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๐Ÿ” hua qi ๐Ÿ“‚ Engineering
Showing 196 results for "hua qi" in Engineering
Engineering Preprint PDF DOI

Learning Human-Intention Priors from Large-Scale Human Demonstrations for Robotic Manipulation

Yifan Xie, YuAn Wang, Guangyu Chen, Jinkun Liu, Yu Sun, Wenbo Ding ยท 2026

Human videos contain rich manipulation priors, but using them for robot learning remains difficult because raw observations entangle scene understanding, human motion, and embodiment-specific action. โ€ฆ

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Engineering Preprint PDF DOI

An Explainable Approach to Document-level Translation Evaluation with Topic Modeling

Hyeokmin Lee, Youngkyu Kim, Byounghyun Yoo ยท 2026

The advent of NMT has expanded the scope of translation beyond isolated sentences, enabling context to be preserved across paragraphs and documents. However, current evaluation metrics largely remain โ€ฆ

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Engineering Preprint PDF DOI

Scenario-Based Stochastic MPC for Energy Hubs with EV Fleets Under Persistent Grid Outages

Kobena Badu Enyam, Cara Koepele, Timothy Asare, Kevin Wallington, John Lygeros ยท 2026

Emissions reduction and resilience to outages motivate the adoption of renewable microgrids. Surprisingly, research integrating both probabilistic grid outages and electric vehicle (EV) charging requiโ€ฆ

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Engineering Preprint PDF DOI

Joint Device Pairing and Bandwidth Allocation Optimisation for Semantic Feature Multiple Access Networks

Jiaxiang Wang, Zhaohui Yang, Mingzhe Chen, Mohammad Shikh-Bahaei ยท 2026

This paper presents a Semantic Feature Multiple Access (SFMA) framework for multi-user semantic communication in downlink wireless systems. By extending SwinJSCC to a two-user superimposition paradigmโ€ฆ

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Engineering Preprint PDF DOI

State-space fading memory

Gustave Bainier, Antoine Chaillet, Rodolphe Sepulchre, Alessio Franci ยท 2026

The fading-memory (FM) property captures the progressive loss of influence of past inputs on a system's current output and has originally been formalized by Boyd and Chua in an operator-theoretic framโ€ฆ

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Engineering Preprint PDF DOI

WAKE-NET: 3D-Wake-Aware Turbine Layout and Cabling Optimization Framework of Multi-Hub-Height Wind Farms for Grid-Scale and Industrial Power Systems

Ann Mary Toms, Xingpeng Li ยท 2026

The global transition towards renewable energy has accelerated the deployment of utility-scale wind farms, increasing the need for accurate performance and economic assessments. Although wind energy oโ€ฆ

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Engineering Preprint PDF DOI

Reinforcement Learning for Vehicle-to-Grid Voltage Regulation: Single-Hub to Multi-Hub Coordination with Battery-Aware Constraints

Jingbo Wang, Roshni Anna Jacob, Harshal D. Kaushik, Jie Zhang ยท 2026

This paper presents a Vehicle-to-Grid (V2G) coordination framework using reinforcement learning (RL). {An intelligent control strategy based on the soft actor-critic algorithm is developed for voltageโ€ฆ

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Engineering Preprint PDF DOI

Codebook Design and Baseband Precoding for Pragmatic Array-Fed RIS Hybrid Multiuser MIMO

Krishan Kumar Tiwari, Giuseppe Caire ยท 2026

In our previous work [2], we introduced a hardware- and power-efficient architecture for hybrid digital-analog (HDA) multiuser MIMO (MU-MIMO) based on stacking identical basic modules. Each module conโ€ฆ

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Engineering Preprint PDF DOI

(hu)Man vs. Machine: In the Future of Motorsport, can Autonomous Vehicles Compete?

Armand Amaritei, Amber-Lily Blackadder, Sebastian Donnelly, Lora Hernandez, James Vine, Alexander Rast, Matthias Rolf, Andrew Bradley ยท 2026

Motorsport has historically driven technological innovation in the automotive industry. Autonomous racing provides a proving ground to push the limits of performance of autonomous vehicle (AV) systemsโ€ฆ

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Engineering Preprint PDF DOI

Design and Characterization of a Dual-DOF Soft Shoulder Exosuit with Volume-Optimized Pneumatic Actuator

Rui Chen, Domenico Chiaradia, Daniele Leonardis, Antonio Frisoli ยท 2026

Portable pneumatic systems for 2 degree-of-freedom (DOF) soft shoulder exosuits remain underexplored, and face fundamental trade-offs between torque output and dynamic response that are further compouโ€ฆ

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Engineering Preprint PDF DOI

