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 Kai Zhang, Jun Wang, Ping Li
8 papers
· 2019–2026
· EMNLP, ICML, ACL
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Localized Low-Rank Adaptation within Clustered Parameter Subspaces
ACL 2026
High-Order Contrastive Learning with Fine-grained Comparative Levels for Sparse Ordinal Tensor Completion
ICML 2024
Message Passing on Semantic-Anchor-Graphs for Fine-grained Emotion Representation Learning and Classification
EMNLP 2024
Structural Landmarking and Interaction Modelling: A “SLIM” Network for Graph Classification
AAAI 2022
Adaptive Structural Fingerprints for Graph Attention Networks
ICLR 2020
Cascaded Semantic and Positional Self-Attention Network for Document Classification
EMNLP 2020
Diversify Question Generation with Continuous Content Selectors and Question Type Modeling
EMNLP 2020
Greedy Orthogonal Pivoting Algorithm for Non-Negative Matrix Factorization
ICML 2019
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