A5100462815- Complex Network Analysis Techniques
- Advanced Graph Neural Networks
- Opinion Dynamics and Social Influence
- Digital Holography and Microscopy
- Image Processing Techniques and Applications
- Caching and Content Delivery
- Digital Marketing and Social Media
- Mechanical and Optical Resonators
- Spam and Phishing Detection
- Quantum Mechanics and Non-Hermitian Physics
- Cosmology and Gravitation Theories
- Advanced Clustering Algorithms Research
- Photonic and Optical Devices
- Pulsars and Gravitational Waves Research
- Web Data Mining and Analysis
- Bioinformatics and Genomic Networks
- Quantum and electron transport phenomena
- Image Enhancement Techniques
- Advanced Vision and Imaging
- Galaxies: Formation, Evolution, Phenomena
- High-pressure geophysics and materials
- Quantum Information and Cryptography
- Sentiment Analysis and Opinion Mining
- Information and Cyber Security
- Recommender Systems and Techniques
Southern University of Science and Technology
2024-2025
Princeton University
2024-2025
Beijing Academy of Quantum Information Sciences
2024
Tianjin University of Technology
2024
Northwestern Polytechnical University
2022-2023
Ministry of Industry and Information Technology
2022-2023
Chinese University of Hong Kong
2022-2023
Shenzhen Academy of Robotics
2023
Chongqing University of Science and Technology
2020-2022
Hubei University of Technology
2021
Most real systems consist of a large number interacting, multi-typed components, while most contemporary researches model them as homogeneous information networks, without distinguishing different types objects and links in the networks. Recently, more researchers begin to consider these interconnected, data heterogeneous develop structural analysis approaches by leveraging rich semantic meaning Compared widely studied network, network contains richer structure information, which provides...
Radio-frequency interference is a growing concern as wireless technology advances, with potentially life-threatening consequences like between radar altimeters and 5 G cellular networks. Mobile transceivers mix signals varying ratios over time, posing challenges for conventional digital signal processing (DSP) due to its high latency. These will worsen future technologies adopt higher carrier frequencies data rates. However, DSPs, already on the brink of their clock frequency limit, are...
Nowadsys, many new users are keeping joining in the online social networks every day and these usually have very few connections sparse auxiliary information network. Prediction links for is important. Different from conventional link prediction problems, more challenging due to lack of Meanwhile, recent years, involved multiple simultaneously enjoy specific services offered by different networks. The shared can act as "anchors" aligned they participate in. In this paper, we propose a method...
<title>Abstract</title> Quantum metrology has emerged as a powerful tool for timekeeping, field sensing, and precision measurements within fundamental physics. With the advent of distributed quantum metrology, its capabilities have been extended to probing spatially parameters across networked systems. However, generating necessary non-local entanglement remains significant challenge, inherent incompatibility in multi-parameter estimation affects ultimate performance. Here we use...
Abstract Neuromorphic photonics has become one of the research forefronts in photonics, with its benefits low‐latency signal processing and potential significant energy consumption reduction when compared digital electronics. With artificial intelligence (AI) computing accelerators high demand, high‐impact goals is to build scalable neuromorphic photonic integrated circuits which can accelerate AI models at efficiency. A complete system comprises seven stacks: materials, devices, circuits,...
Nowadays, to facilitate the communication and cooperation among employees, a new family of online social networks has been adopted in many companies, which are called "enterprise networks" (ESNs). ESNs can provide employees with various professional services help them deal daily work issues. Meanwhile, companies usually organized into different hierarchies according relative ranks their positions. The company internal management structure be outlined organizational chart visually, is...
Community detection in online social networks has been a hot research topic recent years. Meanwhile, to enjoy more network services, users nowadays are usually involved multiple simultaneously, some of which can share common information and structures. Networks that involve named as "partially aligned networks". In this paper, we want detect communities partially is formally defined the "Mutual Clustering" problem. The problem very challenging it two important issues address: (1) how...
Anyons, exotic quasiparticles in two-dimensional space exhibiting nontrivial exchange statistics, play a crucial role universal topological quantum computing. One notable proposal to manifest the fractional statistics of anyons is toric code model; however, scaling up its size through simulation poses serious challenge because highly entangled ground state. In this Letter, we demonstrate that modular superconducting processor enables hardware-pragmatic implementation model. Through...
