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๐Ÿ” guoding liu ๐Ÿ“‚ Engineering
Showing 5592 results for "guoding liu" in Engineering
Engineering Preprint PDF DOI

GreenScatter: Through-Canopy Soil Moisture Sensing with UAV-Mounted Radar

Luke Jacobs, Ishfaq Aziz, Benhao Lu, Alireza Tabatabaeenejad, Mohamad Alipour, Elahe Soltanaghai ยท 2026

Soil moisture is a critical variable for managing irrigation, improving crop yield, and understanding field-scale hydrology. Radars mounted on unmanned aerial vehicles (UAVs) offer a promising means tโ€ฆ

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AMO-ENE: Attention-based Multi-Omics Fusion Model for Outcome Prediction in Extra Nodal Extension and HPV-associated Oropharyngeal Cancer

Gautier Henique, William Le, Gabriel Dayan, Coralie Brodeur, Kristoff Nelson, Apostolos Christopoulos, Edith Filion, Phuc-Felix Nguyen-Tan, Laurent Letourneau-Guillon, Houda Bahig, Samuel Kadoury ยท 2026

Extranodal extension (ENE) is an emerging prognostic factor in human papillomavirus (HPV)-associated oropharyngeal cancer (OPC), although it is currently omitted as a clinical staging criteria. Recentโ€ฆ

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Engineering Preprint PDF DOI

Semantic Feature Multiple Access Empowered Integrated Learning and Communication Networks

Jiaxiang Wang, Zhouxiang Zhao, Yahao Ding, Zhijin Qin, Zhaohui Yang, Mingzhe Chen, Mohammad Shikh-Bahaei ยท 2026

Integrated learning and communication (ILAC) unifies learned transceivers with radio resource management, where semantic feature multiple access (SFMA) enables paired users to superpose their learned โ€ฆ

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Spectral Kernel Dynamics via Maximum Caliber: Fixed Points, Geodesics, and Phase Transitions

Jnaneshwar Das ยท 2026

We derive a closed-form geometric functional for kernel dynamics on finite graphs by applying the Maximum Caliber (MaxCal) variational principle to the spectral transfer function h(lambda) of the grapโ€ฆ

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Enhancing Conversational TTS with Cascaded Prompting and ICL-Based Online Reinforcement Learning

Zhicheng Ouyang, Seong-Gyun Leem, Bach Viet Do, Haibin Wu, Ariya Rastrow, Yuzong Liu, Florian Metze ยท 2026

Conversational AI has made significant progress, yet generating expressive and controllable text-to-speech (TTS) remains challenging. Specifically, controlling fine-grained voice styles and emotions iโ€ฆ

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Engineering Preprint PDF DOI

Wideband Compressed-Domain Cramer-Rao Bounds for Near-Field XL-MIMO: Data and Geometric Diversity Decomposition

R{i}fat Volkan Senyuva ยท 2026

Wideband orthogonal frequency-division multiplexing (OFDM) over near-field extremely large-scale MIMO (XL-MIMO) arrays introduces a coupled beam-squint and wavefront-curvature effect that renders singโ€ฆ

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Semantic-Aware UAV Command and Control for Efficient IoT Data Collection

Assane Sankara, Daniel Bonilla Licea, Hajar El Hammouti ยท 2026

Unmanned Aerial Vehicles (UAVs) have emerged as a key enabler technology for data collection from Internet of Things (IoT) devices. However, effective data collection is challenged by resource constraโ€ฆ

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A H.265/HEVC Fine-Grained ROI Video Encryption Algorithm Based on Coding Unit and Prompt Segmentation

Xiang Zhang, Haoyan Lu, Ziqiang Li, Ziwen He, Zhenshan Tan, Fei Peng, Zhangjie Fu ยท 2026

ROI (Region of Interest) video selective encryption based on H.265/HEVC is a technology that protects the sensitive regions of videos by perturbing the syntax elements associated with target areas. Hoโ€ฆ

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Data-Driven Unknown Input Reconstruction for MIMO Systems with Convergence Guarantees

Enno Breukelman, Takumi Shinohara, Joowon Lee, Henrik Sandberg ยท 2026

In this paper, we consider data-driven reconstruction of unknown inputs to linear time-invariant (LTI) multiple-input multiple-output (MIMO) systems. We propose a novel autoregressive estimator based โ€ฆ

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Object-Attribute-Relation Model Driven Adaptive Hierarchical Transmission for Multimodal Semantic Communication

