papers

Publications (32)

physics.optics2020

Single-scan, dual-functional interferometer for fast spatiotemporal characterization of few-cycle pulses

Yifei Chen, Zhiyuan Huang, Ding Wang +5

Accurate and fast characterization of spatiotemporal information of high-intensity, ultrashort pulses is crucial in the field of strong-field laser science and technology. While co…

physics.optics2021

Photoionization-induced broadband dispersive wave generated in an Ar-filled hollow-core photonic crystal fiber

Jianhua Fu, Yifei Chen, Zhiyuan Huang +7

The resonance band in hollow-core photonic crystal fiber (HC-PCF), while leading to high-loss region in the fiber transmission spectrum, has been successfully used for generating p…

cs.CR2024

Graph Neural Network Explanations are Fragile

Jiate Li, Meng Pang, Yun Dong +2

Explainable Graph Neural Network (GNN) has emerged recently to foster the trust of using GNNs. Existing GNN explainers are developed from various perspectives to enhance the explan…

physics.acc-ph2025

Isolated attosecond free-electron laser based on a sub-cycle driver from hollow capillary fibers

Yaozong Xiao, Tiandao Chen, Bo Liu +4

The attosecond light source provides an advanced tool for investigating electron motion using time-resolved-spectroscopy techniques. Isolated attosecond pulses, especially, will si…

physics.optics2024

Octave-wide broadening of ultraviolet dispersive wave driven by soliton-splitting dynamics

Tiandao Chen, Jinyu Pan, Zhiyuan Huang +9

Coherent dispersive wave emission, as an important phenomenon of soliton dynamics, manifests itself in multiple platforms of nonlinear optics from fibre waveguides to integrated ph…

cs.LG2025

You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data

Shanshan Yan, Zexi Li, Chao Wu +4

Data heterogeneity, stemming from local non-IID data and global long-tailed distributions, is a major challenge in federated learning (FL), leading to significant performance gaps…

cs.CR2024

Understanding Data Reconstruction Leakage in Federated Learning from a Theoretical Perspective

Zifan Wang, Binghui Zhang, Meng Pang +2

Federated learning (FL) is an emerging collaborative learning paradigm that aims to protect data privacy. Unfortunately, recent works show FL algorithms are vulnerable to the serio…

cs.CV2025

Facial Expression-based Parkinson's Disease Severity Diagnosis via Feature Fusion and Adaptive Class Balancing

Yintao Zhou, Wei Huang, Zhengyu Li +2

Parkinson's disease (PD) severity diagnosis is crucial for early detecting potential patients and adopting tailored interventions. Diagnosing PD based on facial expression is groun…

cs.CR2023

Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function

Binghui Wang, Tianxiang Zhou, Minhua Lin +5

Graph neural network (GNN), the mainstream method to learn on graph data, is vulnerable to graph evasion attacks, where an attacker slightly perturbing the graph structure can fool…

physics.optics2023

Broadband Dispersive-Wave Emission Coupled with Two-Stage Soliton Self-Compression in Gas-Filled Anti-Resonant Hollow-Core Fibers

Jinyu Pan, Zhiyuan Huang, Yifei Chen +9

We studied the underlying mechanism of broadband dispersive-wave emission within a resonance band of gas-filled anti-resonant hollow-core fiber. Both theoretical and experimental r…

cs.CR2025

Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks

Jiate Li, Meng Pang, Yun Dong +2

Explaining Graph Neural Network (XGNN) has gained growing attention to facilitate the trust of using GNNs, which is the mainstream method to learn graph data. Despite their growing…

physics.optics2022

Self-referencing 3D characterization of ultrafast optical-vortex beams using tilted interference TERMITES technique

Jinyu Pan, Yifei Chen, Zhiyuan Huang +6

Femtosecond light pulses carrying optical angular momentums (OAMs), possessing intriguing properties of helical phase fronts and ultrafast temporal profiles, enable many applicatio…

cs.CR2020

Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs

Houxiang Fan, Binghui Wang, Pan Zhou +6

Link prediction in dynamic graphs (LPDG) is an important research problem that has diverse applications such as online recommendations, studies on disease contagion, organizational…

physics.optics2024

Retiming dynamics of harmonically modelocked laser solitons in a self-driven optomechanical lattice

Xiaocong Wang, Benhai Wang, Wenbin He +6

Harmonic mode-locking, realized actively or passively, is an effective technique for increasing the repetition rate of lasers, with important applications in optical sampling, lase…

physics.optics2020

Photoionization-assisted, high-efficiency emission of dispersive wave in gas-filled hollow-core photonic crystal fibers

Yifei Chen, Zhiyuan Huang, Fei Yu +6

We demonstrate that the phase-matched dispersive wave (DW) emission within the resonance band of a 25-cm-long gas-filled hollow-core photonic crystal fiber (HC-PCF) can be strongly…

cs.CR2024

A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning

Yuxin Yang, Qiang Li, Chenfei Nie +3

Federated Learning (FL) is a novel client-server distributed learning framework that can protect data privacy. However, recent works show that FL is vulnerable to poisoning attacks…

physics.optics2026

Hierarchical self-organization of highly-ordered granular ensemble of optical solitons through collective motions

