Publications (180)
Matrix method for perturbed black hole metric with discontinuity
Shui-Fa Shen, Wei-Liang Qian, Kai Lin +2
Recent studies based on the notion of black hole pseudospectrum indicated substantial instability of the fundamental and high-overtone quasinormal modes. Besides its theoretical no…
Quantum-Inspired Solvers on Mixed-Integer Linear Programming Problem
Hao Wang, Yu Pan, Wei Cui
Mixed-integer linear programming (MILP) plays a crucial role in artificial intelligence, biochemistry, finance, cryptography, etc. Notwithstanding popular for decades, the research…
PostLie algebra structures on the Lie algebra sl(2,C)
Yu Pan, Qing Liu, Chengming Bai +1
The PostLie algebra is an enriched structure of the Lie algebra that has recently arisen from operadic study. It is closely related to pre-Lie algebra, Rota-Baxter algebra, dendrif…
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition
Yu Pan, Jing Xu, Maolin Wang +4
Recurrent Neural Networks (RNNs) and their variants, such as Long-Short Term Memory (LSTM) networks, and Gated Recurrent Unit (GRU) networks, have achieved promising performance in…
Matrix method and the suppression of Runge's phenomenon
Shui-Fa Shen, Wei-Liang Qian, Jie Zhang +3
Higher-degree polynomial interpolations carried out on uniformly distributed nodes are often plagued by {\it overfitting}, known as Runge's phenomenon. This work investigates Runge…
Assessing Deep Neural Networks as Probability Estimators
Yu Pan, Kwo-Sen Kuo, Michael L. Rilee +1
Deep Neural Networks (DNNs) have performed admirably in classification tasks. However, the characterization of their classification uncertainties, required for certain applications…
Using simulated Tianqin gravitational wave data and electromagnetic wave data to study the coincidence problem and Hubble tension problem
JiaWei Zhang, Jingwang Diao, Yu Pan +2
In this paper, we use electromagnetic wave data (H0LiCOW, , SNe) and gravitational wave data (Tianqin) to constrain the interacting dark energy (IDE) model and investigate th…
Constraints on cosmological models from strong gravitational lensing systems
Shuo Cao, Yu Pan, Marek Biesiada +2
Strong lensing has developed into an important astrophysical tool for probing both cosmology and galaxies (their structure, formation, and evolution). Using the gravitational lensi…
BadBlocks: Low-Cost and Stealthy Backdoor Attacks Tailored for Text-to-Image Diffusion Models
Jia Wu, Yu Pan, Junjun Yang +1
Despite the remarkable progress of diffusion models in image generation, recent studies reveal their vulnerability to backdoor attacks via covert visual or textual triggers. Althou…
Analysis of BOLD fMRI Signal Preprocessing Pipeline on Different Datasets while Reducing False Positive Rates
Yunxiang Ge, Yu Pan, Weibei Dou
The technology of functional Magnetic Resonance Imaging (fMRI) based on Blood Oxygen Level Dependent (BOLD) signal has been widely used in clinical treatments and brain function re…
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Maolin Wang, Yu Pan, Zenglin Xu +4
Tensor networks (TNs) and neural networks (NNs) are two fundamental data modeling approaches. TNs were introduced to solve the curse of dimensionality in large-scale tensors by con…
Takin: A Cohort of Superior Quality Zero-shot Speech Generation Models
Sijing Chen, Yuan Feng, Laipeng He +22
With the advent of the big data and large language model era, zero-shot personalized rapid customization has emerged as a significant trend. In this report, we introduce Takin Audi…
Non-Markovian entanglement dynamics between two coupled qubits in the same environment
Wei Cui, Zairong Xi, Yu Pan
We analyze the dynamics of the entanglement in two independent non-Markovian channels. In particular, we focus on the entanglement dynamics as a function of the initial states and…
ShapE-GRPO: Shapley-Enhanced Reward Allocation for Multi-Candidate LLM Training
Rui Ai, Yu Pan, David Simchi-Levi +1
In user-agent interaction scenarios such as recommendation, brainstorming, and code suggestion, Large Language Models (LLMs) often generate sets of candidate recommendations where…
Analysis and Control of Quantum Finite-level Systems Driven by Single-photon Input States
