PatentGPT: A Large Language Model for Intellectual Property

Zilong Bai , Ruiji Zhang , Linqing Chen , Qijun Cai
arXiv preprint arXiv:2404.18255

2024
Parallel Asynchronous Stochastic Variance Reduction for Nonconvex Optimization.

Zhouchen Lin , Cong Fang
national conference on artificial intelligence 794 -800

6
2017
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator

Zhouchen Lin , Cong Fang , Tong Zhang , Chris Junchi Li
arXiv: Optimization and Control

439
2018
A Sharp Convergence Rate Analysis for Distributed Accelerated Gradient Methods

Wotao Yin , Zhouchen Lin , Cong Fang , Huan Li
arXiv: Optimization and Control

35
2018
Hessian-Aware Zeroth-Order Optimization for Black-Box Adversarial Attack

Haishan Ye , Cong Fang , Tong Zhang , Chris Junchi Li
arXiv: Learning

24
2018
Complexities in Projection-Free Stochastic Non-convex Minimization

Peilin Zhao , Hui Qian , Junzhou Huang , Cong Fang
international conference on artificial intelligence and statistics 2868 -2876

31
2019
Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers

Zhouchen Lin , Cong Fang , Feng Cheng
neural information processing systems 30 4476 -4485

6
2017
Sharp Analysis for Nonconvex SGD Escaping from Saddle Points.

Zhouchen Lin , Cong Fang , Tong Zhang
conference on learning theory 1192 -1234

37
2019
Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks.

Pengkun Yang , Jason D. Lee , Cong Fang , Tong Zhang
arXiv: Machine Learning

38
2020
Decentralized Accelerated Gradient Methods With Increasing Penalty Parameters

Wotao Yin , Zhouchen Lin , Cong Fang , Huan Li
arXiv: Optimization and Control

31
2018
Improved Analysis of Clipping Algorithms for Non-convex Optimization

Cong Fang , Liwei Wang , Bohang Zhang , Jikai Jin
neural information processing systems 33 15511 -15521

20
2020
How to Characterize The Landscape of Overparameterized Convolutional Neural Networks

Jason D. Lee , Cong Fang , Weizhong Zhang , Tong Zhang
neural information processing systems 33 3797 -3807

3
2020
Mathematical Models of Overparameterized Neural Networks

Cong Fang , Tong Zhang , Hanze Dong
Proceedings of the IEEE 109 ( 5) 683 -703

1
2021
Accelerated Algorithms for Nonconvex Optimization

Zhouchen Lin , Huan Li , Cong Fang , Zhouchen Lin
Springer, Singapore 109 -135

2020
Dictionary learning with structured noise

Pan Zhou , Cong Fang , Zhouchen Lin , Chao Zhang
Neurocomputing 273 414 -423

12
2018
Learning Compact Partial Differential Equations for Color Images with Efficiency

Zhenyu Zhao , Chenping Hou , Bo Lin , Cong Fang
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 3782 -3786

1
2019
Accelerated First-Order Optimization Algorithms for Machine Learning

Huan Li , Cong Fang , Zhouchen Lin
Proceedings of the IEEE 108 ( 11) 2067 -2082

17
2020
Lifted Proximal Operator Machines

Jia Li , Cong Fang , Zhouchen Lin
national conference on artificial intelligence 33 ( 01) 4181 -4188

6
2019
A robust hybrid method for text detection in natural scenes by learning-based partial differential equations

Zhenyu Zhao , Cong Fang , Zhouchen Lin , Yi Wu
Neurocomputing 168 23 -34

16
2015
Feature learning via partial differential equation with applications to face recognition

Cong Fang , Zhenyu Zhao , Pan Zhou , Zhouchen Lin
Pattern Recognition 69 14 -25

11
2017