papers

Publications (39)

physics.ao-ph2026

Assessing Emulator Design and Training for Modal Aerosol Microphysics Parameterizations in E3SMv2

Shady E. Ahmed, Hui Wan, Saad Qadeer +5

Toward the goal of using Scientific Machine Learning (SciML) emulators to improve the numerical representation of aerosol processes in global atmospheric models, we explore the emu…

math.NA2024

Numerical coupling of aerosol emissions, dry removal, and turbulent mixing in the E3SM Atmosphere Model version 1 (EAMv1), part II: a semi-discrete error analysis framework for assessing coupling schemes

Christopher J. Vogl, Hui Wan, Carol S. Woodward +1

This paper complements the empirical justification of the revised scheme in Part I of this work with a mathematical justification leveraging a semi-discrete analysis framework for…

cond-mat.mtrl-sci2023

Correlation between spin state and activity for hydrogen evolution

Tao Zhang, Lei Li, Tao Huang +6

Spin plays a key role in physical and chemical reactions, such as oxygen evolution and hydrogen evolution reactions (OER/HER); but the spin-activity correlation has remained unclea…

physics.ao-ph2021

CondiDiag1.0: A flexible online diagnostic tool for conditional sampling and budget analysis in the E3SM atmosphere model (EAM)

Hui Wan, Kai Zhang, Philip J. Rasch +4

Numerical models used in weather and climate prediction take into account a comprehensive set of atmospheric processes such as the resolved and unresolved fluid dynamics, radiative…

physics.flu-dyn2022

In-depth characterization and analysis of simple shear flows over regularly arranged micro pillars, I. Effect of fluid inertia

Yanxing Wang, Hui Wan, Tie Wei +1

Through high-fidelity numerical simulation, the simple shear flow over regularly arranged micro pillars has been investigated. The essential issues to be addressed include the char…

physics.flu-dyn2024

Fluid Dynamics and Passive Scalar Transport Driven by Non-Uniform Tumbling of a Prolate Spheroid in Simple Shear Flow

Yanxing Wang, Hui Wan, Tie Wei +1

Using high-fidelity numerical simulations based on a lattice Boltzmann framework, the advection-enhanced transport of a passive scalar from a prolate spheroid in simple shear flow…

cs.CL2023

Evaluating Robustness of Dialogue Summarization Models in the Presence of Naturally Occurring Variations

Ankita Gupta, Chulaka Gunasekara, Hui Wan +3

Dialogue summarization task involves summarizing long conversations while preserving the most salient information. Real-life dialogues often involve naturally occurring variations…

cs.CL2019

Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning

Tahira Naseem, Abhishek Shah, Hui Wan +3

Our work involves enriching the Stack-LSTM transition-based AMR parser (Ballesteros and Al-Onaizan, 2017) by augmenting training with Policy Learning and rewarding the Smatch score…

physics.flu-dyn2022

Enhancement of heat and mass transfer by herringbone microstructures in a simple shear flow

Yanxing Wang, Hui Wan, Tie Wei +1

The heat and mass transfer characteristics in a simple shear flow over staggered herringbone structures are numerically investigated with the lattice Boltzmann method. Two flow mot…

cs.CL2021

MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents

Song Feng, Siva Sankalp Patel, Hui Wan +1

We propose MultiDoc2Dial, a new task and dataset on modeling goal-oriented dialogues grounded in multiple documents. Most previous works treat document-grounded dialogue modeling a…

physics.flu-dyn2011

Marching of Freely Falling Plates

Hui Wan, Haibo Dong, Zachary Gaston +1

"Marching of freely falling plates" is a fluid dynamics video for the Gallery of Fluid Motion submitted to APS-DFD 2011 at Baltimore Maryland. The problem of a freely falling plate…

cs.AI2023

How Can Context Help? Exploring Joint Retrieval of Passage and Personalized Context

Hui Wan, Hongkang Li, Songtao Lu +2

The integration of external personalized context information into document-grounded conversational systems has significant potential business value, but has not been well-studied.…

physics.flu-dyn2010

An Integrated Study of Vortex Formation of Freely Flying Insects

Hui Wan, Yan Ren, Zongxian Liang +2

This is a short introduction illustrating movies submitted to "Fluid Dynamics Videos".