Yu Pan, Guofeng Zhang, Matthew R. James
Single-photon states, which carry quantum information and coherently interact with quantum systems, are vital to the realization of all-optical engineered quantum networks. In this…
GGAvatar: Geometric Adjustment of Gaussian Head Avatar
Xinyang Li, Jiaxin Wang, Yixin Xuan +2
We propose GGAvatar, a novel 3D avatar representation designed to robustly model dynamic head avatars with complex identities and deformations. GGAvatar employs a coarse-to-fine st…
A Vectorization Method Induced By Maximal Margin Classification For Persistent Diagrams
An Wu, Yu Pan, Fuqi Zhou +2
Persistent homology is an effective method for extracting topological information, represented as persistent diagrams, of spatial structure data. Hence it is well-suited for the st…
Nektar++: Design and implementation of an implicit, spectral/ element, compressible flow solver using a Jacobian-free Newton Krylov approach
Zhen-Guo Yan, Yu Pan, Giacomo Castiglioni +4
At high Reynolds numbers, the use of explicit in time compressible flow simulations with spectral/ element discretization can become significantly limited by time step. To alle…
Learning Shortest Paths When Data is Scarce
Dmytro Matsypura, Yu Pan, Hanzhao Wang
Digital twins and other simulators are increasingly used to support routing decisions in large-scale networks. However, simulator outputs often exhibit systematic bias, while groun…
Optimal control of non-Markovian open quantum systems via feedback
Zairong Xi, Wei Cui, Yu Pan
The problem of optimal control of non-Markovian open quantum system via weak measurement is presented. Based on the non-Markovian master equation, we evaluate exactly the non-Marko…
Quantum Discrete Adiabatic Linear Solver based on Block Encoding and Eigenvalue Separator
Guojian Wu, Fang Gao, Qing Gao +1
Linear system solvers are widely used in scientific computing, with the primary goal of solving linear system problems. Classical iterative algorithms typically rely on the conjuga…
MUSA: Multi-lingual Speaker Anonymization via Serial Disentanglement
Jixun Yao, Qing Wang, Pengcheng Guo +4
Speaker anonymization is an effective privacy protection solution designed to conceal the speaker's identity while preserving the linguistic content and para-linguistic information…
PSCodec: A Series of High-Fidelity Low-bitrate Neural Speech Codecs Leveraging Prompt Encoders
Yu Pan, Xiang Zhang, Yuguang Yang +6
Neural speech codecs have recently emerged as a focal point in the fields of speech compression and generation. Despite this progress, achieving high-quality speech reconstruction…
Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance
Dun Zeng, Zenglin Xu, Yu Pan +3
Federated Learning (FL) is a distributed learning paradigm to train a global model across multiple devices without collecting local data. In FL, a server typically selects a subset…
MSAC: Multiple Speech Attribute Control Method for Reliable Speech Emotion Recognition
Yu Pan, Yuguang Yang, Yuheng Huang +6
Despite notable progress, speech emotion recognition (SER) remains challenging due to the intricate and ambiguous nature of speech emotion, particularly in wild world. While curren…
DPGAN: A Dual-Path Generative Adversarial Network for Missing Data Imputation in Graphs
Xindi Zheng, Yuwei Wu, Yu Pan +3
Missing data imputation poses a paramount challenge when dealing with graph data. Prior works typically are based on feature propagation or graph autoencoders to address this issue…
Testing the interaction model with cosmological data and gamma-ray bursts
Yu Pan, Shuo Cao, Yungui Gong +2
We use the new gamma-ray bursts (GRBs) data, combined with the baryon acoustic oscillation(BAO) observation from the spectroscopic Sloan Digital Sky Survey (SDSS) data release, the…
SFCoT: Safer Chain-of-Thought via Active Safety Evaluation and Calibration
Yu Pan, Wenlong Yu, Tiejun Wu +4
Large language models (LLMs) have demonstrated remarkable capabilities in complex reasoning tasks. However, they remain highly susceptible to jailbreak attacks that undermine their…
High precision measurement of cosmic curvature: from gravitational waves and cosmic chronometer
Yuan He, Yu Pan, Dongping Shi +3
