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Lei Jiang 0001
Person information
- affiliation: Indiana University Bloomington, USA
Other persons with the same name
- Lei Jiang — disambiguation page
- Lei Jiang 0002 — University of Toronto, Canada
- Lei Jiang 0003
— University of Chinese Academy of Sciences, Beijing, China
- Lei Jiang 0004 — West Virginia University, Morgantown, WV, USA
- Lei Jiang 0005 — Fraunhofer Inst. for Telecommun., Heinrich Hertz Inst., Berlin, Germany
- Lei Jiang 0006 — NEC, China
- Lei Jiang 0007
- Lei Jiang 0008 — Autonomous University of Barcelona, Spain
- Lei Jiang 0009 — PLA University of Science and Technology, Nanjing, China
- Lei Jiang 0010 — Louisiana State University, Baton Rouge, LA, USA
- Lei Jiang 0011 — CAS, Institute of Electrical Engineering, Beijing, China
- Lei Jiang 0012 — CAS, Institute of Remote Sensing and Digital Earth, Beijing, China
- Lei Jiang 0013 — Intel Corporation, Hillsboro, OR, USA (and 1 more)
- Lei Jiang 0014 — Alcatel-Lucent Shanghai Bell, Shanghai, China
- Lei Jiang 0015
- Lei Jiang 0016 — Donghua University, Shanghai, China
- Lei Jiang 0017
- Lei Jiang 0018
- Lei Jiang 0019 — China North Vehicle Research Institute, Beijing, China (and 1 more)
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2020 – today
- 2024
- [c63]Ahmad Faiz, Lei Jiang, Fan Chen:
Special Session: End-To-End Carbon Footprint Assessment and Modeling of Deep Learning. CODES+ISSS 2024: 7-10 - [c62]Cheng Chu
TITAN: A Fast and Distributed Large-Scale Trapped-Ion NISQ Computer. DAC 2024: 54:1-54:6 - [c61]Mengxin Zheng, Jiaqi Xue, Zihao Wang, Xun Chen, Qian Lou, Lei Jiang, Xiaofeng Wang:
SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning. ECCV (87) 2024: 405-421 - [c60]Ahmad Faiz, Sotaro Kaneda, Ruhan Wang, Rita Chukwunyere Osi, Prateek Sharma, Fan Chen, Lei Jiang:
LLMCarbon: Modeling the End-to-End Carbon Footprint of Large Language Models. ICLR 2024 - [c59]Mengxin Zheng
OFHE: An Electro-Optical Accelerator for Discretized TFHE. ISLPED 2024: 1-6 - [c58]Jiaqi Xue
TrojFair: Trojan Fairness Attacks. LAMPS@CCS 2024: 47-56 - [i32]Cheng Chu, Zhenxiao Fu, Yilun Xu, Gang Huang, Hausi A. Müller, Fan Chen, Lei Jiang:
TITAN: A Distributed Large-Scale Trapped-Ion NISQ Computer. CoRR abs/2402.11021 (2024) - [i31]Ahmad Faiz, Shahzeen Attari, Gayle Buck, Fan Chen, Lei Jiang:
IoTCO2: Assessing the End-To-End Carbon Footprint of Internet-of-Things-Enabled Deep Learning. CoRR abs/2403.10984 (2024) - [i30]Zhenxiao Fu, Fan Chen, Shan Zhou, Haitong Li, Lei Jiang:
LLMCO2: Advancing Accurate Carbon Footprint Prediction for LLM Inferences. CoRR abs/2410.02950 (2024) - 2023
- [j11]Farzaneh Zokaee
Sky-Sorter: A Processing-in-Memory Architecture for Large-Scale Sorting. IEEE Trans. Computers 72(2): 480-493 (2023) - [c57]Mengxin Zheng, Qian Lou, Lei Jiang:
TrojViT: Trojan Insertion in Vision Transformers. CVPR 2023: 4025-4034 - [c56]Mengxin Zheng, Qian Lou, Lei Jiang:
