papers

Publications (31)

eess.SY2024

An Index Policy Based on Sarsa and Q-learning for Heterogeneous Smart Target Tracking

Yuhang Hao, Zengfu Wang, Jing Fu +1

In solving the non-myopic radar scheduling for multiple smart target tracking within an active and passive radar network, we need to consider both short-term enhanced tracking perf…

cs.CV2024

NTIRE 2024 Quality Assessment of AI-Generated Content Challenge

Xiaohong Liu, Xiongkuo Min, Guangtao Zhai +111

This paper reports on the NTIRE 2024 Quality Assessment of AI-Generated Content Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancemen…

cond-mat.mtrl-sci2024

Towards establishing best practice in the analysis of hydrogen and deuterium by atom probe tomography

Baptiste Gault, Aparna Saksena, Xavier Sauvage +42

As hydrogen is touted as a key player in the decarbonization of modern society, it is critical to enable quantitative H analysis at high spatial resolution, if possible at the atom…

math.OC2024

Multi-Action Restless Bandits with Weakly Coupled Constraints: Simultaneous Learning and Control

Jing Fu, Bill Moran, José Niño-Mora

We study a system with finitely many groups of multi-action bandit processes, each of which is a Markov decision process (MDP) with finite state and action spaces and potentially d…

math.OC2020

A Restless Bandit Model for Resource Allocation, Competition and Reservation

Jing Fu, Bill Moran, Peter G. Taylor

We study a resource allocation problem with varying requests, and with resources of limited capacity shared by multiple requests. It is modeled as a set of heterogeneous Restless M…

cs.LG2025

Constructing a Question-Answering Simulator through the Distillation of LLMs

Haipeng Liu, Ting Long, Jing Fu

The question-answering (QA) simulator is a model that mimics real student learning behaviors and predicts their correctness of their responses to questions. QA simulators enable ed…

eess.SY2023

Non-myopic Beam Scheduling for Multiple Smart Target Tracking in Phased Array Radar Network

Yuhang Hao, Zengfu Wang, José Niño-Mora +3

A smart target, also referred to as a reactive target, can take maneuvering motions to hinder radar tracking. We address beam scheduling for tracking multiple smart targets in phas…

cs.AI2026

Act As a Real Researcher: A Suite of Benchmarks Evaluating Frontier LLMs and Agentic Harnesses in Research Lifecycle

Jiayu Wang, Weijiang Lv, Bowen Fu +8

As foundation models advance and agent scaffolding becomes increasingly sophisticated, agents have demonstrated remarkable proficiency in complex, long-horizon coding tasks and eve…

math.OC2026

Weakly-Coupled Multi-Action Restless Bandits -- Exponential Convergence in Probability

Jing Fu, Bill Moran, Jose Nino-Mora

We study a finite time horizon Markov decision process (MDP) consisting of several groups of multi-action finite-state restless bandit processes, which are identical within each gr…

physics.comp-ph2020

Harmonic surface mapping algorithm for electrostatic potentials in an atomistic/continuum hybrid model for electrolyte solutions

Jing Fu, Zecheng Gan

Simulating charged many-body systems has been a computational demanding task due to the long-range nature of electrostatic interaction. For the multi-scale model of electrolytes wh…

math.OC2022

Energy Efficient Priority-Based Task Scheduling for Computation Offloading in Fog Computing

Jiaying Yin, Jing Fu, Jingjin Wu +1

Fog computing offers a flexible solution for computational offloading for Internet of Things (IoT) services at the edge of wireless networks. It serves as a complement to tradition…

math.PR2023

A Study of a Loss System with Priorities

Hang Yang, Jing Fu, Jingjin Wu +1

The Erlang loss formula, also known as the Erlang B formula, has been known for over a century and has been used in a wide range of applications, from telephony to hospital intensi…

cond-mat.mtrl-sci2020

Direct imaging of liquid-nanoparticle interface with atom probe tomography

Shi. Qiu, Changxi Zheng, Qi Zhou +8

Understanding the structure and chemical composition at the liquid-nanoparticle (NP) interface is crucial for a wide range of physical, chemical and biological processes. In this s…

eess.SP2024

Interference Mitigation in LEO Constellations with Limited Radio Environment Information

Fernando Moya Caceres, Akram Al-Hourani, Saman Atapattu +8

This research paper delves into interference mitigation within Low Earth Orbit (LEO) satellite constellations, particularly when operating under constraints of limited radio enviro…

physics.app-ph2023

Nanoscale Analysis of Frozen Water by Atom Probe Tomography Using Graphene Encapsulation and Cryo-Workflows: A Parametric Study

Florant Exertier, Levi Tegg, Adam Taylor +3

There has been an increasing interest in atom probe tomography (APT) to characterise hydrated and biological materials. A major benefit of APT compared to microscopy techniques mor…

eess.SY2023

Combinatorial-restless-bandit-based Transmitter-Receiver Online Selection for Distributed MIMO Radars With Non-Stationary Channels

