Jinjun Xiong

is this you? claim profile

0 followers
ibm

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...
01/20/2021 ∙ by Seung Won Min, et al. ∙ 46 ∙ share

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

COVID-19 has fundamentally disrupted the way we live. Government bodies,...
01/19/2021 ∙ by Vikram Sharma Mailthody, et al. ∙ 0 ∙ share

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

MPI derived datatypes are an abstraction that simplifies handling of non...
12/28/2020 ∙ by Carl Pearson, et al. ∙ 0 ∙ share

read it
When Machine Learning Meets Quantum Computers: A Case Study

Along with the development of AI democratization, the machine learning a...
12/18/2020 ∙ by Weiwen Jiang, et al. ∙ 106 ∙ share

read it
Interpretable Visual Reasoning via Induced Symbolic Space

We study the problem of concept induction in visual reasoning, i.e., ide...
11/23/2020 ∙ by Zhonghao Wang, et al. ∙ 2 ∙ share

read it
Efficient Neural Network Implementation with Quadratic Neuron

Previous works proved that the combination of the linear neuron network ...
11/21/2020 ∙ by Zirui Xu, et al. ∙ 0 ∙ share

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

High quality AI solutions require joint optimization of AI algorithms, s...
10/14/2020 ∙ by Cong Hao, et al. ∙ 0 ∙ share

read it
Exploring Semantic Capacity of Terms

We introduce and study semantic capacity of terms. For example, the sema...
10/05/2020 ∙ by Jie Huang, et al. ∙ 4 ∙ share

read it
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...
08/28/2020 ∙ by Xiaofan Zhang, et al. ∙ 0 ∙ share

read it
Tearing Down the Memory Wall

We present a vision for the Erudite architecture that redefines the comp...
08/24/2020 ∙ by Zaid Qureshi, et al. ∙ 0 ∙ share

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

When the training data are maliciously tampered, the predictions of the ...
07/31/2020 ∙ by Ren Wang, et al. ∙ 11 ∙ share

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

This paper presents GPU performance optimization and scaling results for...
07/28/2020 ∙ by Mert Hidayetoglu, et al. ∙ 0 ∙ share

read it
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...
07/18/2020 ∙ by Tianchen Wang, et al. ∙ 0 ∙ share

read it
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...
06/26/2020 ∙ by Weiwen Jiang, et al. ∙ 0 ∙ share

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

Although graph neural networks (GNNs) have made great progress recently ...
06/25/2020 ∙ by Shuai Zhang, et al. ∙ 23 ∙ share

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

Modern analytics and recommendation systems are increasingly based on gr...
06/12/2020 ∙ by Seung Won Min, et al. ∙ 0 ∙ share

read it
A Multi-Perspective Architecture for Semantic Code Search

The ability to match pieces of code to their corresponding natural langu...
05/06/2020 ∙ by Rajarshi Haldar, et al. ∙ 0 ∙ share

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

High quality AI solutions require joint optimization of AI algorithms an...
05/06/2020 ∙ by Yuhong Li, et al. ∙ 0 ∙ share

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

Learning segmentation from synthetic data and adapting to real data can ...
04/02/2020 ∙ by Zhonghao Wang, et al. ∙ 3 ∙ share

read it
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...
03/18/2020 ∙ by Zhonghao Wang, et al. ∙ 2 ∙ share

read it
Multi-Cycle-Consistent Adversarial Networks for CT Image Denoising

CT image denoising can be treated as an image-to-image translation task ...
02/27/2020 ∙ by Jinglan Liu, et al. ∙ 0 ∙ share

read it
DLSpec: A Deep Learning Task Exchange Specification

Deep Learning (DL) innovations are being introduced at a rapid pace. How...
02/26/2020 ∙ by Abdul Dakkak, et al. ∙ 0 ∙ share

read it
MLModelScope: A Distributed Platform for Model Evaluation and Benchmarking at Scale

Machine Learning (ML) and Deep Learning (DL) innovations are being intro...
02/19/2020 ∙ by Abdul Dakkak, et al. ∙ 15 ∙ share

read it
On Interpretability of Artificial Neural Networks

Deep learning has achieved great successes in many important areas to de...
01/08/2020 ∙ by Fenglei Fan, et al. ∙ 76 ∙ share

read it
Tensor Recovery from Noisy and Multi-Level Quantized Measurements

Higher-order tensors can represent scores in a rating system, frames in ...
12/05/2019 ∙ by Ren Wang, et al. ∙ 0 ∙ share

read it
ELFISH: Resource-Aware Federated Learning on Heterogeneous Edge Devices

In this work, we propose ELFISH - a resource-aware federated learning fr...
12/03/2019 ∙ by Zirui Xu, et al. ∙ 0 ∙ share

read it
Enabling real-time multi-messenger astrophysics discoveries with deep learning