SIRUP: A diffusion-based virtual upmixer of steering vectors for highly-directive spatialization with first-order ambisonics

Emilio Picard (RIKEN AIP, UP1 EMS), Diego Di Carlo (RIKEN AIP, IP Paris), Aditya Arie Nugraha (RIKEN AIP), Mathieu Fontaine (LTCI, IP Paris), Kazuyoshi Yoshii (RIKEN AIP) ยท 2026

This paper presents virtual upmixing of steering vectors captured by a fewer-channel spherical microphone array. This challenge has conventionally been addressed by recovering the directions and signaโ€ฆ

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Engineering Preprint PDF DOI

Healthcare Facility Assignment Using Real-Time Length-of-Stay Predictions: Queuing-Theoretic and Simulation-driven Machine Learning Approaches

Najiya Fatma, Varun Ramamohan ยท 2026

Longer stays at healthcare facilities, driven by uncertain patient load, inefficient patient flow, and lack of real-time information about medical care, pose significant challenges for patients and heโ€ฆ

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Engineering Preprint PDF DOI

Regulatory Hub Discovery in MDD Methylome: Hypotheses for Molecular Subtypes via Computational Analysis

Mingyan Liu, Min Huang ยท 2026

Major Depressive Disorder (MDD) is a clinically heterogeneous syndrome with diverse etiological pathways. Traditional Epigenome-Wide Association Studies (EWAS) have successfully identified risk loci bโ€ฆ

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Engineering Preprint PDF DOI

Electrical Design of a Clean Offshore Heat and Power (CleanOFF) Hub

Maiken Borud Omtveit, Qian Long, Valentin Chabaud, Marte Ruud-Olsen, Steinar Halsne, Tor-Christian Ystgaard ยท 2026

This paper presents an innovative offshore solution where oil & gas platform clusters are powered by a wind farm and a hydrogen hub. The results show a feasible off-grid design as an alternative to coโ€ฆ

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Engineering Preprint PDF DOI

Learning to Feel the Future: DreamTacVLA for Contact-Rich Manipulation

Guo Ye, Zexi Zhang, Xu Zhao, Shang Wu, Haoran Lu, Shihan Lu, Han Liu ยท 2025

Vision-Language-Action (VLA) models have shown remarkable generalization by mapping web-scale knowledge to robotic control, yet they remain blind to physical contact. Consequently, they struggle with โ€ฆ

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Engineering Preprint PDF DOI

Treble10: A high-quality dataset for far-field speech recognition, dereverberation, and enhancement

Sarabeth S. Mullins, Georg Gotz, Eric Bezzam, Steven Zheng, Daniel Gert Nielsen ยท 2025

Accurate far-field speech datasets are critical for tasks such as automatic speech recognition (ASR), dereverberation, speech enhancement, and source separation. However, current datasets are limited โ€ฆ

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Engineering Preprint PDF DOI

ReFESS-QI: Reference-Free Evaluation For Speech Separation With Joint Quality And Intelligibility Scoring

Ari Frummer, Helin Wang, Tianyu Cao, Adi Arbel, Yuval Sieradzki, Oren Gal, Jesus Villalba, Thomas Thebaud, Najim Dehak ยท 2025

Source separation is a crucial pre-processing step for various speech processing tasks, such as automatic speech recognition (ASR). Traditionally, the evaluation metrics for speech separation rely on โ€ฆ

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Engineering Preprint PDF DOI

Physicochemically Informed Dual-Conditioned Generative Model of T-Cell Receptor Variable Regions for Cellular Therapy

Jiahao Ma, Hongzong Li, Ye-Fan Hu, Jian-Dong Huang ยท 2025

Physicochemically informed biological sequence generation has the potential to accelerate computer-aided cellular therapy, yet current models fail to \emph{jointly} ensure novelty, diversity, and biopโ€ฆ

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Engineering Preprint PDF DOI

DiffAU: Diffusion-Based Ambisonics Upscaling

Amit Milstein, Nir Shlezinger, Boaz Rafaely ยท 2025

Spatial audio enhances immersion by reproducing 3D sound fields, with Ambisonics offering a scalable format for this purpose. While first-order Ambisonics (FOA) notably facilitates hardware-efficient โ€ฆ

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Engineering Preprint PDF DOI

Hierarchical Diffusion Motion Planning with Task-Conditioned Uncertainty-Aware Priors

Amelie Minji Kim, Anqi Wu, Ye Zhao ยท 2025

We propose a novel hierarchical diffusion planner that embeds task and motion structure directly into the noise model. Unlike standard diffusion-based planners that rely on zero-mean, isotropic Gaussiโ€ฆ

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