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05/28/2023
Evolving Connectivity for Recurrent Spiking Neural Networks
Recurrent spiking neural networks (RSNNs) hold great potential for advan...
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05/22/2023
PO-VINS: An Efficient Pose-Only LiDAR-Enhanced Visual-Inertial State Estimator
The pose-only (PO) visual representation has been proven to be equivalen...
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12/06/2022
KATSum: Knowledge-aware Abstractive Text Summarization
Text Summarization is recognised as one of the NLP downstream tasks and ...
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11/04/2022
Continuous Prompt Tuning Based Textual Entailment Model for E-commerce Entity Typing
The explosion of e-commerce has caused the need for processing and analy...
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09/11/2022
Learning Consumer Preferences from Bundle Sales Data
Product bundling is a common selling mechanism used in online retailing....
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07/12/2022
Indoor optical fiber eavesdropping approach and its avoidance
The optical fiber network has become a worldwide infrastructure. In addi...
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07/04/2022
KubeAdaptor: A Docking Framework for Workflow Containerization on Kubernetes
As Kubernetes becomes the infrastructure of the cloud-native era, the in...
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02/11/2022
Meta-learning with GANs for anomaly detection, with deployment in high-speed rail inspection system
Anomaly detection has been an active research area with a wide range of ...
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01/04/2022
Transfer Learning for Retinal Vascular Disease Detection: A Pilot Study with Diabetic Retinopathy and Retinopathy of Prematurity
Retinal vascular diseases affect the well-being of human body and someti...
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12/29/2021
Fast Subspace Identification Method Based on Containerised Cloud Workflow Processing System
Subspace identification (SID) has been widely used in system identificat...
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10/22/2021
ModEL: A Modularized End-to-end Reinforcement Learning Framework for Autonomous Driving
Heated debates continue over the best autonomous driving framework. The ...
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10/17/2021
On the Statistical Analysis of Complex Tree-shaped 3D Objects
How can one analyze detailed 3D biological objects, such as neurons and ...
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06/06/2021
Graph2Graph Learning with Conditional Autoregressive Models
We present a graph neural network model for solving graph-to-graph learn...
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02/18/2021
Truncation-Free Matching System for Display Advertising at Alibaba
Matching module plays a critical role in display advertising systems. Wi...
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06/29/2020
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising
In E-commerce, advertising is essential for merchants to reach their tar...
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06/17/2020
DCAF: A Dynamic Computation Allocation Framework for Online Serving System
Modern large-scale systems such as recommender system and online adverti...
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06/12/2020
Early Detection of Retinopathy of Prematurity (ROP) in Retinal Fundus Images Via Convolutional Neural Networks
Retinopathy of prematurity (ROP) is an abnormal blood vessel development...
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09/17/2019
Measure Contribution of Participants in Federated Learning
Federated Machine Learning (FML) creates an ecosystem for multiple parti...
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07/16/2019
EnforceNet: Monocular Camera Localization in Large Scale Indoor Sparse LiDAR Point Cloud
Pose estimation is a fundamental building block for robotic applications...
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06/20/2019
Cooperative Lane Changing via Deep Reinforcement Learning
In this paper, we study how to learn an appropriate lane changing strate...
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05/16/2019
Statistical Analysis and Modeling of the Geometry and Topology of Plant Roots
Root is an important organ of a plant since it is responsible for water ...
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05/11/2019
Interpret Federated Learning with Shapley Values
Federated Learning is introduced to protect privacy by distributing trai...
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02/16/2011
