papers

Publications (38)

cs.LG2024

Online Sequential Decision-Making with Unknown Delays

Ping Wu, Heyan Huang, Zhengyang Liu

In the field of online sequential decision-making, we address the problem with delays utilizing the framework of online convex optimization (OCO), where the feedback of a decision…

cs.AI2026

ForesightSafety Bench: A Frontier Risk Evaluation and Governance Framework towards Safe AI

Haibo Tong, Feifei Zhao, Linghao Feng +18

Rapidly evolving AI exhibits increasingly strong autonomy and goal-directed capabilities, accompanied by derivative systemic risks that are more unpredictable, difficult to control…

eess.SY2020

Fault Diagnosis of the 10MW Floating Offshore Wind Turbine Benchmark: a Mixed Model and Signal-based Approach

Yichao Liu, Riccardo Ferrari, Ping Wu +3

Floating Offshore Wind Turbines (FOWTs) operate in the harsh marine environment with limited accessibility and maintainability. Not only failures are more likely to occur than in l…

cond-mat.mtrl-sci2011

First-Principles Thermodynamics of Graphene Growth on Cu Surface

Wenhua Zhang, Ping Wu, Zhenyu Li +1

Chemical vapor deposition (CVD) is an important method to synthesis grapheme on a substract. Recently, Cu becomes the most popular CVD substrate for graphene growth. Here, we combi…

cond-mat.mtrl-sci2013

Orientation Sensitive Nonlinear Growth of Graphene: A Geometry-determined Epitaxial Growth Mechanism

Huijun Jiang, Ping Wu, Zhonghuai Hou +2

Although the corresponding carbon-metal interactions can be very different, a similar nonlinear growth behavior of graphene has been observed for different metal substrates. To und…

eess.SY2020

Fault Detection of the Mooring system in Floating Offshore Wind Turbines based on the Wave-excited Linear Model

Yichao Liu, Alessandro Fontanella, Ping Wu +2

Floating Offshore Wind Turbines (FOWTs) are more prone to suffer from faults and failures than bottom-fixed counterparts due to the severe wind and wave loads typical of deep water…

cs.CR2025

Cybersquatting in Web3: The Case of NFT

Kai Ma, Ningyu He, Jintao Huang +3

Cybersquatting refers to the practice where attackers register a domain name similar to a legitimate one to confuse users for illegal gains. With the growth of the Non-Fungible Tok…

eess.SY2020

Fast Adaptive Fault Accommodation in Floating Offshore Wind Turbines via Model-Based Fault Diagnosis and Subspace Predictive Repetitive Control

Yichao Liu, Ping Wu, Riccardo M. G. Ferrari +1

As Floating Offshore Wind Turbines (FOWTs) operate in deep waters and are subjected to stressful wind and wave induced loads, they are more prone than onshore counterparts to exper…

q-bio.QM2019

A Fully-Automatic Framework for Parkinson's Disease Diagnosis by Multi-Modality Images

Jiahang Xu, Fangyang Jiao, Yechong Huang +7

Background: Parkinson's disease (PD) is a prevalent long-term neurodegenerative disease. Though the diagnostic criteria of PD are relatively well defined, the current medical imagi…

cs.CL2026

C-VARC: A Large-Scale Chinese Value Rule Corpus for Value Alignment of Large Language Models

Ping Wu, Guobin Shen, Dongcheng Zhao +6

Ensuring that Large Language Models (LLMs) align with mainstream human values and ethical norms is crucial for the safe and sustainable development of AI. Current value evaluation…

eess.SY2020

Fault-Tolerant Individual Pitch Control of Floating Offshore Wind Turbines via Subspace Predictive Repetitive Control

Yichao Liu, Joeri Frederik, Riccardo M. G. Ferrari +3

Individual Pitch Control (IPC) is an effective and widely-used strategy to mitigate blade loads in wind turbines. However, conventional IPC fails to cope with blade and actuator fa…

cs.LG2026

Scalable Batch Bayesian Optimization Via Subspace Acquisition Functions

Dawei Zhan, Zhaoxi Zeng, Shuoxiao Wei +1

Extending Bayesian optimization to batch evaluation can enable the designer to make the most use of parallel computing technology. However, most of current batch approaches do not…

cs.LG2024

Anomaly Correction of Business Processes Using Transformer Autoencoder

Ziyou Gong, Xianwen Fang, Ping Wu

Event log records all events that occur during the execution of business processes, so detecting and correcting anomalies in event log can provide reliable guarantee for subsequent…

cond-mat.mtrl-sci2015

Evaluation of Phosphorene as Anode Material for Na-ion Batteries from First Principles