Xiaocong Wang, Benhai Wang, Haochen Lin +6

Self-organizations of ordered patterns in far-from-equilibrium many-body systems host fundamental importance in many disciplines. Meanwhile, complex systems often feature hierarchi…

physics.optics2025

Flexible delivery of high-power picosecond laser in purely-single optical mode of anti-resonant hollow-core fiber for micromachining

Xinshuo Chang, Qinan Jiang, Zhiyuan Huang +11

We present the flexible delivery of picosecond laser pulses with up to 20 W average power over a 3-m-long sample of anti-resonant hollow-core fiber (AR-HCF) for laser micromachinin…

cs.LG2025

Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations

Jiate Li, Meng Pang, Yun Dong +1

Graph neural networks (GNNs) are becoming the de facto method to learn on the graph data and have achieved the state-of-the-art on node and graph classification tasks. However, rec…

physics.optics2021

Large evanescently-induced Brillouin scattering at the surrounding of a nanofibre

Fan Yang, Flavien Gyger, Adrien Godet +5

Brillouin scattering has been widely exploited for advanced photonics functionalities such as microwave photonics, signal processing, sensing, lasing, and more recently in micro- a…

physics.optics2026

Enhancement of vacuum-ultraviolet dispersive-wave emission using gas-filled tapered hollow-core fibers

Yinuo Zhao, Donghan Liu, Baoqi Shi +12

The recent breakthroughs in laser-driving 229Th nuclear transition have created an urgent demand for coherent vacuum-ultraviolet (VUV) sources delivering high spectral brightness a…

physics.optics2022

Measurements of microjoule-level, few-femtosecond ultraviolet dispersive-wave pulses generated in gas-filled hollow capillary fibers

Cheng Zhang, Tiandao Chen, Jinyu Pan +11

High-energy ultraviolet pulse generation in gas-filled hollow capillary fibers (HCFs) through dispersive-wave-emission process, has attracted considerable attentions in recent seve…

physics.optics2025

Three-stage dynamics of nonlinear pulse amplification in ultrafast mid-infrared fiber amplifier with anomalous dispersion

Weiyi Sun, Jiapeng Huang, Liming Chen +9

Nonlinear pulse amplification in optical fiber, with capability of breaking the gain-bandwidth limitation, is a key technique for high-energy, ultrafast pulse generation. In the lo…

physics.optics2024

Tunable ultraviolet dispersive-wave emission driven directly by 40-fs Ti: sapphire laser pulses in hollow capillary fiber

Tiandao Chen, Zhiyuan Huang, Jinyu Pan +8

We demonstrate that by using 1-m-long gas-filled hollow capillary fiber (HCF) with a core diameter of 100 μm, tunable ultraviolet (UV) dispersive-wave (DW) pulses can be generated…

physics.optics2023

Highly-stable, flexible delivery of microjoule-level ultrafast pulses in vacuumized anti-resonant hollow-core fibers for active synchronization

Chuanchuan Yan, Hongyang Li, Zhiyuan Huang +13

We demonstrate the stable and flexible light delivery of multi-μJ, sub-200-fs pulses over a ~10-m-long vacuumized anti-resonant hollow-core fiber (AR-HCF), which was successfully…

physics.optics2025

Flexible delivery of broadband, 100-fs mid-infrared pulses in the water-absorption band using hollow-core photonic crystal fibre

Wei Lin, Zeqing Li, Yuewen Teng +9

High quality free-space and over-fibre transmission of mid-IR light is limited by factors such as material-related absorption, diffraction, light leakage and nonlinearity. Conventi…

physics.optics2020

Massively parallel optical-soliton reactors

Wenbin He, Meng Pang, Dung-Han Yeh +2

Mode-locked lasers have been widely used to explore interactions between optical solitons, including bound-soliton states that may be regarded as "photonic molecules". Conventional…

physics.optics2026

Low-threshold efficient N lasing driven by sub-cycle soliton dynamics in a hollow waveguide

Tiandao Chen, Zhiyuan Huang, Jinyu Pan +12

The phenomenon of N lasing, observed in femtosecond-laser filamentation, attract considerable interests in recent several years, with great application potentials in fields…

physics.optics2026

Deep-ultraviolet Cherenkov radiation in all-normal-dispersion waveguide enabled by spatial-temporal dynamics

Tiandao Chen, Zhiyuan Huang, Jinyu Pan +12

Nonlinear propagation of ultrashort pulses in multi-mode waveguides, featuring complex spatial-temporal dynamics, provides new degrees of freedom in the fields of nonlinear optics…

cs.CR2023

Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks

Binghui Wang, Meng Pang, Yun Dong

Graph neural networks (GNNs) have achieved state-of-the-art performance in many graph learning tasks. However, recent studies show that GNNs are vulnerable to both test-time evasio…

cs.CR2024

Practicable Black-box Evasion Attacks on Link Prediction in Dynamic Graphs -- A Graph Sequential Embedding Method

Jiate Li, Meng Pang, Binghui Wang

Link prediction in dynamic graphs (LPDG) has been widely applied to real-world applications such as website recommendation, traffic flow prediction, organizational studies, etc. Th…

cs.CV2025

A Multimodal In Vitro Diagnostic Method for Parkinson's Disease Combining Facial Expressions and Behavioral Gait Data

Wei Huang, Yinxuan Xu, Yintao Zhou +3

Parkinson's disease (PD), characterized by its incurable nature, rapid progression, and severe disability, poses significant challenges to the lives of patients and their families.…