Zibin Zheng

24 papers · 2018–2026 · 7 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (6)

🗺️ Taxonomy Completionist (43) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏆 Grand Slam 🚀 Conference Pioneer ⚡ Prolific Year (5) 🗃️ Keyword Collector (98) 💎 Century Club (21)

Conferences

AAAI (7) IJCAI (6) ICML (3) NIPS (3) ACL (2) ICLR (2) CVPR (1)

Top co-authors

Chuan Chen (8) Liang Chen (7) Jintang Li (5) Weibin Wu (4) Ruofan Wu (3) Lele Fu (3) Yang Liu (2) Huizhe Zhang (2) Zhen Wang (2) Jialong Chen (2)

Keywords

adversarial attack (4) multi-task learning (3) large language model (2) representation learning (2) federated learning (2) temporal graph (2) transfer learning (1) graph theory (1) variational inference (1) graph clustering (1) dynamic routing (1) laplacian regularization (1) code completion (1) collaborative filtering (1) text classification (1) semantic representation (1) knowledge distillation (1) ensemble learning (1) graph representation learning (1) self-supervised learning (1)

Papers

From Logical to Computational Sparsity: Structure-Aware Block-Sparse Attention for Long-Code Completion ACL 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 Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off ICML 2025 Measuring Diversity in Synthetic Datasets ICML 2025 Federated Domain Generalization with Decision Insight Matrix IJCAI 2025 Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework AAAI 2025 Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective ICLR 2025 Self-Para-Consistency: Improving Reasoning Tasks at Low Cost for Large Language Models ACL 2024 Improving Transferable Targeted Adversarial Attacks with Model Self-Enhancement CVPR 2024 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 NIPS 2024 State Space Models on Temporal Graphs: A First-Principles Study NIPS 2024 Blurred-Dilated Method for Adversarial Attacks NIPS 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 Tensor Decomposition for Multilayer Networks Clustering AAAI 2019 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 Variational Graph Embedding and Clustering with Laplacian Eigenmaps IJCAI 2019 Learning Semantic Representations for Unsupervised Domain Adaptation ICML 2018