Publications (133)
A Robust Consistent Information Criterion for Model Selection based on Empirical Likelihood
Chixiang Chen, Ming Wang, Rongling Wu +1
Conventional likelihood-based information criteria for model selection rely on the distribution assumption of data. However, for complex data that are increasingly available in man…
LOCAL: A Locality-based Active Learning Framework for Predicting the Stability of Dual-Atom Catalysts
Yue Yin, Jiangshan He, Runze Li +4
Dual-atom catalysts supported on nitrogen-doped graphene (DAC/NG) are emerging as a family of promising catalysts that can overcome intrinsic limitations of single-atom catalysts.…
Generator Based Inference (GBI)
Chi Lung Cheng, Ranit Das, Runze Li +5
Statistical inference in physics is often based on samples from a generator (sometimes referred to as a ``forward model") that emulate experimental data and depend on parameters of…
Bayesian group Lasso for nonparametric varying-coefficient models with application to functional genome-wide association studies
Jiahan Li, Zhong Wang, Runze Li +1
Although genome-wide association studies (GWAS) have proven powerful for comprehending the genetic architecture of complex traits, they are challenged by a high dimension of single…
Model-free Feature Screening and FDR Control with Knockoff Features
Wanjun Liu, Yuan Ke, Jingyuan Liu +1
This paper proposes a model-free and data-adaptive feature screening method for ultra-high dimensional datasets. The proposed method is based on the projection correlation which me…
Emergent chiral toplogical point gaps in a non-Hermitian quasiperiodic Su-Schrieffer-Heeger model
Zhi-Bin Liang, Shan-Zhong Li, Runze Li +1
We study a quasiperiodic Su-Schrieffer-Heeger lattice with staggered on-site gain-loss. The results reveal that on-site staggered gain-loss can effectively induce non-Hermitian top…
Generalized Varying Coefficient Mediation Models
Jingyuan Liu, Yujie Liao, Runze Li
Motivated by an analysis of causal mechanism from economic stress to entrepreneurial withdrawals through depressed affect, we develop a two-layer generalized varying coefficient me…
Physically Interpretable Feature Learning and Inverse Design of Supercritical Airfoils
Runze Li, Yufei Zhang, Haixin Chen
Machine-learning models have demonstrated a great ability to learn complex patterns and make predictions. In high-dimensional nonlinear problems of fluid dynamics, data representat…
Beyond Heuristic Tuning: Power-Calibrated LLM Watermarking
Xiaopu Wang, Zelin He, Chengyuan Liu +1
Logit-based watermarking is a widely used mechanism for identifying LLM generated content, yet its effectiveness is governed by a fundamental trade-off between detectability and se…
General Compression Framework for Efficient Transformer Object Tracking
Lingyi Hong, Jinglun Li, Xinyu Zhou +10
Previous works have attempted to improve tracking efficiency through lightweight architecture design or knowledge distillation from teacher models to compact student trackers. Howe…
Room-temperature van der Waals 2D ferromagnet switching by spin-orbit torques
Weihao Li, Wenkai Zhu, Gaojie Zhang +10
Emerging wide varieties of the two-dimensional (2D) van der Waals (vdW) magnets with atomically thin and smooth interfaces holds great promise for next-generation spintronic device…
Detection and Estimation of Structural Breaks in High-Dimensional Functional Time Series
Degui Li, Runze Li, Han Lin Shang
In this paper, we consider detecting and estimating breaks in heterogeneous mean functions of high-dimensional functional time series which are allowed to be cross-sectionally corr…
MonoIndoor++:Towards Better Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments
Runze Li, Pan Ji, Yi Xu +1
Self-supervised monocular depth estimation has seen significant progress in recent years, especially in outdoor environments. However, depth prediction results are not satisfying i…
GR3EN: Generative Relighting for 3D Environments
Xiaoyan Xing, Philipp Henzler, Junhwa Hur +4
We present a method for relighting 3D reconstructions of large room-scale environments. Existing solutions for 3D scene relighting often require solving under-determined or ill-con…
Estimation and Inference for the Mediation Effect in a Time-varying Mediation Model
