Chao Li

Dr. Chao Li


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
29 September 2020 in IEEE Transactions on Pattern Analysis and Machine Intelligence
Verified
Journal Article
Closed access
Wei HeWei He
Wei He
QYQuanming Yao
Quanming Yao
CLChao Li
Chao Li
Naoto YokoyaNaoto Yokoya
Naoto Yokoya
QZQibin Zhao
Qibin Zhao
Liangpei ZhangLiangpei Zhang
Liangpei Zhang
Non-local low-rank tensor approximation has been developed as a state-of-the-art method for hyperspectral image (HSI) restoration, which includes the tasks of denoising, compressed HSI reconstruction and inpainting. Unfortunately, while its restoration performance benefits from more spectral bands, its runtime also substantially increases. In this paper, we claim that the HSI lies in a global spectral low-rank subspace, and the spectral subspaces of each full band patch group should lie in this global low-rank subspace. This motivates us to propose a unified paradigm combining the spatial and spectral properties for HSI restoration. The proposed paradigm enjoys performance superiority from the non-local spatial denoising and light computation complexity from the low-rank orthogonal basis exploration. An efficient alternating minimization algorithm with rank adaptation is developed. It is done by first solving a fidelity term-related problem for the update of a latent input image, and then learning a low-dimensional orthogonal basis and the related reduced image from the latent input image. Subsequently, non-local low-rank denoising is developed to refine the reduced image and orthogonal basis iteratively. Finally, the experiments on HSI denoising, compressed reconstruction, and inpainting tasks, with both simulated and real datasets, demonstrate its superiority with respect to state-of-the-art HSI restoration methods.

12 January 2018 in Frontiers in Psychology
Verified
Journal Article
Open access
WPWei Pan
Wei Pan
XGXuemei Gao
Xuemei Gao
SSShuo Shi
Shuo Shi
FLFuqu Liu
Fuqu Liu
CLChao Li
Chao Li
A great many of empirical researches have proved that longtime exposure to violent video game can lead to a series of negative effects. Although research has focused on the neural basis of the correlation between violent video game and aggression, little is known whether the spontaneous brain activity is associated with violent video game exposure. To address this question, we measured the spontaneous brain activity using resting-state functional magnetic resonance imaging (fMRI). We used the amplitude of low-frequency fluctuations (ALFF) and fractional ALFF (fALFF) to quantify spontaneous brain activity. The results showed there is no significant difference in ALFF, or fALFF, between violent video game group and the control part, indicating that long time exposure to violent video games won’t significantly influence spontaneous brain activity, especially the core brain regions such as execution control, moral judgment and short-term memory. This implies the adverse impact of violent video games is exaggerated.

3 April 2024 in Neural Networks
Verified
Journal Article
Closed access
JZJunhua Zeng
Junhua Zeng
GZGuoxu Zhou
Guoxu Zhou
YQYuning Qiu
Yuning Qiu
CLChao Li
Chao Li
QZQibin Zhao
Qibin Zhao

13 December 2019 in IEEE Transactions on Vehicular Technology
Verified
Journal Article
Open access
ZDZheng Dou
Zheng Dou
CLChunmei Li
Chunmei Li
CLChao Li
Chao Li
XGXiao Gao
Xiao Gao
LQLin Qi
Lin Qi
A flexible mathematical framework for adaptive wireless communication waveform design is of importance for the implement of the cognitive radio-based software defined radio (CR-based SDR). As one of the popular models, the "spectrally modulated spectrally encoded" (SMSE) was proposed to tackle this problem but it cannot be trivially applied to the (massive) multiple input multiple output (MIMO) systems. In this paper, we extend the useful SMSE model into MIMO systems. Inspired by the tensor technique in signal processing and machine learning, we reformulate the desired waveforms as a higher-order tensors, of which the modes correspond to various modulation parameters such as coding chips, frequency and antennas. Beside the waveform design model, we further propose a new semi-blind receiver for the new model. Due the uniqueness of the applied tensor decomposition, we proved that the proposed receiver can jointly estimate the user symbols and channel state information without the aid of pilot sequences. Experimental results demonstrate the effectiveness of the proposed model in various communication scenes and outperforms the baseline systems. approximately 3 dB compared with the ideal receiver.

1 January 2012 in Catalysis Science & Technology
Verified
Journal Article
Closed access
PDF file
JHJing Huang
Jing Huang
GCGuodong Chen
Guodong Chen
XFXiangkai Fu
Xiangkai Fu
CLChao Li
Chao Li
CWChuanlong Wu
Chuanlong Wu
QMQiang MIAO
Qiang MIAO
A new type of primary–tertiary diamine salt prepared can be used as a catalyst for direct aldol reaction and can display high yields, diastereoselectivities (up to 99:1), and enantiomeric excesses (up to 98%), by using stoichiometric amounts of cyclic ketones and various aryl aldehydes in the presence of water. This new catalyst can also be efficiently applied in large-scale reactions with the enantioselectivity being maintained at the same level, which indicates the potential for applications in industry.

28 November 2024 in Neural Networks
Verified
Journal Article
Closed access
YQYichun Qiu
Yichun Qiu
GZGuoxu Zhou
Guoxu Zhou
CLChao Li
Chao Li
DMDanilo Mandic
Danilo Mandic
QZQibin Zhao
Qibin Zhao