Publications (170)
A Two-Dimensional CA Traffic Model with Dynamic Route Choices Between Residence and Workplace
Jun Fang, Jing Shi, Xi-Qun Chen +1
The Biham, Middleton and Levine (BML) model is extended to describe dynamic route choices between the residence and workplace in cities. The traffic dynamic in the city with a sing…
CFAR based NOMP for Line Spectral Estimation and Detection
Menghuai Xu, Jiang Zhu, Jun Fang +2
The line spectrum estimation problem is considered in this paper. We propose a CFAR-based Newtonized OMP (NOMP-CFAR) method which can maintain a desired false alarm rate without th…
On the Nonthermal Emission from the Supernova Remnant W51C
Jun Fang, Li Zhang
The middle-aged supernova remnant (SNR) W51C is an interesting source for the interaction of the shell with a molecular cloud. The shell emits intense radio synchrotron photons, an…
Unlocking the Potential of Movable Antennas: General and Practical Antenna Position Optimization
Weidong Mei, Changhao Liu, Dong Wang +6
Recently, movable antenna (MA) has attracted wide attention in wireless communications due to its potential in enhancing wireless communication performance via local movement withi…
Quantization Design and Channel Estimation for Massive MIMO Systems with One-Bit ADCs
Feiyu Wang, Jun Fang, Hongbin Li +1
We consider the problem of channel estimation for uplink multiuser massive MIMO systems, where, in order to significantly reduce the hardware cost and power consumption, one-bit an…
An Iterative Reweighted Method for Tucker Decomposition of Incomplete Multiway Tensors
Linxiao Yang, Jun Fang, Hongbin Li +1
We consider the problem of low-rank decomposition of incomplete multiway tensors. Since many real-world data lie on an intrinsically low dimensional subspace, tensor low-rank decom…
NOVA: Coordinated Test Selection and Bayes-Optimized Constrained Randomization for Accelerated Coverage Closure
Weijie Peng, Nanbing Li, Jin Luo +5
Functional verification relies on large simulation-based regressions. Traditional test selection relies on static test features and overlooks actual coverage behavior, wasting subs…
Beamforming Optimization for Intelligent Reflecting Surface Assisted MIMO: A Sum-Path-Gain Maximization Approach
Boyu Ning, Zhi Chen, Wenjie Chen +1
Recently, intelligent reflecting surface (IRS) has emerged as an appealing technique that enables wireless communications with low hardware cost and low power consumption. In this…
Kaiser-Bessel Basis for the Particle-Mesh Interpolation
Xingyu Gao, Jun Fang, Han Wang
In this work, we introduce the Kaiser-Bessel interpolation basis for the particle-mesh interpolation in the fast Ewald method. A reliable a priori error estimate is developed to me…
Kinetic Simulations of Particle Acceleration in Relativistic Perpendicular Electron-positron Shocks with Proton Admixture
Huan Yu, Qi Xia, Jun Fang
Particle acceleration in relativistic shocks of electron-positron plasmas with proton admixture is investigated through two-dimensional (2D) particle-in-cell (PIC) simulations. The…
One-Bit Quantization Design and Adaptive Methods for Compressed Sensing
Jun Fang, Yanning Shen, Hongbin Li
There have been a number of studies on sparse signal recovery from one-bit quantized measurements. Nevertheless, little attention has been paid to the choice of the quantization th…
Prior Support Knowledge-Aided Sparse Bayesian Learning with Partly Erroneous Support Information
