Search Results for author: Peng Chen

Found 47 papers, 16 papers with code

Looper: An end-to-end ML platform for product decisions

no code implementations14 Oct 2021 Igor L. Markov, Hanson Wang, Nitya Kasturi, Shaun Singh, Sze Wai Yuen, Mia Garrard, Sarah Tran, Yin Huang, Zehui Wang, Igor Glotov, Tanvi Gupta, Boshuang Huang, Peng Chen, Xiaowen Xie, Michael Belkin, Sal Uryasev, Sam Howie, Eytan Bakshy, Norm Zhou

Modern software systems and products increasingly rely on machine learning models to make data-driven decisions based on interactions with users and systems, e. g., compute infrastructure.

Decision Making

Efficient Re-parameterization Residual Attention Network For Nonhomogeneous Image Dehazing

no code implementations12 Sep 2021 Tian Ye, ErKang Chen, XinRui Huang, Peng Chen

This paper proposes an end-to-end Efficient Re-parameterizationResidual Attention Network(ERRA-Net) to directly restore the nonhomogeneous hazy image.

Image Dehazing Nonhomogeneous Image Dehazing

PermuteFormer: Efficient Relative Position Encoding for Long Sequences

1 code implementation6 Sep 2021 Peng Chen

Based on the analysis, we propose PermuteFormer, a Performer-based model with relative position encoding that scales linearly on long sequences.

Language Modelling

A SPA-based Manifold Learning Framework for Motor Imagery EEG Data Classification

no code implementations30 Jul 2021 Xiangyun Li, Peng Chen, Zhanpeng Bao

The electroencephalography (EEG) signal is a non-stationary, stochastic, and highly non-linear bioelectric signal for which achieving high classification accuracy is challenging, especially when the number of subjects is limited.

EEG

Smoothed Multi-View Subspace Clustering

1 code implementation18 Jun 2021 Peng Chen, Liang Liu, Zhengrui Ma, Zhao Kang

In recent years, multi-view subspace clustering has achieved impressive performance due to the exploitation of complementary imformation across multiple views.

Multi-view Subspace Clustering

ABCNet v2: Adaptive Bezier-Curve Network for Real-time End-to-end Text Spotting

1 code implementation8 May 2021 Yuliang Liu, Chunhua Shen, Lianwen Jin, Tong He, Peng Chen, Chongyu Liu, Hao Chen

Previous methods can be roughly categorized into two groups: character-based and segmentation-based, which often require character-level annotations and/or complex post-processing due to the unstructured output.

Text Spotting

LI-Net: Large-Pose Identity-Preserving Face Reenactment Network

no code implementations7 Apr 2021 Jin Liu, Peng Chen, Tao Liang, Zhaoxing Li, Cai Yu, Shuqiao Zou, Jiao Dai, Jizhong Han

Face reenactment is a challenging task, as it is difficult to maintain accurate expression, pose and identity simultaneously.

Face Reenactment

Projected Wasserstein gradient descent for high-dimensional Bayesian inference

1 code implementation12 Feb 2021 Yifei Wang, Peng Chen, Wuchen Li

We propose a projected Wasserstein gradient descent method (pWGD) for high-dimensional Bayesian inference problems.

Bayesian Inference Density Estimation

A fast and scalable computational framework for goal-oriented linear Bayesian optimal experimental design: Application to optimal sensor placement

1 code implementation12 Feb 2021 Keyi Wu, Peng Chen, Omar Ghattas

Optimal experimental design (OED) is a principled framework for maximizing information gained from limited data in inverse problems.

Optimization and Control Numerical Analysis Numerical Analysis

$SU(5)$ GUTs with $A_4$ modular symmetry

no code implementations29 Jan 2021 Peng Chen, Gui-Jun Ding, Stephen F. King

We combine $SU(5)$ Grand Unified Theories (GUTs) with $A_4$ modular symmetry and present a comprehensive analysis of the resulting quark and lepton mass matrices for all the simplest cases.

High Energy Physics - Phenomenology

LBS: Loss-aware Bit Sharing for Automatic Model Compression

no code implementations13 Jan 2021 Jing Liu, Bohan Zhuang, Peng Chen, Yong Guo, Chunhua Shen, Jianfei Cai, Mingkui Tan

Low-bitwidth model compression is an effective method to reduce the model size and computational overhead.

Model Compression Quantization

Derivative-Informed Projected Neural Networks for High-Dimensional Parametric Maps Governed by PDEs

2 code implementations30 Nov 2020 Thomas O'Leary-Roseberry, Umberto Villa, Peng Chen, Omar Ghattas

We use the projection basis vectors in the active subspace as well as the principal output subspace to construct the weights for the first and last layers of the neural network, respectively.

