职务/职称
深圳市大数据研究院信息系统大数据实验室研究科学家
研究方向
统计信号处理，优化算法
电子邮箱
rui.zhou@sribd.cn
教育背景
2013.08-2017.06 东南大学，信息工程，学士
2017.08-2021.07 香港科技大学，电子及计算机工程，博士
个人介绍
周睿博士于2017年在东南大学信息科学与工程学院取得学士学位。2021年在香港科技大学电子及计算机工程学院取得博士学位，同年7月加入深圳市大数据研究院，担任研究科学家。研究兴趣包括优化算法、统计信号处理、金融工程等。在相关领域发表了10 余篇国际权威期刊与会议论文。现主持国家自然科学青年基金，深圳市优秀创新人才培养项目（博士启动），并参与国家重点研发计划。
代表性论文
1. Rui Zhou, Jiaxi Ying, and Daniel P. Palomar, “Covariance Matrix Estimation Under Low-Rank Factor Model with Nonnegative Correlations,” IEEE Trans. on Signal Processing, vol. 70, pp. 4020-4030, Aug. 2022.
2. Rui Zhou and Daniel P. Palomar, Solving High-order Portfolios via Successive Convex Approximation Algorithms, IEEE Trans. on Signal Processing, vol. 69, pp. 892-904, Feb. 2021.
3. Rui Zhou, Junyan Liu, Sandeep Kumar, and Daniel P. Palomar, Student’s t VAR Modeling with Missing Data via Stochastic EM and Gibbs Sampling, IEEE Trans. on Signal Processing, vol. 68, pp. 6198-6211, Oct. 2020.
4. Rui Zhou and Daniel P. Palomar, Understanding the Quintile Portfolio, IEEE Trans. on Signal Processing, vol. 68, pp. 4030-4040, July 2020.
职务/职称
深圳市大数据研究院信息系统大数据实验室研究科学家/副研究员
研究方向
群体智能、边缘智能、通信感知一体化、空中计算、携能通信
电子邮箱
lixiaoyang@sribd.cn
教育背景
香港大学博士
南方科技大学学士
主要成果/荣誉
福布斯中国30岁以下精英榜，2022.11.
粤港澳大湾区高价值专利培养布局大赛优秀奖（50/2000），2022.12.
南方科技大学校长卓越博士后，2020.10.
个人介绍
李晓阳于2016年在南方科技大学电子与电气工程系取得学士学位，2020年在香港大学电子电机工程系取得博士学位，曾任南方科技大学校长卓越博士后。现为深圳市大数据研究院研究科学家，对群体智能、边缘学习、空中计算、通信感知计算一体化等多个无线通信前沿方向进行研究，在国内外权威刊物发表论文20余篇，并申请专利10余项；担任国家自然科学基金青年项目、深圳市自然科学基金面上项目、中国博士后基金面上项目、中国信通院横向合作项目负责人。入选福布斯中国青年精英榜。
代表性论文
1. X. Li, Y. Gong*, K. Huang, and Z. Niu, “Over-the-Air Integrated Sensing, Communication, and Computation in IoT Networks”, IEEE Wireless Communications, early access, 2023.
2. X. Li, F. Liu, Z. Zhou, G. Zhu, S. Wang, K. Huang, and Y. Gong*, “Integrated Sensing, communication, and computation Over-the-Air: MIMO Beamforming Design”, IEEE Transactions on Wireless Communications, early access, 2023.
3. X. Li, G. Zhu, K. Shen, K. Han, K. Huang, and Y. Gong*, “Energy Efficient Wireless Crowd Labelling: Joint Annotator Clustering and Power Control”, IEEE Transactions on Wireless Communications, early access, 2022.
4. Z. Zhou, X. Li*, C. You, K. Huang, and Y. Gong*, “Joint Sensing and Communication-Rate Control for Energy Efficient Mobile Crowd Sensing”, IEEE Transactions on Wireless Communications, early access, 2022.
5. X. Li, S. Wang, G. Zhu, Z. Zhou, K. Huang, and Y. Gong*, “Data Partition and Rate Control for Learning and Energy Efficient Edge Intelligence”, IEEE Transactions on Wireless Communications, vol. 21, no. 11, pp. 9127-9142, Nov. 2022.
6. X. Li, G. Zhu, K. Shen, W. Yu, Y. Gong*, and K. Huang*, “Joint Annotator-and-Spectrum Allocation in Wireless Networks for Crowd Labelling”, IEEE Transactions on Wireless Communications, vol. 19, no. 9, pp. 6116-6128, Sep. 2020.
7. X. Li, G. Zhu, Y. Gong, and K. Huang*, “Wirelessly Powered Data Aggregation for IoT via Over-the-Air Function Computation: Beamforming and Power Control”, IEEE Transactions on Wireless Communications, vol. 18, no. 7, pp. 3437-3452, July 2019.
8. X. Li, C. You, S. Andreev, Y. Gong, and K. Huang*, “Wirelessly Powered Crowd Sensing: Joint Power Transfer, Sensing, Compression, and Transmission”, IEEE Journal on Selected Areas in Communications, vol. 37, no. 2, pp. 391-406, Feb. 2019.
职务/职称
深圳市大数据研究院信息系统大数据实验室研究科学家/副研究员
研究方向
群体智能、边缘智能、通信感知一体化、空中计算、携能通信
电子邮箱
lixiaoyang@sribd.cn
教育背景
香港大学博士
南方科技大学学士
主要成果/荣誉
福布斯中国30岁以下精英榜，2022.11.
粤港澳大湾区高价值专利培养布局大赛优秀奖（50/2000），2022.12.
南方科技大学校长卓越博士后，2020.10.
