Jiang Zhang - RankMe

30 papers A* 4Journal 25Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Rethinking ANN-based Retrieval: Multifaceted Learnable Index for Large-scale Recommendation System. CoRR Jiang Zhang, Yubo Wang, Wei Chang, Lu Han, Xingying Cheng, Feng Zhang, Min Li, Songhao Jiang, Wei Zheng, Harry Tran, Zhen Wang, Lei Chen, Yueming Wang, Benyu Zhang, Xiangjun Fan, Bi Xue, Qifan Wang
2026	J	`jnl`	Verifiable Reasoning for LLM-based Generative Recommendation. CoRR Xinyu Lin, Hanqing Zeng, Hanchao Yu, Yinglong Xia, Jiang Zhang, Aashu Singh, Fei Liu, Wenjie Wang, Fuli Feng, Tat-Seng Chua, Qifan Wang
2025	—	`conf`	Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation. KDD (2) Jiang Zhang, Sumit Kumar, Wei Chang, Yubo Wang, Feng Zhang, Weize Mao, Hanchao Yu, Aashu Singh, Min Li, Qifan Wang
2025	J	`jnl`	Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation. CoRR Jiang Zhang, Sumit Kumar, Wei Chang, Yubo Wang, Feng Zhang, Weize Mao, Hanchao Yu, Aashu Singh, Min Li, Qifan Wang
2025	J	`jnl`	Preserving Privacy and Utility in LLM-Based Product Recommendations. CoRR Tina Khezresmaeilzadeh, Jiang Zhang, Dimitrios Andreadis, Konstantinos Psounis
2025	J	`jnl`	SPINML: Customized Synthetic Data Generation for Private Training of Specialized ML Models. Proc. Priv. Enhancing Technol. Jiang Zhang, Rohan Sequeira, Konstantinos Psounis
2025	J	`jnl`	SpinML: Customized Synthetic Data Generation for Private Training of Specialized ML Models. CoRR Jiang Zhang, Rohan Xavier Sequeira, Konstantinos Psounis
2024	J	`jnl`	Differentially Private Federated Learning without Noise Addition: When is it Possible? CoRR Jiang Zhang, Konstantinos Psounis
2024	A*	`conf`	Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models. AAAI Jiang Zhang, Qiong Wu, Yiming Xu, Cheng Cao, Zheng Du, Konstantinos Psounis
2024	J	`jnl`	Location Leakage in Federated Signal Maps. IEEE Trans. Mob. Comput. Evita Bakopoulou, Mengwei Yang, Jiang Zhang, Konstantinos Psounis, Athina Markopoulou
2023	J	`jnl`	A Utility-Preserving Obfuscation Approach for YouTube Recommendations. Proc. Priv. Enhancing Technol. Jiang Zhang, Hadi Askari, Konstantinos Psounis, Zubair Shafiq
2023	J	`jnl`	Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models. CoRR Jiang Zhang, Qiong Wu, Yiming Xu, Cheng Cao, Zheng Du, Konstantinos Psounis
2023	J	`jnl`	How Much Privacy Does Federated Learning with Secure Aggregation Guarantee? Proc. Priv. Enhancing Technol. Ahmed Roushdy Elkordy, Jiang Zhang, Yahya H. Ezzeldin, Konstantinos Psounis, Salman Avestimehr
2022	A*	`conf`	HARPO: Learning to Subvert Online Behavioral Advertising. NDSS Jiang Zhang, Konstantinos Psounis, Muhammad Haroon, Zubair Shafiq
2022	J	`jnl`	How Much Privacy Does Federated Learning with Secure Aggregation Guarantee? CoRR Ahmed Roushdy Elkordy, Jiang Zhang, Yahya H. Ezzeldin, Konstantinos Psounis, Salman Avestimehr
2022	J	`jnl`	No Video Left Behind: A Utility-Preserving Obfuscation Approach for YouTube Recommendations. CoRR Jiang Zhang, Hadi Askari, Konstantinos Psounis, Zubair Shafiq
2022	J	`jnl`	Privacy-Utility Trades in Crowdsourced Signal Map Obfuscation. CoRR Jiang Zhang, Lillian Clark, Matthew A. Clark, Konstantinos Psounis, Peter Kairouz
2022	J	`jnl`	Privacy-utility trades in crowdsourced signal map obfuscation. Comput. Networks Jiang Zhang, Lillian Clark, Matthew A. Clark, Konstantinos Psounis, Peter Kairouz
2021	J	`jnl`	HARPO: Learning to Subvert Online Behavioral Advertising. CoRR Jiang Zhang, Konstantinos Psounis, Muhammad Haroon, Zubair Shafiq
2021	J	`jnl`	Location Leakage in Federated Signal Maps. CoRR Evita Bakopoulou, Mengwei Yang, Jiang Zhang, Konstantinos Psounis, Athina Markopoulou
2021	A*	`conf`	SANRAZOR: Reducing Redundant Sanitizer Checks in C/C++ Programs. OSDI Jiang Zhang, Shuai Wang, Manuel Rigger, Pinjia He, Zhendong Su
2020	J	`jnl`	A Deep Reinforcement Learning Based Offloading Game in Edge Computing. IEEE Trans. Computers Yufeng Zhan, Song Guo, Peng Li, Jiang Zhang
2020	A*	`conf`	An Incentive Mechanism Design for Efficient Edge Learning by Deep Reinforcement Learning Approach. INFOCOM Yufeng Zhan, Jiang Zhang
2020	J	`jnl`	An incentive mechanism design for mobile crowdsensing with demand uncertainties. Inf. Sci. Yufeng Zhan, Yuanqing Xia, Jiang Zhang, Ting Li, Yu Wang
2020	J	`jnl`	Free Market of Multi-Leader Multi-Follower Mobile Crowdsensing: An Incentive Mechanism Design by Deep Reinforcement Learning. IEEE Trans. Mob. Comput. Yufeng Zhan, Chi Harold Liu, Yinuo Zhao, Jiang Zhang, Jian Tang
2019	J	`jnl`	A novel learning-based global path planning algorithm for planetary rovers. Neurocomputing Jiang Zhang, Yuanqing Xia, Ganghui Shen
2019	J	`jnl`	Crowdsensing Game with Demand Uncertainties: A Deep Reinforcement Learning Approach. CoRR Yufeng Zhan, Yuanqing Xia, Jiang Zhang, Ting Li, Yu Wang
2019	J	`jnl`	Crowdtraining: Architecture and Incentive Mechanism for Deep Learning Training in the Internet of Things. IEEE Netw. Yufeng Zhan, Jiang Zhang, Peng Li, Yuanqing Xia
2018	J	`jnl`	A Novel Deep Neural Network Architecture for Mars Visual Navigation. CoRR Jiang Zhang, Yuanqing Xia, Ganghui Shen
2018	J	`jnl`	A Novel Learning-based Global Path Planning Algorithm for Planetary Rovers. CoRR Jiang Zhang, Yuanqing Xia, Ganghui Shen