Honglan Jiang

According to our database, Honglan Jiang authored at least 32 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning the Error Features of Approximate Multipliers for Neural Network Applications.

Hai Mo, Yong Wu, Honglan Jiang, Zining Ma, Fabrizio Lombardi, Jie Han, Leibo Liu

IEEE Trans. Computers, March, 2024

Hardware-Efficient Logarithmic Floating-Point Multipliers for Error-Tolerant Applications.

Zijing Niu, Tingting Zhang, Honglan Jiang, Bruce F. Cockburn, Leibo Liu, Jie Han

IEEE Trans. Circuits Syst. I Regul. Pap., January, 2024

2023

Approximate Processing Element Design and Analysis for the Implementation of CNN Accelerators.

Tong Li, Honglan Jiang, Hai Mo, Jie Han, Leibo Liu, Zhi-Gang Mao

J. Comput. Sci. Technol., April, 2023

Feature-Embedding Triplet Networks with a Separately Constrained Loss Function.

Ziheng Wang, Farzad Niknia, Shanshan Liu, Honglan Jiang, Siting Liu, Pedro Reviriego, Fabrizio Lombardi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

COSA:Co-Operative Systolic Arrays for Multi-head Attention Mechanism in Neural Network using Hybrid Data Reuse and Fusion Methodologies.

Zhican Wang, Gang Wang, Honglan Jiang, Ningyi Xu, Guanghui He

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

An Energy-Efficient Approximate Divider Based on Logarithmic Conversion and Piecewise Constant Approximation.

Yong Wu, Honglan Jiang, Zining Ma, Pengfei Gou, Yong Lu, Jie Han, Shouyi Yin, Shaojun Wei, Leibo Liu

IEEE Trans. Circuits Syst. I Regul. Pap., 2022

Characterizing Approximate Adders and Multipliers for Mitigating Aging and Temperature Degradations.

Francisco Javier Hernandez Santiago, Honglan Jiang, Hussam Amrouch, Andreas Gerstlauer, Leibo Liu, Jie Han

IEEE Trans. Circuits Syst. I Regul. Pap., 2022

HSB-GDM: a Hybrid Stochastic-Binary Circuit for Gradient Descent with Momentum in the Training of Neural Networks.

Han Li, Heng Shi, Honglan Jiang, Siting Liu

Proceedings of the 17th ACM International Symposium on Nanoscale Architectures, 2022

Upward Packet Popup for Deadlock Freedom in Modular Chiplet-Based Systems.

Yibo Wu, Liang Wang, Xiaohang Wang, Jie Han, Jianfeng Zhu, Honglan Jiang, Shouyi Yin, Shaojun Wei, Leibo Liu

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

Majority Logic-Based Approximate Multipliers for Error-Tolerant Applications.

Tingting Zhang, Honglan Jiang, Weiqiang Liu, Fabrizio Lombardi, Leibo Liu, Seok-Bum Ko, Jie Han

Proceedings of the Approximate Computing, 2022

2021

Non-Volatile Approximate Arithmetic Circuits Using Scalable Hybrid Spin-CMOS Majority Gates.

Honglan Jiang, Shaahin Angizi, Deliang Fan, Jie Han, Leibo Liu

IEEE Trans. Circuits Syst. I Regul. Pap., 2021

A Logarithmic Floating-Point Multiplier for the Efficient Training of Neural Networks.

Zijing Niu, Honglan Jiang, Mohammad Saeed Ansari, Bruce F. Cockburn, Leibo Liu, Jie Han

Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021

2020

Approximate Arithmetic Circuits: A Survey, Characterization, and Recent Applications.

Honglan Jiang, Francisco Javier Hernandez Santiago, Hai Mo, Leibo Liu, Jie Han

Proc. IEEE, 2020

Interplay Bitwise Operation in Emerging MRAM for Efficient In-memory Computing.

Hao Cai, Honglan Jiang, Yongliang Zhou, Menglin Han, Bo Liu

CCF Trans. High Perform. Comput., 2020

Power-Efficient Approximate Multiplier Using Adaptive Error Compensation.