个人介绍
李晓阳于2016年在南方科技大学电子与电气工程系取得学士学位，2020年在香港大学电子电机工程系取得博士学位，曾任南方科技大学校长卓越博士后。现为深圳市大数据研究院研究科学家，对群体智能、边缘学习、空中计算、通信感知计算一体化等多个无线通信前沿方向进行研究，在国内外权威刊物发表论文20余篇，并申请专利10余项；担任国家自然科学基金青年项目、深圳市自然科学基金面上项目、中国博士后基金面上项目、中国信通院横向合作项目负责人。入选福布斯中国青年精英榜。
代表性论文
1. X. Li, Y. Gong*, K. Huang, and Z. Niu, “Over-the-Air Integrated Sensing, Communication, and Computation in IoT Networks”, IEEE Wireless Communications, early access, 2023.
2. X. Li, F. Liu, Z. Zhou, G. Zhu, S. Wang, K. Huang, and Y. Gong*, “Integrated Sensing, communication, and computation Over-the-Air: MIMO Beamforming Design”, IEEE Transactions on Wireless Communications, early access, 2023.
3. X. Li, G. Zhu, K. Shen, K. Han, K. Huang, and Y. Gong*, “Energy Efficient Wireless Crowd Labelling: Joint Annotator Clustering and Power Control”, IEEE Transactions on Wireless Communications, early access, 2022.
4. Z. Zhou, X. Li*, C. You, K. Huang, and Y. Gong*, “Joint Sensing and Communication-Rate Control for Energy Efficient Mobile Crowd Sensing”, IEEE Transactions on Wireless Communications, early access, 2022.
5. X. Li, S. Wang, G. Zhu, Z. Zhou, K. Huang, and Y. Gong*, “Data Partition and Rate Control for Learning and Energy Efficient Edge Intelligence”, IEEE Transactions on Wireless Communications, vol. 21, no. 11, pp. 9127-9142, Nov. 2022.
6. X. Li, G. Zhu, K. Shen, W. Yu, Y. Gong*, and K. Huang*, “Joint Annotator-and-Spectrum Allocation in Wireless Networks for Crowd Labelling”, IEEE Transactions on Wireless Communications, vol. 19, no. 9, pp. 6116-6128, Sep. 2020.
7. X. Li, G. Zhu, Y. Gong, and K. Huang*, “Wirelessly Powered Data Aggregation for IoT via Over-the-Air Function Computation: Beamforming and Power Control”, IEEE Transactions on Wireless Communications, vol. 18, no. 7, pp. 3437-3452, July 2019.
8. X. Li, C. You, S. Andreev, Y. Gong, and K. Huang*, “Wirelessly Powered Crowd Sensing: Joint Power Transfer, Sensing, Compression, and Transmission”, IEEE Journal on Selected Areas in Communications, vol. 37, no. 2, pp. 391-406, Feb. 2019.
职务/职称
深圳市大数据研究院政务与法治大数据实验室副主任
香港大学副教授
研究方向
中国司法制度、法律与经济发展、法律与数据科学等交叉领域的研究
电子邮箱
zhuangliu@sribd.cn
教育背景
美国芝加哥大学法律科学博士
北京大学法学硕士
北京大学法学学士
主要成果/荣誉
在相关领域国际一流期刊（如Journal of Legal Studies, Journal of Legal Analysis, American Journal of Comparative Law, China Quarterly, Journal of Contemporary China等）发表论文多篇。作为主持人承担多项国家及地方研究课题，包括国家重点研发计划、国家自然科学基金等。
个人介绍
深圳市大数据研究院政务与法治大数据实验室副主任、香港大学副教授。在北京大学获得学士和博士学位，在芝加哥大学获得法律科学博士学位。他专注于中国司法制度、法律与经济发展、法律与数据科学等交叉领域的研究，在相关领域国际一流期刊（如Journal of Legal Studies, Journal of Legal Analysis, American Journal of Comparative Law, China Quarterly, Journal of Contemporary China等）发表论文多篇。作为主持人承担多项国家及地方研究课题，包括国家重点研发计划、国家自然科学基金等。
代表性论文
Liu, Z. (2018). Does reason writing reduce decision bias? Experimental evidence from judges in China. The Journal of Legal Studies, 47(1), 83-118.
Tang, Y., & Liu, J. Z. (2019). Mass Publicity of Chinese Court Decisions. China Review, 19(2), 15-40.
Liu, J. Z., & Zhang, A. H. (2019). Ownership and political control: Evidence from charter amendments. International Review of Law and Economics, 60, 105853.
职务/职称
深圳市大数据研究院政务与法治大数据实验室副主任
香港大学副教授
研究方向
中国司法制度、法律与经济发展、法律与数据科学等交叉领域的研究
电子邮箱
zhuangliu@sribd.cn
教育背景
美国芝加哥大学法律科学博士
北京大学法学硕士
北京大学法学学士
主要成果/荣誉
在相关领域国际一流期刊（如Journal of Legal Studies, Journal of Legal Analysis, American Journal of Comparative Law, China Quarterly, Journal of Contemporary China等）发表论文多篇。作为主持人承担多项国家及地方研究课题，包括国家重点研发计划、国家自然科学基金等。
个人介绍
深圳市大数据研究院政务与法治大数据实验室副主任、香港大学副教授。在北京大学获得学士和博士学位，在芝加哥大学获得法律科学博士学位。他专注于中国司法制度、法律与经济发展、法律与数据科学等交叉领域的研究，在相关领域国际一流期刊（如Journal of Legal Studies, Journal of Legal Analysis, American Journal of Comparative Law, China Quarterly, Journal of Contemporary China等）发表论文多篇。作为主持人承担多项国家及地方研究课题，包括国家重点研发计划、国家自然科学基金等。
代表性论文
Liu, Z. (2018). Does reason writing reduce decision bias? Experimental evidence from judges in China. The Journal of Legal Studies, 47(1), 83-118.
