Shanda Li

According to our database, Shanda Li authored at least 19 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Towards Community-Driven Agents for Machine Learning Engineering.

Sijie Li, Weiwei Sun, Shanda Li, Ameet Talwalkar, Yiming Yang

CoRR, June, 2025

Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators.

Shanda Li, Shinjae Yoo, Yiming Yang

CoRR, June, 2025

Sample Complexity and Representation Ability of Test-time Scaling Paradigms.

Baihe Huang, Shanda Li, Tianhao Wu, Yiming Yang, Ameet Talwalkar, Kannan Ramchandran, Michael I. Jordan, Jiantao Jiao

CoRR, June, 2025

A Comprehensive Evaluation of Contemporary ML-Based Solvers for Combinatorial Optimization.

Shengyu Feng, Weiwei Sun, Shanda Li, Ameet Talwalkar, Yiming Yang

CoRR, May, 2025

CodePDE: An Inference Framework for LLM-driven PDE Solver Generation.

Shanda Li, Tanya Marwah, Junhong Shen, Weiwei Sun, Andrej Risteski, Yiming Yang, Ameet Talwalkar

CoRR, May, 2025

CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization.

Weiwei Sun, Shengyu Feng, Shanda Li, Yiming Yang

CoRR, April, 2025

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for LLM Problem-Solving.

Yangzhen Wu, Zhiqing Sun, Shanda Li, Sean Welleck, Yiming Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

TFG-Flow: Training-free Guidance in Multimodal Generative Flow.

Haowei Lin, Shanda Li, Haotian Ye, Yiming Yang, Stefano Ermon, Yitao Liang, Jianzhu Ma

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

A visual detection algorithm for autonomous driving road environment perception.

Peichao Cong, Hao Feng, Shanda Li, Tianheng Li, Yutao Xu, Xin Zhang

Eng. Appl. Artif. Intell., 2024

An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models.

Yangzhen Wu, Zhiqing Sun, Shanda Li, Sean Welleck, Yiming Yang

CoRR, 2024

KM-Mask RCNN: A Lightweight Instance Segmentation Algorithm for Strawberries With Multiple Growth Cycles.

Peichao Cong, Yutao Xu, Tianheng Li, Shanda Li, Hao Feng, Xin Zhang

IEEE Access, 2024

Functional Interpolation for Relative Positions improves Long Context Transformers.

Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontañón, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers.

Krzysztof Choromanski, Shanda Li, Valerii Likhosherstov, Kumar Avinava Dubey, Shengjie Luo, Di He, Yiming Yang, Tamás Sarlós, Thomas Weingarten, Adrian Weller

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Learning Physics-Informed Neural Networks without Stacked Back-propagation.

Di He, Shanda Li, Wenlei Shi, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Is L² Physics-Informed Loss Always Suitable for Training Physics-Informed Neural Network?

Chuwei Wang, Shanda Li, Di He, Liwei Wang

CoRR, 2022

Is $L^2$ Physics Informed Loss Always Suitable for Training Physics Informed Neural Network?

Chuwei Wang, Shanda Li, Di He, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Your Transformer May Not be as Powerful as You Expect.

Shengjie Luo, Shanda Li, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Can Vision Transformers Perform Convolution?

Shanda Li, Xiangning Chen, Di He, Cho-Jui Hsieh

CoRR, 2021

Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding.

Shengjie Luo, Shanda Li, Tianle Cai, Di He, Dinglan Peng, Shuxin Zheng, Guolin Ke, Liwei Wang, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021