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05/11/2023
GeoGLUE: A GeoGraphic Language Understanding Evaluation Benchmark
With a fast developing pace of geographic applications, automatable and ...
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03/05/2023
Performance of OTFS-NOMA Scheme for Coordinated Direct and Relay Transmission Networks in High-Mobility Scenarios
In this letter, an orthogonal time frequency space (OTFS) based non-orth...
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01/11/2023
A Multi-Modal Geographic Pre-Training Method
As a core task in location-based services (LBS) (e.g., navigation maps),...
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12/12/2022
Collective Vector Clocks: Low-Overhead Transparent Checkpointing for MPI
MPI is the de facto standard for parallel computation on a cluster of co...
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11/09/2022
Hyper-GST: Predict Metro Passenger Flow Incorporating GraphSAGE, Hypergraph, Social-meaningful Edge Weights and Temporal Exploitation
Predicting metro passenger flow precisely is of great importance for dyn...
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05/28/2022
An efficient polynomial-time approximation scheme for parallel multi-stage open shops
Various new scheduling problems have been arising from practical product...
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01/11/2022
A PTAS for parallel two-stage flowshops under makespan constraint
As a hybrid of the Parallel Two-stage Flowshop problem and the Multiple ...
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12/10/2021
MANA-2.0: A Future-Proof Design for Transparent Checkpointing of MPI at Scale
MANA-2.0 is a scalable, future-proof design for transparent checkpointin...
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07/09/2021
Approximation algorithms for the directed path partition problems
Given a directed graph G = (V, E), the k-path partition problem is to fi...
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03/15/2021
The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion
Deep learning techniques have made an increasing impact on the field of ...
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03/15/2021
Boosting ship detection in SAR images with complementary pretraining techniques
Deep learning methods have made significant progress in ship detection i...
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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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04/10/2020
Training few-shot classification via the perspective of minibatch and pretraining
Few-shot classification is a challenging task which aims to formulate th...
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04/10/2020
Towards GANs' Approximation Ability
Generative adversarial networks (GANs) have attracted intense interest i...
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10/06/2019
Approximation algorithms for maximally balanced connected graph partition
Given a simple connected graph G = (V, E), we seek to partition the vert...
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06/26/2019
Task-Driven Common Representation Learning via Bridge Neural Network
This paper introduces a novel deep learning based method, named bridge n...
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12/21/2018