Publications (61)
Origin of Giant Phonon Magnetic Moment in Orbital Seebeck Effect: a Heisenberg-type L-L Coupling
Hong Sun, Jinxin Zhong, Yimin Yao +2
Inspired by the recent observation of the orbital Seebeck effect in alpha-quartz, we identify an intrinsic amplification mechanism for thermally generated phonon angular momentum a…
USCTNet: A deep unfolding nuclear-norm optimization solver for physically consistent HSI reconstruction
Xiaoyang Ma, Yiyang Chai, Xinran Qu +1
Reconstructing hyperspectral images (HSIs) from a single RGB image is ill-posed and can become physically inconsistent when the camera spectral sensitivity (CSS) and scene illumina…
Abnormal Phonon Angular Momentum due to Off-diagonal Elements in Density Matrix induced by Temperature Gradient
Jinxin Zhong, Hong Sun, Yang Pan +4
Nonzero mean value of phonon angular momentum (PAM) in chiral materials can be generated when a temperature gradient is applied. We find that both diagonal and off-diagonal terms o…
A scalable approach for developing clinical risk prediction applications in different hospitals
Hong Sun, Kristof Depraetere, Laurent Meesseman +7
Objective: Machine learning algorithms are now widely used in predicting acute events for clinical applications. While most of such prediction applications are developed to predict…
Phonon angular momentum induced by Terahertz electric field
Hong Sun, Xiaozhe Li, Lifa Zhang
Despite the growing interest in phonon angular momentum (AM) in recent years, current studies remain limited to a few materials due to the constraints imposed by time reversal symm…
A Class of Deterministic Sensing Matrices and Their Application in Harmonic Detection
Shan Huang, Hong Sun, Lei Yu +1
In this paper, a class of deterministic sensing matrices are constructed by selecting rows from Fourier matrices. These matrices have better performance in sparse recovery than ran…
A Service-oriented Infrastructure Approach for Mutual Assistance Communities
Ning Gui, Vincenzo De Florio, Hong Sun +1
Elder people are becoming a predominant aspect of our societies. As such, solutions both efficacious and cost-effective need to be sought. This paper proposes a service-oriented in…
Participant: A New Concept for Optimally Assisting the Elder People
Hong Sun, Vincenzo De Florio, Ning Gui +1
Elder people are becoming a predominant aspect of our societies. As such, solutions both efficacious and cost-effective need to be sought. The approach pursued so far to solve this…
AutoHint: Automatic Prompt Optimization with Hint Generation
Hong Sun, Xue Li, Yinchuan Xu +5
This paper presents AutoHint, a novel framework for automatic prompt engineering and optimization for Large Language Models (LLM). While LLMs have demonstrated remarkable ability i…
Measurement of the neutron beam profile of the Back-n white neutron facility at CSNS with a Micromegas detector
Binbin Qi, Yang Li, Danyang Zhu +83
The Back-n white neutron beam line, which uses back-streaming white neutrons from the spallation target of the China Spallation Neutron Source, is used for nuclear data measurement…
An Intrinsic Advantage of Sexual Reproduction
Xiang-Ping Jia, Hong Sun
The prevalence of sexual reproduction ("sex") in eukaryotes is an enigma of evolutionary biology. Sex increases genetic variation only tells its long-term superiority in essence. T…
The Invitation Trap: Proactive Availability Backdoor in LLMs via Conversational Induction
He Wang, Jun Feng, Hong Sun +1
Current backdoor attacks against LLMs are typically manipulated by the attacker and remain passive. In this paper, we introduce the \textbf{Proactive Availability Backdoor (PAB)},…
Sparse Signal Subspace Decomposition Based on Adaptive Over-complete Dictionary
Hong Sun, Chengwei Sang, Didier Le Ruyet
This paper proposes a subspace decomposition method based on an over-complete dictionary in sparse representation, called "Sparse Signal Subspace Decomposition" (or 3SD) method. Th…
A Dual Sparse Decomposition Method for Image Denoising
Hong Sun, Chen-guang Liu, Cheng-wei Sang
This article addresses the image denoising problem in the situations of strong noise. We propose a dual sparse decomposition method. This method makes a sub-dictionary decompositio…
On-the-fly machine learning-augmented constrained AIMD to design new routes from glassy carbon to quenchable amorphous diamond with low pressure and temperature
Meng-Qi Cheng, Wei-Dong Luo, Hong Sun
Recent advances in machine learning have enabled large-scale atomic simulations with first-principles accuracy, allowing precise modeling of disordered materials such as glassy car…
