POSITION/TITLE
Research Scientist
EDUCATION BACKGROUND
Hongkong University of Science and Technology Electronic and Computer Engineering Ph.D.
Xi’an Jiaotong University Information Engineering Bachelor's degree
schai@sribd.cn
RESEARCH FIELD
Wireless communication and networks, Reinforcement learning, UAV communication
MAJOR ACHIEVEMENTS/HONORS
2014-Hongkong Ph.D. Fellowship
BIOGRAPHY
Shuqi Chai received the B.Eng. degree in electronic and information engineering from Xi’an Jiaotong University, and she received the Ph.D. degree in electronic and computer engineering from Hongkong University of Science and Technology in Jan 2022. She is currently a Research Scientist with the Shenzhen Research Institute of Big Data. Her research interests include MDP, dynamic programming, reinforcement learning in wireless communication systems, UAV trajectory and communication design.
ACADEMIC PUBLICATIONS
1.Shuqi Chai, Vincent Lau, "Joint Rate and Power Optimization for Multimedia Streaming in Wireless Fading Channels via Parametric Policy Gradient", IEEE Transactions on Signal Processing, accepted.
2.Shuqi Chai, Vincent Lau "Online Trajectory and Radio Resource Optimization of Cached-Enabled UAV Wireless Networks with Content and Energy Recharging", IEEE Transactions on Signal Processing, accepted.
3.Shuqi Chai, Vincent Lau "Multi-UAV Trajectory and Power Optimization for Cached UAV Wireless Networks with Energy and Content Recharging - Demand Driven Deep Learning Approach" , IEEE JSAC SI-UAV-B5G 2021, accepted.
4.Shuqi Chai, Vincent Lau "Mixed-Timescale Request-Driven User Association, Trajectory and Radio Resource Control for Cache-Enabled Multi-UAV Networks", IEEE Transactions on Signal Processing, accepted.
5.Shuqi Chai, Vincent Lau "Online Trajectory and Radio Resource Optimization for Cache-enabled Multi-UAV Networks", IEEE ICC'21, accepted.
POSITION/TITLE
Research Scientist
EDUCATION BACKGROUND
Hongkong University of Science and Technology Electronic and Computer Engineering Ph.D.
Xi’an Jiaotong University Information Engineering Bachelor's degree
schai@sribd.cn
RESEARCH FIELD
Wireless communication and networks, Reinforcement learning, UAV communication
MAJOR ACHIEVEMENTS/HONORS
2014-Hongkong Ph.D. Fellowship
BIOGRAPHY
Shuqi Chai received the B.Eng. degree in electronic and information engineering from Xi’an Jiaotong University, and she received the Ph.D. degree in electronic and computer engineering from Hongkong University of Science and Technology in Jan 2022. She is currently a Research Scientist with the Shenzhen Research Institute of Big Data. Her research interests include MDP, dynamic programming, reinforcement learning in wireless communication systems, UAV trajectory and communication design.
ACADEMIC PUBLICATIONS
1.Shuqi Chai, Vincent Lau, "Joint Rate and Power Optimization for Multimedia Streaming in Wireless Fading Channels via Parametric Policy Gradient", IEEE Transactions on Signal Processing, accepted.
2.Shuqi Chai, Vincent Lau "Online Trajectory and Radio Resource Optimization of Cached-Enabled UAV Wireless Networks with Content and Energy Recharging", IEEE Transactions on Signal Processing, accepted.
3.Shuqi Chai, Vincent Lau "Multi-UAV Trajectory and Power Optimization for Cached UAV Wireless Networks with Energy and Content Recharging - Demand Driven Deep Learning Approach" , IEEE JSAC SI-UAV-B5G 2021, accepted.
4.Shuqi Chai, Vincent Lau "Mixed-Timescale Request-Driven User Association, Trajectory and Radio Resource Control for Cache-Enabled Multi-UAV Networks", IEEE Transactions on Signal Processing, accepted.
5.Shuqi Chai, Vincent Lau "Online Trajectory and Radio Resource Optimization for Cache-enabled Multi-UAV Networks", IEEE ICC'21, accepted.
