Shengjie Luo - RankMe

36 papers A* 12A 1Journal 22Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An improved Tikhonov regularization method combined with the exponential filter function. J. Comput. Methods Sci. Eng. Xiaoniu Zeng, Tianyou Liu, Xiaofeng Tan, Hongru Li, Shengjie Luo
2025	J	`jnl`	Diagnosing and Improving Diffusion Models by Estimating the Optimal Loss Value. CoRR Yixian Xu, Shengjie Luo, Liwei Wang, Di He, Chang Liu
2025	—	`conf`	How Numerical Precision Affects Arithmetical Reasoning Capabilities of LLMs. ACL (Findings) Guhao Feng, Kai Yang, Yuntian Gu, Xinyue Ai, Shengjie Luo, Jiacheng Sun, Di He, Zhenguo Li, Liwei Wang
2025	A*	`conf`	Let the Code LLM Edit Itself When You Edit the Code. ICLR Zhenyu He, Jun Zhang, Shengjie Luo, Jingjing Xu, Zhi Zhang, Di He
2025	J	`jnl`	UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection. CoRR Jigang Fan, Quanlin Wu, Shengjie Luo, Liwei Wang
2024	A*	`conf`	Bridging Geometric States via Geometric Diffusion Bridge. NeurIPS Shengjie Luo, Yixian Xu, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang
2024	J	`jnl`	Bridging Geometric States via Geometric Diffusion Bridge. CoRR Shengjie Luo, Yixian Xu, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang
2024	A*	`conf`	Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products. ICLR Shengjie Luo, Tianlang Chen, Aditi S. Krishnapriyan
2024	J	`jnl`	Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products. CoRR Shengjie Luo, Tianlang Chen, Aditi S. Krishnapriyan
2024	A*	`conf`	GeoMFormer: A General Architecture for Geometric Molecular Representation Learning. ICML Tianlang Chen, Shengjie Luo, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang
2024	J	`jnl`	GeoMFormer: A General Architecture for Geometric Molecular Representation Learning. CoRR Tianlang Chen, Shengjie Luo, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang
2024	J	`jnl`	How Numerical Precision Affects Mathematical Reasoning Capabilities of LLMs. CoRR Guhao Feng, Kai Yang, Yuntian Gu, Xinyue Ai, Shengjie Luo, Jiacheng Sun, Di He, Zhenguo Li, Liwei Wang
2024	A	`conf`	Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers. AISTATS Krzysztof Choromanski, Shanda Li, Valerii Likhosherstov, Kumar Avinava Dubey, Shengjie Luo, Di He, Yiming Yang, Tamás Sarlós, Thomas Weingarten, Adrian Weller
2024	J	`jnl`	Let the Code LLM Edit Itself When You Edit the Code. CoRR Zhenyu He, Jun Zhang, Shengjie Luo, Jingjing Xu, Zhi Zhang, Di He
2024	A*	`conf`	Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning. NeurIPS Yuxuan Ren, Dihan Zheng, Chang Liu, Peiran Jin, Yu Shi, Lin Huang, Jiyan He, Shengjie Luo, Tao Qin, Tie-Yan Liu
2024	J	`jnl`	Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning. CoRR Yuxuan Ren, Dihan Zheng, Chang Liu, Peiran Jin, Yu Shi, Lin Huang, Jiyan He, Shengjie Luo, Tao Qin, Tie-Yan Liu
2024	A*	`conf`	Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation. ICML Zhenyu He, Guhao Feng, Shengjie Luo, Kai Yang, Liwei Wang, Jingjing Xu, Zhi Zhang, Hongxia Yang, Di He
2024	J	`jnl`	Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation. CoRR Zhenyu He, Guhao Feng, Shengjie Luo, Kai Yang, Di He, Jingjing Xu, Zhi Zhang, Hongxia Yang, Liwei Wang
2023	J	`jnl`	Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers. CoRR Krzysztof Marcin Choromanski, Shanda Li, Valerii Likhosherstov, Kumar Avinava Dubey, Shengjie Luo, Di He, Yiming Yang, Tamás Sarlós, Thomas Weingarten, Adrian Weller
2023	J	`jnl`	Mix MSTAR: A Synthetic Benchmark Dataset for Multi-Class Rotation Vehicle Detection in Large-Scale SAR Images. Remote. Sens. Zhigang Liu, Shengjie Luo, Yiting Wang
2023	A*	`conf`	One Transformer Can Understand Both 2D & 3D Molecular Data. ICLR Shengjie Luo, Tianlang Chen, Yixian Xu, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He
2023	A*	`conf`	Rethinking the Expressive Power of GNNs via Graph Biconnectivity. ICLR Bohang Zhang, Shengjie Luo, Liwei Wang, Di He
2023	J	`jnl`	Rethinking the Expressive Power of GNNs via Graph Biconnectivity. CoRR Bohang Zhang, Shengjie Luo, Liwei Wang, Di He
2022	J	`jnl`	Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets. CoRR Yu Shi, Shuxin Zheng, Guolin Ke, Yifei Shen, Jiacheng You, Jiyan He, Shengjie Luo, Chang Liu, Di He, Tie-Yan Liu
2022	J	`jnl`	One Transformer Can Understand Both 2D & 3D Molecular Data. CoRR Shengjie Luo, Tianlang Chen, Yixian Xu, Shuxin Zheng, Tie-Yan Liu, Di He, Liwei Wang
2022	J	`jnl`	Salient-VPR: Salient Weighted Global Descriptor for Visual Place Recognition. IEEE Trans. Instrum. Meas. Ke Wang, Shengjie Luo, Tao Chen, Jianbo Lu
2022	A*	`conf`	Your Transformer May Not be as Powerful as You Expect. NeurIPS Shengjie Luo, Shanda Li, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He
2022	J	`jnl`	Your Transformer May Not be as Powerful as You Expect. CoRR Shengjie Luo, Shanda Li, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He
2021	J	`jnl`	Do Transformers Really Perform Bad for Graph Representation? CoRR Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Shen, Tie-Yan Liu
2021	A*	`conf`	Do Transformers Really Perform Badly for Graph Representation? NeurIPS Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Shen, Tie-Yan Liu
2021	J	`jnl`	First Place Solution of KDD Cup 2021 & OGB Large-Scale Challenge Graph Prediction Track. CoRR Chengxuan Ying, Mingqi Yang, Shuxin Zheng, Guolin Ke, Shengjie Luo, Tianle Cai, Chenglin Wu, Yuxin Wang, Yanming Shen, Di He
2021	A*	`conf`	GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training. ICML Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang
2021	J	`jnl`	Revisiting Language Encoding in Learning Multilingual Representations. CoRR Shengjie Luo, Kaiyuan Gao, Shuxin Zheng, Guolin Ke, Di He, Liwei Wang, Tie-Yan Liu
2021	A*	`conf`	Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding. NeurIPS Shengjie Luo, Shanda Li, Tianle Cai, Di He, Dinglan Peng, Shuxin Zheng, Guolin Ke, Liwei Wang, Tie-Yan Liu
2021	J	`jnl`	Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding. CoRR Shengjie Luo, Shanda Li, Tianle Cai, Di He, Dinglan Peng, Shuxin Zheng, Guolin Ke, Liwei Wang, Tie-Yan Liu
2020	J	`jnl`	GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training. CoRR Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang