Recent & Upcoming Talks

2023

How to read and write scientific paper?

A sharing about how to read and write papers for students new to research

Jul 27, 2023 6:00 PM — 8:00 PM Shanghai

How to read and write scientific paper?

2022

Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder

A group sharing about the NeurIPS 2019 paper Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder.

Mar 8, 2022 7:00 PM — 8:00 PM Shanghai

Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder

2021

Bayesian Attention Modules

A group sharing about the NeurIPS 2020 paper Bayesian Attention Modules.

Nov 12, 2021 7:00 PM — 8:00 PM Shanghai

Bayesian Attention Modules

Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization

A talk about my SEBR paper in SJTU Computer Science Global Lunch Series.

May 14, 2021 12:00 PM — 12:30 PM Shanghai

Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization

Lipschitz Constraint and Spectral Norm in Deep Learning

A short review of the applications of Lipschitz constraint and spectral norm in Deep Learning.

May 13, 2021 8:00 PM — 9:00 PM Shanghai

Lipschitz Constraint and Spectral Norm in Deep Learning

Uncertainty-guided Continual Learning with Bayesian Neural Networks

A short sharing about the ICLR 2020 paper Uncertainty-guided Continual Learning with Bayesian Neural Networks.

Mar 11, 2021 7:00 PM — 8:00 PM Shanghai

Uncertainty-guided Continual Learning with Bayesian Neural Networks

2020

Adversarial Robustness: Theory and Practice

A group sharing about the theory and practice on adversarial robustness in deep learning.

Sep 21, 2020 7:00 PM — 8:00 PM Shanghai

Adversarial Robustness: Theory and Practice

Robustness of Bayesian Neural Networks to Gradient-Based Attacks

A short sharing about the paper Robustness of Bayesian Neural Networks to Gradient-Based Attacks.

Aug 4, 2020 Shanghai

Robustness of Bayesian Neural Networks to Gradient-Based Attacks

How much Position Information Do Convolutional Neural Networks Encode?

A sharing about the ICLR 2020 paper How much Position Information Do Convolutional Neural Networks Encode?.

May 16, 2020 Shanghai

How much Position Information Do Convolutional Neural Networks Encode?

2019

On the Expressive Power of Deep Neural Networks

A group sharing about the ICML 2017 paper On the Expressive Power of Deep Neural Networks.

May 21, 2019 Shanghai

On the Expressive Power of Deep Neural Networks

2018

Walk through Deep Transfer Learning

A review on deep transfer learning.

Dec 7, 2018 Shanghai

Walk through Deep Transfer Learning

Deep Reinforcement Learning: An Overview

A review on deep reinforcement learning.

Jul 19, 2018 Shanghai

Deep Reinforcement Learning: An Overview