Multi-messenger astrophysics is a fast-growing, interdisciplinary field ...
11/26/2019 ∙ by E. A. Huerta, et al. ∙ 0 ∙ share

read it
The Design and Implementation of a Scalable DL Benchmarking Platform

The current Deep Learning (DL) landscape is fast-paced and is rife with ...
11/19/2019 ∙ by Cheng Li, et al. ∙ 55 ∙ share

read it
DLBricks: Composable Benchmark Generation toReduce Deep Learning Benchmarking Effort on CPUs

The past few years have seen a surge of applying Deep Learning (DL) mode...
11/18/2019 ∙ by Cheng Li, et al. ∙ 23 ∙ share

read it
DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs

The past few years have seen a surge of applying Deep Learning (DL) mode...
11/18/2019 ∙ by Cheng Li, et al. ∙ 11 ∙ share

read it
DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs (Extended)

The past few years have seen a surge of applying Deep Learning (DL) mode...
11/18/2019 ∙ by Cheng Li, et al. ∙ 0 ∙ share

read it
NAIS: Neural Architecture and Implementation Search and its Applications in Autonomous Driving

The rapidly growing demands for powerful AI algorithms in many applicati...
11/18/2019 ∙ by Cong Hao, et al. ∙ 24 ∙ share

read it
Benanza: Automatic μBenchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs

As Deep Learning (DL) models have been increasingly used in latency-sens...
11/16/2019 ∙ by Cheng Li, et al. ∙ 12 ∙ share

read it
Benanza: Automatic uBenchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs

As Deep Learning (DL) models have been increasingly used in latency-sens...
11/16/2019 ∙ by Cheng Li, et al. ∙ 5 ∙ share

read it
PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space

Finding the right reviewers to assess the quality of conference submissi...
09/25/2019 ∙ by Omer Anjum, et al. ∙ 0 ∙ share

read it
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems

Developing object detection and tracking on resource-constrained embedde...
09/20/2019 ∙ by Xiaofan Zhang, et al. ∙ 41 ∙ share

read it
MSU-Net: Multiscale Statistical U-Net for Real-time 3D Cardiac MRI Video Segmentation

Cardiac magnetic resonance imaging (MRI) is an essential tool for MRI-gu...
09/15/2019 ∙ by Tianchen Wang, et al. ∙ 0 ∙ share

read it
SPGNet: Semantic Prediction Guidance for Scene Parsing

Multi-scale context module and single-stage encoder-decoder structure ar...
08/26/2019 ∙ by Bowen Cheng, et al. ∙ 16 ∙ share

read it
Across-Stack Profiling and Characterization of Machine Learning Models on GPUs

The world sees a proliferation of machine learning/deep learning (ML) mo...
08/19/2019 ∙ by Cheng Li, et al. ∙ 2 ∙ share

read it
XSP: Across-Stack Profiling and Analysis of Machine Learning Models on GPUs

There has been a rapid proliferation of machine learning/deep learning (...
08/19/2019 ∙ by Cheng Li, et al. ∙ 0 ∙ share

read it
Analysis and Optimization of I/O Cache Coherency Strategies for SoC-FPGA Device

Unlike traditional PCIe-based FPGA accelerators, heterogeneous SoC-FPGA ...
08/04/2019 ∙ by Seung Won Min, et al. ∙ 0 ∙ share

read it
SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection

Developing artificial intelligence (AI) at the edge is always challengin...
06/25/2019 ∙ by Xiaofan Zhang, et al. ∙ 1 ∙ share

read it
A Retrospective Recount of Computer Architecture Research with a Data-Driven Study of Over Four Decades of ISCA Publications

This study began with a research project, called DISCvR, conducted at th...
06/22/2019 ∙ by Omer Anjum, et al. ∙ 0 ∙ share

read it
A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices

Developing deep learning models for resource-constrained Internet-of-Thi...
05/20/2019 ∙ by Xiaofan Zhang, et al. ∙ 0 ∙ share

read it
Challenges and Pitfalls of Reproducing Machine Learning Artifacts

An increasingly complex and diverse collection of Machine Learning(ML) m...
04/29/2019 ∙ by Cheng Li, et al. ∙ 6 ∙ share

read it
Challenges and Pitfalls of Machine Learning Evaluation and Benchmarking

An increasingly complex and diverse collection of Machine Learning (ML) ...
04/29/2019 ∙ by Cheng Li, et al. ∙ 0 ∙ share

read it
FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge

While embedded FPGAs are attractive platforms for DNN acceleration on ed...
04/09/2019 ∙ by Cong Hao, et al. ∙ 0 ∙ share

read it
Document Similarity for Texts of Varying Lengths via Hidden Topics

Measuring similarity between texts is an important task for several appl...
03/26/2019 ∙ by Hongyu Gong, et al. ∙ 0 ∙ share

read it
Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus

Text style transfer rephrases a text from a source style (e.g., informal...
03/26/2019 ∙ by Hongyu Gong, et al. ∙ 0 ∙ share

read it
SCNN: A General Distribution based Statistical Convolutional Neural Network with Application to Video Object Detection

Various convolutional neural networks (CNNs) were developed recently tha...
03/15/2019 ∙ by Tianchen Wang, et al. ∙ 0 ∙ share

read it

Jinjun Xiong

Featured Co-authors