Chenxing Li, Yiping Duan, Han Jiao, Xiaoming Tao, Weiyao Lin, Mingquan Lu ยท 2026

Traditional video coding (VVC, HEVC) prioritizes human visual perception, transmitting substantial texture redundancy that severely hinders machine decision-making under constrained bandwidths. In dynโ€ฆ

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Toward Generalizable Graph Learning for 3D Engineering AI: Explainable Workflows for CAE Mode Shape Classification and CFD Field Prediction

Tong Duy Son, Kohta Sugiura, Marc Brughmans, Andrey Hense, Zhihao Liu, Amirthalakshmi Veeraraghavan, Ajinkya Bhave, Jay Masters, Paolo di Carlo, Theo Geluk ยท 2026

Automotive engineering development increasingly relies on heterogeneous 3D data, including finite element (FE) models, body-in-white (BiW) representations, CAD geometry, and CFD meshes. At the same tiโ€ฆ

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Channel Estimation and LDPC Decoding for Bursty Phase Noise

Han Cui, Frank R. Kschischang, Magnus Karlsson, Erik Agrell ยท 2026

Time-varying distortions in communication systems can significantly degrade the performance of soft-decision forward error correction. This paper presents a burst-aware (BA) low-density parity-check (โ€ฆ

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SSBI-Free Direct Detection via Phase Diverse of Residual Optical Carrier Enabled by Finite Extinction Ratio IQ Modulator for Datacenter Interconnections

Xiaobo Zeng, Liangcai Chen, Pan Liu, Ruonan Deng ยท 2026

Cost-effective, low-complexity and spectrally efficient interconnection can offer fundamental guiding law for future datacenter. In this work, we demonstrate a cost-efficient SSBI-free direct detectioโ€ฆ

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FOSSA: First-Order Optimality-Based Sensor Selection for PINN Inverse Problems, with Application to Electrocardiographic Imaging

Jianxin Xie ยท 2026

Physics-informed neural networks (PINNs) have emerged as a powerful framework for modeling physical systems and solving inverse problems. In such settings, sensors are deployed to capture observable sโ€ฆ

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G-AMC: A Green Automatic Modulation Classification Method

Chee-An Yu, Young-Kai Chen, C.-C. Jay Kuo ยท 2026

In this work, we propose an efficient and transparent green learning pipeline to address the automatic modulation classification (AMC) problem. This pipeline aims to enable receivers to blindly identiโ€ฆ

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Brain-to-Speech: Prosody Feature Engineering and Transformer-Based Reconstruction

Mohammed Salah Al-Radhi, Geza Nemeth, Andon Tchechmedjiev, Binbin Xu ยท 2026

This chapter presents a novel approach to brain-to-speech (BTS) synthesis from intracranial electroencephalography (iEEG) data, emphasizing prosody-aware feature engineering and advanced transformer-bโ€ฆ

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Quantifying Control Performance Loss for a Least Significant Bits Authentication Scheme

Bart Wolleswinkel, Riccardo Ferrari ยท 2026

Industrial control systems (ICSs) often consist of many legacy devices, which were designed without security requirements in mind. With the increase in cyberattacks targeting critical infrastructure, โ€ฆ

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Semantic Communication with an LLM-enabled Knowledge Base

Wuxia Hu, Caili Guo, Yang Yang, Chunyan Feng, Kuiyuan Ding, Shiwen Mao ยท 2026

Semantic communication (SC) can achieve superior coding and transmission performance based on the knowledge contained in the semantic knowledge base (KB). However, conventional KBs consist of source Kโ€ฆ

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CI-ICM: Channel Importance-driven Learned Image Coding for Machines

Yun Zhang, Junle Liu, Huan Zhang, Zhaoqing Pan, Gangyi Jiang, Weisi Lin ยท 2026

Traditional human vision-centric image compression methods are suboptimal for machine vision centric compression due to different visual properties and feature characteristics. To address this problemโ€ฆ

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Final Report, Center for Computer-Integrated Computer-Integrated Surgical Systems and Technology, NSF ERC Cooperative Agreement EEC9731748, Volume 1

Russell H. Taylor, Gregory D. Hager, Ralph Etienne-Cummings. Eric Grimson, Ron Kikinis, Cameron Riviere ยท 2026

In the last ten years, medical robotics has moved from the margins to the mainstream. Since the Engineering Research Center for Computer-Integrated Surgical Systems and Technology was Launched in 1998โ€ฆ

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