papers

Publications (46)

cond-mat.mtrl-sci2023

AutoEIS: automated Bayesian model selection and analysis for electrochemical impedance spectroscopy

Runze Zhang, Robert Black, Debashish Sur +5

Electrochemical Impedance Spectroscopy (EIS) is a powerful tool for electrochemical analysis; however, its data can be challenging to interpret. Here, we introduce a new open-sourc…

cs.CV2020

Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation

Hongwei Yi, Zizhuang Wei, Mingyu Ding +4

n this paper, we propose an effective and efficient pyramid multi-view stereo (MVS) net with self-adaptive view aggregation for accurate and complete dense point cloud reconstructi…

cs.GR2025

Building LOD Representation for 3D Urban Scenes

Shanshan Pan, Runze Zhang, Yilin Liu +2

The advances in 3D reconstruction technology, such as photogrammetry and LiDAR scanning, have made it easier to reconstruct accurate and detailed 3D models for urban scenes. Nevert…

cs.GR2025

Light-SQ: Structure-aware Shape Abstraction with Superquadrics for Generated Meshes

Yuhan Wang, Weikai Chen, Zeyu Hu +19

In user-generated-content (UGC) applications, non-expert users often rely on image-to-3D generative models to create 3D assets. In this context, primitive-based shape abstraction o…

cs.CV2025

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation

Xiaochuan Li, Guoguang Du, Runze Zhang +11

Scaling laws have validated the success and promise of large-data-trained models in creative generation across text, image, and video domains. However, this paradigm faces data sca…

cond-mat.mtrl-sci2024

An Assessment of Commonly Used Equivalent Circuit Models for Corrosion Analysis: A Bayesian Approach to Electrochemical Impedance Spectroscopy

Runze Zhang, Debashish Sur, Kangming Li +5

Electrochemical Impedance Spectroscopy (EIS) is a crucial technique for assessing corrosion of a metallic materials. The analysis of EIS hinges on the selection of an appropriate e…

cond-mat.mtrl-sci2026

From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry

Aritra Roy, Kevin Shen, Andrew MacBride +350

Large language models (LLMs) are rapidly changing how researchers in materials science and chemistry discover, organize, and act on scientific knowledge. This paper analyzes a broa…

cs.LG2025

Assessment of different loss functions for fitting equivalent circuit models to electrochemical impedance spectroscopy data

Ali Jaberi, Amin Sadeghi, Runze Zhang +5

Electrochemical impedance spectroscopy (EIS) data is typically modeled using an equivalent circuit model (ECM), with parameters obtained by minimizing a loss function via nonlinear…

cs.GR2024

DreamMat: High-quality PBR Material Generation with Geometry- and Light-aware Diffusion Models

Yuqing Zhang, Yuan Liu, Zhiyu Xie +8

2D diffusion model, which often contains unwanted baked-in shading effects and results in unrealistic rendering effects in the downstream applications. Generating Physically Based…

cs.SI2025

Opinion Maximization in Social Networks by Modifying Internal Opinions

Gengyu Wang, Runze Zhang, Zhongzhi Zhang

Public opinion governance in social networks is critical for public health campaigns, political elections, and commercial marketing. In this paper, we addresse the problem of maxim…

eess.SP2024

Sub-Meter Remote Sensing of Soil Moisture Using Portable L-band Microwave Radiometer

Runze Zhang, Abhi Nayak, Derek Houtz +3

Spaceborne microwave passive soil moisture products are known for their accuracy but are often limited by coarse spatial resolutions. This limits their ability to capture finer soi…

math.DS2022

Parabolic Components in Cubic Polynomial Slice

Runze Zhang

We prove that the boundary of every parabolic component in the cubic polynomial slice is a Jordan curve by adapting the technique of para-puzzles presented in \cite{Roes…

eess.SP2025

UAV-Based Remote Sensing of Soil Moisture Across Diverse Land Covers: Validation and Bayesian Uncertainty Characterization

Runze Zhang, Ishfaq Aziz, Derek Houtz +4

High-resolution soil moisture (SM) observations are critical for agricultural monitoring, forestry management, and hazard prediction, yet current satellite passive microwave missio…

cs.CV2025

DropletVideo: A Dataset and Approach to Explore Integral Spatio-Temporal Consistent Video Generation

