2019

1. Y. Zhang, M. Li, D. Yang, J. Tang and G. Xue, Optimizing location quality in privacy-preserving crowdsensing, IEEE Globecom’2019. (PDF)

2. J. Lin, D. Yang, J. Tang, K. Wu and G. Xue, A Sybil-resistant truth discovery framework for mobile crowdsensing, IEEE ICDCS’2019. (PDF)

3. H. Wu, L. Wang, G. Xue, J. Tang and D. Yang, Privacy-preserving and trustworthy mobile sensing with fair incentives, IEEE ICC’2019. (PDF)

4. H. Wu, L. Wang, G. Xue, J. Tang and D. Yang, Enabling data trustworthiness and user privacy in mobile crowdsensing, IEEE/ACM Transactions on Networking, Vol. 27, No. 6, 2019, pp. 2294-2307. (PDF)

2018

5. C. H. Liu,  C. Piao, X. Ma and J. Tang,  Modeling citywide crowd flows using attentive convolutional LSTM, Under review. (PDF)

6. H. Gao, C. H. Liu, J. Tang, D. Yang, P. Hui and W. Wang, Online quality-aware incentive mechanism for mobile crowd sensing with extra bonus, In press. (PDF)

7. R. Yu, G. Xue, V. T. Kilari, D. Yang and Jian Tang, CoinExpress: a fast payment routing mechanism in blockchain-based payment channel networks, IEEE ICCCN’2018, Invited paper. (PDF)

2017

8. J. Wang,  J. Tang, G. Xue and D. Yang, Towards energy-efficient task scheduling on smartphones in mobile crowd sensing systems, Computer Networks Journal, Vol. 115, 2017, pp. 100-109. (PDF)

9. X. Zhang, G. Xue, R. Yu, D. Yang and J. Tang,  Countermeasures against false-name attacks on truthful incentive mechanisms for crowdsourcing, IEEE Journal on Selected Areas in Communications (JSAC), Special Issue on Game Theory for Networks, Vol. 35, No. 2, 2017, pp. 478-485. (PDF),

10. J. Tang, Z. Xu, Y. Wang, G. Xue, X. Zhang and D. Yang,  Spatiotemportal modeling and prediction in cellular networks: a big data enabled deep learning approach, IEEE Infocom’2017, pp.1323-1331. (PDF)

11. J. Lin, M. Li, D. Yang, G. Xue and J. Tang, Sybil-proof incentive mechanisms for crowdsensing,  IEEE Infocom’2017, pp. 2088-2096. (PDF)

12. X. Zhang, G. Xue, R. Yu, D. Yang and J. Tang,  Robust incentive tree design for mobile crowdsensing, IEEE ICDCS’2017, Research Tracks, pp. 458-468. (PDF)

13. M. Li, J. Lin, D. Yang, G. Xue and J. Tang, QUAC: quality-aware contract-based incentive mechanisms for crowdsensing, IEEE MASS’2017, pp. 72-80. (PDF)

2016

14. J. Wang, J. Tang, D. Yang, E. Wang and G. Xue, Quality-aware and fine-grained incentive mechanisms for mobile crowdsensing, IEEE ICDCS’2016, pp. 354-363. (PDF)

15. X. Sheng, J. Tang, J. Wang, T. Li, G. Xue and D. Yang, LIPS: lifestyle learning via mobile phone sensing, IEEE Globecom’2016. (PDF)

16. Y. Zheng, Z. Chen, S. Velipasalar and J. Tang, Person detection and re-identification across multiple images and videos obtained via crowdsourcing,  ACM International Conference on Distributed Smart Cameras (ICDSC’2016), pp.178-183. (PDF)

2015

17. J. Wang, J. Tang, X. Sheng, G. Xue and D. Yang, Enabling green mobile crowd sensing via optimized task scheduling on smartphones, Ad-hoc and Sensor Networking Symposium, IEEE Globecom’2015 (Best Paper Award). (PDF)

 

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