Many companies have started to use Enterprise Social Networks (ESNs), such as Yammer, facilitate collaboration and communication amongst their employees in the business context. link recommendation, which finds suggests whom one wants connect with a company, is crucial for ESNs promote usages. Although recommendation has been studied extensively external social networks (e.g., Facebook Twitter), it not addressed ESNs. In this paper, we study novel problem. significantly different from that...
Nowadays, a modern e-commerce company may have both online sales and offline departments. Normally, attempt to sell in small quantities individual customers through broadcasting large amount of emails or promotion codes, which heavily rely on the designed backend algorithms. Offline sales, other hand, try much larger enterprise contacts initiated by representatives, are more costly compared sales. Unlike many previous research works focusing machine learning algorithms support this paper...
Abstract Novel physical concepts that originate from quantum mechanics, such as non‐Hermitian systems (dealing mostly with PT and anti‐ symmetry) bound states in the continuum (BICs), have attracted great interest optics photonics community. To date, BICs symmetry seem to be two independent topics. Here, a parallel cascaded‐resonator system is proposed for first time achieve simultaneously. It found requirements Fabry–Pérot BIC can both satisfied when phase shift between any adjacent...
People nowadays need to spend a large amount of time on their work everyday and workplace has become an important social occasion for effective communication information exchange among employees. Besides traditional online contacts (e.g., face-to-face meetings telephone calls), facilitate the cooperation employees, new type networks been launched inside firewalls many companies, which are named as "enterprise networks" (ESNs). In this paper, we want study diffusion employees at via both ESNs...
Traditional viral marketing problem aims at selecting a set of influential seed users to maximize the awareness products and ideas in one single social network. However, real scenarios, users' profiles target network (e.g., Facebook) are usually confidential public, which block conventional strategies reaching consumers effectively. Instead, since nowadays involved multiple networks simultaneously, can actually be performed other public networks. These with profile information referred as...
Looking from a global perspective, the landscape of online social networks is highly fragmented. A large number have appeared, which can provide users with various types services. Generally, information available in these diverse categories, be represented as heterogeneous (HSNs) formally. Meanwhile, such an age media, usually participate multiple simultaneously, who act anchors aligning different together. So HSNs not only represent each network, but also fuse networks. Formally, sharing...
Most real systems consist of a large number interacting, multi-typed components, while most contemporary researches model them as homogeneous networks, without distinguishing different types objects and links in the networks. Recently, more researchers begin to consider these interconnected, data heterogeneous information develop structural analysis approaches by leveraging rich semantic meaning Compared widely studied network, network contains richer structure information, which provides...
Traditional viral marketing problems aim at selecting a subset of seed users for one single product to maximize its awareness in social networks. However, real scenarios, multiple products can be promoted networks the same time. At level, relationships among these quite intertwined, e.g., competing, complementary and independent. In this paper, we will study interTwined Influence Maximization (i.e., Tim) problem that target on online networks, where other competing/complementary/independent...
Traditional viral marketing problems aim at selecting a subset of seed users for one single product to maximize its awareness in social networks. However, real scenarios, multiple products can be promoted networks the same time. At level, relationships among these quite intertwined, e.g., competing, complementary and independent. In this paper, we will study "interTwined Influence Maximization" (i.e., TIM) problem that target on online networks, where other...
Employees in companies can be divided into different social communities, and those who frequently socialize with each other are treated as close friends will grouped the same community. In enterprise context, a large amount of information about employees is available both (1) offline company internal sources (2) online networks (ESNs). What's more, also contain multiple categories employees' socialization activity at time. this paper, we propose to detect communities based on these...
Deep learning techniques can be introduced into the digital holography to suppress coherent noise. It is often necessary first make a dataset of noisy and noise-free phase images train network. However, are difficult obtain in practical holographic applications. Here we propose label-free training algorithms based on self-supervised learning. A dilated blind spot network built learn from real noise level function estimate function. Then they trained together via maximizing constrained...