Bao Wang
18 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (6) π Cross-Pollinator (13)
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Cross-Pollinator
(13)
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Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(25)
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Grand Slam
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Triple Crown
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Century Club
(18)
ποΈ
Keyword Collector
(74)
π₯
Unstoppable
(8)
Conferences
NIPS (6)
ICML (5)
ICLR (4)
AAAI (1)
AISTATS (1)
CVPR (1)
Top co-authors
Keywords
stochastic gradient descent
(3)
deep neural network
(2)
monotone operator
(2)
nonconvex optimization
(2)
decentralized optimization
(2)
graph neural network
(2)
temporal difference learning
(1)
robust optimization
(1)
image classification
(1)
ensemble learning
(1)
function approximation
(1)
attention mechanism
(1)
convergence analysis
(1)
adaptive learning
(1)
manifold learning
(1)
adversarial learning
(1)
stability analysis
(1)
feature representation
(1)
optimal control
(1)
deep learning
(1)
Papers
Investigating the Role of Weight Decay in Enhancing Nonconvex SGD
CVPR 2025
A Theoretically-Principled Sparse, Connected, and Rigid Graph Representation of Molecules
ICLR 2025
Improving Flow Matching by Aligning Flow Divergence
ICML 2025
Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks
ICLR 2024
Efficient Score Matching with Deep Equilibrium Layers
ICLR 2024
An Explicit Frame Construction for Normalizing 3D Point Clouds
ICML 2024
Monotone Operator Theory-Inspired Message Passing for Learning Long-Range Interaction on Graphs
AISTATS 2024
Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions
ICML 2023
Implicit Graph Neural Networks: A Monotone Operator Viewpoint
ICML 2023
GRAND++: Graph Neural Diffusion with A Source Term
ICLR 2022
Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks
NIPS 2022
Adaptive Random Walk Gradient Descent for Decentralized Optimization
ICML 2022
Stability and Generalization of Decentralized Stochastic Gradient Descent
AAAI 2021
FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention
NIPS 2021
Heavy Ball Neural Ordinary Differential Equations
NIPS 2021
MomentumRNN: Integrating Momentum into Recurrent Neural Networks
NIPS 2020
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies
NIPS 2019
Deep Neural Nets with Interpolating Function as Output Activation
NIPS 2018