Vadym V. Kulish, Oleksandr I. Malyi, Clas Persson +1

We systematically evaluate the prospects of a novel 2D nanomaterial, phosphorene, as anode for Na-ion batteries. Using first-principles calculations, we determine the Na adsorption…

cs.AI2026

K-Gen: A Multimodal Language-Conditioned Approach for Interpretable Keypoint-Guided Trajectory Generation

Mingxuan Mu, Guo Yang, Lei Chen +2

Generating realistic and diverse trajectories is a critical challenge in autonomous driving simulation. While Large Language Models (LLMs) show promise, existing methods often rely…

cs.LG2026

Multi-Level Safety Continual Projection for Fine-Tuned Large Language Models without Retraining

Bing Han, Feifei Zhao, Dongcheng Zhao +4

While fine-tuning services drive the rapid expansion of task capabilities in large language models (LLMs), they are often accompanied by the degradation and reorganization of safet…

cond-mat.mes-hall2025

Observation of robust one-dimensional edge channels in a three-dimensional quantum spin Hall insulator

Shuikang Yu, Junze Deng, Wenhao Liu +13

Topologically protected edge channels show prospects for quantum devices. They have been found experimentally in two-dimensional (2D) quantum spin Hall insulators (QSHIs), weak top…

cs.AI2026

WM-Cov: Test Adequacy for Interactive World-Model-Style Autonomous Driving Simulation

Jianxun Cui, Ping Wu, Stanisa Peric +2

World models and generative simulators are emerging as interactive testing infrastructure for autonomous driving because they can react to the ego planner and produce counterfactua…

cond-mat.supr-con2026

Visualizing the interplay of dual electronic nematicities in kagome superconductors

Yunmei Zhang, Jun Zhan, Ping Wu +15

Kagome superconductor AVSb (A stands for K, Rb, and Cs) hosts a wealth of intertwined electronic orders driven by geometric frustration and electron correlations. Among the…

cs.LG2026

ReOrder-OPD:Reliability-Aware Prompt Ordering for On-Policy Distillation

Ximo Zhu, Ruiqi Liu, Rong Wang +8

On-policy distillation (OPD) applies token-level teacher supervision to student-generated trajectories, but this supervision is not always reliable. Existing methods use local conf…

eess.SY2025

Response-Based Frequency Stability Assessment under Multi-Scale Disturbances in High-Renewable Power Systems

Jinhui Chen, Huadong Sun, Ping Wu +2

In high-renewable power systems, active-power disturbances are becoming larger and exhibit increasingly diverse time scales, which complicates frequency stability assessment under…

cond-mat.mtrl-sci2010

Coalescence of Carbon Atoms on Cu (111) Surface: Emergence of a Stable Bridging-Metal Structure Motif

Ping Wu, Wenhua Zhang, Zhenyu Li +2

By combining first principles transition state location and molecular dynamics simulation, we unambiguously identify a carbon atom approaching induced bridging metal structure form…

cond-mat.mtrl-sci2014

Bilayer Graphene Growth via a Penetration Mechanism

Ping Wu, Xiaofang Zhai, Zhenyu Li +1

From both fundamental and technical points of view, a precise control of the layer number of graphene samples is very important. To reach this goal, atomic scale mechanisms of mult…

cs.AI2026

ForesightSafety-SAGE:A Fully Automated Scenario Generation and Safety Evaluation Framework for LLM Agents

Lu Jia, Haibo Tong, Feifei Zhao +5

Large language models (LLMs) are increasingly evolving from simple text-based interaction systems into LLM agents that can maintain memory, use tools, access external environments,…

cond-mat.mtrl-sci2025

Nanoscale determination of the metal-insulator transition in intercalated bulk VSe

