Conference Papers

2026

QNBAD: Quantum Noise-induced Backdoor Attacks against Zero Noise Extrapolation
Cheng Chu, Qian Lou, Fan Chen, and Lei Jiang.
Network and Distributed System Security Symposium (NDSS), 2026.

CO2-Meter: A Comprehensive Carbon Footprint Estimator for LLMs on Edge Devices
Zhenxiao Fu, Fan Chen, and Lei Jiang.
Annual AAAI Conference on Artificial Intelligence (AAAI), 2026.

2025

BVQC: A Backdoor-Style Watermarking Scheme for Variational Quantum Circuits
Cheng Chu, Lei Jiang, and Fan Chen.
IEEE International Conference on Quantum Computing and Engineering (QCE), 2025.

QSeer: A Quantum-Inspired Graph Neural Network for Parameter Initialization in Quantum Approximate Optimization Algorithm Circuits
Lei Jiang, Chi Zhang, and Fan Chen.
IEEE International Conference on Quantum Computing and Engineering (QCE), 2025.

Qracle: A Graph-Neural-Network-based Parameter Initializer for Variational Quantum Eigensolvers
Chi Zhang, Lei Jiang, and Fan Chen.
IEEE International Conference on Quantum Computing and Engineering (QCE), 2025.

Cipherprune: Efficient and scalable private transformer inference
Yancheng Zhang, Jiaqi Xue, Mengxin Zheng, Mimi Xie, Mingzhe Zhang, Lei Jiang, and Qian Lou.
International Conference on Learning Representations (ICLR), 2025.

2024

Sepaint: Semantic Map Inpainting via Multinomial Diffusion
Zheng Chen, Deepak Duggirala, David Crandall, Lei Jiang, and Lantao Liu.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024.

Special Session: End-to-End Carbon Footprint Assessment and Modeling of Deep Learning
Ahmad Faiz, Lei Jiang, and Fan Chen.
IEEE/ACM International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), 2024.

SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning
Mengxin Zheng, Jiaqi Xue, Zihao Wang, Xun Chen, Qian Lou, Lei Jiang, and Xiaofeng Wang.
European Conference on Computer Vision (ECCV), 2024.

OFHE: An Electro-Optical Accelerator for Discretized TFHE
Mengxin Zheng, Cheng Chu, Qian Lou, Nathan Youngblood, Mo Li, Sajjad Moazeni, and Lei Jiang.
ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), 2024.

Multi-Stage Watermarking for Quantum Circuits
Min Yang, Xiaolong Guo, and Lei Jiang.
IEEE International Conference on Quantum Computing and Engineering (QCE), 2024.

LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models
Ahmad Faiz, Sotaro Kaneda, Ruhan Wang, Rita Osi, Parteek Sharma, Fan Chen, and Lei Jiang.
International Conference on Learning Representations (ICLR), 2024.

TITAN: A Distributed Large-Scale Trapped-Ion NISQ Computer
Cheng Chu, Zhenxiao Fu, Yilun Xu, Gang Huang, Hausi Muller, Fan Chen, and Lei Jiang.
ACM/IEEE Design Automation Conference (DAC), 2024.

2023

QDoor: Exploiting Approximate Synthesis for Backdoor Attacks in Quantum Neural Networks
Cheng Chu, Fan Chen, Philip Richerme, and Lei Jiang.
IEEE International Conference on Quantum Computing and Engineering (QCE), 2023.

CryptoQFL: Quantum Federated Learning on Encrypted Data
Cheng Chu, Lei Jiang, and Fan Chen.
IEEE International Conference on Quantum Computing and Engineering (QCE), 2023.

TrojViT: Trojan Insertion in Vision Transformers
Mengxin Zheng, Qian Lou, and Lei Jiang.
IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023.

QTrojan: A Circuit Backdoor Against Quantum Neural Networks
Cheng Chu, Lei Jiang, Martin Swany, and Fan Chen.
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023.

PRIMER: A Privacy-Preserving Transformer on Encrypted Data
Mengxin Zheng, Qian Lou, and Lei Jiang.
ACM/IEEE Design Automation Conference (DAC), 2023.

PriML: An Electro-Optical Accelerator for Private Machine Learning on Encrypted Data
Mengxin Zheng, Fan Chen, Lei Jiang, and Qian Lou.
International Symposium on Quality Electronic Design (ISQED), 2023.