Runze Zhang, Guoguang Du, Xiaochuan Li +10

Spatio-temporal consistency is a critical research topic in video generation. A qualified generated video segment must ensure plot plausibility and coherence while maintaining visu…

cs.CV2018

Matchable Image Retrieval by Learning from Surface Reconstruction

Tianwei Shen, Zixin Luo, Lei Zhou +4

Convolutional Neural Networks (CNNs) have achieved superior performance on object image retrieval, while Bag-of-Words (BoW) models with handcrafted local features still dominate th…

cs.GR2025

ArcPro: Architectural Programs for Structured 3D Abstraction of Sparse Points

Qirui Huang, Runze Zhang, Kangjun Liu +3

We introduce ArcPro, a novel learning framework built on architectural programs to recover structured 3D abstractions from highly sparse and low-quality point clouds. Specifically,…

cs.CV2025

MuMA: 3D PBR Texturing via Multi-Channel Multi-View Generation and Agentic Post-Processing

Lingting Zhu, Jingrui Ye, Runze Zhang +8

Current methods for 3D generation still fall short in physically based rendering (PBR) texturing, primarily due to limited data and challenges in modeling multi-channel materials.…

cs.LG2026

Exploring the Limitations of kNN Noisy Feature Detection and Recovery for Self-Driving Labs

Qiuyu Shi, Kangming Li, Yao Fehlis +4

Self-driving laboratories (SDLs) have shown promise to accelerate materials discovery by integrating machine learning with automated experimental platforms. However, errors in the…

cs.CV2022

LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation

Zeyu Hu, Xuyang Bai, Runze Zhang +4

We propose LiDAL, a novel active learning method for 3D LiDAR semantic segmentation by exploiting inter-frame uncertainty among LiDAR frames. Our core idea is that a well-trained m…

math.DS2023

On Dynamical Parameter Space of Cubic Polynomials with a Parabolic Fixed Point

Runze Zhang

This article focus on the connected locus of the cubic polynomial slice with a parabolic fixed point of multiplier . We first show that any para…

cs.GR2024

Architectural Co-LOD Generation

Runze Zhang, Shanshan Pan, Chenlei Lv +2

Managing the level-of-detail (LOD) in architectural models is crucial yet challenging, particularly for effective representation and visualization of buildings. Traditional approac…

cs.GR2026

Fast VEM Fluid Simulation

Runze Zhang, Bo Ren

The intricate motion arising from fluid--boundary interactions is visually compelling, yet notoriously difficult and computationally expensive to simulate in the presence of comple…

cs.CV2026

SAP: Segment Any 4K Panorama

Lutao Jiang, Zidong Cao, Weikai Chen +14

Promptable instance segmentation is widely adopted in embodied and AR systems, yet the performance of foundation models trained on perspective imagery often degrades on 360° panor…

math.DS2025

Parabolic Implosion in the Parameter Space of Cubic Polynomials

Runze Zhang

Parabolic implosion describes the enrichment of Julia sets when a parabolic fixed point is perturbed. It is also natural to study parabolic implosion in parameter spaces. In partic…

cs.CV2019

Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation

Tianwei Shen, Zixin Luo, Lei Zhou +4

Accurate relative pose is one of the key components in visual odometry (VO) and simultaneous localization and mapping (SLAM). Recently, the self-supervised learning framework that…

cs.CV2025

CaliTex: Geometry-Calibrated Attention for View-Coherent 3D Texture Generation

Chenyu Liu, Hongze Chen, Jingzhi Bao +7

Despite major advances brought by diffusion-based models, current 3D texture generation systems remain hindered by cross-view inconsistency -- textures that appear convincing from…

cs.CV2022

VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation

Zeyu Hu, Xuyang Bai, Jiaxiang Shang +6

In recent years, sparse voxel-based methods have become the state-of-the-arts for 3D semantic segmentation of indoor scenes, thanks to the powerful 3D CNNs. Nevertheless, being obl…

cs.CV2018

GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints

Zixin Luo, Tianwei Shen, Lei Zhou +5

Learned local descriptors based on Convolutional Neural Networks (CNNs) have achieved significant improvements on patch-based benchmarks, whereas not having demonstrated strong gen…

math.DS2024

Rigidity of bounded type cubic Siegel polynomials

Jonguk Yang, Runze Zhang

We prove that if two non-renormalizable cubic Siegel polynomials with bounded type rotation numbers are combinatorially equivalent, then they are also conformally equivalent. As a…

cs.LG2026

Predicting Effects, Missing Distributions: Evaluating LLMs as Human Behavior Simulators in Operations Management

