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08/31/2023
AntM^2C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction
Click-through rate (CTR) prediction is a crucial issue in recommendation...
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08/24/2023
Block-Level Interference Exploitation Precoding for MU-MISO: An ADMM Approach
We study constructive interference based block-level precoding (CI-BLP) ...
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08/20/2023
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
The growth of the Machine-Learning-As-A-Service (MLaaS) market has highl...
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07/19/2023
A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices
Quantum computing presents a promising approach for machine learning wit...
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07/16/2023
STAR-RIS Enhanced Joint Physical Layer Security and Covert Communications for Multi-antenna mmWave Systems
This paper investigates the utilization of simultaneously transmitting a...
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05/25/2023
FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients
Federated Learning (FL) is a distributed learning paradigm that empowers...
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05/16/2023
Style Transfer Enabled Sim2Real Framework for Efficient Learning of Robotic Ultrasound Image Analysis Using Simulated Data
Robotic ultrasound (US) systems have shown great potential to make US ex...
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05/05/2023
Microarchitectures for Heterogeneous Superconducting Quantum Computers
Noisy Intermediate-Scale Quantum Computing (NISQ) has dominated headline...
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05/04/2023
BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs
Recent studies have shown that Binary Graph Neural Networks (GNNs) are p...
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03/20/2023
Machine Learning Automated Approach for Enormous Synchrotron X-Ray Diffraction Data Interpretation
Manual analysis of XRD data is usually laborious and time consuming. The...
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02/17/2023
AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving
Object detection with on-board sensors (e.g., lidar, radar, and camera) ...
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02/01/2023
Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization
Contrastive Language-Image Pretraining (CLIP) has demonstrated impressiv...
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01/27/2023
Epsilon-Identifiability of Causal Quantities
Identifying the effects of causes and causes of effects is vital in virt...
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01/07/2023
Duet: Creating Harmony between Processors and Embedded FPGAs
The demise of Moore's Law has led to the rise of hardware acceleration. ...
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01/05/2023
Enabling Augmented Segmentation and Registration in Ultrasound-Guided Spinal Surgery via Realistic Ultrasound Synthesis from Diagnostic CT Volume
This paper aims to tackle the issues on unavailable or insufficient clin...
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11/27/2022
Speeding-up Symbol-Level Precoding Using Separable and Dual Optimizations
Symbol-level precoding (SLP) manipulates the transmitted signals to accu...
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11/25/2022
Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry
Molecular property calculations are the bedrock of chemical physics. Hig...
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11/11/2022
More Generalized and Personalized Unsupervised Representation Learning In A Distributed System
Discriminative unsupervised learning methods such as contrastive learnin...
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10/17/2022
Probabilities of Causation: Role of Observational Data
Probabilities of causation play a crucial role in modern decision-making...
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10/16/2022
Learning Probabilities of Causation from Finite Population Data
This paper deals with the problem of learning the probabilities of causa...
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10/15/2022
NOMA Made Practical: Removing the Receive SIC Processing through Interference Exploitation
Non-orthogonal multiple access (NOMA) is a powerful transmission techniq...
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10/15/2022
Unit Selection: Learning Benefit Function from Finite Population Data
The unit selection problem is to identify a group of individuals who are...
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10/11/2022
QuCNN : A Quantum Convolutional Neural Network with Entanglement Based Backpropagation
Quantum Machine Learning continues to be a highly active area of interes...
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10/11/2022
Cross-modal Search Method of Technology Video based on Adversarial Learning and Feature Fusion
Technology videos contain rich multi-modal information. In cross-modal i...
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10/10/2022
Unit Selection: Case Study and Comparison with A/B Test Heuristic
The unit selection problem defined by Li and Pearl identifies individual...
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10/10/2022
Probabilities of Causation: Adequate Size of Experimental and Observational Samples
The probabilities of causation are commonly used to solve decision-makin...
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10/07/2022
Scientific and Technological News Recommendation Based on Knowledge Graph with User Perception
Existing research usually utilizes side information such as social netwo...
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10/07/2022
Embedding Representation of Academic Heterogeneous Information Networks Based on Federated Learning
Academic networks in the real world can usually be portrayed as heteroge...
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10/07/2022
Scientific Paper Classification Based on Graph Neural Network with Hypergraph Self-attention Mechanism
The number of scientific papers has increased rapidly in recent years. H...
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09/30/2022
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction
Due to limited communication capacities of edge devices, most existing f...
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09/26/2022
Low Complexity SLP: An Inversion-Free, Parallelizable ADMM Approach
We propose a parallel constructive interference (CI)-based symbol-level ...
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09/20/2022
PolyMPCNet: Towards ReLU-free Neural Architecture Search in Two-party Computation Based Private Inference
The rapid growth and deployment of deep learning (DL) has witnessed emer...
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09/15/2022
MSREP: A Fast yet Light Sparse Matrix Framework for Multi-GPU Systems
Sparse linear algebra kernels play a critical role in numerous applicati...
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09/14/2022
Empowering GNNs with Fine-grained Communication-Computation Pipelining on Multi-GPU Platforms
The increasing size of input graphs for graph neural networks (GNNs) hig...
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08/20/2022
Unit Selection with Nonbinary Treatment and Effect
The unit selection problem aims to identify a set of individuals who are...
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08/19/2022
Probabilities of Causation with Nonbinary Treatment and Effect
This paper deals with the problem of estimating the probabilities of cau...
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08/13/2022
CollComm: Enabling Efficient Collective Quantum Communication Based on EPR buffering
The noisy and lengthy nature of quantum communication hinders the develo...
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08/07/2022
A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining
Transformers are considered one of the most important deep learning mode...
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07/19/2022
SphereFed: Hyperspherical Federated Learning
Federated Learning aims at training a global model from multiple decentr...
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07/06/2022
Aspect-Based Sentiment Analysis using Local Context Focus Mechanism with DeBERTa
Text sentiment analysis, also known as opinion mining, is research on th...
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06/30/2022
A Rare Topic Discovery Model for Short Texts Based on Co-occurrence word Network
We provide a simple and general solution for the discovery of scarce top...
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06/29/2022
Chinese Word Sense Embedding with SememeWSD and Synonym Set
Word embedding is a fundamental natural language processing task which c...
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06/28/2022
H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture
Graph Neural Networks (GNNs) have drawn tremendous attention due to thei...
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06/16/2022
GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing
With the increasing popularity of robotics in industrial control and aut...
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06/06/2022
Dissecting Tensor Cores via Microbenchmarks: Latency, Throughput and Numerical Behaviors
Tensor Cores have been an important unit to accelerate Fused Matrix Mult...
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06/06/2022
A sentiment analysis model for car review texts based on adversarial training and whole word mask BERT
In the field of car evaluation, more and more netizens choose to express...
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06/05/2022
Sentiment Analysis of Online Travel Reviews Based on Capsule Network and Sentiment Lexicon
With the development of online travel services, it has great application...
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06/05/2022
Searching Similarity Measure for Binarized Neural Networks
Being a promising model to be deployed in resource-limited devices, Bina...
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06/05/2022
GAAF: Searching Activation Functions for Binary Neural Networks through Genetic Algorithm
Binary neural networks (BNNs) show promising utilization in cost and pow...
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06/02/2022
