Qian Lou

114 papers A* 23A 6B 2Journal 64Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
CryptoGen: Secure Transformer Generation with Encrypted KV-Cache Reuse.
CoRR
Hedong Zhang, Neusha Javidnia, Shweta Pardeshi, Qian Lou, Farinaz Koushanfar
2026 J jnl
Efficient Privacy-Preserving Sparse Matrix-Vector Multiplication Using Homomorphic Encryption.
CoRR
Yang Gao, Gang Quan, Wujie Wen, Scott Piersall, Qian Lou, Liqiang Wang
2026 J jnl
Efficient privacy-preserving sparse matrix-vector multiplication using homomorphic encryption.
Inf. Sci.
Yang Gao, Gang Quan, Wujie Wen, Scott Piersall, Qian Lou, Liqiang Wang
2026 J jnl
FHAIM: Fully Homomorphic AIM For Private Synthetic Data Generation.
CoRR
Mayank Kumar, Qian Lou, Paulo Barreto, Martine De Cock, Sikha Pentyala
2026 — conf
Heterogeneous Multi-Agent Reinforcement Learning with Attention for Cooperative and Scalable Feature Transformation.
KDD (1)
Tao Zhe, Huazhen Fang, Kunpeng Liu, Qian Lou, Tamzidul Hoque, Dongjie Wang
2026 J jnl
Learning Latency-Aware Orchestration for Parallel Multi-Agent Systems.
CoRR
Xi Shi, Mengxin Zheng, Qian Lou
2026 J jnl
R2-Router: A New Paradigm for LLM Routing with Reasoning.
CoRR
Jiaqi Xue, Qian Lou, Jiarong Xing, Heng Huang
2026 J jnl
RPP: A Certified Poisoned-Sample Detection Framework for Backdoor Attacks under Dataset Imbalance.
CoRR
Miao Lin, Feng Yu, Rui Ning, Lusi Li, Jiawei Chen, Qian Lou, Mengxin Zheng, Chunsheng Xin, Hongyi Wu
2026 — conf
ReliaFHE: Resilient Design for Fully Homomorphic Encryption Accelerators.
ASPLOS (2)
Fan Li, Mayank Kumar, Ruizhi Zhu, Mengxin Zheng, Qian Lou, Xin Xin
2026 J jnl
RobPI: Robust Private Inference against Malicious Client.
CoRR
Jiaqi Xue, Mengxin Zheng, Qian Lou
2026 J jnl
ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning.
Trans. Mach. Learn. Res.
Shangqian Gao, Ting Hua, Reza Shirkavand, Chi-Heng Lin, Zheng Tang, Zhengao Li, Longge Yuan, Fangyi Li, Zeyu Zhang, Alireza Ganjdanesh, Qian Lou, Jie Xu, Yen-Chang Hsu
2025 A* conf
CipherPrune: Efficient and Scalable Private Transformer Inference.
ICLR
Yancheng Zhang, Jiaqi Xue, Mengxin Zheng, Mimi Xie, Mingzhe Zhang, Lei Jiang, Qian Lou
2025 J jnl
CipherPrune: Efficient and Scalable Private Transformer Inference.
CoRR
Yancheng Zhang, Jiaqi Xue, Mengxin Zheng, Mimi Xie, Mingzhe Zhang, Lei Jiang, Qian Lou
2025 — conf
Corrosion Hammer: A Self-Activated Bit-Flip Attack to the Processing-In-Memory Accelerator.
CF
Zihao Yang, Mengxin Zheng, Shengyu Fan, Qian Lou, Rui Hou, Dan Meng, Mingzhe Zhang
2025 J jnl
Corrosion Hammer: a self-activated bit-flip attack to the processing-in-memory accelerator.
Cybersecur.
Zihao Yang, Mengxin Zheng, Shengyu Fan, Qian Lou, Rui Hou, Dan Meng, Mingzhe Zhang
2025 J jnl
DAHE: Parameter-Adaptive and Memory Efficient FPGA Acceleration of Homomorphic Encryption.
IEEE Trans. Computers
Yilan Zhu, Honghui You, Wei Zhang, Jiming Xu, Qian Lou, Shoumeng Yan, Lei Ju
2025 J jnl
DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning.
