Expertini Research Research

Browse Research Papers

67+ open-access research outputs.

✕ Clear
🔍 xiaohan zhang 📂 Engineering
Showing 67 results for "xiaohan zhang" in Engineering
Engineering Preprint PDF DOI

Navigating the Clutter: Waypoint-Based Bi-Level Planning for Multi-Robot Systems

Jiabao Ji, Yongchao Chen, Yang Zhang, Ramana Rao Kompella, Chuchu Fan, Gaowen Liu, Shiyu Chang · 2026

Multi-robot control in cluttered environments is a challenging problem that involves complex physical constraints, including robot-robot collisions, robot-obstacle collisions, and unreachable motions.…

Read Paper →
Engineering Preprint PDF DOI

UniPASE: A Generative Model for Universal Speech Enhancement with High Fidelity and Low Hallucinations

Xiaobin Rong, Zheng Wang, Yushi Wang, Jun Gao, Jing Lu · 2026

Universal speech enhancement (USE) aims to restore speech signals from diverse distortions across multiple sampling rates. We propose UniPASE, an extension of the low-hallucination PASE framework tail…

Read Paper →
Engineering Preprint PDF DOI

Data-Driven Reachability Analysis Using Matrix Perturbation Theory

Peng Xie, Abdulla Fawzy, Zhen Zhang, Amr Alanwar · 2026

We propose a matrix zonotope perturbation framework that leverages matrix perturbation theory to characterize how noise-induced distortions alter the dynamics within sets of models. The framework deri…

Read Paper →
Engineering Preprint PDF DOI

Second Order Physics-Informed Learning of Road Density using Probe Vehicles

S. Betancur Giraldo, J. M{aa}rtensson, M. Barreau · 2026

We propose a Physics Informed Learning framework for reconstructing traffic density from sparse trajectory data. The approach combines a second-order Aw-Rascle and Zhang model with a first-order train…

Read Paper →
Engineering Preprint PDF DOI

GAP-URGENet: A Generative-Predictive Fusion Framework for Universal Speech Enhancement

Xiaobin Rong, Yushi Wang, Zheng Wang, Jing Lu · 2026

We introduce GAP-URGENet, a generative-predictive fusion framework developed for Track 1 of the ICASSP 2026 URGENT Challenge. The system integrates a generative branch, which performs full-stack speec…

Read Paper →
Engineering Preprint PDF DOI

StuPASE: Towards Low-Hallucination Studio-Quality Generative Speech Enhancement

Xiaobin Rong, Jun Gao, Zheng Wang, Mansur Yesilbursa, Kamil Wojcicki, Jing Lu · 2026

Achieving high perceptual quality without hallucination remains a challenge in generative speech enhancement (SE). A representative approach, PASE, is robust to hallucination but has limited perceptua…

Read Paper →
Engineering Preprint PDF DOI

STRIDE: Post-Training LLMs to Reason and Refine Bio-Sequences via Edit Trajectories

Daiheng Zhang, Shiyang Zhang, Sizhuang He, Yangtian Zhang, Syed Asad Rizvi, David van Dijk · 2026

Discrete biological sequence optimization requires iterative refinement under strict syntactic constraints. Diffusion models offer progressive refinement but do not naturally expose controllable discr…

Read Paper →
Engineering Preprint PDF DOI

TokCom-UEP: Semantic Importance-Matched Unequal Error Protection for Resilient Image Transmission

Kaizheng Zhang, Zuolin Jin, Zhihang Cheng, Ming Zeng, Li Qiao, Zesong Fei · 2025

Based on the provided LaTeX code, here is the metadata for the submission form: Title: TokCom-UEP: Semantic Importance-Matched Unequal Error Protection for Resilient Image Transmission Author(s): Kaiz…

Read Paper →
Engineering Preprint PDF DOI

Event-Triggered Regulation of Mixed-Autonomy Traffic Under Varying Traffic Conditions

Yihuai Zhang, Huan Yu · 2025

Modeling and congestion mitigation of mixed-autonomy traffic systems consisting of human-driven vehicles (HVs) and autonomous vehicles (AVs) have become increasingly critical with the rapid developmen…

Read Paper →
Engineering Preprint PDF DOI

Single-Rod Brachiation Robot: Mechatronic Control Design and Validation of Prejump Phases

Juraj Lieskovsky, Hijiri Akahane, Aoto Osawa, Jaroslav Busek, Ikuo Mizuuchi, Tomas Vyhlidal · 2025

A complete mechatronic design of a minimal configuration brachiation robot is presented. The robot consists of a single rigid rod with gripper mechanisms attached to both ends. The grippers are used t…

