b'Peng Chen'

research

∙ 09/19/2023

Flip: Data-Centric Edge CGRA Accelerator

Coarse-Grained Reconfigurable Arrays (CGRA) are promising edge accelerat...

0 Dan Wu, et al. ∙

research

∙ 09/07/2023

HOPPER: Interpretative Fuzzing for Libraries

Despite the fact that the state-of-the-art fuzzers can generate inputs e...

0 Peng Chen, et al. ∙

research

∙ 08/25/2023

Using Adamic-Adar Index Algorithm to Predict Volunteer Collaboration: Less is More

Social networks exhibit a complex graph-like structure due to the uncert...

0 Chao Wu, et al. ∙

research

∙ 06/08/2023

Bayesian model calibration for diblock copolymer thin film self-assembly using power spectrum of microscopy data and machine learning surrogate

Identifying parameters of computational models from experimental data, o...

0 Lianghao Cao, et al. ∙

research

∙ 06/06/2023

Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt)

General Purpose Graphics Processing Units (GPGPU) are used in most of th...

0 Lingqi Zhang, et al. ∙

research

∙ 05/31/2023

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

We propose a novel machine learning framework for solving optimization p...

0 Dingcheng Luo, et al. ∙

research

∙ 05/21/2023

PRODIGY: Enabling In-context Learning Over Graphs

In-context learning is the ability of a pretrained model to adapt to nov...

0 Qian Huang, et al. ∙

research

∙ 05/12/2023

Revisiting Temporal Blocking Stencil Optimizations

Iterative stencils are used widely across the spectrum of High Performan...

0 Lingqi Zhang, et al. ∙

research

∙ 04/22/2023

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

Vertical federated learning (VFL) is a cloud-edge collaboration paradigm...

0 Peng Chen, et al. ∙

research

∙ 04/20/2023

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

We introduce a new task, novel view synthesis for LiDAR sensors. While t...

0 Tang Tao, et al. ∙

research

∙ 03/20/2023

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

As a non-invasive optical imaging technique, optical coherence tomograph...

0 Haohao Sun, et al. ∙

research

∙ 03/15/2023

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

While most recent autonomous driving system focuses on developing percep...

0 Lei Yang, et al. ∙

research

∙ 03/13/2023

DEHRFormer: Real-time Transformer for Depth Estimation and Haze Removal from Varicolored Haze Scenes

Varicolored haze caused by chromatic casts poses haze removal and depth ...

0 Sixiang Chen, et al. ∙

research

∙ 02/21/2023

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

Fully supervised salient object detection (SOD) methods have made consid...

0 Binwei Xu, et al. ∙

research

∙ 01/27/2023

A Greedy Sensor Selection Algorithm for Hyperparameterized Linear Bayesian Inverse Problems

We consider optimal sensor placement for a family of linear Bayesian inv...

0 Nicole Aretz, et al. ∙

research

∙ 12/07/2022

Artificial Intelligence Security Competition (AISC)

The security of artificial intelligence (AI) is an important research ar...

12 Yinpeng Dong, et al. ∙

research

∙ 12/04/2022

Synthesize Boundaries: A Boundary-aware Self-consistent Framework for Weakly Supervised Salient Object Detection

Fully supervised salient object detection (SOD) has made considerable pr...

0 Binwei Xu, et al. ∙

research

∙ 11/18/2022

α DARTS Once More: Enhancing Differentiable Architecture Search by Masked Image Modeling

Differentiable architecture search (DARTS) has been a mainstream directi...

0 Guo Bicheng, Brandon, et al. ∙

research

∙ 11/02/2022

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

Few-shot segmentation (FSS) aims to segment objects of unseen classes gi...

0 Kai Huang, et al. ∙

research

∙ 09/06/2022

CausalRCA: Causal Inference based Precise Fine-grained Root Cause Localization for Microservice Applications

For microservice applications with detected performance anomalies, local...

0 Ruyue Xin, et al. ∙

research

∙ 09/06/2022

Optimal design of photonic nanojets under uncertainty

Photonic nanojets (PNJs) have promising applications as optical probes i...

0 Amal Mohammed A Alghamdi, et al. ∙

research

∙ 09/05/2022

FIRED: a fine-grained robust performance diagnosis framework for cloud applications

To run a cloud application with the required service quality, operators ...

0 Ruyue Xin, et al. ∙

research

∙ 08/02/2022

Optimal design of chemoepitaxial guideposts for directed self-assembly of block copolymer systems using an inexact-Newton algorithm

Directed self-assembly (DSA) of block-copolymers (BCPs) is one of the mo...

0 Dingcheng Luo, et al. ∙

research

∙ 06/21/2022

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

Neural operators have gained significant attention recently due to their...