Jun Fang, Yanning Shen, Fuwei Li +1
It has been shown both experimentally and theoretically that sparse signal recovery can be significantly improved given that part of the signal's support is known \emph{a priori}.…
SARA: A Dual-Stream VAE for High-Fidelity Speech Generation via Integrating Semantic and Acoustic Representations
Peijie Chen, Wenhao Guan, Weijie Wu +7
Zero-shot text-to-speech (TTS) relies on robust speech representations. However, current speech tokenizers face a fundamental trade-off: acoustic codecs preserve high-fidelity audi…
An In-depth Study of Stochastic Backpropagation
Jun Fang, Mingze Xu, Hao Chen +3
In this paper, we provide an in-depth study of Stochastic Backpropagation (SBP) when training deep neural networks for standard image classification and object detection tasks. Dur…
Joint Beamforming for Intelligent Reflecting Surface-Assisted Millimeter Wave Communications
Peilan Wang, Jun Fang, Hongbin Li
Millimeter wave (mmWave) communications are evolving as a promising technology to meet the ever increasing data rate requirements. However, high directivity and severe path loss ma…
Intelligent Power Control for Spectrum Sharing in Cognitive Radios: A Deep Reinforcement Learning Approach
Xingjian Li, Jun Fang, Wen Cheng +3
We consider the problem of spectrum sharing in a cognitive radio system consisting of a primary user and a secondary user. The primary user and the secondary user work in a non-coo…
An Efficient Bayesian PAPR Reduction Method for OFDM-Based Massive MIMO Systems
Hengyao Bao, Jun Fang, Zhi Chen +2
We consider the problem of peak-to-average power ratio (PAPR) reduction in orthogonal frequency-division multiplexing (OFDM) based massive multiple-input multiple-output (MIMO) dow…
Likely detection of GeV γ-ray emission from pulsar wind nebula G32.64+0.53 with Fermi-LAT
Yifan Xiao, Keyao Wu, Jun Fang
In this study, we report the likely GeV γ-ray emissions originating from the pulsar PSR J1849-0001's pulsar wind nebula (PWN) G32.64+0.53. Our analysis covers approximately 14.7 y…
Nonthermal Acceleration of Electrons, Positrons and Protons at a Nonrelativistic Quasiparallel Collisionless Shock
Huan Yu, Qi Xia, Jun Fang
Energetic positrons have been observed in the interstellar medium, and high-energy positrons with relativistic energies up to approximately 1 TeV have been detected in Galactic cos…
Channel Estimation for RIS-aided mmWave Massive MIMO System Using Few-bit ADCs
Ruizhe Wang, Hong Ren, Cunhua Pan +3
Millimeter wave (mmWave) massive multiple-input multiple-output (massive MIMO) is one of the most promising technologies for the fifth generation and beyond wireless communication…
Sampling the isothermal-isobaric ensemble by Langevin dynamics
Xingyu Gao, Jun Fang, Han Wang
We present a new method of conducting molecular dynamics simulation in isothermal-isobaric ensemble based on Langevin equations of motion. The stochastic coupling to all particle a…
Early acceleration of electrons and protons at the nonrelativistic quasiparallel shocks with different obliquity angles
Jun Fang, Chun-Yan Lu, Jing-Wen Yan +1
The early acceleration of protons and electrons in the nonrelativistic collisionless shocks with three obliquities are investigated through 1D particle-in-cell simulations. In the…
Movable Antennas Meet Intelligent Reflecting Surface: Friends or Foes?
