Works Published in 2023
Displaying works 1 - 20 of 232 in total
Sorted by most recent date added to the index first, which may not be the same as publication date order.
2023 article
TensorRT Implementations of Model Quantization on Edge SoC
2023 IEEE 16TH INTERNATIONAL SYMPOSIUM ON EMBEDDED MULTICORE/MANY-CORE SYSTEMS-ON-CHIP, MCSOC, pp. 486–493.
author keywords: deep neural networks; Network quantization; SoC; TensorRT; PyTorch; ONNX; edge device
Source: Web Of Science
Added: April 22, 2024
2023 article
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION, ICCV, pp. 5155–5165.
arxiv.org (repository)
Source: Web Of Science
Added: April 15, 2024
2023 article
Rethinking Data Distillation: Do Not Overlook Calibration
2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION, ICCV, pp. 4912–4922.
Source: Web Of Science
Added: April 15, 2024
2023 article
Toward Efficient Traffic Signal Control: Smaller Network Can Do More
2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDC, pp. 8069–8074.
TL;DR:
This work presents an efficient RL-based TSC solution for real-world contexts, offering insights into challenges and opportunities in the field and identifies a compact network via a removal-verification strategy, which yields an even sparser network.
(via Semantic Scholar)
Source: Web Of Science
Added: March 25, 2024
2023 article
SANN: Programming Code Representation Using Attention Neural Network with Optimized Subtree Extraction
PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023, pp. 783–792.
author keywords: program analysis; code representation; static analysis; algorithm detection; program correctness prediction
TL;DR:
The results indicate the effectiveness of the SANN model in capturing important syntactic and semantic information from students' code, allowing the construction of accurate student models, which serve as the foundation for generating adaptive instructional support such as individualized hints and feedback.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(OpenAlex)
Source: Web Of Science
Added: March 25, 2024
2023 article
AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization
56TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON MICROARCHITECTURE, MICRO 2023, pp. 628–640.
author keywords: Privacy-Preserving machine learning; Deep learning; FPGA; Quantization; Two-party computing
TL;DR:
AQ2PNN is introduced, an end-to-end framework that effectively employs adaptive quantization schemes to develop high-performance 2PC-DNNs on FPGAs and introduces an innovative 2PC-ReLU method to replace Yao’s Garbled Circuits.
(via Semantic Scholar)
Source: Web Of Science
Added: March 25, 2024
2023 article
NOVEL DEEP LEARNING FRAMEWORK FOR IMPUTING HOLES IN ORTHORECTIFIED VHR IMAGES
IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, pp. 5158–5161.
TL;DR:
A new deep learning architecture based on Wide Activation Super Resolution (WDSR) network combined with an Adaptive Instance Normalization (AdaIN) based style transfer for imputing holes (missing pixels) in orthorectified images is presented.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: March 25, 2024
2023 article
Demonstration of Joint SDR/UAV Experiment Development in AERPAW
MILCOM 2023 - 2023 IEEE MILITARY COMMUNICATIONS CONFERENCE.
TL;DR:
This demo exercises the main three flexible testbed capabilities, namely the ability of an experimenter to choose a wireless radio setup, a vehicle setup, and to set up traffic.
(via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: March 25, 2024
2023 journal article
Principles and Practices for Application-Network Co-Design in Edge Computing
IEEE NETWORK, 37(5), 137–144.
author keywords: Edge computing; Cloud computing; Costs; Quality of service; Throughput; Stakeholders; Resource management; Real-time systems; Low latency communication; Autonomous systems; Metaverse; Design engineering; Application software; Autonomous driving; Augmented virtuality; Virtual reality
TL;DR:
A new conceptual framework is described, called the application-network co-design approach, to align and direct efforts across application, computing and networking domains towards fully fledged edge computing.
(via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: March 25, 2024
2023 article
Towards a Multimodal Synchronized System for Quantifying Psychophysiological States in Canine Assisted Interactions
TENTH INTERNATIONAL CONFERENCE ON ANIMAL-COMPUTER INTERACTION, ACI 2023.
author keywords: human-canine interaction; pet therapy; psychophysiology; internet of things; physiological sensing; behavioral tracking; heart rate; electrodermal activity; accelerometer
Source: Web Of Science
Added: March 18, 2024
2023 article
An Exploration of Machine Learning Methods for Gait Analysis of Potential Guide Dogs
TENTH INTERNATIONAL CONFERENCE ON ANIMAL-COMPUTER INTERACTION, ACI 2023.
author keywords: Guide Dog; Canine Behavior Analysis; Canine Gait Analysis; IMU; Machine Learning
Source: Web Of Science
Added: March 18, 2024
2023 article
Toward In-the-Field Canine Manifold Learning: Data Fusion for Evaluation of Potential Guide Dogs
TENTH INTERNATIONAL CONFERENCE ON ANIMAL-COMPUTER INTERACTION, ACI 2023.
author keywords: manifold learning; LSTM; autoencoder; KPCA; canine monitoring
UN Sustainable Development Goal Categories
2. Zero Hunger
(OpenAlex)
Source: Web Of Science
Added: March 18, 2024
2023 article
Context Retrieval via Normalized Contextual Latent Interaction for Conversational Agent
2023 23RD IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS, ICDMW 2023, pp. 1543–1550.