Xizhen Cai, Donna L. Coffman, Megan E. Piper +1
Traditional mediation analysis typically examines the relations among an intervention, a time-invariant mediator, and a time-invariant outcome variable. Although there may be a dir…
Plasma-state metasurfaces for ultra-intensive field manipulation
Zi-Yu Chen, Hao Xu, Jiao Jia +23
High-power lasers offer ultrahigh intensities for plasma interactions, but they lack advanced techniques to control the properties of the fields, because no optical elements could…
Inference in High-Dimensional Linear Measurement Error Models
Mengyan Li, Runze Li, Yanyuan Ma
For a high-dimensional linear model with a finite number of covariates measured with error, we study statistical inference on the parameters associated with the error-prone covaria…
Direct observation of ultrafast thermal and non-thermal lattice deformation of polycrystalline Aluminum film
Runze Li, Pengfei Zhu, Jie Chen +3
The dynamics of thermal and non-thermal lattice deformation of nanometer thick polycrystalline aluminum film has been studied by means of femtosecond (fs) time-resolved electron di…
GUIDE: Interpretable GUI Agent Evaluation via Hierarchical Diagnosis
Yuwen Zhai, Runze Li, Liang Wang +6
Evaluating GUI agents presents a distinct challenge: trajectories are long, visually grounded, and open-ended, yet evaluation must be both accurate and interpretable. Existing appr…
Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees
Xin Yu, Zelin He, Ying Sun +2
Personalized federated learning (PFL) offers a flexible framework for aggregating information across distributed clients with heterogeneous data. This work considers a personalized…
Floquet control of topological phases and Hall effects in Z2 nodal line semimetals
Pu Liu, Chaoxi Cui, Lei Li +3
Dynamic control of topological properties in materials is central to modern condensed matter physics, and Floquet engineering, utilizing periodic light fields, provides a promising…
Invariance principle and CLT for the spiked eigenvalues of large-dimensional Fisher matrices and applications
Dandan Jiang, Zhiqiang Hou, Zhidong Bai +1
This paper aims to derive asymptotical distributions of the spiked eigenvalues of the large-dimensional spiked Fisher matrices without Gaussian assumption and the restrictive assum…
Variable selection in linear mixed effects models
Yingying Fan, Runze Li
This paper is concerned with the selection and estimation of fixed and random effects in linear mixed effects models. We propose a class of nonconcave penalized profile likelihood…
CIKT: A Collaborative and Iterative Knowledge Tracing Framework with Large Language Models
Runze Li, Siyu Wu, Jun Wang +1
Knowledge Tracing (KT) aims to model a student's learning state over time and predict their future performance. However, traditional KT methods often face challenges in explainabil…
Causal Structural Learning on MPHIA Individual Dataset
Le Bao, Changcheng Li, Runze Li +1
The Population-based HIV Impact Assessment (PHIA) is an ongoing project that conducts nationally representative HIV-focused surveys for measuring national and regional progress tow…
Distributed Feature Screening via Componentwise Debiasing
Xingxiang Li, Runze Li, Zhiming Xia +1
Feature screening is a powerful tool in the analysis of high dimensional data. When the sample size and the number of features are both large, the implementation of classic…
A fast algorithm for detecting gene-gene interactions in genome-wide association studies
Jiahan Li, Wei Zhong, Runze Li +1
With the recent advent of high-throughput genotyping techniques, genetic data for genome-wide association studies (GWAS) have become increasingly available, which entails the devel…
Rapid aerodynamic prediction of swept wings via physics-embedded transfer learning
Yunjia Yang, Runze Li, Yufei Zhang +2
Machine learning-based models provide a promising way to rapidly acquire transonic swept wing flow fields but suffer from large computational costs in establishing training dataset…
Probabilistic HIV Recency Classification -- A Logistic Regression without Labeled Individual Level Training Data
Ben Sheng, Changcheng Li, Le Bao +1