Although the spatial curvature has been measured with very high precision, it still suffers from the well known cosmic curvature tension. In this paper, we propose an improved meth…
Learning and Interpreting Gravitational-Wave Features from CNNs with a Random Forest Approach
Jun Tian, He Wang, Jibo He +3
Convolutional neural networks (CNNs) have become widely adopted in gravitational wave (GW) detection pipelines due to their ability to automatically learn hierarchical features fro…
On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond
Dun Zeng, Zenglin Xu, Shiyu Liu +3
Federated averaging (FedAvg) is the most fundamental algorithm in Federated learning (FL). Previous theoretical results assert that FedAvg convergence and generalization degenerate…
An AI-Driven Multimodal Smart Home Platform for Continuous Monitoring and Assistance in Post-Stroke Motor Impairment
Chenyu Tang, Ruizhi Zhang, Shuo Gao +21
At-home rehabilitation for post-stroke patients presents significant challenges, as continuous, personalized care is often limited outside clinical settings. Moreover, the lack of…
The augmentation category map induced by exact Lagrangian cobordisms
Yu Pan
To a Legendrian knot, one can associate an category, the augmentation category. An exact Lagrangian cobordism between two Legendrian knots gives a functor of…
TedNet: A Pytorch Toolkit for Tensor Decomposition Networks
Yu Pan, Maolin Wang, Zenglin Xu
Tensor Decomposition Networks (TDNs) prevail for their inherent compact architectures. To give more researchers a flexible way to exploit TDNs, we present a Pytorch toolkit named T…
Exact Lagrangian Fillings of Legendrian torus links
Yu Pan
For a Legendrian torus knot or link with maximal Thurston-Bennequin number, Ekholm, Honda, and Kálmán constructed exact Lagrangian fillings, where is the -…
The FAST Globular Cluster Pulsar Survey (GC FANS)
Yujie Lian, Zhichen Pan, Haiyan Zhang +24
By January 2025, 60 pulsars were discovered by the Five-hundred-meter Aperture Spherical radio Telescope globular cluster (GC) pulsar survey (GC FANS), with spin periods spanning 1…
Helicity dependent photocurrent in electrically gated (Bi,Sb)_2Te_3 thin films
Yu Pan, Qing-Ze Wang, Andrew L. Yeats +7
Circularly polarized photons are known to generate a directional helicity-dependent photocurrent in three-dimensional topological insulators at room temperature. Surprisingly, the…
Preparing Lessons for Progressive Training on Language Models
Yu Pan, Ye Yuan, Yichun Yin +6
The rapid progress of Transformers in artificial intelligence has come at the cost of increased resource consumption and greenhouse gas emissions due to growing model sizes. Prior…
Cosmic opacity: cosmological-model-independent tests from gravitational waves and Type Ia Supernova
Jing-Zhao Qi, Shuo Cao, Yu Pan +1
In this paper, we present a scheme to investigate the opacity of the Universe in a cosmological-model-independent way, with the combination of current and future available data in…
Automatic Depth Optimization for Quantum Approximate Optimization Algorithm
Yu Pan, Yifan Tong, Yi Yang
Quantum Approximate Optimization Algorithm (QAOA) is a hybrid algorithm whose control parameters are classically optimized. In addition to the variational parameters, the right cho…
Exact Analysis of the Response of Quantum Systems to Two Photons Using a QSDE Approach
Yu Pan, Daoyi Dong, Guofeng Zhang
We introduce the quantum stochastic differential equation (QSDE) approach to exactly analyze of the response of quantum systems to a continuous-mode two-photon input. The QSDE desc…
Gungnir: Exploiting Stylistic Features in Images for Backdoor Attacks on Diffusion Models
Lei Zhang, Yu Pan, Bingrong Dai +1
Diffusion Models (DMs) have achieved remarkable success in image generation, yet recent studies reveal their vulnerability to backdoor attacks, where adversaries manipulate outputs…
New Constraints on Lorentz Invariance Violation at High Redshifts from Multiband of GRBs
Mingyue Chen, Jun Tian, Yu Pan +2
In the gravity quantum theory, the quantization of spacetime may lead to the modification of the dispersion relation between the energy and the momentum and the Lorentz invariance…
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks
Yu Pan, Zeyong Su, Ao Liu +3