Superconducting energy gaps, low temperature specific heat, and quasiparticle spectra of MgB2
Hyoung Joon Choi, David Roundy, Hong Sun +2
We report first-principles calculations of the k- and T-dependent superconducting gap Delta(k,T) in MgB2 and its manifestation in various measured quantities. Because the Fermi sur…
Principal Basis Analysis in Sparse Representation
Hong Sun, Cheng-Wei Sang, Chen-Guang Liu
This article introduces a new signal analysis method, which can be interpreted as a principal component analysis in sparse decomposition of the signal. The method, called principal…
Frequency Estimation of Multiple Sinusoids with Sub-Nyquist Sampling Sequences
Shan Huang, Hong Sun, Haijian Zhang +1
In some applications of frequency estimation, the frequencies of multiple sinusoids are required to be estimated from sub-Nyquist sampling sequences. In this paper, we propose a no…
A Design Tool to Reason about Ambient Assisted Living Systems
Hong Sun, Vincenzo De Florio, Chris Blondia
This paper proposes a design tool to investigate the properties and emergent behaviours of a special class of Ambient Assisted Living systems, namely mutual assistance communities…
Frequency Estimation of Multiple Sinusoids with Three Sub-Nyquist Channels
Shan Huang, Haijian Zhang, Hong Sun +2
Frequency estimation of multiple sinusoids is significant in both theory and application. In some application scenarios, only sub-Nyquist samples are available to estimate the freq…
AutoADR: Automatic Model Design for Ad Relevance
Yiren Chen, Yaming Yang, Hong Sun +7
Large-scale pre-trained models have attracted extensive attention in the research community and shown promising results on various tasks of natural language processing. However, th…
Perspectives and solutions towards intelligent ambient assisted living systems
Hong Sun, Vincenzo De Florio
The population of the elderly people has kept increasing rapidly over the world in the past decades. Solutions that are able to effectively support the elderly people to live indep…
Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios
Ziqiang Li, Hong Sun, Pengfei Xia +4
Recent deep neural networks (DNNs) have came to rely on vast amounts of training data, providing an opportunity for malicious attackers to exploit and contaminate the data to carry…
Error estimate of the nonuniform type formula for the time fractional diffusion-wave equation
Hong Sun, Yanping Chen, Xuan Zhao
In this paper, a temporal nonuniform type difference scheme is built up for the time fractional diffusion-wave equation with the help of the order reduction technique. The unc…
Explore the Effect of Data Selection on Poison Efficiency in Backdoor Attacks
Ziqiang Li, Pengfei Xia, Hong Sun +3
As the number of parameters in Deep Neural Networks (DNNs) scales, the thirst for training data also increases. To save costs, it has become common for users and enterprises to del…
Preference is More Than Comparisons: Rethinking Dueling Bandits with Augmented Human Feedback
Shengbo Wang, Hong Sun, Ke Li
Interactive preference elicitation (IPE) aims to substantially reduce human effort while acquiring human preferences in wide personalization systems. Dueling bandit (DB) algorithms…
Promises and Challenges of Ambient Assisted Living Systems
Hong Sun, Vincenzo De Florio, Ning Gui +1
The population of elderly people keeps increasing rapidly, which becomes a predominant aspect of our societies. As such, solutions both efficacious and cost-effective need to be so…
Recognizing Cancer via Somatic and Organic Evolution
Xiang-Ping Jia, Hong Sun
The fitness of somatic cells of metazoan, the ability of proliferation and survival, depends on microenvironment. In somatic evolution, a mutated cell in a tissue clonally expands…
Reply to "Comment on `First-principles calculation of the superconducting transition in MgB2 within the anisotropic Eliashberg formalism'"
Hyoung Joon Choi, David Roundy, Hong Sun +2
The recent preprint by Mazin et al. [cond-mat/0212417] contains many inappropriate evaluations and/or criticisms on our published work [Phys. Rev. B 66, 020513 (2002) and Nature 41…
Unsupervised Atomic Data Mining via Multi-Kernel Graph Autoencoders for Machine Learning Force Fields
Hong Sun, Joshua A. Vita, Amit Samanta +1
Constructing a chemically diverse dataset while avoiding sampling bias is critical to training efficient and generalizable force fields. However, in computational chemistry and mat…
Novel models for fatigue life prediction under wideband random loads based on machine learning
Hong Sun, Yuanying Qiu, Jing Li +2
