Search Results for author: Peng Chen

Found 75 papers, 30 papers with code

Efficient PDE-Constrained optimization under high-dimensional uncertainty using derivative-informed neural operators

no code implementations31 May 2023 Dingcheng Luo, Thomas O'Leary-Roseberry, Peng Chen, Omar Ghattas

We propose a novel machine learning framework for solving optimization problems governed by large-scale partial differential equations (PDEs) with high-dimensional random parameters.

PRODIGY: Enabling In-context Learning Over Graphs

no code implementations21 May 2023 Qian Huang, Hongyu Ren, Peng Chen, Gregor Kržmanc, Daniel Zeng, Percy Liang, Jure Leskovec

In-context learning is the ability of a pretrained model to adapt to novel and diverse downstream tasks by conditioning on prompt examples, without optimizing any parameters.

Knowledge Graphs

Cramer-Rao Lower Bound Analysis for OTFS and OFDM Modulation Systems

no code implementations27 Apr 2023 Bowen Wang, Jianchi Zhu, Xiaoming She, Peng Chen

The orthogonal time frequency space (OTFS) modulation as a promising signal representation attracts growingcinterest for integrated sensing and communication (ISAC), yet its merits over orthogonal frequency division multiplexing (OFDM) remain controversial.

Universal Adversarial Backdoor Attacks to Fool Vertical Federated Learning in Cloud-Edge Collaboration

no code implementations22 Apr 2023 Peng Chen, Xin Du, Zhihui Lu, Hongfeng Chai

To this end, we define a threat model for backdoor attacks in VFL and introduce a universal adversarial backdoor (UAB) attack to poison the predictions of VFL.

Binary Classification Federated Learning

LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields

no code implementations20 Apr 2023 Tang Tao, Longfei Gao, Guangrun Wang, Peng Chen, Dayang Hao, Xiaodan Liang, Mathieu Salzmann, Kaicheng Yu

To evaluate the effectiveness of our approach, we establish an object-centric multi-view LiDAR dataset, dubbed NeRF-MVL.

Novel View Synthesis Style Transfer

Internal Structure Attention Network for Fingerprint Presentation Attack Detection from Optical Coherence Tomography

no code implementations20 Mar 2023 Haohao Sun, Yilong Zhang, Peng Chen, Haixia Wang, Ronghua Liang

As a non-invasive optical imaging technique, optical coherence tomography (OCT) has proven promising for automatic fingerprint recognition system (AFRS) applications.

Domain Generalization

BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection

1 code implementation CVPR 2023 Lei Yang, Kaicheng Yu, Tao Tang, Jun Li, Kun Yuan, Li Wang, Xinyu Zhang, Peng Chen

In essence, instead of predicting the pixel-wise depth, we regress the height to the ground to achieve a distance-agnostic formulation to ease the optimization process of camera-only perception methods.

3D Object Detection Autonomous Driving +1

A General Visual Representation Guided Framework with Global Affinity for Weakly Supervised Salient Object Detection

no code implementations21 Feb 2023 Binwei Xu, Haoran Liang, Weihua Gong, Ronghua Liang, Peng Chen

Fully supervised salient object detection (SOD) methods have made considerable progress in performance, yet these models rely heavily on expensive pixel-wise labels.

object-detection Object Detection +1

Low-Cost Beamforming and DOA Estimation Based on One-Bit Reconfigurable Intelligent Surface

no code implementations15 Nov 2022 Zihan Yang, Peng Chen, Ziyu Guo, Dahai Ni

In this work, we consider the Direction-of-Arrival (DOA) estimation problem in a low-cost architecture where only one antenna as the receiver is aided by a reconfigurable intelligent surface (RIS).

A Joint Framework Towards Class-aware and Class-agnostic Alignment for Few-shot Segmentation

no code implementations2 Nov 2022 Kai Huang, Mingfei Cheng, Yang Wang, Bochen Wang, Ye Xi, Feigege Wang, Peng Chen

Few-shot segmentation (FSS) aims to segment objects of unseen classes given only a few annotated support images.

URGLQ: An Efficient Covariance Matrix Reconstruction Method for Robust Adaptive Beamforming

1 code implementation5 Oct 2022 Tao Luo, Peng Chen, Zhenxin Cao, Le Zheng, Zongxin Wang

The computational complexity of the conventional adaptive beamformer is relatively large, and the performance degrades significantly due to the model mismatch errors and the unwanted signals in received data.

Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning

1 code implementation21 Jun 2022 Thomas O'Leary-Roseberry, Peng Chen, Umberto Villa, Omar Ghattas

We propose derivative-informed neural operators (DINOs), a general family of neural networks to approximate operators as infinite-dimensional mappings from input function spaces to output function spaces or quantities of interest.