Tang, Y., & Liu, J. Z. (2019). Mass Publicity of Chinese Court Decisions. China Review, 19(2), 15-40.
Liu, J. Z., & Zhang, A. H. (2019). Ownership and political control: Evidence from charter amendments. International Review of Law and Economics, 60, 105853.
职务/职称
信息系统大数据实验室研究科学家
研究方向
凸优化算法，深度学习算法，通信与雷达信号处理算法
电子邮箱
zhaolicheng@sribd.cn
教育背景
香港科技大学博士
东南大学学士
个人介绍
赵立成于2014年获得东南大学信息工程学士学位，于2018年获得香港科技大学电子与计算机工程博士学位。在博士期间以第一作者发表五篇期刊文章，刊于IEEE Transactions on Signal Processing。自2018年至2021年，在京东担任算法工程师，负责推荐系统的构建与优化，有丰富的深度学习实践落地经验。目前赵立成博士被深圳市认定为海外高层次C类人才，其研究方向包括凸优化算法，深度学习算法，通信与雷达信号处理算法等。
职务/职称
信息系统大数据实验室研究科学家
研究方向
凸优化算法，深度学习算法，通信与雷达信号处理算法
电子邮箱
zhaolicheng@sribd.cn
教育背景
香港科技大学博士
东南大学学士
个人介绍
赵立成于2014年获得东南大学信息工程学士学位，于2018年获得香港科技大学电子与计算机工程博士学位。在博士期间以第一作者发表五篇期刊文章，刊于IEEE Transactions on Signal Processing。自2018年至2021年，在京东担任算法工程师，负责推荐系统的构建与优化，有丰富的深度学习实践落地经验。目前赵立成博士被深圳市认定为海外高层次C类人才，其研究方向包括凸优化算法，深度学习算法，通信与雷达信号处理算法等。
职务/职称
研究科学家
研究方向
强化学习、智能楼宇，博弈论与网络优化
电子邮箱
zhangliangshuxue@gmail.com
教育背景
华中科技大学，学士， 2011
香港理工大学， 博士， 2016
主要成果/荣誉
国际会议Buildsys 2014的最佳论文奖
深圳市海外高层次人才(C类)
个人介绍
2017-2022年先后入职京东和腾讯，发表在KDD、SIGIR等多项强化学习决策研究成果在京东商业广告和腾讯王者荣耀上线应用，谷歌引用量1100+。后加入鹏城实验室，担任副研究员。主要研究方向: 强化学习，智能楼宇，博弈论与网络优化等。
代表性论文
博弈论与网络优化
1,Y. Zhao, H. Wang, H. Su, L. Zhang, R. Zhang, D. Wang, K. Xu,“Understand love of variety in wireless data market under sponsored data plans”,IEEE JSAC 2020 (CCF-A)
2,Y. Zhao, H, Su, L. Zhang, D. Wang, K. Xu, "Variety Matters: A New Model for the Wireless Data Market under Sponsored Data Plans", in Proc. of IEEE/ACM IWQoS 2019. (CCF-B)
3, Liang Zhang, Weijie Wu and Dan Wang, "TDS: Time-Dependent Sponsored Data Plan for Wireless Data Traffic Market", in Proc. of IEEE INFOCOM 2016. (CCF-A)
4, Liang Zhang, Weijie Wu and Dan Wang,"Sponsored Data Plan: A Two-Class Service Model in Wireless Data Networks", in Proc. of ACM SIGMETRICS 2015. (CCF-B, CORE* A)
5, Liang Zhang, Weijie Wu and Dan Wang, "Time Dependent Pricing in Wireless Data Networks: Flat-rates vs. Usage-based Schemes", in Proc. of IEEE INFOCOM, 2014 (CCF-A)
绿色智能楼宇
6, Z Zheng, F Wang, D Wang, L Zhang, "An Urban Mobility Model with Buildings Involved:
Bridging Theory to Practice", ACM TOSN 2020 (CCF-B)
7,Z. Zheng, F. Wang, D. Wang, and L. Zhang, "Buildings affect Mobile Pattens: Developing a new Urban Mobility Model", in Proc. of ACM Buildsys’18 (Best Paper Award)
8,L. Zhang, A. H. Lam and D. Wang, "Strategy proof Thermal Comfort Voting in Buildings,
in Proc. of ACM BuildSys’14
强化学习以及应用
9, D. Zhao, L. Zhang*, B. Zhang, L. Zheng, Y. Bao, W. Yan, "MaHRL: Multi-goals Abstraction based Deep Hierarchical Reinforcement Learning for Recommendations", in Proc. of ACM SIGIR 2020 (CCF-A)
10, Y. Su, L. Zhang*, Q. Dai, B. Zhang, J. Yan, S. Xu, D. Wang, Y. He, Y. Bao, and W. Yan, "An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click Calibration", in Proc. of IJCAI 2020 (CCF-A)
11, Y. Wang, L. Zhang(co-first author), Q. Dai, F. Sun, B. Zhang, Y. He, Y. Bao and W. Yan , "Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction", in Proc. of ACM CIKM 2019 (CCF-B)
12, X. Zhao, L. Xia, L. Zhang, Z. Ding, D. Yin, J. Tang, "Deep Reinforcement Learning for Page-wise Recommendations", in Proc. of ACM RecSys 2018 (CCF-B，高引论文270+)
13, X. Zhao, L. Zhang, Z. Ding, L. Xia, J. Tang, and D. Yin. "Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning". in Proc. of ACM SIGKDD 2018. (CCF-A，高引论文280+)
14,W. Lu, F. Chung, K. Lai, L. Zhang,"Recommender system based on scarce information mining", Neural Networks, 2017 (CCF-B)
15, Q Dai, X Shen, Z Zheng, L Zhang, Q Li, D Wang, "Adversarial training regularization for negative sampling based network embedding", Information Sciences 2021 (CCF-B)
16, Q. Dai, X. Shen, L. Zhang, Q. Li, D. Wang, "Adversarial Training Methods for Network Embedding", in Proc. of ACM WWW 2019 (CCF-A)
职务/职称
研究科学家
研究方向
强化学习、智能楼宇，博弈论与网络优化
