On-Chip Self-Referenced Micro-Resonators Enhanced by Digital Optical Frequenc…
An on-chip self-referenced transducer assisted by digital optical frequency comb (DOFC) technology is presented for the biomolecules detection in the lower detecting limit. This self-referenced str…
All-Fiber High-Power 3 GHz Ultrafast Laser System At 2.0 μm
In this work, we report on a high-power all-fiber ultrafast laser system at 2.0 μm that delivers femtosecond pulses with a fundamental repetition rate of 3.0 GHz and a maximum output power of 33.1…
Silicon Photonic Carrier-Assisted Differential Detection Receiver With High E…
Coherent detection is advantageous in achieving high electrical spectral efficiency (ESE) relative to direct detection (DD), due to its capability of field recovery. However, the stringent requirem…
Photonic Integrated Self-Coherent Homodyne Receiver Without Optical Polarizat…
Standard coherent communication technology is being introduced to short-reach optical communications to further scale the link throughput by leveraging more degrees of freedom of an optical channel…
Photonic-Assisted Reconfigurable LO Harmonic Downconverter With RF Self-Inter…
A photonic-assisted reconfigurable LO harmonic downconverter with simultaneous image-rejection and RF self-interference cancellation (SIC) for in-band full-duplex communication is proposed and expe…
Over 100 nm Bandwidth Orbital Angular Momentum Modes Amplification For MDM an…
We designed and fabricated a ring-core Bi/Er co-doped fiber (RC-BEDF), and thus investigated the broad-spectrum amplification of orbital angular momentum (OAM) modes. The deviation from the average…
The Generation of 1.2 μJ Pulses From a Mamyshev Oscillator Based on a High C…
We demonstrate a high-energy and high-average power Mamyshev oscillator based on a high performance large-mode-area step-index germanosilicate-cladding Yb-doped fiber. The oscillation of higher-ord…
Memristor Parallel Computing for a Matrix-Friendly Genetic Algorithm
Matrix operation is easy to be paralleled by hardware, and the memristor network can realize a parallel matrix computing model with in-memory computing. This article proposes a matrix-friendly gene…
Robust Low-Tubal-Rank Tensor Recovery From Binary Measurements
Low-rank tensor recovery (LRTR) is a natural extension of low-rank matrix recovery (LRMR) to high-dimensional arrays, which aims to reconstruct an underlying tensor X from incomplete linear measure…
Deep Model Intellectual Property Protection via Deep Watermarking
Despite the tremendous success, deep neural networks are exposed to serious IP infringement risks. Given a target deep model, if the attacker knows its full information, it can be easily stolen by …
Karya Umum 
Filsafat 
Agama 
Ilmu-ilmu Sosial 
Bahasa 
Ilmu-ilmu Murni 
Ilmu-ilmu Terapan 
Kesenian, Hiburan, dan Olahraga 
Kesusastraan 
Geografi dan Sejarah