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09/19/2023
AI/ML for Beam Management in 5G-Advanced
In beamformed wireless cellular systems such as 5G New Radio (NR) networ...
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08/07/2023
DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction
Multivariate time series long-term prediction, which aims to predict the...
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08/04/2023
A Survey of Beam Management for mmWave and THz Communications Towards 6G
Communication in millimeter wave (mmWave) and even terahertz (THz) frequ...
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07/27/2023
HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting
Traffic forecasting, which aims to predict traffic conditions based on h...
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07/24/2023
CLIP-KD: An Empirical Study of Distilling CLIP Models
CLIP has become a promising language-supervised visual pre-training fram...
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06/19/2023
Categories of Response-Based, Feature-Based, and Relation-Based Knowledge Distillation
Deep neural networks have achieved remarkable performance for artificial...
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05/06/2023
Attacking Pre-trained Recommendation
Recently, a series of pioneer studies have shown the potency of pre-trai...
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04/20/2023
eTag: Class-Incremental Learning with Embedding Distillation and Task-Oriented Generation
Class-Incremental Learning (CIL) aims to solve the neural networks' cata...
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10/04/2022
Joint Optimization of Active and Passive Beamforming in Multi-IRS Aided mmWave Communications
Intelligent reflecting surface (IRS) has been considered as a promising ...
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09/27/2022
Gain without Pain: Recycling Reflected Energy from Wireless Powered RIS-aided Communications
In this paper, we investigate and analyze energy recycling for a reconfi...
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08/11/2022
MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition
Unlike the conventional Knowledge Distillation (KD), Self-KD allows a ne...
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08/10/2022
Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting
Multivariate Time Series (MTS) forecasting plays a vital role in a wide ...
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07/23/2022
Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition
The teacher-free online Knowledge Distillation (KD) aims to train an ens...
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06/18/2022
Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting
Multivariate Time Series (MTS) forecasting plays a vital role in a wide ...
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06/18/2022
Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting
We all depend on mobility, and vehicular transportation affects the dail...
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06/07/2022
Localizing Semantic Patches for Accelerating Image Classification
Existing works often focus on reducing the architecture redundancy for a...
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04/14/2022
Cross-Image Relational Knowledge Distillation for Semantic Segmentation
Current Knowledge Distillation (KD) methods for semantic segmentation of...
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01/17/2022
Lifelong Generative Learning via Knowledge Reconstruction
Generative models often incur the catastrophic forgetting problem when t...
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11/11/2021
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning
Nowadays, Knowledge graphs (KGs) have been playing a pivotal role in AI-...
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11/09/2021
Time-Varying Channel Prediction for RIS-Assisted MU-MISO Networks via Deep Learning
To mitigate the effects of shadow fading and obstacle blocking, reconfig...
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09/07/2021
Knowledge Distillation Using Hierarchical Self-Supervision Augmented Distribution
Knowledge distillation (KD) is an effective framework that aims to trans...
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08/31/2021
Heterogeneous Graph Neural Network with Multi-view Representation Learning
Graph neural networks for heterogeneous graph embedding is to project no...
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08/13/2021
A Distributed SGD Algorithm with Global Sketching for Deep Learning Training Acceleration
Distributed training is an effective way to accelerate the training proc...
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08/11/2021
A Channel-Aware Routing Protocol With Nearest Neighbor Regression For Underwater Sensor Networks
The underwater acoustic channel is one of the most challenging communica...
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07/29/2021
Hierarchical Self-supervised Augmented Knowledge Distillation
Knowledge distillation often involves how to define and transfer knowled...
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04/26/2021
Mutual Contrastive Learning for Visual Representation Learning
We present a collaborative learning method called Mutual Contrastive Lea...
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11/06/2020
Channel Pruning via Multi-Criteria based on Weight Dependency
Channel pruning has demonstrated its effectiveness in compressing ConvNe...
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11/06/2020
GHFP: Gradually Hard Filter Pruning
Filter pruning is widely used to reduce the computation of deep learning...
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10/19/2020
Softer Pruning, Incremental Regularization
Network pruning is widely used to compress Deep Neural Networks (DNNs). ...
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06/23/2020
PFGDF: Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration
The existence of a lot of redundant information in convolutional neural ...
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06/07/2020
Multi-view Contrastive Learning for Online Knowledge Distillation
Existing Online Knowledge Distillation (OKD) aims to perform collaborati...
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04/11/2020
Towards Green Mobile Edge Computing Offloading Systems with Security Enhancement
Mobile edge computing (MEC) is an emerging communication scheme that aim...
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01/31/2020
Localizing Multi-scale Semantic Patches for Image Classification
Deep convolutional neural networks (CNN) always non-linearly aggregate t...
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01/19/2020
Towards More Efficient and Effective Inference: The Joint Decision of Multi-Participants
Existing approaches to improve the performances of convolutional neural ...
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11/20/2019
DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners
This paper proposes to use an interpretable method to dissect the channe...
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09/04/2019
Rethinking the Number of Channels for the Convolutional Neural Network
Latest algorithms for automatic neural architecture search perform remar...
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08/26/2019
Gated Convolutional Networks with Hybrid Connectivity for Image Classification
We design a highly efficient architecture called Gated Convolutional Net...
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06/02/2019
Multi-objective Pruning for CNNs using Genetic Algorithm
In this work, we propose a heuristic genetic algorithm (GA) for pruning ...
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05/10/2019