电子邮箱
zhangliangshuxue@gmail.com
教育背景
华中科技大学，学士， 2011
香港理工大学， 博士， 2016
主要成果/荣誉
国际会议Buildsys 2014的最佳论文奖
深圳市海外高层次人才(C类)
个人介绍
2017-2022年先后入职京东和腾讯，发表在KDD、SIGIR等多项强化学习决策研究成果在京东商业广告和腾讯王者荣耀上线应用，谷歌引用量1100+。后加入鹏城实验室，担任副研究员。主要研究方向: 强化学习，智能楼宇，博弈论与网络优化等。
代表性论文
博弈论与网络优化
1,Y. Zhao, H. Wang, H. Su, L. Zhang, R. Zhang, D. Wang, K. Xu,“Understand love of variety in wireless data market under sponsored data plans”,IEEE JSAC 2020 (CCF-A)
2,Y. Zhao, H, Su, L. Zhang, D. Wang, K. Xu, "Variety Matters: A New Model for the Wireless Data Market under Sponsored Data Plans", in Proc. of IEEE/ACM IWQoS 2019. (CCF-B)
3, Liang Zhang, Weijie Wu and Dan Wang, "TDS: Time-Dependent Sponsored Data Plan for Wireless Data Traffic Market", in Proc. of IEEE INFOCOM 2016. (CCF-A)
4, Liang Zhang, Weijie Wu and Dan Wang,"Sponsored Data Plan: A Two-Class Service Model in Wireless Data Networks", in Proc. of ACM SIGMETRICS 2015. (CCF-B, CORE* A)
5, Liang Zhang, Weijie Wu and Dan Wang, "Time Dependent Pricing in Wireless Data Networks: Flat-rates vs. Usage-based Schemes", in Proc. of IEEE INFOCOM, 2014 (CCF-A)
绿色智能楼宇
6, Z Zheng, F Wang, D Wang, L Zhang, "An Urban Mobility Model with Buildings Involved:
Bridging Theory to Practice", ACM TOSN 2020 (CCF-B)
7,Z. Zheng, F. Wang, D. Wang, and L. Zhang, "Buildings affect Mobile Pattens: Developing a new Urban Mobility Model", in Proc. of ACM Buildsys’18 (Best Paper Award)
8,L. Zhang, A. H. Lam and D. Wang, "Strategy proof Thermal Comfort Voting in Buildings,
in Proc. of ACM BuildSys’14
强化学习以及应用
9, D. Zhao, L. Zhang*, B. Zhang, L. Zheng, Y. Bao, W. Yan, "MaHRL: Multi-goals Abstraction based Deep Hierarchical Reinforcement Learning for Recommendations", in Proc. of ACM SIGIR 2020 (CCF-A)
10, Y. Su, L. Zhang*, Q. Dai, B. Zhang, J. Yan, S. Xu, D. Wang, Y. He, Y. Bao, and W. Yan, "An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click Calibration", in Proc. of IJCAI 2020 (CCF-A)
11, Y. Wang, L. Zhang(co-first author), Q. Dai, F. Sun, B. Zhang, Y. He, Y. Bao and W. Yan , "Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction", in Proc. of ACM CIKM 2019 (CCF-B)
12, X. Zhao, L. Xia, L. Zhang, Z. Ding, D. Yin, J. Tang, "Deep Reinforcement Learning for Page-wise Recommendations", in Proc. of ACM RecSys 2018 (CCF-B，高引论文270+)
13, X. Zhao, L. Zhang, Z. Ding, L. Xia, J. Tang, and D. Yin. "Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning". in Proc. of ACM SIGKDD 2018. (CCF-A，高引论文280+)
14,W. Lu, F. Chung, K. Lai, L. Zhang,"Recommender system based on scarce information mining", Neural Networks, 2017 (CCF-B)
15, Q Dai, X Shen, Z Zheng, L Zhang, Q Li, D Wang, "Adversarial training regularization for negative sampling based network embedding", Information Sciences 2021 (CCF-B)
16, Q. Dai, X. Shen, L. Zhang, Q. Li, D. Wang, "Adversarial Training Methods for Network Embedding", in Proc. of ACM WWW 2019 (CCF-A)
职务/职称
深圳市大数据研究院信息系统大数据实验室研究科学家/副研究员
研究方向
无线通信，物联网，人工智能的应用
电子邮箱
hangdavidli@sribd.cn
教育背景
博士，电子工程，德克萨斯农工大学，2016
硕士，通信与信息工程，北京航空航天大学，2001
学士，电子信息工程，北京航空航天大学，2008
主要成果/荣誉
第一届能源电子产业创新大赛关键信息技术赛道，无人机智能巡检赛“十强团队”（团队负责人），2023
深圳市海外高层次人才C类，2020
个人介绍
李航，于2016年8月在德克萨斯农工大学（Texas A&M University）获得电子工程博士学位，同年5月获得了德克萨斯农工大学梅斯（Mays）商学院颁发的企业管理证书。他博士期间的研究内容主要为基于可再生能源驱动的无线网络设计和优化。在2016年9月至2018年3月期间，他先后在德克萨斯农工大学和加州大学戴维斯分校（University of California-Davis）做博士后，研究内容主要包括网络、机器学习和大数据分析。从2018年4月至今，他先后成为深圳市大数据研究院的访问研究员、研究科学家，目前主要的研究方向涉及超高清图像与视频传输，无线感知，以及机器学习的应用。
目前，他参与发表的学术论文50余篇，15+发明专利，曾担任美国电子电器工程师协会（IEEE）旗下多个会议的技术委员会委员、审稿人，IEEE旗下多个专业期刊、杂志的审稿人，并有着指导博士生、硕士生进行课题选择、论文撰写的丰富经验。他于2020年3月被认定为深圳市海外高层次人才（C类），2020年8月被认定为深圳市龙岗区深龙英才（C类）。
代表性论文
1. Jiaxin Liu, Xiongyan Tang, Guangxu Zhu, Xinzhou Cheng, Liqiang Zhao, and Hang Li, ``Multi-feature traffic prediction based on signaling information for cellular networks,” IEEE Trans. Vehicular Technology, vol. 73, no. 2, pp. 2280-2291, Feb. 2024.