physics.app-ph2024

Doping-free Janus homojunction solar cell with efficiency exceeding 23%

Lei Li, Zi-Xuan Yang, Tao Huang +6

Photovoltaic solar cell is one of the main renewable energy sources, and its power conversion efficiency (PCE) is improved by employing doping or heterojunction to reduce the photo…

cs.IR2022

Fast and Light-Weight Answer Text Retrieval in Dialogue Systems

Hui Wan, Siva Sankalp Patel, J. William Murdock +2

Dialogue systems can benefit from being able to search through a corpus of text to find information relevant to user requests, especially when encountering a request for which no m…

cs.CR2026

PromptGraph: Graph-Guided Prompt Sanitization for Balancing Privacy and Utility in LLM Inference

Chen Gu, Hui Wan, Donghui Hu +2

Large Language Model (LLM) services introduce a fundamental privacy challenge. Sensitive information may be inferred not only from explicit identifiers, such as names or phone numb…

cs.CL2021

Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks

Hanjie Chen, Song Feng, Jatin Ganhotra +4

Explaining neural network models is important for increasing their trustworthiness in real-world applications. Most existing methods generate post-hoc explanations for neural netwo…

cs.CL2020

Multi-task Learning with Multi-head Attention for Multi-choice Reading Comprehension

Hui Wan

Multiple-choice Machine Reading Comprehension (MRC) is an important and challenging Natural Language Understanding (NLU) task, in which a machine must choose the answer to a questi…

stat.AP2021

Statistical computation methods for microbiome compositional data network inference

Liang Chen, Qiuyan He, Hui Wan +2

Microbes can affect processes from food production to human health. Such microbes are not isolated, but rather interact with each other and establish connections with their living…

cs.CL2020

doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset

Song Feng, Hui Wan, Chulaka Gunasekara +3

We introduce doc2dial, a new dataset of goal-oriented dialogues that are grounded in the associated documents. Inspired by how the authors compose documents for guiding end users,…

physics.ao-ph2017

Recent progress and review of issues related to Physics Dynamics Coupling in geophysical models

Markus Gross, Hui Wan, Philip J. Rasch +19

Geophysical models of the atmosphere and ocean invariably involve parameterizations. These represent two distinct areas: Subgrid processes that the model cannot resolve, and diabat…

cs.SI2016

A Proximity Measure using Blink Model

Haifeng Qian, Hui Wan, Mark N. Wegman +2

This paper proposes a new graph proximity measure. This measure is a derivative of network reliability. By analyzing its properties and comparing it against other proximity measure…

cs.CL2025

Deep Researcher with Test-Time Diffusion

Rujun Han, Yanfei Chen, Zoey CuiZhu +15

Deep research agents, powered by Large Language Models (LLMs), are rapidly advancing; yet, their performance often plateaus when generating complex, long-form research reports usin…

cs.CL2025

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Gheorghe Comanici, Eric Bieber, Mike Schaekermann +3431

In this report, we introduce the Gemini 2.X model family: Gemini 2.5 Pro and Gemini 2.5 Flash, as well as our earlier Gemini 2.0 Flash and Flash-Lite models. Gemini 2.5 Pro is our…

math.NA2019

Improving solution accuracy and convergence for stochastic physics parameterizations with colored noise

Panos Stinis, Huan Lei, Jing Li +1

Stochastic parameterizations are used in numerical weather prediction and climate modeling to help capture the uncertainty in the simulations and improve their statistical properti…

cs.CV2026

DCAU-Net: Differential Cross Attention and Channel-Spatial Feature Fusion for Medical Image Segmentation

Yanxin Li, Hui Wan, Libin Lan

Accurate medical image segmentation requires effective modeling of both long-range dependencies and fine-grained boundary details. While transformers mitigate the issue of insuffic…

cond-mat.mtrl-sci2025

Breaking the Sabatier Principle by Dynamic Adsorption-Desorption Decoupling in Electrocatalytic Hydrogen Evolution