Xin Wei, Weidong Mei, Qingqing Wu +4
Movable antenna (MA) and intelligent reflecting surface (IRS) are considered promising technologies for the next-generation wireless communication systems due to their shared chann…
Super-Resolution Compressed Sensing: An Iterative Reweighted Algorithm for Joint Parameter Learning and Sparse Signal Recovery
Jun Fang, Jing Li, Yanning Shen +2
In many practical applications such as direction-of-arrival (DOA) estimation and line spectral estimation, the sparsifying dictionary is usually characterized by a set of unknown p…
Line Spectrum Estimation and Detection with Few-bit ADCs: Theoretical Analysis and Generalized NOMP Algorithm
Jiang Zhu, Hansheng Zhang, Ning Zhang +2
As radar systems will be equipped with thousands of antenna elements and wide bandwidth, the associated costs and power consumption become exceedingly high, and a potential solutio…
Earinter: A Closed-Loop System for Eating Pace Regulation with Just-in-Time Intervention Using Commodity Earbuds
Jun Fang, Ka I Chan, Xiyuxing Zhang +7
Rapid eating is common yet difficult to regulate in situ, partly because people seldom notice pace changes and sustained self-monitoring is effortful. We present Earinter, a commod…
Musketeer: Joint Training for Multi-task Vision Language Model with Task Explanation Prompts
Zhaoyang Zhang, Yantao Shen, Kunyu Shi +7
We present a vision-language model whose parameters are jointly trained on all tasks and fully shared among multiple heterogeneous tasks which may interfere with each other, result…
Agent-Omit: Adaptive Context Omission for Efficient LLM Agents
Yansong Ning, Jun Fang, Naiqiang Tan +1
Managing agent context (e.g., thought and observation) during multi-turn agent-environment interactions is an emerging strategy to improve agent efficiency. However, existing studi…
Beam Training and Alignment for RIS-Assisted Millimeter Wave Systems:State of the Art and Beyond
Peilan Wang, Jun Fang, Weizheng Zhang +3
Reconfigurable intelligent surface (RIS) has recently emerged as a promising paradigm for future cellular networks. Specifically, due to its capability in reshaping the propagation…
Phased Array-Based Sub-Nyquist Sampling for Joint Wideband Spectrum Sensing and Direction-of-Arrival Estimation
Feiyu Wang, Jun Fang, Huiping Duan +1
In this paper, we study the problem of joint wideband spectrum sensing and direction-of-arrival (DoA) estimation in a sub-Nyquist sampling framework. Specifically, considering a sc…
Low-Rank Phase Retrieval via Variational Bayesian Learning
Kaihui Liu, Jiayi Wang, Zhengli Xing +2
In this paper, we consider the problem of low-rank phase retrieval whose objective is to estimate a complex low-rank matrix from magnitude-only measurements. We propose a hierarchi…
Numerically investigating the morphology of the supernova remnant SN 1006 in the ambient medium with a density discontinuity
Jun Fang, Jingwen Yan, Lu Wen +2
Multiband observations on the type Ia supernova remnant SN 1006 indicate peculiar properties in its morphologies of emission in the radio, optical and X-ray bands. In the hard X-ra…
Parallel 3-dim fast Fourier transforms with load balancing of the plane waves
Xingyu Gao, Zeyao Mo, Jun Fang +1
The plane wave method is most widely used for solving the Kohn-Sham equations in first-principles materials science computations. In this procedure, the three-dimensional (3-dim) t…
Mixture-of-Experts Diffusion Models for Adaptive Massive MIMO Channel Estimation via Variational Bayesian Inference
Zhuorui Jiang, Jun Fang, Boyu Ning +2
Channel estimation is essential to massive multiple-input multiple-output (MIMO) systems. While recent generative model-based approaches using lightweight diffusion models (DMs) ha…
Joint Active and Passive Beamforming for Intelligent Reflecting Surface-Assisted Massive MIMO Systems
Xingjian Li, Jun Fang, Feifei Gao +1
In this paper, we study the problem of joint active and passive beamforming for intelligent reflecting surface (IRS)-assisted massive MIMO systems, where multiple IRSs equipped wit…