CoRR
Kaixiang Zhao, Joseph Yousry Attalla, Qian Lou, Yushun Dong
2025 A* conf
DataSeal: Ensuring the Verifiability of Private Computation on Encrypted Data.
SP
Muhammad Husni Santriaji, Jiaqi Xue, Yancheng Zhang, Qian Lou, Yan Solihin
2025 J jnl
DictPFL: Efficient and Private Federated Learning on Encrypted Gradients.
CoRR
Jiaqi Xue, Mayank Kumar, Yuzhang Shang, Shangqian Gao, Rui Ning, Mengxin Zheng, Xiaoqian Jiang, Qian Lou
2025 J jnl
DiffQ: Unified Parameter Initialization for Variational Quantum Algorithms via Diffusion Models.
CoRR
Chi Zhang, Mengxin Zheng, Qian Lou, Fan Chen
2025 — conf
Evaluating the Robustness and Accuracy of Text Watermarking Under Real-World Cross-Lingual Manipulations.
EMNLP (Findings)
Mansour Al Ghanim, Jiaqi Xue, Rochana Prih Hastuti, Mengxin Zheng, Yan Solihin, Qian Lou
2025 — conf
Factuality Beyond Coherence: Evaluating LLM Watermarking Methods for Medical Texts.
EMNLP (Findings)
Rochana Prih Hastuti, Rian Adam Rajagede, Mansour Al Ghanim, Mengxin Zheng, Qian Lou
2025 J jnl
Factuality Beyond Coherence: Evaluating LLM Watermarking Methods for Medical Texts.
CoRR
Rochana Prih Hastuti, Rian Adam Rajagede, Mansour Al Ghanim, Mengxin Zheng, Qian Lou
2025 J jnl
Heterogeneous Multi-Agent Reinforcement Learning with Attention for Cooperative and Scalable Feature Transformation.
CoRR
Tao Zhe, Huazhen Fang, Kunpeng Liu, Qian Lou, Tamzidul Hoque, Dongjie Wang
2025 J jnl
Measuring Computational Universality of Fully Homomorphic Encryption.
CoRR
Jiaqi Xue, Xin Xin, Wei Zhang, Mengxin Zheng, Qianqian Song, Minxuan Zhou, Yushun Dong, Dongjie Wang, Xun Chen, Jiafeng Xie, Liqiang Wang, David Mohaisen, Hongyi Wu, Qian Lou
2025 J jnl
PIR-RAG: A System for Private Information Retrieval in Retrieval-Augmented Generation.
CoRR
Baiqiang Wang, Qian Lou, Mengxin Zheng, Dongfang Zhao
2025 J jnl
PRO: Enabling Precise and Robust Text Watermark for Open-Source LLMs.
CoRR
Jiaqi Xue, Yifei Zhao, Mansour Al Ghanim, Shangqian Gao, Ruimin Sun, Qian Lou, Mengxin Zheng
2025 J jnl
Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators.
CoRR
Jiaqi Xue, Yifei Zhao, Mengxin Zheng, Fan Yao, Yan Solihin, Qian Lou
2025 J jnl
TFHE-Coder: Evaluating LLM-agentic Fully Homomorphic Encryption Code Generation.
CoRR
Mayank Kumar, Jiaqi Xue, Mengxin Zheng, Qian Lou
2025 J jnl
ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning.
CoRR
Shangqian Gao, Ting Hua, Reza Shirkavand, Chi-Heng Lin, Zhen Tang, Zhengao Li, Longge Yuan, Fangyi Li, Zeyu Zhang, Alireza Ganjdanesh, Qian Lou, Xu Jie, Yen-Chang Hsu
2025 J jnl
Towards Safe AI Clinicians: A Comprehensive Study on Large Language Model Jailbreaking in Healthcare.
CoRR
Hang Zhang, Qian Lou, Yanshan Wang
2025 J jnl
Uncovering the Hidden Threat of Text Watermarking from Users with Cross-Lingual Knowledge.
CoRR
Mansour Al Ghanim, Jiaqi Xue, Rochana Prih Hastuti, Mengxin Zheng, Yan Solihin, Qian Lou
2025 J jnl
VQEzy: An Open-Source Dataset for Parameter Initialization in Variational Quantum Eigensolvers.