Accurate HIV incidence estimation based on individual recent infection status (recent vs long-term infection) is important for monitoring the epidemic, targeting interventions to t…
CRL-VLA: Continual Vision-Language-Action Learning
Qixin Zeng, Shuo Zhang, Hongyin Zhang +6
Lifelong learning is critical for embodied agents in open-world environments, where reinforcement learning fine-tuning has emerged as an important paradigm to enable Vision-Languag…
Anomalous shift in scattering from topological nodal-ring semimetals
Runze Li, Chaoxi Cui, Ying Liu +2
An electron beam may experience an anomalous spatial shift during an interface scattering process. Here, we investigate this phenomenon for reflection from mirror-symmetry-protecte…
MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments
Pan Ji, Runze Li, Bir Bhanu +1
Self-supervised depth estimation for indoor environments is more challenging than its outdoor counterpart in at least the following two aspects: (i) the depth range of indoor seque…
Rotation topological states: theory and material realization
Chun-Xue Liu, Yilin Han, Runze Li +2
The paper introduces a rotation‑subspace topological invariant (a Z₂ⁿ invariant) that reveals hidden topological phases in materials with rotational symmetry, and demonstrates its…
Conditional score-based diffusion models for solving inverse problems in mechanics
Agnimitra Dasgupta, Harisankar Ramaswamy, Javier Murgoitio-Esandi +5
We propose a framework to perform Bayesian inference using conditional score-based diffusion models to solve a class of inverse problems in mechanics involving the inference of a s…
Statistical Inference for Linear Mediation Models with High-dimensional Mediators and Application to Studying Stock Reaction to COVID-19 Pandemic
Xu Guo, Runze Li, Jingyuan Liu +1
Mediation analysis draws increasing attention in many scientific areas such as genomics, epidemiology and finance. In this paper, we propose new statistical inference procedures fo…
Functional-Coefficient Quantile Regression for Panel Data with Latent Group Structure
Xiaorong Yang, Jia Chen, Degui Li +1
This paper considers estimating functional-coefficient models in panel quantile regression with individual effects, allowing the cross-sectional and temporal dependence for large p…
Anomalous spatial shifts in interface electronic reflection beyond linear approximation
Runze Li, Chaoxi Cui, Xinxing Zhou +1
Recently, the electronic analogy of the anomalous spatial shift, including Goos-Hänchen and Imbert-Fedorov effects, has been attracting widespread interest. The current research o…
A Generative Diffusion Model for Probabilistic Ensembles of Precipitation Maps Conditioned on Multisensor Satellite Observations
Clement Guilloteau, Gavin Kerrigan, Kai Nelson +4
A generative diffusion model is used to produce probabilistic ensembles of precipitation intensity maps at the 1-hour 5-km resolution. The generation is conditioned on infrared and…
A Likelihood Approach to Incorporating Self-Report Data in HIV Recency Classification
Wenlong Yang, Danping Liu, Le Bao +1
Estimating new HIV infections is significant yet challenging due to the difficulty in distinguishing between recent and long-term infections. We demonstrate that HIV recency status…
High-Harmonic Optical Vortex Generation from a Plasma Aperture
Runze Li, Wenchao Yan, Longqing Yi
When a high-power, femtosecond, circularly polarized (CP) laser pulse is incident on a micrometer-scale aperture in a solid foil target, it drives surface plasma oscillation, gener…
Fast buffet onset prediction and optimization method based on a pre-trained flowfield prediction model
Yunjia Yang, Runze Li, Yufei Zhang +1
The transonic buffet is a detrimental phenomenon occurs on supercritical airfoils and limits aircraft's operating envelope. Traditional methods for predicting buffet onset rely on…
Learning the aerodynamic design of supercritical airfoils through deep reinforcement learning
Runze Li, Yufei Zhang, Haixin Chen
The aerodynamic design of modern civil aircraft requires a true sense of intelligence since it requires a good understanding of transonic aerodynamics and sufficient experience. Re…
MERIT: Memory-Enhanced Retrieval for Interpretable Knowledge Tracing
Runze Li, Kedi Chen, Guwei Feng +3