A Giant Peanut-shaped Ultra-High-Energy Gamma-Ray Emitter Off the Galactic Plane
Zhen Cao, Felix Aharonian, Yunxiang Bai +312
Ultra-high-energy (UHE), exceeding 100 TeV (10^12 electronvolts), γ-rays manifests extreme particle acceleration in astrophysical sources. Recent observations by γ-ray telescopes…
Spatial Channel Covariance Estimation and Two-Timescale Beamforming for IRS-Assisted Millimeter Wave Systems
Hongwei Wang, Jun Fang, Huiping Duan +1
We consider the problem of spatial channel covariance matrix (CCM) estimation for intelligent reflecting surface (IRS)-assisted millimeter wave (mmWave) communication systems. Spat…
A Fast Iterative Algorithm for Recovery of Sparse Signals from One-Bit Quantized Measurements
Jun Fang, Yanning Shen, Hongbin Li
This paper considers the problem of reconstructing sparse or compressible signals from one-bit quantized measurements. We study a new method that uses a log-sum penalty function, a…
Fast Low-Rank Bayesian Matrix Completion with Hierarchical Gaussian Prior Models
Linxiao Yang, Jun Fang, Huiping Duan +2
The problem of low rank matrix completion is considered in this paper. To exploit the underlying low-rank structure of the data matrix, we propose a hierarchical Gaussian prior mod…
Linear Precoder Design for a MIMO Gaussian Wiretap Channel with Full-Duplex Source and Destination Nodes
Lingxiang Li, Zhi Chen, A. P. Petropulu +1
We consider linear precoder design for a multiple-input multiple-output (MIMO) Gaussian wiretap channel, which comprises two legitimate nodes, i.e., Alice and Bob, operating in Ful…
Intelligent Reflecting Surface-Assisted Millimeter Wave Communications: Joint Active and Passive Precoding Design
Peilan Wang, Jun Fang, Xiaojun Yuan +3
Millimeter wave (MmWave) communications is capable of supporting multi-gigabit wireless access thanks to its abundant spectrum resource. However, the severe path loss and high dire…
Intelligent Reflecting Surface-Assisted NLOS Sensing With OFDM Signals
Jilin Wang, Jun Fang, Hongbin Li +1
This work addresses the problem of intelligent reflecting surface (IRS) assisted target sensing in a non-line-of-sight (NLOS) scenario, where an IRS is employed to facilitate the r…
MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning
Weijie Wu, Junbo Li, Lin Li +2
The paper introduces MMAC, a large benchmark of 5,638 audio clips designed to evaluate audio captioning models across multiple capability categories and evaluation dimensions, focu…
Over-the-Air Federated Multi-Task Learning
Haoming Ma, Xiaojun Yuan, Dian Fan +3
In this letter, we introduce over-the-air computation into the communication design of federated multi-task learning (FMTL), and propose an over-the-air federated multi-task learni…
Joint Transceiver and Large Intelligent Surface Design for Massive MIMO MmWave Systems
Peilan Wang, Jun Fang, Linglong Dai +1
Large intelligent surface (LIS) has recently emerged as a potential low-cost solution to reshape the wireless propagation environment for improving the spectral efficiency. In this…
Towards Regression-Free Neural Networks for Diverse Compute Platforms
Rahul Duggal, Hao Zhou, Shuo Yang +3
With the shift towards on-device deep learning, ensuring a consistent behavior of an AI service across diverse compute platforms becomes tremendously important. Our work tackles th…
On the existence of the optimal order for wavefunction extrapolation in Born-Oppenheimer molecular dynamics
Jun Fang, Xingyu Gao, Haifeng Song +1
Wavefunction extrapolation greatly reduces the number of self-consistent field (SCF) iterations and thus the overall computational cost of Born-Oppenheimer molecular dynamics (BOMD…
Jamming Transition of Point-to-Point Traffic Through Cooperative Mechanisms
Jun Fang, Zheng Qin, Xiqun Chen +1
We study the jamming transition of two-dimensional point-to-point traffic through cooperative mechanisms using computer simulation. We propose two decentralized cooperative mechani…
