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08/21/2023
Practical Parallel Algorithms for Non-Monotone Submodular Maximization
Submodular maximization has found extensive applications in various doma...
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07/13/2023
Leveraging Pretrained ASR Encoders for Effective and Efficient End-to-End Speech Intent Classification and Slot Filling
We study speech intent classification and slot filling (SICSF) by propos...
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05/12/2023
MM-Fi: Multi-Modal Non-Intrusive 4D Human Dataset for Versatile Wireless Sensing
4D human perception plays an essential role in a myriad of applications,...
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05/08/2023
Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition
Conformer-based models have become the most dominant end-to-end architec...
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04/13/2023
Efficient Sequence Transduction by Jointly Predicting Tokens and Durations
This paper introduces a novel Token-and-Duration Transducer (TDT) archit...
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09/16/2022
PA-Boot: A Formally Verified Authentication Protocol for Multiprocessor Secure Boot
Hardware supply-chain attacks are raising significant security threats t...
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08/23/2022
Towards Natural Language-Based Visualization Authoring
A key challenge to visualization authoring is the process of getting fam...
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08/22/2022
MetaFi: Device-Free Pose Estimation via Commodity WiFi for Metaverse Avatar Simulation
Avatar refers to a representative of a physical user in the virtual worl...
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03/21/2022
ME-Net: Multi-Encoder Net Framework for Brain Tumor Segmentation
Glioma is the most common and aggressive brain tumor. Magnetic resonance...
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12/20/2021
Translational Concept Embedding for Generalized Compositional Zero-shot Learning
Generalized compositional zero-shot learning means to learn composed con...
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08/18/2021
The Multi-Modal Video Reasoning and Analyzing Competition
In this paper, we introduce the Multi-Modal Video Reasoning and Analyzin...
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06/27/2021
AniVis: Generating Animated Transitions Between Statistical Charts with a Tree Model
Animated transitions help viewers understand changes between related vis...
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06/14/2021
The Power of Randomization: Efficient and Effective Algorithms for Constrained Submodular Maximization
Submodular optimization has numerous applications such as crowdsourcing ...
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06/13/2021
Hash Adaptive Bloom Filter
Bloom filter is a compact memory-efficient probabilistic data structure ...
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03/29/2021
TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events
Traffic event cognition and reasoning in videos is an important task tha...
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09/28/2020
Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score
Scene graph parsing aims to detect objects in an image scene and recogni...
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08/10/2020
Cooperative Communications for Internet of Everything in B5G/6G Hybrid and Ubiquitous Networks: Foundation, Further Optimization and Solutions
Cooperative Communications (CC) has been one of most critical communicat...
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07/30/2020
Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge
Multi-label zero-shot classification aims to predict multiple unseen cla...
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05/28/2020
Travel Time Prediction using Tree-Based Ensembles
In this paper, we consider the task of predicting travel times between t...
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05/04/2020
FDMA with Layers-based Optimized Mobile Relays Subsets Algorithm in B5G/6G Cognitive IoT Networks
In view of noteworthy communications performance improvements for future...
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01/17/2020
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
Visual object detection is a computer vision-based artificial intelligen...
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09/11/2019
Generalized Optimal Two-way Relays Subsets Pairings in Cloud-based Region Cognitive Networks
Communication reliability improving is one of most important research re...
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08/20/2019
Consistent Scale Normalization for Object Recognition
Scale variation remains a challenge problem for object detection. Common...
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07/22/2019
Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements
Combining data content with visual embellishments, infographics can effe...
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12/25/2018
On-Demand Video Dispatch Networks: A Scalable End-to-End Learning Approach
We design a dispatch system to improve the peak service quality of video...
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11/12/2018
Generative Dual Adversarial Network for Generalized Zero-shot Learning
This paper studies the problem of generalized zero-shot learning which r...
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08/29/2018
dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction
Mood disorders are common and associated with significant morbidity and ...
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08/25/2018
NavigationNet: A Large-scale Interactive Indoor Navigation Dataset
Indoor navigation aims at performing navigation within buildings. In sce...
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05/18/2018
MARS: Memory Attention-Aware Recommender System
In this paper, we study the problem of modeling users' diverse interests...
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05/08/2018
Functional Variable Selection for EMG-based Control of a Robotic Hand Prosthetic
State-of-the-art robotic hand prosthetics generate finger and wrist move...
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03/12/2018
An Introduction to Image Synthesis with Generative Adversarial Nets
There has been a drastic growth of research in Generative Adversarial Ne...
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12/12/2017
Ergodic Capacity of Composite Fading Channels in Cognitive Radios with the Product of κ-μ and α-μ Variates
In this study, the product of two independent and non-identically distri...
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12/12/2017