0 Thomas O'Leary-Roseberry, et al. ∙

research

∙ 05/25/2022

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

The reconfigurable intelligent surface (RIS) has been a potential techno...

0 Peng Chen, et al. ∙

research

∙ 05/12/2022

Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction

Ptychography is a popular microscopic imaging modality for many scientif...

0 Xiao Wang, et al. ∙

research

∙ 05/06/2022

A Rapid Power-iterative Root-MUSIC Estimator for Massive/Ultra-massive MIMO Receiver

For a passive direction of arrival (DOA) measurement system using massiv...

0 Qijuan Jie, et al. ∙

research

∙ 04/05/2022

Persistent Kernels for Iterative Memory-bound GPU Applications

Iterative memory-bound solvers commonly occur in HPC codes. Typical GPU ...

0 Lingqi Zhang, et al. ∙

research

∙ 04/05/2022

Learning Video Salient Object Detection Progressively from Unlabeled Videos

Recent deep learning-based video salient object detection (VSOD) has ach...

0 Binwei Xu, et al. ∙

research

∙ 01/22/2022

Manifold Optimization Based Multi-user Rate Maximization Aided by Intelligent Reflecting Surface

In this work, two problems associated with a downlink multi-user system ...

0 Liyue Zhang, et al. ∙

research

∙ 01/20/2022

Derivative-informed projected neural network for large-scale Bayesian optimal experimental design

We address the solution of large-scale Bayesian optimal experimental des...

0 Keyi Wu, et al. ∙

research

∙ 11/22/2021

Mesa: A Memory-saving Training Framework for Transformers

There has been an explosion of interest in designing high-performance Tr...

15 Zizheng Pan, et al. ∙

research

∙ 10/14/2021

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

Modern software systems and products increasingly rely on machine learni...

0 Igor L. Markov, et al. ∙

research

∙ 09/12/2021

Efficient Re-parameterization Residual Attention Network For Nonhomogeneous Image Dehazing

This paper proposes an end-to-end Efficient Re-parameterizationResidual ...

12 Tian Ye, et al. ∙

research

∙ 09/06/2021

PermuteFormer: Efficient Relative Position Encoding for Long Sequences

A recent variation of Transformer, Performer, scales Transformer to long...

0 Peng Chen, et al. ∙

research

∙ 07/30/2021

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

The electroencephalography (EEG) signal is a non-stationary, stochastic,...

0 Xiangyun Li, et al. ∙

research

∙ 05/08/2021

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

End-to-end text-spotting, which aims to integrate detection and recognit...

0 Yuliang Liu, et al. ∙

research

∙ 04/27/2021

Performance Portable Back-projection Algorithms on CPUs: Agnostic Data Locality and Vectorization Optimizations

Computed Tomography (CT) is a key 3D imaging technology that fundamental...

0 Peng Chen, et al. ∙

research

∙ 04/07/2021

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

Face reenactment is a challenging task, as it is difficult to maintain a...

0 Jin Liu, et al. ∙

research

∙ 04/05/2021

Robust optimization Design of a New Combined Median Barrier Based on Taguchi method and Grey Relational Analysis

Accidents that vehicles cross median and enter opposite lane happen freq...

0 Yupeng Huang, et al. ∙

research

∙ 03/01/2021

Towards Enhancing Database Education: Natural Language Generation Meets Query Execution Plans

The database systems course is offered as part of an undergraduate compu...

0 Weiguo Wang, et al. ∙

research

∙ 02/12/2021

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

Optimal experimental design (OED) is a principled framework for maximizi...

0 Keyi Wu, et al. ∙

research

∙ 01/13/2021

ABS: Automatic Bit Sharing for Model Compression

We present Automatic Bit Sharing (ABS) to automatically search for optim...

0 Jing Liu, et al. ∙

research

∙ 12/31/2020

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

Interest has been rising lately towards modeling time-evolving knowledge...

0 Zhen Han, et al. ∙

research

∙ 11/30/2020

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

Many-query problems, arising from uncertainty quantification, Bayesian i...

3 Thomas O'Leary-Roseberry, et al. ∙

research

∙ 11/29/2020

Fully Quantized Image Super-Resolution Networks

With the rising popularity of intelligent mobile devices, it is of great...

0 Hu Wang, et al. ∙

research

∙ 11/23/2020

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

We consider optimal sensor placement for hyper-parameterized linear Baye...

0 Nicole Aretz-Nellesen, et al. ∙

research

∙ 11/19/2020

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...

0 Peng Chen, et al. ∙

research

∙ 11/18/2020

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

SMART NoC, which transmits unconflicted flits to distant processing elem...

0 Hui Chen, et al. ∙

research

∙ 11/08/2020

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

There has recently been increasing interest in learning representations ...

0 Zhen Han, et al. ∙

Peng Chen

Featured Co-authors