Sparse Bayesian Dictionary Learning with a Gaussian Hierarchical Model
Linxiao Yang, Jun Fang, Hong Cheng +1
We consider a dictionary learning problem whose objective is to design a dictionary such that the signals admits a sparse or an approximate sparse representation over the learned d…
Compressed Channel Estimation for IRS-Assisted Millimeter Wave OFDM Systems: A Low-Rank Tensor Decomposition-Based Approach
Xi Zheng, Peilan Wang, Jun Fang +1
We consider the problem of downlink channel estimation for intelligent reflecting surface (IRS)-assisted millimeter Wave (mmWave) orthogonal frequency division multiplexing (OFDM)…
An adaptive planewave method for electronic structure calculations
Beilei Liu, Huajie Chen, Geneviève Dusson +2
We propose an adaptive planewave method for eigenvalue problems in electronic structure calculations. The method combines a priori convergence rates and accurate a posteriori error…
Numerically investigating the peculiar periphery of a supernova remnant in the medium with a density gradient: the case of RCW 103
Chun-Yan Lu, Jing-Wen Yan, Lu Wen +1
The young shell-type supernova remnant RCW 103 has peculiar properties in the X-ray morphology obtained with Chandra. The southeastern shell is more brighter in the X-rays, and the…
Two-Dimensional Pattern-Coupled Sparse Bayesian Learning via Generalized Approximate Message Passing
Jun Fang, Lizao Zhang, Hongbin Li
We consider the problem of recovering two-dimensional (2-D) block-sparse signals with \emph{unknown} cluster patterns. Two-dimensional block-sparse patterns arise naturally in many…
StoryEcho: A Generative Child-as-Actor Storytelling System for Picky-Eating Intervention
Yanuo Zhou, Jun Fang, Yuntao Wang +4
Picky eating in children can undermine dietary diversity and the development of healthy eating habits, while also creating recurring tension in family feeding routines. Prior inter…
Quasi-periodic behaviour in the -ray light curve of the blazar PKS 0405-385
Yunlu Gong, Liancheng Zhou, Min Yuan +3
We analyze the quasi-periodic oscillation (QPO) of the historical light curve of FSRQs PKS 0405-385 detected by the Fermi LAT from August 2008 to November 2021. To identify and det…
Investigating the multiband nonthermal emission of the 100 TeV source eHWC J2019368 with a pulsar wind nebula scenario
Jun Fang, Lu Wen, Huan Yu +1
eHWC J2019+368 is one of the sources emitting -rays with energies higher than 100 TeV based on the recent measurement with the High Altitude Water Cherenkov Observatory (HAWC),…
Outlier-Detection Based Robust Information Fusion for Networked Systems
Hongwei Wang, Hongbin Li, Wei Zhang +3
We consider state estimation for networked systems where measurements from sensor nodes are contaminated by outliers. A new hierarchical measurement model is formulated for outlier…
FANoise: Singular Value-Adaptive Noise Modulation for Robust Multimodal Representation Learning
Jiaoyang Li, Jun Fang, Tianhao Gao +5
Representation learning is fundamental to modern machine learning, powering applications such as text retrieval and multimodal understanding. However, learning robust and generaliz…
Fundamental Diagram of Pedestrian Dynamics by Safety Interspace Model
Jun Fang, Zheng Qin, Zhengcai Lu +1
The NaSch model is a classical one-dimensional cellular automata (CA) model of freeway traffic. However, it is not suitable for simulating pedestrian dynamics due to the kinetic di…
Non-thermal emission from old supernova remnants
Jun Fang, Li Zhang
We study the non-thermal emission from old shell-type supernova remnants (SNRs) on the frame of a time-dependent model. In this model, the time-dependent non-thermal spectra of bot…
Super-Resolution Compressed Sensing: A Generalized Iterative Reweighted L2 Approach
Jun Fang, Huiping Duan, Jing Li +2
Conventional compressed sensing theory assumes signals have sparse representations in a known, finite dictionary. Nevertheless, in many practical applications such as direction-of-…