POSITION/TITLE
Research Scientist
EDUCATION BACKGROUND
Ph.D. Information Engineering, The Chinese University of Hong Kong
B.Eng. Electronics and Information Engineering, Beijing University of Posts and Telecommunications
yichen@cuhk.edu.cn
RESEARCH FIELD
Resource optimization for wireless communications, network routing and traffic engineering, reinforcement learning
Achievements/Honors
Selected as Shenzhen Overseas High-Level Talents
Best Paper Award at the 2016 IEEE/IET CSNDSP Conference
BIOGRAPHY
Dr. Chen received her B.Eng. degree from the Department of Electronic and Information Engineering, Beijing University of Posts and Telecommunications in 2007, and her Ph.D. degree from the Department of Information Engineering, The Chinese University of Hong Kong in 2012. From 2012 to 2015, she worked as a postdoctoral researcher in the Department of Electronic Engineering, City University of Hong Kong. She has been with Shenzhen Research Institute of Big Data since 2016.Dr. Chen's research area focuses on communication networks and information systems. She has carried out several works in the fields of network optimization, information theory, control theory and machine learning. She has published more than thirty papers in international journals and conferences, such as IEEE Transactions on Information Theory, IEEE Transactions on Wireless Communications, IEEE Transaction on Communications, etc. She, as the first author, received the Best Paper Award in IEEE/IET CSNDSP 2016. Besides, Dr. Chen was selected as one of the Shenzhen Overseas High-Level Talents, and she has led one NSFC youth project and one Shenzhen fundamental research project, and is participating in National Key R&D Program project.
ACADEMIC PUBLICATIONS
1. X. Zhang, Y. Chen, X. Sun, G. Zhu, T. Q. Quek and Z. Zhang “UplinkDownlink Duality of MultiCell Nonorthogonal Multiple Access Systems,” to be appear in IEEE Transactions on Wireless Communications.
2. C. W. Sung, Y. Chen and Y. Gu, “Distributed Dual Optimization for the Uplink of MultiCell NOMA,” IEEE Transactions on Communications, vol. 69, no. 5, pp. 31353146, May 2021.
3. Y. Zhang, Y. Chen, Y. Luo, and W. S. Wong, “Achieving zeropacketloss throughput 1 for a collision channel without feedback and with arbitrary time offsets”, IEEE Transactions on Information Theory, vol. 66. no. 4, April 2020
4. Y. Chen and C. W. Sung, “Characterization of SINR region for multiple interfering multicast in powercontrolled systems,” IEEE Transactions on Communication, vol. 67, no. 1, pp. 165175, Jan. 2019.
5. Y. Chen, Y.H. Lo, K. W. Shum, W. S. Wong, and Y. Zhang, “CRT sequences with applications to collision channels allowing successive interference cancellation,” IEEE Transactions on Information Theory, vol. 64, no. 4, pp. 2910 2923, April 2018.
POSITION/TITLE
Research Scientist
EDUCATION BACKGROUND
Ph.D. Information Engineering, The Chinese University of Hong Kong
B.Eng. Electronics and Information Engineering, Beijing University of Posts and Telecommunications
yichen@cuhk.edu.cn
RESEARCH FIELD
Resource optimization for wireless communications, network routing and traffic engineering, reinforcement learning
Achievements/Honors
Selected as Shenzhen Overseas High-Level Talents
Best Paper Award at the 2016 IEEE/IET CSNDSP Conference
BIOGRAPHY
Dr. Chen received her B.Eng. degree from the Department of Electronic and Information Engineering, Beijing University of Posts and Telecommunications in 2007, and her Ph.D. degree from the Department of Information Engineering, The Chinese University of Hong Kong in 2012. From 2012 to 2015, she worked as a postdoctoral researcher in the Department of Electronic Engineering, City University of Hong Kong. She has been with Shenzhen Research Institute of Big Data since 2016.Dr. Chen's research area focuses on communication networks and information systems. She has carried out several works in the fields of network optimization, information theory, control theory and machine learning. She has published more than thirty papers in international journals and conferences, such as IEEE Transactions on Information Theory, IEEE Transactions on Wireless Communications, IEEE Transaction on Communications, etc. She, as the first author, received the Best Paper Award in IEEE/IET CSNDSP 2016. Besides, Dr. Chen was selected as one of the Shenzhen Overseas High-Level Talents, and she has led one NSFC youth project and one Shenzhen fundamental research project, and is participating in National Key R&D Program project.
