Shanda Li
10 papers · 2021–2026 · 5 venues · across top CS/AI venues
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Achievements
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Machine Learning
(8)
Deep Learning
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Artificial Intelligence
(5)
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Optimization & Theory Β· Machine Learning
(5)
Core AI
(4)
Application Areas
(2)
Core Methods
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Optimization & Theory Β· Deep Learning
(2)
Techniques
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Natural Language Processing
(1)
Generation
(1)
Learning Paradigms
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Learning Types
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Models
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Keywords
relative positional encoding
(3)
transformer architecture
(3)
language modeling
(2)
physics-informed neural network
(2)
partial differential equation
(2)
attention mechanism
(2)
adversarial training
(1)
universal approximation
(1)
function approximation
(1)
fourier transform
(1)
variance reduction
(1)
majority voting
(1)
tree search
(1)
molecular design
(1)
neural network optimization
(1)
positional encoding
(1)
scaling law
(1)
loss function
(1)
hyperparameter transfer
(1)
flow matching
(1)
Papers
CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization
AAAI 2026
Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for LLM Problem-Solving
ICLR 2025
Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators
ICML 2025
TFG-Flow: Training-free Guidance in Multimodal Generative Flow
ICLR 2025
Functional Interpolation for Relative Positions improves Long Context Transformers
ICLR 2024
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers
AISTATS 2024
Learning Physics-Informed Neural Networks without Stacked Back-propagation
AISTATS 2023
Is L^2 Physics Informed Loss Always Suitable for Training Physics Informed Neural Network?
NeurIPS 2022
Your Transformer May Not be as Powerful as You Expect
NeurIPS 2022
Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding
NeurIPS 2021