Primer: Fast Private Transformer Inference on Encrypted Data. DAC 2023: 1-6 - [c55]Cheng Chu, Lei Jiang, Martin Swany
QTROJAN: A Circuit Backdoor Against Quantum Neural Networks. ICASSP 2023: 1-5 - [c54]Mengxin Zheng, Fan Chen, Lei Jiang, Qian Lou:
PriML: An Electro-Optical Accelerator for Private Machine Learning on Encrypted Data. ISQED 2023: 1-7 - [c53]Cheng Chu, Fan Chen, Philip Richerme, Lei Jiang:
QDoor: Exploiting Approximate Synthesis for Backdoor Attacks in Quantum Neural Networks. QCE 2023: 1098-1106 - [c52]Cheng Chu, Lei Jiang, Fan Chen:
CryptoQFL: Quantum Federated Learning on Encrypted Data. QCE 2023: 1231-1237 - [i29]Cheng Chu, Lei Jiang, Martin Swany, Fan Chen:
QTrojan: A Circuit Backdoor Against Quantum Neural Networks. CoRR abs/2302.08090 (2023) - [i28]Zheng Chen, Deepak Duggirala, David Crandall, Lei Jiang, Lantao Liu:
SePaint: Semantic Map Inpainting via Multinomial Diffusion. CoRR abs/2303.02737 (2023) - [i27]Mengxin Zheng, Jiaqi Xue, Xun Chen, Lei Jiang, Qian Lou:
SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning. CoRR abs/2303.09079 (2023) - [i26]Mengxin Zheng, Qian Lou, Lei Jiang:
Primer: Fast Private Transformer Inference on Encrypted Data. CoRR abs/2303.13679 (2023) - [i25]Cheng Chu, Lei Jiang, Fan Chen:
CryptoQFL: Quantum Federated Learning on Encrypted Data. CoRR abs/2307.07012 (2023) - [i24]Cheng Chu, Fan Chen, Philip Richerme, Lei Jiang:
QDoor: Exploiting Approximate Synthesis for Backdoor Attacks in Quantum Neural Networks. CoRR abs/2307.09529 (2023) - [i23]Ahmad Faiz, Sotaro Kaneda, Ruhan Wang, Rita Chukwunyere Osi, Parteek Sharma, Fan Chen, Lei Jiang:
LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models. CoRR abs/2309.14393 (2023) - [i22]Mengxin Zheng, Jiaqi Xue, Xun Chen, Yanshan Wang, Qian Lou, Lei Jiang:
TrojFSP: Trojan Insertion in Few-shot Prompt Tuning. CoRR abs/2312.10467 (2023) - [i21]Mengxin Zheng, Jiaqi Xue, Yi Sheng, Lei Yang, Qian Lou, Lei Jiang:
TrojFair: Trojan Fairness Attacks. CoRR abs/2312.10508 (2023) - 2022
- [c51]Lei Jiang, Qian Lou, Nrushad Joshi:
MATCHA: a fast and energy-efficient accelerator for fully homomorphic encryption over the torus. DAC 2022: 235-240 - [c50]Cheng Chu, Nai-Hui Chia, Lei Jiang, Fan Chen:
QMLP: An Error-Tolerant Nonlinear Quantum MLP Architecture using Parameterized Two-Qubit Gates. ISLPED 2022: 4:1-4:6 - [c49]Mengxin Zheng
CryptoLight: An Electro-Optical Accelerator for Fully Homomorphic Encryption. NANOARCH 2022: 19:1-19:2 - [i20]Lei Jiang, Qian Lou, Nrushad Joshi:
MATCHA: A Fast and Energy-Efficient Accelerator for Fully Homomorphic Encryption over the Torus. CoRR abs/2202.08814 (2022) - [i19]Lei Jiang, Lei Ju:
FHEBench: Benchmarking Fully Homomorphic Encryption Schemes. CoRR abs/2203.00728 (2022) - [i18]Cheng Chu, Nai-Hui Chia, Lei Jiang, Fan Chen:
QMLP: An Error-Tolerant Nonlinear Quantum MLP Architecture using Parameterized Two-Qubit Gates. CoRR abs/2206.01345 (2022) - [i17]Arash Asadian, Evan Weidner, Lei Jiang:
Self-Supervised Pretraining for Differentially Private Learning. CoRR abs/2206.07125 (2022) - [i16]Mengxin Zheng, Qian Lou, Lei Jiang:
TrojViT: Trojan Insertion in Vision Transformers. CoRR abs/2208.13049 (2022) - [i15]Mengxin Zheng, Qian Lou, Fan Chen, Lei Jiang, Yongxin Zhu:
CryptoLight: An Electro-Optical Accelerator for Fully Homomorphic Encryption. CoRR abs/2211.13780 (2022) - 2021
- [c48]Bo Feng, Qian Lou
CRYPTOGRU: Low Latency Privacy-Preserving Text Analysis With GRU. EMNLP (1) 2021: 2052-2057 - [c47]Lei Jiang, Farzaneh Zokaee:
EXMA: A Genomics Accelerator for Exact-Matching. HPCA 2021: 399-411 - [c46]Qian Lou
SAFENet: A Secure, Accurate and Fast Neural Network Inference. ICLR 2021 - [c45]Qian Lou
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture. ICML 2021: 7102-7110 - [c44]Farzaneh Zokaee, Lei Jiang:
SMART: A Heterogeneous Scratchpad Memory Architecture for Superconductor SFQ-based Systolic CNN Accelerators. MICRO 2021: 912-924 - [i14]Lei Jiang, Farzaneh Zokaee:
EXMA: A Genomics Accelerator for Exact-Matching. CoRR abs/2101.05314 (2021) - [i13]Qian Lou, Lei Jiang:
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture. CoRR abs/2106.00038 (2021) - [i12]Farzaneh Zokaee, Lei Jiang:
SMART: A Heterogeneous Scratchpad Memory Architecture for Superconductor SFQ-based Systolic CNN Accelerators. CoRR abs/2109.01269 (2021) - 2020
- [c43]Qian Lou
Helix: Algorithm/Architecture Co-design for Accelerating Nanopore Genome Base-calling. PACT 2020: 293-304 - [c42]Qian Lou
MindReading: An Ultra-Low-Power Photonic Accelerator for EEG-based Human Intention Recognition. ASP-DAC 2020: 464-469 - [c41]Farzaneh Zokaee, Qian Lou
LightBulb: A Photonic-Nonvolatile-Memory-based Accelerator for Binarized Convolutional Neural Networks. DATE 2020: 1438-1443 - [c40]Farzaneh Zokaee, Lei Jiang:
Mitigating Voltage Drop in Resistive Memories by Dynamic RESET Voltage Regulation and Partition RESET. HPCA 2020: 275-286 - [c39]Qian Lou
AutoQ: Automated Kernel-Wise Neural Network Quantization. ICLR 2020 - [c38]Qian Lou
Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data. NeurIPS 2020 - [c37]Qian Lou
Falcon: Fast Spectral Inference on Encrypted Data. NeurIPS 2020 - [c36]Qian Lou
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference. NeurIPS 2020 - [i11]Qian Lou, Song Bian, Lei Jiang:
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference. CoRR abs/2006.04219 (2020) - [i10]Qian Lou, Sarath Chandra Janga, Lei Jiang:
Helix: Algorithm/Architecture Co-design for Accelerating Nanopore Genome Base-calling. CoRR abs/2008.03107 (2020) - [i9]Bo Feng, Qian Lou, Lei Jiang, Geoffrey C. Fox:
CryptoGRU: Low Latency Privacy-Preserving Text Analysis With GRU. CoRR abs/2010.11796 (2020)
2010 – 2019
- 2019
- [j10]Mingzhe Zhang
Quick-and-Dirty: An Architecture for High-Performance Temporary Short Writes in MLC PCM. IEEE Trans. Computers 68(9): 1365-1375 (2019) - [c35]Farzaneh Zokaee, Mingzhe Zhang, Lei Jiang:
