Shengjie Luo

According to our database, Shengjie Luo authored at least 15 papers between 2021 and 2024.

Collaborative distances:

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

2024

Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation.

Zhenyu He, Guhao Feng, Shengjie Luo, Kai Yang, Di He, Jingjing Xu, Zhi Zhang, Hongxia Yang, Liwei Wang

CoRR, 2024

Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products.

Shengjie Luo, Tianlang Chen, Aditi S. Krishnapriyan

CoRR, 2024

2023

Mix MSTAR: A Synthetic Benchmark Dataset for Multi-Class Rotation Vehicle Detection in Large-Scale SAR Images.

Zhigang Liu, Shengjie Luo, Yiting Wang

Remote. Sens., September, 2023

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

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

CoRR, 2023

Rethinking the Expressive Power of GNNs via Graph Biconnectivity.

Bohang Zhang, Shengjie Luo, Liwei Wang, Di He

Proceedings of the Eleventh International Conference on Learning Representations, 2023

One Transformer Can Understand Both 2D & 3D Molecular Data.

Shengjie Luo, Tianlang Chen, Yixian Xu, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Salient-VPR: Salient Weighted Global Descriptor for Visual Place Recognition.

Ke Wang, Shengjie Luo, Tao Chen, Jianbo Lu

IEEE Trans. Instrum. Meas., 2022

Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets.

Yu Shi, Shuxin Zheng, Guolin Ke, Yifei Shen, Jiacheng You, Jiyan He, Shengjie Luo, Chang Liu, Di He, Tie-Yan Liu

CoRR, 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

First Place Solution of KDD Cup 2021 & OGB Large-Scale Challenge Graph Prediction Track.

Chengxuan Ying, Mingqi Yang, Shuxin Zheng, Guolin Ke, Shengjie Luo, Tianle Cai, Chenglin Wu, Yuxin Wang, Yanming Shen, Di He

CoRR, 2021

Do Transformers Really Perform Bad for Graph Representation?

Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Shen, Tie-Yan Liu

CoRR, 2021

Revisiting Language Encoding in Learning Multilingual Representations.

Shengjie Luo, Kaiyuan Gao, Shuxin Zheng, Guolin Ke, Di He, Liwei Wang, Tie-Yan Liu

CoRR, 2021

Do Transformers Really Perform Badly for Graph Representation?

Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Shen, Tie-Yan Liu

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

GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training.

Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang

Proceedings of the 38th International Conference on Machine Learning, 2021