CoRR
Chi Zhang, Mengxin Zheng, Qian Lou, Hui Min Leung, Fan Chen
2025 A* conf
zkVC: Fast Zero-Knowledge Proof for Private and Verifiable Computing.
DAC
Yancheng Zhang, Mengxin Zheng, Xun Chen, Jingtong Hu, Weidong Shi, Lei Ju, Yan Solihin, Qian Lou
2025 J jnl
zkVC: Fast Zero-Knowledge Proof for Private and Verifiable Computing.
CoRR
Yancheng Zhang, Mengxin Zheng, Xun Chen, Jingtong Hu, Weidong Shi, Lei Ju, Yan Solihin, Qian Lou
2024 — conf
BadFair: Backdoored Fairness Attacks with Group-conditioned Triggers.
EMNLP (Findings)
Jiaqi Xue, Qian Lou, Mengxin Zheng
2024 J jnl
BadFair: Backdoored Fairness Attacks with Group-conditioned Triggers.
CoRR
Jiaqi Xue, Qian Lou, Mengxin Zheng
2024 J jnl
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models.
CoRR
Jiaqi Xue, Mengxin Zheng, Yebowen Hu, Fei Liu, Xun Chen, Qian Lou
2024 B conf
BoostCom: Towards Efficient Universal Fully Homomorphic Encryption by Boosting the Word-wise Comparisons.
PACT
Ardhi Wiratama Baskara Yudha, Jiaqi Xue, Qian Lou, Huiyang Zhou, Yan Solihin
2024 J jnl
BoostCom: Towards Efficient Universal Fully Homomorphic Encryption by Boosting the Word-wise Comparisons.
CoRR
Ardhi Wiratama Baskara Yudha, Jiaqi Xue, Qian Lou, Huiyang Zhou, Yan Solihin
2024 — conf
CR-UTP: Certified Robustness against Universal Text Perturbations on Large Language Models.
ACL (Findings)
Qian Lou, Xin Liang, Jiaqi Xue, Yancheng Zhang, Rui Xie, Mengxin Zheng
2024 J jnl
CR-UTP: Certified Robustness against Universal Text Perturbations on Large Language Models.
CoRR
Qian Lou, Xin Liang, Jiaqi Xue, Yancheng Zhang, Rui Xie, Mengxin Zheng
2024 — conf
CryptoTrain: Fast Secure Training on Encrypted Dataset.
LAMPS@CCS
Jiaqi Xue, Yancheng Zhang, Yanshan Wang, Xueqiang Wang, Hao Zheng, Qian Lou
2024 J jnl
CryptoTrain: Fast Secure Training on Encrypted Dataset.
CoRR
Jiaqi Xue, Yancheng Zhang, Yanshan Wang, Xueqiang Wang, Hao Zheng, Qian Lou
2024 J jnl
DataSeal: Ensuring the Verifiability of Private Computation on Encrypted Data.
CoRR
Muhammad Husni Santriaji, Jiaqi Xue, Qian Lou, Yan Solihin
2024 — conf
HEBridge: Connecting Arithmetic and Logic Operations in FV-style HE Schemes.
WAHC@CCS
Yancheng Zhang, Xun Chen, Qian Lou
2024 A* conf
HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning.
NeurIPS
Yancheng Zhang, Mengxin Zheng, Yuzhang Shang, Xun Chen, Qian Lou
2024 A* conf
Jailbreaking LLMs with Arabic Transliteration and Arabizi.
EMNLP
Mansour Al Ghanim, Saleh Almohaimeed, Mengxin Zheng, Yan Solihin, Qian Lou
2024 J jnl
Jailbreaking LLMs with Arabic Transliteration and Arabizi.
CoRR
Mansour Al Ghanim, Saleh Almohaimeed, Mengxin Zheng, Yan Solihin, Qian Lou
2024 A conf
OFHE: An Electro-Optical Accelerator for Discretized TFHE.
ISLPED
Mengxin Zheng, Cheng Chu, Qian Lou, Nathan Youngblood, Mo Li, Sajjad Moazeni, Lei Jiang
2024 J jnl
OFHE: An Electro-Optical Accelerator for Discretized TFHE.
