Reading Group Activities
Reading group is to hold a weekly meeting where one of the members will have a 30-40 minutes talk, discussing either their own papers, papers from other research groups, or anything that they are interested in. This will be followed by a Q&A and discussion session among the group on the topic.
Membership:Anyone can join by request. If you are interested in, please feel free to drop me a message.
Venue:Due to the lockdown, we are mainly holding this through virtual meetings (please click: Zoom meeting).
Meeting time:Starting from the week of 24th August, the meeting time is moved to Tuesday 11:00-12:00, London time.
Talk Schedule:The following is the schedule. Please drop me message if you have something to discuss (a title of your talk will be good, an abstract will be more than welcomed).
|11:00-12:00, Tuesday, 17/11/2020||Dengyu WU||Energy Efficient Spiking Neural Networks|
|11:00-12:00, Tuesday, 10/11/2020||Wei Huang||Boosting Operational DNN Testing Efficiency through Conditioning|
|11:00-12:00, Tuesday, 03/11/2020||Yuyao Kong, Southeast University||In-memory Processing based on Time-domain Circuit|
|11:00-12:00, Tuesday, 27/10/2020||Gaojie Jin||How does Weight Correlation Affect the Generalisation Ability of Deep Neural Networks|
|11:00-12:00, Tuesday, 20/10/2020.||Han Yu||Rate-Distortion Optimization Guided Autoencoder for Isometric Embedding in Euclidean Latent Space|
|11:00-12:00, Tuesday, 13/10/2020||Chi Zhang, University of Exeter||POPQORN: Quantifying Robustness of Recurrent Neural Networks|
|11:00-12:00, Tuesday, 06/10/2020||Ronghui Mu, University of Exeter||Sparse Adversarial Perturbations for Videos|
|11:00-12:00, Tuesday, 29/09/2020||Guanxiong Shen||Radio Frequency Fingerprint Identification for LoRa Using Deep Learning|
|11:00-12:00, Tuesday, 22/09/2020||Dengyu Wu||‘introduction to Spiking Neural Networks’|
|11:00-12:00, Tuesday, 15/09/2020.||Peipei Xu.||‘Certified Defenses for Adversarial Patches’|
|11:00-12:00, Tuesday, 08/09/2020||Fu Wang, University of Exeter||‘Adversarial Training for Free!’ and ‘Fast is better than free: Revisiting adversarial training’|
|11:00-12:00, Tuesday, 01/09/2020||Wei Huang||Practical Verification of Neural Network Enabled State Estimation System for Robotics|
|11:00-12:00, Tuesday, 25/08/2020||Gaojie Jin||`The Implicit and Explicit Regularization Effects of Dropout'|
|16:00-17:00, Tuesday, 18/08/2020||Xiaowei Huang||Safety Certification of Deep Learning|
|16:00-17:00, Tuesday, 11/08/2020||Han Yu||Rate-Distortion Optimization Guided Autoencoder for Isometric Embedding in Euclidean Latent Space|
|16:00-17:00, Tuesday, 04/08/2020||Dengyu Wu||Introduction to Spiking Neural Networks|
|16:00-17:00, Tuesday, 28/07/2020||Peipei Xu.||Certified Adversarial Robustness via Randomized Smoothing|
|16:00-17:00, Tuesday, 21/07/2020.||Wei Huang.||backdoor attack on tree ensembles|
|16:00-17:00, Tuesday, 14/07/2020||Gaojie Jin||predicting generalisation of deep neural networks|
|16:00-17:00, Tuesday, 07/07/2020.||Xinping Yi.||spectral analysis of convolutional neural networks|