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09/16/2023
Multiagent Reinforcement Learning with an Attention Mechanism for Improving Energy Efficiency in LoRa Networks
Long Range (LoRa) wireless technology, characterized by low power consum...
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08/20/2023
FashionNTM: Multi-turn Fashion Image Retrieval via Cascaded Memory
Multi-turn textual feedback-based fashion image retrieval focuses on a r...
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07/14/2023
TVPR: Text-to-Video Person Retrieval and a New Benchmark
Most existing methods for text-based person retrieval focus on text-to-i...
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06/30/2023
Improved NL2SQL based on Multi-layer Expert Network
The Natural Language to SQL (NL2SQL) technique is used to convert natura...
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06/30/2023
Feature Representation Learning for NL2SQL Generation Based on Coupling and Decoupling
The NL2SQL task involves parsing natural language statements into SQL qu...
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06/11/2023
VPUFormer: Visual Prompt Unified Transformer for Interactive Image Segmentation
The integration of diverse visual prompts like clicks, scribbles, and bo...
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06/03/2023
Relieving Triplet Ambiguity: Consensus Network for Language-Guided Image Retrieval
Language-guided image retrieval enables users to search for images and i...
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04/20/2023
Image-text Retrieval via preserving main Semantics of Vision
Image-text retrieval is one of the major tasks of cross-modal retrieval....
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04/11/2023
Triple Sequence Learning for Cross-domain Recommendation
Cross-domain recommendation (CDR) aims to leverage the users' behaviors ...
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02/28/2023
Robust one-shot estimation over shared networks in the presence of denial-of-service attacks
Multi-agent systems often communicate over low-power shared wireless net...
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02/19/2023
Incident-aware Duplicate Ticket Aggregation for Cloud Systems
In cloud systems, incidents are potential threats to customer satisfacti...
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12/15/2022
Efficient Visual Computing with Camera RAW Snapshots
Conventional cameras capture image irradiance on a sensor and convert it...
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12/02/2022
Avoiding spurious correlations via logit correction
Empirical studies suggest that machine learning models trained with empi...
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12/01/2022
Top-k data selection via distributed sample quantile inference
We consider the problem of determining the top-k largest measurements fr...
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11/29/2022
Enabling Personalized Video Quality Optimization with VidHoc
The emerging video applications greatly increase the demand in network b...
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09/29/2022
Robust Bayesian Non-segmental Detection of Multiple Change-points
Change-points detection has long been important and active research area...
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09/29/2022
Modeling High-Dimensional Matrix-Variate Observations by Tensor Factorization
In the era of big data, it is prevailing of high-dimensional matrix-vari...
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09/20/2022
Empirical likelihood-based portmanteau tests for autoregressive moving average models with possible infinite variance innovation
It is an important task in the literature to check whether a fitted auto...
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09/16/2022
An Empirical Study of Automatic Post-Editing
Automatic post-editing (APE) aims to reduce manual post-editing efforts ...
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06/16/2022
Personalized Federated Learning via Variational Bayesian Inference
Federated learning faces huge challenges from model overfitting due to t...
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06/06/2022
Tucker tensor factor models for high-dimensional higher-order tensor observations
Higher-order tensor data are prevailing in a wide range of fields includ...
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05/28/2022
Low-rank Latent Matrix Factor-Analysis Modeling for Generalized Linear Regression with High-dimensional Imaging Biomarkers
Medical imaging has been recognized as a phenotype associated with vario...
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05/19/2022
Personalized Prompts for Sequential Recommendation
Pre-training models have shown their power in sequential recommendation....
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05/10/2022
Selective Fairness in Recommendation via Prompts
Recommendation fairness has attracted great attention recently. In real-...
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04/04/2022
Experimental quantum adversarial learning with programmable superconducting qubits
Quantum computing promises to enhance machine learning and artificial in...
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04/01/2022
Robust remote estimation over the collision channel in the presence of an intelligent jammer
We consider a sensor-receiver pair communicating over a wireless channel...
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03/20/2022
Multi-view Multi-behavior Contrastive Learning in Recommendation
Multi-behavior recommendation (MBR) aims to jointly consider multiple be...
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02/14/2022
UniParser: A Unified Log Parser for Heterogeneous Log Data
Logs provide first-hand information for engineers to diagnose failures i...
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02/08/2022
Rate-Distortion Theory for Strategic Semantic Communication
This paper analyzes the fundamental limit of the strategic semantic comm...
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01/26/2022
A two-step backward compatible fullband speech enhancement system
Speech enhancement methods based on deep learning have surpassed traditi...
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01/05/2022
SMDT: Selective Memory-Augmented Neural Document Translation
Existing document-level neural machine translation (NMT) models have suf...
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12/26/2021
Asynchronous Memory Access Unit for General Purpose Processors
In future data centers, applications will make heavy use of far memory (...
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11/17/2021
Topological and Algebraic Structures of the Space of Atanassov's Intuitionistic Fuzzy Values
We demonstrate that the space of intuitionistic fuzzy values (IFVs) with...
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10/28/2021
V2iFi: in-Vehicle Vital Sign Monitoring via Compact RF Sensing
Given the significant amount of time people spend in vehicles, health is...
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10/21/2021
Personalized Transfer of User Preferences for Cross-domain Recommendation
Cold-start problem is still a very challenging problem in recommender sy...
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10/13/2021
Data-Time Tradeoffs for Optimal k-Thresholding Algorithms in Compressed Sensing
Optimal k-thresholding algorithms are a class of sparse signal recovery ...
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05/31/2021
Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising
In recommender systems and advertising platforms, marketers always want ...
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05/11/2021
Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks
Recently, embedding techniques have achieved impressive success in recom...
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05/11/2021
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users
Cold-start problems are enormous challenges in practical recommender sys...
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04/07/2021
Numerics for Stochastic Distributed Parameter Control Systems: a Finite Transposition Method
In this chapter, we present some recent progresses on the numerics for s...
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02/22/2021
UPRec: User-Aware Pre-training for Recommender Systems
Existing sequential recommendation methods rely on large amounts of trai...
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12/31/2020
FDMT: A Benchmark Dataset for Fine-grained Domain Adaptation in Machine Translation
Previous domain adaptation research usually neglect the diversity in tra...
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12/22/2020
Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction
Developing link prediction models to automatically complete knowledge gr...
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11/20/2020
PIFE-PIC: Parallel Immersed-Finite-Element Particle-In-Cell For 3-D Kinetic Simulations of Plasma-Material Interactions
This paper presents a recently developed particle simulation code packag...
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10/15/2020
GMH: A General Multi-hop Reasoning Model for KG Completion
Knowledge graphs are essential for numerous downstream natural language ...
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08/17/2020
MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG
Automatic arrhythmia detection using 12-lead electrocardiogram (ECG) sig...
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08/11/2020
SENSEI: Aligning Video Streaming Quality with Dynamic User Sensitivity
This paper aims to improve video streaming by leveraging a simple observ...
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08/05/2020
Spectrally Sparse Signal Recovery via Hankel Matrix Completion with Prior Information
This paper studies the problem of reconstructing spectrally sparse signa...
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06/09/2020
UAV Secure Downlink NOMA Transmissions: A Secure Users Oriented Perspective
This paper proposes a secure downlink multi-user transmission scheme ena...
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05/19/2020