TL;DR:
A novel method is presented, PK-NCLI, that is able to accurately and efficiently identify relevant auxiliary information to improve the quality of conversational responses by learning the relevance among persona, chat history, and knowledge background through lowlevel normalized contextual latent interaction.
(via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: March 18, 2024
2023 journal article
A Secure and Efficient Protocol for LoRa Using Cryptographic Hardware Accelerators
IEEE INTERNET OF THINGS JOURNAL, 10(24), 22143–22152.
author keywords: Cryptographic hardware acceleration; elliptic curve cryptography; encryption; energy efficiency; long range (LoRa); long-range wide-area network (LoRaWAN)
TL;DR:
A modified LoRaWAN protocol with a hardware-based cryptographic coprocessor that includes secure on-chip key storage for encryption, decryption, and digital signature creation is proposed that reduces the energy utilization of the wireless nodes while addressing several of the Lo RaWAN threat surfaces.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: March 18, 2024
2023 article
FAST OPTIMAL TRANSPORT FOR LATENT DOMAIN ADAPTATION
2023 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, pp. 1810–1814.
author keywords: Optimal Transport; Domain Adaptation
TL;DR:
An algorithm is proposed that uses optimal transport theory with a verifiably efficient and implementable solution to learn the best latent feature representation for unsupervised Domain Adaptation.
(via Semantic Scholar)
Source: Web Of Science
Added: March 11, 2024
2023 article
XAI to Increase the Effectiveness of an Intelligent Pedagogical Agent
PROCEEDINGS OF THE 23RD ACM INTERNATIONAL CONFERENCE ON INTELLIGENT VIRTUAL AGENTS, IVA 2023.
TL;DR:
Empirical study shows the IPA with personalized explanations significantly improves students' learning outcomes compared to the other versions of the Intelligent Pedagogical Agent.
(via Semantic Scholar)
Source: Web Of Science
Added: March 11, 2024
2023 journal article
Graph Neural Networks for Joint Communication and Sensing Optimization in Vehicular Networks
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 41(12), 3893–3907.
author keywords: Sensors; Interference; Topology; Feature extraction; Network topology; Heuristic algorithms; Vehicle dynamics; Joint communication and sensing; terahertz; vehicular networks; graph neural networks
TL;DR:
A graph neural network (GNN) based algorithm with a heterogeneous graph representation is proposed that can achieve 93.66% of the sum rate achieved by the optimal solution, and yield up to 3.16% and 31.86% improvements in sum rate, respectively, over a homogeneous GNN-based algorithm and a conventional optimization algorithm without using GNNs.
(via Semantic Scholar)
Source: Web Of Science
Added: March 4, 2024
2023 article
RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery
PROCEEDINGS OF THE 29TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, KDD 2023, pp. 5901–5902.
TL;DR:
The proposed international workshop on "Resource-Efficient Learning for Knowledge Discovery (RelKD 2023)" will provide a great venue for academic researchers and industrial practitioners to share challenges, solutions, and future opportunities of resource-efficient learning.
(via Semantic Scholar)
Source: Web Of Science
Added: March 4, 2024
2023 article
DeMaTO: An Ontology for Modeling Transactional Behavior in Decentralized Marketplaces
2023 IEEE INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY, WI-IAT, pp. 171–180.
author keywords: Blockchain Transactions; Marketplaces; Ontology
TL;DR:
This paper proposes an ontology DeMaTO for modeling transactional behavior on blockchains as a foundation for extending blockchain transaction primitives and illustrates how DeMaTO can be used in blockchain transaction modeling and its value with respect to blockchain queryability and transaction validation.
(via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: March 4, 2024
2023 article
Towards Reliable Rare Category Analysis on Graphs via Individual Calibration
PROCEEDINGS OF THE 29TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, KDD 2023, pp. 2629–2638.
author keywords: Rare category analysis; confidence calibration; graph mining
TL;DR:
To quantify the uncertainties in RCA, a node-level uncertainty quantification algorithm is developed to model the overlapping support regions with high uncertainty; to handle the rarity of minority classes in miscalibration calculation, a distribution-based calibration metric is generalized to the instance level and the first individual calibration measurement on graphs is proposed.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions
(OpenAlex)
Source: Web Of Science
Added: March 4, 2024
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