Zhen Wang
138 papers · 2014–2026 · 15 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 37 separate collaboration groups - the largest holds only 30% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Zhen Wang?
17 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 Liang Yang, Chuan Wang, Di Jin
17 papers
· 2022–2026
· AAAI, NeurIPS, ICML
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Source-Free Graph Foundation Model Adaptation via Pseudo-Source Reconstruction
AAAI 2026
Backdoor Attack on Propagation-based Rumor Detectors
AAAI 2025
DUALFormer: Dual Graph Transformer
ICLR 2025
Disentangled Graph Spectral Domain Adaptation
ICML 2025
Do We Really Need Message Passing in Brain Network Modeling?
ICML 2025
Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling
AAAI 2025
Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks
IJCAI 2025
Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology
AAAI 2025
Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems
IJCAI 2025
Universal Graph Self-Contrastive Learning
IJCAI 2025
Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering
NeurIPS 2024
Improving Graph Contrastive Learning via Adaptive Positive Sampling
CVPR 2024
Unified Graph Augmentations for Generalized Contrastive Learning on Graphs
NeurIPS 2024
Contrastive Learning Meets Homophily: Two Birds with One Stone
ICML 2023
Local-Global Defense against Unsupervised Adversarial Attacks on Graphs
AAAI 2023
Self-supervised Graph Neural Networks via Low-Rank Decomposition
NeurIPS 2023
OPEN: Orthogonal Propagation with Ego-Network Modeling
NeurIPS 2022
20 papers whose co-authors appear nowhere else under this name
Adapting a Pre-trained Single-Cell Foundation Model to Spatial Gene Expression Generation from Histology Images
CVPR 2026
Fine-Grained Generalization via Structuralizing Concept and Feature Space into Commonality, Specificity and Confounding
AAAI 2026
MoEA-Net: Modality-Incremental Expert Aggregation Network for Retinal Prognostic Prediction
AAAI 2026
PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts
ACL 2025
Style Nursing with Spatial and Semantic Guidance for Zero-Shot Traffic Scene Style Transfer
AAAI 2025
Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling
ICLR 2024
Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE
ICLR 2024
MAT: Mixed-Strategy Game of Adversarial Training in Fine-tuning
IJCAI 2023
D4: a Chinese Dialogue Dataset for Depression-Diagnosis-Oriented Chat
EMNLP 2022
Understanding the Dynamics of DNNs Using Graph Modularity
ECCV 2022
EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation
AAAI 2021
MedAI at SemEval-2021 Task 5: Start-to-end Tagging Framework for Toxic Spans Detection
SemEval 2021
Diversify Question Generation with Continuous Content Selectors and Question Type Modeling
EMNLP 2020
Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection
IJCAI 2020
Training Noise-Robust Deep Neural Networks via Meta-Learning
CVPR 2020
Fisher-Bures Adversary Graph Convolutional Networks
UAI 2019
Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension
ACL 2018
Least Squares Generative Adversarial Networks
ICCV 2017
Optimal Escape Interdiction on Transportation Networks
IJCAI 2017
Chinese Semantic Role Labeling with Bidirectional Recurrent Neural Networks
EMNLP 2015