research
∙
07/21/2023
Improving Viewpoint Robustness for Visual Recognition via Adversarial Training
Viewpoint invariance remains challenging for visual recognition in the 3...
share
research
∙
06/21/2023
Automatic Speech Disentanglement for Voice Conversion using Rank Module and Speech Augmentation
Voice Conversion (VC) converts the voice of a source speech to that of a...
research
∙
04/12/2023
SpectralDiff: Hyperspectral Image Classification with Spectral-Spatial Diffusion Models
Hyperspectral image (HSI) classification is an important topic in the fi...
research
∙
03/28/2023
Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition
Face recognition is a prevailing authentication solution in numerous bio...
research
∙
09/06/2022
High Speed Rotation Estimation with Dynamic Vision Sensors
Rotational speed is one of the important metrics to be measured for cali...
research
∙
08/08/2022
Learning-Based Client Selection for Federated Learning Services Over Wireless Networks with Constrained Monetary Budgets
We investigate a data quality-aware dynamic client selection problem for...
research
∙
06/20/2022
A Comparative Study on Application of Class-Imbalance Learning for Severity Prediction of Adverse Events Following Immunization
In collaboration with the Liaoning CDC, China, we propose a prediction s...
research
∙
06/09/2022
Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk
Though deep reinforcement learning (DRL) has obtained substantial succes...
research
∙
05/18/2021
Stacking VAE with Graph Neural Networks for Effective and Interpretable Time Series Anomaly Detection
In real-world maintenance applications, deep generative models have show...
research
∙
10/31/2020
Visual Companion for Booklovers
An innumerable number of individual choices go into discovering a new bo...
research
∙
04/17/2020
Learning-Based Joint User-AP Association and Resource Allocation in Ultra Dense Network
With the advantages of Millimeter wave in wireless communication network...
research
∙
12/25/2019
Learn to Segment Retinal Lesions and Beyond
Towards automated retinal screening, this paper makes an endeavor to sim...
research
∙
05/25/2019
Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness
Previous work shows that adversarially robust generalization requires la...
research
∙
01/25/2019
Improving Adversarial Robustness via Promoting Ensemble Diversity
Though deep neural networks have achieved significant progress on variou...
research
∙
05/09/2018
A Novel PMU Fog based Early Anomaly Detection for an Efficient Wide Area PMU Network
Based on phasor measurement units (PMUs), a synchronphasor system is wid...
research
∙
11/13/2017
Analyzing and Improving Stein Variational Gradient Descent for High-dimensional Marginal Inference
Stein variational gradient descent (SVGD) is a nonparametric inference m...
research
∙
07/01/2017
SAM: Semantic Attribute Modulation for Language Modeling and Style Variation
This paper presents a Semantic Attribute Modulation (SAM) for language m...
research
∙
05/14/2017
On Timing Model Extraction and Hierarchical Statistical Timing Analysis
In this paper, we investigate the challenges to apply Statistical Static...
research
∙
05/14/2017
Statistical Timing Analysis for Latch-Controlled Circuits with Reduced Iterations and Graph Transformations
Level-sensitive latches are widely used in high- performance designs. Fo...
research
∙
05/14/2017
Fast Statistical Timing Analysis for Circuits with Post-Silicon Tunable Clock Buffers
Post-Silicon Tunable (PST) clock buffers are widely used in high perform...
research
∙
05/14/2017
Timing Model Extraction for Sequential Circuits Considering Process Variations
As semiconductor devices continue to scale down, process vari- ations be...
research
∙
05/14/2017
On Hierarchical Statistical Static Timing Analysis
Statistical static timing analysis deals with the increasing variations ...
research
∙
12/07/2015
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation
We present a discriminative nonparametric latent feature relational mode...
research
∙
10/10/2013
Gibbs Max-margin Topic Models with Data Augmentation
Max-margin learning is a powerful approach to building classifiers and s...
research
∙
10/09/2013
Discriminative Relational Topic Models
Many scientific and engineering fields involve analyzing network data. F...
research
∙
10/05/2012