Experimental Design

Fully Quantized Image Super-Resolution Networks

1 code implementation29 Nov 2020 Hu Wang, Peng Chen, Bohan Zhuang, Chunhua Shen

With the rising popularity of intelligent mobile devices, it is of great practical significance to develop accurate, realtime and energy-efficient image Super-Resolution (SR) inference methods.

Image Super-Resolution Quantization

Tag and Correct: Question aware Open Information Extraction with Two-stage Decoding

no code implementations16 Sep 2020 Martin Kuo, Yaobo Liang, Lei Ji, Nan Duan, Linjun Shou, Ming Gong, Peng Chen

The semi-structured answer has two advantages which are more readable and falsifiable compared to span answer.

Open Information Extraction

FATNN: Fast and Accurate Ternary Neural Networks

no code implementations ICCV 2021 Peng Chen, Bohan Zhuang, Chunhua Shen

Ternary Neural Networks (TNNs) have received much attention due to being potentially orders of magnitude faster in inference, as well as more power efficient, than full-precision counterparts.

Image Classification Quantization

AQD: Towards Accurate Quantized Object Detection

no code implementations CVPR 2021 Peng Chen, Jing Liu, Bohan Zhuang, Mingkui Tan, Chunhua Shen

Network quantization allows inference to be conducted using low-precision arithmetic for improved inference efficiency of deep neural networks on edge devices.

Image Classification Object Detection +1

Deep Neural Network-Based Quantized Signal Reconstruction for DOA Estimation

no code implementations3 May 2020 Weifeng Han, Peng Chen, Zhenxin Cao

In this letter, a direction of angle (DOA) estimation problem is investigated with low-cost ADC in IRS, and we propose a deep neural network (DNN) as a recovery method for the low-resolution sampled signal.

Denoising Quantization

Predictions from warped flavordynamics based on the $T'$ family group

no code implementations5 Mar 2020 Peng Chen, Gui-Jun Ding, Jun-Nan Lu, José W. F. Valle

We propose a realistic theory of fermion masses and mixings using a five-dimensional warped scenario where all fermions propagate in the bulk and the Higgs field is localized on the IR brane.

High Energy Physics - Phenomenology

Tensor train construction from tensor actions, with application to compression of large high order derivative tensors

1 code implementation14 Feb 2020 Nick Alger, Peng Chen, Omar Ghattas

We present a method for converting tensors into tensor train format based on actions of the tensor as a vector-valued multilinear function.

Numerical Analysis Numerical Analysis

Projected Stein Variational Gradient Descent

1 code implementation NeurIPS 2020 Peng Chen, Omar Ghattas

The curse of dimensionality is a longstanding challenge in Bayesian inference in high dimensions.

Bayesian Inference

Training-free Monocular 3D Event Detection System for Traffic Surveillance

no code implementations1 Feb 2020 Lijun Yu, Peng Chen, Wenhe Liu, Guoliang Kang, Alexander G. Hauptmann

To deal with the aforementioned problems, in this paper, we propose a training-free monocular 3D event detection system for traffic surveillance.

Event Detection

Physics-Based Iterative Reconstruction for Dual Source and Flying Focal Spot Computed Tomography

no code implementations26 Jan 2020 Xiao Wang, Robert D. MacDougall, Peng Chen, Charles A. Bouman, Simon K. Warfield

Our algorithm uses precise physics models to reconstruct from the native cone-beam geometry and interleaved dual source helical trajectory of a DS-FFS CT. To do so, we construct a noise physics model to represent data acquisition noise and a prior image model to represent image noise and texture.

Computed Tomography (CT)

Audio-based automatic mating success prediction of giant pandas

no code implementations24 Dec 2019 WeiRan Yan, MaoLin Tang, Qijun Zhao, Peng Chen, Dunwu Qi, Rong Hou, Zhihe Zhang

Giant pandas, stereotyped as silent animals, make significantly more vocal sounds during breeding season, suggesting that sounds are essential for coordinating their reproduction and expression of mating preference.

One-Shot Imitation Filming of Human Motion Videos

no code implementations23 Dec 2019 Chong Huang, Yuanjie Dang, Peng Chen, Xin Yang, Kwang-Ting, Cheng

Imitation learning has been applied to mimic the operation of a human cameraman in several autonomous cinematography systems.

