Shanda Li
10 papers · 2021–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (4) π§ Keyword Pioneer π Conference Polyglot (4) π Interdisciplinary Bridge π Academic Marathon (5)
π
Academic Marathon
(5)
πΊοΈ
Taxonomy Completionist
(14)
π
Grand Slam
π₯
Unstoppable
(5)
β
The Questioner
π
Century Club
(10)
Conferences
ICLR (3)
NIPS (3)
AISTATS (2)
AAAI (1)
ICML (1)
Top co-authors
Keywords
relative positional encoding
(3)
transformer architecture
(3)
physics-informed neural network
(2)
partial differential equation
(2)
attention mechanism
(2)
neural network optimization
(1)
fourier transform
(1)
variance reduction
(1)
loss function
(1)
positional encoding
(1)
fast fourier transform
(1)
linear transformer
(1)
linear attention
(1)
spectral representation
(1)
local relative positional encoding
(1)
geometric datum
(1)
gaussian smoothing
(1)
hamilton-jacobi-bellman equation
(1)
large language model
(1)
agentic framework
(1)
Papers
CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization
AAAI 2026
TFG-Flow: Training-free Guidance in Multimodal Generative Flow
ICLR 2025
Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators
ICML 2025
Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for LLM Problem-Solving
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?
NIPS 2022
Your Transformer May Not be as Powerful as You Expect
NIPS 2022
Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding
NIPS 2021