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Shuo Yang (杨朔)
I am now a senior applied researcher at Tencent Inc, focusing on online advertising. I received Ph.D degre and Bachelor degree in 2019 and 2014 respectively, both of Computer Science and both from Shanghai Jiao Tong University. I have been working in the Advanced Network Lab (ANL) under the supervision of Prof. Fan Wu. I was visiting Data Mining and Machine Learning lab (DMML) in Arizona State University from Sept. 2017 to Sept. 2018, mentored by Prof. Huan Liu (ACM/IEEE/AAAS/AAAI Fellow). I am a recipient of 2017 Google Phd Fellowship Award.
My research interests include: Online Advertising, Machine Learning, Data Mining, Mobile Computing, Wireless Networking, Recommender System, and Mechanism Design. My resume (last update 2018.12) is here.
News
Oct. 2020: One paper is accepted to IEEE Transactions on Mobile Computing (TMC)
Apr. 2020: One paper is accepted to IEEE Transactions on Mobile Computing (TMC)
Our recent survey on mobile distributed machine learning and federated learning: https://arxiv.org/abs/1909.08329
Nov. 2018: Our work on fake news detection was accepted to AAAI'19, special thanks to my brilliant collaborators Kai Shu and Suhang Wang
Aug. 2018: One paper is accepted to IEEE Transactions on Mobile Computing (TMC)
July. 2018: One paper is accepted to IEEE MASS'18
Mar. 2018: One paper is accepted to IEEE SECON'18
Feb. 2018: Website released, previous site: http://shuoyang.strikingly.com/
Publications
On Designing Bid-Augmented Retrieval Models for Online Advertising in Social Networks. Xinwei Wan, Shuo Yang, Shuai Li, Chao Yan, Zhenzhe Zheng, Lan Xu, Lingling Yao, Fan Wu, Guihai Chen, Jie Jiang, to appear in ICCCN 2023.
HIT: Learning a Hierarchical Tree-Based Model with Variable-Length Layers for Recommendation Systems. Anran Xu, Shuo Yang, Shuai Li, Zhenzhe Zheng, Lingling Yao, Fan Wu, Guihai Chen, Jie Jiang. In Database Systems for Advanced Applications: 28th International Conference (DASFAA 2023) [link]
On Designing Strategy-Proof Budget Feasible Online Mechanism for Mobile Crowdsensing with Time-Discounting Values. Zhenzhe Zheng, Shuo Yang, Jiapeng Xie, Fan Wu, Xiaofeng Gao, Guihai Chen, to appear in IEEE Transactions on Mobile Computing (TMC)
Fine-Grained User Profiling for Personalzied Task Matching in Mobile Crowdsensing. Fan Wu, Shuo Yang, Zhenzhe Zheng, Shaojie Tang, Guihai Chen, to appear in IEEE Transactions on Mobile Computing (TMC)
Unsupervised Fake News Detection on Social Media: A Generative Approach, Shuo Yang, Kai Shu, Suhang Wang, Renjie Gu, Fan Wu, and Huan Liu, To appear in Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019) [PDF]
On Designing Distributed Auction Mechanisms for Wireless Spectrum Allocation, Shuo Yang, Dan Peng, Tong Meng, Fan Wu, Guihai Chen, Shaojie Tang, Zhenhua Li, and Tie Luo, To appear in IEEE Transactions on Mobile Computing (TMC) [PDF]
Holmes: Tackling Data Sparsity for Truth Discovery in Location-Aware Mobile Crowdsensing, Zhuoqian Li, Shuo Yang, Fan Wu, Xiaofeng Gao, and Guihai Chen, To appear in IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS 2018) [PDF]
