Search Results for author: Feng Qian

Found 23 papers, 4 papers with code

Video Infringement Detection via Feature Disentanglement and Mutual Information Maximization

1 code implementation13 Sep 2023 Zhenguang Liu, Xinyang Yu, Ruili Wang, Shuai Ye, Zhe Ma, Jianfeng Dong, Sifeng He, Feng Qian, Xiaobo Zhang, Roger Zimmermann, Lei Yang

We theoretically analyzed the mutual information between the label and the disentangled features, arriving at a loss that maximizes the extraction of task-relevant information from the original feature.


Hybrid Control Policy for Artificial Pancreas via Ensemble Deep Reinforcement Learning

no code implementations13 Jul 2023 Wenzhou Lv, Tianyu Wu, Luolin Xiong, Liang Wu, Jian Zhou, Yang Tang, Feng Qian

Objective: The artificial pancreas (AP) has shown promising potential in achieving closed-loop glucose control for individuals with type 1 diabetes mellitus (T1DM).

Meta-Learning reinforcement-learning

Web Photo Source Identification based on Neural Enhanced Camera Fingerprint

1 code implementation18 Feb 2023 Feng Qian, Sifeng He, Honghao Huang, Huanyu Ma, Xiaobo Zhang, Lei Yang

With the growing popularity of smartphone photography in recent years, web photos play an increasingly important role in all walks of life.

Metric Learning

Unsupervised Seismic Footprint Removal With Physical Prior Augmented Deep Autoencoder

no code implementations8 Feb 2023 Feng Qian, Yuehua Yue, Yu He, Hongtao Yu, Yingjie Zhou, Jinliang Tang, Guangmin Hu

Seismic acquisition footprints appear as stably faint and dim structures and emerge fully spatially coherent, causing inevitable damage to useful signals during the suppression process.

TransVCL: Attention-enhanced Video Copy Localization Network with Flexible Supervision

2 code implementations23 Nov 2022 Sifeng He, Yue He, Minlong Lu, Chen Jiang, Xudong Yang, Feng Qian, Xiaobo Zhang, Lei Yang, Jiandong Zhang

Previous methods typically start from frame-to-frame similarity matrix generated by cosine similarity between frame-level features of the input video pair, and then detect and refine the boundaries of copied segments on similarity matrix under temporal constraints.

Retrieval Video Retrieval

When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey

no code implementations29 Mar 2020 Chongzhen Zhang, Jianrui Wang, Gary G. Yen, Chaoqiang Zhao, Qiyu Sun, Yang Tang, Feng Qian, Jürgen Kurths

Then, we further review the performance of RL and meta-learning from the aspects of accuracy or transferability or both of them in autonomous systems, involving pedestrian tracking, robot navigation and robotic manipulation.

Deblurring Decision Making +12

Monocular Depth Estimation Based On Deep Learning: An Overview

no code implementations14 Mar 2020 Chaoqiang Zhao, Qiyu Sun, Chongzhen Zhang, Yang Tang, Feng Qian

With the rapid development of deep neural networks, monocular depth estimation based on deep learning has been widely studied recently and achieved promising performance in accuracy.

Monocular Depth Estimation

Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey

no code implementations8 Jan 2020 Yang Tang, Chaoqiang Zhao, Jianrui Wang, Chongzhen Zhang, Qiyu Sun, Weixing Zheng, Wenli Du, Feng Qian, Juergen Kurths

Second, we review the visual-based environmental perception and understanding methods based on deep learning, including deep learning-based monocular depth estimation, monocular ego-motion prediction, image enhancement, object detection, semantic segmentation, and their combinations with traditional vSLAM frameworks.

Autonomous Navigation Decision Making +12

Stability of Multi-Dimensional Switched Systems with an Application to Open Multi-Agent Systems

no code implementations2 Jan 2020 Mengqi Xue, Yang Tang, Wei Ren, Feng Qian

It shows that through a proper transformation, the seeking of the (practical) consensus performance of the open MAS with disconnected digraphs boils down to that of the (practical) stability property of an $M^3D$ system with unstable subsystems.

