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09/07/2023
BNS-Net: A Dual-channel Sarcasm Detection Method Considering Behavior-level and Sentence-level Conflicts
Sarcasm detection is a binary classification task that aims to determine...
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08/26/2023
ORES: Open-vocabulary Responsible Visual Synthesis
Avoiding synthesizing specific visual concepts is an essential challenge...
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05/06/2023
Rateless Coded Blockchain for Dynamic IoT Networks
A key constraint that limits the implementation of blockchain in Interne...
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03/08/2023
Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models
ChatGPT is attracting a cross-field interest as it provides a language i...
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02/21/2023
Learning 3D Photography Videos via Self-supervised Diffusion on Single Images
3D photography renders a static image into a video with appealing 3D vis...
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01/24/2023
Progressive Meta-Pooling Learning for Lightweight Image Classification Model
Practical networks for edge devices adopt shallow depth and small convol...
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01/24/2023
RD-NAS: Enhancing One-shot Supernet Ranking Ability via Ranking Distillation from Zero-cost Proxies
Neural architecture search (NAS) has made tremendous progress in the aut...
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10/27/2022
Unsupervised Knowledge Graph Construction and Event-centric Knowledge Infusion for Scientific NLI
With the advance of natural language inference (NLI), a rising demand fo...
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08/19/2022
Scaling Blockchains with Error Correction Codes: A Survey on Coded Blockchains
This paper reviews and highlights how coding schemes have been used to s...
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08/15/2022
Radar-enabled ambient backscatter communication
In this work, we exploit the radar clutter (i.e., the ensemble of echoes...
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06/14/2022
Distributed and Distribution-Robust Meta Reinforcement Learning (D2-RMRL) for Data Pre-storing and Routing in Cube Satellite Networks
In this paper, the problem of data pre-storing and routing in dynamic, r...
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06/01/2022
A Wavenumber Integration Model of Underwater Acoustic Propagation in Arbitrary Horizontally Stratified Media Based on a Spectral Method
The wavenumber integration method is considered to be the most accurate ...
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04/05/2022
Application of a Spectral Method to Simulate Quasi-Three-Dimensional Underwater Acoustic Fields
The solution and synthesis of quasi-three-dimensional sound fields have ...
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08/24/2021
MIMO OFDM Dual-Function Radar-Communication Under Error Rate and Beampattern Constraints
In this work we consider a multiple-input multiple-output (MIMO) dual-fu...
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07/07/2021
Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer
Semi-supervised domain adaptation (SSDA) aims to solve tasks in target d...
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05/11/2021
An Encoding Approach for Stable Change Point Detection
Without imposing prior distributional knowledge underlying multivariate ...
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04/28/2021
Two stages for visual object tracking
Siamese-based trackers have achived promising performance on visual obje...
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04/15/2021
Coarse- and fine-scale geometric information content of Multiclass Classification and implied Data-driven Intelligence
Under any Multiclass Classification (MCC) setting defined by a collectio...
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04/12/2021
Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models
Deep learning recommendation models (DLRMs) are used across many busines...
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03/08/2021
Discovering Multiple Phases of Dynamics by Dissecting Multivariate Time Series
We proposed a data-driven approach to dissect multivariate time series i...
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02/04/2021
Reconfigurable-intelligent-surface-assisted Downlink Transmission Design via Bayesian Optimization
This paper investigates the transmission design in the reconfigurable-in...
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01/26/2021
Privacy-preserving Channel Estimation in Cell-free Hybrid Massive MIMO Systems
We consider a cell-free hybrid massive multiple-input multiple-output (M...
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01/23/2021
Unraveling S P500 stock volatility and networks – An encoding and decoding approach
We extend the Hierarchical Factor Segmentation(HFS) algorithm for discov...
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11/30/2020
Unfolded Deep Neural Network (UDNN) for High Mobility Channel Estimation
High mobility channel estimation is crucial for beyond 5G (B5G) or 6G wi...
