b'Peng Chen'

ABS: Automatic Bit Sharing for Model Compression

We present Automatic Bit Sharing (ABS) to automatically search for optim...
01/13/2021 ∙ by Jing Liu, et al. ∙ 0 ∙ share

read it
xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links

Interest has been rising lately towards modeling time-evolving knowledge...
12/31/2020 ∙ by Zhen Han, et al. ∙ 0 ∙ share

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

Many-query problems, arising from uncertainty quantification, Bayesian i...
11/30/2020 ∙ by Thomas O'Leary-Roseberry, et al. ∙ 3 ∙ share

read it
Fully Quantized Image Super-Resolution Networks

With the rising popularity of intelligent mobile devices, it is of great...
11/29/2020 ∙ by Hu Wang, et al. ∙ 0 ∙ share

read it
A sequential sensor selection strategy for hyper-parameterized linear Bayesian inverse problems

We consider optimal sensor placement for hyper-parameterized linear Baye...
11/23/2020 ∙ by Nicole Aretz-Nellesen, et al. ∙ 0 ∙ share

read it
Taylor approximation for chance constrained optimization problems governed by partial differential equations with high-dimensional random parameters

We propose a fast and scalable optimization method to solve chance or pr...
11/19/2020 ∙ by Peng Chen, et al. ∙ 0 ∙ share

read it
ArSMART: An Improved SMART NoC Design Supporting Arbitrary-Turn Transmission

SMART NoC, which transmits unconflicted flits to distant processing elem...
11/18/2020 ∙ by Hui Chen, et al. ∙ 0 ∙ share

read it
DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion

There has recently been increasing interest in learning representations ...
11/08/2020 ∙ by Zhen Han, et al. ∙ 0 ∙ share

read it
Bayesian inference of heterogeneous epidemic models: Application to COVID-19 spread accounting for long-term care facilities

We propose a high dimensional Bayesian inference framework for learning ...
11/02/2020 ∙ by Peng Chen, et al. ∙ 0 ∙ share

read it
A fast and scalable computational framework for large-scale and high-dimensional Bayesian optimal experimental design

We develop a fast and scalable computational framework to solve large-sc...
10/28/2020 ∙ by Keyi Wu, et al. ∙ 0 ∙ share

read it
Matrix Engines for High Performance Computing:A Paragon of Performance or Grasping at Straws?

Matrix engines or units, in different forms and affinities, are becoming...
10/27/2020 ∙ by Jens Domke, et al. ∙ 0 ∙ share

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

Question Aware Open Information Extraction (Question aware Open IE) take...
09/16/2020 ∙ by Martin Kuo, et al. ∙ 6 ∙ share

read it
FATNN: Fast and Accurate Ternary Neural Networks

Ternary Neural Networks (TNNs) have received much attention due to being...
08/12/2020 ∙ by Peng Chen, et al. ∙ 10 ∙ share

read it
AQD: Towards Accurate Quantized Object Detection

Network quantization aims to lower the bitwidth of weights and activatio...
07/14/2020 ∙ by Jing Liu, et al. ∙ 7 ∙ share

read it
Stein variational reduced basis Bayesian inversion

We propose and analyze a Stein variational reduced basis method (SVRB) t...
02/25/2020 ∙ by Peng Chen, et al. ∙ 0 ∙ share

read it
An Efficient Secure Dynamic Skyline Query Model

It is now cost-effective to outsource large dataset and perform query ov...
02/18/2020 ∙ by Weiguo Wang, et al. ∙ 0 ∙ share

read it
SCALE: An Efficient Framework for Secure Dynamic Skyline Query Processing in the Cloud

It is now cost-effective to outsource large dataset and perform query ov...
02/18/2020 ∙ by Weiguo Wang, et al. ∙ 0 ∙ share

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

We present a method for converting tensors into tensor train format base...
02/14/2020 ∙ by Nick Alger, et al. ∙ 0 ∙ share

read it
Projected Stein Variational Gradient Descent

The curse of dimensionality is a critical challenge in Bayesian inferenc...
02/09/2020 ∙ by Peng Chen, et al. ∙ 14 ∙ share

