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08/24/2023
Prompt-Enhanced Software Vulnerability Detection Using ChatGPT
With the increase in software vulnerabilities that cause significant eco...
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11/20/2022
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models
Conditioned diffusion models have demonstrated state-of-the-art text-to-...
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11/03/2022
M-to-N Backdoor Paradigm: A Stealthy and Fuzzy Attack to Deep Learning Models
Recent studies show that deep neural networks (DNNs) are vulnerable to b...
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10/17/2022
Extensible Proxy for Efficient NAS
Neural Architecture Search (NAS) has become a de facto approach in the r...
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10/17/2022
What Makes Convolutional Models Great on Long Sequence Modeling?
Convolutional models have been widely used in multiple domains. However,...
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07/22/2022
Numerical integration of stochastic contact Hamiltonian systems via stochastic Herglotz variational principle
In this work we construct a stochastic contact variational integrator an...
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09/08/2021
VideoModerator: A Risk-aware Framework for Multimodal Video Moderation in E-Commerce
Video moderation, which refers to remove deviant or explicit content fro...
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08/04/2021
Generic Neural Architecture Search via Regression
Most existing neural architecture search (NAS) algorithms are dedicated ...
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06/13/2021
InfoBehavior: Self-supervised Representation Learning for Ultra-long Behavior Sequence via Hierarchical Grouping
E-commerce companies have to face abnormal sellers who sell potentially-...
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06/03/2021
TVDIM: Enhancing Image Self-Supervised Pretraining via Noisy Text Data
Among ubiquitous multimodal data in the real world, text is the modality...
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10/14/2020
Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices
High quality AI solutions require joint optimization of AI algorithms, s...
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10/14/2020
Symplectic method for Hamiltonian stochastic differential equations with multiplicative Lévy noise in the sense of Marcus
A class of Hamiltonian stochastic differential equations with multiplica...
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06/09/2020
GAP++: Learning to generate target-conditioned adversarial examples
Adversarial examples are perturbed inputs which can cause a serious thre...
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05/06/2020
EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions
High quality AI solutions require joint optimization of AI algorithms an...
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11/15/2019
Learning To Characterize Adversarial Subspaces
Deep Neural Networks (DNNs) are known to be vulnerable to the maliciousl...
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11/15/2019
Self-supervised Adversarial Training
Recent work has demonstrated that neural networks are vulnerable to adve...
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11/14/2019
Self-Supervised Learning For Few-Shot Image Classification
Few-shot image classification aims to classify unseen classes with limit...
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09/20/2019
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems
Developing object detection and tracking on resource-constrained embedde...
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06/25/2019
SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection
Developing artificial intelligence (AI) at the edge is always challengin...
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05/20/2019
A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices
Developing deep learning models for resource-constrained Internet-of-Thi...
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04/09/2019
FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge
While embedded FPGAs are attractive platforms for DNN acceleration on ed...
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03/18/2019
Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks
The task of Language-Based Image Editing (LBIE) aims at generating a tar...
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02/07/2019
SiamVGG: Visual Tracking using Deeper Siamese Networks
Recently, we have seen a rapid development of Deep Neural Network (DNN) ...
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02/27/2018