Jamming-Resistant AAV Communications: A Multichannel-Aided Approach
Bin Wang, Jun Fang, Jieru Du +1
Jamming cancellation is essential to reliable unmanned autonomous vehicle (AAV) communications in the presence of malicious jammers. In this paper, we develop a practical multichan…
Target-Mounted Intelligent Reflecting Surface for Joint Location and Orientation Estimation
Peilan Wang, Weidong Mei, Jun Fang +1
Intelligent reflecting surface (IRS) has been widely recognized as an efficient technique to reconfigure the electromagnetic environment in favor of wireless communication performa…
Recent Advances on Sub-Nyquist Sampling-Based Wideband Spectrum Sensing
Jun Fang, Bin Wang, Hongbin Li +1
Cognitive radio (CR) is a promising technology enabling efficient utilization of the spectrum resource for future wireless systems. As future CR networks are envisioned to operate…
Efficient Solving for Dynamic Data Structure Constraint Satisfaction Problem
Nanbing Li, Weijie Peng, Jin Luo +4
Functional verification plays a central role in ensuring the correctness of modern integrated circuit designs, where constrained-random verification is widely adopted to generate d…
Possible GeV gamma-ray emission from the pulsar wind nebula in CTA 1
Liancheng Zhou, Keyao Wu, Yunlu Gong +1
We report a detection of GeV -ray emission potentially originating from the pulsar wind nebula in CTA 1 by analyzing about 15 yr of Fermi Large Area Telescope data. By selectin…
Theoretical - Relations for Shell-Type Galactic Supernova Remnants
Ya-Peng Hu, Hong-An Zeng, Jun Fang +2
Relations between radio surface brightness () and diameter () of supernova remnants (SNRs) are important in astronomy. In this paper, following the work Duric \& Seaquist (1…
Robust Bayesian Compressed sensing
Qian Wan, Huiping Duan, Jun Fang +1
We consider the problem of robust compressed sensing whose objective is to recover a high-dimensional sparse signal from compressed measurements corrupted by outliers. A new sparse…
Low-Rank Covariance-Assisted Downlink Training and Channel Estimation for FDD Massive MIMO Systems
Jun Fang, Xingjian Li, Hongbin Li +1
We consider the problem of downlink training and channel estimation in frequency division duplex (FDD) massive MIMO systems, where the base station (BS) equipped with a large numbe…
DeepTravel: An End-to-End Agentic Reinforcement Learning Framework for Autonomous Travel Planning Agents
Yansong Ning, Rui Liu, Jun Wang +6
The paper introduces DeepTravel, an end‑to‑end reinforcement‑learning framework that trains autonomous travel‑planning agents to plan itineraries, invoke external tools, and self‑c…
Compress the Easy, Explore the Hard: Difficulty-Aware Entropy Regularization for Efficient LLM Reasoning
Qin-Wen Luo, Sheng Ren, Xiang Chen +4
Chain-of-Thought (CoT) has substantially empowered Large Language Models (LLMs) to tackle complex reasoning tasks, yet the verbose nature of explicit reasoning steps incurs prohibi…
Compressed Channel Estimation and Joint Beamforming for Intelligent Reflecting Surface-Assisted Millimeter Wave Systems
Peilan Wang, Jun Fang, Huiping Duan +1
In this paper, we consider channel estimation for intelligent reflecting surface (IRS)-assisted millimeter wave (mmWave) systems, where an IRS is deployed to assist the data transm…
Multiple Staggered Mesh Ewald: Boosting the Accuracy of the Smooth Particle Mesh Ewald Method
Han Wang, Xingyu Gao, Jun Fang
The smooth particle mesh Ewald (SPME) method is the standard method for computing the electrostatic interactions in the molecular simulations. In this work, the multiple staggered…
Reconfigurable Intelligent Surface Aided Constant-Envelope Wireless Power Transfer
Huiyuan Yang, Xiaojun Yuan, Jun Fang +1
By reconfiguring the propagation environment of electromagnetic waves artificially, reconfigurable intelligent surfaces (RISs) have been regarded as a promising and revolutionary h…
