Search Results for author: Yuan Feng

Found 19 papers, 5 papers with code

MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation

1 code implementation CVPR 2023 Yong Yang, Qiong Chen, Yuan Feng, Tianlin Huang

Existing few-shot segmentation methods are based on the meta-learning strategy and extract instance knowledge from a support set and then apply the knowledge to segment target objects in a query set.

Few-Shot Semantic Segmentation General Knowledge +3

Two Views of Constrained Differential Privacy: Belief Revision and Update

no code implementations1 Mar 2023 Likang Liu, Keke Sun, Chunlai Zhou, Yuan Feng

Within the framework established in this paper, constrained DP algorithms in the literature can be classified either as belief revision or belief update.

Vocal Bursts Valence Prediction

AttMEMO : Accelerating Transformers with Memoization on Big Memory Systems

no code implementations23 Jan 2023 Yuan Feng, Hyeran Jeon, Filip Blagojevic, Cyril Guyot, Qing Li, Dong Li

Transformer models gain popularity because of their superior inference accuracy and inference throughput.

MR Elastography with Optimization-Based Phase Unwrapping and Traveling Wave Expansion-based Neural Network (TWENN)

no code implementations6 Jan 2023 Shengyuan Ma, Runke Wang, Suhao Qiu, Ruokun Li, Qi Yue, Qingfang Sun, Liang Chen, Fuhua Yan, Guang-Zhong Yang, Yuan Feng

Here we propose a pipeline for processing MRE images using optimization-based displacement extraction and Traveling Wave Expansion-based Neural Network (TWENN) modulus estimation.

Revealing Secrets From Pre-trained Models

no code implementations19 Jul 2022 Mujahid Al Rafi, Yuan Feng, Hyeran Jeon

In this paper, we show a new observation that pre-trained models and fine-tuned models have significantly high similarities in weight values.

Model extraction Transfer Learning

Asymmetric Dual-Decoder U-Net for Joint Rain and Haze Removal

no code implementations14 Jun 2022 Yuan Feng, Yaojun Hu, Pengfei Fang, Yanhong Yang, Sheng Liu, ShengYong Chen

However, jointly removing the rain and haze in scene images is ill-posed and challenging, where the existence of haze and rain and the change of atmosphere light, can both degrade the scene information.

Autonomous Driving

A Long Short-term Memory Based Recurrent Neural Network for Interventional MRI Reconstruction

no code implementations28 Mar 2022 Ruiyang Zhao, Zhao He, Tao Wang, Suhao Qiu, Pawel Herman, Yanle Hu, Chencheng Zhang, Dinggang Shen, Bomin Sun, Guang-Zhong Yang, Yuan Feng

Here we proposed a convolutional long short-term memory (Conv-LSTM) based recurrent neural network (RNN), or ConvLR, to reconstruct interventional images with golden-angle radial sampling.

MRI Reconstruction

PAFNet: An Efficient Anchor-Free Object Detector Guidance

1 code implementation28 Apr 2021 Ying Xin, Guanzhong Wang, Mingyuan Mao, Yuan Feng, Qingqing Dang, Yanjun Ma, Errui Ding, Shumin Han

Therefore, a trade-off between effectiveness and efficiency is necessary in practical scenarios.

 Ranked #1 on Object Detection on COCO test-dev (Hardware Burden metric)

Object object-detection +1

Time-Continuous Energy-Conservation Neural Network for Structural Dynamics Analysis

no code implementations16 Dec 2020 Yuan Feng, Hexiang Wang, Han Yang, Fangbo Wang

Although the basic neural network provides an alternative approach for structural dynamics analysis, the lack of physics law inside the neural network limits the model accuracy and fidelity.

The 1st Tiny Object Detection Challenge:Methods and Results

1 code implementation16 Sep 2020 Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jiang, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han, Cheng Gao, Wei Tang, Lizuo Jin, Mingbo Hong, Yuchao Yang, Shuiwang Li, Huan Luo, Qijun Zhao, Humphrey Shi

The 1st Tiny Object Detection (TOD) Challenge aims to encourage research in developing novel and accurate methods for tiny object detection in images which have wide views, with a current focus on tiny person detection.

Human Detection Object +2

A Tensor Network based Decision Diagram for Representation of Quantum Circuits

no code implementations6 Sep 2020 Xin Hong, Xiangzhen Zhou, Sanjiang Li, Yuan Feng, Mingsheng Ying

Tensor networks have been successfully applied in simulation of quantum physical systems for decades.

Quantum Physics Data Structures and Algorithms

Qubit Mapping Based on Subgraph Isomorphism and Filtered Depth-Limited Search

2 code implementations15 Apr 2020 Sanjiang Li, Xiangzhen Zhou, Yuan Feng

Mapping logical quantum circuits to Noisy Intermediate-Scale Quantum (NISQ) devices is a challenging problem which has attracted rapidly increasing interests from both quantum and classical computing communities.

Quantum Physics

Quantum Circuit Transformation Based on Simulated Annealing and Heuristic Search

1 code implementation23 Aug 2019 Xiangzhen Zhou, Sanjiang Li, Yuan Feng

Our algorithm runs in time polynomial in all parameters including the size and the qubit number of the input circuit, and the qubit number in the QPU.

Quantum Physics

Quantum Data Fitting Algorithm for Non-sparse Matrices

no code implementations16 Jul 2019 Guangxi Li, Youle Wang, Yu Luo, Yuan Feng

We propose a quantum data fitting algorithm for non-sparse matrices, which is based on the Quantum Singular Value Estimation (QSVE) subroutine and a novel efficient method for recovering the signs of eigenvalues.

Quantum Privacy-Preserving Perceptron

no code implementations31 Jul 2017 Shenggang Ying, Mingsheng Ying, Yuan Feng

Secondly when updating the current classifier, private random noise is used to protect the original data.

BIG-bench Machine Learning Privacy Preserving

Quantum Privacy-Preserving Data Mining

no code implementations13 Dec 2015 Shenggang Ying, Mingsheng Ying, Yuan Feng

Data mining is a key technology in big data analytics and it can discover understandable knowledge (patterns) hidden in large data sets.

Privacy Preserving

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