ACADEMIC PUBLICATIONS
1. X. Zhang, Y. Chen, X. Sun, G. Zhu, T. Q. Quek and Z. Zhang “UplinkDownlink Duality of MultiCell Nonorthogonal Multiple Access Systems,” to be appear in IEEE Transactions on Wireless Communications.
2. C. W. Sung, Y. Chen and Y. Gu, “Distributed Dual Optimization for the Uplink of MultiCell NOMA,” IEEE Transactions on Communications, vol. 69, no. 5, pp. 31353146, May 2021.
3. Y. Zhang, Y. Chen, Y. Luo, and W. S. Wong, “Achieving zeropacketloss throughput 1 for a collision channel without feedback and with arbitrary time offsets”, IEEE Transactions on Information Theory, vol. 66. no. 4, April 2020
4. Y. Chen and C. W. Sung, “Characterization of SINR region for multiple interfering multicast in powercontrolled systems,” IEEE Transactions on Communication, vol. 67, no. 1, pp. 165175, Jan. 2019.
5. Y. Chen, Y.H. Lo, K. W. Shum, W. S. Wong, and Y. Zhang, “CRT sequences with applications to collision channels allowing successive interference cancellation,” IEEE Transactions on Information Theory, vol. 64, no. 4, pp. 2910 2923, April 2018.
POSITION/TITLE
Research Scientist
EDUCATION BACKGROUND
Ph.D. Information Engineering, The Chinese University of Hong Kong
B.Eng. Electronics and Information Engineering, Beijing University of Posts and Telecommunications
yichen@cuhk.edu.cn
RESEARCH FIELD
Resource optimization for wireless communications, network routing and traffic engineering, reinforcement learning
Achievements/Honors
Selected as Shenzhen Overseas High-Level Talents
Best Paper Award at the 2016 IEEE/IET CSNDSP Conference
BIOGRAPHY
Dr. Chen received her B.Eng. degree from the Department of Electronic and Information Engineering, Beijing University of Posts and Telecommunications in 2007, and her Ph.D. degree from the Department of Information Engineering, The Chinese University of Hong Kong in 2012. From 2012 to 2015, she worked as a postdoctoral researcher in the Department of Electronic Engineering, City University of Hong Kong. She has been with Shenzhen Research Institute of Big Data since 2016.Dr. Chen's research area focuses on communication networks and information systems. She has carried out several works in the fields of network optimization, information theory, control theory and machine learning. She has published more than thirty papers in international journals and conferences, such as IEEE Transactions on Information Theory, IEEE Transactions on Wireless Communications, IEEE Transaction on Communications, etc. She, as the first author, received the Best Paper Award in IEEE/IET CSNDSP 2016. Besides, Dr. Chen was selected as one of the Shenzhen Overseas High-Level Talents, and she has led one NSFC youth project and one Shenzhen fundamental research project, and is participating in National Key R&D Program project.
ACADEMIC PUBLICATIONS
1. X. Zhang, Y. Chen, X. Sun, G. Zhu, T. Q. Quek and Z. Zhang “UplinkDownlink Duality of MultiCell Nonorthogonal Multiple Access Systems,” to be appear in IEEE Transactions on Wireless Communications.
2. C. W. Sung, Y. Chen and Y. Gu, “Distributed Dual Optimization for the Uplink of MultiCell NOMA,” IEEE Transactions on Communications, vol. 69, no. 5, pp. 31353146, May 2021.
3. Y. Zhang, Y. Chen, Y. Luo, and W. S. Wong, “Achieving zeropacketloss throughput 1 for a collision channel without feedback and with arbitrary time offsets”, IEEE Transactions on Information Theory, vol. 66. no. 4, April 2020
4. Y. Chen and C. W. Sung, “Characterization of SINR region for multiple interfering multicast in powercontrolled systems,” IEEE Transactions on Communication, vol. 67, no. 1, pp. 165175, Jan. 2019.
5. Y. Chen, Y.H. Lo, K. W. Shum, W. S. Wong, and Y. Zhang, “CRT sequences with applications to collision channels allowing successive interference cancellation,” IEEE Transactions on Information Theory, vol. 64, no. 4, pp. 2910 2923, April 2018.
