Haibo Yang
16 papers · 2021–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π Cross-Pollinator (11) π Interdisciplinary Bridge π§ Keyword Pioneer π Renaissance Researcher (5)
π
Renaissance Researcher
(5)
π
Grand Slam
π
Triple Crown
π€
Dynamic Duo
(11)
π₯
Unstoppable
(5)
π
Century Club
(16)
β‘
Prolific Year
(5)
Conferences
NIPS (4)
ICLR (3)
ICML (3)
AAAI (1)
CVPR (1)
ECCV (1)
IJCAI (1)
MICCAI (1)
UAI (1)
Top co-authors
Keywords
federated learning
(6)
convergence analysis
(4)
stochastic optimization
(3)
multi-objective optimization
(2)
convergence rate
(2)
multi-task learning
(2)
communication complexity
(2)
distributed learning
(2)
distributed optimization
(2)
gradient descent
(2)
neural radiance field
(1)
text-to-3d generation
(1)
score distillation sampling
(1)
momentum method
(1)
visual prompt
(1)
min-max optimization
(1)
gradient descent ascent
(1)
worker heterogeneity
(1)
snapshot mechanism
(1)
linear speedup
(1)
Papers
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
ICLR 2025
FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning
IJCAI 2025
STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning
UAI 2025
DisDiff: Disentanglement Diffusion Network for MR Imaging Translation
MICCAI 2025
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization
AAAI 2025
VP3D: Unleashing 2D Visual Prompt for Text-to-3D Generation
CVPR 2024
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation
ICML 2024
Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning
ICML 2024
DreamMesh: Jointly Manipulating and Texturing Triangle Meshes for Text-to-3D Generation
ECCV 2024
Federated Multi-Objective Learning
NIPS 2023
Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach
ICLR 2022
SAGDA: Achieving $\mathcal{O}(\epsilon^{-2})$ Communication Complexity in Federated Min-Max Learning
NIPS 2022
Taming Fat-Tailed (βHeavier-Tailedβ with Potentially Infinite Variance) Noise in Federated Learning
NIPS 2022
Anarchic Federated Learning
ICML 2022
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning
NIPS 2021
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning
ICLR 2021