2. Shuai Ma, Weining Qiao, Youlong Wu, Hang Li, Guangming Shi, Dahua Gao, Yuanming Shi, Shiyin Li, and Naofal Al-Dhahir, ``Task-oriented explainable semantic communications,'' IEEE Trans. Wireless Commun., vol. 22, no. 12, pp. 9248-9262, Dec. 2023.
3. Xuemei Wang, Jiachen Wang, Hang Li, Xiaoyang Li, Chao Shen, and Guangxu Zhu, ``UKFWiTr: a single-link indoor tracking method based on WiFi CSI,'' IEEE Wireless Communications and Networking Conference (WCNC), Glasgow, UK, Mar. 26-29, 2023.
4. 陆彦辉，柳寒，李航，朱光旭，“基于多鉴别器生成对抗网络的时间序列生成模型”，通信学报，第43卷，第10期，第167-176页，2022年10月.
5. Man Chu, Hang Li, Xuewen Liao, and Shuguang Cui, “Reinforcement learning based multi-access control and battery prediction with energy harvesting in IoT systems,” IEEE Internet of Things J., vol. 6, no. 2, pp. 2009-2020, Apr. 2019.
职务/职称
深圳市大数据研究院信息系统大数据实验室研究科学家/副研究员
研究方向
无线通信，物联网，人工智能的应用
电子邮箱
hangdavidli@sribd.cn
教育背景
博士，电子工程，德克萨斯农工大学，2016
硕士，通信与信息工程，北京航空航天大学，2001
学士，电子信息工程，北京航空航天大学，2008
主要成果/荣誉
第一届能源电子产业创新大赛关键信息技术赛道，无人机智能巡检赛“十强团队”（团队负责人），2023
深圳市海外高层次人才C类，2020
个人介绍
李航，于2016年8月在德克萨斯农工大学（Texas A&M University）获得电子工程博士学位，同年5月获得了德克萨斯农工大学梅斯（Mays）商学院颁发的企业管理证书。他博士期间的研究内容主要为基于可再生能源驱动的无线网络设计和优化。在2016年9月至2018年3月期间，他先后在德克萨斯农工大学和加州大学戴维斯分校（University of California-Davis）做博士后，研究内容主要包括网络、机器学习和大数据分析。从2018年4月至今，他先后成为深圳市大数据研究院的访问研究员、研究科学家，目前主要的研究方向涉及超高清图像与视频传输，无线感知，以及机器学习的应用。
目前，他参与发表的学术论文50余篇，15+发明专利，曾担任美国电子电器工程师协会（IEEE）旗下多个会议的技术委员会委员、审稿人，IEEE旗下多个专业期刊、杂志的审稿人，并有着指导博士生、硕士生进行课题选择、论文撰写的丰富经验。他于2020年3月被认定为深圳市海外高层次人才（C类），2020年8月被认定为深圳市龙岗区深龙英才（C类）。
代表性论文
1. Jiaxin Liu, Xiongyan Tang, Guangxu Zhu, Xinzhou Cheng, Liqiang Zhao, and Hang Li, ``Multi-feature traffic prediction based on signaling information for cellular networks,” IEEE Trans. Vehicular Technology, vol. 73, no. 2, pp. 2280-2291, Feb. 2024.
2. Shuai Ma, Weining Qiao, Youlong Wu, Hang Li, Guangming Shi, Dahua Gao, Yuanming Shi, Shiyin Li, and Naofal Al-Dhahir, ``Task-oriented explainable semantic communications,'' IEEE Trans. Wireless Commun., vol. 22, no. 12, pp. 9248-9262, Dec. 2023.
3. Xuemei Wang, Jiachen Wang, Hang Li, Xiaoyang Li, Chao Shen, and Guangxu Zhu, ``UKFWiTr: a single-link indoor tracking method based on WiFi CSI,'' IEEE Wireless Communications and Networking Conference (WCNC), Glasgow, UK, Mar. 26-29, 2023.
4. 陆彦辉，柳寒，李航，朱光旭，“基于多鉴别器生成对抗网络的时间序列生成模型”，通信学报，第43卷，第10期，第167-176页，2022年10月.
