A5042212206- Pulsars and Gravitational Waves Research
- Astrophysical Phenomena and Observations
- Gamma-ray bursts and supernovae
- Wireless Signal Modulation Classification
- Colorectal Cancer Treatments and Studies
- Lung Cancer Treatments and Mutations
- High-pressure geophysics and materials
- Cognitive Radio Networks and Spectrum Sensing
- Cancer Genomics and Diagnostics
- Hydraulic Fracturing and Reservoir Analysis
- Petroleum Processing and Analysis
- Wireless Communication Security Techniques
- Speech and Audio Processing
- Lung Cancer Research Studies
- Security in Wireless Sensor Networks
- Drilling and Well Engineering
- Advanced SAR Imaging Techniques
- Radar Systems and Signal Processing
Hangzhou Dianzi University
2021-2023
Institute of High Energy Physics
2018-2020
Chinese Academy of Sciences
2017-2020
University of Chinese Academy of Sciences
2018-2019
Shanghai Institute of Materia Medica
2017
Corona cooling was detected previously from stacking a series of short type-I bursts occurred during the low/had state atoll outburst. Type-I are hence regarded as sharp probe to our better understanding on basic property corona. The launch first Chinese X-ray satellite Insight-HXMT has large detection area at hard X-rays which provide almost unique chance move further in this research field. We report corona by single burst showing up {\bf flare} 4U 1636-536. This duration $\sim$13 seconds...
7522 Background: Icotinib is a potent and selective EGFR-TKI. Of 88 kinases profiled, (Ic) powerfully inhibited EGFR its 3 mutants, with no meaningful inhibition of the rest tested. This study was designed to show that Ic not inferior Gefitinib (Ge). Methods: Patients (Pts) NSCLC progressed after one or two lines chemotherapies were randomized receive (150mg Tid) Ge (250mg Qd). The primary endpoint PFS. second endpoints OS, ORR, TTP, QOL tolerance. gene mutational analysis performed by using...
Spectrum sensing methods based on deep learning require massive amounts of labeled samples. To address the scarcity samples in a real radio environment, this paper presents spectrum method semi-supervised neural network (SSDNN). Firstly, is established to extract features signals by using small samples; Then, plenty unlabeled are used for self-training process, and ones with high confidence marked pseudo-label expand dataset. Finally, extended dataset retrain network. Plentiful experiments...
The conventional frequency hopping (FH) system is susceptible to malicious jamming due the prearranged table. In this paper, we develop a bivariate agility (BFA) communication improve anti-jamming capability by assigning time-varying characteristics parameters such as fixed interval and rate in FH. Our goal find optimal strategy environment maximize signal-to-noise ratio (SINR). We formulate parameter decision problem Markov process (MDP). Then, propose deep deterministic policy gradient...
To address the issue that conventional methods cannot recognize unknown patterns of radar jamming, this study adopts idea zero-shot learning (ZSL) and proposes an open world recognition method, RCAE-OWR, based on residual convolutional autoencoders, which can implement classification known patterns. In supervised training phase, a autoencoder network structure is first constructed to extract semantic information from set consisting solely jamming By incorporating center loss reconstruction...
We use the In data collected during 2019 outburst from X-ray pulsar 4U 1901+03 to complement orbital parameters reported by Fermi/GBM. Using Insight-HXMT, we examine correlation between derivative of intrinsic spin frequency and bolometric flux based on accretion torque models. It was found that pulse profiles significantly evolve outburst. The existence two types profile's pattern discovered in Insight-HXMT indicates this source experienced transition a super-critical sub-critical regime...