Haibo Yang
16 papers · 2021–2025 · 9 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (23) 🤝 Dynamic Duo (11)
🏆
Grand Slam
🤝
Dynamic Duo
(11)
⚡
Prolific Year · Productive
💎
Century Club · Bronze
🗃️
Keyword Collector
(58)
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory
(9)
Artificial Intelligence
(8)
Learning Paradigms · Artificial Intelligence
(7)
Mathematics & Optimization
(5)
Optimization
(5)
Learning Paradigms · Machine Learning
(4)
Deep Learning
(3)
Learning Types · Deep Learning
(2)
Learning Types · Machine Learning
(2)
Computer Vision
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Applications
(1)
Core AI
(1)
Keywords
federated learning
(9)
convergence analysis
(5)
sample complexity
(3)
distributed optimization
(3)
convergence rate
(3)
multi-objective optimization
(3)
stochastic optimization
(3)
gradient descent
(2)
multi-task learning
(2)
linear speedup
(2)
communication complexity
(2)
communication efficiency
(2)
momentum method
(2)
distributed learning
(2)
convergence
(1)
kernel approximation
(1)
computational complexity
(1)
non-convex optimization
(1)
data heterogeneity
(1)
diffusion model
(1)
Papers
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
ICLR 2025
DisDiff: Disentanglement Diffusion Network for MR Imaging Translation
MICCAI 2025
FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning
IJCAI 2025
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization
AAAI 2025
STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning
UAI 2025
DreamMesh: Jointly Manipulating and Texturing Triangle Meshes for Text-to-3D Generation
ECCV 2024
Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning
ICML 2024
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation
ICML 2024
VP3D: Unleashing 2D Visual Prompt for Text-to-3D Generation
CVPR 2024
Federated Multi-Objective Learning
NeurIPS 2023
Anarchic Federated Learning
ICML 2022
Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach
ICLR 2022
SAGDA: Achieving O(ε^-2) Communication Complexity in Federated Min-Max Learning
NeurIPS 2022
Taming Fat-Tailed (“Heavier-Tailed” with Potentially Infinite Variance) Noise in Federated Learning
NeurIPS 2022
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning
ICLR 2021
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning
NeurIPS 2021