Knowledge Tracing (KT) models students' evolving knowledge states to predict future performance, serving as a foundation for personalized education. While traditional deep learning…
Estimation and testing for partially linear single-index models
Hua Liang, Xiang Liu, Runze Li +1
In partially linear single-index models, we obtain the semiparametrically efficient profile least-squares estimators of regression coefficients. We also employ the smoothly clipped…
World-Value-Action Model: Implicit Planning for Vision-Language-Action Systems
Runze Li, Hongyin Zhang, Junxi Jin +5
Vision-Language-Action (VLA) models have emerged as a promising paradigm for building embodied agents that ground perception and language into action. However, most existing approa…
A Comprehensive Exploration of Personalized Learning in Smart Education: From Student Modeling to Personalized Recommendations
Siyu Wu, Yang Cao, Runze Li +4
With the development of artificial intelligence, personalized learning has attracted much attention as an integral part of intelligent education. In recent years, countries and reg…
Space Charge Driven Emittance Growth and the Effect of Octupoles in IOTA
David Feigelson, Tanaji Sen, Jean-Francois Ostiguy +1
The Integrable Optics Test Accelerator (IOTA) at Fermilab is a small machine dedicated to a broad frontier accelerator physics program. An important aspect of this program is to in…
Hypothesis Testing for High-Dimensional Matrix-Valued Data
Shijie Cui, Danning Li, Runze Li +1
This paper addresses hypothesis testing for the mean of matrix-valued data in high-dimensional settings. We investigate the minimum discrepancy test, originally proposed by Cragg (…
ReSkill: Reconciling Skill Creation with Policy Optimization in Agentic RL
Zelin He, Haotian Lin, Boran Han +6
Agentic reinforcement learning (RL) enables LLM agents to improve continuously from environment rewards, yet the resulting policies do not systematically accumulate reusable strate…
Fixed and Random Covariance Regression Analyses
Tao Zou, Wei Lan, Runze Li +1
Covariance regression analysis is an approach to linking the covariance of responses to a set of explanatory variables , where can be a vector, matrix, or tensor. Most of th…
Time-Varying Strong Coupling and Its Induced Time Diffraction of Magnon Modes
Jinwei Rao, Yi-Pu Wang, Zhijian Chen +7
Time-varying media break the temporal translation symmetry of wave propagation in materials, enabling advanced wave manipulations. However, this novel phenomenon has been rarely ex…
New Empirical Process Tools and Their Applications to Robust Deep ReLU Networks and Phase Transitions for Nonparametric Regression
Yizhe Ding, Runze Li, Lingzhou Xue
This paper introduces new empirical process tools for analyzing a broad class of statistical learning models under heavy-tailed noise and complex function classes. Our primary cont…
MirrorCraft: Paired Evaluation under Hidden Rule Changes in Minecraft
Jianxin Gao, Beini Hu, Runze Li +6
With the prosperity of the large language models (LLMs), it has become an interesting topic: how do LLM-based agents work in Minecraft? Unfortunately, most existing benchmarks eval…
Power-enhanced simultaneous test of high-dimensional mean vectors and covariance matrices with application to gene-set testing
Xiufan Yu, Danning Li, Lingzhou Xue +1
Power-enhanced tests with high-dimensional data have received growing attention in theoretical and applied statistics in recent years. Existing tests possess their respective high-…
StepAudio 2.5 Technical Report
Bin Lin, Bo Zhao, Boyong Wu +98
Unified audio-language modeling has emerged as a prominent trend in modern speech systems, promising to bring the reasoning capabilities of large language models to auditory tasks.…
A Distribution Free Conditional Independence Test with Applications to Causal Discovery
Zhanrui Cai, Runze Li, Yaowu Zhang
This paper is concerned with test of the conditional independence. We first establish an equivalence between the conditional independence and the mutual independence. Based on the…
Dense, irregular, yet always graphic -uniform hypergraph degree sequences
Runze Li, Istvan Miklos
