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
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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