Hardware Acceleration of Parallel Lagged-Fibonacci Pseudo Random Number Generation. - Yu Bi; Gregory D. Peterson; G. Lee Warren; Robert J. Harrison (ERSA, 2006)

Poster reception - A reconfigurable supercomputing library for accelerated parallel lagged-Fibonacci pseudorandom number generation. - Yu Bi; Gregory D. Peterson; G. Lee Warren; Robert J. Harrison (SC, 2006)

Sensitivity computation using domain-decomposition for boundary element method based capacitance extractors. - Yu Bi; Kees-Jan van der Kolk; Nick van der Meijs (CICC, 2009)

HASPRNG: Hardware Accelerated Scalable Parallel Random Number Generators. - JunKyu Lee; Yu Bi; Gregory D. Peterson; Robert J. Hinde; Robert J. Harrison (Comput. Phys. Commun., 2009)

Efficient sensitivity-based capacitance modeling for systematic and random geometric variations. - Yu Bi; Pieter Harpe; N. P. van der Meijs (ASP-DAC, 2011)

Enhanced sensitivity computation for BEM based capacitance extraction using the Schur complement technique. - Yu Bi; Simon de Graaf; Nick van der Meijs (CICC, 2011)

Noncooperative Distributed MMSE Schemes for AF SIMO Wireless Relay Networks. - Kanghee Lee 001; Tooran Emami; Yazan Ibdah; Yu Bi; Sachin Argade (CICSyN, 2011)

Cooperative Distributed MISO Wireless Relay Networks Under Jamming Environments with Power Constraints. - Kanghee Lee 001; Tooran Emami; Yazan Ibdah; Yu Bi; Lun Li (CICSyN, 2011)

Fast statistical analysis of RC nets subject to manufacturing variabilities. - Yu Bi; Kees-Jan van der Kolk; Jorge Fernandez Villena; Luís Miguel Silveira; Nick van der Meijs (DATE, 2011)

A 26 μ W 8 bit 10 MS/s Asynchronous SAR ADC for Low Energy Radios. - Pieter Harpe; Cui Zhou; Yu Bi; N. P. van der Meijs; Xiaoyan Wang 002; Kathleen Philips; Guido Dolmans; Harmke de Groot (IEEE J. Solid State Circuits, 2011)

Achievable rate for amplify and forward relay system at low SNR. - Yu Bi; Yanwu Ding; Hyuck M. Kwon (ICNC, 2012)

Ergodic Channel Capacity of an Amplify-and-Forward Relay System at Low SNR in a Generic Noise Environment. - Yu Bi; Yanwu Ding (IEEE Trans. Signal Process., 2012)

Leveraging Emerging Technology for Hardware Security - Case Study on Silicon Nanowire FETs and Graphene SymFETs. - Yu Bi; Pierre-Emmanuel Gaillardon; Xiaobo Sharon Hu; Michael T. Niemier; Jiann-Shiun Yuan; Yier Jin (ATS, 2014)

Reliable and high performance STT-MRAM architectures based on controllable-polarity devices. - Kaveh Shamsi; Yu Bi; Yier Jin; Pierre-Emmanuel Gaillardon; Michael T. Niemier; Xiaobo Sharon Hu (ICCD, 2015)

Process and temperature robust voltage multiplier design for RF energy harvesting. - Jiann-Shiun Yuan; Yu Bi (Microelectron. Reliab., 2015)

Leverage Emerging Technologies For DPA-Resilient Block Cipher Design. - Yu Bi; Kaveh Shamsi; Jiann-Shiun Yuan; François-Xavier Standaert; Yier Jin (DATE, 2016)

Enhancing Hardware Security with Emerging Transistor Technologies. - Yu Bi; Xiaobo Sharon Hu; Yier Jin; Michael T. Niemier; Kaveh Shamsi; Xunzhao Yin (ACM Great Lakes Symposium on VLSI, 2016)

