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    • Learning Attentive Representations for Environmental Sound Classification
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    • Only Those Requested Count: Proactive Scheduling Policies for Minimizing Effective Age-of-Information
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    • Speed-Oriented Architecture for Binary Field Point Multiplication on Elliptic Curves
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    • Sub-Spectrogram Segmentation for Environmental Sound Classification via Convolutional Recurrent Neural Network and Score Level Fusion
    • Timely Status Update in Wireless Uplinks: Analytical Solutions with Asymptotic Optimality
    • Fast Intra Coding Based on CU Size Decision and Direction Mode Decision for HEVC
    • A Fast Modular Inversion FPGA Implementation over GF (2 m) Using Modified x 2n Unit
    • A Prototype Performance Analysis for V2V Communications Using USRP-based Software Defined Radio Platform
    • A Reconfigurable Pipelined Architecture for Convolutional Neural Network Acceleration
    • A Two-Step Learning and Interpolation Method for Location-Based Channel Database Construction
    • A Unified Deep Learning Based Polar-LDPC Decoder for 5G Communication Systems
    • A Unified Reconfigurable Datapath for 5G Compatible LDPC Decoding
    • Can Decentralized Status Update Achieve Universally Near-Optimal Age-of-Information in Wireless Multiaccess Channels?
    • Decentralized Status Update for Age-of-Information Optimization in Wireless Multiaccess Channels.
    • Deep Convolutional Neural Network with Mixup for Environmental Sound Classification
    • Discrete Spatial Compression beyond Beamspace Channel Sparsity Based on Branch-and-Bound
    • Distributed Reinforcement Learning for Quality-of-Service Routing in Wireless Device-to-Device Networks
    • Dynamic Carrier and Power Amplifier Mapping for Energy Efficient Multi-Carrier Wireless Communications
    • Grey Correlation Degree Analysis on Pilot Pattern Optimization for OFDM Channel Estimation
    • Improved Scaling Law for Status Update Timeliness in Massive IoT by Elastic Spatial Multiplexing
    • Inferring Remote Channel State Information: Cramér-Rae Lower Bound and Deep Learning Implementation
    • Joint User Scheduling and Beam Selection Optimization for Beam-Based Massive MIMO Downlinks
    • Learning-Based Task Offloading for Vehicular Cloud Computing Systems
    • Optimal Discrete Spatial Compression for Beamspace Massive MIMO Signals
    • Origin of Symmetry Breaking in the Seed-Mediated Growth of Bi-Metal Nano-Heterostructures
    • Performance Evaluation for LTE-V Based Vehicle-to-Vehicle Platooning Communication
    • Time-Sequence Channel Inference for Beam Alignment in Vehicular Networks
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    • A Two-Stage Variation-Aware Task Mapping Scheme for Fault-Tolerant Multi-Core Network-on-Chips
    • Antenna-Beam Spatial Transformation in C-RAN with Large Antenna Arrays
    • Augmented Nested Arrays with Enhanced DOF and Reduced Mutual Coupling
    • DOA Estimation Based on the Difference and Sum Coarray for Coprime Arrays
    • Elastic Local Breakout Strategy and Implementation for Delay-Sensitive Packets with Local Significance
    • How Often Should CSI Be Updated for Massive MIMO Systems with Massive Connectivity?
    • Modeling and Analyzing of Underwater Acoustic Channels with Curvilinear Boundaries in Shallow Ocean
    • Optimal Sleeping Mechanism for Multiple Servers with MMPP-based Bursty Traffic Arrival
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    • Remote Channel Inference for Beamforming in Ultra-Dense Hyper-Cellular Network
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    • Task Replication for Deadline-Constrained Vehicular Cloud Computing: Optimal Policy, Performance Analysis, and Implications on Road Traffic
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Filter Pruning via Automatic Pruning Rate Search (Supplementary Material)

1月 1, 2022·
Qiming Sun
Shan Cao
Shan Cao
,
Zhixiang Chen
· 0 分钟阅读时长
最近更新于 1月 1, 2022
Shan Cao
Authors
Shan Cao
Associate Professor
← Filter Pruning via Automatic Pruning Rate Search 1月 1, 2022
Measurement-Based Channel Characteristic Analysis with Different Antenna Heights at 3.7 GHz 1月 1, 2022 →

© 2026 ACELab. This work is licensed under CC BY NC ND 4.0

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