Machine learning as a data-driven solution has been widely applied in the field of fatigue lifetime prediction. In this paper, three models for wideband fatigue life prediction are…
An algorithm of frequency estimation for multi-channel coprime sampling
Shan Huang, Haijian Zhang, Hong Sun +1
In some applications of frequency estimation, it is challenging to sample at as high as the Nyquist rate due to hardware limitations. An effective solution is to use multiple sub-N…
Dielectric Behavior of Nonspherical Cell Suspensions
Jun Lei, Jones T. K. Wan, K. W. Yu +1
Recent experiments revealed that the dielectric dispersion spectrum of fission yeast cells in a suspension was mainly composed of two sub-dispersions. The low-frequency sub-dispers…
Mutualistic Relationships in Service-Oriented Communities and Fractal Social Organizations
Vincenzo De Florio, Hong Sun, Mohamed Bakhouya
In this paper we consider two social organizations -- service-oriented communities and fractal organizations -- and discuss how their main characteristics provide an answer to seve…
The Missing Ones: Key Ingredients Towards Effective Ambient Assisted Living Systems
Hong Sun, Vincenzo De Florio, Ning Gui +1
The population of elderly people keeps increasing rapidly, which becomes a predominant aspect of our societies. As such, solutions both efficacious and cost-effective need to be so…
Ab Initio Theory of Phonon Magnetic Moment Induced by Electron-Phonon Coupling in Magnetic Materials
Fuyi Wang, Xinqi Liu, Hong Sun +5
Circularly polarized phonons, characterized by nonzero angular momenta and magnetic moments, have attracted extensive attention. However, a long-standing critical issue in this fie…
Sar image despeckling based on nonlocal similarity sparse decomposition
Chengwei Sang, Hong Sun, Quisong Xia
This letter presents a method of synthetic aperture radar (SAR) image despeckling aimed to preserve the detail information while suppressing speckle noise. This method combines the…
First-Principles Calculation of the Superconducting Transition in MgB2 within the Anisotropic Eliashberg Formalism
Hyoung Joon Choi, David Roundy, Hong Sun +2
We present a study of the superconducting transition in MgB2 using the ab-initio pseudopotential density functional method and the fully anisotropic Eliashberg equation. Our study…
Semantic integration and analysis of clinical data
Hong Sun, Kristof Depraetere, Jos De Roo +3
There is a growing need to semantically process and integrate clinical data from different sources for Clinical Data Management and Clinical Decision Support in the healthcare IT i…
Ice phase classification made easy with score-based denoising
Hong Sun, Sebastien Hamel, Tim Hsu +3
Accurate identification of ice phases is essential for understanding various physicochemical phenomena. However, such classification for structures simulated with molecular dynamic…
Real is not True: Backdoor Attacks Against Deepfake Detection
Hong Sun, Ziqiang Li, Lei Liu +1
The proliferation of malicious deepfake applications has ignited substantial public apprehension, casting a shadow of doubt upon the integrity of digital media. Despite the develop…
Validation Rules for Assessing and Improving SKOS Mapping Quality
Hong Sun, Jos De Roo, Marc Twagirumukiza +4
The Simple Knowledge Organization System (SKOS) is popular for expressing controlled vocabularies, such as taxonomies, classifications, etc., for their use in Semantic Web applicat…
MCVI-SANet: A lightweight semi-supervised model for LAI and SPAD estimation of winter wheat under vegetation index saturation
Zhiheng Zhang, Jiajun Yang, Hong Sun +4
Vegetation index (VI) saturation during the dense canopy stage and limited ground-truth annotations of winter wheat constrain accurate estimation of LAI and SPAD. Existing VI-based…
Line Spectral Estimation Based on Compressed Sensing with Deterministic Sub-Nyquist Sampling
Shan Huang, Hong Sun, Haijian Zhang +1
As an alternative to the traditional sampling theory, compressed sensing allows acquiring much smaller amount of data, still estimating the spectra of frequency-sparse signals accu…
A framework for adaptive real-time applications: the declarative real-time OSGi component model
Ning Gui, Vincenzo De Florio, Hong Sun +1
Nowadays, more and more applications require OSGi to have some form of real-time support, which is currently very limited. The resulting closed-system solutions lack of a standard…
Error analysis of the implicit variable-step BDF2 method for the molecular beam epitaxial model with slope selection
Xuan Zhao, Haifeng Zhang, Hong Sun
