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08/10/2023
Cross-Domain Product Representation Learning for Rich-Content E-Commerce
The proliferation of short video and live-streaming platforms has revolu...
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08/09/2023
Cross-view Semantic Alignment for Livestreaming Product Recognition
Live commerce is the act of selling products online through live streami...
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07/23/2023
MARS: Exploiting Multi-Level Parallelism for DNN Workloads on Adaptive Multi-Accelerator Systems
Along with the fast evolution of deep neural networks, the hardware syst...
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06/19/2023
DFlow: Efficient Dataflow-based Invocation Workflow Execution for Function-as-a-Service
The Serverless Computing is becoming increasingly popular due to its eas...
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05/27/2023
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs
Graph neural networks (GNNs) are powerful tools for exploring and learni...
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01/14/2023
Async-fork: Mitigating Query Latency Spikes Incurred by the Fork-based Snapshot Mechanism from the OS Level
In-memory key-value stores (IMKVSes) serve many online applications beca...
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07/11/2022
DCCF: Deep Comprehensible Color Filter Learning Framework for High-Resolution Image Harmonization
Image color harmonization algorithm aims to automatically match the colo...
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06/29/2022
SALO: An Efficient Spatial Accelerator Enabling Hybrid Sparse Attention Mechanisms for Long Sequences
The attention mechanisms of transformers effectively extract pertinent i...
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05/17/2022
Multilayer Perceptron Based Stress Evolution Analysis under DC Current Stressing for Multi-segment Wires
Electromigration (EM) is one of the major concerns in the reliability an...
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01/17/2022
VELTAIR: Towards High-Performance Multi-tenant Deep Learning Services via Adaptive Compilation and Scheduling
Deep learning (DL) models have achieved great success in many applicatio...
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12/24/2021
The Serverless Computing Survey: A Technical Primer for Design Architecture
The development of cloud infrastructures inspires the emergence of cloud...
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10/18/2021
Boosting Image Outpainting with Semantic Layout Prediction
The objective of image outpainting is to extend image current border and...
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10/08/2021
Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators
Many of today's deep neural network accelerators, e.g., Google's TPU and...
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09/15/2021
A Fast Method for Steady-State Memristor Crossbar Array Circuit Simulation
In this work we propose an effective preconditioning technique to accele...
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09/08/2021
Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection
Federated learning (FL) is a distributed machine learning paradigm that ...
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08/25/2021
Pagurus: Eliminating Cold Startup in Serverless Computing with Inter-Action Container Sharing
Serverless computing provides fine-grain resource sharing between Cloud ...
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02/15/2021
FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation
Learning convolutional neural networks (CNNs) with low bitwidth is chall...
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02/03/2021
Federated Learning on Non-IID Data Silos: An Experimental Study
Machine learning services have been emerging in many data-intensive appl...
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12/10/2020
Edge Computing Assisted Autonomous Flight for UAV: Synergies between Vision and Communications
Autonomous flight for UAVs relies on visual information for avoiding obs...
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11/11/2020
DLFusion: An Auto-Tuning Compiler for Layer Fusion on Deep Neural Network Accelerator
Many hardware vendors have introduced specialized deep neural networks (...
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11/02/2020
How Far Does BERT Look At:Distance-based Clustering and Analysis of BERT's Attention
Recent research on the multi-head attention mechanism, especially that i...
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05/25/2020
Improving Web Content Blocking With Event-Loop-Turn Granularity JavaScript Signatures
Content blocking is an important part of a performant, user-serving, pri...
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05/05/2020
Towards QoS-Aware and Resource-Efficient GPU Microservices Based on Spatial Multitasking GPUs In Datacenters
While prior researches focus on CPU-based microservices, they are not ap...
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02/18/2020
Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration
The research interest in specialized hardware accelerators for deep neur...
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01/29/2020
Topology Virtualization and Dynamics Shielding Method for LEO Satellite Networks
Virtual Node (VN) method is widely adopted to handle satellite network t...
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12/27/2019
URSA: Precise Capacity Planning and Contention-aware Scheduling for Public Clouds
Database platform-as-a-service (dbPaaS) is developing rapidly and a larg...
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11/14/2019
Progressive Feature Polishing Network for Salient Object Detection
Feature matters for salient object detection. Existing methods mainly fo...
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04/17/2019
Adversarial Defense Through Network Profiling Based Path Extraction
Recently, researchers have started decomposing deep neural network model...
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03/06/2019
Prostate Segmentation from 3D MRI Using a Two-Stage Model and Variable-Input Based Uncertainty Measure
This paper proposes a two-stage segmentation model, variable-input based...
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09/05/2018
Semantic Human Matting
Human matting, high quality extraction of humans from natural images, is...
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08/28/2018
DLFuzz: Differential Fuzzing Testing of Deep Learning Systems
Deep learning (DL) systems are increasingly applied to safety-critical d...
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01/21/2018
Deep joint rain and haze removal from single images
Rain removal from a single image is a challenge which has been studied f...
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11/07/2017
MSR-net:Low-light Image Enhancement Using Deep Convolutional Network
Images captured in low-light conditions usually suffer from very low con...
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04/08/2017
Exact 3D seismic data reconstruction using Tubal-Alt-Min algorithm
Data missing is an common issue in seismic data, and many methods have b...
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08/26/2015