POSITION/TITLE
Research Scientist
EDUCATION BACKGROUND
Ph.D. Information Engineering, The Chinese University of Hong Kong
B.Eng. Electronics and Information Engineering, Beijing University of Posts and Telecommunications
yichen@cuhk.edu.cn
RESEARCH FIELD
Resource optimization for wireless communications, network routing and traffic engineering, reinforcement learning
Achievements/Honors
Selected as Shenzhen Overseas High-Level Talents
Best Paper Award at the 2016 IEEE/IET CSNDSP Conference
BIOGRAPHY
Dr. Chen received her B.Eng. degree from the Department of Electronic and Information Engineering, Beijing University of Posts and Telecommunications in 2007, and her Ph.D. degree from the Department of Information Engineering, The Chinese University of Hong Kong in 2012. From 2012 to 2015, she worked as a postdoctoral researcher in the Department of Electronic Engineering, City University of Hong Kong. She has been with Shenzhen Research Institute of Big Data since 2016.Dr. Chen's research area focuses on communication networks and information systems. She has carried out several works in the fields of network optimization, information theory, control theory and machine learning. She has published more than thirty papers in international journals and conferences, such as IEEE Transactions on Information Theory, IEEE Transactions on Wireless Communications, IEEE Transaction on Communications, etc. She, as the first author, received the Best Paper Award in IEEE/IET CSNDSP 2016. Besides, Dr. Chen was selected as one of the Shenzhen Overseas High-Level Talents, and she has led one NSFC youth project and one Shenzhen fundamental research project, and is participating in National Key R&D Program project.
ACADEMIC PUBLICATIONS
1. X. Zhang, Y. Chen, X. Sun, G. Zhu, T. Q. Quek and Z. Zhang “UplinkDownlink Duality of MultiCell Nonorthogonal Multiple Access Systems,” to be appear in IEEE Transactions on Wireless Communications.
2. C. W. Sung, Y. Chen and Y. Gu, “Distributed Dual Optimization for the Uplink of MultiCell NOMA,” IEEE Transactions on Communications, vol. 69, no. 5, pp. 31353146, May 2021.
3. Y. Zhang, Y. Chen, Y. Luo, and W. S. Wong, “Achieving zeropacketloss throughput 1 for a collision channel without feedback and with arbitrary time offsets”, IEEE Transactions on Information Theory, vol. 66. no. 4, April 2020
4. Y. Chen and C. W. Sung, “Characterization of SINR region for multiple interfering multicast in powercontrolled systems,” IEEE Transactions on Communication, vol. 67, no. 1, pp. 165175, Jan. 2019.
5. Y. Chen, Y.H. Lo, K. W. Shum, W. S. Wong, and Y. Zhang, “CRT sequences with applications to collision channels allowing successive interference cancellation,” IEEE Transactions on Information Theory, vol. 64, no. 4, pp. 2910 2923, April 2018.
POSITION/TITLE
SRIBD Research Scientist
RESEARCH FIELD
Statistical Signal Processing, Optimization Algorithms
rui.zhou@sribd.cn
EDUCATION BACKGROUND
Doctor of Philosophy (Hong Kong University of Science and Technology)
Bachelor of Engineering (Southeast University)
BIOGRAPHY
Dr. Rui Zhou received the B.Eng. degree in information engineering from Southeast University, Nanjing, China, in 2017, and the Ph.D. degree from the Hong Kong University of Science and Technology, Hong Kong, in 2021. He is currently a Research Scientist with Shenzhen Research Institute of Big Data, Shenzhen, China. His research interests include optimization algorithms, statistical signal processing, machine learning, and financial engineering.
ACADEMIC PUBLICATIONS
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.
POSITION/TITLE
SRIBD Research Scientist
RESEARCH FIELD
Statistical Signal Processing, Optimization Algorithms
rui.zhou@sribd.cn
EDUCATION BACKGROUND
Doctor of Philosophy (Hong Kong University of Science and Technology)
Bachelor of Engineering (Southeast University)
BIOGRAPHY
Dr. Rui Zhou received the B.Eng. degree in information engineering from Southeast University, Nanjing, China, in 2017, and the Ph.D. degree from the Hong Kong University of Science and Technology, Hong Kong, in 2021. He is currently a Research Scientist with Shenzhen Research Institute of Big Data, Shenzhen, China. His research interests include optimization algorithms, statistical signal processing, machine learning, and financial engineering.
ACADEMIC PUBLICATIONS
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.
