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08/16/2023
Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation
Large language models (LLMs) have been widely used in various applicatio...
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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...
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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...
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08/05/2022
Task-Balanced Distillation for Object Detection
Mainstream object detectors are commonly constituted of two sub-tasks, i...
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07/28/2022
Fiber bundle topology optimization for surface flows
This paper presents a topology optimization approach for the surface flo...
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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 ...
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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...
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12/27/2021
Technical and Mathematical Foundations of Information Systems Dynamics
ThThis paper reviews and summarizes the main process of the close combin...
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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...
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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 ...
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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...
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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...
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08/12/2020
Text Classification based on Multi-granularity Attention Hybrid Neural Network
Neural network-based approaches have become the driven forces for Natura...
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06/29/2020
Multichannel CNN with Attention for Text Classification
Recent years, the approaches based on neural networks have shown remarka...
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02/22/2020
A Novel Decision Tree for Depression Recognition in Speech
Depression is a common mental disorder worldwide which causes a range of...
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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...
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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...
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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...
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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...
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12/23/2019
Overcoming the Channel Estimation Barrier in Massive MIMO Communication Systems
A new wave of wireless services, including virtual reality, autonomous d...
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05/06/2019