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08/31/2023
DECODE: DilatEd COnvolutional neural network for Detecting Extreme-mass-ratio inspirals
The detection of Extreme Mass Ratio Inspirals (EMRIs) is intricate due t...
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07/12/2023
FAIRO: Fairness-aware Adaptation in Sequential-Decision Making for Human-in-the-Loop Systems
Achieving fairness in sequential-decision making systems within Human-in...
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06/22/2023
Reinforcement Federated Learning Method Based on Adaptive OPTICS Clustering
Federated learning is a distributed machine learning technology, which r...
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06/01/2023
Focused Prefix Tuning for Controllable Text Generation
In a controllable text generation dataset, there exist unannotated attri...
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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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06/24/2022
End-to-End Text-to-Speech Based on Latent Representation of Speaking Styles Using Spontaneous Dialogue
The recent text-to-speech (TTS) has achieved quality comparable to that ...
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04/29/2022
A Digital Twin Framework for Cyber Security in Cyber-Physical Systems
Currently, most of the research in digital twins focuses on simulation a...
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02/18/2022
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network
Heterogeneous Graph Neural Network (HGNN) has been successfully employed...
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12/15/2021
Ensuring DNN Solution Feasibility for Optimization Problems with Convex Constraints and Its Application to DC Optimal Power Flow Problems
Ensuring solution feasibility is a key challenge in developing Deep Neur...
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07/10/2021
Weaving Attention U-net: A Novel Hybrid CNN and Attention-based Method for Organs-at-risk Segmentation in Head and Neck CT Images
In radiotherapy planning, manual contouring is labor-intensive and time-...
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03/11/2021
CORSAIR: Convolutional Object Retrieval and Symmetry-AIded Registration
This paper considers online object-level mapping using partial point-clo...
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09/21/2020
Semi-supervised Semantic Segmentation of Organs at Risk on 3D Pelvic CT Images
Automated segmentation of organs-at-risk in pelvic computed tomography (...
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09/15/2020
Multi-Referenced Training for Dialogue Response Generation
In open-domain dialogue response generation, a dialogue context can be c...
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08/11/2020
ARPM-net: A novel CNN-based adversarial method with Markov Random Field enhancement for prostate and organs at risk segmentation in pelvic CT images
Purpose: The research is to develop a novel CNN-based adversarial deep l...
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07/02/2020
DeepOPF: A Feasibility-Optimized Deep Neural Network Approach for AC Optimal Power Flow Problems
The AC-OPF problem is the key and challenging problem in the power syste...
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04/23/2020
End-to-end speech-to-dialog-act recognition
Spoken language understanding, which extracts intents and/or semantic co...
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04/10/2020
Designing Precise and Robust Dialogue Response Evaluators
Automatic dialogue response evaluator has been proposed as an alternativ...
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10/30/2019
DeepOPF: A Deep Neural Network Approach for Security-Constrained DC Optimal Power Flow
We develop DeepOPF as a Deep Neural Network (DNN) approach for solving s...
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07/12/2019
Effective Incorporation of Speaker Information in Utterance Encoding in Dialog
In dialog studies, we often encode a dialog using a hierarchical encoder...
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05/31/2019
Content Word-based Sentence Decoding and Evaluating for Open-domain Neural Response Generation
Various encoder-decoder models have been applied to response generation ...
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12/11/2018