Qianqian Yang is currently a PhD candidate within the department of Electrical and Electronic Engineering at Imperial College London. She received a Master degree in Control Engineering from Zhejiang University, China, in 2014 and a Bachelor degree in Control Science from Chongqing University in 2013. Her current research interests include network caching, optimization problem in wireless sensor network and D2D communication system.
You can follow her publications and citations on the Google Scholar page.
Below is a list of her publications.
Publications
Journals
→ Q. Yang, M. Mohammadi Amiri, D. Gunduz, Audience-retention-rate-aware caching and coded video delivery with asynchronous demands, submitted for publication, Aug. 2018.
→ Q. Yang, D. Gunduz, Coded caching and content delivery with heterogeneous distortion requirements, Transactions on Information Theory, to appear.
→ M. Mohammadi Amiri, Q. Yang, D. Gunduz, Decentralized caching and coded delivery with distinct cache capacities, IEEE Transactions on Communicatoins, vol. 65, no. 11, pp. 4657-4669, Nov. 2017.
→ Q. Yang, S. He, J. Li, J. Chen, Y. Sun, Energy-Efficient Probabilistic Area Coverage in Wireless Sensor Networks, Transactions on Vehicular Technology, vol. 63, no. 1, pp. 367-377, Jan. 2014.
Conferences
→ Q. Yang, P. Hassanzadeh, D. Gunduz, and E. Erkip Centralized Caching and Delivery of Correlated Contents over Gaussian Broadcast Channels, submitted, 2018
→ Q. Yang and D. Gunduz, Centralized coded caching of correlated contents, IEEE International Conference on Communication (ICC), Kansas City, US, MAy. 2018.
→ Q. Yang, P. Piantanida, and D. Gunduz, The multi-layer information bottleneck problem, IEEE Information Theory Workshop (ITW), Taiwan, China, Nov. 2017.
→ Q. Yang, M. Mohammadi Amiri, and D. Gunduz, Audience retention rate aware coded video caching, IEEE International Conference on Communication (ICC), Paris, France, MAy 2017.
→ M. Mohammadi Amiri, Q. Yang, and D. Gunduz, Decentralized coded caching with distinct cache capacities, Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, Nov. 2016.
→ Q. Yang and D. Gunduz, Centralized Coded Caching for Heterogeneous Lossy Requests, IEEE International Symposium on Information Theory (ISIT), Barcelona, Spain, pp. 405-409, July. 2016.
→ M. Mohammadi Amiri, Q. Yang, and D. Gunduz, Coded caching for a large number of users, IEEE Information Theory Workshop (ITW), Cambridge, UK, pp. 171-175, Sep. 2016.
→ Q. Yang and D. Gunduz, Variable-Power Scheduling for Perpetual Target Coverage in Rechargeable Wireless Sensor Networks, The International Symposium on Wireless Communication Systems (ISWCS), Brussels, Belgium, Aug. 2015.
→ Q. Yang, S. He, J. Li, J. Chen, and Y. Sun, Energy-Efficient Probabilistic Full Coverage in Wireless Sensor Networks, IEEE Global Communications Conference (GLOBECOM), Anaheim, CA, pp. 591-596, Dec. 2012.
→ Q. Yang, S. He, and J. Chen, Energy-Efficient Area Coverage in Bistatic Radar Sensor Networks, IEEE Global Communications Conference (GLOBECOM), Atlanda, GA, pp. 280-285, Dec. 2013.
→ R. Wang, Q. Yang, S. He, and J. Chen, Towards optimal barrier coverage in wireless sensor and actor networks, IEEE Global Communications Conference (GLOBECOM), Austin, TX, pp. 131-136, Dec. 2014.
