b'Yuan Xie'

research

∙ 07/28/2022

Predicting the Output Structure of Sparse Matrix Multiplication with Sampled Compression Ratio

Sparse general matrix multiplication (SpGEMM) is a fundamental building ...

Zhaoyang Du, et al. ∙

research

∙ 07/19/2022

MoEC: Mixture of Expert Clusters

Sparsely Mixture of Experts (MoE) has received great interest due to its...

Yuan Xie, et al. ∙

research

∙ 07/15/2022

Multi-node Acceleration for Large-scale GCNs

Limited by the memory capacity and computation power, singe-node graph c...

Gongjian Sun, et al. ∙

research

∙ 06/20/2022

Variational Distillation for Multi-View Learning

Information Bottleneck (IB) based multi-view learning provides an inform...

Xudong Tian, et al. ∙

research

∙ 06/15/2022

Cost-Aware Exploration for Chiplet-Based Architecture with Advanced Packaging Technologies

The chiplet-based System-in-Package (SiP) technology enables more design...

Tianqi Tang, et al. ∙

research

∙ 06/15/2022

OpSparse: a Highly Optimized Framework for Sparse General Matrix Multiplication on GPUs

Sparse general matrix multiplication (SpGEMM) is an important and expens...

Zhaoyang Du, et al. ∙

research

∙ 06/14/2022

Accelerating CPU-based Sparse General Matrix Multiplication with Binary Row Merging

Sparse general matrix multiplication (SpGEMM) is a fundamental building ...

Zhaoyang Du, et al. ∙

research

∙ 06/04/2022

The Spike Gating Flow: A Hierarchical Structure Based Spiking Neural Network for Online Gesture Recognition

Action recognition is an exciting research avenue for artificial intelli...

Zihao Zhao, et al. ∙

research

∙ 06/01/2022

Task-Specific Expert Pruning for Sparse Mixture-of-Experts

The sparse Mixture-of-Experts (MoE) model is powerful for large-scale pr...

Tianyu Chen, et al. ∙

research

∙ 04/12/2022

Toward Robust Spiking Neural Network Against Adversarial Perturbation

As spiking neural networks (SNNs) are deployed increasingly in real-worl...

Ling Liang, et al. ∙

research

∙ 03/31/2022

LAKe-Net: Topology-Aware Point Cloud Completion by Localizing Aligned Keypoints

Point cloud completion aims at completing geometric and topological shap...

Junshu Tang, et al. ∙

research

∙ 03/09/2022

Shfl-BW: Accelerating Deep Neural Network Inference with Tensor-Core Aware Weight Pruning

Weight pruning in deep neural networks (DNNs) can reduce storage and com...

Guyue Huang, et al. ∙

research

∙ 02/28/2022

Dynamic N:M Fine-grained Structured Sparse Attention Mechanism

Transformers are becoming the mainstream solutions for various tasks lik...

Zhaodong Chen, et al. ∙

research

∙ 02/23/2022

Alleviating Datapath Conflicts and Design Centralization in Graph Analytics Acceleration

Previous graph analytics accelerators have achieved great improvement on...

Haiyang Lin, et al. ∙

research

∙ 02/10/2022

Survey on Graph Neural Network Acceleration: An Algorithmic Perspective

Graph neural networks (GNNs) have been a hot spot of recent research and...

Xin Liu, et al. ∙

research

∙ 01/20/2022

Hybrid Graph Models for Logic Optimization via Spatio-Temporal Information

Despite the stride made by machine learning (ML) based performance model...

Nan Wu, et al. ∙

research

∙ 01/18/2022

High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing

Agile hardware development requires fast and accurate circuit quality ev...

Nan Wu, et al. ∙

research

∙ 12/21/2021

Structured Semantic Transfer for Multi-Label Recognition with Partial Labels

Multi-label image recognition is a fundamental yet practical task becaus...

Tianshui Chen, et al. ∙

research

∙ 12/21/2021

Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting

Deep neural networks (DNNs) have shown to provide superb performance in ...

Minghai Qin, et al. ∙

research

∙ 12/20/2021

Load-balanced Gather-scatter Patterns for Sparse Deep Neural Networks

Deep neural networks (DNNs) have been proven to be effective in solving ...

Fei Sun, et al. ∙

research

∙ 11/26/2021

Towards Efficient Ansatz Architecture for Variational Quantum Algorithms

Variational quantum algorithms are expected to demonstrate the advantage...

Anbang Wu, et al. ∙

research

∙ 11/26/2021

Mapping Surface Code to Superconducting Quantum Processors

In this paper, we formally describe the three challenges of mapping surf...

Anbang Wu, et al. ∙

research

∙ 11/26/2021

QECV: Quantum Error Correction Verification

Quantum Error Correction (QEC) is essential for fault-tolerant quantum c...

Anbang Wu, et al. ∙

research

∙ 11/25/2021

Mitigating Noise-Induced Gradient Vanishing in Variational Quantum Algorithm Training

Variational quantum algorithms are expected to demonstrate the advantage...