5. Man Chu, Hang Li, Xuewen Liao, and Shuguang Cui, “Reinforcement learning based multi-access control and battery prediction with energy harvesting in IoT systems,” IEEE Internet of Things J., vol. 6, no. 2, pp. 2009-2020, Apr. 2019.
职务/职称
深圳市大数据研究院智慧城市/交通/物流大数据实验室主任、高级研究科学家
电子邮箱
lmzhang@sribd.cn
教育背景
香港中文大学博士
南京大学硕士
西北大学学士
个人介绍
张莲民博士现任深圳市大数据研究院智慧城市/交通/物流大数据实验室主任、高级研究科学家。曾任南京大学工程管理学院副教授。主要从事基于数据驱动的运营管理研究。已在Operations Research、Production and Operations Management、Naval Research Logistics、Decision Science、Transportation Research Part B、European Journal of Operational Research、Computers and Operational Research、International Journal of Production Research、Transportation Research Part E等国际SCI/SSCI期刊上发表学术论文40多篇。近年来，作为负责人主持国家自然科学基金项目2项，江苏省自然科学基金1项，并以主要人员参与国家级课题、政府及企业项目多项。2015年获得江苏省双创博士人才计划，2018年获得南京大学魅力导师称号，2020年南京大学工程管理学院学术成果奖，2021年获得深圳市海外高层次人才。现任中国物流学会理事、中国运筹学会排序分会理事、广东省运筹学会物流分会理事等。香港研究资助局(RGC)项目通讯评审专家。担任Operations Research等国际顶级期刊审稿人。曾在新加坡国立大学、香港大学、香港中文大学、香港科技大学、澳门大学等访问交流。与华为、招商局港口集团、中广核等大型企业开展项目合作研究。
个人网站
https://lianminzhang2021.github.io
代表性论文
Book Chapter
Scheduling with Stochastic Approaches. In Sequencing and Scheduling with Inaccurate Data, Editors: Yuri N. Sotskov and Frank Werner, Nova Science, 2013. (with X.Cai, X.Wu, X.Zhou)
Selected Journal Publication
[1] The Inventory Routing Problem under Uncertainty. Operations Research, 71(1), 378-395, 2023. (with Z.Cui, D.Long, J.Qi)
[2] Target-based Inventory Pooling Problem. Forthcoming at Production and Operations Management.(with Z.Cui, J.Ding, D. Long)
[3] Cost Sharing for Capacity Transfer in Cooperating Queueing Systems, Production and Operations Management, 27(4), 644-662, 2018.(with Y.Zeng, X.Cai, J.Li)
[4] Population Monotonic Allocation Schemes for the Two-Period Economic Lot-Sizing Games, Operations Research Letters. 51, 296-303，2023.(with Q.Jin, Y.Wu, Y.Zeng)
[5] Pricing Optimization under the Extended Nested Logit Model. Operations Research Letters. 51, 54-59，2023.(with L.Li, M.Li, H.Zhang)
[6] Store Brand Introduction in a Dual-Channel Supply Chain: The Roles of Quality Differentiation and Power Structure. OMEGA-The International Journal of Management Science. 116, 1-12, 102802, 2023.(with Y.Xiao, W.Niu, W.Xue)
[7] Pricing Optimization and Competition under the Linear Nested Stochastic Choice Model, Naval Research Logistics. 69(2), 201-222,2022. (with L.Li, M.Li, G.Ke)
[8] Target-oriented Location-transportation Problem with Service-level Measure. Transportation Research Part B: Methodological. 153, 1-20,2021. (with X.Wang, Y.Kuo, H.Shen)
[9] Optimal Purchasing Policy for Fresh Products from Multiple Supply Sources with Considerations of Random Delivery Times, Risk, and Information, Decision Sciences. 51(6), 1377-1410,2020.(with X.Xu, X.Cai)
[10] What Do Institutional Investors Bring to Initial Coin Offerings(ICOs)? Transportation Research Part E: Logistics and Transportation Review. Forthcoming. 2022.(with S.Wang, X.Cai, L.Guan)
[11] Target-based Parallel machine total weighted completion time. International Journal of Production Research. Forthcoming. 2022. (with Y.Li, Y.Kuo, R.Li, H.Shen)
[12] Demand Forecasts with Judgement Bias in a Newsvendor Problem. International Journal of Production Research. Forthcoming. 2022. (with Y.Zheng, J.Li, Q.Fu)
[13] Is Group-Buying Price Mechanism a Good Choice in the Business-to-Business Systems? International Transaction of Operations Research. 2022. (with L.Guan, W.Gu, W.Niu)
[14] The Value of the Physical Internet on the Meals-On-Wheel Delivery Systems, International Journal of Production Economics. Forthcoming. 2022. (with M.Lin, S.Lin, L.Ma)
[15] Power Structure and Decarbonizing Investment under Innovation Uncertainty: A Triple Bottom Line Analysis. Transportation Research Part E: Logistics and Transportation Review. Forthcoming. 2022. (with W.Niu, H.Shen)
[16] Optimal Group-buying Price Strategy Considering the Information Sharing of the Seller and Buyers in Social E-commerce. International Transaction of Operations Research. 29(3), 1769-1790, 2022.(with L.Guan, H.Chen, H.Ma)
[17] Target-based Distributionally Robust Optimization for Single Machine Scheduling. European Journal of Operational Research.299, 420-431, 2022. (with H.Lu, Z.Pei, Q.Jin)