Wanru Ma, Ye Yang, Zuowei Liang +4

Two-dimensional (2D) materials provide unique opportunities to realize emergent phenomena by reducing dimensionality. Using scanning tunneling microscopy combined with first-princi…

cond-mat.mtrl-sci2017

Band Gap Modulation of SrTiO3 upon CO2 Adsorption

Kostiantyn V. Sopiha, Oleksandr I. Malyi, Clas Persson +1

CO2 chemisorption on SrTiO3(001) surfaces is studied using ab initio calculations in order to establish new chemical sensing mechanisms. We find that CO2 adsorption opens the mater…

cond-mat.mtrl-sci2011

Chemical Vapor Deposition Growth of Graphene using Other Hydrocarbon Sources

Zhancheng Li, Ping Wu, Chenxi Wang +7

Graphene has attracted a lot of research interests due to its exotic properties and a wide spectrum of potential applications. Chemical vapor deposition (CVD) from gaseous hydrocar…

cond-mat.mtrl-sci2018

Suppression of Surfaces States at Cubic Perovskite (001) Surfaces by CO Adsorption

Kostiantyn V. Sopiha, Oleksandr I. Malyi, Clas Persson +1

By using first-principles approach, the interaction of CO with (001) surfaces of six cubic ABO perovskites (A = Ba, Sr and B = Ti, Zr, Hf) is studied in detail. We show…

cond-mat.mtrl-sci2011

Atomistic Mechanisms of Nonlinear Graphene Growth on Ir Surface

Ping Wu, Huijun Jiang, Wenhua Zhang +3

As a two-dimensional material, graphene can be naturally obtained via epitaxial growth on a suitable substrate. Growth condition optimization usually requires an atomistic level un…

econ.GN2025

U.S. Economy and Global Stock Markets: Insights from a Distributional Approach

Ping Wu, Dan Zhu

Financial markets are interconnected, with micro-currents propagating across global markets and shaping economic trends. This paper moves beyond traditional stock market indices to…

quant-ph2014

Field and long-term demonstration of a wide area quantum key distribution network

Shuang Wang, Wei Chen, Zhen-Qiang Yin +20

A wide area quantum key distribution (QKD) network deployed on communication infrastructures provided by China Mobile Ltd. is demonstrated. Three cities and two metropolitan area Q…

cond-mat.supr-con2025

Unveiling the landscape of Mottness and its proximity to superconductivity in 4Hb-TaS

Ping Wu, Zhuying Wang, Yunmei Zhang +15

Mott physics is at the root of a plethora of many-body quantum phenomena in quantum materials. Recently, the stacked or twisted structures of van der Waals (vdW) materials have eme…

cond-mat.mtrl-sci2018

A New Two-Dimensional Functional Material with Desirable Bandgap and Ultrahigh Carrier Mobility

Ning Lu, Zhiwen Zhuo, Hongyan Guo +4

Two-dimensional (2D) semiconductors with direct and modest bandgap and ultrahigh carrier mobility are highly desired functional materials for nanoelectronic applications. Herein, w…

cond-mat.mtrl-sci2017

Tailoring electronic properties of multilayer phosphorene by siliconization

Oleksandr I. Malyi, Kostiantyn V. Sopiha, Ihor Radchenko +2

Controlling a thickness dependence of electronic properties for two-dimensional (2d) materials is among primary goals for their large-scale applications. Herein, employing a first-…

math.ST2012

Efficient estimation of moments in linear mixed models

Ping Wu, Winfried Stute, Li-Xing Zhu

In the linear random effects model, when distributional assumptions such as normality of the error variables cannot be justified, moments may serve as alternatives to describe rele…

cond-mat.supr-con2023

Unidirectional electron-phonon coupling as a "fingerprint'' of the nematic state in a kagome superconductor

Ping Wu, Yubing Tu, Zhuying Wang +15

Electronic nematicity has been commonly observed in juxtaposition with unconventional superconductivity. Understanding the nature of the nematic state, as well as its consequence o…

cond-mat.supr-con2021

Three-dimensional charge density wave and robust zero-bias conductance peak inside the superconducting vortex core of a kagome superconductor CsVSb

Zuowei Liang, Xingyuan Hou, Fan Zhang +9

The transition-metal-based kagome metals provide a versatile platform for correlated topological phases hosting various electronic instabilities. While superconductivity is rare in…

cs.CV2018

Learning Optimal Deep Projection of F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes

Shubham Kumar, Abhijit Guha Roy, Ping Wu +10

Several diseases of parkinsonian syndromes present similar symptoms at early stage and no objective widely used diagnostic methods have been approved until now. Positron emission t…