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05/29/2023
BigTrans: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages
Large language models (LLMs) demonstrate promising translation performan...
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12/19/2022
FreeEnricher: Enriching Face Landmarks without Additional Cost
Recent years have witnessed significant growth of face alignment. Though...
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12/16/2022
Reconfigurable Wearable Antenna for 5G Applications using Nematic Liquid Crystals
The antenna is one of the key building blocks of many wearable electroni...
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03/28/2022
Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning
Prior works on action representation learning mainly focus on designing ...
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09/13/2021
ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignment
The recent progress of CNN has dramatically improved face alignment perf...
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05/31/2021
Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models
A sequence-to-sequence learning with neural networks has empirically pro...
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05/01/2021
EntrapNet: a Blockchain-Based Verification Protocol for Trustless Computing
In this paper, we propose a blockchain-based computing verification prot...
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01/14/2021
Impact of Distributed Rate Limiting on Load Distribution in a Latency-sensitive Messaging Service
The cloud's flexibility and promise of seamless auto-scaling notwithstan...
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07/29/2020
Feedback Capacities of Gaussian Multiple-Access Wiretap Channels
The feedback capacities of the Gaussian multiple-access channel (GMAC) a...
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07/01/2020
Automatic Crack Detection on Road Pavements Using Encoder Decoder Architecture
Inspired by the development of deep learning in computer vision and obje...
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02/08/2020
Ensemble of Deep Convolutional Neural Networks for Automatic Pavement Crack Detection and Measurement
Automated pavement crack detection and measurement are important road is...
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11/19/2019
Sparse recovery via nonconvex regularized M-estimators over ℓ_q-balls
In this paper, we analyse the recovery properties of nonconvex regulariz...
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11/12/2019
Sparse estimation via ℓ_q optimization method in high-dimensional linear regression
In this paper, we discuss the statistical properties of the ℓ_q optimiza...
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09/14/2018
Online Cyber-Attack Detection in Smart Grid: A Reinforcement Learning Approach
Early detection of cyber-attacks is crucial for a safe and reliable oper...
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02/03/2018
Multi-task Learning for Continuous Control
Reliable and effective multi-task learning is a prerequisite for the dev...
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01/20/2018
Secrecy Capacity of Colored Gaussian Noise Channels with Feedback
In this paper, the k-th order autoregressive moving average (ARMA(k)) Ga...
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01/12/2018