CoRR
Mengxin Zheng, Cheng Chu, Qian Lou, Nathan Youngblood, Mo Li, Sajjad Moazeni, Lei Jiang
2024 — conf
SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning.
ECCV (87)
Mengxin Zheng, Jiaqi Xue, Zihao Wang, Xun Chen, Qian Lou, Lei Jiang, Xiaofeng Wang
2024 A* conf
Trinity: A General Purpose FHE Accelerator.
MICRO
Xianglong Deng, Shengyu Fan, Zhicheng Hu, Zhuoyu Tian, Zihao Yang, Jiangrui Yu, Dingyuan Cao, Dan Meng, Rui Hou, Meng Li, Qian Lou, Mingzhe Zhang
2024 J jnl
Trinity: A General Purpose FHE Accelerator.
CoRR
Xianglong Deng, Shengyu Fan, Zhicheng Hu, Zhuoyu Tian, Zihao Yang, Jiangrui Yu, Dingyuan Cao, Dan Meng, Rui Hou, Meng Li, Qian Lou, Mingzhe Zhang
2024 — conf
TrojFSP: Trojan Insertion in Few-shot Prompt Tuning.
NAACL-HLT
Mengxin Zheng, Jiaqi Xue, Xun Chen, Yanshan Wang, Qian Lou, Lei Jiang
2024 — conf
TrojFair: Trojan Fairness Attacks.
LAMPS@CCS
Jiaqi Xue, Mengxin Zheng, Yi Sheng, Lei Yang, Qian Lou, Lei Jiang
2024 — conf
WBP: Training-Time Backdoor Attacks Through Hardware-Based Weight Bit Poisoning.
ECCV (65)
Kunbei Cai, Zhenkai Zhang, Qian Lou, Fan Yao
2024 J jnl
freePruner: A Training-free Approach for Large Multimodal Model Acceleration.
CoRR
Bingxin Xu, Yuzhang Shang, Yunhao Ge, Qian Lou, Yan Yan
2023 — conf
Cryptography-Inspired Federated Learning for Generative Adversarial Networks and Meta Learning.
ADMA (2)
Yu Zheng, Wei Song, Minxin Du, Sherman S. M. Chow, Qian Lou, Yongjun Zhao, Xiuhua Wang
2023 — conf
PriML: An Electro-Optical Accelerator for Private Machine Learning on Encrypted Data.
ISQED
Mengxin Zheng, Fan Chen, Lei Jiang, Qian Lou
2023 A* conf
Primer: Fast Private Transformer Inference on Encrypted Data.
DAC
Mengxin Zheng, Qian Lou, Lei Jiang
2023 J jnl
Primer: Fast Private Transformer Inference on Encrypted Data.
CoRR
Mengxin Zheng, Qian Lou, Lei Jiang
2023 J jnl
SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning.
CoRR
Mengxin Zheng, Jiaqi Xue, Xun Chen, Lei Jiang, Qian Lou
2023 A conf
TrojBits: A Hardware Aware Inference-Time Attack on Transformer-Based Language Models.
ECAI
Mansour Al Ghanim, Muhammad Santriaji, Qian Lou, Yan Solihin
2023 J jnl
TrojFSP: Trojan Insertion in Few-shot Prompt Tuning.
CoRR
Mengxin Zheng, Jiaqi Xue, Xun Chen, Yanshan Wang, Qian Lou, Lei Jiang
2023 J jnl
TrojFair: Trojan Fairness Attacks.
CoRR
Mengxin Zheng, Jiaqi Xue, Yi Sheng, Lei Yang, Qian Lou, Lei Jiang
2023 A* conf
TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models.
NeurIPS
Jiaqi Xue, Mengxin Zheng, Ting Hua, Yilin Shen, Yepeng Liu, Ladislau Bölöni, Qian Lou
2023 J jnl
TrojPrompt: A Black-box Trojan Attack on Pre-trained Language Models.
CoRR
Jiaqi Xue, Yepeng Liu, Mengxin Zheng, Ting Hua, Yilin Shen, Ladislau Bölöni, Qian Lou
2023 A* conf
TrojText: Test-time Invisible Textual Trojan Insertion.
ICLR
Qian Lou, Yepeng Liu, Bo Feng
2023 J jnl
TrojText: Test-time Invisible Textual Trojan Insertion.
