Kun Xu mainly investigates Optics, Optical fiber, Optoelectronics, Artificial intelligence and Photonics. His research integrates issues of Optical Carrier transmission rates, Radio frequency, Signal and Phase modulation in his study of Optics. His research in Optical fiber intersects with topics in Phase, Dynamic range and Interferometry.
His Optoelectronics study integrates concerns from other disciplines, such as Polarization and Hexagonal lattice. His studies in Artificial intelligence integrate themes in fields like Multimedia and Natural language processing. Kun Xu combines subjects such as Broadband, Microwave and Optical filter with his study of Photonics.
His main research concerns Optics, Electronic engineering, Photonics, Optoelectronics and Optical fiber. His work carried out in the field of Optics brings together such families of science as Microwave, Modulation and Phase modulation. His research in Modulation tackles topics such as Intermodulation which are related to areas like Digital signal processing.
His Electronic engineering research is multidisciplinary, incorporating elements of Radio frequency and Transmission, Radio over fiber. Kun Xu has researched Photonics in several fields, including Optical filter and Signal processing. His study in Optoelectronics is interdisciplinary in nature, drawing from both Polarization, Band-pass filter and Mode-locking, Laser.
His primary areas of investigation include Artificial intelligence, Natural language processing, Optics, Artificial neural network and Electronic engineering. His Artificial intelligence research incorporates themes from Structure and Machine learning. His Natural language processing research includes themes of Embedding and Word.
His Optics study frequently draws connections to other fields, such as Optical Carrier transmission rates. His work focuses on many connections between Artificial neural network and other disciplines, such as Photonics, that overlap with his field of interest in Radio frequency. His study looks at the intersection of Electronic engineering and topics like Signal processing with Radio over fiber and Modulation.
His primary areas of study are Artificial intelligence, Natural language processing, Artificial neural network, Graph and Theoretical computer science. His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning and Multimedia. His Natural language processing research integrates issues from Representation, Embedding, Structure and Categorization.
His Artificial neural network research is multidisciplinary, relying on both Dynamic range, Wideband, Genetic algorithm, Nonlinear distortion and Distortion. His Graph research is multidisciplinary, incorporating perspectives in Commonsense knowledge, Natural language and Conceptualization. His Theoretical computer science research focuses on Cross lingual and how it connects with Data mining.
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Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling
Kun Xu;Yansong Feng;Songfang Huang;Dongyan Zhao.
empirical methods in natural language processing (2015)
Significantly enhanced energy storage performance promoted by ultimate sized ferroelectric BaTiO3 fillers in nanocomposite films
Yanan Hao;Xiaohui Wang;Ke Bi;Jiameng Zhang.
Nano Energy (2017)
Question Answering on Freebase via Relation Extraction and Textual Evidence
Kun Xu;Siva Reddy;Yansong Feng;Songfang Huang.
meeting of the association for computational linguistics (2016)
Machine learning in materials science
Jing Wei;Xuan Chu;Xiang‐Yu Sun;Kun Xu.
Multiwavelength fiber laser with fine adjustment, based on nonlinear polarization rotation and birefringence fiber filter.
Zuxing Zhang;Li Zhan;Kun Xu;Jian Wu.
Optics Letters (2008)
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks
Kun Xu;Lingfei Wu;Zhiguo Wang;Yansong Feng.
arXiv: Artificial Intelligence (2018)
Broadband Photonic RF Channelization Based on Coherent Optical Frequency Combs and I/Q Demodulators
Xiaojun Xie;Yitang Dai;Kun Xu;Jian Niu.
IEEE Photonics Journal (2012)
Satellite Payloads Pay Off
Shilong Pan;Dan Zhu;Shifeng Liu;Kun Xu.
IEEE Microwave Magazine (2015)
Identification of circular RNAs as a promising new class of diagnostic biomarkers for human breast cancer.
Lingshuang Lü;Jian Sun;Peiyi Shi;Weimin Kong.
SnO 2 -in-Polymer Matrix for High-Efficiency Perovskite Solar Cells with Improved Reproducibility and Stability.
Jing Wei;Fengwan Guo;Xi Wang;Kun Xu.
Advanced Materials (2018)
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