Shengjie Luo

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 24

Top Topics

Graph Representation

Expressive Power

Fourier Transform

Top Venues

Publications

Shengjie Luo, Tianlang Chen, Aditi S. Krishnapriyan
Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products. ICLR (2024)
Tianlang Chen, Shengjie Luo, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang
GeoMFormer: A General Architecture for Geometric Molecular Representation Learning. CoRR (2024)
Krzysztof Choromanski, Shanda Li, Valerii Likhosherstov, Kumar Avinava Dubey, Shengjie Luo, Di He, Yiming Yang, Tamás Sarlós, Thomas Weingarten, Adrian Weller
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers. AISTATS (2024)
Shengjie Luo, Tianlang Chen, Aditi S. Krishnapriyan
Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products. CoRR (2024)
Zhenyu He, Guhao Feng, Shengjie Luo, Kai Yang, Di He, Jingjing Xu, Zhi Zhang, Hongxia Yang, Liwei Wang
Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation. CoRR (2024)
Zhenyu He, Jun Zhang, Shengjie Luo, Jingjing Xu, Zhi Zhang, Di He
Let the Code LLM Edit Itself When You Edit the Code. CoRR (2024)
Shengjie Luo, Tianlang Chen, Yixian Xu, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He
One Transformer Can Understand Both 2D & 3D Molecular Data. ICLR (2023)
Bohang Zhang, Shengjie Luo, Liwei Wang, Di He
Rethinking the Expressive Power of GNNs via Graph Biconnectivity. CoRR (2023)
Krzysztof Marcin Choromanski, Shanda Li, Valerii Likhosherstov, Kumar Avinava Dubey, Shengjie Luo, Di He, Yiming Yang, Tamás Sarlós, Thomas Weingarten, Adrian Weller
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers. CoRR (2023)
Zhigang Liu, Shengjie Luo, Yiting Wang
Mix MSTAR: A Synthetic Benchmark Dataset for Multi-Class Rotation Vehicle Detection in Large-Scale SAR Images. Remote. Sens. 15 (18) (2023)
Bohang Zhang, Shengjie Luo, Liwei Wang, Di He
Rethinking the Expressive Power of GNNs via Graph Biconnectivity. ICLR (2023)
Yu Shi, Shuxin Zheng, Guolin Ke, Yifei Shen, Jiacheng You, Jiyan He, Shengjie Luo, Chang Liu, Di He, Tie-Yan Liu
Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets. CoRR (2022)
Shengjie Luo, Shanda Li, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He
Your Transformer May Not be as Powerful as You Expect. NeurIPS (2022)
Shengjie Luo, Tianlang Chen, Yixian Xu, Shuxin Zheng, Tie-Yan Liu, Di He, Liwei Wang
One Transformer Can Understand Both 2D & 3D Molecular Data. CoRR (2022)
Shengjie Luo, Shanda Li, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He
Your Transformer May Not be as Powerful as You Expect. CoRR (2022)
Ke Wang, Shengjie Luo, Tao Chen, Jianbo Lu
Salient-VPR: Salient Weighted Global Descriptor for Visual Place Recognition. IEEE Trans. Instrum. Meas. 71 (2022)
Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Shen, Tie-Yan Liu
Do Transformers Really Perform Badly for Graph Representation? NeurIPS (2021)
Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Shen, Tie-Yan Liu
Do Transformers Really Perform Bad for Graph Representation? CoRR (2021)
Shengjie Luo, Shanda Li, Tianle Cai, Di He, Dinglan Peng, Shuxin Zheng, Guolin Ke, Liwei Wang, Tie-Yan Liu
Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding. NeurIPS (2021)
Shengjie Luo, Shanda Li, Tianle Cai, Di He, Dinglan Peng, Shuxin Zheng, Guolin Ke, Liwei Wang, Tie-Yan Liu
Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding. CoRR (2021)
Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training. ICML (2021)
Shengjie Luo, Kaiyuan Gao, Shuxin Zheng, Guolin Ke, Di He, Liwei Wang, Tie-Yan Liu
Revisiting Language Encoding in Learning Multilingual Representations. CoRR (2021)
Chengxuan Ying, Mingqi Yang, Shuxin Zheng, Guolin Ke, Shengjie Luo, Tianle Cai, Chenglin Wu, Yuxin Wang, Yanming Shen, Di He
First Place Solution of KDD Cup 2021 & OGB Large-Scale Challenge Graph Prediction Track. CoRR (2021)
Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training. CoRR (2020)