CoRR
Yepeng Liu, Bo Feng, Qian Lou
2023 A* conf
TrojViT: Trojan Insertion in Vision Transformers.
CVPR
Mengxin Zheng, Qian Lou, Lei Jiang
2023 J jnl
vFHE: Verifiable Fully Homomorphic Encryption with Blind Hash.
CoRR
Qian Lou, Muhammad Santriaji, Ardhi Wiratama Baskara Yudha, Jiaqi Xue, Yan Solihin
2022 J jnl
Audit and Improve Robustness of Private Neural Networks on Encrypted Data.
CoRR
Jiaqi Xue, Lei Xu, Lin Chen, Weidong Shi, Kaidi Xu, Qian Lou
2022 — conf
CryptoLight: An Electro-Optical Accelerator for Fully Homomorphic Encryption.
NANOARCH
Mengxin Zheng, Qian Lou, Fan Chen, Lei Jiang, Yongxin Zhu
2022 J jnl
CryptoLight: An Electro-Optical Accelerator for Fully Homomorphic Encryption.
CoRR
Mengxin Zheng, Qian Lou, Fan Chen, Lei Jiang, Yongxin Zhu
2022 A* conf
DictFormer: Tiny Transformer with Shared Dictionary.
ICLR
Qian Lou, Ting Hua, Yen-Chang Hsu, Yilin Shen, Hongxia Jin
2022 J jnl
ESTAS: Effective and Stable Trojan Attacks in Self-supervised Encoders with One Target Unlabelled Sample.
CoRR
Jiaqi Xue, Qian Lou
2022 A* conf
Language model compression with weighted low-rank factorization.
ICLR
Yen-Chang Hsu, Ting Hua, Sungen Chang, Qian Lou, Yilin Shen, Hongxia Jin
2022 J jnl
Language model compression with weighted low-rank factorization.
CoRR
Yen-Chang Hsu, Ting Hua, Sungen Chang, Qian Lou, Yilin Shen, Hongxia Jin
2022 A* conf
Lite-MDETR: A Lightweight Multi-Modal Detector.
CVPR
Qian Lou, Yen-Chang Hsu, Burak Uzkent, Ting Hua, Yilin Shen, Hongxia Jin
2022 J jnl
MATCHA: A Fast and Energy-Efficient Accelerator for Fully Homomorphic Encryption over the Torus.
CoRR
Lei Jiang, Qian Lou, Nrushad Joshi
2022 A* conf
MATCHA: a fast and energy-efficient accelerator for fully homomorphic encryption over the torus.
DAC
Lei Jiang, Qian Lou, Nrushad Joshi
2022 J jnl
Numerical Optimizations for Weighted Low-rank Estimation on Language Model.
CoRR
Ting Hua, Yen-Chang Hsu, Felicity Wang, Qian Lou, Yilin Shen, Hongxia Jin
2022 A* conf
Numerical Optimizations for Weighted Low-rank Estimation on Language Models.
EMNLP
Ting Hua, Yen-Chang Hsu, Felicity Wang, Qian Lou, Yilin Shen, Hongxia Jin
2022 J jnl
TrojViT: Trojan Insertion in Vision Transformers.
CoRR
Mengxin Zheng, Qian Lou, Lei Jiang
2022 J jnl
Underwater image enhancement based on color-line model and homomorphic filtering.
Signal Image Video Process.
Haifeng Yu, Xinbin Li, Qian Lou, Lei Yan
2022 A conf
coxHE: A software-hardware co-design framework for FPGA acceleration of homomorphic computation.
DATE
Mingqin Han, Yilan Zhu, Qian Lou, Zimeng Zhou, Shanqing Guo, Lei Ju
2021 A* conf
Automatic Mixed-Precision Quantization Search of BERT.
IJCAI
Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin
2021 J jnl
Automatic Mixed-Precision Quantization Search of BERT.
CoRR
Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin
2021 — conf
CRYPTOGRU: Low Latency Privacy-Preserving Text Analysis With GRU.
EMNLP (1)
Bo Feng, Qian Lou, Lei Jiang, Geoffrey C. Fox
2021 A* conf
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture.
ICML
Qian Lou, Lei Jiang
2021 J jnl
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture.