Tensorial Convolutional Neural Networks (TCNNs) have attracted much research attention for their power in reducing model parameters or enhancing the generalization ability. However…
Large topological Hall effect in an easy-cone ferromagnet (Cr0.9B0.1)Te
Yangkun He, Johannes Kroder, Jacob Gayles +5
The Berry phase understanding of electronic properties has attracted special interest in condensed matter physics, leading to phenomena such as the anomalous Hall effect and the to…
nuScenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H. Lang +7
Robust detection and tracking of objects is crucial for the deployment of autonomous vehicle technology. Image based benchmark datasets have driven development in computer vision t…
Testing f(R) gravity with the simulated data of gravitational waves from the Einstein Telescope
Yu Pan, Yuan He, JingZhao Qi +4
In this paper we analyze the implications of gravitational waves (GWs) as standard sirens on the modified gravity models by using the third-generation gravitational wave detector,…
Contact processes with random recovery rates and edge weights on complete graphs
Xiaofeng Xue, Yu Pan
In this paper we are concerned with the contact process with random recovery rates and edge weights on complete graph with vertices. We show that the model has a critical value…
What Matters in Data for DPO?
Yu Pan, Zhongze Cai, Guanting Chen +2
Direct Preference Optimization (DPO) has emerged as a simple and effective approach for aligning large language models (LLMs) with human preferences, bypassing the need for a learn…
On the Convergence of Federated Averaging under Partial Participation for Over-parameterized Neural Networks
Xin Liu, Wei li, Dazhi Zhan +4
Federated learning (FL) is a widely employed distributed paradigm for collaboratively training machine learning models from multiple clients without sharing local data. In practice…
Functorial LCH for immersed Lagrangian cobordisms
Yu Pan, Dan Rutherford
For -dimensional Legendrian submanifolds of -jet spaces, we extend the functorality of the Legendrian contact homology DG-algebra (DGA) from embedded exact Lagrangian cobordi…
Direct test of the FLRW metric from strongly lensed gravitational wave observations
Shuo Cao, Jingzhao Qi, Zhoujian Cao +4
The assumptions of large-scale homogeneity and isotropy underly the familiar Friedmann-Lema\^ıtre-Robertson-Walker (FLRW) metric that appears to be an accurate description of our…
Efficient Depth Selection for the Implementation of Noisy Quantum Approximate Optimization Algorithm
Yu Pan, Yifan Tong, Shibei Xue +1
Noise on near-term quantum devices will inevitably limit the performance of Quantum Approximate Optimization Algorithm (QAOA). One significant consequence is that the performance o…
GMP-TL: Gender-augmented Multi-scale Pseudo-label Enhanced Transfer Learning for Speech Emotion Recognition
Yu Pan, Yuguang Yang, Heng Lu +2
The continuous evolution of pre-trained speech models has greatly advanced Speech Emotion Recognition (SER). However, current research typically relies on utterance-level emotion l…
Constructions of Lagrangian cobordisms
Sarah Blackwell, Noémie Legout, Caitlin Leverson +6
Lagrangian cobordisms between Legendrian knots arise in Symplectic Field Theory and impose an interesting and not well-understood relation on Legendrian knots. There are some known…
Thermodynamic properties of higher-dimensional dS black holes in dRGT massive gravity
Yubo Ma, Yang Zhang, Lichun Zhang +3
On the basis of the state parameter of de Sitter space-time satisfying the first law of thermodynamics,we can derive some effective thermodynamic quantities.When the temperature of…
Model-independent constraints on Lorentz invariance violation: implication from updated Gamma-ray burst observations
Yu Pan, Jingzhao Qi, Shuo Cao +5
Astrophysical observations provide a unique opportunity to test possible signatures of Lorentz Invariance Violation (LIV), due to the high energies and long distances involved. In…
Reward Modeling with Ordinal Feedback: Wisdom of the Crowd
Shang Liu, Yu Pan, Guanting Chen +1
Learning a reward model (RM) from human preferences has been an important component in aligning large language models (LLMs). The canonical setup of learning RMs from pairwise pref…
Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach
Linyu Liu, Yu Pan, Xiaocheng Li +1
In this paper, we study the problem of uncertainty estimation and calibration for LLMs. We begin by formulating the uncertainty estimation problem, a relevant yet underexplored are…
Parallel Ising Annealer via Gradient-based Hamiltonian Monte Carlo
Hao Wang, Zixuan Liu, Zhixin Xie +4
Ising annealer is a promising quantum-inspired computing architecture for combinatorial optimization problems. In this paper, we introduce an Ising annealer based on the Hamiltonia…
Comparison of Effective Dissipation Channels in Warm Higgs Inflation from Warm Background Evolution
Wei Cheng, Xin Peng, Jia-wei Zhang +2
Within the framework of warm Higgs inflation, a systematic comparison is carried out among seven effective dissipation channels (EDC) constructed from combinations of the three bas…
Fully and partially distributed Quantum Generalized Benders Decomposition for Unit Commitment Problems
Fang Gao, Dejian Huang, Ziwei Zhao +4
A series of hybrid quantum-classical generalized Benders decomposition (GBD) algorithms are proposed to address unit commitment (UC) problems under centralized, distributed, and pa…
The entanglement dynamics of the bipartite quantum system: toward entanglement sudden death
Wei Cui, Zairong Xi, Yu Pan
We investigate the entanglement dynamics of bipartite quantum system between two qubits with the dissipative environment. We begin with the standard Markovian master equation in th…
Simultaneous Multiband Photometry of the Early Optical Afterglow of GRB 240825A with Mephisto
Yehao Cheng, Yu Pan, Yuan-Pei Yang +19
Gamma-ray bursts (GRBs) are the most luminous transients in the universe. The interaction of the relativistic jet with the circumburst medium produces an afterglow and generates mu…
Optimized Dynamical Decoupling Sequences in Protecting Two-Qubit States
Yu Pan, Zai-Rong Xi, Jiangbin Gong
Aperiodic dynamical decoupling (DD) sequences of pulses are of great interest to decoherence control and have been recently extended from single-qubit to two-qubit systems. If…
Implications of the lens redshift distribution of strong lensing systems: cosmological parameters and the global properties of early-type galaxies
Yu-Bo Ma, Shuo Cao, Jia Zhang +4
In this paper, we assemble a well-defined sample of early-type gravitational lenses extracted from a large collection of 158 systems, and use the redshift distribution of galactic-…
Cumulative Distribution Function based General Temporal Point Processes
Maolin Wang, Yu Pan, Zenglin Xu +6
Temporal Point Processes (TPPs) hold a pivotal role in modeling event sequences across diverse domains, including social networking and e-commerce, and have significantly contribut…
Fast query-by-example speech search using separable model
Yuguang Yang, Yu Pan, Xin Dong +1
Traditional Query-by-Example (QbE) speech search approaches usually use methods based on frame-level features, while state-of-the-art approaches tend to use models based on acousti…
Dark Modes of Quantum Linear Systems
Yu Pan, Daoyi Dong, Ian R. Petersen
In this paper, we develop a direct method for the characterization of dark modes. The results can be used to construct a transformation that separates dark and bright modes, throug…
Non-Markovian entanglement dynamics in coupled superconducting qubit systems
Wei Cui, Zairong Xi, Yu Pan
We theoretically analyze the entanglement generation and dynamics by coupled Josephson junction qubits. Considering a current-biased Josephson junction (CBJJ), we generate maximall…
Perpendicular Magnetization and Generic Realization of the Ising Model in Artificial Spin Ice
Sheng Zhang, Jie Li, Ian Gilbert +11
We have studied frustrated kagome arrays and unfrustrated honeycomb arrays of magnetostatically-interacting single-domain ferromagnetic islands with magnetization normal to the pla…
Wearable-informed generative digital avatars predict task-conditioned post-stroke locomotion
Yanning Dai, Chenyu Tang, Ruizhi Zhang +16
Dynamic prediction of locomotor capacity after stroke could enable more individualized rehabilitation, yet current assessments largely provide static impairment scores and do not i…