Emerging Technology-Based Design of Primitives for Hardware Security. - Yu Bi; Kaveh Shamsi; Jiann-Shiun Yuan; Pierre-Emmanuel Gaillardon; Giovanni De Micheli; Xunzhao Yin; Xiaobo Sharon Hu; Michael T. Niemier; Yier Jin (ACM J. Emerg. Technol. Comput. Syst., 2016)

Robust Self-Learning Physical Layer Abstraction Utilizing Optical Performance Monitoring and Markov Chain Monte Carlo. - Fanchao Meng 002; Shuangyi Yan; Rui Wang 053; Yanni Ou; Yu Bi; Reza Nejabati; Dimitra Simeonidou (ECOC, 2017)

A New Quaternion-Based Kalman Filter for Real-Time Attitude Estimation Using the Two-Step Geometrically-Intuitive Correction Algorithm. - Kaiqiang Feng; Jie Li 036; Xiaoming Zhang; Chong Shen 001; Yu Bi; Tao Zheng; Jun Liu 005 (Sensors, 2017)

Correction: A New Quaternion-Based Kalman Filter for Real-Time Attitude Estimation Using the Two-Step Geometrically-Intuitive Correction Algorithm. Sensors 2017, 17, 2146. - Kaiqiang Feng; Jie Li 036; Xiaoming Zhang; Chong Shen 001; Yu Bi; Tao Zheng; Jun Liu 005 (Sensors, 2017)

Tunnel FET Current Mode Logic for DPA-Resilient Circuit Designs. - Yu Bi; Kaveh Shamsi; Jiann-Shiun Yuan; Yier Jin; Michael T. Niemier; Xiaobo Sharon Hu (IEEE Trans. Emerg. Top. Comput., 2017)

Field-Trial of Machine Learning-Assisted Quantum Key Distribution (QKD) Networking with SDN. - Yanni Ou; Emilio Hugues-Salas; Foteini Ntavou; Rui Wang 053; Yu Bi; Shuangyi Yan; George Kanellos; Reza Nejabati; Dimitra Simeonidou (ECOC, 2018)

Field Trial of Monitoring On-Demand at Intermediate-Nodes Through Bayesian Optimization. - Fanchao Meng 002; Alexandros Mavromatis; Yu Bi; Shuangyi Yan; Rui Wang 053; Yanni Ou; Konstantinos Nikolovgenis; Reza Nejabati; Dimitra Simeonidou (OFC, 2018)

Distributed Online Resource Allocation Using Congestion Game for 5G Virtual Network Services. - Yu Bi; Monchai Bunyakitanon; Navdeep Uniyal; Anderson Bravalheri; Abubakar Siddique Muqaddas; Reza Nejabati; Dimitra Simeonidou (GLOBECOM, 2019)

Resource Allocation for Ultra-Low Latency Virtual Network Services in Hierarchical 5G Network. - Yu Bi; Carlos Colman Meixner; Rui Wang 053; Fanchao Meng 002; Reza Nejabati; Dimitra Simeonidou (ICC, 2019)

Self-Learning Monitoring On-Demand Strategy for Optical Networks. - Fanchao Meng 002; Alexandros Mavromatis; Yu Bi; Rui Wang 053; Shuangyi Yan; Reza Nejabati; Dimitra Simeonidou (JOCN, 2019)

SHIELDeNN: Online Accelerated Framework for Fault-Tolerant Deep Neural Network Architectures. - Navid Khoshavi; Arman Roohi; Connor Broyles; Saman Sargolzaei; Yu Bi; David Z. Pan (DAC, 2020)

Fiji-FIN: A Fault Injection Framework on Quantized Neural Network Inference Accelerator. - Navid Khoshavi; Connor Broyles; Yu Bi; Arman Roohi (ICMLA, 2020)

Compression or Corruption? A Study on the Effects of Transient Faults on BNN Inference Accelerators. - Navid Khoshavi; Connor Broyles; Yu Bi (ISQED, 2020)

Entropy-Based Modeling for Estimating Soft Errors Impact on Binarized Neural Network Inference. - Navid Khoshavi; Saman Sargolzaei; Arman Roohi; Connor Broyles; Yu Bi (CoRR, 2020)

