Honglan Jiang

50 papers A* 4A 6C 1Misc 1Journal 25Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
A power-efficient multiplier with fine-grained power management.
Microelectron. J.
Tong Li, Honglan Jiang, Qin Wang, Jianfei Jiang, Zhigang Mao
2026 J jnl
BASS-PLL: A Bandwidth Augmented Sub-Sampling PLL Achieving a Wide Bandwidth Above 30% of the Reference Frequency and a Worst Case FoM
IEEE J. Solid State Circuits
Tong Zhang, Yiwen Zhang, Xueke Cai, Weihao Jie, Yanling Zheng, Deyong Li, Yang Zhao, Yongfu Li, Honglan Jiang, Patrick P. Mercier, Hui Wang
2026 J jnl
LUT-ALMs: Trading Off Accuracy and Power for Approximate Logarithmic Multipliers via LUT Optimization.
IEEE Trans. Computers
Wenhui Zhang, Xinkuang Geng, Xiaolu Hu, Hui Wang, Jianfei Jiang, Qin Wang, Siting Liu, Jie Han, Honglan Jiang
2025 — conf
4.2 A 1.8-to-3.0GHz Fully Integrated All-In-One CMOS Frequency Management Module Achieving -47/+42ppm Inaccuracy from -40 to 95°C and -150/+70ppm After Accelerated Aging.
ISSCC
Runtao Huo, Tong Zhang, Weihao Jie, Yanling Zheng, Deyong Li, Li Gao, Yang Zhao, Honglan Jiang, Yongfu Li, Patrick P. Mercier, Hui Wang
2025 A conf
A Low-Power Mixed-Precision Integrated Multiply-Accumulate Architecture for Quantized Deep Neural Networks.
DATE
Xiaolu Hu, Xinkuang Geng, Zhigang Mao, Jie Han, Honglan Jiang
2025 J jnl
A Reference Oversampling PLL With a FoM
IEEE Trans. Circuits Syst. I Regul. Pap.
Xueke Cai, Tong Zhang, Yanling Zheng, Li Gao, Jianjun Zhou, Howard Yang, Honglan Jiang, Yongfu Li, Hui Wang
2025 — conf
BASS-PLL: A Bandwidth Augmented Sub-Sampling PLL Achieving a Wide Bandwidth Above 30% of the Reference Frequency and a Worst Case FoMREF of -247.9dB at 3GHz with a Ring Oscillator.
CICC
Xueke Cai, Tong Zhang, Weihao Jie, Yanling Zheng, Deyong Li, Yiwen Zhang, Yang Zhao, Yongfu Li, Honglan Jiang, Patrick P. Mercier, Hui Wang
2025 A* conf
EPIC: Error PredIction and Correction for Power-Efficient Voltage Underscaling Multiply-Accumulate Unit.
DAC
Tongjing Wu, Xiaolu Hu, Tong Li, Siting Liu, Hui Wang, Weifeng He, Zhigang Mao, Honglan Jiang
2025 J jnl
Efficient Extraction and Packing Modules for Posit Multipliers.
IEEE Trans. Circuits Syst. II Express Briefs
Tong Li, Honglan Jiang, Zhou Wang, Qin Wang, Jianfei Jiang, Zhigang Mao
2025 A conf
Lookup Table Refactoring: Towards Efficient Logarithmic Number System Addition for Large Language Models.
DATE
Xinkuang Geng, Siting Liu, Hui Wang, Jie Han, Honglan Jiang
2025 J jnl
Low-Power Multiplier Designs by Leveraging Correlations of 2$\times$×2 Encoded Partial Products.
IEEE Trans. Computers
Ao liu, Siting Liu, Hui Wang, Qin Wang, Fabrizio Lombardi, Zhigang Mao, Honglan Jiang
2025 J jnl
MACS: A Multidomain Collaborative Adaptive Clock Scheme for Large-Scale Reconfigurable Dataflow Accelerators.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Shuya Ji, Weidong Yang, Jianfei Jiang, Naifeng Jing, Honglan Jiang, Zhigang Mao, Qin Wang
2025 A conf
Segment-Wise Accumulation: Low-Error Logarithmic Domain Computing for Efficient Large Language Model Inference.
DATE
Xinkuang Geng, Yunjie Lu, Hui Wang, Honglan Jiang
2024 A conf
A Configurable Approximate Multiplier for CNNs Using Partial Product Speculation.
DATE
Xiaolu Hu, Ao liu, Xinkuang Geng, Zizhong Wei, Kai Jiang, Honglan Jiang
2024 — conf
A Low-Power and High-Accuracy Approximate Adder for Logarithmic Number System.
