b'Jinjun Xiong'

research

∙ 12/02/2022

Parallelizing Maximal Clique Enumeration on GPUs

We present a GPU solution for exact maximal clique enumeration (MCE) tha...

Mohammad Almasri, et al. ∙

research

∙ 11/25/2022

A Moral- and Event- Centric Inspection of Gender Bias in Fairy Tales at A Large Scale

Fairy tales are a common resource for young children to learn a language...

Zhixuan Zhou, et al. ∙

research

∙ 11/08/2022

Submission-Aware Reviewer Profiling for Reviewer Recommender System

Assigning qualified, unbiased and interested reviewers to paper submissi...

Omer Anjum, et al. ∙

research

∙ 11/01/2022

Excel Spreadsheet Analyzer

Spreadsheets are widely used in various fields to do large numerical ana...

Amir Nassereldine, et al. ∙

research

∙ 10/17/2022

Extensible Proxy for Efficient NAS

Neural Architecture Search (NAS) has become a de facto approach in the r...

Yuhong Li, et al. ∙

research

∙ 10/11/2022

Can Language Models Be Specific? How?

A good speaker not only needs to be correct, but also has the ability to...

Jie Huang, et al. ∙

research

∙ 10/09/2022

Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT

We propose a novel application of prompting Pre-trained Language Models ...

Bhavya Bhavya, et al. ∙

research

∙ 07/22/2022

HiKonv: Maximizing the Throughput of Quantized Convolution With Novel Bit-wise Management and Computation

Quantization for CNN has shown significant progress with the intention o...

Yao Chen, et al. ∙

research

∙ 07/07/2022

Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling

Graph convolutional networks (GCNs) have recently achieved great empiric...

Hongkang Li, et al. ∙

research

∙ 05/21/2022

DKG: A Descriptive Knowledge Graph for Explaining Relationships between Entities

In this paper, we propose Descriptive Knowledge Graph (DKG) - an open an...

Jie Huang, et al. ∙

research

∙ 05/01/2022

A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction

More and more investors and machine learning models rely on social media...

Yong Xie, et al. ∙

research

∙ 04/01/2022

QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration

The significant success of Deep Neural Networks (DNNs) is highly promote...

Zirui Xu, et al. ∙

research

∙ 03/09/2022

BaM: A Case for Enabling Fine-grain High Throughput GPU-Orchestrated Access to Storage

Accelerators like Graphics Processing Units (GPUs) have been increasingl...

Zaid Qureshi, et al. ∙

research

∙ 01/21/2022

How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis

Self-training, a semi-supervised learning algorithm, leverages a large a...

Shuai Zhang, et al. ∙

research

∙ 12/28/2021

HiKonv: High Throughput Quantized Convolution With Novel Bit-wise Management and Computation

Quantization for Convolutional Neural Network (CNN) has shown significan...

Xinheng Liu, et al. ∙

research

∙ 11/10/2021

Graph Neural Network Training with Data Tiering

Graph Neural Networks (GNNs) have shown success in learning from graph-s...

Seung Won Min, et al. ∙

research

∙ 11/09/2021

MLHarness: A Scalable Benchmarking System for MLCommons

With the society's growing adoption of machine learning (ML) and deep le...

Yen-Hsiang Chang, et al. ∙

research

∙ 10/12/2021

Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks

The lottery ticket hypothesis (LTH) states that learning on a properly p...

Shuai Zhang, et al. ∙

research

∙ 09/08/2021

Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs

With the constant increase of the number of quantum bits (qubits) in the...

Zhepeng Wang, et al. ∙

research

∙ 09/08/2021

Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow

In the noisy intermediate-scale quantum (NISQ) era, one of the key quest...

Zhiding Liang, et al. ∙

research

∙ 08/20/2021

Open Relation Modeling: Learning to Define Relations between Entities

Relations between entities can be represented by different instances, e....

Jie Huang, et al. ∙

research

∙ 08/04/2021

Generic Neural Architecture Search via Regression

Most existing neural architecture search (NAS) algorithms are dedicated ...

Yuhong Li, et al. ∙

research

∙ 06/16/2021

Global Rhythm Style Transfer Without Text Transcriptions

Prosody plays an important role in characterizing the style of a speaker...

Kaizhi Qian, et al. ∙

research

∙ 05/27/2021

Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach

We propose to measure fine-grained domain relevance - the degree that a ...

Jie Huang, et al. ∙

research

∙ 05/19/2021

Heterogeneous Contrastive Learning

With the advent of big data across multiple high-impact applications, we...

