superlj666

Jian Li superlj666

Associate Professor at Beijing Normal University (BNU)

24 followers · 9 following

Beijing Normal University
Beijing, China
10:14 (UTC +08:00)
lijian.ac.cn

Achievements

Highlights

EduChat Public
Forked from ECNU-ICALK/EduChat

An open-source educational chat model from ICALK, East China Normal University. 开源中英教育对话大模型。(通用基座模型，GPU部署，数据清理) 致敬: LLaMA, MOSS, BELLE, Ziya, vLLM

Jupyter Notebook Updated May 7, 2025
superlj666.github.io Public
Forked from LantaoYu/lantaoyu.github.io

Github Pages template for academic personal websites

JavaScript 6 13 MIT License Updated Sep 18, 2024
Agnostic-DKRR Public

Java 1 Updated Dec 22, 2023
FedNS Public

MATLAB 1 Updated Dec 16, 2023
NonlinearHDA Public

Jupyter Notebook 1 Updated Dec 16, 2023
Agnostic-RF Public

Experiments for the TNNLS paper "Optimal Convergence for Agnostic Kernel Learning with Random Features"

MATLAB Updated Oct 24, 2023
DNystroem Public

Experiments for the JMLR paper "Optimal Convergence Rates for Distributed Nystroem Approximation"

Jupyter Notebook Updated May 5, 2023
CSKN Public

Convolutional Spectral Kernel Network

Jupyter Notebook Updated May 11, 2022
Ridgeless-Regression-with-Random-Features Public

Jupyter Notebook 4 Updated May 1, 2022
rdpwrap.ini Public
Forked from sebaxakerhtc/rdpwrap.ini

RDPWrap.ini for RDP Wrapper Library by Stas'M

Updated Sep 13, 2021
NGAE Public

The implementation of NGAE

Python 1 Updated Jun 11, 2021
FALKON_paper Public
Forked from LCSL/FALKON_paper

FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"

MATLAB Updated Oct 15, 2020
Distributed-Learning-with-Random-Features Public

Codes and experiments for paper "Distributed Learning with Random Features". Preprint.

kernel-ridge-regression random-features devide-and-conquer

MATLAB 3 1 Updated Mar 18, 2020
Automated-Spectral-Kernel-Learning Public

Codes and experiments for paper "Automated Spectral Kernel Learning". Preprint.

neural-network pytorch kernel-methods random-features

Python 6 1 Updated Feb 19, 2020
DISTRE Public
Forked from DFKI-NLP/DISTRE

Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction - ACL 2019

Python Apache License 2.0 Updated Sep 24, 2019
Multi-Class-Learning-using-Unlabeled-Samples-Theory-and-Algorithm Public

Codes and experiments for "Multi-Class Learning using Unlabeled Samples: Theory and Algorithm", published in IJCAI 2019
7914

semi-supervised-learning rademacher-complexity unlabeled-samples

MATLAB Updated Sep 17, 2019
Learning-Vector-valued-Functions-with-Local-Rademacher-Complexity Public

Codes and experiments for the paper "Learning Vector-valued Functions with Local Rademacher Complexity". Preprint.

semi-supervised-learning vector-valued-functions rademacher-complexity

MATLAB 1 Updated Sep 17, 2019
Multi-Class-Learning-From-Theory-to-Algorithm Public

Codes and experiments for "Multi-Class Learning: From Theory to Algorithm", published in NeurIPS 2018

theory generalization multi-class rademacher-complexity

MATLAB Updated Sep 17, 2019
Approximate-Manifold-Regularization-Scalable-Algorithm-and-Generalization-Analysis Public

Experiement in paper "Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis", published in IJCAI 2019

pcg nystrom laprls

MATLAB 2 4 Updated Sep 17, 2019
Max-Diversity-Distributed-Learning-Theory-and-Algorithms Public

Codes and experiments for the paper "Max-Discrepancy Distributed Learning: Fast Risk Bounds and Algorithms"

distributed-learning devide-and-conquer

C++ Updated Jun 9, 2019

Jian Li superlj666

Achievements

Achievements

Highlights

EduChat Public

Uh oh!

superlj666.github.io Public

Uh oh!

Agnostic-DKRR Public

Uh oh!

FedNS Public

Uh oh!

NonlinearHDA Public

Uh oh!

Agnostic-RF Public

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DNystroem Public

Uh oh!

CSKN Public

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Ridgeless-Regression-with-Random-Features Public

Uh oh!

rdpwrap.ini Public

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NGAE Public

Uh oh!

FALKON_paper Public

Uh oh!

Distributed-Learning-with-Random-Features Public

Uh oh!

Automated-Spectral-Kernel-Learning Public

Uh oh!

DISTRE Public

Uh oh!

Multi-Class-Learning-using-Unlabeled-Samples-Theory-and-Algorithm Public

Uh oh!

Learning-Vector-valued-Functions-with-Local-Rademacher-Complexity Public

Uh oh!

Multi-Class-Learning-From-Theory-to-Algorithm Public

Uh oh!

Approximate-Manifold-Regularization-Scalable-Algorithm-and-Generalization-Analysis Public

Uh oh!

Max-Diversity-Distributed-Learning-Theory-and-Algorithms Public

Uh oh!