Search Results for author: Quan Chen

Found 20 papers, 6 papers with code

DCCF: Deep Comprehensible Color Filter Learning Framework for High-Resolution Image Harmonization

1 code implementation11 Jul 2022 Ben Xue, Shenghui Ran, Quan Chen, Rongfei Jia, Binqiang Zhao, Xing Tang

Image color harmonization algorithm aims to automatically match the color distribution of foreground and background images captured in different conditions.

SALO: An Efficient Spatial Accelerator Enabling Hybrid Sparse Attention Mechanisms for Long Sequences

no code implementations29 Jun 2022 Guan Shen, Jieru Zhao, Quan Chen, Jingwen Leng, Chao Li, Minyi Guo

However, the quadratic complexity of self-attention w. r. t the sequence length incurs heavy computational and memory burdens, especially for tasks with long sequences.

Multilayer Perceptron Based Stress Evolution Analysis under DC Current Stressing for Multi-segment Wires

no code implementations17 May 2022 Tianshu Hou, Peining Zhen, Ngai Wong, Quan Chen, Guoyong Shi, Shuqi Wang, Hai-Bao Chen

Electromigration (EM) is one of the major concerns in the reliability analysis of very large scale integration (VLSI) systems due to the continuous technology scaling.

A Space-Time Neural Network for Analysis of Stress Evolution under DC Current Stressing

no code implementations29 Mar 2022 Tianshu Hou, Ngai Wong, Quan Chen, Zhigang Ji, Hai-Bao Chen

The electromigration (EM)-induced reliability issues in very large scale integration (VLSI) circuits have attracted increased attention due to the continuous technology scaling.

Boosting Image Outpainting with Semantic Layout Prediction

no code implementations18 Oct 2021 Ye Ma, Jin Ma, Min Zhou, Quan Chen, Tiezheng Ge, Yuning Jiang, Tong Lin

Secondly, another GAN model is trained to synthesize real images based on the extended semantic layouts.

Image Outpainting Semantic Segmentation

Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection

no code implementations8 Sep 2021 Shulai Zhang, Zirui Li, Quan Chen, Wenli Zheng, Jingwen Leng, Minyi Guo

Federated learning (FL) is a distributed machine learning paradigm that allows clients to collaboratively train a model over their own local data.

Federated Learning

FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation

1 code implementation15 Feb 2021 Chaofan Tao, Rui Lin, Quan Chen, Zhaoyang Zhang, Ping Luo, Ngai Wong

Prior arts often discretize the network weights by carefully tuning hyper-parameters of quantization (e. g. non-uniform stepsize and layer-wise bitwidths), which are complicated and sub-optimal because the full-precision and low-precision models have a large discrepancy.

Neural Network Compression Quantization

Federated Learning on Non-IID Data Silos: An Experimental Study

1 code implementation3 Feb 2021 Qinbin Li, Yiqun Diao, Quan Chen, Bingsheng He

We find that non-IID does bring significant challenges in learning accuracy of FL algorithms, and none of the existing state-of-the-art FL algorithms outperforms others in all cases.

Federated Learning Machine Learning

Edge Computing Assisted Autonomous Flight for UAV: Synergies between Vision and Communications

no code implementations10 Dec 2020 Quan Chen, Hai Zhu, Lei Yang, Xiaoqian Chen, Sofie Pollin, Evgenii Vinogradov

By proposing a framework of Edge Computing Assisted Autonomous Flight (ECAAF), we illustrate that vision and communications can interact with and assist each other with the aid of edge computing and offloading, and further speed up the UAV mission completion.

Edge-computing Trajectory Planning Networking and Internet Architecture Robotics Systems and Control Systems and Control

How Far Does BERT Look At: Distance-based Clustering and Analysis of BERT's Attention

no code implementations COLING 2020 Yue Guan, Jingwen Leng, Chao Li, Quan Chen, Minyi Guo

Recent research on the multi-head attention mechanism, especially that in pre-trained models such as BERT, has shown us heuristics and clues in analyzing various aspects of the mechanism.

How Far Does BERT Look At:Distance-based Clustering and Analysis of BERT$'$s Attention

no code implementations2 Nov 2020 Yue Guan, Jingwen Leng, Chao Li, Quan Chen, Minyi Guo

Recent research on the multi-head attention mechanism, especially that in pre-trained models such as BERT, has shown us heuristics and clues in analyzing various aspects of the mechanism.

Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration

no code implementations18 Feb 2020 Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Bin Yao, Minyi Guo

We propose Simultaneous Multi-mode Architecture (SMA), a novel architecture design and execution model that offers general-purpose programmability on DNN accelerators in order to accelerate end-to-end applications.

Adversarial Defense Through Network Profiling Based Path Extraction

no code implementations CVPR 2019 Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu

Recently, researchers have started decomposing deep neural network models according to their semantics or functions.

Adversarial Defense

Prostate Segmentation from 3D MRI Using a Two-Stage Model and Variable-Input Based Uncertainty Measure

no code implementations6 Mar 2019 Huitong Pan, Yushan Feng, Quan Chen, Craig Meyer, Xue Feng

Using PROMISE-12 data, we demonstrated the robustness of the two-stage model and showed high correlation of the proposed variable-input based uncertainty measures with GT-based performance.

Data Augmentation

Effective Path: Know the Unknowns of Neural Network

no code implementations27 Sep 2018 Yuxian Qiu, Jingwen Leng, Yuhao Zhu, Quan Chen, Chao Li, Minyi Guo

Despite their enormous success, there is still no solid understanding of deep neural network’s working mechanism.

Semantic Human Matting

2 code implementations5 Sep 2018 Quan Chen, Tiezheng Ge, Yanyu Xu, Zhiqiang Zhang, Xinxin Yang, Kun Gai

SHM is the first algorithm that learns to jointly fit both semantic information and high quality details with deep networks.

Image Matting

DLFuzz: Differential Fuzzing Testing of Deep Learning Systems

1 code implementation28 Aug 2018 Jianmin Guo, Yu Jiang, Yue Zhao, Quan Chen, Jiaguang Sun

Deep learning (DL) systems are increasingly applied to safety-critical domains such as autonomous driving cars.

Software Engineering

Deep joint rain and haze removal from single images

no code implementations21 Jan 2018 Liang Shen, Zihan Yue, Quan Chen, Fan Feng, Jie Ma

On the other hand, the accumulation of rain streaks from long distance makes the rain image look like haze veil.

Rain Removal

MSR-net:Low-light Image Enhancement Using Deep Convolutional Network

no code implementations7 Nov 2017 Liang Shen, Zihan Yue, Fan Feng, Quan Chen, Shihao Liu, Jie Ma

In this paper, a low-light image enhancement model based on convolutional neural network and Retinex theory is proposed.

Low-Light Image Enhancement

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