A -uniform hypergraph is a generalization of simple graphs where each hyperedge is a subset of vertices of size . The degree of a vertex in a hypergraph is the number of hype…
On the Feasibility of Distributed Kernel Regression for Big Data
Chen Xu, Yongquan Zhang, Runze Li
In modern scientific research, massive datasets with huge numbers of observations are frequently encountered. To facilitate the computational process, a divide-and-conquer scheme i…
Adaptive sampling of pressure distribution features for the airfoil statistical analysis
Runze Li, Yufei Zhang, Haixin Chen
In the area of supercritical wing design, a variety of principles, laws and rules have been summarized by scholars who perform theoretical and experimental analyses. The applicabil…
Doubly Robust Feature Selection with Mean and Variance Outlier Detection and Oracle Properties
Luca Insolia, Francesca Chiaromonte, Runze Li +1
We propose a general approach to handle data contaminations that might disrupt the performance of feature selection and estimation procedures for high-dimensional linear models. Sp…
NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results
Yuqian Fu, Xingyu Qiu, Bin Ren +59
Cross-Domain Few-Shot Object Detection (CD-FSOD) poses significant challenges to existing object detection and few-shot detection models when applied across domains. In conjunction…
NAVIG: Natural Language-guided Analysis with Vision Language Models for Image Geo-localization
Zheyuan Zhang, Runze Li, Tasnim Kabir +1
Image geo-localization is the task of predicting the specific location of an image and requires complex reasoning across visual, geographical, and cultural contexts. While prior Vi…
Calibrating nonconvex penalized regression in ultra-high dimension
Lan Wang, Yongdai Kim, Runze Li
We investigate high-dimensional nonconvex penalized regression, where the number of covariates may grow at an exponential rate. Although recent asymptotic theory established that t…
Feature Screening via Distance Correlation Learning
Runze Li, Wei Zhong, Liping Zhu
This paper is concerned with screening features in ultrahigh dimensional data analysis, which has become increasingly important in diverse scientific fields. We develop a sure inde…
Targeted learning via probabilistic subpopulation matching
Xiaokang Liu, Jie Hu, Naimin Jing +4
In biomedical research, to obtain more accurate prediction results from a target study, leveraging information from multiple similar source studies is proved to be useful. However,…
Measuring Love Toward AI: Development and Validation of the Love Attitudes Scale toward Artificial Intelligence (LAS-AI)
Runze Li, Lanbing Li, Yuan Zheng +2
Artificial intelligences (AIs) are increasingly capable of emotionally engaging with humans to the point of forming intimate relationships. Yet, current studies on romantic love to…
Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems
Runze Li, Di Jin, Xiaobao Wang +3
Graph recommendation systems have been widely studied due to their ability to effectively capture the complex interactions between users and items. However, these systems also exhi…
Femtosecond laser induced structural dynamics and melting of Cu (111) single crystal. An ultrafast time-resolved x-ray diffraction study
Runze Li, Omar A. Ashour, Jie Chen +2
Femtosecond, 8.04 KeV x-ray pulses are used to probe the lattice dynamics of 150 nm Cu (111) single crystal on mica substrate irradiated with 400 nm, 100 fs laser pulses. For pump…
Multiple-Splitting Projection Test for High-Dimensional Mean Vectors
Wanjun Liu, Xiufan Yu, Runze Li
We propose a multiple-splitting projection test (MPT) for one-sample mean vectors in high-dimensional settings. The idea of projection test is to project high-dimensional samples t…
Global solutions to folded concave penalized nonconvex learning
Hongcheng Liu, Tao Yao, Runze Li
This paper is concerned with solving nonconvex learning problems with folded concave penalty. Despite that their global solutions entail desirable statistical properties, they lack…
Statistical Convergence Rates of Optimal Transport Map Estimation between General Distributions
Yizhe Ding, Runze Li, Lingzhou Xue
This paper studies the convergence rates of optimal transport (OT) map estimators, a topic of growing interest in statistics, machine learning, and various scientific fields. Despi…