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11/11/2020
Understanding Training Efficiency of Deep Learning Recommendation Models at Scale
The use of GPUs has proliferated for machine learning workflows and is n...
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04/17/2020
GEVO: GPU Code Optimization using EvolutionaryComputation
GPUs are a key enabler of the revolution in machine learning and high pe...
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04/17/2020
GEVO: GPU Code Optimization using Evolutionary Computation
GPUs are a key enabler of the revolution in machine learning and high pe...
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04/11/2020
Long-term scheduling and power control for wirelessly powered cell-free IoT
We investigate the long-term scheduling and power control scheme for a w...
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03/20/2020
Deep Learning Training in Facebook Data Centers: Design of Scale-up and Scale-out Systems
Large-scale training is important to ensure high performance and accurac...
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01/24/2020
Progressive Local Filter Pruning for Image Retrieval Acceleration
This paper focuses on network pruning for image retrieval acceleration. ...
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01/08/2020
DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference
Neural personalized recommendation is the corner-stone of a wide collect...
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12/30/2019
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing
Personalized recommendation systems leverage deep learning models and ac...
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11/10/2019
Language Model-Driven Unsupervised Neural Machine Translation
Unsupervised neural machine translation(NMT) is associated with noise an...
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11/07/2019
SubCharacter Chinese-English Neural Machine Translation with Wubi encoding
Neural machine translation (NMT) is one of the best methods for understa...
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08/13/2019
Exploiting Parallelism Opportunities with Deep Learning Frameworks
State-of-the-art machine learning frameworks support a wide variety of d...
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06/12/2019
Deep Reinforcement Learning for Unmanned Aerial Vehicle-Assisted Vehicular Networks
Unmanned aerial vehicles (UAVs) are envisioned to complement the 5G comm...
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06/12/2019
Deep Reinforcement Learning for Unmanned Aerial Vehicle-Assisted Vehicular Networks in Smart Cities
Unmanned aerial vehicles (UAVs) are envisioned to complement the 5G comm...
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06/06/2019
The Architectural Implications of Facebook's DNN-based Personalized Recommendation
The widespread application of deep learning has changed the landscape of...
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06/01/2019
Multi-dimensional Spectral Super-Resolution with Prior Knowledge via Frequency-Selective Vandermonde Decomposition and ADMM
This paper is concerned with estimation of multiple frequencies from inc...
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05/31/2019
Deep Learning Recommendation Model for Personalization and Recommendation Systems
With the advent of deep learning, neural network-based recommendation mo...
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04/25/2019
Compressive Multidimensional Harmonic Retrieval with Prior Knowledge
This paper concerns the problem of estimating multidimensional (MD) freq...
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03/06/2019
Spectral Method for Phase Retrieval: an Expectation Propagation Perspective
Phase retrieval refers to the problem of recovering a signal x_∈C^n from...
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02/19/2019
Secure Distributed Dynamic State Estimation in Wide-Area Smart Grids
Smart grid is a large complex network with a myriad of vulnerabilities, ...
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02/15/2019
Multi-target Position and Velocity Estimation Using OFDM Communication Signals
In this paper, we consider a passive radar system that estimates the pos...
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12/16/2018
Decentralized Computation Offloading for Multi-User Mobile Edge Computing: A Deep Reinforcement Learning Approach
Mobile edge computing (MEC) emerges recently as a promising solution to ...
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11/24/2018
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications
The application of deep learning techniques resulted in remarkable impro...
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11/13/2018
Quickest Detection of Time-Varying False Data Injection Attacks in Dynamic Linear Regression Models
Motivated by the sequential detection of false data injection attacks (F...
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09/14/2018
Online Cyber-Attack Detection in Smart Grid: A Reinforcement Learning Approach
Early detection of cyber-attacks is crucial for a safe and reliable oper...
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09/14/2018
Real-Time Nonparametric Anomaly Detection in High-Dimensional Settings
Timely and reliable detection of abrupt anomalies, e.g., faults, intrusi...
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07/14/2018