ACM Great Lakes Symposium on VLSI
Wenhui Zhang, Xinkuang Geng, Qin Wang, Jie Han, Honglan Jiang
2024 J jnl
An Architectural Error Metric for CNN-Oriented Approximate Multipliers.
CoRR
Ao liu, Jie Han, Qin Wang, Zhigang Mao, Honglan Jiang
2024 A conf
Compact Powers-of-Two: An Efficient Non-Uniform Quantization for Deep Neural Networks.
DATE
Xinkuang Geng, Siting Liu, Jianfei Jiang, Kai Jiang, Honglan Jiang
2024 J jnl
Hardware-Efficient Logarithmic Floating-Point Multipliers for Error-Tolerant Applications.
IEEE Trans. Circuits Syst. I Regul. Pap.
Zijing Niu, Tingting Zhang, Honglan Jiang, Bruce F. Cockburn, Leibo Liu, Jie Han
2024 J jnl
Learning the Error Features of Approximate Multipliers for Neural Network Applications.
IEEE Trans. Computers
Hai Mo, Yong Wu, Honglan Jiang, Zining Ma, Fabrizio Lombardi, Jie Han, Leibo Liu
2024 A* conf
QUQ: Quadruplet Uniform Quantization for Efficient Vision Transformer Inference.
DAC
Xinkuang Geng, Siting Liu, Leibo Liu, Jie Han, Honglan Jiang
2023 J jnl
Approximate Processing Element Design and Analysis for the Implementation of CNN Accelerators.
J. Comput. Sci. Technol.
Tong Li, Honglan Jiang, Hai Mo, Jie Han, Leibo Liu, Zhi-Gang Mao
2023 A* conf
COSA:Co-Operative Systolic Arrays for Multi-head Attention Mechanism in Neural Network using Hybrid Data Reuse and Fusion Methodologies.
DAC
Zhican Wang, Gang Wang, Honglan Jiang, Ningyi Xu, Guanghui He
2023 C conf
Feature-Embedding Triplet Networks with a Separately Constrained Loss Function.
ISCAS
Ziheng Wang, Farzad Niknia, Shanshan Liu, Honglan Jiang, Siting Liu, Pedro Reviriego, Fabrizio Lombardi
2022 J jnl
An Energy-Efficient Approximate Divider Based on Logarithmic Conversion and Piecewise Constant Approximation.
IEEE Trans. Circuits Syst. I Regul. Pap.
Yong Wu, Honglan Jiang, Zining Ma, Pengfei Gou, Yong Lu, Jie Han, Shouyi Yin, Shaojun Wei, Leibo Liu
2022 J jnl
Characterizing Approximate Adders and Multipliers for Mitigating Aging and Temperature Degradations.
IEEE Trans. Circuits Syst. I Regul. Pap.
Francisco Javier Hernandez Santiago, Honglan Jiang, Hussam Amrouch, Andreas Gerstlauer, Leibo Liu, Jie Han
2022 — conf
HSB-GDM: a Hybrid Stochastic-Binary Circuit for Gradient Descent with Momentum in the Training of Neural Networks.
NANOARCH
Han Li, Heng Shi, Honglan Jiang, Siting Liu
2022 — ch.
Majority Logic-Based Approximate Multipliers for Error-Tolerant Applications.
Approximate Computing
Tingting Zhang, Honglan Jiang, Weiqiang Liu, Fabrizio Lombardi, Leibo Liu, Seok-Bum Ko, Jie Han
2022 A* conf
Upward Packet Popup for Deadlock Freedom in Modular Chiplet-Based Systems.
HPCA
Yibo Wu, Liang Wang, Xiaohang Wang, Jie Han, Jianfeng Zhu, Honglan Jiang, Shouyi Yin, Shaojun Wei, Leibo Liu
2021 — conf
A Logarithmic Floating-Point Multiplier for the Efficient Training of Neural Networks.
ACM Great Lakes Symposium on VLSI
Zijing Niu, Honglan Jiang, Mohammad Saeed Ansari, Bruce F. Cockburn, Leibo Liu, Jie Han
2021 J jnl
Non-Volatile Approximate Arithmetic Circuits Using Scalable Hybrid Spin-CMOS Majority Gates.
IEEE Trans. Circuits Syst. I Regul. Pap.
Honglan Jiang, Shaahin Angizi, Deliang Fan, Jie Han, Leibo Liu
2020 J jnl
Approximate Arithmetic Circuits: A Survey, Characterization, and Recent Applications.