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

We focus on the problem of detecting traffic events in a surveillance sc...
02/01/2020 ∙ by Lijun Yu, et al. ∙ 0 ∙ share

read it
Audio-based automatic mating success prediction of giant pandas

Giant pandas, stereotyped as silent animals, make significantly more voc...
12/24/2019 ∙ by WeiRan Yan, et al. ∙ 0 ∙ share

read it
One-Shot Imitation Filming of Human Motion Videos

Imitation learning has been applied to mimic the operation of a human ca...
12/23/2019 ∙ by Chong Huang, et al. ∙ 3 ∙ share

read it
DLA: Dense-Layer-Analysis for Adversarial Example Detection

In recent years Deep Neural Networks (DNNs) have achieved remarkable res...
11/05/2019 ∙ by Philip Sperl, et al. ∙ 0 ∙ share

read it
Futures-Based Resource Trading and Fair Pricing in Real-Time IoT Networks

Technology advancements on sensing, communications, and computing direct...
09/29/2019 ∙ by Shuran Sheng, et al. ∙ 0 ∙ share

read it
iFDK: A Scalable Framework for Instant High-resolution Image Reconstruction

Computed Tomography (CT) is a widely used technology that requires compu...
09/06/2019 ∙ by Peng Chen, et al. ∙ 0 ∙ share

read it
Learning Deep Representations by Mutual Information for Person Re-identification

Most existing person re-identification (ReID) methods have good feature ...
08/16/2019 ∙ by Peng Chen, et al. ∙ 0 ∙ share

read it
Distinguishing Individual Red Pandas from Their Faces

Individual identification is essential to animal behavior and ecology re...
08/09/2019 ∙ by Qi He, et al. ∙ 3 ∙ share

read it
A Versatile Software Systolic Execution Model for GPU Memory-Bound Kernels

This paper proposes a versatile high-performance execution model, inspir...
07/14/2019 ∙ by Peng Chen, et al. ∙ 0 ∙ share

read it
Matryoshka: fuzzing deeply nested branches

Greybox fuzzing has made impressive progress in recent years, evolving f...
05/29/2019 ∙ by Peng Chen, et al. ∙ 0 ∙ share

read it
Giant Panda Face Recognition Using Small Dataset

Giant panda (panda) is a highly endangered animal. Significant efforts a...
05/27/2019 ∙ by Wojciech Michal Matkowski, et al. ∙ 0 ∙ share

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

The model-based power allocation algorithm has been investigated for dec...
01/22/2019 ∙ by Fan Meng, et al. ∙ 0 ∙ share

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

The model-driven power allocation (PA) algorithms in the wireless cellul...
12/07/2018 ∙ by Fan Meng, et al. ∙ 0 ∙ share

read it
Style Transfer as Unsupervised Machine Translation

Language style transferring rephrases text with specific stylistic attri...
08/23/2018 ∙ by Zhirui Zhang, et al. ∙ 0 ∙ share

read it
Angora: Efficient Fuzzing by Principled Search

Fuzzing is a popular technique for finding software bugs. However, the p...
03/04/2018 ∙ by Peng Chen, et al. ∙ 0 ∙ share

read it
A social Network Analysis of the Operations Research/Industrial Engineering Faculty Hiring Network

We study the Operations Research/Industrial-Systems Engineering (ORIE) f...
02/28/2018 ∙ by Enrique del Castillo, et al. ∙ 0 ∙ share

read it
REDBEE: A Visual-Inertial Drone System for Real-Time Moving Object Detection

Aerial surveillance and monitoring demand both real-time and robust moti...
12/26/2017 ∙ by Chong Huang, et al. ∙ 0 ∙ share

read it
Software Engineering Solutions To Support Vertical Transportation

In this paper we introduce the core results of the project on visualisat...
12/13/2017 ∙ by Alber J. Christianto, et al. ∙ 0 ∙ share

read it

Peng Chen

Featured Co-authors