Zi-Xuan Yang, Lei Li, Tao Huang +5

The Sabatier principle establishes a fundamental trade-off in heterogeneous electrocatalysis.In the hydrogen evolution reaction (HER), this trade-off is manifested by the coupling…

physics.flu-dyn2022

In-depth characterization and analysis of simple shear flows over regularly arranged micro pillars, II. Effect of pillar arrangement

Yanxing Wang, Hui Wan, Tie Wei +1

Through high-fidelity numerical simulation, the effect of the arrangement of micropillars on the flow characteristics and momentum transport has been extensively investigated. The…

cond-mat.mtrl-sci2025

Electronic origin of stability of 2D 1H-phase Janus transition metal dichalcogenides and beyond

Lei Li, Ji-Chun Lian, Zi-Xuan Yang +8

Janus transition metal dichalcogenides (JTMDs) monolayers have emerged as a new paradigm to broaden the family of two-dimensional (2D) materials. Despite numerous theoretical predi…

physics.app-ph2024

Symmetry-breaking-induced giant Stark effect in 2D Janus materials

Jiang-Yu Lu, Wu-Yu Chen, Lei Li +6

Symmetry breaking generally induce exotic physical properties, particularly for low-dimensional materials. Herein we demonstrate that symmetry breaking induces a giant Stark effect…

cs.SE2019

Theory-Software Translation: Research Challenges and Future Directions

Caroline Jay, Robert Haines, Daniel S. Katz +10

The Theory-Software Translation Workshop, held in New Orleans in February 2019, explored in depth the process of both instantiating theory in software - for example, implementing a…

cs.CV2023

Semi-Structured Object Sequence Encoders

Rudra Murthy, Riyaz Bhat, Chulaka Gunasekara +5

In this paper we explore the task of modeling semi-structured object sequences; in particular, we focus our attention on the problem of developing a structure-aware input represent…

cs.CV2026

TAP-SLF: Parameter-Efficient Adaptation of Vision Foundation Models for Multi-Task Ultrasound Image Analysis

Hui Wan, Libin Lan

Executing multiple tasks simultaneously in medical image analysis, including segmentation, classification, detection, and regression, often introduces significant challenges regard…

cs.CL2022

Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition

Pengshan Cai, Hui Wan, Fei Liu +3

We propose novel AI-empowered chat bots for learning as conversation where a user does not read a passage but gains information and knowledge through conversation with a teacher bo…

cs.CL2024

Deep Prompt Multi-task Network for Abuse Language Detection

Jian Zhu, Yuping Ruan, Jingfei Chang +4

The detection of abusive language remains a long-standing challenge with the extensive use of social networks. The detection task of abusive language suffers from limited accuracy.…

physics.flu-dyn2011

Cicada: a Heavy but Agile Flyer

Kuo Gai, Yan Ren, Hui Wan +1

"Cicada: a Heavy but Agile Flyer" is a fluid dynamic video submitted to Gallery of Fluid Motion in APS-DFD 2011. Comparing to other insects, cicadas can generate much higher lift t…

physics.gen-ph2017

Endo-reversible heat engines coupled to finite thermal reservoirs: A rigorous treatment

Ilki Kim, Hui Wan, Soumya S. Patnaik

We consider two specific thermodynamic cycles of engine operating in a finite time coupled to two thermal reservoirs with a finite heat capacity: The Carnot-type cycle and the Lore…

physics.comp-ph2023

Numerical coupling of aerosol emissions, dry removal, and turbulent mixing in the E3SM Atmosphere Model version 1 (EAMv1), part I: dust budget analyses and the impacts of a revised coupling scheme

Hui Wan, Kai Zhang, Christopher J. Vogl +5

An earlier study evaluating the dust life cycle in the Energy Exascale Earth System Model (E3SM) Atmosphere Model version 1 (EAMv1) has revealed that the simulated global mean dust…

physics.ao-ph2021

Quantifying and attributing time step sensitivities in present-day climate simulations conducted with EAMv1

Hui Wan, Shixuan Zhang, Philip J. Rasch +3

This study assesses the relative importance of time integration error in present-day climate simulations conducted with the atmosphere component of the Energy Exascale Earth System…