Zibin Zheng
27 papers · 2018–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (55) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Renaissance Researcher
(5)
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Conference Pioneer
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Century Club Β· Bronze
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Keyword Collector
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Top co-authors
Research topics
Machine Learning
(20)
Deep Learning
(16)
Core Methods
(11)
Artificial Intelligence
(10)
Core AI
(8)
Architectures
(7)
Optimization & Theory
(6)
Application Areas
(5)
Learning Types Β· Deep Learning
(5)
Learning Types Β· Machine Learning
(5)
Models
(4)
Computer Vision
(3)
Natural Language Processing
(3)
Learning Paradigms
(3)
Resources & Methods
(3)
Keywords
adversarial attack
(4)
multi-task learning
(3)
large language model
(3)
graph neural network
(3)
federated learning
(3)
temporal graph
(2)
representation learning
(2)
spiking neural network
(2)
self-supervised learning
(2)
variational inference
(1)
graph theory
(1)
graph clustering
(1)
laplacian regularization
(1)
code completion
(1)
differential privacy
(1)
text classification
(1)
semantic representation
(1)
ensemble learning
(1)
knowledge distillation
(1)
graph representation learning
(1)
Papers
From Logical to Computational Sparsity: Structure-Aware Block-Sparse Attention for Long-Code Completion
ACL 2026
Guiding Diffusion Models with Fine-Grained Conditions and Semantics-Preserving Sampling for One-Shot Federated Learning
CVPR 2026
Kairox: Adaptive GPU-CPU Hybrid LLM Inference via Online Neuron Balancing
OSDI 2026
MIRNet: Integrating Constrained Graph-Based Reasoning with Pre-training for Diagnostic Medical Imaging
AAAI 2026
QRShield: Exploiting Vulnerabilities of Latent Diffusion Models for Preventing AI Art Plagiarism
AAAI 2026
Ref4D-VideoBench: Four-Dimensional Reference-Based Evaluation of Text-to-Video Generative Models
CVPR 2026
Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off
ICML 2025
Federated Domain Generalization with Decision Insight Matrix
IJCAI 2025
Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective
ICLR 2025
Measuring Diversity in Synthetic Datasets
ICML 2025
Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework
AAAI 2025
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
ICLR 2024
A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm
NeurIPS 2024
Improving Transferable Targeted Adversarial Attacks with Model Self-Enhancement
CVPR 2024
Self-Para-Consistency: Improving Reasoning Tasks at Low Cost for Large Language Models
ACL 2024
State Space Models on Temporal Graphs: A First-Principles Study
NeurIPS 2024
Blurred-Dilated Method for Adversarial Attacks
NeurIPS 2023
CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning
AAAI 2023
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
AAAI 2023
Understanding Structural Vulnerability in Graph Convolutional Networks
IJCAI 2021
Phishing Scam Detection on Ethereum: Towards Financial Security for Blockchain Ecosystem
IJCAI 2020
Towards Better Forecasting by Fusing Near and Distant Future Visions
AAAI 2020
Dynamically Route Hierarchical Structure Representation to Attentive Capsule for Text Classification
IJCAI 2019
Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network
IJCAI 2019
Tensor Decomposition for Multilayer Networks Clustering
AAAI 2019
Variational Graph Embedding and Clustering with Laplacian Eigenmaps
IJCAI 2019
Learning Semantic Representations for Unsupervised Domain Adaptation
ICML 2018