Yuhang Hao, Zengfu Wang, Jing Fu +3

We track moving targets with a distributed multiple-input multiple-output (MIMO) radar, for which the transmitters and receivers are appropriately paired and selected with a limite…

cs.DC2020

Energy-Efficient Job-Assignment Policy with Asymptotically Guaranteed Performance Deviation

Jing Fu, Bill Moran

We study a job-assignment problem in a large-scale server farm system with geographically deployed servers as abstracted computer components (e.g., storage, network links, and proc…

cs.CV2026

CorePath: A Breast-Specialized Pathology Foundation Model for Core Needle Biopsy Diagnosis and Risk-Controlled Report Generation

Ting Yin, Danning Li, Chen Shu +17

Breast core needle biopsy (CNB) is central to breast cancer diagnosis yet remains challenging because limited tissue sampling, lesion heterogeneity, and subtle morphologic overlap…

physics.med-ph2024

Experts' cognition-driven ensemble deep learning for external validation of predicting pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer

Yongquan Yang, Fengling Li, Yani Wei +4

In breast cancer, neoadjuvant chemotherapy (NAC) provides a standard treatment option for patients who have locally advanced cancer and some large operable tumors. A patient will h…

cond-mat.mtrl-sci2022

Substrate-mediated Borophane Polymorphs through Hydrogenation of Two-dimensional Boron Sheets

Yuchong Kang, Xiaoyun Ma, Jing Fu +5

Two-dimensional boron monolayer (borophene) stands out from the two-dimensional atomic layered materials due to its structural flexibility, tunable electronic and mechanical proper…

physics.app-ph2020

Graphene nanopipette enabled liquid delivery at zeptoliter precision

Shi Qiu, Yu Chen, Gediminas Gervinskas +4

Accurate extraction of liquid is the first step towards low-volume liquid delivery and nanocharacterization, which plays a significant role in biomedical research. In this study, a…

cs.CV2025

Deep Learning-Based Longitudinal Prediction of Childhood Myopia Progression Using Fundus Image Sequences and Baseline Refraction Data

Mengtian Kang, Yansong Hu, Shuo Gao +13

Childhood myopia constitutes a significant global health concern. It exhibits an escalating prevalence and has the potential to evolve into severe, irreversible conditions that det…

eess.SP2025

Uniform Planar Array Based Weighted Cooperative Spectrum Sensing for Cognitive Radio Networks

Charith Dissanayake, Saman Atapattu, Prathapasinghe Dharmawansa +3

Cooperative spectrum sensing (CSS) is essential for improving the spectrum efficiency and reliability of cognitive radio applications. Next-generation wireless communication networ…

math.OC2024

A Restless Bandit Model for Dynamic Ride Matching with Reneging Travelers

Jing Fu, Lele Zhang, Zhiyuan Liu

This paper studies a large-scale ride-matching problem with a large number of travelers who are either drivers with vehicles or riders looking for sharing vehicles. Drivers can mat…

cs.IT2026

On the Convergence of Belief Propagation for Multipath Data Association in Target Tracking

Kuilong Yang, Zengfu Wang, Hua Lan +1

Belief propagation (BP) is widely used for data association (DA) in target tracking. Existing convergence analyses of BP for DA address only the two-way correspondence between targ…

cs.DC2024

Energy Efficient Offloading Policies in Multi-Access Edge Computing Systems with Task Handover

Ling Hou, Shi Li, Zhishu Shen +3

The rapid growth of mobile devices and the increasing complexity of tasks have made energy efficiency a critical challenge in Multi-Access Edge Computing (MEC) systems. This paper…

math.OC2023

A Restless Bandit Model for Energy-Efficient Job Assignments in Server Farms

Jing Fu, Xinyu Wang, Zengfu Wang +1

We aim to maximize the energy efficiency, gauged as average energy cost per job, in a large-scale server farm with various storage or/and computing components modeled as parallel a…

eess.SY2023

Joint State Estimation and Noise Identification Based on Variational Optimization

Hua Lan, Shijie Zhao, Jinjie Hu +2

In this article, the state estimation problems with unknown process noise and measurement noise covariances for both linear and nonlinear systems are considered. By formulating the…

cs.CV2026

OVEarth-Bench: Evaluating Category Breadth and Query Diversity for Open-Vocabulary Earth Observation

Kaiyu Li, Zepeng Xin, Zixuan Jiang +4

The paper presents OVEarth-Bench, a new benchmark for open-vocabulary Earth observation that evaluates models on a wide hierarchical set of categories and diverse query types, supp…

#open-vocabulary#earth observation#benchmark#zero-shot
cs.CV2025

NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment

Shuhao Han, Haotian Fan, Fangyuan Kong +112

This paper reports on the NTIRE 2025 challenge on Text to Image (T2I) generation model quality assessment, which will be held in conjunction with the New Trends in Image Restoratio…

math.OC2024

Coordinated Multi-Agent Patrolling with State-Dependent Cost Rates: Asymptotically Optimal Policies for Large-Scale Systems

Jing Fu, Zengfu Wang, Jie Chen

We study a large-scale patrol problem with state-dependent costs and multi-agent coordination.We consider heterogeneous agents, rather general reward functions, and the capabilitie…