2023 Multi-view graph contrastive learning for solving vehicle routing problems UAI 2023 Towards Omni-generalizable Neural Methods for Vehicle Routing Problems ICML 2023 Graph Learning Assisted Multi-Objective Integer Programming NeurIPS 2022 Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs ICLR 2022 Learning to Solve Routing Problems via Distributionally Robust Optimization AAAI 2022 Learning Large Neighborhood Search Policy for Integer Programming NeurIPS 2021 Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems AAAI 2021 NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem NeurIPS 2021 AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism AAAI 2020 Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning NeurIPS 2020 ATSIS: Achieving the Ad hoc Teamwork by Sub-task Inference and Selection IJCAI 2019 Secure Routing in Wireless Sensor Networks via POMDPs IJCAI 2015 A Framework to Choose Trust Models for Different E-Marketplace Environments IJCAI 2013
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