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09/21/2023
ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems
The past decade has seen rapid growth of distributed stream data process...
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09/12/2023
Elucidating the solution space of extended reverse-time SDE for diffusion models
Diffusion models (DMs) demonstrate potent image generation capabilities ...
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08/20/2022
HySAGE: A Hybrid Static and Adaptive Graph Embedding Network for Context-Drifting Recommendations
The recent popularity of edge devices and Artificial Intelligent of Thin...
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08/08/2022
Eight Years of Face Recognition Research: Reproducibility, Achievements and Open Issues
Automatic face recognition is a research area with high popularity. Many...
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04/29/2022
H2H: Heterogeneous Model to Heterogeneous System Mapping with Computation and Communication Awareness
The complex nature of real-world problems calls for heterogeneity in bot...
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04/28/2022
FPIRM: Floating-point Processing in Racetrack Memories
Convolutional neural networks (CNN) have become a ubiquitous algorithm w...
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03/17/2022
Fighting Noise with Noise: Causal Inference with Many Candidate Instruments
Instrumental variable methods provide useful tools for inferring causal ...
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03/07/2022
QSDsan: An Integrated Platform for Quantitative Sustainable Design of Sanitation and Resource Recovery Systems
Sustainable sanitation and resource recovery technologies are needed to ...
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02/18/2022
EF-Train: Enable Efficient On-device CNN Training on FPGA Through Data Reshaping for Online Adaptation or Personalization
Conventionally, DNN models are trained once in the cloud and deployed in...
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02/13/2022
Defense Strategies Toward Model Poisoning Attacks in Federated Learning: A Survey
Advances in distributed machine learning can empower future communicatio...
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10/01/2021
Speech Technology for Everyone: Automatic Speech Recognition for Non-Native English with Transfer Learning
To address the performance gap of English ASR models on L2 English speak...
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06/02/2021
A Topological Solution of Entanglement for Complex-shaped Parts in Robotic Bin-picking
This paper addresses the problem of picking up only one object at a time...
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04/13/2021
Thief, Beware of What Get You There: Towards Understanding Model Extraction Attack
Model extraction increasingly attracts research attentions as keeping co...
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04/06/2021
mSHINE: A Multiple-meta-paths Simultaneous Learning Framework for Heterogeneous Information Network Embedding
Heterogeneous information networks(HINs) become popular in recent years ...
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03/22/2021
Supervised Principal Component Regression for Functional Response with High Dimensional Predictors
We propose a supervised principal component regression method for relati...
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09/23/2020
LA-HCN: Label-based Attention for Hierarchical Multi-label TextClassification Neural Network
Hierarchical multi-label text classification(HMTC) problems become popul...
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03/02/2020
Gated Fusion Network for Degraded Image Super Resolution
Single image super resolution aims to enhance image quality with respect...
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02/06/2020
Low Overhead Online Data Flow Tracking for Intermittently Powered Non-volatile FPGAs
Energy harvesting is an attractive way to power future IoT devices since...
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09/16/2019
RVH: Range-Vector Hash for Fast Online Packet Classification
Packet classification according to multi-field ruleset is a key componen...
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07/21/2019
Achieving Super-Linear Speedup across Multi-FPGA for Real-Time DNN Inference
Real-time Deep Neural Network (DNN) inference with low-latency requireme...
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01/31/2019
Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search
A fundamental question lies in almost every application of deep neural n...
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09/01/2018
DAC-SDC Low Power Object Detection Challenge for UAV Applications
The 55th Design Automation Conference (DAC) held its first System Design...
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07/27/2018