A Survey on Impact of Transient Faults on BNN Inference Accelerators. - Navid Khoshavi; Connor Broyles; Yu Bi (CoRR, 2020)

Research on safe driving behavior of transportation vehicles based on vehicle network data mining. - Yuefang Sun; Yu Bi; Yang Han 003; Dongxue Xie; Ruishan Li (Trans. Emerg. Telecommun. Technol., 2020)

A survey on attack vectors in stack cache memory. - Navid Khoshavi; Mohammad Maghsoudloo; Yu Bi; William Francois; Luis Gabriel Jaimes; Arman Sargolzaei (Integr., 2020)

Entropy-Based Modeling for Estimating Adversarial Bit-flip Attack Impact on Binarized Neural Network. - Navid Khoshavi; Saman Sargolzaei; Yu Bi; Arman Roohi (ASP-DAC, 2021)

Multi-Objective Deep Reinforcement Learning Assisted Service Function Chains Placement. - Yu Bi; Carlos Colman Meixner; Monchai Bunyakitanon; Xenofon Vasilakos; Reza Nejabati; Dimitra Simeonidou (IEEE Trans. Netw. Serv. Manag., 2021)

HARDeNN: Hardware-assisted attack-resilient deep neural network architectures. - Navid Khoshavi; Mohammad Maghsoudloo; Arman Roohi; Saman Sargolzaei; Yu Bi (Microprocess. Microsystems, 2022)

Primerdiffer: a python command-line module for large-scale primer design in haplotype genotyping. - Xiaoliang Ren; Yanwen Shao; Yiwen Zhang; Ying Ni; Yu Bi; Runsheng Li (Bioinform., 2023)

Value of inversion imaging to diagnosis in differentiating malignant from benign breast masses. - Na Li; Zhongguang Hou; Jiajia Wang; Yu Bi; Xiabi Wu; Yunyun Zhan; Mei Peng (BMC Medical Imaging, 2023)

Dissecting Open Edge Computing Platforms: Ecosystem, Usage, and Security Risks. - Yu Bi; Mingshuo Yang; Yong Fang; Xianghang Mi; Shanqing Guo; Shujun Tang; Haixin Duan (ACSAC, 2024)

Enabling Privacy-Preserving Cyber Threat Detection with Federated Learning. - Yu Bi; Yekai Li; Xuan Feng; Xianghang Mi (CoRR, 2024)

An Empirical Study of Open Edge Computing Platforms: Ecosystem, Usage, and Security Risks. - Yu Bi; Mingshuo Yang; Yong Fang; Xianghang Mi; Shanqing Guo; Shujun Tang; Haixin Duan (CoRR, 2024)

Exploiting the Vulnerability of Large Language Models via Defense-Aware Architectural Backdoor. - Abdullah Arafat Miah; Yu Bi (CoRR, 2024)

NoiseAttack: An Evasive Sample-Specific Multi-Targeted Backdoor Attack Through White Gaussian Noise. - Abdullah Arafat Miah; Kaan Icer; Resit Sendag; Yu Bi (CoRR, 2024)

Supervised contrastive learning with multi-scale interaction and integrity learning for salient object detection. - Yu Bi; Zhenxue Chen; Chengyun Liu; Tian Liang; Fei Zheng (Mach. Vis. Appl., 2024)

Agent-based Modeling and Simulation of Ambiguity in Catastrophe Insurance Markets. - Yu Bi; Lingxiao Zhao; Jinyun Tong; Zhe Feng; Carmine Ventre (AAMAS, 2025)

Recent Developments in Thermal Management of 3D ICs: A Review. - Fen Guo; Zhao-Jun Suo; Xin Xi; Yu Bi; Tuo Li; Changhong Wang; Kang Su; Xiaofeng Zou; Rengang Li (IEEE Access, 2025)

Frequency separation-based few-shot segmentation. - Xinming Zhu; Zhenxue Chen; Chengyun Liu; Yu Bi; Tian Liang (Signal Image Video Process., 2025)