Dejun Yang, Ph.D.
Affiliations: | 2013 | Computer Science | Arizona State University, Tempe, AZ, United States |
Area:
Computer ScienceGoogle:
"Dejun Yang"Parents
Sign in to add mentor| Guoliang Xue | grad student | 2013 | Arizona State | |
| (Coping with Selfish Behavior in Networks using Game Theory.) | ||||
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Xu J, Yang S, Lu W, et al. (2020) Incentivizing for Truth Discovery in Edge-assisted Large-scale Mobile Crowdsensing. Sensors (Basel, Switzerland). 20 |
| Hu J, Wang Z, Wei J, et al. (2020) Towards Demand-Driven Dynamic Incentive for Mobile Crowdsensing Systems Ieee Transactions On Wireless Communications. 19: 4907-4918 |
| Xu J, Rao Z, Xu L, et al. (2020) Incentive Mechanism for Multiple Cooperative Tasks with Compatible Users in Mobile Crowd Sensing via Online Communities Ieee Transactions On Mobile Computing. 19: 1618-1633 |
| Zhang Y, Li M, Yang D, et al. (2020) Tradeoff Between Location Quality and Privacy in Crowdsensing: An Optimization Perspective Ieee Internet of Things Journal. 7: 3535-3544 |
| Wu H, Wang L, Xue G, et al. (2019) Enabling Data Trustworthiness and User Privacy in Mobile Crowdsensing Ieee Acm Transactions On Networking. 27: 2294-2307 |
| Gao H, Liu CH, Tang J, et al. (2019) Online Quality-Aware Incentive Mechanism for Mobile Crowd Sensing with Extra Bonus Ieee Transactions On Mobile Computing. 18: 2589-2603 |
| Wang Z, Hu J, Lv R, et al. (2019) Personalized Privacy-Preserving Task Allocation for Mobile Crowdsensing Ieee Transactions On Mobile Computing. 18: 1330-1341 |
| Xu J, Lu W, Xu L, et al. (2019) Incentive mechanisms for mobile crowd sensing based on supply-demand relationship Peer-to-Peer Networking and Applications. 12: 577-588 |
| Lin J, Yang D, Li M, et al. (2018) Frameworks for Privacy-Preserving Mobile Crowdsensing Incentive Mechanisms Ieee Transactions On Mobile Computing. 17: 1851-1864 |
| Li M, Yang D, Lin J, et al. (2018) SpecWatch: A framework for adversarial spectrum monitoring with unknown statistics Computer Networks. 143: 176-190 |