Accurate Inference for Penalized Logistic Regression
Yuming Zhang, Stéphane Guerrier, Runze Li
Inference for high-dimensional logistic regression models using penalized methods has been a challenging research problem. As an illustration, a major difficulty is the significant…
Flowfield prediction of airfoil off-design conditions based on a modified variational autoencoder
Yunjia Yang, Runze Li, Yufei Zhang +1
Airfoil aerodynamic optimization based on single-point design may lead to poor off-design behaviors. Multipoint optimization that considers the off-design flow conditions is usuall…
Statistical Challenges with High Dimensionality: Feature Selection in Knowledge Discovery
Jianqing Fan, Runze Li
Technological innovations have revolutionized the process of scientific research and knowledge discovery. The availability of massive data and challenges from frontiers of research…
One-step sparse estimates in nonconcave penalized likelihood models
Hui Zou, Runze Li
Fan and Li propose a family of variable selection methods via penalized likelihood using concave penalty functions. The nonconcave penalized likelihood estimators enjoy the oracle…
Simulation of ionizing radiation in cell phone camera image sensors
Runze Li, Alex Pizzuto, Justin Vandenbroucke +1
The Distributed Electronic Cosmic-ray Observatory (DECO) is a cell phone app that uses a cell phone camera image sensor to detect cosmic-ray particles and particles from radioactiv…
EchoTrail-GUI: Building Actionable Memory for GUI Agents via Critic-Guided Self-Exploration
Runze Li, Yuwen Zhai, Bo Xu +5
Contemporary GUI agents, while increasingly capable due to advances in Large Vision-Language Models (VLMs), often operate with a critical limitation: they treat each task in isolat…
Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models
Hui Zou, Runze Li
We would like to take this opportunity to thank the discussants for their thoughtful comments and encouragements on our work [arXiv:0808.1012]. The discussants raised a number of i…
Functional data decomposition reveals unexpectedly strong soil moisture-precipitation coupling over the Great Plains
Yifu Gao, Runze Li, Efi Foufoula-Georgiou +1
Soil moisture-precipitation coupling (SMPC) plays a critical role in Earth's water and energy cycles but remains difficult to quantify due to synoptic-scale variability and the com…
Reconstruction and fast prediction of a 3D flow field based on a variational autoencoder
Gongyan Liu, Runze Li, Xiaozhou Zhou +2
Reconstruction and fast prediction of flow fields are important for the improvement of data center operations and energy savings. In this study, an artificial neural network (ANN)…
Majorization framework for balanced lattice designs
Aijun Zhang, Kai-Tai Fang, Runze Li +1
This paper aims to generalize and unify classical criteria for comparisons of balanced lattice designs, including fractional factorial designs, supersaturated designs and uniform d…
Reducing multivariate independence testing to two bivariate means comparisons
Kai Xu, Yeqing Zhou, Liping Zhu +1
Testing for independence between two random vectors is a fundamental problem in statistics. It is observed from empirical studies that many existing omnibus consistent tests may no…
Uncertainty-Aware Data-Based Method for Fast and Reliable Shape Optimization
Yunjia Yang, Runze Li, Yufei Zhang +1
Data-based optimization (DBO) offers a promising approach for efficiently optimizing shape for better aerodynamic performance by leveraging a pretrained surrogate model for offline…
MAGA: Multi-Platform Self-Fusion of GUI Agents via Structured Action Distillation
Hang Yan, Zhangxuan GU, Beitong Zhou +5
Graphical user interface (GUI) agents based on large language models are increasingly deployed across mobile, web, and desktop environments. However, existing agents are typically…
STAR: Mitigating Cascading Errors in Spatial Reasoning via Turn-point Alignment and Segment-level DPO
Pukun Zhao, Longxiang Wang, Chen Chen +4
Structured spatial navigation is a core benchmark for Large Language Models (LLMs) spatial reasoning. Existing paradigms like Visualization-of-Thought (VoT) are prone to cascading…
