Jiang Zhang

Orcid: 0000-0002-6939-6061

Affiliations:

Meta Platforms, Inc., Menlo Park, CA, USA
University of Southern California, Los Angeles, CA, USA (PhD 2024)
Beijing Institute of Technology, School of Automation, Beijing, China (2015 - 2019)

According to our database¹, Jiang Zhang authored at least 22 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Verifiable Reasoning for LLM-based Generative Recommendation.

[BibT_eX]

[DOI]

CoRR, March, 2026

Rethinking ANN-based Retrieval: Multifaceted Learnable Index for Large-scale Recommendation System.

[BibT_eX]

[DOI]

CoRR, February, 2026

2025

Preserving Privacy and Utility in LLM-Based Product Recommendations.

[BibT_eX]

[DOI]

Tina Khezresmaeilzadeh

Jiang Zhang

Dimitrios Andreadis

Konstantinos Psounis

CoRR, May, 2025

SPINML: Customized Synthetic Data Generation for Private Training of Specialized ML Models.

[BibT_eX]

[DOI]

Jiang Zhang

Rohan Sequeira

Konstantinos Psounis

Proc. Priv. Enhancing Technol., 2025

Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024

Location Leakage in Federated Signal Maps.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., June, 2024

Differentially Private Federated Learning without Noise Addition: When is it Possible?

[BibT_eX]

[DOI]

Jiang Zhang

Konstantinos Psounis

CoRR, 2024

Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Utility-Preserving Obfuscation Approach for YouTube Recommendations.

[BibT_eX]

[DOI]

Proc. Priv. Enhancing Technol., October, 2023

How Much Privacy Does Federated Learning with Secure Aggregation Guarantee?

[BibT_eX]

[DOI]

Ahmed Roushdy Elkordy

Proc. Priv. Enhancing Technol., January, 2023

2022

No Video Left Behind: A Utility-Preserving Obfuscation Approach for YouTube Recommendations.

[BibT_eX]

[DOI]

CoRR, 2022

Privacy-utility trades in crowdsourced signal map obfuscation.

[BibT_eX]

[DOI]

Comput. Networks, 2022

HARPO: Learning to Subvert Online Behavioral Advertising.

[BibT_eX]

[DOI]

Proceedings of the 29th Annual Network and Distributed System Security Symposium, 2022

2021

SANRAZOR: Reducing Redundant Sanitizer Checks in C/C++ Programs.

[BibT_eX]

[DOI]

Proceedings of the 15th USENIX Symposium on Operating Systems Design and Implementation, 2021

2020

Free Market of Multi-Leader Multi-Follower Mobile Crowdsensing: An Incentive Mechanism Design by Deep Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2020

A Deep Reinforcement Learning Based Offloading Game in Edge Computing.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2020

An incentive mechanism design for mobile crowdsensing with demand uncertainties.

[BibT_eX]

[DOI]

Inf. Sci., 2020

An Incentive Mechanism Design for Efficient Edge Learning by Deep Reinforcement Learning Approach.

[BibT_eX]

[DOI]

Yufeng Zhan

Jiang Zhang

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2019

Crowdtraining: Architecture and Incentive Mechanism for Deep Learning Training in the Internet of Things.

[BibT_eX]

[DOI]

IEEE Netw., 2019

A novel learning-based global path planning algorithm for planetary rovers.

[BibT_eX]

[DOI]

Jiang Zhang

Yuanqing Xia

Ganghui Shen

Neurocomputing, 2019

Crowdsensing Game with Demand Uncertainties: A Deep Reinforcement Learning Approach.

[BibT_eX]

[DOI]

CoRR, 2019

2018

A Novel Deep Neural Network Architecture for Mars Visual Navigation.

[BibT_eX]

[DOI]

Jiang Zhang

Yuanqing Xia

Ganghui Shen

CoRR, 2018

Jiang Zhang

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...