We derive unconditionally stable and convergent variable-step BDF2 scheme for solving the MBE model with slope selection. The discrete orthogonal convolution kernels of the variabl…
Semantic processing of EHR data for clinical research
Hong Sun, Kristof Depraetere, Jos De Roo +4
There is a growing need to semantically process and integrate clinical data from different sources for clinical research. This paper presents an approach to integrate EHRs from het…
Beyond Label Semantics: Language-Guided Action Anatomy for Few-shot Action Recognition
Zefeng Qian, Xincheng Yao, Yifei Huang +3
Few-shot action recognition (FSAR) aims to classify human actions in videos with only a small number of labeled samples per category. The scarcity of training data has driven recen…
Angle-dependent magnetoresistance as a sensitive probe of the charge density wave in quasi-one-dimensional semimetal TaNiSe
Jiaming He, Libin Wen, Yueshen Wu +7
The behavior of charge density wave (CDW) in an external magnetic field is dictated by both orbital and Pauli (Zeeman) effects. A quasi-one-dimensional (Q1D) system features Q1D Fe…
A Proxy Attack-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks
Ziqiang Li, Hong Sun, Pengfei Xia +6
Poisoning efficiency is crucial in poisoning-based backdoor attacks, as attackers aim to minimize the number of poisoning samples while maximizing attack efficacy. Recent studies h…
Joint Frequency Estimation with Two Sub-Nyquist Sampling Sequences
Shan Huang, Hong Sun, Lei Yu +1
In many applications of frequency estimation, the frequencies of the signals are so high that the data sampled at Nyquist rate are hard to acquire due to hardware limitation. In th…
Measurements of differential and angle-integrated cross sections for the B()Li reaction in the neutron energy range from 1.0 eV to 2.5 MeV
Haoyu Jiang, Wei Jiang, Huaiyong Bai +85
Differential and angle-integrated cross sections for the B()Li, B()Li and B()Li reactions have been me…
Local-field distribution in resonant composites: Green's-function formalism
Ying Gu, K. W. Yu, Hong Sun
The effective response depends sensitively on composite microstructure due to large fluctuations in the local electric field. For metallic clusters embedded in a dielectric host, t…
Energy stability and convergence of variable-step L1 scheme for the time fractional Swift-Hohenberg model
Xuan Zhao, Ran Yang, Ren-jun Qi +1
A fully implicit numerical scheme is established for solving the time fractional Swift-Hohenberg (TFSH) equation with a Caputo time derivative of order . The variable-s…
Spectral Representation Theory for Dielectric Behavior of Nonspherical Cell Suspensions
J. P. Huang, K. W. Yu, Jun Lei +1
Recent experiments revealed that the dielectric dispersion spectrum of fission yeast cells in a suspension was mainly composed of two sub-dispersions. The low-frequency sub-dispers…
CoRe: A Continuously Reward-Finetuned LLM Query Rewriter for Multi-Stage Context-Aware Relevance in Web-Scale Video Search
Yilin Wen, Rong Yang, Xiaojia Chang +11
LLM-based query rewriters in production face a tension: the training reward must reflect how the rewrite is consumed by the production ranker, yet the training procedure must be ch…
Predicting future state for adaptive clinical pathway management
Hong Sun, Dörthe Arndt, Jos De Roo +1
Clinical decision support systems are assisting physicians in providing care to patients. However, in the context of clinical pathway management such systems are rather limited as…
Mixed Noise Removal with Pareto Prior
Zhou Liu, Lei Yu, Gui-Song Xia +1
Denoising images contaminated by the mixture of additive white Gaussian noise (AWGN) and impulse noise (IN) is an essential but challenging problem. The presence of impulsive distu…
Asymptotically compatible energy and dissipation law of the nonuniform L2- scheme for time fractional Allen-Cahn model
Hong-lin Liao, Xiaohan Zhu, Hong Sun
We build an asymptotically compatible energy of the variable-step L2- scheme for the time-fractional Allen-Cahn model with the Caputo's fractional derivative of order $α\in(…
Energy stable and norm convergent BDF3 scheme for the Swift-Hohenberg equation
Xuan Zhao, Ran Yang, Zhongqin Xue +1
A fully discrete implicit scheme is proposed for the Swift-Hohenberg model, combining the third-order backward differentiation formula (BDF3) for the time discretization and the se…
Bayesian Nowcasting Data Breach IBNR Incidents
Maochao Xu, Hong Sun, Peng Zhao
The reporting delay in data breach incidents poses a formidable challenge for Incurred But Not Reported (IBNR) studies, complicating reserve estimation for actuarial professionals.…