Backdoor Threats in Variational Quantum Circuits: Taxonomy, Attacks, and Defenses L Jiang, F Chen arXiv preprint arXiv:2605.13796 , 2026 2026
LLMSpace: Carbon Footprint Modeling for Large Language Model Inference on LEO Satellites L Jiang, A Ildefonso, D Loveless, F Chen arXiv preprint arXiv:2605.05615 , 2026 2026
CO2-Meter: A Comprehensive Carbon Footprint Estimator for LLMs on Edge Devices Z Fu, F Chen, L Jiang Proceedings of the AAAI Conference on Artificial Intelligence 40 (45), 38469 … , 2026 2026 Citations: 2
QNBAD: Quantum Noise-induced Backdoor Attacks against Zero Noise Extrapolation C Chu, Q Lou, F Chen, L Jiang Network and Distributed System Security (NDSS) Symposium , 2026 2026 Citations: 1
BVQC: A backdoor-style watermarking scheme for variational quantum circuits C Chu, L Jiang, F Chen 2025 IEEE International Conference on Quantum Computing and Engineering (QCE … , 2025 2025 Citations: 5
QSeer: A Quantum-Inspired Graph Neural Network for Parameter Initialization in Quantum Approximate Optimization Algorithm Circuits L Jiang, C Zhang, F Chen 2025 IEEE International Conference on Quantum Computing and Engineering (QCE … , 2025 2025 Citations: 4
Qracle: A graph-neural-network-based parameter initializer for variational quantum eigensolvers C Zhang, L Jiang, F Chen 2025 IEEE International Conference on Quantum Computing and Engineering (QCE … , 2025 2025 Citations: 6
QAgent: An LLM-based Multi-Agent System for Autonomous OpenQASM programming Z Fu, F Chen, L Jiang arXiv preprint arXiv:2508.20134 , 2025 2025 Citations: 4
CarbonScaling: Extending Neural Scaling Laws for Carbon Footprint in Large Language Models L Jiang, F Chen arXiv preprint arXiv:2508.06524 , 2025 2025 Citations: 3
LLMCO 2 : Advancing Accurate Carbon Footprint Prediction for LLM Inferences Z Fu, F Chen, S Zhou, H Li, L Jiang ACM SIGENERGY Energy Informatics Review 5 (2), 63-68 , 2025 2025 Citations: 44
Cipherprune: Efficient and scalable private transformer inference Y Zhang, J Xue, M Zheng, M Xie, M Zhang, L Jiang, Q Lou The Thirteenth International Conference on Learning Representations , 2025 2025 Citations: 23
Sepaint: Semantic map inpainting via multinomial diffusion Z Chen, D Duggirala, D Crandall, L Jiang, L Liu 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems … , 2024 2024 Citations: 4
Special session: End-to-end carbon footprint assessment and modeling of deep learning A Faiz, L Jiang, F Chen 2024 International Conference on Hardware/Software Codesign and System … , 2024 2024 Citations: 2
Ssl-cleanse: Trojan detection and mitigation in self-supervised learning M Zheng, J Xue, Z Wang, X Chen, Q Lou, L Jiang, X Wang European Conference on Computer Vision, 405-421 , 2024 2024 Citations: 34
Multi-stage watermarking for quantum circuits M Yang, X Guo, L Jiang 2024 IEEE International Conference on Quantum Computing and Engineering (QCE … , 2024 2024 Citations: 14
OFHE: an electro-optical accelerator for discretized TFHE M Zheng, C Chu, Q Lou, N Youngblood, M Li, S Moazeni, L Jiang Proceedings of the 29th ACM/IEEE International Symposium on Low Power … , 2024 2024 Citations: 6
TITAN: A fast and distributed large-scale trapped-ion NISQ computer C Chu, Z Fu, Y Xu, G Huang, H Muller, F Chen, L Jiang Proceedings of the 61st ACM/IEEE Design Automation Conference, 1-6 , 2024 2024 Citations: 14
Trojfsp: Trojan insertion in few-shot prompt tuning M Zheng, J Xue, X Chen, Y Wang, Q Lou, L Jiang Proceedings of the 2024 Conference of the North American Chapter of the … , 2024 2024 Citations: 11
IoTCO2: Assessing the End-To-End Carbon Footprint of Internet-of-Things-Enabled Deep Learning F Chen, S Attari, G Buck, F Chen, L Jiang arXiv preprint arXiv:2403.10984 , 2024 2024 Citations: 6
Nisq quantum computing: A security-centric tutorial and survey [feature] F Chen, L Jiang, H Müller, P Richerme, C Chu, Z Fu, M Yang IEEE Circuits and Systems Magazine 24 (1), 14-32 , 2024 2024 Citations: 39
MOST CITED SCHOLAR PUBLICATIONS
