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Yaochu Jin — most-cited papers & profile · Graph Learning
← authors
·
overview
Yaochu Jin
14
papers ·
27
citations ·
118
h-index
Westlake University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
2023 · 25 citations
Pruning Federated Models through Loss Landscape Analysis and Client Agreement Scoring
2024 · 2 citations
STRONG-VLA: Decoupled Robustness Learning for Vision-Language-Action Models under Multimodal Perturbations
2026
Biomechanical Comparisons Reveal Divergence of Human and Humanoid Gaits
2026
Overlooked Safety Vulnerability in LLMs: Malicious Intelligent Optimization Algorithm Request and its Jailbreak
2026
Overlooked Safety Vulnerability in LLMs: Malicious Intelligent Optimization Algorithm Request and its Jailbreak
2026
When Alignment Fails: Multimodal Adversarial Attacks on Vision-Language-Action Models
2025
Enhancing the Effectiveness and Durability of Backdoor Attacks in Federated Learning through Maximizing Task Distinction
2025
ULC: A Unified and Fine-Grained Controller for Humanoid Loco-Manipulation
2025
Federated Loss Exploration for Improved Convergence on Non-IID Data
2025
Genetic Programming with Reinforcement Learning Trained Transformer for Real-World Dynamic Scheduling Problems
2025
Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning
2025
Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation
2019
Ternary Compression for Communication-Efficient Federated Learning
2020
Topics
Federated Learning
Optimization
Privacy
Control
Security
Data Heterogeneity
Communication
Manipulation
Perception
Human-Robot Interaction