Weijie Su

15 papers A* 1C 2Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multimodal OCR: Parse Anything from Documents.
CoRR
Handong Zheng, Yumeng Li, Kaile Zhang, Liang Xin, Guangwei Zhao, Hao Liu, Jiayu Chen, Jie Lou, Qi Fu, Rui Yang, Shuo Jiang, Weijian Luo, Weijie Su, Weijun Zhang, Xingyu Zhu, Yabin Li, Yiwei Ma, Yu Chen, Yuqiu Ji, Zhaohui Yu, Guang Yang, Colin Zhang, Lei Zhang, Yuliang Liu, Xiang Bai
2026 J jnl
Novel RNN and Its Enhanced Variant Based on Direct Discretization Approach for Discrete-Form Time-Dependent Quadratic Programming.
IEEE Trans Autom. Sci. Eng.
Yang Shi, Weijie Su, Xinwei Cao, Mei Liu, Jiyun Wang, Dimitrios Gerontitis
2026 J jnl
Pretrained Multilingual Transformers Reveal Quantitative Distance Between Human Languages.
CoRR
Yue Zhao, Jiatao Gu, Paloma Jeretic, Weijie Su
2025 C conf
A General One-Parameter Discrete-Time Recurrent Neural Network for Solving Discrete-Form Time-Varying Augmented Sylvester Matrix Equation.
ISNN
Yueyang Ma, Weijie Su, Jian Li, Dimitrios Gerontitis, Yang Shi, Jiyun Wang
2025 J jnl
Can some algorithms of machine learning identify osteoporosis patients after training and testing some clinical information about patients?
BMC Medical Informatics Decis. Mak.
Guixiong Huang, Weilin Zhu, Yulong Wang, Yizhou Wan, Kaifang Chen, Yanlin Su, Weijie Su, Lianxin Li, Pengran Liu, Xiao dong Guo
2025 — ed.
Conference on Parsimony and Learning, Stanford University, USA, 24-27 March 2025.
CPAL
Beidi Chen, Shijia Liu, Mert Pilanci, Weijie Su, Jeremias Sulam, Yuxiang Wang, Zhihui Zhu
2025 J jnl
Do Large Language Models (Really) Need Statistical Foundations?
CoRR
Weijie Su
2025 J jnl
Isotropic Curvature Model for Understanding Deep Learning Optimization: Is Gradient Orthogonalization Optimal?
CoRR
Weijie Su
2025 J jnl
Length-MAX Tokenizer for Language Models.
CoRR
Dong Dong, Weijie Su
2025 J jnl
PolarGrad: A Class of Matrix-Gradient Optimizers from a Unifying Preconditioning Perspective.
CoRR
Tim Tsz-Kit Lau, Qi Long, Weijie Su
2025 J jnl
TAB-DRW: A DFT-based Robust Watermark for Generative Tabular Data.
CoRR
Yizhou Zhao, Xiang Li, Peter Song, Qi Long, Weijie Su
2024 C conf
Parameter Identification Based on Generalized Orthonormal Basis Function Without Persistent Excitation: A Learning-Based Paradigm.
INDIN
Kuan Li, Weijie Su, Xingyong Li, Yang He, Minchang Huang, Hao Luo
2022 A* conf
The alignment property of SGD noise and how it helps select flat minima: A stability analysis.
NeurIPS
Lei Wu, Mingze Wang, Weijie Su
2019 J jnl
Robust Learning Rate Selection for Stochastic Optimization via Splitting Diagnostic.
CoRR
Matteo Sordello, Weijie Su
2018 J jnl
Statistical Inference for Online Learning and Stochastic Approximation via Hierarchical Incremental Gradient Descent.
CoRR
Weijie Su, Yuancheng Zhu