Imitation Learning Style Transfer

DLA: Dense-Layer-Analysis for Adversarial Example Detection

no code implementations5 Nov 2019 Philip Sperl, Ching-Yu Kao, Peng Chen, Konstantin Böttinger

In this paper, we present a novel end-to-end framework to detect such attacks during classification without influencing the target model's performance.

Autonomous Driving General Classification

A New Atomic Norm for DOA Estimation With Gain-Phase Errors

no code implementations5 Oct 2019 Peng Chen, Zhimin Chen, Zhenxin Cao, Xianbin Wang

The problem of direction of arrival (DOA) estimation has been studied for decades as an essential technology in enabling radar, wireless communications, and array signal processing related applications.

Structured Binary Neural Networks for Image Recognition

no code implementations22 Sep 2019 Bohan Zhuang, Chunhua Shen, Mingkui Tan, Peng Chen, Lingqiao Liu, Ian Reid

Experiments on both classification, semantic segmentation and object detection tasks demonstrate the superior performance of the proposed methods over various quantized networks in the literature.

Object Detection Quantization +1

Learning Deep Representations by Mutual Information for Person Re-identification

no code implementations16 Aug 2019 Peng Chen, Tong Jia, Pengfei Wu, Jianjun Wu, Dongyue Chen

Most existing person re-identification (ReID) methods have good feature representations to distinguish pedestrians with deep convolutional neural network (CNN) and metric learning methods.

Metric Learning Person Re-Identification

Distinguishing Individual Red Pandas from Their Faces

no code implementations9 Aug 2019 Qi He, Qijun Zhao, Ning Liu, Peng Chen, Zhihe Zhang, Rong Hou

We are going to release our database and model in the public domain to promote the research on automatic animal identification and particularly on the technique for protecting red pandas.

MAAM: A Morphology-Aware Alignment Model for Unsupervised Bilingual Lexicon Induction

no code implementations ACL 2019 Pengcheng Yang, Fuli Luo, Peng Chen, Tianyu Liu, Xu sun

The task of unsupervised bilingual lexicon induction (UBLI) aims to induce word translations from monolingual corpora in two languages.

Bilingual Lexicon Induction Denoising +2

Dense Procedure Captioning in Narrated Instructional Videos

no code implementations ACL 2019 Botian Shi, Lei Ji, Yaobo Liang, Nan Duan, Peng Chen, Zhendong Niu, Ming Zhou

Understanding narrated instructional videos is important for both research and real-world web applications.

Matryoshka: Fuzzing Deeply Nested Branches

no code implementations29 May 2019 Peng Chen, Jianzhong Liu, Hao Chen

Our evaluation also uncovered the key technique contributing to Matryoshka's impressive performance: it collects only the nesting constraints that may cause the target conditional statements unreachable, which greatly simplifies the constraints that it has to solve.

Cryptography and Security

Power Allocation in Multi-User Cellular Networks: Deep Reinforcement Learning Approaches

1 code implementation22 Jan 2019 Fan Meng, Peng Chen, Lenan Wu, Julian Cheng

The model-based power allocation algorithm has been investigated for decades, but it requires the mathematical models to be analytically tractable and it usually has high computational complexity.

Information Theory Information Theory

Power Allocation in Multi-user Cellular Networks With Deep Q Learning Approach

1 code implementation7 Dec 2018 Fan Meng, Peng Chen, Lenan Wu

Nowadays, the data-driven model-free machine learning-based approaches are rapidly developed in this field, and among them the deep reinforcement learning (DRL) is proved to be of great promising potential.

Information Theory Information Theory

Style Transfer as Unsupervised Machine Translation

no code implementations23 Aug 2018 Zhirui Zhang, Shuo Ren, Shujie Liu, Jianyong Wang, Peng Chen, Mu Li, Ming Zhou, Enhong Chen

Language style transferring rephrases text with specific stylistic attributes while preserving the original attribute-independent content.

Style Transfer Translation +1

Angora: Efficient Fuzzing by Principled Search

1 code implementation4 Mar 2018 Peng Chen, Hao Chen

On the LAVA-M data set, Angora found almost all the injected bugs, found more bugs than any other fuzzer that we compared with, and found eight times as many bugs as the second-best fuzzer in the program who.

Cryptography and Security

Question Generation for Question Answering

no code implementations EMNLP 2017 Nan Duan, Duyu Tang, Peng Chen, Ming Zhou

This paper presents how to generate questions from given passages using neural networks, where large scale QA pairs are automatically crawled and processed from Community-QA website, and used as training data.

Chatbot Question Answering +2

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