Zhixi Yang, Honglan Jiang, Xianbin Li, Jun Yang

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

2019

Low-Power Approximate Unsigned Multipliers With Configurable Error Recovery.

Honglan Jiang, Cong Liu, Fabrizio Lombardi, Jie Han

IEEE Trans. Circuits Syst. I Regul. Pap., 2019

A High-Performance and Energy-Efficient FIR Adaptive Filter Using Approximate Distributed Arithmetic Circuits.

Honglan Jiang, Leibo Liu, Pieter P. Jonker, Duncan G. Elliott, Fabrizio Lombardi, Jie Han

IEEE Trans. Circuits Syst. I Regul. Pap., 2019

Low-Power Unsigned Divider and Square Root Circuit Designs Using Adaptive Approximation.

Honglan Jiang, Leibo Liu, Fabrizio Lombardi, Jie Han

IEEE Trans. Computers, 2019

Pj-AxMTJ: Process-in-memory with Joint Magnetization Switching for Approximate Computing in Magnetic Tunnel Junction.

Hao Cai, Honglan Jiang, Menglin Han, Zhaohao Wang, You Wang, Jun Yang, Jie Han, Leibo Liu, Weisheng Zhao

Proceedings of the 2019 IEEE Computer Society Annual Symposium on VLSI, 2019

Characterizing Approximate Adders and Multipliers Optimized under Different Design Constraints.

Honglan Jiang, Francisco J. H. Santiago, Mohammad Saeed Ansari, Leibo Liu, Bruce F. Cockburn, Fabrizio Lombardi, Jie Han

Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

Approximate Arithmetic Circuits: Design and Evaluation.

Honglan Jiang, Leibo Liu, Fabrizio Lombardi, Jie Han

Proceedings of the Approximate Circuits, Methodologies and CAD., 2019

2018

Scalable Construction of Approximate Multipliers With Formally Guaranteed Worst Case Error.

Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Honglan Jiang, Jie Han

IEEE Trans. Very Large Scale Integr. Syst., 2018

Gradient Descent Using Stochastic Circuits for Efficient Training of Learning Machines.

Siting Liu, Honglan Jiang, Leibo Liu, Jie Han

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

Low-Power Approximate Multipliers Using Encoded Partial Products and Approximate Compressors.

Mohammad Saeed Ansari, Honglan Jiang, Bruce F. Cockburn, Jie Han

IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

Adaptive approximation in arithmetic circuits: A low-power unsigned divider design.

Honglan Jiang, Leibo Liu, Fabrizio Lombardi, Jie Han

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017

Design of Approximate Radix-4 Booth Multipliers for Error-Tolerant Computing.

Weiqiang Liu, Liangyu Qian, Chenghua Wang, Honglan Jiang, Jie Han, Fabrizio Lombardi

IEEE Trans. Computers, 2017

A Review, Classification, and Comparative Evaluation of Approximate Arithmetic Circuits.

Honglan Jiang, Cong Liu, Leibo Liu, Fabrizio Lombardi, Jie Han

ACM J. Emerg. Technol. Comput. Syst., 2017

An efficient hardware design for cerebellar models using approximate circuits: special session paper.

Honglan Jiang, Leibo Liu, Jie Han

Proceedings of the Twelfth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis Companion, 2017

2016

Approximate Radix-8 Booth Multipliers for Low-Power and High-Performance Operation.

Honglan Jiang, Jie Han, Fei Qiao, Fabrizio Lombardi

IEEE Trans. Computers, 2016

A comparative evaluation of approximate multipliers.

Honglan Jiang, Cong Liu, Naman Maheshwari, Fabrizio Lombardi, Jie Han

Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2016

Adaptive Filter Design Using Stochastic Circuits.

Honglan Jiang, Chengkun Shen, Pieter P. Jonker, Fabrizio Lombardi, Jie Han

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2016

2015

A Comparative Review and Evaluation of Approximate Adders.

Honglan Jiang, Jie Han, Fabrizio Lombardi

Proceedings of the 25th edition on Great Lakes Symposium on VLSI, GLVLSI 2015, Pittsburgh, PA, USA, May 20, 2015