2022

CryptoLight: An Electro-Optical Accelerator for Fully Homomorphic Encryption
Mengxin Zheng, Qian Lou, Fan Chen, Lei Jiang, and Yongxin Zhu.
ACM International Symposium on Nanoscale Architectures (NANOARCH), 2022.

QMLP: An Error-Tolerant Nonlinear Quantum MLP Architecture using Parameterized Two-Qubit Gates
Cheng Chu, Nai-Hui Chia, Lei Jiang, and Fan Chen.
ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), 2022.

MATCHA: A Fast and Energy-Efficient Accelerator for Fully Homomorphic Encryption over the Torus
Lei Jiang, Qian Lou, and Nrushad Joshi.
IEEE/ACM Design Automation Conference (DAC), 2022.

2021

CryptoGRU: Low Latency Privacy-Preserving Text Analysis With GRU
Bo Feng, Qian Lou, Lei Jiang, and Geoffrey Fox.
The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.

SMART: A Heterogeneous Scratchpad Memory Architecture for Superconductor SFQ-based Systolic CNN Accelerators
Farzaneh Zokaee, and Lei Jiang.
ACM/IEEE International Symposium on Microarchitecture (MICRO), 2021.

HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture
Qian Lou, and Lei Jiang.
International Conference on Machine Learning (ICML), 2021.

SAFENet: A Secure, Accurate and Fast Neural Network Inference Framework
Qian Lou, Yilin Shen, Hongxia Jin, and Lei Jiang.
International Conference on Learning Representations (ICLR), 2021.

EXMA: A Genomics Accelerator for Exact-Matching
Lei Jiang, and Farzaneh Zokaee.
IEEE International Symposium on High Performance Computer Architecture (HPCA), 2021.

2020

Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data
Qian Lou, Bo Feng, Geoffrey C. Fox, and Lei Jiang.
Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), 2020.

Falcon: Fast Spectral Inference on Encrypted Data
Qian Lou, Wen-jie Lu, Cheng Hong, and Lei Jiang.
Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), 2020.

AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference
Qian Lou, Song Bian, and Lei Jiang.
Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), 2020.

Helix: Algorithm/Architecture Co-design for Accelerating Nanopore Genome Base-calling
Qian Lou, Sarath C. Janga, and Lei Jiang.
IEEE/ACM International Conference on Parallel Architectures and Compilation Techniques (PACT), 2020.

AutoQ: Automated Kernel-Wise Neural Network Quantization
Qian Lou, Feng Guo, Minje Kim, Lantao Liu, and Lei Jiang.
International Conference on Learning Representations (ICLR), 2020.

Mitigating Voltage Drop in Resistive Memories by Dynamic RESET Voltage Regulation and Partition RESET
Farzaneh Zokaee, and Lei Jiang.
IEEE International Symposium on High Performance Computer Architecture (HPCA), 2020.

LightBulb: A Photonic-Nonvolatile-Memory-based Accelerator for Binarized Convolutional Neural Networks
Farzaneh Zokaee, Qian Lou, Nathan Youngblood, Weichen Liu, Yiyuan Xie, and Lei Jiang.
IEEE/ACM Design, Automation & Test in Europe Conference & Exhibition (DATE), 2020.

MindReading: An Ultra-Low-Power Nanophotonic Accelerator for EEG-based Intention Recognition
Qian Lou, Wenyang Liu, Weichen Liu, Feng Guo, and Lei Jiang.
IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), 2020.

2019

SHE: A Fast and Accurate Deep Neural Network for Encrypted Data
Qian Lou, and Lei Jiang.
Conference on Neural Information Processing Systems (NeurIPS), 2019.

FindeR: Accelerating FM-Index-based Exact Pattern Matching in Genomic Sequences through ReRAM Technology
Farzaneh Zokaee, Mingzhe Zhang, and Lei Jiang.
IEEE/ACM International Conference on Parallel Architectures and Compilation Techniques (PACT), 2019.

Magma: A Monolithic 3D Vertical Heterogeneous ReRAM-based Main Memory Architecture
Farzaneh Zokaee, Mingzhe Zhang, Xiaochun Ye, Dongrui Fan, and Lei Jiang.
IEEE/ACM Design Automation Conference (DAC), 2019.

A Fault-Tolerant Neural Network Architecture
Tao Liu, Wujie Wen, Lei Jiang, Yanzhi Wang, Chengmo Yang, and Gang Quan.
IEEE/ACM Design Automation Conference (DAC), 2019.