Runze Zhang, Xiaowei Zhang, Mingyang Zhao

Large language models (LLMs) are increasingly used to simulate human behavior in business, economics, and the social sciences, offering a low-cost complement to laboratory experime…

cs.CV2026

MSVS-VAE: Multi-Scale Anchored VecSet for High-Fidelity 3D Reconstruction

Dehao Hao, Kaiyi Zhang, Tanghui Jia +10

High-fidelity 3D generative modeling increasingly relies on the latent diffusion paradigm, where the reconstruction quality of the underlying 3D VAE becomes a primary bottleneck. E…

cs.CV2017

Parallel Structure from Motion from Local Increment to Global Averaging

Siyu Zhu, Tianwei Shen, Lei Zhou +4

In this paper, we tackle the accurate and consistent Structure from Motion (SfM) problem, in particular camera registration, far exceeding the memory of a single computer in parall…

math.CV2025

On extension of closed complex (basic) differential forms: (basic) Hodge numbers and (transversely) -Kähler structures

Sheng Rao, Runze Zhang

Inspired by a recent work of D. Wei--S. Zhu on the extension of closed complex differential forms and Voisin's usage of the -lemma, we obtain several new th…

physics.data-an2026

Accelerating Electrochemical Impedance Spectroscopy Measurements by Reducing Reliance on Noisy Low-Frequency Data

Qiuyu Shi, Naohiro Fujinuma, Yonatan Kurniawan +4

Electrochemical impedance spectroscopy (EIS) is a powerful tool for probing kinetic and transport processes in electrochemical systems, but its practical use is often limited by th…

cs.CV2025

LumiTex: Towards High-Fidelity PBR Texture Generation with Illumination Context

Jingzhi Bao, Hongze Chen, Lingting Zhu +10

Physically-based rendering (PBR) provides a principled standard for realistic material-lighting interactions in computer graphics. Despite recent advances in generating PBR texture…

cs.CV2020

Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking

Jianfeng Yan, Zizhuang Wei, Hongwei Yi +5

In this paper, we propose an efficient and effective dense hybrid recurrent multi-view stereo net with dynamic consistency checking, namely HC-RMVSNet, for accurate dense po…

cond-mat.mtrl-sci2026

Building informative materials datasets beyond targeted objectives

Rafael Espinosa Castañeda, Ashley Dale, Hongchen Wang +6

Materials science data collection can be expensive, making the reuse and long-term utility of datasets critical important for future discovery campaigns. In practice, researchers p…

cs.CV2025

Large Material Gaussian Model for Relightable 3D Generation

Jingrui Ye, Lingting Zhu, Runze Zhang +5

The increasing demand for 3D assets across various industries necessitates efficient and automated methods for 3D content creation. Leveraging 3D Gaussian Splatting, recent large r…

cs.CV2026

CoSMo3D: Open-World Promptable 3D Semantic Part Segmentation through LLM-Guided Canonical Spatial Modeling

Li Jin, Weikai Chen, Yujie Wang +7

Open-world promptable 3D semantic segmentation remains brittle as semantics are inferred in the input sensor coordinates. Yet, humans, in contrast, interpret parts via functional r…

cs.CV2026

CanoVerse: 3D Object Scalable Canonicalization and Dataset for Generation and Pose

Li Jin, Yuchen Yang, Weikai Chen +11

3D learning systems implicitly assume that objects occupy a coherent reference frame. Nonetheless, in practice, every asset arrives with an arbitrary global rotation, and models ar…

cs.CV2023

Learning and Matching Multi-View Descriptors for Registration of Point Clouds

Lei Zhou, Siyu Zhu, Zixin Luo +5

Critical to the registration of point clouds is the establishment of a set of accurate correspondences between points in 3D space. The correspondence problem is generally addressed…

cs.CV2022

SoccerNet 2022 Challenges Results

Silvio Giancola, Anthony Cioppa, Adrien Deliège +91

The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team. In 2022, the challenges were composed of 6 vision-based tasks:…

eess.IV2022

Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark

Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis +22

Lung cancer is one of the deadliest cancers, and in part its effective diagnosis and treatment depend on the accurate delineation of the tumor. Human-centered segmentation, which i…

math.AG2026

Logarithmic -lemma and several geometric applications (with an Appendix joint with Sheng Rao)

Runze Zhang

In this paper, we prove a -type lemma on compact Kähler manifolds for logarithmic differential forms valued in the dual of a certain pseudo-effective line…

cs.CV2023

Image Content Generation with Causal Reasoning

Xiaochuan Li, Baoyu Fan, Runze Zhang +5

The emergence of ChatGPT has once again sparked research in generative artificial intelligence (GAI). While people have been amazed by the generated results, they have also noticed…

cs.SI2025

Efficient Algorithms for Relevant Quantities of Friedkin-Johnsen Opinion Dynamics Model

Gengyu Wang, Runze Zhang, Zhongzhi Zhang

Online social networks have become an integral part of modern society, profoundly influencing how individuals form and exchange opinions across diverse domains ranging from politic…