Cong Fang

According to our database1, Cong Fang authored at least 21 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Decentralized Accelerated Gradient Methods With Increasing Penalty Parameters.
IEEE Trans. Signal Process., 2020

Improved Analysis of Clipping Algorithms for Non-convex Optimization.
CoRR, 2020

Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks.
CoRR, 2020

Accelerated Optimization for Machine Learning - First-Order Algorithms
Springer, ISBN: 978-981-15-2909-2, 2020

2019
Convex Formulation of Overparameterized Deep Neural Networks.
CoRR, 2019

Over Parameterized Two-level Neural Networks Can Learn Near Optimal Feature Representations.
CoRR, 2019

A Fluctuation Model of a Hf02 RRAM Cell for Memory Circuit Designs.
Proceedings of the 16th International Conference on Synthesis, 2019

Learning Compact Partial Differential Equations for Color Images with Efficiency.
Proceedings of the IEEE International Conference on Acoustics, 2019

Sharp Analysis for Nonconvex SGD Escaping from Saddle Points.
Proceedings of the Conference on Learning Theory, 2019

Complexities in Projection-Free Stochastic Non-convex Minimization.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Lifted Proximal Operator Machines.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Dictionary learning with structured noise.
Neurocomputing, 2018

Hessian-Aware Zeroth-Order Optimization for Black-Box Adversarial Attack.
CoRR, 2018

Accelerating Asynchronous Algorithms for Convex Optimization by Momentum Compensation.
CoRR, 2018

SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Feature learning via partial differential equation with applications to face recognition.
Pattern Recognit., 2017

Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A 130nm 1Mb HfOx embedded RRAM macro using self-adaptive peripheral circuit system techniques for 1.6X work temperature range.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2017

Parallel Asynchronous Stochastic Variance Reduction for Nonconvex Optimization.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015
A robust hybrid method for text detection in natural scenes by learning-based partial differential equations.
Neurocomputing, 2015

2014
Time-series processing of large scale remote sensing data with extreme learning machine.
Neurocomputing, 2014


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