Holylight: A Nanophotonic Accelerator for Deep Learning in Data Centers
Weichen Liu, Wenyang Liu, Yichen Ye, Qian Lou, Yiyuan Xie, and Lei Jiang.
IEEE/ACM Design, Automation & Test in Europe Conference & Exhibition (DATE), 2019.

Thermal Sensing Using Micro-ring Resonators in Optical Network-on-Chip
Weichen Liu, Mengquan Li, Wanli Chang, Chunhua Xiao, Yiyuan Xie, Nan Guan, and Lei Jiang.
IEEE/ACM Design, Automation & Test in Europe Conference & Exhibition (DATE), 2019.

2018

3DICT: A Reliable and QoS Capable Mobile Process-In-Memory Architecture for Lookup-based CNNs in 3D XPoint ReRAMs
Qian Lou, Wujie Wen, and Lei Jiang.
IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2018.

DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework
Zihao Liu, Tao Liu, Wujie Wen, Lei Jiang, Jie Xu, Yanzhi Wang, and Gang Quan.
IEEE/ACM Design Automation Conference (DAC), 2018.

DrAcc: A DRAM based Accelerator for Accurate CNN inference
Quan Deng, Lei Jiang, Youtao Zhang, Minxuan Zhang, and Jun Yang.
IEEE/ACM Design Automation Conference (DAC), 2018.

Performance Characterization of Multi-threaded Graph Processing Applications on Many-Integrated-Core Architecture
Lei Jiang, Langshi Chen, and Judy Qiu.
IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2018.

Repurposing SoC Analog Circuitry For Additional COTS Hardware Security
Adam R. Duncan, Lei Jiang, and Martin Swany.
IEEE International Symposium on Hardware Oriented Security and Trust (HOST), 2018.

PT-Spike: A Precise-Time-Dependent Single Spike Neuromorphic Architecture with Efficient Supervised Learning
Tao Liu, Lei Jiang, Yier Jin, Gang Quan, and Wujie Wen.
IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), 2018.

2017

Benchmarking Harp-DAAL: High Performance Hadoop on KNL Clusters
Langshi Chen, Bo Peng, Bingjing Zhang, Tony Liu, Yiming Zou, Lei Jiang, Judy Qiu, Zhang Zhang, Robert Henschel, Craig Stewart, Emily Mccallum, Zahniser Tom, and Omer Jon.
IEEE International Conference on Cloud Computing (CLOUD), 2017.

Quick-and-Dirty: Improving Performance of MLC PCM by Using Temporary Short Writes
Mingzhe Zhang, Lunkai Zhang, Lei Jiang, Fred Chong, and Zhiyong Liu.
IEEE International Conference on Computer Design (ICCD), 2017.

XNOR-POP: A Processing-in-Memory Architecture for Binary Convolutional Neural Networks in Wide-IO2 DRAMs
Lei Jiang, Minje Kim, Wujie Wen, and Danghui Wang.
ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), 2017.

Building a Fast and Power Efficient Inductive Charge Pump System for 3D Stacked Phase Change Memories
Lei Jiang, Sparsh Mittal, and Wujie Wen.
ACM Great Lakes Symposium on VLSI (GLSVLSI), 2017.

Constructing Fast and Energy Efficient 1TnR based ReRAM Crossbar Memory
Lei Zhao, Lei Jiang, Youtao Zhang, Nong Xiao, and Jun Yang.
IEEE International Symposium on Quality Electronic Design (ISQED), 2017.

Balancing Performance and Lifetime of MLC PCM by Using a Region Retention Monitor
Mingzhe Zhang, Lunkai Zhang, Lei Jiang, Zhiyong Liu, and Fred Chong.
IEEE International Symposium on High Performance Computer Architecture (HPCA), 2017.

A Statistical STT-RAM Retention Model for Fast Memory Subsystem Designs
Zihao Liu, Wujie Wen, Lei Jiang, Yier Jin, and Gang Quan.
IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), 2017.

2016

Improving Read Performance of STT-MRAM based Main Memories through Smash Read and Flexible Read
Lei Jiang, Wujie Wen, Danghui Wang, and Lide Duan.
IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), 2016.

2015

Selective Restore: an Energy Efficient Read Disturbance Mitigation Scheme for Future STT-MRAM
Rujia Wang, Lei Jiang, Youtao Zhang, Linzhang Wang and Jun Yang.
IEEE/ACM Design Automation Conference (DAC), 2015.