On Designing Quality-Aware Steering Algorithms for Large-Scale Mobile Crowdsensing, Shuo Yang, Kunyan Han, Fan Wu, and Guihai Chen, In 2018 IEEE International Conference on Sensing, Communications, and Networking (SECON 2018) [PDF] [Slide]
Towards Personalized Task Matching in Mobile Crowdsensing via Fine-Grained User Profiling, Shuo Yang, Kunyan Han, Zhenzhe Zheng, Shaojie Tang, and Fan Wu, In 2018 IEEE International Conference on Computer Communications (INFOCOM 2018) [PDF] [PPT] [TechReport]
Bandit User Selection Algorithm for Budgeted and Time-Limited Mobile Crowdsensing, Shuo Yang, Xiaotian Qi, Fan Wu, Xiaofeng Gao, and Guihai Chen, In Proceedings of the 2017 IEEE Global Communications Conference (GLOBECOM 2017) [PDF]
Jump-Start Crowdsensing: A Three-Layer Incentive Framework for Mobile Crowdsensing, Yatong Chen, Huangxun Chen, Shuo Yang, Xiaofeng Gao, and Fan Wu, In IEEE/ACM 25th International Symposium on Quality of Service (IWQoS 2017) [PDF]
On Designing Data Quality-Aware Truth Estimation and Surplus Sharing Method for Mobile Crowdsensing, Shuo Yang, Fan Wu, Shaojie Tang, Xiaofeng Gao, Bo Yang, and Guihai Chen, In IEEE Journal on Selected Areas in Communications (JSAC), vol. 35, no. 4, pp. 832-847, 2017 [PDF]
Revenue Maximization and Contract Enforcement through Representative Bidding in Ad Auctions, Shuo Yang, Ruiwen Zhao, Fan Wu, Xiaofeng Gao, Shaojie Tang, and Guihai Chen, In Proceedings of the 2016 IEEE Global Communications Conference (GLOBECOM 2016) [PDF]
A Strategy-Proof and Budget Feasible Online Mechanism for Crowdsensing with Time-Discounting Values, Jiapeng Xie, Shuo Yang, Fan Wu, Xiaofeng Gao, and Guihai Chen, In Proceedings of the 2016 IEEE Global Communications Conference (GLOBECOM 2016) [PDF]
Selecting Most Informative Contributors with Unknown Costs for Budgeted Crowdsensing, Shuo Yang, Fan Wu, Shaojie Tang, Tie Luo, Xiaofeng Gao, Linghe Kong, and Guihai Chen, In IEEE/ACM International Symposium on Quality of Service (IWQoS 2016) [PDF] [Technical Report]
Good Work Deserves Good Pay: A Quality-Based Surplus Sharing Method for Participatory Sensing, Shuo Yang, Fan Wu, Shaojie Tang, Xiaofeng Gao, Bo Yang and Guihai Chen, In the 44th International Conference on Parallel Processing (ICPP 2015) [PDF] [PPT]
Resisting Three-Dimensional Manipulations in Distributed Wireless Spectrum Auctions, Dan Peng, Shuo Yang, Fan Wu, Guihai Chen, Shaojie Tang, and Tie Luo, In 2015 IEEE International Conference on Computer Communications (INFOCOM 2015) [PDF]
Designing Incentive Mechanisms for Mobile Crowdsensing with Intermediaries , Yatong Chen, Huangxun Chen, Shuo Yang, Xiaofeng Gao, Yunhe Guo, and Fan Wu, To apper in Wireless Communications and Mobile Computing (WCMC)
Honors
上海交通大学优博, 2019
IBM Excellent Graduate Student Award, 2018
Academic Star (highest academic award in SJTU) nomination of SJTU, 2018
National Scholarship, 2018
Google Ph.D. Fellowship, 2017
CSC-IBM Graduate Scholarship, 2017
Outstanding Doctoral Student Award by Yangyuanqing Education Fund, 2017
Zhaozhumulan Ph.D. Scholarship, 2015
Smart Car Competition in SJTU, Silver Prize, 2013
Scholarship for Academic Excellency of SJTU, 2011, 2012
Contact
Email: yangshuo9999 [at] gmail [dot] com