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Fingerprint Dive into the research topics where Jian Tang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
Scheduling Engineering & Materials Science
Cognitive radio Engineering & Materials Science
Wireless networks Engineering & Materials Science
Throughput Engineering & Materials Science
Wireless mesh networks (WMN) Engineering & Materials Science
Heuristic algorithms Engineering & Materials Science
Approximation algorithms Engineering & Materials Science
Base stations Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2010 2020

Research Output 2004 2019

A deep recurrent neural network based predictive control framework for reliable distributed stream data processing

Xu, J., Tang, J., Xu, Z., Yin, C., Kwiat, K. & Kamhoua, C., May 2019, Proceedings - 2019 IEEE 33rd International Parallel and Distributed Processing Symposium, IPDPS 2019. Institute of Electrical and Electronics Engineers Inc., p. 262-272 11 p. 8821032. (Proceedings - 2019 IEEE 33rd International Parallel and Distributed Processing Symposium, IPDPS 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recurrent neural networks
Websites
Statistics
Degradation
Grouping
1 Citation (Scopus)

A sybil-resistant truth discovery framework for mobile crowdsensing

Lin, J., Yang, D., Wu, K., Tang, J. & Xue, G., Jul 2019, Proceedings - 2019 39th IEEE International Conference on Distributed Computing Systems, ICDCS 2019. Institute of Electrical and Electronics Engineers Inc., p. 871-880 10 p. 8884822. (Proceedings - International Conference on Distributed Computing Systems; vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sensors
Experiments

Deep reinforcement learning with applications in transportation

Qin, Z., Tang, J. & Ye, J., Jul 25 2019, KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 3201-3202 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reinforcement learning
Traffic signals
Planning

Editorial: Mobile and Ubiquitous Systems: Computing, Networking and Services

Borcea, C., Mao, S. & Tang, J., Jan 1 2019, (Accepted/In press) In : Mobile Networks and Applications.

Research output: Contribution to journalEditorial

Open Access
1 Citation (Scopus)

Experience-Driven Congestion Control: When Multi-Path TCP Meets Deep Reinforcement Learning

Xu, Z., Tang, J., Yin, C., Wang, Y. & Xue, G., Jun 1 2019, In : IEEE Journal on Selected Areas in Communications. 37, 6, p. 1325-1336 12 p., 8664598.

Research output: Contribution to journalArticle

Reinforcement learning
Recurrent neural networks
Statistics

Press and Media

Ming Gu Ucla

Jian Tang

12/3/19

1 item of Media coverage

Press/Media: Expert Comment

ACM Names 2019 Distinguished Members

Jian Tang

10/30/19

2 items of Media coverage

Press/Media: Expert Comment

Introducing the 2019 Class of IEEE Fellows

Jian Tang

3/13/19

1 item of Media coverage

Press/Media: Expert Comment