Combating Fake News: A Survey on Identification and Mitigation Techniques

no code implementations18 Jan 2019 Karishma Sharma, Feng Qian, He Jiang, Natali Ruchansky, Ming Zhang, Yan Liu

The proliferation of fake news on social media has opened up new directions of research for timely identification and containment of fake news, and mitigation of its widespread impact on public opinion.


Understanding and Mitigating the Security Risks of Voice-Controlled Third-Party Skills on Amazon Alexa and Google Home

no code implementations3 May 2018 Nan Zhang, Xianghang Mi, Xuan Feng, Xiao-Feng Wang, Yuan Tian, Feng Qian

The significance of our findings have already been acknowledged by Amazon and Google, and further evidenced by the risky skills discovered on Alexa and Google markets by the new detection systems we built.

Cryptography and Security

LBP: Robust Rate Adaptation Algorithm for SVC Video Streaming

no code implementations30 Apr 2018 Anis Elgabli, Vaneet Aggarwal, Shuai Hao, Feng Qian, Subhabrata Sen

The objective is to optimize a novel QoE metric that models a combination of the three objectives of minimizing the stall/skip duration of the video, maximizing the playback quality of every chunk, and minimizing the number of quality switches.

Networking and Internet Architecture Multimedia

Multidimensional Data Tensor Sensing for RF Tomographic Imaging

no code implementations13 Dec 2017 Tao Deng, Xiao-Yang Liu, Feng Qian, Anwar Walid

The recently proposed transform-based tensor model is more appropriate for sensory data processing, as it helps exploit the geometric structures of the three-dimensional target and improve the recovery precision.

DeepWear: Adaptive Local Offloading for On-Wearable Deep Learning

no code implementations1 Dec 2017 Mengwei Xu, Feng Qian, Mengze Zhu, Feifan Huang, Saumay Pushp, Xuanzhe Liu

Due to their on-body and ubiquitous nature, wearables can generate a wide range of unique sensor data creating countless opportunities for deep learning tasks.

Tensor-Generative Adversarial Network with Two-dimensional Sparse Coding: Application to Real-time Indoor Localization

no code implementations7 Nov 2017 Chenxiao Zhu, Lingqing Xu, Xiao-Yang Liu, Feng Qian

Global Positioning System (GPS) becomes invalid in indoor environments due to the non-line-of-sight issue, so it is urgent to develop a real-time high-accuracy localization approach for smartphones.

Indoor Localization Super-Resolution

Syntax Aware LSTM model for Semantic Role Labeling

no code implementations WS 2017 Feng Qian, Lei Sha, Baobao Chang, Lu-chen Liu, Ming Zhang

In Semantic Role Labeling (SRL) task, the tree structured dependency relation is rich in syntax information, but it is not well handled by existing models.

Feature Engineering Machine Translation +2

Seismic facies recognition based on prestack data using deep convolutional autoencoder

no code implementations8 Apr 2017 Feng Qian, Miao Yin, Ming-Jun Su, Yaojun Wang, Guangmin Hu

Prestack seismic data carries much useful information that can help us find more complex atypical reservoirs.

Clustering valid

3D seismic data denoising using two-dimensional sparse coding scheme

no code implementations8 Apr 2017 Ming-Jun Su, Jingbo Chang, Feng Qian, Guangmin Hu, Xiao-Yang Liu

Seismic data denoising is vital to geophysical applications and the transform-based function method is one of the most widely used techniques.

Denoising Vocal Bursts Valence Prediction

Syntax Aware LSTM Model for Chinese Semantic Role Labeling

no code implementations3 Apr 2017 Feng Qian, Lei Sha, Baobao Chang, Lu-chen Liu, Ming Zhang

As for semantic role labeling (SRL) task, when it comes to utilizing parsing information, both traditional methods and recent recurrent neural network (RNN) based methods use the feature engineering way.

Chinese Semantic Role Labeling Dependency Parsing +3

Robust Order Scheduling in the Fashion Industry: A Multi-Objective Optimization Approach

no code implementations1 Feb 2017 Wei Du, Yang Tang, Sunney Yung Sun Leung, Le Tong, Athanasios V. Vasilakos, Feng Qian

In the fashion industry, order scheduling focuses on the assignment of production orders to appropriate production lines.


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