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08/20/2023
Enhancing In-Situ Structural Health Monitoring through RF Energy-Powered Sensor Nodes and Mobile Platform
This research contributes to long-term structural health monitoring (SHM...
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06/28/2023
An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs
In recent years, Transformer-based language models have become the stand...
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06/05/2023
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic
Learning high-quality Q-value functions plays a key role in the success ...
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06/01/2023
Blockchain-based Decentralized Co-governance: Innovations and Solutions for Sustainable Crowdfunding
This thesis provides an in-depth exploration of the Decentralized Co-gov...
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05/31/2023
Perception and Semantic Aware Regularization for Sequential Confidence Calibration
Deep sequence recognition (DSR) models receive increasing attention due ...
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03/13/2023
Context-Aware Selective Label Smoothing for Calibrating Sequence Recognition Model
Despite the success of deep neural network (DNN) on sequential data (i.e...
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10/15/2022
When to Update Your Model: Constrained Model-based Reinforcement Learning
Designing and analyzing model-based RL (MBRL) algorithms with guaranteed...
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08/22/2022
Type-enriched Hierarchical Contrastive Strategy for Fine-Grained Entity Typing
Fine-grained entity typing (FET) aims to deduce specific semantic types ...
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08/05/2022
ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding
Visual question answering is an important task in both natural language ...
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10/27/2021
Spatio-Temporal Federated Learning for Massive Wireless Edge Networks
This paper presents a novel approach to conduct highly efficient federat...
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06/20/2021
Bayesian inference for continuous-time hidden Markov models with an unknown number of states
We consider the modeling of data generated by a latent continuous-time M...
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03/17/2021
A Robust Tube-Based Smooth-MPC for Robot Manipulator Planning
Model Predictive Control (MPC) has shown the great performance of target...
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03/06/2021
Bayesian Doubly Robust Causal Inference via Loss Functions
Frequentist inference has a well-established supporting theory for doubl...
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02/13/2021
Hardware Architecture of Wireless Power Transfer, RFID, and WIPT Systems
In this work, we provide an overview of the hardware architecture of wir...
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01/01/2021
Adaptive Deconvolution-based stereo matching Net for Local Stereo Matching
In deep learning-based local stereo matching methods, larger image patch...
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12/31/2019
Practical Issues of Energy Harvesting and Data Transmissions in Sustainable IoT
The sustainable Internet of Things (IoT) is becoming a promising solutio...
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07/16/2019
Quantum Data Fitting Algorithm for Non-sparse Matrices
We propose a quantum data fitting algorithm for non-sparse matrices, whi...
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06/24/2019
Bayesian Nonparametric Clustering of Continuous-Time Hidden Markov Models for Health Trajectories
We develop clustering procedures for healthcare trajectories based on a ...
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05/08/2019
Pilot evaluation of Collection API with PID Kernel Information
Persistent Identifier (PID) is a widely used long-term unique reference ...
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12/03/2018
Modeling disease progression in longitudinal EHR data using continuous-time hidden Markov models
Modeling disease progression in healthcare administrative databases is c...
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08/28/2018
ARBEE: Towards Automated Recognition of Bodily Expression of Emotion In the Wild
Humans are arguably innately prepared to possess the ability to comprehe...
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02/28/2018