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08/20/2023
QoS-aware User Association and Transmission Scheduling for Millimeter-Wave Train-ground Communications
With the development of wireless communication, people have put forward ...
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08/15/2023
SPM: Structured Pretraining and Matching Architectures for Relevance Modeling in Meituan Search
In e-commerce search, relevance between query and documents is an essent...
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07/13/2023
Adaptive Coding and Modulation Aided Mobile Relaying for Millimeter-Wave Flying Ad-Hoc Networks
The emerging drone swarms are capable of carrying out sophisticated task...
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04/10/2023
Quasi-Synchronous Random Access for Massive MIMO-Based LEO Satellite Constellations
Low earth orbit (LEO) satellite constellation-enabled communication netw...
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03/06/2023
Joint Optimization of Relay Selection and Transmission Scheduling for UAV-Aided mmWave Vehicular Networks
To deal with the explosive growth of mobile traffic, millimeter-wave (mm...
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08/26/2022
Multiple-Objective Packet Routing Optimization for Aeronautical ad-hoc Networks
Providing Internet service above the clouds is of ever-increasing intere...
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07/12/2022
A Novel DeBERTa-based Model for Financial Question Answering Task
As a rising star in the field of natural language processing, question a...
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07/07/2022
Contrastive Information Transfer for Pre-Ranking Systems
Real-word search and recommender systems usually adopt a multi-stage ran...
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05/20/2022
Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction
Rich user behavior data has been proven to be of great value for Click-T...
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05/18/2022
Mobility Support for Millimeter Wave Communications: Opportunities and Challenges
Millimeter-wave (mmWave) communication technology offers a potential and...
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05/08/2022
Transformer-Empowered 6G Intelligent Networks: From Massive MIMO Processing to Semantic Communication
6G wireless networks are foreseen to speed up the convergence of the phy...
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01/15/2022
Integrated Sensing and Communication with mmWave Massive MIMO: A Compressed Sampling Perspective
Integrated sensing and communication (ISAC) has opened up numerous game-...
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12/21/2021
CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution
Multi-touch attribution (MTA), aiming to estimate the contribution of ea...
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11/10/2021
Deep Learning for Beam-Management: State-of-the-Art, Opportunities and Challenges
Benefiting from huge bandwidth resources, millimeter-wave (mmWave) commu...
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11/04/2021
Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction
Sea subsurface temperature, an essential component of aquatic wildlife, ...
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08/18/2021
Structure Parameter Optimized Kernel Based Online Prediction with a Generalized Optimization Strategy for Nonstationary Time Series
In this paper, sparsification techniques aided online prediction algorit...
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05/17/2021
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report
Camera scene detection is among the most popular computer vision problem...
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05/13/2021
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks
In Goal-oriented Reinforcement learning, relabeling the raw goals in pas...
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04/28/2021
Group Feature Learning and Domain Adversarial Neural Network for aMCI Diagnosis System Based on EEG
Medical diagnostic robot systems have been paid more and more attention ...
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04/18/2021
Gaussian Dynamic Convolution for Efficient Single-Image Segmentation
Interactive single-image segmentation is ubiquitous in the scientific an...
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01/08/2021
Deep Learning Assisted Calibrated Beam Training for Millimeter-Wave Communication Systems
Huge overhead of beam training poses a significant challenge in millimet...
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12/18/2020
Which Heroes to Pick? Learning to Draft in MOBA Games with Neural Networks and Tree Search
Hero drafting is essential in MOBA game playing as it builds the team of...
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11/25/2020
Towards Playing Full MOBA Games with Deep Reinforcement Learning
MOBA games, e.g., Honor of Kings, League of Legends, and Dota 2, pose gr...
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11/25/2020
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings
We present JueWu-SL, the first supervised-learning-based artificial inte...
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09/24/2020
Matrix-Monotonic Optimization Part II: Multi-Variable Optimization
In contrast to Part I of this treatise [1] that focuses on the optimizat...
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06/05/2020
Quantum Criticism: A Tagged News Corpus Analysed for Sentiment and Named Entities
In this research, we continuously collect data from the RSS feeds of tra...
