Yongqin Wang - RankMe

32 papers A* 4B 2Journal 23Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Differentially Private Retrieval-Augmented Generation. CoRR Tingting Tang, James Flemings, Yongqin Wang, Murali Annavaram
2026	J	`jnl`	LRD-MPC: Efficient MPC Inference through Low-rank Decomposition. CoRR Tingting Tang, Yongqin Wang, Murali Annavaram
2026	A*	`conf`	SCALE: Tackling Communication Bottlenecks in Confidential Distributed Machine Learning. HPCA Joongun Park, Yongqin Wang, Huan Xu, Hanjiang Wu, Mengyuan Li, Tushar Krishna
2025	J	`jnl`	Characterization of GPU TEE Overheads in Distributed Data Parallel ML Training. CoRR Jonghytun Lee, Yongqin Wang, Rachit Rajat, Murali Annavaram
2025	J	`jnl`	External validation and application of risk prediction model for ventilator-associated pneumonia in ICU patients with mechanical ventilation: A prospective cohort study. Int. J. Medical Informatics Jiaying Li, Guifang Li, Ziqing Liu, Jincong Wang, Xueping Jia, Hongxiao Yang, Yongqin Wang
2025	J	`jnl`	Harnessing the potential of social media platforms for sustainable and inclusive learning among older adults in the digital era. Interact. Learn. Environ. Yongqin Wang, Ping Huang
2025	J	`jnl`	High-Throughput Secure Multiparty Computation with an Honest Majority in Various Network Settings. Proc. Priv. Enhancing Technol. Christopher Harth-Kitzerow, Ajith Suresh, Yongqin Wang, Hossein Yalame, Georg Carle, Murali Annavaram
2025	J	`jnl`	PIGEON: A High Throughput Framework for Private Inference of Neural Networks using Secure Multiparty Computation. Proc. Priv. Enhancing Technol. Christopher Harth-Kitzerow, Yongqin Wang, Rachit Rajat, Georg Carle, Murali Annavaram
2024	J	`jnl`	Fastrack: Fast IO for Secure ML using GPU TEEs. CoRR Yongqin Wang, Rachit Rajat, Jonghyun Lee, Tingting Tang, Murali Annavaram
2024	—	`conf`	MPC-Pipe: an Efficient Pipeline Scheme for Semi-honest MPC Machine Learning. ASPLOS (4) Yongqin Wang, Rachit Rajat, Murali Annavaram
2024	J	`jnl`	PIGEON: A Framework for Private Inference of Neural Networks. IACR Cryptol. ePrint Arch. Christopher Harth-Kitzerow, Yongqin Wang, Rachit Rajat, Georg Carle, Murali Annavaram
2023	J	`jnl`	CompactTag: Minimizing Computation Overheads in Actively-Secure MPC for Deep Neural Networks. CoRR Yongqin Wang, Pratik Sarkar, Nishat Koti, Arpita Patra, Murali Annavaram
2023	J	`jnl`	CompactTag: Minimizing Computation Overheads in Actively-Secure MPC for Deep Neural Networks. IACR Cryptol. ePrint Arch. Yongqin Wang, Pratik Sarkar, Nishat Koti, Arpita Patra, Murali Annavaram
2023	A*	`conf`	LAORAM: A Look Ahead ORAM Architecture for Training Large Embedding Tables. ISCA Rachit Rajat, Yongqin Wang, Murali Annavaram
2022	B	`conf`	Characterization of MPC-based Private Inference for Transformer-based Models. ISPASS Yongqin Wang, G. Edward Suh, Wenjie Xiong, Benjamin Lefaudeux, Brian Knott, Murali Annavaram, Hsien-Hsin S. Lee
2022	J	`jnl`	DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware. CoRR Hanieh Hashemi, Yongqin Wang, Murali Annavaram
2022	J	`jnl`	MPC-Pipe: an Efficient Pipeline Scheme for Secure Multi-party Machine Learning Inference. CoRR Yongqin Wang, Rachit Rajat, Murali Annavaram
2022	A*	`conf`	PageORAM: An Efficient DRAM Page Aware ORAM Strategy. MICRO Rachit Rajat, Yongqin Wang, Murali Annavaram
2021	J	`jnl`	Byzantine-Robust and Privacy-Preserving Framework for FedML. CoRR Hanieh Hashemi, Yongqin Wang, Chuan Guo, Murali Annavaram
2021	A*	`conf`	DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware. MICRO Hanieh Hashemi, Yongqin Wang, Murali Annavaram
2021	J	`jnl`	Look Ahead ORAM: Obfuscating Addresses in Recommendation Model Training. CoRR Rachit Rajat, Yongqin Wang, Murali Annavaram
2021	B	`conf`	Origami Inference: Private Inference Using Hardware Enclaves. CLOUD Krishna Giri Narra, Zhifeng Lin, Yongqin Wang, Keshav Balasubramanian, Murali Annavaram
2021	J	`jnl`	Privacy and Integrity Preserving Training Using Trusted Hardware. CoRR Hanieh Hashemi, Yongqin Wang, Murali Annavaram
2021	—	`conf`	Research on Evaluation Model of College English Online and Offline Mixed Learning Under Digital Environment. DLI Yongqin Wang
2020	J	`jnl`	A reliability-based fatigue design for mechanical components under material variability. Qual. Reliab. Eng. Int. Weiqi Du, Yongqin Wang, Yuanxin Luo
2020	J	`jnl`	DarKnight: A Data Privacy Scheme for Training and Inference of Deep Neural Networks. CoRR Hanieh Hashemi, Yongqin Wang, Murali Annavaram
2020	J	`jnl`	Research on meta-action decomposition and meta-action unit modeling technology for electromechanical product. Qual. Reliab. Eng. Int. Yulong Li, Xiaogang Zhang, Yan Ran, Genbao Zhang, Yongqin Wang
2019	J	`jnl`	A general framework for fatigue reliability analysis of a high temperature component. Qual. Reliab. Eng. Int. Weiqi Du, Yuanxin Luo, Yongqin Wang, Ling Ma
2019	J	`jnl`	Privacy-Preserving Inference in Machine Learning Services Using Trusted Execution Environments. CoRR Krishna Giri Narra, Zhifeng Lin, Yongqin Wang, Keshav Balasubramaniam, Murali Annavaram
2019	J	`jnl`	Research on reliability allocation technology for NC machine tool meta-action. Qual. Reliab. Eng. Int. Yulong Li, Genbao Zhang, Yongqin Wang, Xiaogang Zhang, Yan Ran
2019	J	`jnl`	Time-variant reliability analysis using the parallel subset simulation. Reliab. Eng. Syst. Saf. Weiqi Du, Yuanxin Luo, Yongqin Wang
2018	—	`conf`	Teaching Effect of College English Based on Cloud Class Platform. eLEOT Yongqin Wang, Mingming Han, Fei Lang