Proc. IEEE
Honglan Jiang, Francisco Javier Hernandez Santiago, Hai Mo, Leibo Liu, Jie Han
2020 J jnl
Interplay Bitwise Operation in Emerging MRAM for Efficient In-memory Computing.
CCF Trans. High Perform. Comput.
Hao Cai, Honglan Jiang, Yongliang Zhou, Menglin Han, Bo Liu
2020 — conf
Power-Efficient Approximate Multiplier Using Adaptive Error Compensation.
ACM Great Lakes Symposium on VLSI
Zhixi Yang, Honglan Jiang, Xianbin Li, Jun Yang
2019 J jnl
A High-Performance and Energy-Efficient FIR Adaptive Filter Using Approximate Distributed Arithmetic Circuits.
IEEE Trans. Circuits Syst. I Regul. Pap.
Honglan Jiang, Leibo Liu, Pieter P. Jonker, Duncan G. Elliott, Fabrizio Lombardi, Jie Han
2019 — ch.
Approximate Arithmetic Circuits: Design and Evaluation.
Approximate Circuits
Honglan Jiang, Leibo Liu, Fabrizio Lombardi, Jie Han
2019 — conf
Characterizing Approximate Adders and Multipliers Optimized under Different Design Constraints.
ACM Great Lakes Symposium on VLSI
Honglan Jiang, Francisco J. H. Santiago, Mohammad Saeed Ansari, Leibo Liu, Bruce F. Cockburn, Fabrizio Lombardi, Jie Han
2019 J jnl
Low-Power Approximate Unsigned Multipliers With Configurable Error Recovery.
IEEE Trans. Circuits Syst. I Regul. Pap.
Honglan Jiang, Cong Liu, Fabrizio Lombardi, Jie Han
2019 J jnl
Low-Power Unsigned Divider and Square Root Circuit Designs Using Adaptive Approximation.
IEEE Trans. Computers
Honglan Jiang, Leibo Liu, Fabrizio Lombardi, Jie Han
2019 — conf
Pj-AxMTJ: Process-in-memory with Joint Magnetization Switching for Approximate Computing in Magnetic Tunnel Junction.
ISVLSI
Hao Cai, Honglan Jiang, Menglin Han, Zhaohao Wang, You Wang, Jun Yang, Jie Han, Leibo Liu, Weisheng Zhao
2018 A conf
Adaptive approximation in arithmetic circuits: A low-power unsigned divider design.
DATE
Honglan Jiang, Leibo Liu, Fabrizio Lombardi, Jie Han
2018 J jnl
Gradient Descent Using Stochastic Circuits for Efficient Training of Learning Machines.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Siting Liu, Honglan Jiang, Leibo Liu, Jie Han
2018 J jnl
Low-Power Approximate Multipliers Using Encoded Partial Products and Approximate Compressors.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Mohammad Saeed Ansari, Honglan Jiang, Bruce F. Cockburn, Jie Han
2018 J jnl
Scalable Construction of Approximate Multipliers With Formally Guaranteed Worst Case Error.
IEEE Trans. Very Large Scale Integr. Syst.
Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Honglan Jiang, Jie Han
2017 J jnl
A Review, Classification, and Comparative Evaluation of Approximate Arithmetic Circuits.
ACM J. Emerg. Technol. Comput. Syst.
Honglan Jiang, Cong Liu, Leibo Liu, Fabrizio Lombardi, Jie Han
2017 Misc conf
An efficient hardware design for cerebellar models using approximate circuits: special session paper.
CODES+ISSS
Honglan Jiang, Leibo Liu, Jie Han
2017 J jnl
Design of Approximate Radix-4 Booth Multipliers for Error-Tolerant Computing.
IEEE Trans. Computers
Weiqiang Liu, Liangyu Qian, Chenghua Wang, Honglan Jiang, Jie Han, Fabrizio Lombardi
2016 — conf
A comparative evaluation of approximate multipliers.
NANOARCH
Honglan Jiang, Cong Liu, Naman Maheshwari, Fabrizio Lombardi, Jie Han
2016 — conf
Adaptive Filter Design Using Stochastic Circuits.
ISVLSI
Honglan Jiang, Chengkun Shen, Pieter P. Jonker, Fabrizio Lombardi, Jie Han
2016 J jnl
Approximate Radix-8 Booth Multipliers for Low-Power and High-Performance Operation.
IEEE Trans. Computers
Honglan Jiang, Jie Han, Fei Qiao, Fabrizio Lombardi
2015 — conf
A Comparative Review and Evaluation of Approximate Adders.
ACM Great Lakes Symposium on VLSI
Honglan Jiang, Jie Han, Fabrizio Lombardi