[18] Balancing the Profit and Capacity under Uncertainties: A Target-based Distributionally Robust Knapsack Problem. International Transaction of Operations Research. 29(2), 760-782, 2022. (with J.Ding, L.Chen, G.Ke, Y.Li)
[19] Project Scheduling and Resources Allocation Based on Cooperative Games Theory, Annals of Operations Research. 301, 121-141, 2021.(with X.Lin, J. Zhou, Y.Zeng)
[20] Target-Based Project Crashing Problem by Adaptive Distributionally Robust Optimization, Computer and Industrial Engineering. 107160, 2021.(with Z.Cui, Y.Li, H.Shen)
[21] 3PL Firm’s Equity Financing for Technology Innovation in a Platform Supply Chain. Transportation Research Part E: Logistics and Transportation Review. 147, 102239, 1-20, 2021.(with H.Fu, G.Ke, Z.Lian)
[22] Revenue Sharing for Resource Transfer among Projects, Computer and Operations Research. 127, 105156, 1-14, 2021.(with X.Lin, X.Cai, J.Zhou, Y.Zeng)
[23] Who Is Better Off by Selling Extended Warranties in the Supply Chain: the Manufacturer, the Retailer, or Both? Annals of Operations Research. Forthcoming. 2021 (with L.Guan, D.Long, H.Shen, H.Tang)
[24] Single-Item Repairable Inventory System with New and Warranty Demand. Transportation Research Part E: Logistics and Transportation Review.142, 102035, 1-17, 2020. (with Y.Lin, J.Leung, J.Gu)
[25] Scheduling the Distribution of Perishable Products: A Vendor-managed Inventory Routing Approach. Transportation Research Part E: Logistics and Transportation Review. 140, 101964, 2020. (with W.Liu, G.Ke, J.Chen)
[26] Heterogeneous Suppliers’ Contract Design in Assembly Systems with Asymmetric Information. European Journal of Operational Research. 286, 140-163, 2020. (with Y.Lan, X.Cai, C.Shang, R.Zhao)
[27] Keep It or Give Back? Optimal Pricing Strategy of Reward-based Crowdfunding with Hybrid Mechanism, International Journal of Production Research. 58(22), 6868-6889, 2020.(with L.Guan, Y.Mu, X.Xu, J.Zhuang)
职务/职称
深圳市大数据研究院智慧城市/交通/物流大数据实验室主任、高级研究科学家
电子邮箱
lmzhang@sribd.cn
教育背景
香港中文大学博士
南京大学硕士
西北大学学士
个人介绍
张莲民博士现任深圳市大数据研究院智慧城市/交通/物流大数据实验室主任、高级研究科学家。曾任南京大学工程管理学院副教授。主要从事基于数据驱动的运营管理研究。已在Operations Research、Production and Operations Management、Naval Research Logistics、Decision Science、Transportation Research Part B、European Journal of Operational Research、Computers and Operational Research、International Journal of Production Research、Transportation Research Part E等国际SCI/SSCI期刊上发表学术论文40多篇。近年来，作为负责人主持国家自然科学基金项目2项，江苏省自然科学基金1项，并以主要人员参与国家级课题、政府及企业项目多项。2015年获得江苏省双创博士人才计划，2018年获得南京大学魅力导师称号，2020年南京大学工程管理学院学术成果奖，2021年获得深圳市海外高层次人才。现任中国物流学会理事、中国运筹学会排序分会理事、广东省运筹学会物流分会理事等。香港研究资助局(RGC)项目通讯评审专家。担任Operations Research等国际顶级期刊审稿人。曾在新加坡国立大学、香港大学、香港中文大学、香港科技大学、澳门大学等访问交流。与华为、招商局港口集团、中广核等大型企业开展项目合作研究。
个人网站
https://lianminzhang2021.github.io
代表性论文
Book Chapter
Scheduling with Stochastic Approaches. In Sequencing and Scheduling with Inaccurate Data, Editors: Yuri N. Sotskov and Frank Werner, Nova Science, 2013. (with X.Cai, X.Wu, X.Zhou)
Selected Journal Publication
[1] The Inventory Routing Problem under Uncertainty. Operations Research, 71(1), 378-395, 2023. (with Z.Cui, D.Long, J.Qi)
[2] Target-based Inventory Pooling Problem. Forthcoming at Production and Operations Management.(with Z.Cui, J.Ding, D. Long)
[3] Cost Sharing for Capacity Transfer in Cooperating Queueing Systems, Production and Operations Management, 27(4), 644-662, 2018.(with Y.Zeng, X.Cai, J.Li)
[4] Population Monotonic Allocation Schemes for the Two-Period Economic Lot-Sizing Games, Operations Research Letters. 51, 296-303，2023.(with Q.Jin, Y.Wu, Y.Zeng)
[5] Pricing Optimization under the Extended Nested Logit Model. Operations Research Letters. 51, 54-59，2023.(with L.Li, M.Li, H.Zhang)
[6] Store Brand Introduction in a Dual-Channel Supply Chain: The Roles of Quality Differentiation and Power Structure. OMEGA-The International Journal of Management Science. 116, 1-12, 102802, 2023.(with Y.Xiao, W.Niu, W.Xue)
[7] Pricing Optimization and Competition under the Linear Nested Stochastic Choice Model, Naval Research Logistics. 69(2), 201-222,2022. (with L.Li, M.Li, G.Ke)
[8] Target-oriented Location-transportation Problem with Service-level Measure. Transportation Research Part B: Methodological. 153, 1-20,2021. (with X.Wang, Y.Kuo, H.Shen)