POSITION/TITLE
SRIBD Research Scientist
RESEARCH FIELD
Statistical Signal Processing, Optimization Algorithms
rui.zhou@sribd.cn
EDUCATION BACKGROUND
Doctor of Philosophy (Hong Kong University of Science and Technology)
Bachelor of Engineering (Southeast University)
BIOGRAPHY
Dr. Rui Zhou received the B.Eng. degree in information engineering from Southeast University, Nanjing, China, in 2017, and the Ph.D. degree from the Hong Kong University of Science and Technology, Hong Kong, in 2021. He is currently a Research Scientist with Shenzhen Research Institute of Big Data, Shenzhen, China. His research interests include optimization algorithms, statistical signal processing, machine learning, and financial engineering.
ACADEMIC PUBLICATIONS
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.
POSITION/TITLE
SRIBD Research Scientist
RESEARCH FIELD
Statistical Signal Processing, Optimization Algorithms
rui.zhou@sribd.cn
EDUCATION BACKGROUND
Doctor of Philosophy (Hong Kong University of Science and Technology)
Bachelor of Engineering (Southeast University)
BIOGRAPHY
Dr. Rui Zhou received the B.Eng. degree in information engineering from Southeast University, Nanjing, China, in 2017, and the Ph.D. degree from the Hong Kong University of Science and Technology, Hong Kong, in 2021. He is currently a Research Scientist with Shenzhen Research Institute of Big Data, Shenzhen, China. His research interests include optimization algorithms, statistical signal processing, machine learning, and financial engineering.
ACADEMIC PUBLICATIONS
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.
POSITION/TITLE
Research Scientist / Research Associate
RESEARCH FIELD
Crowd Intelligence, Edge Learning, Integrated Sensing and Communication, Over-the-air Computation, Wireless Power Transfer
lixiaoyang@sribd.cn
PERSONAL WEBSITE
https://xiaoyang0118.github.io/
EDUCATION BACKGROUND
PhD degree from The University of Hong Kong
Bachelor degree from Southern University of Science and Technology
BIOGRAPHY
Dr. Xiaoyang Li obtained his PhD degree from The University of Hong Kong at 2020, and Bachelor degree from Southern University of Science and Technology (SUSTech) at 2016. From 2020 to 2022, he has served as the Presidential Distinguished Research Fellow in SUSTech. He has published more than 20 papers on top journals and conferences, and applied more than 10 patents. He has been in charge of projects from National Natural Science Foundation of China, Shenzhen Natural Science Foundation, China Postdoctoral Science Foundation, and China Academy of Information and Communication Technology. He has been elected as the Forbes 30 under 30, Guangdong Overseas Youth Talent, and Shenzhen Overseas High-caliber Personnel.
ACADEMIC PUBLICATIONS
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, vol. 22, no. 2, pp. 1314-1327, 2023.
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.
POSITION/TITLE
Research Scientist / Research Associate
RESEARCH FIELD
Crowd Intelligence, Edge Learning, Integrated Sensing and Communication, Over-the-air Computation, Wireless Power Transfer
lixiaoyang@sribd.cn
PERSONAL WEBSITE
https://xiaoyang0118.github.io/
EDUCATION BACKGROUND
PhD degree from The University of Hong Kong
Bachelor degree from Southern University of Science and Technology
BIOGRAPHY
Dr. Xiaoyang Li obtained his PhD degree from The University of Hong Kong at 2020, and Bachelor degree from Southern University of Science and Technology (SUSTech) at 2016. From 2020 to 2022, he has served as the Presidential Distinguished Research Fellow in SUSTech. He has published more than 20 papers on top journals and conferences, and applied more than 10 patents. He has been in charge of projects from National Natural Science Foundation of China, Shenzhen Natural Science Foundation, China Postdoctoral Science Foundation, and China Academy of Information and Communication Technology. He has been elected as the Forbes 30 under 30, Guangdong Overseas Youth Talent, and Shenzhen Overseas High-caliber Personnel.
ACADEMIC PUBLICATIONS
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, vol. 22, no. 2, pp. 1314-1327, 2023.
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.