Read Paper →
Engineering Preprint PDF DOI

Extensions of a Line-Graph-Based Method for Token Routing in Decentralized Exchanges

Yu Zhang, Claudio J.Tessone · 2025

Decentralized exchanges (DEXs) form a cornerstone of the decentralized finance (DeFi) ecosystem, processing token trades worth billions of dollars daily. Yet, a significant fraction of these trades ar…

Read Paper →
Engineering Preprint PDF DOI

NAMOUnc: Navigation Among Movable Obstacles with Decision Making on Uncertainty Interval

Kai Zhang, Eric Lucet, Julien Alexandre Dit Sandretto, Shoubin Chen, David Filliat · 2025

Navigation among movable obstacles (NAMO) is a critical task in robotics, often challenged by real-world uncertainties such as observation noise, model approximations, action failures, and partial obs…

Read Paper →
Engineering Preprint PDF DOI

From Micro to Macro Flow Modeling: Characterizing Heterogeneity of Mixed-Autonomy Traffic

Chenguang Zhao, Huan Yu · 2025

Most autonomous-vehicles (AVs) driving strategies are designed and analyzed at the vehicle level, yet their aggregate impact on macroscopic traffic flow is still not understood, particularly the flow …

Read Paper →
Engineering Preprint PDF DOI

MolFORM: Preference-Aligned Multimodal Flow Matching for Structure-Based Drug Design

Daiheng Zhang, Zhao Zhang · 2025

Structure-based drug design (SBDD) aims to efficiently discover high-affinity ligands within vast chemical spaces. However, current generative models struggle with objective misalignment and rigid sam…

Read Paper →
Engineering Preprint PDF DOI

CodeDiffuser: Attention-Enhanced Diffusion Policy via VLM-Generated Code for Instruction Ambiguity

Guang Yin, Yitong Li, Yixuan Wang, Dale McConachie, Paarth Shah, Kunimatsu Hashimoto, Huan Zhang, Katherine Liu, Yunzhu Li · 2025

Natural language instructions for robotic manipulation tasks often exhibit ambiguity and vagueness. For instance, the instruction "Hang a mug on the mug tree" may involve multiple valid actions if the…

Read Paper →
Engineering Preprint PDF DOI

X-LRM: X-ray Large Reconstruction Model for Extremely Sparse-View Computed Tomography Recovery in One Second

Guofeng Zhang, Ruyi Zha, Hao He, Yixun Liang, Alan Yuille, Hongdong Li, Yuanhao Cai · 2025

Sparse-view 3D CT reconstruction aims to recover volumetric structures from a limited number of 2D X-ray projections. Existing feedforward methods are constrained by the scarcity of large-scale traini…

Read Paper →
Engineering Preprint PDF DOI

Task-oriented Uncertainty Collaborative Learning for Label-Efficient Brain Tumor Segmentation

Zhenxuan Zhang, Hongjie Wu, Jiahao Huang, Baihong Xie, Zhifan Gao, Junxian Du, Pete Lally, Guang Yang · 2025

Multi-contrast magnetic resonance imaging (MRI) plays a vital role in brain tumor segmentation and diagnosis by leveraging complementary information from different contrasts. Each contrast highlights …

Read Paper →
Engineering Preprint PDF DOI

Pretext Task Adversarial Learning for Unpaired Low-field to Ultra High-field MRI Synthesis

Zhenxuan Zhang, Peiyuan Jing, Coraline Beitone, Jiahao Huang, Zhifan Gao, Guang Yang, Pete Lally · 2025

Given the scarcity and cost of high-field MRI, the synthesis of high-field MRI from low-field MRI holds significant potential when there is limited data for training downstream tasks (e.g. segmentatio…

Read Paper →
Engineering Preprint PDF DOI

A high-order augmented basis positivity-preserving discontinuous Galerkin method for a Linear Hyperbolic Equation

Maurice S. Fabien · 2025

This paper designs a high-order positivity-preserving discontinuous Galerkin (DG) scheme for a linear hyperbolic equation. The scheme relies on augmenting the standard polynomial DG spaces with additi…

Read Paper →
Engineering Preprint PDF DOI

UL-UNAS: Ultra-Lightweight U-Nets for Real-Time Speech Enhancement via Network Architecture Search

Xiaobin Rong, Leyan Yang, Dahan Wang, Yuxiang Hu, Changbao Zhu, Kai Chen, Jing Lu · 2025

Lightweight models are essential for real-time speech enhancement applications. In recent years, there has been a growing trend toward developing increasingly compact models for speech enhancement. In…

Read Paper →
Page 1 of 4 Next →