Anbang Wu, et al. ∙

research

∙ 11/25/2021

Exploring Versatile Prior for Human Motion via Motion Frequency Guidance

Prior plays an important role in providing the plausible constraint on h...

Jiachen Xu, et al. ∙

research

∙ 10/21/2021

Transformer Acceleration with Dynamic Sparse Attention

Transformers are the mainstream of NLP applications and are becoming inc...

Liu Liu, et al. ∙

research

∙ 09/13/2021

Program-to-Circuit: Exploiting GNNs for Program Representation and Circuit Translation

Circuit design is complicated and requires extensive domain-specific exp...

Nan Wu, et al. ∙

research

∙ 07/25/2021

H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks

Although spiking neural networks (SNNs) take benefits from the bio-plaus...

Ling Liang, et al. ∙

research

∙ 06/30/2021

Dual Reweighting Domain Generalization for Face Presentation Attack Detection

Face anti-spoofing approaches based on domain generalization (DG) have d...

Shubao Liu, et al. ∙

research

∙ 06/30/2021

Efficient Sparse Matrix Kernels based on Adaptive Workload-Balancing and Parallel-Reduction

Sparse matrix-vector and matrix-matrix multiplication (SpMV and SpMM) ar...

Guyue Huang, et al. ∙

research

∙ 06/18/2021

Novelty Detection via Contrastive Learning with Negative Data Augmentation

Novelty detection is the process of determining whether a query example ...

Chengwei Chen, et al. ∙

research

∙ 05/25/2021

Towards Compact Single Image Super-Resolution via Contrastive Self-distillation

Convolutional neural networks (CNNs) are highly successful for super-res...

Yanbo Wang, et al. ∙

research

∙ 05/21/2021

Omni-supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning

Hidden features in neural network usually fail to learn informative repr...

Jingyu Gong, et al. ∙

research

∙ 04/21/2021

Discrete-continuous Action Space Policy Gradient-based Attention for Image-Text Matching

Image-text matching is an important multi-modal task with massive applic...

Shiyang Yan, et al. ∙

research

∙ 04/19/2021

Contrastive Learning for Compact Single Image Dehazing

Single image dehazing is a challenging ill-posed problem due to the seve...

Haiyan Wu, et al. ∙

research

∙ 04/07/2021

Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification

The Information Bottleneck (IB) provides an information theoretic princi...

Xudong Tian, et al. ∙

research

∙ 03/11/2021

MPU: Towards Bandwidth-abundant SIMT Processor via Near-bank Computing

With the growing number of data-intensive workloads, GPU, which is the s...

Xinfeng Xie, et al. ∙

research

∙ 03/02/2021

A Case for 3D Integrated System Design for Neuromorphic Computing AI Applications

Over the last decade, artificial intelligence has found many application...

Eren Kurshan, et al. ∙

research

∙ 02/16/2021

IronMan: GNN-assisted Design Space Exploration in High-Level Synthesis via Reinforcement Learning

Despite the great success of High-Level Synthesis (HLS) tools, we observ...

Nan Wu, et al. ∙

research

∙ 02/16/2021

A Survey of Machine Learning for Computer Architecture and Systems

It has been a long time that computer architecture and systems are optim...

Nan Wu, et al. ∙

research

∙ 01/07/2021

Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds

Boundary information plays a significant role in 2D image segmentation, ...

Jingyu Gong, et al. ∙

research

∙ 12/29/2020

AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition

Recognizing human emotion/expressions automatically is quite an expected...

Tao Pu, et al. ∙

research

∙ 11/30/2020

Training and Inference for Integer-Based Semantic Segmentation Network

Semantic segmentation has been a major topic in research and industry in...

Jiayi Yang, et al. ∙

research

∙ 09/26/2020

Rubik: A Hierarchical Architecture for Efficient Graph Learning

Graph convolutional network (GCN) emerges as a promising direction to le...

Xiaobing Chen, et al. ∙

research

∙ 08/09/2020

SEALing Neural Network Models in Secure Deep Learning Accelerators

Deep learning (DL) accelerators are increasingly deployed on edge device...

Pengfei Zuo, et al. ∙

research

∙ 08/03/2020

Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition

Data inconsistency and bias are inevitable among different facial expres...

Yuan Xie, et al. ∙

research

∙ 07/09/2020

Brain Tumor Anomaly Detection via Latent Regularized Adversarial Network

With the development of medical imaging technology, medical images have ...

Nan Wang, et al. ∙

research

∙ 06/11/2020

GNNAdvisor: An Efficient Runtime System for GNN Acceleration on GPUs

As the emerging trend of the graph-based deep learning, Graph Neural Net...

Yuke Wang, et al. ∙

research

∙ 05/07/2020

SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation

We present SmartExchange, an algorithm-hardware co-design framework to t...

fcq, et al. ∙

research

∙ 05/06/2020

NTIRE 2020 Challenge on Image Demoireing: Methods and Results

This paper reviews the Challenge on Image Demoireing that was part of th...

Shanxin Yuan, et al. ∙

Yuan Xie

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