A New Procedure for Controlling False Discovery Rate in Large-Scale t-tests
Changliang Zou, Haojie Ren, Xu Guo +1
This paper is concerned with false discovery rate (FDR) control in large-scale multiple testing problems. We first propose a new data-driven testing procedure for controlling the F…
Unified Multimodal Visual Tracking with Dual Mixture-of-Experts
Lingyi Hong, Jinglun Li, Xinyu Zhou +6
Multimodal visual object tracking can be divided into to several kinds of tasks (e.g. RGB and RGB+X tracking), based on the input modality. Existing methods often train separate mo…
Anomalous shift in Andreev reflection from side incidence
Runze Li, Chaoxi Cui, Ying Liu +2
Andreev reflection at a normal-superconductor interface may be accompanied with an anomalous spatial shift. The studies so far are limited to the top incidence configuration. Here,…
Modeling Transverse Space Charge effects in IOTA with pyORBIT
Runze Li, Tanaji Sen, Jean-Francois Ostiguy
The role and mitigation of space charge effects are important aspects of the beam physics research to be performed at the Integrable Optics Test Accelerator (IOTA) at Fermilab. The…
Stable gradient-adjusted root mean square propagation on least squares problem
Runze Li, Jintao Xu, Wenxun Xing
Root mean square propagation (abbreviated as RMSProp) is a first-order stochastic algorithm used in machine learning widely. In this paper, a stable gradient-adjusted RMSProp (abbr…
Archimedes' Revenge
Mark B. Villarino, Joseph C. Várilly, Runze Li
We offer an instructive solution to the problem of computing the volume of the orthogonal intersection of three hyperboloids.
Ultrafast lattice deformations studied by means of time-resolved electron and x-ray diffraction
Runze Li, Kyle Sundqvist, Jie Chen +2
Ultrafast lattice deformation of tens to hundreds of nanometer thick metallic crystals, after femtosecond laser excitation, was measured directly using 8.04 keV subpicosecond x-ray…
Informfully Recommenders -- Reproducibility Framework for Diversity-aware Intra-session Recommendations
Lucien Heitz, Runze Li, Oana Inel +1
Norm-aware recommender systems have gained increased attention, especially for diversity optimization. The recommender systems community has well-established experimentation pipeli…
Mesh-Agnostic Decoders for Supercritical Airfoil Prediction and Inverse Design
Runze Li, Yufei Zhang, Haixin Chen
Mesh-agnostic models have advantages in terms of processing unstructured spatial data and incorporating partial differential equations. Recently, they have been widely studied for…
Variable selection in semiparametric regression modeling
Runze Li, Hua Liang
In this paper, we are concerned with how to select significant variables in semiparametric modeling. Variable selection for semiparametric regression models consists of two compone…
Carrier emission of n-type Gallium Nitride illuminated by femtosecond laser pulses
Runze Li, Pengfei Zhu, Jie Chen +3
The carrier emission efficiency of light emitting diodes is of fundamental importance for many technological applications, including the performance of GaN and other semiconductor…
D-RDW: Diversity-Driven Random Walks for News Recommender Systems
Runze Li, Lucien Heitz, Oana Inel +1
This paper introduces Diversity-Driven RandomWalks (D-RDW), a lightweight algorithm and re-ranking technique that generates diverse news recommendations. D-RDW is a societal recomm…
Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection
Yining Wang, Yi Chen, Ethan X. Fang +2
We consider the stochastic contextual bandit problem under the high dimensional linear model. We focus on the case where the action space is finite and random, with each action ass…
Towards Visually Explaining Variational Autoencoders
Wenqian Liu, Runze Li, Meng Zheng +5
Recent advances in Convolutional Neural Network (CNN) model interpretability have led to impressive progress in visualizing and understanding model predictions. In particular, grad…
Tunable Rapid Electron Transport in Titanium Oxide Thin Films
Runze Li, Faguang Yan, Yongcheng Deng +1
Rapid electron transport in the quantum well triggers many novel physical phenomena and becomes a critical point for the high-speed electronics. Here, we found electrical propertie…