Llmcarbon: Modeling the end-to-end carbon footprint of large language models A Faiz, S Kaneda, R Wang, R Osi, P Sharma, F Chen, L Jiang The Twelfth International Conference on Learning Representations , 2024 2024 Citations: 296
Improving write operations in MLC phase change memory L Jiang, B Zhao, Y Zhang, J Yang, BR Childers IEEE International Symposium on High-Performance Comp Architecture, 1-10 , 2012 2012 Citations: 215
DrAcc: A DRAM based accelerator for accurate CNN inference Q Deng, L Jiang, Y Zhang, M Zhang, J Yang Proceedings of the 55th annual design automation conference, 1-6 , 2018 2018 Citations: 214
SHE: A Fast and Accurate Deep Neural Network for Encrypted Data Q Lou, L Jiang Advances in Neural Information Processing Systems (NeurIPS) 2019 32, 10035-10043 , 2019 2019 Citations: 209
AutoQ: Automated Kernel-Wise Neural Network Quantization Q Lou, L Liu, M Kim, L Jiang International Conference on Learning Representations (ICLR) 2020 , 2019 2019 Citations: 168
Holylight: A nanophotonic accelerator for deep learning in data centers W Liu, W Liu, Y Ye, Q Lou, Y Xie, L Jiang 2019 design, automation & test in europe conference & exhibition (DATE … , 2019 2019 Citations: 139
Acoustic metamaterials-driven transdermal drug delivery for rapid and on-demand management of acute disease J Xu, H Cai, Z Wu, X Li, C Tian, Z Ao, VC Niu, X Xiao, L Jiang, M Khodoun, ... Nature communications 14 (1), 869 , 2023 2023 Citations: 138
DeepN-JPEG: A deep neural network favorable JPEG-based image compression framework Z Liu, T Liu, W Wen, L Jiang, J Xu, Y Wang, G Quan Proceedings of the 55th annual design automation conference, 1-6 , 2018 2018 Citations: 134
Glyph: Fast and accurately training deep neural networks on encrypted data Q Lou, B Feng, GC Fox, L Jiang Advances in Neural Information Processing Systems 33 , 2020 2020 Citations: 133
Hemet: A homomorphic-encryption-friendly privacy-preserving mobile neural network architecture Q Lou, L Jiang International conference on machine learning, 7102-7110 , 2021 2021 Citations: 118
A fault-tolerant neural network architecture T Liu, W Wen, L Jiang, Y Wang, C Yang, G Quan Proceedings of the 56th Annual Design Automation Conference 2019, 1-6 , 2019 2019 Citations: 113
Trojvit: Trojan insertion in vision transformers M Zheng, Q Lou, L Jiang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern … , 2023 2023 Citations: 100
MATCHA: A Fast and Energy-Efficient Accelerator for Fully Homomorphic Encryption over the Torus L Jiang, Q Lou, N Joshi Proceedings of the 59th ACM/IEEE Design Automation Conference, 235--240 , 2022 2022 Citations: 100
XNOR-POP: A processing-in-memory architecture for binary Convolutional Neural Networks in Wide-IO2 DRAMs L Jiang, M Kim, W Wen, D Wang 2017 IEEE/ACM International Symposium on Low Power Electronics and Design … , 2017 2017 Citations: 97
SAFENET: A Secure, accurate and fast neural network inference Q Lou, Y Shen, H Jin, L Jiang International Conference on Learning Representations, 6 , 2021 2021 Citations: 96
Mitigating write disturbance in super-dense phase change memories L Jiang, Y Zhang, J Yang 2014 44th Annual IEEE/IFIP International Conference on Dependable Systems … , 2014 2014 Citations: 96
Constructing large and fast multi-level cell STT-MRAM based cache for embedded processors L Jiang, B Zhao, Y Zhang, J Yang Proceedings of the 49th Annual Design Automation Conference, 907-912 , 2012 2012 Citations: 95
FPB: Fine-grained power budgeting to improve write throughput of multi-level cell phase change memory L Jiang, Y Zhang, BR Childers, J Yang 2012 45th Annual IEEE/ACM International Symposium on Microarchitecture, 1-12 , 2012 2012 Citations: 87
SD-PCM: Constructing reliable super dense phase change memory under write disturbance R Wang, L Jiang, Y Zhang, J Yang ACM SIGARCH Computer Architecture News 43 (1), 19-31 , 2015 2015 Citations: 67
Selective restore: An energy efficient read disturbance mitigation scheme for future STT-MRAM R Wang, L Jiang, Y Zhang, L Wang, J Yang Proceedings of the 52nd Annual Design Automation Conference, 1-6 , 2015 2015 Citations: 60