Lecheng Zheng, et al. ∙

research

∙ 04/27/2021

K-Clique Counting on GPUs

Counting k-cliques in a graph is an important problem in graph analysis ...

Mohammad Almasri, et al. ∙

research

∙ 03/25/2021

Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design

Artificial intelligence (AI) technologies have dramatically advanced in ...

Cong Hao, et al. ∙

research

∙ 03/04/2021

Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture

Graph Convolutional Networks (GCNs) are increasingly adopted in large-sc...

Seung Won Min, et al. ∙

research

∙ 01/20/2021

PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses

With the increasing adoption of graph neural networks (GNNs) in the mach...

Seung Won Min, et al. ∙

research

∙ 01/19/2021

Safer Illinois and RokWall: Privacy Preserving University Health Apps for COVID-19

COVID-19 has fundamentally disrupted the way we live. Government bodies,...

Vikram Sharma Mailthody, et al. ∙

research

∙ 12/28/2020

TEMPI: An Interposed MPI Library with a Canonical Representation of CUDA-aware Datatypes

MPI derived datatypes are an abstraction that simplifies handling of non...

Carl Pearson, et al. ∙

research

∙ 12/18/2020

When Machine Learning Meets Quantum Computers: A Case Study

Along with the development of AI democratization, the machine learning a...

Weiwen Jiang, et al. ∙

research

∙ 11/23/2020

Interpretable Visual Reasoning via Induced Symbolic Space

We study the problem of concept induction in visual reasoning, i.e., ide...

Zhonghao Wang, et al. ∙

research

∙ 11/21/2020

Efficient Neural Network Implementation with Quadratic Neuron

Previous works proved that the combination of the linear neuron network ...

Zirui Xu, et al. ∙

research

∙ 10/14/2020

Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices

High quality AI solutions require joint optimization of AI algorithms, s...

Cong Hao, et al. ∙

research

∙ 10/05/2020

Exploring Semantic Capacity of Terms

We introduce and study semantic capacity of terms. For example, the sema...

Jie Huang, et al. ∙

research

∙ 08/28/2020

DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator

Existing FPGA-based DNN accelerators typically fall into two design para...

Xiaofan Zhang, et al. ∙

research

∙ 08/24/2020

Tearing Down the Memory Wall

We present a vision for the Erudite architecture that redefines the comp...

Zaid Qureshi, et al. ∙

research

∙ 07/31/2020

Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases

When the training data are maliciously tampered, the predictions of the ...

Ren Wang, et al. ∙

research

∙ 07/28/2020

At-Scale Sparse Deep Neural Network Inference with Efficient GPU Implementation

This paper presents GPU performance optimization and scaling results for...

Mert Hidayetoglu, et al. ∙

research

∙ 07/18/2020

ICA-UNet: ICA Inspired Statistical UNet for Real-time 3D Cardiac Cine MRI Segmentation

Real-time cine magnetic resonance imaging (MRI) plays an increasingly im...

Tianchen Wang, et al. ∙

research

∙ 06/26/2020

Can Quantum Computers Learn Like Classical Computers? A Co-Design Framework for Machine Learning and Quantum Circuits

Despite the pursuit of quantum supremacy in various applications, the po...

Weiwen Jiang, et al. ∙

research

∙ 06/25/2020

Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case

Although graph neural networks (GNNs) have made great progress recently ...

Shuai Zhang, et al. ∙

research

∙ 06/12/2020

EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal In GPUs

Modern analytics and recommendation systems are increasingly based on gr...

Seung Won Min, et al. ∙

research

∙ 05/06/2020

A Multi-Perspective Architecture for Semantic Code Search

The ability to match pieces of code to their corresponding natural langu...

Rajarshi Haldar, et al. ∙

research

∙ 05/06/2020

EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions

High quality AI solutions require joint optimization of AI algorithms an...

Yuhong Li, et al. ∙

research

∙ 04/02/2020

Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation

Learning segmentation from synthetic data and adapting to real data can ...

Zhonghao Wang, et al. ∙

research

∙ 03/18/2020

Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation

We consider the problem of unsupervised domain adaptation for semantic s...

Zhonghao Wang, et al. ∙

research

∙ 02/27/2020

Multi-Cycle-Consistent Adversarial Networks for CT Image Denoising

CT image denoising can be treated as an image-to-image translation task ...

Jinglan Liu, et al. ∙

research

∙ 02/26/2020

DLSpec: A Deep Learning Task Exchange Specification

Deep Learning (DL) innovations are being introduced at a rapid pace. How...

Abdul Dakkak, et al. ∙

Jinjun Xiong

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