- Speech and Audio Processing
- Advanced Adaptive Filtering Techniques
- Advanced Computational Techniques and Applications
- Acoustic Wave Phenomena Research
- Machine Learning and ELM
- Sparse and Compressive Sensing Techniques
- Industrial Technology and Control Systems
- Advanced Wireless Communication Techniques
- Age of Information Optimization
- ECG Monitoring and Analysis
- Distributed and Parallel Computing Systems
- International Student and Expatriate Challenges
- Advanced MIMO Systems Optimization
- Antenna Design and Optimization
- Blind Source Separation Techniques
- Neural Networks and Applications
- Optimization and Search Problems
- EEG and Brain-Computer Interfaces
- Advanced Computing and Algorithms
- Higher Education Governance and Development
- Face and Expression Recognition
- Human Resource and Talent Management
Tsinghua University
2024
Northwestern Polytechnical University
2020-2022
Technion – Israel Institute of Technology
2020
South China University of Technology
2018-2019
Xidian University
2018
University of Science and Technology Beijing
2016
In recent years, emotion recognition has become a research focus in the area of artificial intelligence. Due to its irregular structure, EEG data can be analyzed by applying graphical based algorithms or models much more efficiently. this work, Graph Convolutional Broad Network (GCB-net) was designed for exploring deeper-level information graph-structured data. It used graph convolutional layer extract features input and stacks multiple regular layers relatively abstract features. The final...
Differential microphone arrays (DMAs) can achieve high directivity and frequency-invariant spatial response with small apertures; they also have a great potential to be used in wide spectrum of applications for high-fidelity sound acquisition. Although many efforts been made address the design linear DMAs (LDMAs), most developed methods so far only work situation where source interest is incident from endfire direction. This paper studies steering problem differential beamformers arrays. We...
In recent years, research on facial expression recognition (FER) has become an increasingly active topic. Deep learning is a new area, which gives way to classify images of human faces into emotion categories. However, it many difficulties caused by poor robustness and real-time performance. This paper designs architecture network based Broad Learning System (BLS) for expressions recognition. It established as flat network. The original inputs are transferred placed mapped features in...
Microphone arrays combined with beamforming have been widely used to solve many important acoustic problems in a wide range of applications. Much effort has devoted the literature microphone array beamforming, among which Kronecker product method developed recently demonstrated some interesting properties. Generally, this decomposes global filter into number sub-beamforming filters, each corresponds virtual subarray and can be designed individually. This decomposition not only reduces...
Null directions are important parameters for differential beamformers, which play an role on the beamforming performance. In this paper, we investigate performance of beamformers as a function null directions. We first derive directivity factor (DF) explicit and show that DF decreases to 0 if any approaches desired look direction. then validate theoretical analysis through simulations using beampattern, signal-to-interference gain measures. The results that: 1) beamformer degrades...
Differential beamformers with concentric circular microphone arrays (CCMAs) are desirable for use in various applications since they can form frequency-invariant spatial responses, have better beam steering flexibility than linear arrays, and suffer less beampattern irregularity white noise amplification (CMAs). The methods developed previously differential beamforming CCMAs based on the series expansion. Such need to know analytic of target beam-pattern, which may not be accessible...
Extremely large-scale antenna array (ELAA) is promising as one of the key ingredients for sixth generation (6G) wireless communications. The electromagnetic propagation spherical wavefronts introduces an additional distance-dependent dimension beyond conventional beamspace. In this paper, we first present concise closed-form channel formulation extremely multiple-input multiple-output (XL-MIMO). All line-of-sight (LoS) and non-line-of-sight (NLoS) paths, far-field near-field scenarios,...
Recruiting overseas students can improve the visibility of University, as well bring considerable income.How to set tuition fees reasonably for is important estimate international higher education income.This paper holds that quality students' tends be more like private goods, different from general which always considered quasipublic goods.The shall decided by market.By analyzing cost, competitors, development strategy and other factors will affect tuition, this studied pricing strategies...
Multi-Installment Divisible-Load Scheduling model is a hot topic in the field of Big Data Processing heterogeneous parallel and distributed systems. The effective division data determination scheduling strategy are key difficult problems. Minimizing make-span entire divisible load primary objective multi-installment It has been demonstrated that minimized when processor sequence follows order which link speed decrease single-installment scheduling, however, optimization divisible-load very...