POSITION/TITLE
Research Scientist / Research Associate
RESEARCH FIELD
Crowd Intelligence, Edge Learning, Integrated Sensing and Communication, Over-the-air Computation, Wireless Power Transfer
lixiaoyang@sribd.cn
PERSONAL WEBSITE
https://xiaoyang0118.github.io/
EDUCATION BACKGROUND
PhD degree from The University of Hong Kong
Bachelor degree from Southern University of Science and Technology
BIOGRAPHY
Dr. Xiaoyang Li obtained his PhD degree from The University of Hong Kong at 2020, and Bachelor degree from Southern University of Science and Technology (SUSTech) at 2016. From 2020 to 2022, he has served as the Presidential Distinguished Research Fellow in SUSTech. He has published more than 20 papers on top journals and conferences, and applied more than 10 patents. He has been in charge of projects from National Natural Science Foundation of China, Shenzhen Natural Science Foundation, China Postdoctoral Science Foundation, and China Academy of Information and Communication Technology. He has been elected as the Forbes 30 under 30, Guangdong Overseas Youth Talent, and Shenzhen Overseas High-caliber Personnel.
ACADEMIC PUBLICATIONS
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, vol. 22, no. 2, pp. 1314-1327, 2023.
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.
POSITION/TITLE
Research Scientist / Research Associate
RESEARCH FIELD
Crowd Intelligence, Edge Learning, Integrated Sensing and Communication, Over-the-air Computation, Wireless Power Transfer
lixiaoyang@sribd.cn
PERSONAL WEBSITE
https://xiaoyang0118.github.io/
EDUCATION BACKGROUND
PhD degree from The University of Hong Kong
Bachelor degree from Southern University of Science and Technology
BIOGRAPHY
Dr. Xiaoyang Li obtained his PhD degree from The University of Hong Kong at 2020, and Bachelor degree from Southern University of Science and Technology (SUSTech) at 2016. From 2020 to 2022, he has served as the Presidential Distinguished Research Fellow in SUSTech. He has published more than 20 papers on top journals and conferences, and applied more than 10 patents. He has been in charge of projects from National Natural Science Foundation of China, Shenzhen Natural Science Foundation, China Postdoctoral Science Foundation, and China Academy of Information and Communication Technology. He has been elected as the Forbes 30 under 30, Guangdong Overseas Youth Talent, and Shenzhen Overseas High-caliber Personnel.
ACADEMIC PUBLICATIONS
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, vol. 22, no. 2, pp. 1314-1327, 2023.
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.
POSITION/TITLE
SRIBD Research Scientist
RESEARCH FIELD
Convex and nonconvex optimization
zhaolicheng@sribd.cn
EDUCATION BACKGROUND
2018.11.15 phd
2014.06.30 bachelor
BIOGRAPHY
Licheng Zhao received the B.S. degree in Information Engineering from Southeast University (SEU), Nanjing, China, in 2014, and the Ph.D. degree with the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology (HKUST), in 2018. Since June 2018, he has been an algorithm engineer in recommendation system with JD.COM, China. Since Dec. 2021, he has served as a research scientist in Shenzhen Research Institute of Big Data (SRIBD). His research interests are in optimization theory and efficient algorithms, with applications in signal processing, machine learning, and deep learning in recommendation system.
ACADEMIC PUBLICATIONS
Licheng Zhao, Yiwei Wang, Sandeep Kumar, and Daniel P. Palomar, “Optimization Algorithms for Graph Laplacian Estimation via ADMM and MM,” IEEE Trans. on Signal Processing, vol. 67, no. 16, pp. 4231-4244, Aug. 2019.
Licheng Zhao and Daniel P. Palomar, “A Markowitz Portfolio Approach to Options Trading,” IEEE Trans. on Signal Processing, vol. 66, no. 16, pp. 4223-4238, Aug. 2018.
Licheng Zhao and Daniel P. Palomar, “Maximin Joint Optimization of Transmitting Code and Receiving Filter in Radar and Communications,” IEEE Trans. on Signal Processing, vol. 65, no. 4, pp. 850-863, Feb. 2017.
Licheng Zhao, Junxiao Song, Prabu Babu, and Daniel P. Palomar, “A Unified Framework for Low Autocorrelation Sequence Design via Majorization-Minimization,” IEEE Trans. on Signal Processing, vol. 65, no. 2, pp. 438-453, Jan. 2017.
Licheng Zhao, Prabhu Babu, and Daniel P. Palomar, “Efficient Algorithms on Robust Low-Rank Matrix Completion Against Outliers,” IEEE Trans. on Signal Processing, vol. 64, no. 18, pp. 4767- 4780, Sept. 2016.