Reconfigurable Intelligent Surface Aided Constant-Envelope Wireless Power Transfer
Huiyuan Yang, Xiaojun Yuan, Jun Fang +1
By reconfiguring the propagation environment of electromagnetic waves artificially, reconfigurable intelligent surfaces (RISs) have been regarded as a promising and revolutionary h…
Spectral Disentanglement and Enhancement: A Dual-domain Contrastive Framework for Representation Learning
Jinjin Guo, Yexin Li, Zhichao Huang +5
Large-scale multimodal contrastive learning has recently achieved impressive success in learning rich and transferable representations, yet it remains fundamentally limited by the…
Cassie-Wenzel transition induced by localized freezing after droplet impact on supercooled micro-patterned surfaces
Jun Fang, Mengqi Ye, Huafeng Liu +3
Micro-patterned surfaces have attracted significant attention in numerous applications owing to their potential to enhance hydrophobic and icephobic properties. A Cassie state of f…
Line Spectral Estimation with Unlimited Sensing
Hongwei Wang, Jun Fang, Hongbin Li +1
In the paper, we consider the line spectral estimation problem in an unlimited sensing framework (USF), where a modulo analog-to-digital converter (ADC) is employed to fold the inp…
CSI-Free Position Optimization for Movable Antenna Communication Systems: A Black-Box Optimization Approach
Xianlong Zeng, Jun Fang, Bin Wang +2
Movable antenna (MA) is a new technology which leverages local movement of antennas to improve channel qualities and enhance the communication performance. Nevertheless, to fully r…
Bayesian Compressive Sensing Using Normal Product Priors
Zhou Zhou, Kaihui Liu, Jun Fang
In this paper, we introduce a new sparsity-promoting prior, namely, the "normal product" prior, and develop an efficient algorithm for sparse signal recovery under the Bayesian fra…
THz Beam Squint Mitigation via 3D Rotatable Antennas
Yike Xie, Weidong Mei, Dong Wang +4
Analog beamforming holds great potential for future terahertz (THz) communications due to its ability to generate high-gain directional beams with low-cost phase shifters.However,…
Compressive Near-Field Wideband Channel Estimation for THz Extremely Large-scale MIMO Systems
Jionghui Wang, Hongwei Wang, Jun Fang +2
We consider the channel acquisition problem for a wideband terahertz (THz) communication system, where an extremely large-scale array is deployed to mitigate severe path attenuatio…
The Amazon Nova Family of Models: Technical Report and Model Card
Amazon AGI, Aaron Langford, Aayush Shah +783
We present Amazon Nova, a new generation of state-of-the-art foundation models that deliver frontier intelligence and industry-leading price performance. Amazon Nova Pro is a highl…
Particle Acceleration along Magnetic Fields as the Origin of Ear-like Structures in Supernova Remnants
Huan Yu, Jun Fang
The origin of ear-like structures with two opposite lobes extending from the shell of supernova remnants (SNRs) remains a subject of active debate, with proposed mechanisms ranging…
Investigating the energy distribution of the high-energy particles in the Crab nebula
Lu Wen, Ke-Yao Wu, Huan Yu +1
The Crab nebula is a prominent pulsar wind nebula (PWN) detected in multiband observations ranging from radio to very high-energy (VHE) -rays. Recently, -rays with energies…
Large-Scale Antenna-Assisted Grant-free Non-Orthogonal Multiple Access via Compressed Sensing
Yanlun Wu, Jun Fang
Support massive connectivity is an important requirement in 5G wireless communication system. For massive Machine Type Communication (MTC) scenario, since the network is expected t…
Improving Wireless Physical Layer Security via Exploiting Co-Channel Interference
Lingxiang Li, Athina P. Petropulu, Zhi Chen +1
This paper considers a scenario in which a source-destination pair needs to establish a confidential connection against an external eavesdropper, aided by the interference generate…