[9] Optimal Purchasing Policy for Fresh Products from Multiple Supply Sources with Considerations of Random Delivery Times, Risk, and Information, Decision Sciences. 51(6), 1377-1410,2020.(with X.Xu, X.Cai)
[10] What Do Institutional Investors Bring to Initial Coin Offerings(ICOs)? Transportation Research Part E: Logistics and Transportation Review. Forthcoming. 2022.(with S.Wang, X.Cai, L.Guan)
[11] Target-based Parallel machine total weighted completion time. International Journal of Production Research. Forthcoming. 2022. (with Y.Li, Y.Kuo, R.Li, H.Shen)
[12] Demand Forecasts with Judgement Bias in a Newsvendor Problem. International Journal of Production Research. Forthcoming. 2022. (with Y.Zheng, J.Li, Q.Fu)
[13] Is Group-Buying Price Mechanism a Good Choice in the Business-to-Business Systems? International Transaction of Operations Research. 2022. (with L.Guan, W.Gu, W.Niu)
[14] The Value of the Physical Internet on the Meals-On-Wheel Delivery Systems, International Journal of Production Economics. Forthcoming. 2022. (with M.Lin, S.Lin, L.Ma)
[15] Power Structure and Decarbonizing Investment under Innovation Uncertainty: A Triple Bottom Line Analysis. Transportation Research Part E: Logistics and Transportation Review. Forthcoming. 2022. (with W.Niu, H.Shen)
[16] Optimal Group-buying Price Strategy Considering the Information Sharing of the Seller and Buyers in Social E-commerce. International Transaction of Operations Research. 29(3), 1769-1790, 2022.(with L.Guan, H.Chen, H.Ma)
[17] Target-based Distributionally Robust Optimization for Single Machine Scheduling. European Journal of Operational Research.299, 420-431, 2022. (with H.Lu, Z.Pei, Q.Jin)
[18] Balancing the Profit and Capacity under Uncertainties: A Target-based Distributionally Robust Knapsack Problem. International Transaction of Operations Research. 29(2), 760-782, 2022. (with J.Ding, L.Chen, G.Ke, Y.Li)
[19] Project Scheduling and Resources Allocation Based on Cooperative Games Theory, Annals of Operations Research. 301, 121-141, 2021.(with X.Lin, J. Zhou, Y.Zeng)
[20] Target-Based Project Crashing Problem by Adaptive Distributionally Robust Optimization, Computer and Industrial Engineering. 107160, 2021.(with Z.Cui, Y.Li, H.Shen)
[21] 3PL Firm’s Equity Financing for Technology Innovation in a Platform Supply Chain. Transportation Research Part E: Logistics and Transportation Review. 147, 102239, 1-20, 2021.(with H.Fu, G.Ke, Z.Lian)
[22] Revenue Sharing for Resource Transfer among Projects, Computer and Operations Research. 127, 105156, 1-14, 2021.(with X.Lin, X.Cai, J.Zhou, Y.Zeng)
[23] Who Is Better Off by Selling Extended Warranties in the Supply Chain: the Manufacturer, the Retailer, or Both? Annals of Operations Research. Forthcoming. 2021 (with L.Guan, D.Long, H.Shen, H.Tang)
[24] Single-Item Repairable Inventory System with New and Warranty Demand. Transportation Research Part E: Logistics and Transportation Review.142, 102035, 1-17, 2020. (with Y.Lin, J.Leung, J.Gu)
[25] Scheduling the Distribution of Perishable Products: A Vendor-managed Inventory Routing Approach. Transportation Research Part E: Logistics and Transportation Review. 140, 101964, 2020. (with W.Liu, G.Ke, J.Chen)
[26] Heterogeneous Suppliers’ Contract Design in Assembly Systems with Asymmetric Information. European Journal of Operational Research. 286, 140-163, 2020. (with Y.Lan, X.Cai, C.Shang, R.Zhao)
[27] Keep It or Give Back? Optimal Pricing Strategy of Reward-based Crowdfunding with Hybrid Mechanism, International Journal of Production Research. 58(22), 6868-6889, 2020.(with L.Guan, Y.Mu, X.Xu, J.Zhuang)
职务/职称
高级开发工程师
研究方向
通信系统
电子邮箱
chenaijun@sribd.cn
教育背景
1993.9~1997.7 西安交通大学无线电技术专业
个人介绍
陈爱军，无线通信专家，在电信设备制造企业从事无线产品研发工作二十多年，从2G、3G、4G产品一直做到5G产品，对通信系统有全面的认识和理解。从客户端、终端、基站、传输、核心网到服务器，熟悉通信系统端到端组网。从物理层、链路层、网络层、传输层到应用层，了解各层通信协议。对网页流量、网络视频、手机游戏等业务行为进行过深入研究，擅长用户体验类问题定位。2010年开始在C114通信人家园论坛发布“深入浅出通信原理”原创连载，以图文并茂的形式分享自己对通信原理的理解，迄今为止访问量已经超过1300万人次。2018年写成《深入浅出通信原理》一书，由清华大学出版社出版，受到在校师生和业内人士的好评。
职务/职称
高级开发工程师
研究方向
通信系统
电子邮箱
chenaijun@sribd.cn
教育背景
1993.9~1997.7 西安交通大学无线电技术专业
个人介绍
陈爱军，无线通信专家，在电信设备制造企业从事无线产品研发工作二十多年，从2G、3G、4G产品一直做到5G产品，对通信系统有全面的认识和理解。从客户端、终端、基站、传输、核心网到服务器，熟悉通信系统端到端组网。从物理层、链路层、网络层、传输层到应用层，了解各层通信协议。对网页流量、网络视频、手机游戏等业务行为进行过深入研究，擅长用户体验类问题定位。2010年开始在C114通信人家园论坛发布“深入浅出通信原理”原创连载，以图文并茂的形式分享自己对通信原理的理解，迄今为止访问量已经超过1300万人次。2018年写成《深入浅出通信原理》一书，由清华大学出版社出版，受到在校师生和业内人士的好评。
