簡(jiǎn) 歷：
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畢經(jīng)平，博士生導(dǎo)師，研究員。主要研究方向涵蓋智能大數(shù)據(jù)分析和網(wǎng)絡(luò)智能化等。中國(guó)計(jì)算機(jī)學(xué)會(huì)高級(jí)會(huì)員，全國(guó)網(wǎng)絡(luò)與數(shù)據(jù)通信專(zhuān)業(yè)委員會(huì)委員。國(guó)內(nèi)外多個(gè)會(huì)議或雜志的審稿人。2002年畢業(yè)于中國(guó)科學(xué)院計(jì)算技術(shù)研究所，獲博士學(xué)位。同年被破格提拔為計(jì)算所副研究員，2008年聘為博士生導(dǎo)師，2009年提拔為研究員。2009年獲盧嘉錫青年人才獎(jiǎng)，中科院青年促進(jìn)會(huì)成員。主持國(guó)家973、國(guó)家 863、國(guó)家自然科學(xué)基金、領(lǐng)域?qū)ｍ?xiàng)等多項(xiàng)重要的國(guó)家級(jí)縱向和橫向項(xiàng)目。目前發(fā)表國(guó)內(nèi)外重要雜志和會(huì)議文章150余篇，專(zhuān)利超過(guò)50項(xiàng)，專(zhuān)利轉(zhuǎn)讓8項(xiàng)，軟件登記7項(xiàng)。主持的多個(gè)國(guó)家項(xiàng)目成功實(shí)現(xiàn)了產(chǎn)學(xué)研的結(jié)合，研發(fā)成果多項(xiàng)順利實(shí)現(xiàn)產(chǎn)業(yè)化，用于我國(guó)的經(jīng)濟(jì)建設(shè)或技術(shù)轉(zhuǎn)讓。業(yè)余時(shí)間喜歡羽毛球、健身等運(yùn)動(dòng)。
??? ?本課題方向面向人工智能、大數(shù)據(jù)分析和計(jì)算機(jī)網(wǎng)絡(luò)等熱門(mén)領(lǐng)域，就業(yè)情況非常好，絕大多數(shù)學(xué)生能滿(mǎn)足個(gè)人第一志愿。95%學(xué)生就業(yè)在所屬行業(yè)的絕對(duì)領(lǐng)頭型企業(yè)或核心國(guó)家事業(yè)單位（如阿里、騰訊、頭條等互聯(lián)網(wǎng)公司，銀行、科技部等國(guó)家事業(yè)單位），部分學(xué)生選擇畢業(yè)后繼續(xù)在國(guó)外深造。
??? ?對(duì)報(bào)考學(xué)生的要求：1）熟練掌握計(jì)算機(jī)領(lǐng)域相關(guān)基礎(chǔ)知識(shí)；2）具有較強(qiáng)的動(dòng)手能力；3）熱愛(ài)科研工作；4）做事主動(dòng)、勤奮，團(tuán)隊(duì)合作能力強(qiáng)；5）數(shù)據(jù)分析、人工智能或計(jì)算機(jī)網(wǎng)絡(luò)能力強(qiáng)者優(yōu)先考慮。
主要論著：
[1].Zhihua Zhu, Xinxin Fan, Xiaokai Chu, Jingping Bi. HGCN: A Heterogeneous Graph Convolutional Network-Based Deep Learning Model Toward Collective Classification. In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining USB Stick (KDD ’20), August 23–27, 2020. (CCF A類(lèi)會(huì)議)
[2].Zhihua Zhu , Xinxin Fan , Xiaokai Chu , Jianhui Huang , Jingping Bi .2020. LRHNE: A Latent-Relation Enhanced Embedding Method for Hetero- geneous Information Networks. In Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM ’20), October 19–23, 2020. (CCF B 類(lèi)會(huì)議，ACM 數(shù)據(jù)挖掘與知識(shí)管理旗艦會(huì)議)
[3].Xiaokai Chu, Xinxin Fan, Di Yao, Zhihua Zhu, Jianhui Huang and Jingping Bi. Cross-Network Embedding for Multi-Network Alignment, ACM the World Wide Web Conference (ACM WWW) 2019. (CCF A 類(lèi)會(huì)議，ACM 萬(wàn)維網(wǎng)新興交叉領(lǐng)域頂級(jí)會(huì)議)
[4].Di Yao, Gao Cong, Chao Zhang and Jingping Bi. Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Metric Learning Approach, ICDE 2019. (CCF A 類(lèi)會(huì)議，IEEE 數(shù)據(jù)庫(kù)/數(shù)據(jù)挖掘領(lǐng)域頂級(jí)會(huì)議)
[5].Xiaokai Chu, Xinxin Fan, Di Yao, Chen-Lin Zhang, Jianhui Huang, Jingping Bi: Noise-Aware Network Embedding for Multiplex Network, IEEE International Joint Conference on Neural Networks (IEEE IJCNN) 2019. (CCF C類(lèi)會(huì)議，IEEE 神經(jīng)網(wǎng)絡(luò)與演化計(jì)算領(lǐng)域重要會(huì)議)
[6].J. Yu, J. Bi, G. Zhang, X. Fan, et al. Loop-Free Rerouting of Multiple Policies with Overlaps. IEEE Communications Letters, 22(7): 1370-1373, 2018. (SCI, IF: 2.723)
[7].Di Yao, Chao Zhang, Zhihua Zhu, Qin Hu, Zheng Wang, Jianhui Huang and Jingping Bi. Learning Deep Representation for Trajectory Clustering[J]. Expert Systems, 2018, 35(2), e12252 (CCF C 類(lèi)期刊， SCI, 影響因子 1.43) (申請(qǐng)人為通訊作者)
[8].Zhihua Zhu, Di Yao, Jianhui Huang, Hanqiang Li and Jingping Bi. Sub-trajectory- and Trajectory-Neighbor-based Outlier Detection over Trajectory Streams[C], Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2018. (CCF C類(lèi)會(huì)議，數(shù)據(jù)挖掘領(lǐng)域重要會(huì)議)
[9].???????? Di Yao, Chao Zhang, Jianhui Huang and Jingping Bi. SERM: A Recurrent Model for Next Location Prediction in Semantic Trajectories ACM on Conference on Information and Knowledge Management (ACM CIKM), Singapore, Singapore, Nov 2017. (Short Paper) (CCF B 類(lèi)會(huì)議，ACM 數(shù)據(jù)挖掘與知識(shí)管理旗艦會(huì)議)
[10].???? Jinping Yu, Xinxin Fan, Guoqiang Zhang, Jingping Bi, “Scheduling Loop-free Updates for Multiple Policies with Overlaps in Software-Defined Networks”, in International Performance Computing and Communications Conference 2017 (最佳論文).
[11].Di Yao, Chao Zhang, Zhihua Zhu, Jianhui Huang and Jingping Bi. Trajectory Clustering via Deep Representation Learning. IEEE International Joint Conference on Neural Networks ( IJCNN), pp. 3880-3887 Anchorage, USA, May 2017. (CCF C類(lèi)會(huì)議，IEEE 神經(jīng)網(wǎng)絡(luò)與演化計(jì)算領(lǐng)域重要會(huì)議)
畢經(jīng)平 研究員
研究方向：
所屬部門(mén)：裝備智能系統(tǒng)研究中心
導(dǎo)師類(lèi)別：博導(dǎo)計(jì)算機(jī)系統(tǒng)結(jié)構(gòu)
聯(lián)系方式：jpingbi@ict.ac.cn
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