Zhenyu Liu | DeepAI

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Featured Co-authors

Li Wang
146 publications
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76 publications
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Jing Shao
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Han Xiao
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Zhi Ding
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Jihong Zhu
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∙ 11/27/2022

Training Deep Learning Models for Massive MIMO CSI Feedback with Small Datasets in New Environments

Deep learning (DL)-based channel state information (CSI) feedback has sh...

0 Zhenyu Liu, et al. ∙

∙ 09/07/2022

Propagation Path Loss Models in Forest Scenario at 605 MHz

When signals propagate through forest areas, they will be affected by en...

0 Zhe Xiao, et al. ∙

∙ 08/05/2022

Task-Balanced Distillation for Object Detection

Mainstream object detectors are commonly constituted of two sub-tasks, i...

3 Ruining Tang, et al. ∙

∙ 07/28/2022

Fiber bundle topology optimization for surface flows

This paper presents a topology optimization approach for the surface flo...

0 Yongbo Deng, et al. ∙

∙ 05/07/2022

Training Enhancement of Deep Learning Models for Massive MIMO CSI Feedback with Small Datasets

Accurate downlink channel state information (CSI) is vital to achieving ...

0 Zhenyu Liu, et al. ∙

∙ 02/05/2022

Age of Information-based Scheduling for Wireless D2D Systems with a Deep Learning Approach

Device-to-device (D2D) links scheduling for avoiding excessive interfere...

0 Ling Luo, et al. ∙

∙ 12/27/2021

Technical and Mathematical Foundations of Information Systems Dynamics

ThThis paper reviews and summarizes the main process of the close combin...

0 Jianfeng Xu, et al. ∙

∙ 11/10/2021

Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention

Safety has become one of the main challenges of applying deep reinforcem...

7 Yunkun Xu, et al. ∙

∙ 02/28/2021

Learning-Based Phase Compression and Quantization for Massive MIMO CSI Feedback with Magnitude-Aided Information

Massive MIMO wireless FDD systems are often confronted by the challenge ...

0 Yu-Chien Lin, et al. ∙

∙ 12/21/2020

Multi-Faceted Representation Learning with Hybrid Architecture for Time Series Classification

Time series classification problems exist in many fields and have been e...

0 Zhenyu Liu, et al. ∙

∙ 09/20/2020

A Markovian Model-Driven Deep Learning Framework for Massive MIMO CSI Feedback

Forward channel state information (CSI) often plays a vital role in sche...

0 Zhenyu Liu, et al. ∙

∙ 08/12/2020

Text Classification based on Multi-granularity Attention Hybrid Neural Network

Neural network-based approaches have become the driven forces for Natura...

0 Zhenyu Liu, et al. ∙

∙ 06/29/2020

Multichannel CNN with Attention for Text Classification

Recent years, the approaches based on neural networks have shown remarka...

0 Zhenyu Liu, et al. ∙

∙ 02/22/2020

A Novel Decision Tree for Depression Recognition in Speech

Depression is a common mental disorder worldwide which causes a range of...

0 Zhenyu Liu, et al. ∙

∙ 02/20/2020

MODMA dataset: a Multi-modal Open Dataset for Mental-disorder Analysis

According to the World Health Organization, the number of mental disorde...

0 Hanshu Cai, et al. ∙

∙ 02/20/2020

MODMA dataset: a Multi-model Open Dataset for Mental-disorder Analysis

According to the World Health Organization, the number of mental disorde...

0 Hanshu Cai, et al. ∙

∙ 01/30/2020

Peregrine: Network Localization and Navigation with Scalable Inference and Efficient Operation

Location-aware networks will enable new services and applications in fie...

0 Bryan Teague, et al. ∙

∙ 12/23/2019

An Efficient Deep Learning Framework for Low Rate Massive MIMO CSI Reporting

Channel state information (CSI) reporting is important for multiple-inpu...

0 Zhenyu Liu, et al. ∙

∙ 12/23/2019

Overcoming the Channel Estimation Barrier in Massive MIMO Communication Systems

A new wave of wireless services, including virtual reality, autonomous d...

0 Zhenyu Liu, et al. ∙

∙ 05/06/2019

Topology optimization on two-dimensional manifolds

Topology optimization is one of the most-used method to inversely determ...

0 Yongbo Deng, et al. ∙