Channel Estimation for Millimeter Wave Multiuser MIMO Systems via PARAFAC Decomposition
Zhou Zhou, Jun Fang, Linxiao Yang +3
We consider the problem of uplink channel estimation for millimeter wave (mmWave) systems, where the base station (BS) and mobile stations (MSs) are equipped with large antenna arr…
A New Determinant Inequality of Positive Semi-Definite Matrices
Jun Fang, Hongbin Li
A new determinant inequality of positive semidefinite matrices is discovered and proved by us. This new inequality is useful for attacking and solving a variety of optimization pro…
Spectral Compressed Sensing via CANDECOMP/PARAFAC Decomposition of Incomplete Tensors
Jun Fang, Linxiao Yang, Hongbin Li
We consider the line spectral estimation problem which aims to recover a mixture of complex sinusoids from a small number of randomly observed time domain samples. Compressed sensi…
Artificial Noise-Aided Biobjective Transmitter Optimization for Service Integration in Multi-User MIMO Gaussian Broadcast Channel
Weidong Mei, Zhi Chen, Jun Fang +1
This paper considers an artificial noise (AN)-aided transmit design for multi-user MIMO systems with integrated services. Specifically, two sorts of service messages are combined a…
Greedy Sparse Signal Reconstruction Using Matching Pursuit Based on Hope-tree
Zhetao Li, Hongqing Zeng, Chengqing Li +1
The reconstruction of sparse signals requires the solution of an -norm minimization problem in Compressed Sensing. Previous research has focused on the investigation of a s…
Computing with Smart Rings: A Systematic Literature Review
Zeyu Wang, Ruotong Yu, Xiangyang Wang +13
A smart ring is a wearable electronic device in the form of a ring that incorporates diverse sensors and computing technologies to perform a variety of functions. Designed for use…
A Derivative-Free Position Optimization Approach for Movable Antenna Multi-User Communication Systems
Xianlong Zeng, Jun Fang, Peilan Wang +2
Movable antennas (MAs) have emerged as a disruptive technology in wireless communications for enhancing spatial degrees of freedom through continuous antenna repositioning within p…
Learning Dominant Wave Directions For Plane Wave Methods For High-Frequency Helmholtz Equations
Jun Fang, Jianliang Qian, Leonardo Zepeda-Núñez +1
We present a ray-based finite element method (ray-FEM) by learning basis adaptive to the underlying high-frequency Helmholtz equation in smooth media. Based on the geometric optics…
Max-Min Beamforming for Large-Scale Cell-Free Massive MIMO: A Randomized ADMM Algorithm
Bin Wang, Jun Fang, Yue Xiao +1
We consider the problem of max-min beamforming (MMB) for cell-free massive multi-input multi-output (MIMO) systems, where the objective is to maximize the minimum achievable rate a…
On the Secrecy Capacity of a MIMO Gaussian Wiretap Channel with a Cooperative Jammer
Lingxiang Li, Zhi Chen, Jun Fang +1
We study the secrecy capacity of a helper-assisted Gaussian wiretap channel with a source, a legitimate receiver, an eavesdropper and an external helper, where each terminal is equ…
On Feasibility of Generalized Interference Alignment with Partial Interference Cancelation
Lingxiang Li, Zhi Chen, Jun Fang
We study a new IA strategy which is referred to as "Partial Interference Cancelation-based Interference Alignment" (PIC-IA). Unlike the conventional IA strategy, PIC-IA does not st…
Two Transient Quasi-periodic Oscillations in -Ray Emission from the Blazar S4 0954+658
Yunlu Gong, Shiting Tian, Liancheng Zhou +2
In this work, we report periodicity search analyses in the gamma-ray light curve of the blazar S4 0954+658 monitoring undertaken by the Fermi Large Area Telescope (LAT). Four analy…
Simultaneous Block-Sparse Signal Recovery Using Pattern-Coupled Sparse Bayesian Learning
Hang Xiao, Zhengli Xing, Linxiao Yang +2
In this paper, we consider the block-sparse signals recovery problem in the context of multiple measurement vectors (MMV) with common row sparsity patterns. We develop a new method…