FindeR: Accelerating FM-Index-Based Exact Pattern Matching in Genomic Sequences through ReRAM Technology. PACT 2019: 284-295 - [c34]Tao Liu, Wujie Wen, Lei Jiang, Yanzhi Wang, Chengmo Yang, Gang Quan
A Fault-Tolerant Neural Network Architecture. DAC 2019: 55 - [c33]Farzaneh Zokaee, Mingzhe Zhang, Xiaochun Ye, Dongrui Fan
Magma: A Monolithic 3D Vertical Heterogeneous ReRAM-based Main Memory Architecture. DAC 2019: 115 - [c32]Weichen Liu
HolyLight: A Nanophotonic Accelerator for Deep Learning in Data Centers. DATE 2019: 1483-1488 - [c31]Weichen Liu
Thermal Sensing Using Micro-ring Resonators in Optical Network-on-Chip. DATE 2019: 1611-1614 - [c30]Qian Lou, Lei Jiang:
SHE: A Fast and Accurate Deep Neural Network for Encrypted Data. NeurIPS 2019: 10035-10043 - [i8]Qian Lou, Lantao Liu, Minje Kim, Lei Jiang:
AutoQB: AutoML for Network Quantization and Binarization on Mobile Devices. CoRR abs/1902.05690 (2019) - [i7]Langshi Chen, Jiayu Li, Ariful Azad, Lei Jiang, Madhav V. Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu:
A GraphBLAS Approach for Subgraph Counting. CoRR abs/1903.04395 (2019) - [i6]Qian Lou, Lei Jiang:
SHE: A Fast and Accurate Privacy-Preserving Deep Neural Network Via Leveled TFHE and Logarithmic Data Representation. CoRR abs/1906.00148 (2019) - [i5]Qian Lou, Bo Feng, Geoffrey C. Fox, Lei Jiang:
Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data. CoRR abs/1911.07101 (2019) - 2018
- [j9]Farzaneh Zokaee, Hamid R. Zarandi
AligneR: A Process-in-Memory Architecture for Short Read Alignment in ReRAMs. IEEE Comput. Archit. Lett. 17(2): 237-240 (2018) - [j8]Qian Lou
BRAWL: A Spintronics-Based Portable Basecalling-in-Memory Architecture for Nanopore Genome Sequencing. IEEE Comput. Archit. Lett. 17(2): 241-244 (2018) - [c29]Tao Liu, Lei Jiang, Yier Jin
PT-spike: A precise-time-dependent single spike neuromorphic architecture with efficient supervised learning. ASP-DAC 2018: 568-573 - [c28]Zihao Liu, Tao Liu, Wujie Wen, Lei Jiang, Jie Xu
DeepN-JPEG: a deep neural network favorable JPEG-based image compression framework. DAC 2018: 18:1-18:6 - [c27]Quan Deng, Lei Jiang, Youtao Zhang, Minxuan Zhang, Jun Yang:
DrAcc: a DRAM based accelerator for accurate CNN inference. DAC 2018: 168:1-168:6 - [c26]Adam Duncan, Lei Jiang, Martin Swany
Repurposing SoC analog circuitry for additional COTS hardware security. HOST 2018: 201-204 - [c25]Qian Lou
3DICT: a reliable and QoS capable mobile process-in-memory architecture for lookup-based CNNs in 3D XPoint ReRAMs. ICCAD 2018: 53 - [c24]Lei Jiang, Langshi Chen, Judy Qiu:
Performance Characterization of Multi-threaded Graph Processing Applications on Many-Integrated-Core Architecture. ISPASS 2018: 199-208 - [i4]Tao Liu, Lei Jiang, Yier Jin, Gang Quan
PT-Spike: A Precise-Time-Dependent Single Spike Neuromorphic Architecture with Efficient Supervised Learning. CoRR abs/1803.05109 (2018) - [i3]Zihao Liu, Tao Liu, Wujie Wen, Lei Jiang, Jie Xu, Yanzhi Wang, Gang Quan
DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework. CoRR abs/1803.05788 (2018) - [i2]Langshi Chen, Bo Peng, Sabra Ossen, Anil Vullikanti, Madhav V. Marathe, Lei Jiang, Judy Qiu:
High-Performance Massive Subgraph Counting using Pipelined Adaptive-Group Communication. CoRR abs/1804.09764 (2018) - 2017
- [j7]Sparsh Mittal
Addressing Read-Disturbance Issue in STT-RAM by Data Compression and Selective Duplication. IEEE Comput. Archit. Lett. 16(2): 94-98 (2017) - [j6]Hao Yan, Lei Jiang, Lide Duan, Wei-Ming Lin, Eugene John
FlowPaP and FlowReR: Improving Energy Efficiency and Performance for STT-MRAM-Based Handheld Devices under Read Disturbance. ACM Trans. Embed. Comput. Syst. 16(5s): 132:1-132:20 (2017) - [c23]Langshi Chen, Bo Peng, Bingjing Zhang, Tony Liu
Benchmarking Harp-DAAL: High Performance Hadoop on KNL Clusters. CLOUD 2017: 82-89 - [c22]Zihao Liu, Wujie Wen, Lei Jiang, Yier Jin
A statistical STT-RAM retention model for fast memory subsystem designs. ASP-DAC 2017: 720-725 - [c21]Lei Jiang, Sparsh Mittal
Building a Fast and Power Efficient Inductive Charge Pump System for 3D Stacked Phase Change Memories. ACM Great Lakes Symposium on VLSI 2017: 275-280 - [c20]Mingzhe Zhang, Lunkai Zhang, Lei Jiang, Zhiyong Liu, Frederic T. Chong
Balancing Performance and Lifetime of MLC PCM by Using a Region Retention Monitor. HPCA 2017: 385-396 - [c19]Mingzhe Zhang, Lunkai Zhang, Lei Jiang, Frederic T. Chong
Quick-and-Dirty: Improving Performance of MLC PCM by Using Temporary Short Writes. ICCD 2017: 585-588 - [c18]Lei Jiang, Minje Kim, Wujie Wen, Danghui Wang:
XNOR-POP: A processing-in-memory architecture for binary Convolutional Neural Networks in Wide-IO2 DRAMs. ISLPED 2017: 1-6 - [c17]Lei Zhao, Lei Jiang, Youtao Zhang, Nong Xiao, Jun Yang:
Constructing fast and energy efficient 1TnR based ReRAM crossbar memory. ISQED 2017: 58-64 - [c16]Langshi Chen, Bo Peng, Sabra Ossen, Anil Vullikanti, Madhav V. Marathe, Lei Jiang, Judy Qiu:
High-Performance Massive Subgraph Counting Using Pipelined Adaptive-Group Communication. TopHPC 2017: 173-197 - [i1]Lei Jiang, Langshi Chen, Judy Qiu:
Performance Characterization of Multi-threaded Graph Processing Applications on Intel Many-Integrated-Core Architecture. CoRR abs/1708.04701 (2017) - 2016
- [c15]Lei Jiang, Wujie Wen, Danghui Wang, Lide Duan:
Improving read performance of STT-MRAM based main memories through Smash Read and Flexible Read. ASP-DAC 2016: 31-36 - 2015
- [j5]Mengying Zhao, Lei Jiang, Liang Shi, Youtao Zhang, Chun Jason Xue
Wear Relief for High-Density Phase Change Memory Through Cell Morphing Considering Process Variation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(2): 227-237 (2015) - [j4]Lei Jiang, Bo Zhao, Jun Yang, Youtao Zhang:
Constructing Large and Fast On-Chip Cache for Mobile Processors with Multilevel Cell STT-MRAM Technology. ACM Trans. Design Autom. Electr. Syst. 20(4): 54:1-54:24 (2015) - [c14]Rujia Wang, Lei Jiang, Youtao Zhang, Jun Yang:
SD-PCM: Constructing Reliable Super Dense Phase Change Memory under Write Disturbance. ASPLOS 2015: 19-31 - [c13]Rujia Wang, Lei Jiang, Youtao Zhang, Linzhang Wang, Jun Yang:
Selective restore: an energy efficient read disturbance mitigation scheme for future STT-MRAM. DAC 2015: 21:1-21:6 - [c12]Rujia Wang, Lei Jiang, Youtao Zhang, Linzhang Wang, Jun Yang:
Exploit imbalanced cell writes to mitigate write disturbance in dense phase change memory. DAC 2015: 88:1-88:6 - 2014
- [c11]Mengying Zhao, Lei Jiang, Youtao Zhang, Chun Jason Xue
SLC-enabled Wear Leveling for MLC PCM Considering Process Variation. DAC 2014: 36:1-36:6 - [c10]Lei Jiang, Youtao Zhang, Jun Yang:
Mitigating Write Disturbance in Super-Dense Phase Change Memories. DSN 2014: 216-227 - [c9]Lei Jiang, Bo Zhao, Jun Yang, Youtao Zhang:
A low power and reliable charge pump design for Phase Change Memories. ISCA 2014: 397-408 - 2013
- [j3]Lei Jiang, Yu Du, Bo Zhao, Youtao Zhang, Bruce R. Childers, Jun Yang:
Hardware-Assisted Cooperative Integration of Wear-Leveling and Salvaging for Phase Change Memory. ACM Trans. Archit. Code Optim. 10(2): 7:1-7:25 (2013) - [c8]Qing'an Li
Compiler directed write-mode selection for high performance low power volatile PCM. LCTES 2013: 101-110 - 2012
- [c7]Lei Jiang, Bo Zhao, Youtao Zhang, Jun Yang:
Constructing large and fast multi-level cell STT-MRAM based cache for embedded processors. DAC 2012: 907-912 - [c6]Lei Jiang, Bo Zhao, Youtao Zhang, Jun Yang, Bruce R. Childers:
Improving write operations in MLC phase change memory. HPCA 2012: 201-210 - [c5]Lei Jiang, Youtao Zhang, Jun Yang:
ER: elastic RESET for low power and long endurance MLC based phase change memory. ISLPED 2012: 39-44 - [c4]Lei Jiang, Youtao Zhang, Bruce R. Childers, Jun Yang:
FPB: Fine-grained Power Budgeting to Improve Write Throughput of Multi-level Cell Phase Change Memory. MICRO 2012: 1-12 - 2011
- [c3]Lei Jiang, Yu Du, Youtao Zhang, Bruce R. Childers, Jun Yang:
LLS: Cooperative integration of wear-leveling and salvaging for PCM main memory. DSN 2011: 221-232 - [c2]Lei Jiang, Youtao Zhang, Jun Yang:
Enhancing phase change memory lifetime through fine-grained current regulation and voltage upscaling. ISLPED 2011: 127-132 - 2010
- [j2]Mingxuan Yuan, Zonghua Gu
Hardware/software partitioning and pipelined scheduling on runtime reconfigurable FPGAs. ACM Trans. Design Autom. Electr. Syst. 15(2): 13:1-13:41 (2010)
2000 – 2009
- 2008
- [j1]Wei Hu, Yongxin Zhu, Zonghua Gu
Pre-synthesis resource generation and estimation for transport-triggered architecture (TTA)-like architecture. Microprocess. Microsystems 32(4): 234-242 (2008) - [c1]Lei Jiang, Yongxin Zhu, Yipeng Wei:
Software Pipelining with Minimal Loop Overhead on Transport Triggered Architecture. ICESS 2008: 451-458
Coauthor Index
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