Ji Wang

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National University of Singapore ∙ Peking University

AP-Loss for Accurate One-Stage Object Detection

One-stage object detectors are trained by optimizing classification-loss...
08/17/2020 ∙ by Kean Chen, et al. ∙ 0 ∙ share

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Input Validation for Neural Networks via Runtime Local Robustness Verification

Local robustness verification can verify that a neural network is robust...
02/09/2020 ∙ by Jiangchao Liu, et al. ∙ 0 ∙ share

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

Recent research has shown that it is challenging to detect out-of-distri...
02/09/2020 ∙ by Yufeng Zhang, et al. ∙ 0 ∙ share

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

Ensuring the privacy of sensitive data used to train modern machine lear...
10/17/2019 ∙ by Lichao Sun, et al. ∙ 0 ∙ share

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SEdroid: A Robust Android Malware Detector using Selective Ensemble Learning

For the dramatic increase of Android malware and low efficiency of manua...
09/06/2019 ∙ by Ji Wang, et al. ∙ 0 ∙ share

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Private Deep Learning with Teacher Ensembles

Privacy-preserving deep learning is crucial for deploying deep neural ne...
06/05/2019 ∙ by Lichao Sun, et al. ∙ 0 ∙ share

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Towards Accurate One-Stage Object Detection with AP-Loss

One-stage object detectors are trained by optimizing classification-loss...
04/12/2019 ∙ by Kean Chen, et al. ∙ 0 ∙ share

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Pretraining-Based Natural Language Generation for Text Summarization

In this paper, we propose a novel pretraining-based encoder-decoder fram...
02/25/2019 ∙ by Haoyu Zhang, et al. ∙ 8 ∙ share

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Adversarial Attack and Defense on Graph Data: A Survey

Deep neural networks (DNNs) have been widely applied in various applicat...
12/26/2018 ∙ by Lichao Sun, et al. ∙ 0 ∙ share

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Dynamic Sounding for Multi-User MIMO in Wireless LANs

Consumer electronic (CE) devices increasingly rely on wireless local are...
12/04/2018 ∙ by Xiaofu Ma, et al. ∙ 0 ∙ share

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

Deep Neural Network (DNN) is a widely used deep learning technique. How ...
11/17/2018 ∙ by Chengdong Feng, et al. ∙ 0 ∙ share

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Private Model Compression via Knowledge Distillation

The soaring demand for intelligent mobile applications calls for deployi...
11/13/2018 ∙ by Ji Wang, et al. ∙ 0 ∙ share

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

With the development of cloud computing and big data, the reliability of...
09/11/2018 ∙ by Jianguo Zhang, et al. ∙ 0 ∙ share

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Deep Learning Towards Mobile Applications

Recent years have witnessed an explosive growth of mobile devices. Mobil...
09/10/2018 ∙ by Ji Wang, et al. ∙ 0 ∙ share

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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...
09/10/2018 ∙ by Ji Wang, et al. ∙ 0 ∙ share

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Combining Symbolic Execution and Model Checking to Verify MPI Programs

Message Passing Interface (MPI) is the standard paradigm of programming ...
03/16/2018 ∙ by Hengbiao Yu, et al. ∙ 0 ∙ share

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Scheduling Constraint Based Abstraction Refinement for Multi-Threaded Program Verification

Bounded model checking is among the most efficient techniques for the au...
08/22/2017 ∙ by Liangze Yin, et al. ∙ 0 ∙ share

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Untangling Blockchain: A Data Processing View of Blockchain Systems

Blockchain technologies are gaining massive momentum in the last few yea...
08/17/2017 ∙ by Tien Tuan Anh Dinh, et al. ∙ 0 ∙ share

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Ji Wang

Featured Co-authors

Bo Li

Philip S. Yu

Ming Zhou

Caiming Xiong

Jia Li

Zhibo Chen

Gang Chen

Nan Duan

Weiyao Lin

Rui Liu

Beng Chin Ooi

AP-Loss for Accurate One-Stage Object Detection

Input Validation for Neural Networks via Runtime Local Robustness Verification

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

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

SEdroid: A Robust Android Malware Detector using Selective Ensemble Learning

Private Deep Learning with Teacher Ensembles

Towards Accurate One-Stage Object Detection with AP-Loss

Pretraining-Based Natural Language Generation for Text Summarization

Adversarial Attack and Defense on Graph Data: A Survey

Dynamic Sounding for Multi-User MIMO in Wireless LANs

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

Private Model Compression via Knowledge Distillation

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

Deep Learning Towards Mobile Applications

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

Combining Symbolic Execution and Model Checking to Verify MPI Programs

Scheduling Constraint Based Abstraction Refinement for Multi-Threaded Program Verification

Untangling Blockchain: A Data Processing View of Blockchain Systems