Shuxin Zheng
15 papers · 2017–2024 · 6 venues · across top CS/AI venues
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Achievements
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(12)
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(2)
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Deep Learning
(13)
Machine Learning
(9)
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(9)
Optimization & Theory Β· Machine Learning
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(4)
Optimization & Theory Β· Deep Learning
(4)
Artificial Intelligence
(3)
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(2)
Core AI Β· Artificial Intelligence
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Computer Vision
(1)
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Core AI Β· Computer Vision
(1)
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(1)
Keywords
transformer architecture
(4)
attention mechanism
(2)
relative positional encoding
(2)
neural network optimization
(2)
relu neural network
(2)
self-attention mechanism
(1)
mean field theory
(1)
representation learning
(1)
batch normalization
(1)
generalization error
(1)
multimodal learning
(1)
universal approximation
(1)
distributed learning
(1)
transformer
(1)
stochastic gradient descent
(1)
gradient boosting
(1)
efficient computing
(1)
object detection
(1)
geometric deep learning
(1)
function approximation
(1)
Papers
Bridging Geometric States via Geometric Diffusion Bridge
NeurIPS 2024
GeoMFormer: A General Architecture for Geometric Molecular Representation Learning
ICML 2024
Molecule Generation For Target Protein Binding with Structural Motifs
ICLR 2023
One Transformer Can Understand Both 2D & 3D Molecular Data
ICLR 2023
Quantized Training of Gradient Boosting Decision Trees
NeurIPS 2022
Your Transformer May Not be as Powerful as You Expect
NeurIPS 2022
Cross-Iteration Batch Normalization
CVPR 2021
Do Transformers Really Perform Badly for Graph Representation?
NeurIPS 2021
How could Neural Networks understand Programs?
ICML 2021
Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding
NeurIPS 2021
Invertible Image Rescaling
ECCV 2020
On Layer Normalization in the Transformer Architecture
ICML 2020
Capacity Control of ReLU Neural Networks by Basis-Path Norm
AAAI 2019
G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space
ICLR 2019
Asynchronous Stochastic Gradient Descent with Delay Compensation
ICML 2017