CoRR
Qian Lou, Lei Jiang
2021 J jnl
How to Accelerate Capsule Convolutions in Capsule Networks.
CoRR
Zhenhua Chen, Xiwen Li, Qian Lou, David J. Crandall
2021 A* conf
SAFENet: A Secure, Accurate and Fast Neural Network Inference.
ICLR
Qian Lou, Yilin Shen, Hongxia Jin, Lei Jiang
2021 J jnl
Underwater image restoration based on modified color-line model.
J. Electronic Imaging
Xinbin Li, Qian Lou, Haifeng Yu, Song Han, Lei Yan
2020 A* conf
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference.
NeurIPS
Qian Lou, Song Bian, Lei Jiang
2020 J jnl
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference.
CoRR
Qian Lou, Song Bian, Lei Jiang
2020 A* conf
AutoQ: Automated Kernel-Wise Neural Network Quantization.
ICLR
Qian Lou, Feng Guo, Minje Kim, Lantao Liu, Lei Jiang
2020 J jnl
CryptoGRU: Low Latency Privacy-Preserving Text Analysis With GRU.
CoRR
Bo Feng, Qian Lou, Lei Jiang, Geoffrey C. Fox
2020 A* conf
Falcon: Fast Spectral Inference on Encrypted Data.
NeurIPS
Qian Lou, Wen-jie Lu, Cheng Hong, Lei Jiang
2020 A* conf
Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data.
NeurIPS
Qian Lou, Bo Feng, Geoffrey Charles Fox, Lei Jiang
2020 B conf
Helix: Algorithm/Architecture Co-design for Accelerating Nanopore Genome Base-calling.
PACT
Qian Lou, Sarath Chandra Janga, Lei Jiang
2020 J jnl
Helix: Algorithm/Architecture Co-design for Accelerating Nanopore Genome Base-calling.
CoRR
Qian Lou, Sarath Chandra Janga, Lei Jiang
2020 A conf
LightBulb: A Photonic-Nonvolatile-Memory-based Accelerator for Binarized Convolutional Neural Networks.
DATE
Farzaneh Zokaee, Qian Lou, Nathan Youngblood, Weichen Liu, Yiyuan Xie, Lei Jiang
2020 — conf
MindReading: An Ultra-Low-Power Photonic Accelerator for EEG-based Human Intention Recognition.
ASP-DAC
Qian Lou, Wenyang Liu, Weichen Liu, Feng Guo, Lei Jiang
2020 J jnl
Underwater image enhancement based on DCP and depth transmission map.
Multim. Tools Appl.
Haifeng Yu, Xinbin Li, Qian Lou, Chengbo Lei, Zhixin Liu
2019 J jnl
AutoQB: AutoML for Network Quantization and Binarization on Mobile Devices.
CoRR
Qian Lou, Lantao Liu, Minje Kim, Lei Jiang
2019 J jnl
Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data.
CoRR
Qian Lou, Bo Feng, Geoffrey C. Fox, Lei Jiang
2019 A conf
HolyLight: A Nanophotonic Accelerator for Deep Learning in Data Centers.
DATE
Weichen Liu, Wenyang Liu, Yichen Ye, Qian Lou, Yiyuan Xie, Lei Jiang
2019 A* conf
SHE: A Fast and Accurate Deep Neural Network for Encrypted Data.
NeurIPS
Qian Lou, Lei Jiang
2019 J jnl
SHE: A Fast and Accurate Privacy-Preserving Deep Neural Network Via Leveled TFHE and Logarithmic Data Representation.
CoRR
Qian Lou, Lei Jiang
2018 A conf
3DICT: a reliable and QoS capable mobile process-in-memory architecture for lookup-based CNNs in 3D XPoint ReRAMs.
ICCAD
Qian Lou, Wujie Wen, Lei Jiang
2018 J jnl
BRAWL: A Spintronics-Based Portable Basecalling-in-Memory Architecture for Nanopore Genome Sequencing.
IEEE Comput. Archit. Lett.
Qian Lou, Lei Jiang
2017 — conf
Runtime and reconfiguration dual-aware placement for SRAM-NVM hybrid FPGAs.
NVMSA
Qian Lou, Mengying Zhao, Lei Ju, Chun Jason Xue, Jingtong Hu, Zhiping Jia