Shiyu Ji

I have conducted research on information retrieval and privacy/security problems. Currently I am working at Google.

Education

• PhD in Computer Science, University of California, Santa Barbara. 2020. Digitally verified diploma.
• Master of Science in Computer Science, Oklahoma State University, Stillwater. 2015.
• Bachelor of Engineering in Information Security, Harbin Institute of Technology, Weihai. 2012.

Work Experience

• Google Software Engineer, Summer 2020 - Present
• Google Tech Intern, Summer 2018, Summer 2019
• Yahoo! Research Intern, Summer 2017
• Research and teaching assistants at UCSB, 2015-2020

Selected Awards

JUNE 14, 2019, Department of Computer Science, UCSB. Shiyu Ji selected for Outstanding Publication Award - Efficient Interaction-based Neural Ranking with Locality Sensitive Hashing Privacy- aware Ranking with Tree Ensembles on the Cloud, Appeared in: SIGIR’18

Publications

Conferences

• Jinjin Shao, Yifan Qiao, Shiyu Ji, Tao Yang. "Window Navigation with Adaptive Probing for Executing BlockMax WAND", SIGIR 2021.
• Jinjin Shao, Shiyu Ji, Alvin O. Glova, Yifan Qiao, Tao Yang, Tim Sherwood. "Index Obfuscation for Oblivious Document Retrieval in a Trusted Execution Environment", CIKM 2020.
• Jinjin Shao, Shiyu Ji, Tao Yang. "Privacy-aware Document Ranking with Neural Signals", SIGIR'19, Paris, France, July 2019.
• Shiyu Ji, Jinjin Shao, Tao Yang. "Efficient Interaction-based Neural Ranking with Locality Sensitive Hashing", WWW'19, San Francisco, CA, USA, May 2019.
• Shiyu Ji, Jinjin Shao, Daniel Agun, Tao Yang. "Privacy-aware Ranking with Tree Ensembles on the Cloud", SIGIR'18, Ann Arbor, MI, USA, July 2018.
• Daniel Agun, Jinjin Shao, Shiyu Ji, Stefano Tessaro, Tao Yang. "Privacy and Efficiency Tradeoffs for Multiword Top K Search with Linear Additive Rank Scoring", WWW'18, Lyon, France, April 2018.
• Shiyu Ji, Tingting Chen. "On Designing Collusion-Resistant Incentive Mechanisms for Mobile Crowdsensing Systems", IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, 2017.
• Shiyu Ji, Tingting Chen, Fan Wu. "Crowdsourcing with Trembles: Incentive Mechanisms for Mobile Phones with Uncertain Sensing Time", IEEE ICC - Mobile and Wireless Networking Symposium (ICC), London, June 2015.
• Shiyu Ji, Tingting Chen, Sheng Zhong, Subhash Kak. "DAWN: Defending Against Wormhole Attacks in Wireless Network Coding Systems", IEEE International Conference on Computer Communications (INFOCOM), Toronto, Canada, April 2014.
• Shiyu Ji, Tingting Chen. "Crowdsensing Incentive Mechanisms for Mobile Systems with Finite Precisions", IEEE ICC - Mobile and Wireless Networking Symposium (ICC), Sydney, June 2014.

Journals

• Yifan Qiao, Shiyu Ji, Changhai Wang, Jinjin Shao, Tao Yang, "Privacy-aware document retrieval with two-level inverted indexing", Information Retrieval Journal, 26, 12 (2023).
• Shiyu Ji, Tingting Chen, "Incentive Mechanisms for Discretized Mobile Crowdsensing", IEEE Transactions on Wireless Communications (TWC), 15(1), 2015.
• Shiyu Ji, Tingting Chen, Sheng Zhong. "Wormhole Attack Detection Algorithms in Wireless Network Coding Systems", IEEE Transactions on Mobile Computing (TMC), 14(3), 2015.

Manuscripts

• An Improvement on Python's Power Function pow() with Very Large Exponents
• Private Search on Cloud Data
• Sampling Algorithms on Frequent Itemset Mining
• Refining Approximating Betweenness Centrality by Samplings

Contact