Exploit Imbalanced Cell Writes to Mitigate Write Disturbance in Dense Phase Change Memory
Rujia Wang, Lei Jiang, Youtao Zhang, Linzhang Wang and Jun Yang.
IEEE/ACM Design Automation Conference (DAC), 2015.

SD-PCM: Constructing Reliable Super Dense Phase Change Memory under Write Disturbance
Rujia Wang, Lei Jiang, Youtao Zhang, and Jun Yang.
International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2015.

2014

A Low Power and Reliable Charge Pump Design for Phase Change Memories
Lei Jiang, Bo Zhao, Youtao Zhang, and Jun Yang.
ACM/IEEE International Symposium on Computer Architecture (ISCA), 2014.

Mitigating Write Disturbance in Super Dense Phase Change Memories
Lei Jiang, Youtao Zhang, and Jun Yang.
IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2014.

SLC-Enabled Wear Leveling for MLC PCM Considering Process Variation
Mengying Zhao, Lei Jiang, Youtao Zhang, and Chun Xue.
ACM/IEEE Design Automation Conference (DAC), 2014.

2013

WoM-SET: Lowering Write Power of Proactive-SET based PCM Write Strategy using WoM Code
Xianwei Zhang, Lei Jiang, Youtao Zhang, Chuanjun Zhang and Jun Yang.
ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), 2013.
(Best Paper Award)

Compiler Directed Write-Mode Selection for High Performance Low Power Volatile PCM
Qingan Li, Lei Jiang, Youtao Zhang, Yanxiang He and Chun Xue.
ACM SIGPLAN/SIGBED Conference on Languages, Compilers and Tools for Embedded Systems (LCTES), 2013.

2012

FPB: Fine-grained Power Budgeting to Improve Write Throughput of Multi-level Cell Phase Change Memory
Lei Jiang, Youtao Zhang, Bruce R. Childers and Jun Yang.
IEEE/ACM International Symposium on Microarchitecture (MICRO), 2012.

ER: Elastic RESET for Low Power and Long Endurance MLC based Phase Change Memory
Lei Jiang, Youtao Zhang and Jun Yang.
IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2012.
(Best Paper Nominee)

Constructing Large and Fast Multi-level Cell STT-MRAM based Cache for Embedded Processors
Lei Jiang, Bo Zhao, Youtao Zhang and Jun Yang.
IEEE/ACM Design Automation Conference (DAC), 2012.

Improving Write Operations in MLC Phase Change Memory
Lei Jiang, Bo Zhao, Youtao Zhang, Jun Yang and Bruce R. Childers.
IEEE International Symposium on High Performance Computer Architecture (HPCA), 2012.

2011

Enhancing Phase Change Memory Lifetime through Fine-Grained Current Regulation and Voltage Upscaling
Lei Jiang, Youtao Zhang and Jun Yang.
IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2011.

LLS: Cooperative Integration of Wear-Leveling and Salvaging for PCM Main Memory
Lei Jiang, Yu Du, Youtao Zhang, Bruce R. Childers and Jun Yang.
IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2011.

2008

Software Pipelining with Minimal Loop Overhead on Transport Triggered Architecture
Lei Jiang, Yongxin Zhu and Yipeng Wei.
IEEE International Conference on Embedded Software and Systems (ICESS), 2008.

A simulator for multi-core processor micro-architecture featuring inter-core communication, power and thermal behavior
Jun Xu, Yongxin Zhu, Lei Jiang, Junjie Ni and Kai Zheng.
ICESS-08 Symposium on Advances in Mobile and Networked Embedded Systems (AMNES2008), 2008.

Journal Articles

2025

LLMCO2: Advancing Accurate Carbon Footprint Prediction for LLM Inferences
Zhenxiao Fu, Fan Chen, Haitong Li, and Lei Jiang.
ACM SIGENERGY Energy Informatics Review, 2025.

2024

NISQ Quantum Computing: A Security-Centric Tutorial and Survey
Fan Chen, Lei Jiang, Hausi Muller, Philip Richerme, Cheng Chu, Zhenxiao Fu, and Min Yang.
IEEE Circuits and Systems Magazine, 2024.

Exploiting Sound for Emerging Applications of Extracellular Vesicles
Zhuhao Wu, Hongwei Cai, Chunhui Tian, Zheng Ao, Lei Jiang, and Feng Guo.
Nano Research, 2024.