Dimensionality Reduction Experimental Design

Optimal Neural Network Approximation of Wasserstein Gradient Direction via Convex Optimization

1 code implementation26 May 2022 Yifei Wang, Peng Chen, Mert Pilanci, Wuchen Li

We study the variational problem in the family of two-layer networks with squared-ReLU activations, towards which we derive a semi-definite programming (SDP) relaxation.

Bayesian Inference

RIS-ADMM: An ADMM-Based Passive and Sparse Sensing Method with Interference Removal

1 code implementation25 May 2022 Peng Chen, Zhimin Chen, Pu Miao, Yun Chen

The reconfigurable intelligent surface (RIS) has been a potential technology for future radar and wireless communication applications.

Scalable Multi-view Clustering with Graph Filtering

1 code implementation18 May 2022 Liang Liu, Peng Chen, Guangchun Luo, Zhao Kang, Yonggang Luo, Sanchu Han

With the explosive growth of multi-source data, multi-view clustering has attracted great attention in recent years.

Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction

no code implementations12 May 2022 Xiao Wang, Aristeidis Tsaris, Debangshu Mukherjee, Mohamed Wahib, Peng Chen, Mark Oxley, Olga Ovchinnikova, Jacob Hinkle

In this paper, we propose a novel image gradient decomposition method that significantly reduces the memory footprint for ptychographic reconstruction by tessellating image gradients and diffraction measurements into tiles.

A RIS-Based Vehicle DOA Estimation Method With Integrated Sensing and Communication System

1 code implementation25 Apr 2022 Zhimin Chen, Peng Chen, Ziyu Guo, Yudong Zhang, Xianbin Wang

A novel atomic norm-based method is proposed to remove the interference signals by sparse reconstruction, which can improve the DOA estimation efficiently.

Learning Video Salient Object Detection Progressively from Unlabeled Videos

1 code implementation5 Apr 2022 Binwei Xu, Haoran Liang, Wentian Ni, Weihua Gong, Ronghua Liang, Peng Chen

Recent deep learning-based video salient object detection (VSOD) has achieved some breakthrough, but these methods rely on expensive annotated videos with pixel-wise annotations, weak annotations, or part of the pixel-wise annotations.

object-detection Optical Flow Estimation +2

Reconfigurable Intelligent Surface Aided Sparse DOA Estimation Method With Non-ULA

no code implementations19 Mar 2022 Peng Chen, Zihan Yang, Zhimin Chen, Ziyu Guo

The direction of arrival (DOA) estimation problem is addressed in this letter.

Efficient DOA Estimation Method for Reconfigurable Intelligent Surfaces Aided UAV Swarm

1 code implementation19 Mar 2022 Peng Chen, Zhimin Chen, Beixiong Zheng, Xianbin Wang

Specifically, considering the position perturbation of UAVs, a new atomic norm-based DOA estimation method is proposed, where an atomic norm is defined with the parameter of the position perturbation.

SDOAnet: An Efficient Deep Learning-Based DOA Estimation Network for Imperfect Array

1 code implementation19 Mar 2022 Peng Chen, Zhimin Chen, Liang Liu, Yun Chen, Xianbin Wang

Simulation results show that the proposed SDOAnet outperforms the existing DOA estimation methods with the effect of the imperfect array.


Mesa: A Memory-saving Training Framework for Transformers

3 code implementations22 Nov 2021 Zizheng Pan, Peng Chen, Haoyu He, Jing Liu, Jianfei Cai, Bohan Zhuang

While Transformers have delivered significant performance improvements, training such networks is extremely memory intensive owing to storing all intermediate activations that are needed for gradient computation during backpropagation, especially for long sequences.


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, infrastructure and other systems.

Decision Making

Efficient Re-parameterization Residual Attention Network For Nonhomogeneous Image Dehazing

1 code implementation12 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 implementation EMNLP 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.

Electroencephalogram (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 +1

An efficient method for goal-oriented linear Bayesian optimal experimental design: Application to optimal sensor placemen

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

Optimal experimental design (OED) plays an important role in the problem of identifying uncertainty with limited experimental data.

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

Single-path Bit Sharing for Automatic Loss-aware Model Compression

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

By jointly training the binary gates in conjunction with network parameters, the compression configurations of each layer can be automatically determined.

Model Compression Network Pruning +1

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

1 code implementation30 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

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 +2

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 Object Detection +2

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.

Dense Captioning

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

2 code implementations7 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.

NMT Style Transfer +2

Off-Grid DOA Estimation Using Sparse Bayesian Learning in MIMO Radar With Unknown Mutual Coupling

no code implementations12 Apr 2018 Peng Chen, Zhenxin Cao, Zhimin Chen, Xianbin Wang

With regard to the DOA estimation performance, the proposed SBLMC method can outperform state-of-the-art methods in the MIMO radar with unknown mutual coupling effect, while keeping the acceptable computational complexity.

Angora: Efficient Fuzzing by Principled Search

2 code implementations4 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 +4

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