Ji Wang | DeepAI

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Bo Li
461 publications
Philip S. Yu
299 publications
Caiming Xiong
210 publications
Jia Li
149 publications
Fei Huang
134 publications
Nan Duan
128 publications
Ming Zhou
107 publications
Zhibo Chen
106 publications
Rui Liu
95 publications
Gang Chen
92 publications
Xiaodong Liu
88 publications

∙ 08/06/2023

StyleEDL: Style-Guided High-order Attention Network for Image Emotion Distribution Learning

Emotion distribution learning has gained increasing attention with the t...

0 Peiguang Jing, et al. ∙

∙ 07/29/2023

An Automata-Theoretic Approach to Synthesizing Binarized Neural Networks

Deep neural networks, (DNNs, a.k.a. NNs), have been widely used in vario...

0 Ye Tao, et al. ∙

∙ 06/27/2023

Verifying Safety of Neural Networks from Topological Perspectives

Neural networks (NNs) are increasingly applied in safety-critical system...

0 Zhen Liang, et al. ∙

∙ 05/05/2023

Repairing Deep Neural Networks Based on Behavior Imitation

The increasing use of deep neural networks (DNNs) in safety-critical sys...

0 Zhen Liang, et al. ∙

∙ 12/01/2022

AI Empowered Net-RCA for 6G

6G is envisioned to offer higher data rate, improved reliability, ubiqui...

0 Chengbo Qiu, et al. ∙

∙ 10/28/2022

Scalable Spectral Clustering with Group Fairness Constraints

There are synergies of research interests and industrial efforts in mode...

0 Ji Wang, et al. ∙

∙ 10/09/2022

Safety Verification for Neural Networks Based on Set-boundary Analysis

Neural networks (NNs) are increasingly applied in safety-critical system...

0 Zhen Liang, et al. ∙

∙ 02/17/2021

DepOwl: Detecting Dependency Bugs to Prevent Compatibility Failures

Applications depend on libraries to avoid reinventing the wheel. Librari...

0 Zhouyang Jia, et al. ∙

∙ 02/10/2021

On the Properties of Kullback-Leibler Divergence Between Gaussians

Kullback-Leibler (KL) divergence is one of the most important divergence...

0 Yufeng Zhang, et al. ∙

∙ 10/24/2020

Keyphrase Extraction with Dynamic Graph Convolutional Networks and Diversified Inference

Keyphrase extraction (KE) aims to summarize a set of phrases that accura...

0 Haoyu Zhang, et al. ∙

∙ 08/17/2020

AP-Loss for Accurate One-Stage Object Detection

One-stage object detectors are trained by optimizing classification-loss...

0 Kean Chen, et al. ∙

∙ 02/09/2020

Input Validation for Neural Networks via Runtime Local Robustness Verification

Local robustness verification can verify that a neural network is robust...

0 Jiangchao Liu, et al. ∙

∙ 02/09/2020

Out-of-Distribution Detection with Distance Guarantee in Deep Generative Models

Recent research has shown that it is challenging to detect out-of-distri...

0 Yufeng Zhang, et al. ∙

∙ 10/17/2019

Not Just Cloud Privacy: Protecting Client Privacy in Teacher-Student Learning

Ensuring the privacy of sensitive data used to train modern machine lear...

0 Lichao Sun, et al. ∙

∙ 09/06/2019

SEdroid: A Robust Android Malware Detector using Selective Ensemble Learning

For the dramatic increase of Android malware and low efficiency of manua...

0 Ji Wang, et al. ∙

∙ 06/05/2019

Private Deep Learning with Teacher Ensembles

Privacy-preserving deep learning is crucial for deploying deep neural ne...

0 Lichao Sun, et al. ∙

∙ 04/12/2019

Towards Accurate One-Stage Object Detection with AP-Loss

One-stage object detectors are trained by optimizing classification-loss...

0 Kean Chen, et al. ∙

∙ 02/25/2019

Pretraining-Based Natural Language Generation for Text Summarization

In this paper, we propose a novel pretraining-based encoder-decoder fram...

8 Haoyu Zhang, et al. ∙

∙ 12/26/2018

Adversarial Attack and Defense on Graph Data: A Survey

Deep neural networks (DNNs) have been widely applied in various applicat...

0 Lichao Sun, et al. ∙

∙ 12/04/2018

Dynamic Sounding for Multi-User MIMO in Wireless LANs

Consumer electronic (CE) devices increasingly rely on wireless local are...

0 Xiaofu Ma, et al. ∙

∙ 11/17/2018

Boosting the Robustness Verification of DNN by Identifying the Achilles's Heel

Deep Neural Network (DNN) is a widely used deep learning technique. How ...

0 Chengdong Feng, et al. ∙

∙ 11/13/2018

Private Model Compression via Knowledge Distillation

The soaring demand for intelligent mobile applications calls for deployi...

0 Ji Wang, et al. ∙

∙ 09/11/2018

Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction

With the development of cloud computing and big data, the reliability of...

0 Jianguo Zhang, et al. ∙

∙ 09/10/2018

Deep Learning Towards Mobile Applications

Recent years have witnessed an explosive growth of mobile devices. Mobil...

0 Ji Wang, et al. ∙

∙ 09/10/2018

Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud

The increasing demand for on-device deep learning services calls for a h...

0 Ji Wang, et al. ∙

∙ 03/16/2018

Combining Symbolic Execution and Model Checking to Verify MPI Programs

Message Passing Interface (MPI) is the standard paradigm of programming ...

0 Hengbiao Yu, et al. ∙

∙ 08/22/2017

Scheduling Constraint Based Abstraction Refinement for Multi-Threaded Program Verification

Bounded model checking is among the most efficient techniques for the au...

0 Liangze Yin, et al. ∙

∙ 08/17/2017

Untangling Blockchain: A Data Processing View of Blockchain Systems

Blockchain technologies are gaining massive momentum in the last few yea...

0 Tien Tuan Anh Dinh, et al. ∙

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