个人简介

教育背景 1.本科，华中师范大学, 2000-09-01至2004-07-01, 计算机科学与技术； 2.硕士，华中师范大学，2004-09-01至2007-07-01, 计算机应用技术； 3.博士，华中科技大学，2007-09-01至2012-07-01, 计算机系统结构； 4.访问学者 美国莱斯大学，2009-09-01至2010-10-01, 计算机工程； 5.博士后，美国佛罗里达大学，2014-07-01至2015-07-01，电子与计算机工程 任职经历 1、2015-07-20至今,平安科技（深圳）有限公司，副总工程师; 2、2012-07-01至2014-06-30,网易公司,高级研究员; 3、2011-01-01至2012-05-31,惠普公司,高级研究员;

研究领域

人工智能、大数据、深度学习、云计算、联邦学习

主持、参与项目 参与《面向图计算的通用计算机技术与系统》和《健康养老跨界服务应用示范》两项国家重大专项项目。

近期论文

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[1]Chen Feng, Jianzong Wang, Tongxu Li, Junqing Peng, Jing Xiao: A Robust Speaker Clustering Method Based on Discrete Tied Variational Autoencoder, ICASSP 2020（CCF B类会议，通讯作者） [2]Zhen Zeng, Jianzong Wang, Ning Cheng, Tian Xia, Jing Xiao: AlignTTS: Efficient Feed-Forward Text-to-Speech System without Explicit Alignment, ICASSP 2020（CCF B类会议，通讯作者） [3]Aolan Sun, Jianzong Wang, Ning Cheng, Huayi Peng, Zhen Zeng, Jing Xiao: GraphTTS: graph-to-sequence modelling in neural text-to-speech, ICASSP 2020（CCF B类会议，通讯作者） [4]Prasanna Porwal, Samiksha Pachade, Manesh Kokare, Girish Deshmukh, Jaemin Son, Woong Bae, Lihong Liu, Jianzong Wang, Xinhui Liu, Liangxin Gao, TianBo Wu, Jing Xiao, Fengyan Wang, Baocai Yin, Yunzhi Wang, Gopichandh Danala, Linsheng He, Yoon Ho Choi, Fabrice Mériaudeau:IDRiD: Diabetic Retinopathy - Segmentation and Grading Challenge. Medical Image Anal. 59 (2020) [5]Yuliang Ma, Ye Yuan, Feida Zhu, Guoren Wang, Jing Xiao, Jianzong Wang: Who Should Be Invited to My Party: A Size-Constrained k-Core Problem in Social Networks. J. Comput. Sci. Technol. 34(1): 170-184 (2019) [6]Jianzong Wang, Zhangcheng Huang, Lingwei Kong, Jing Xiao, Pengyu Wang, Lu Zhang, Chao Li:Performance of Training Sparse Deep Neural Networks on GPUs. HPEC 2019: 1-5 [7]Xinghua Zhu, Jianzong Wang, Zhenhou Hong, Junxiong Guo, Jing Xiao:On Probability Calibration of Recurrent Text Recognition Network. ICONIP (3) 2019: 425-436（CCF C类会议，通讯作者） [8]Xinghua Zhu, Jianzong Wang, Zhenhou Hong, Tian Xia, Jing Xiao:Federated Learning of Unsegmented Chinese Text Recognition Model. ICTAI 2019: 1341-1345（CCF C类会议，通讯作者） [9]Aozhi Liu, Jianzong Wang, Junqing Peng, Yiwen Wang, Yaqi Mei, Xiaojing Liang, Zimin Xia, Jing Xiao:Composer4Everyone: Automatic Music Generation with Audio Motif. MIPR 2019: 502-503 [10]Sein Minn, Michel C. Desmarais, Feida Zhu, Jing Xiao, Jianzong Wang:Dynamic Student Classiffication on Memory Networks for Knowledge Tracing. PAKDD (2) 2019: 163-174 [11]Wei Xie, Feida Zhu, Jing Xiao, Jianzong Wang:Social Network Monitoring for Bursty Cascade Detection. TKDD 12(4): 40:1-40:24 (2018) [12]Jianzong Wang, Aozhi Liu, Jing Xiao:Video-Based Pig Recognition with Feature-Integrated Transfer Learning. CCBR 2018: 620-631 [13]Siqi Zheng, Jianzong Wang, Jing Xiao, Wei-Ning Hsu, James R. Glass:A Noise-Robust Self-Adaptive Multitarget Speaker Detection System. ICPR 2018: 1068-1072 （CCF C类会议，通讯作者） [14]Lihong Liu, Jin Ma, Jianzong Wang, Jing Xiao:Automated Full Quantification of Left Ventricle with Deep Neural Networks. STACOM@MICCAI 2018: 412-420 [15]Jianzong Wang, Hui Guo, Jing Xiao:Prioritized Grid Highway Long Short-Term Memory-Based Universal Background Model for Speaker Verification. CCBR 2017: 584-592 [16]Jianzong Wang, Yiwen Wang, Aozhi Liu, Jing Xiao:Assistance of Speech Recognition in Noisy Environment with Sentence Level Lip-Reading. CCBR 2017: 593-601 [17]Xin Mu, Feida Zhu, Ee-Peng Lim, Jing Xiao, Jianzong Wang, Zhi-Hua Zhou:User Identity Linkage by Latent User Space Modelling. KDD 2016: 1775-1784 [18]Jianzong Wang, Lianglun Cheng:qSDS: A QoS-Aware I/O Scheduling Framework towards Software Defined Storage. ANCS 2015: 195-196 （CCF C类会议，第一作者） [19]Jianzong Wang, Lianglun Cheng:DistDL: A Distributed Deep Learning Service Schema with GPU Accelerating. APWeb 2015: 793-804 （CCF C类会议，第一作者） [20]Chao Yin, Jianzong Wang, Haitao Lv, Zongmin Cui, Lianglun Cheng, Qin Zhan, Tongfang Li:OptRS: An Optimized Algorithm Based on CRS Codes in Big Data Storage Systems. ICA3PP (1) 2015: 228-240 （CCF C类会议，通讯作者） [21]Chao Yin, Jianzong Wang, Changsheng Xie, Jiguang Wan, Changlin Long, Wenjuan Bi:Robot: An efficient model for big data storage systems based on erasure coding. BigData 2013: 163-168 （CCF C类会议，通讯作者） 专著：王健宗著，深入理解AutoML和AutoDL: 构建自动化机器学习和深度学习平台，机械工业出版社，2019年8月