Adaptive controllable architecture of analog Ising machine
Langyu Li, Ruoyu Wu, Yong Wang +4
As a quantum-inspired, non-traditional analog solver architecture, the analog Ising machine (AIM) has emerged as a distinctive computational paradigm to address the rapidly growing…
Deep Domain Adversarial Adaptation for Photon-efficient Imaging
Yiwei Chen, Gongxin Yao, Yong Liu +3
Photon-efficient imaging with the single-photon light detection and ranging (LiDAR) captures the three-dimensional (3D) structure of a scene by only a few detected signal photons p…
Constraints on Lorentz Invariance Violation with gamma-ray bursts via a Markov Chain Monte Carlo approach
Yu Pan, Yungui Gong, Shuo Cao +2
In quantum theory of gravity, we expect the Lorentz Invariance Violation (LIV) and the modification of the dispersion relation between energy and momentum for photons. The effect o…
Dirac states with knobs on: interplay of external parameters and the surface electronic properties of 3D topological insulators
Emmanouil Frantzeskakis, Nick de Jong, Berend Zwartsenberg +19
Topological insulators are a novel materials platform with high applications potential in fields ranging from spintronics to quantum computation. In the ongoing scientific effort t…
Meta-learning assisted robust control of universal quantum gates with uncertainties
Shihui Zhang, Zibo Miao, Yu Pan +2
Achieving high-fidelity quantum gates is crucial for reliable quantum computing. However, decoherence and control pulse imperfections pose significant challenges in realizing the t…
On the dynamics of two photons interacting with a two-qubit coherent feedback network}
Guofeng Zhang, Yu Pan
The purpose of this paper is to study the dynamics of a quantum coherent feedback network composed of two two-level systems (qubits) driven by two counter-propagating photons, one…
From Flat Language Labels to Typological Priors: Structured Language Conditioning for Multilingual Speech-to-Speech Translation
Yu Pan, Yang Hou, Xiongfei Wu +4
Compositional speech-to-speech translation (S2ST) systems built upon speech large language models (SpeechLLMs) have recently shown promising performance. However, existing S2ST sys…
Transforming Agriculture with Intelligent Data Management and Insights
Yu Pan, Jianxin Sun, Hongfeng Yu +4
Modern agriculture faces grand challenges to meet increased demands for food, fuel, feed, and fiber with population growth under the constraints of climate change and dwindling nat…
Interpolation Approach to Hamiltonian-varying Quantum Systems and the Adiabatic Theorem
Yu Pan, Zibo Miao, Nina H. Amini +2
Quantum control could be implemented by varying the system Hamiltonian. According to adiabatic theorem, a slowly changing Hamiltonian can approximately keep the system at the groun…
Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs
Yehui Tang, Yichun Yin, Yaoyuan Wang +71
Sparse large language models (LLMs) with Mixture of Experts (MoE) and close to a trillion parameters are dominating the realm of most capable language models. However, the massive…
Cosmological Model Independent Constraints on Lorentz Invariance Violation with Updated Gamma-Ray Burst Observations: An Artificial Neural Network Approach
Jun Tian, Yu Pan, Shuo Cao +2
Searching for Lorentz invariance violation (LIV) using astrophysical sources such as gamma-ray bursts (GRBs) is crucial for probing quantum gravity. However, the dependence of LIV…
FAST Observation and Results for Core Collapse Globular Cluster M15 and NGC 6517
Yuxiao Wu, Dejiang Yin, Yu Pan +9
Radio astronomy is part of radio science that developed rapidly in recent decades. In the research of radio astronomy, pulsars have always been an enduring popular research target.…
Quantum Approximate Optimization Algorithm in Non-Markovian Quantum Systems
Bo Yue, Shibei Xue, Yu Pan +1
Although quantum approximate optimization algorithm (QAOA) has demonstrated its quantum supremacy, its performance on Noisy Intermediate-Scale Quantum (NISQ) devices would be influ…
New highly-anisotropic Rh-based Heusler compound for magnetic recording
Yangkun He, Gerhard H. Fecher, Chenguang Fu +18