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03/23/2020
Compressive Sensing Based Massive Access for IoT Relying on Media Modulation Aided Machine Type Communications
A fundamental challenge of the large-scale Internet-of-Things lies in ho...
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03/17/2020
Research on a New Convolutional Neural Network Model Combined with Random Edges Adding
It is always a hot and difficult point to improve the accuracy of convol...
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03/02/2020
Log orthogonal functions: approximation properties and applications
We present two new classes of orthogonal functions, log orthogonal funct...
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12/25/2019
Channel Fingerprint Based Beam Tracking for Millimeter Wave Communications
Beamforming structures with fixed beam codebooks provide economical solu...
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11/14/2019
Majorization-Minimization Aided Hybrid Transceivers for MIMO Interference Channels
The potential of deploying large-scale antenna arrays in future wireless...
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06/12/2019
DeepSquare: Boosting the Learning Power of Deep Convolutional Neural Networks with Elementwise Square Operators
Modern neural network modules which can significantly enhance the learni...
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03/09/2019
Hybrid Transceiver Optimization for Multi-Hop Communications
Multi-hop communication with the aid of large-scale antenna arrays will ...
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03/05/2019
Closed-Loop Sparse Channel Estimation for Wideband MmWave FD-MIMO Systems
This paper proposes a closed-loop sparse channel estimation (CE) scheme ...
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12/29/2018
Boosting Fronthaul Capacity: Global Optimization of Power Sharing for Centralized Radio Access Network
The limited fronthaul capacity imposes a challenge on the uplink of cent...
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12/04/2018
Inferring Remote Channel State Information: Cramér-Rao Lower Bound and Deep Learning Implementation
Channel state information (CSI) is of vital importance in wireless commu...
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12/04/2018
Time-Sequence Channel Inference for Beam Alignment in Vehicular Networks
In this paper, we propose a learning-based low-overhead beam alignment m...
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12/03/2018
Exploiting Wireless Channel State Information Structures Beyond Linear Correlations: A Deep Learning Approach
Knowledge of information about the propagation channel in which a wirele...
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11/26/2018
Device-to-Device Communications Enabled Multicast Scheduling with the Multi-Level Codebook in mmWave Small Cells
With the exponential growth of mobile data, there are increasing interes...
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11/17/2018
Attention-based Walking Gait and Direction Recognition in Wi-Fi Networks
The study of human gait recognition has been becoming an active research...
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10/26/2018
Unified Overview of Matrix-Monotonic Optimization for MIMO Transceivers
Matrix-monotonic optimization exploits the monotonic nature of positive ...
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10/19/2018
PP-MCSA: Privacy Preserving Multi-Channel Double Spectrum Auction
Auction is widely regarded as an effective way in dynamic spectrum redis...
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08/01/2018
Global Norm-Aware Pooling for Pose-Robust Face Recognition at Low False Positive Rate
In this paper, we propose a novel Global Norm-Aware Pooling (GNAP) block...
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07/17/2018
Regularized Zero-Forcing Precoding Aided Adaptive Coding and Modulation for Large-Scale Antenna Array Based Air-to-Air Communications
We propose a regularized zero-forcing transmit precoding (RZF-TPC) aided...
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06/15/2018
Differential Evolution Algorithm Aided Turbo Channel Estimation and Multi-User Detection for G.Fast Systems in the Presence of FEXT
The ever-increasing demand for broadband Internet access has motivated t...
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04/20/2018
MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices
In this paper, we present a class of extremely efficient CNN models call...
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11/25/2017
Adaptive Coding and Modulation for Large-Scale Antenna Array Based Aeronautical Communications in the Presence of Co-channel Interference
In order to meet the demands of `Internet above the clouds', we propose ...
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10/16/2017
Sparse Linear Isotonic Models
In machine learning and data mining, linear models have been widely used...
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07/14/2017
DocTag2Vec: An Embedding Based Multi-label Learning Approach for Document Tagging
Tagging news articles or blog posts with relevant tags from a collection...
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06/29/2016