2023

Acoustic Metamaterials Driven Transdermal Drug Delivery for Rapid and On-demand Management of Acute Disease
Junhua Xu, Hongwei Cai, Zhuhao Wu, Chunhui Tian, Xiang Li, Zheng Ao, Vivian Niu, Xiao Xiao, Lei Jiang, Marat Khodoun, Marc Rothenberg, Ken Mackie, Jun Chen, Luke Lee, and Feng Guo.
Nature Communications, 2023.

Optical and Electrical Memories for Analog Optical Computing
Sadra Rahimi Kari, Carlos Rios, Lei Jiang, Jiawei Meng, Nicola Peserico, Volker J. Sorger, Juejun Hu, and Nathan Youngblood.
IEEE Journal of Selected Topics in Quantum Electronics, 2023.

CoFHE: Software and hardware Co-design for FHE-based machine learning as a service
Mengxin Zheng, Lei Ju, and Lei Jiang.
Frontiers in Electronics, 2023.

2022

Sky-sorter: A Processing-in-Memory Architecture for Large-Scale Sorting
Farzaneh Zokaee, Fan Chen, Guangyu Sun, and Lei Jiang.
IEEE Transactions on Computers (TC), 2022.

2020

Profiling Cell–Matrix Adhesion Using Digitalized Acoustic Streaming
Hongwei Cai, Zheng Ao, Zhuhao Wu, Asael Nunez, Lei Jiang, Richard L. Carpenter, Kenneth P. Nephew, and Feng Guo.
Analytical Chemistry, 92 (2), 2283–2290, 2020.

Trapping cell spheroids and organoids using digital acoustofluidics
Hongwei Cai, Zhuhao Wu, Zheng Ao, Asael Nunez, Bin Chen, Lei Jiang, Maria Bondesson, and Feng Guo.
Biofabrication, 2020.

2019

Quick-and-Dirty: An Architecture for High-Performance Temporary Short Writes in MLC PCM
Mingzhe Zhang, Lunkai Zhang, Lei Jiang, Fred Chong, and Zhiyong Liu.
IEEE Transactions on Computers (TC), 2019.

2018

BRAWL: A Spintronics-Based Portable Basecalling-in-Memory Architecture for Nanopore Genome Sequencing
Qian Lou and Lei Jiang.
IEEE Computer Architecture Letters (CAL), 2018.

AligneR: A Process-In-Memory Architecture for Short Read Alignment in ReRAMs
Farzaneh Zokaee, Hamid R. Zarandi, and Lei Jiang.
IEEE Computer Architecture Letters (CAL), 2018.

2017

FlowPaP and FlowReR: Improving Energy Efficiency and Performance for STT-MRAM-Based Handheld Devices under Read Disturbance
Hao Yan, Lei Jiang, Lide Duan, Wei-Ming Lin, and Eugene John.
ACM Transactions on Embedded Computing Systems (TECS), 2017.

2016

Addressing Read-disturbance Issue in STT-RAM by Data Compression and Selective Duplication
Sparsh Mittal, Jeffrey S. Vetter, and Lei Jiang.
IEEE Computer Architecture Letters (CAL), 2016.

2015

Constructing Large and Fast On-chip Cache for Mobile Processors with Multi-Level Cell STT-MRAM Technology
Lei Jiang, Bo Zhao, Jun Yang and Youtao Zhang.
ACM Transactions on Design Automation of Electronic Systems (TODAES), 2015.

Wear Relief for High-density Phase Change Memory through Cell Morphing Considering Process Variation
Mengying Zhao, Lei Jiang, Liang Shi, Youtao Zhang and Chun Jason Xue.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2015.

2013

Hardware Assisted Cooperative Integration of Wear-Leveling and Salvaging for Phase Change Memory
Lei Jiang, Du Yu, Bo Zhao, Youtao Zhang, Bruce R. Childers and Jun Yang.
ACM Transactions on Architecture and Code Optimization (TACO), Volume 10 Issue 2, May 2013.

2010

Hardware/software partitioning and pipelined scheduling on runtime reconfigurable FPGAs
Mingxuan Yuan, Zonghua Gu, Xiuqiang He, Xue Liu and Lei Jiang.
ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 15 Issue 2, February 2010.

2008

Pre-synthesis Resource Generation and Estimation for a Transport-Triggered Architecture (TTA)-Like Architecture
Wei Hu, Yongxin Zhu, Zonghua Gu and Lei Jiang.
Microprocessors and Microsystems (Elsevier), Volume 32 Issue 4, June 2008.