The development of high-density magnetic recording media is limited by the superparamagnetism in very small ferromagnetic crystals. Hard magnetic materials with strong perpendicula…
Magnetic-Free Quantum Interference and Universal Josephson Diode Effect Driven by a Supercurrent Gauge Field
Haowei Ye, Wenxue He, Kaixuan Fan +8
The Josephson effect, a hallmark of superconducting phase coherence, drives modern quantum technologies. However, Josephson-based quantum interference has hitherto been tethered to…
Structured and sparse partial least squares coherence for multivariate cortico-muscular analysis
Jingyao Sun, Qilu Zhang, Di Ma +9
Multivariate cortico-muscular analysis has recently emerged as a promising approach for evaluating the corticospinal neural pathway. However, current multivariate approaches encoun…
On the generalization of linear least mean squares estimation to quantum systems with non-commutative outputs
Nina H. Amini, Zibo Miao, Yu Pan +2
The purpose of this paper is to study the problem of generalizing the Belavkin-Kalman filter to the case where the classical measurement signal is replaced by a fully quantum non-c…
Investigating Interacting Dark Energy Models Using Fast Radio Burst Observations
Hang Yan, Yu Pan, Jia-Xin Wang +2
This paper investigates the utility of Fast Radio Bursts (FRBs) as novel observational probes to constrain models of interacting dark energy (IDE). By leveraging FRB dispersion mea…
QiNN-QJ: A Quantum-inspired Neural Network with Quantum Jump for Multimodal Sentiment Analysis
Yiwei Chen, Kehuan Yan, Yu Pan +1
Quantum theory provides non-classical principles, such as superposition and entanglement, that inspires promising paradigms in machine learning. However, most existing quantum-insp…
Optimal Decoherence Control in non-Markovian Open, Dissipative Quantum Systems
Wei Cui, Zairong Xi, Yu Pan
We investigate the optimal control problem for non-Markovian open, dissipative quantum system. Optimal control using Pontryagin maximum principle is specifically derived. The influ…
Tensorized Hypergraph Neural Networks
Maolin Wang, Yaoming Zhen, Yu Pan +5
Hypergraph neural networks (HGNN) have recently become attractive and received significant attention due to their excellent performance in various domains. However, most existing H…
The contact process on the regular tree with random vertex weights
Yu Pan, Dayue Chen, Xiaofeng Xue
This paper is concerned with contact process with random vertex weights on regular trees, and study the asymptotic behavior of the critical infection rate as the degree of the tree…
SN 2024aecx: A double-peaked rapidly evolving Type IIb supernova at 11 Mpc
Xingzhu Zou, Brajesh Kumar, Rishabh Singh Teja +28
We present the results of low-resolution spectroscopic and densely sampled multi-band photometric follow-up of supernova (SN) 2024aecx. The SN was discovered in the spiral galaxy N…
A new way to test the WIMP dark matter models
Wei Cheng, Yuan He, Jin-Wang Diao +3
In this paper, we investigate the possibility of testing the weakly interacting massive particle (WIMP) dark matter (DM) models by applying the simplest phenomenological model whic…
RegNet: Self-Regulated Network for Image Classification
Jing Xu, Yu Pan, Xinglin Pan +3
The ResNet and its variants have achieved remarkable successes in various computer vision tasks. Despite its success in making gradient flow through building blocks, the simple sho…
Optimal Dynamical Decoupling Sequence for Ohmic Spectrum
Yu Pan, Zairong Xi, Wei Cui
We investigate the optimal dynamical decoupling sequence for a qubit coupled to an ohmic environment. By analytically computing the derivatives of the decoherence function, the opt…
LMEC: Learnable Multiplicative Absolute Position Embedding Based Conformer for Speech Recognition
Yuguang Yang, Yu Pan, Jingjing Yin +1
This paper proposes a Learnable Multiplicative absolute position Embedding based Conformer (LMEC). It contains a kernelized linear attention (LA) module called LMLA to solve the ti…
Ground-state Stabilization of Open Quantum Systems by Dissipation
Yu Pan, Valery Ugrinovskii, Matthew R. James
Control by dissipation, or environment engineering, constitutes an important methodology within quantum coherent control which was proposed to improve the robustness and scalabilit…