Jie Han

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 119

Top Venues

IEEE Trans. Very Large Scale Integr. Syst.

DATE

IEEE Trans. Computers

NANOARCH

Publications

Shaowei Wang, Guangjun Xie, Wenbing Xu, Yongqiang Zhang, Jie Han
A Low-Cost and Fault-Tolerant Stochastic Architecture for the Bernsen Algorithm Using Bitstream Correlation. J. Circuits Syst. Comput. 33 (9) (2024)
Ying Wu, Chuangtao Chen, Weihua Xiao, Xuan Wang, Chenyi Wen, Jie Han, Xunzhao Yin, Weikang Qian, Cheng Zhuo
A Survey on Approximate Multiplier Designs for Energy Efficiency: From Algorithms to Circuits. ACM Trans. Design Autom. Electr. Syst. 29 (1) (2024)
Yongqiang Zhang, Jiao Qin, Jie Han, Guangjun Xie
Design of a Stochastic Computing Architecture for the Phansalkar Algorithm. IEEE Trans. Very Large Scale Integr. Syst. 32 (3) (2024)
Zijing Niu, Tingting Zhang, Honglan Jiang, Bruce F. Cockburn, Leibo Liu, Jie Han
Hardware-Efficient Logarithmic Floating-Point Multipliers for Error-Tolerant Applications. IEEE Trans. Circuits Syst. I Regul. Pap. 71 (1) (2024)
Yongqiang Zhang, Xiaoyue Chen, Jie Han, Guangjun Xie
Stochastic Mean Circuits Based on Inner-Product Units Using Correlated Bitstreams. IEEE Trans. Circuits Syst. II Express Briefs 71 (2) (2024)
Wenhui Zhang, Xinkuang Geng, Qin Wang, Jie Han, Honglan Jiang
A Low-Power and High-Accuracy Approximate Adder for Logarithmic Number System. ACM Great Lakes Symposium on VLSI (2024)
Hai Mo, Yong Wu, Honglan Jiang, Zining Ma, Fabrizio Lombardi, Jie Han, Leibo Liu
Learning the Error Features of Approximate Multipliers for Neural Network Applications. IEEE Trans. Computers 73 (3) (2024)
Alberto Bosio, Mario Barbareschi, Alessandro Savino, Jie Han, Jürgen Teich
Special Issue on Approximate Computing: Challenges, Methodologies, Algorithms, and Architectures for Dependable and Secure Systems. IEEE Des. Test 40 (3) (2023)
Qichao Tao, Tingting Zhang, Jie Han
An Approximate Parallel Annealing Ising Machine for Solving Traveling Salesman Problems. IEEE Embed. Syst. Lett. 15 (4) (2023)
Chengcheng Tang, Jie Han
Hardware Efficient Weight-Binarized Spiking Neural Networks. DATE (2023)
Tong Li, Honglan Jiang, Hai Mo, Jie Han, Leibo Liu, Zhi-Gang Mao
Approximate Processing Element Design and Analysis for the Implementation of CNN Accelerators. J. Comput. Sci. Technol. 38 (2) (2023)
Yongqiang Zhang, Siting Liu, Jie Han, Zhendong Lin, Shaowei Wang, Xin Cheng, Guangjun Xie
An Energy-Efficient Binary-Interfaced Stochastic Multiplier Using Parallel Datapaths. IEEE Trans. Very Large Scale Integr. Syst. 31 (9) (2023)
Xuemei Fan, Tingting Zhang, Hao Liu, Shengli Lu, Jie Han
A Timing-Aware Configurable Adder Based on Timing Detection for Low-Voltage Computing. IEEE J. Emerg. Sel. Topics Circuits Syst. 13 (1) (2023)
Yongqiang Zhang, Lingyun Xie, Jie Han, Xin Cheng, Guangjun Xie
Highly Accurate and Energy Efficient Binary-Stochastic Multipliers for Fault-Tolerant Applications. IEEE Trans. Circuits Syst. II Express Briefs 70 (2) (2023)
Pengyue Hou, Jie Han, Xingyu Li
Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting. AAAI (2023)
Ying Wu, Chuangtao Chen, Weihua Xiao, Xuan Wang, Chenyi Wen, Jie Han, Xunzhao Yin, Weikang Qian, Cheng Zhuo
A Survey on Approximate Multiplier Designs for Energy Efficiency: From Algorithms to Circuits. CoRR (2023)
Francisco Javier Hernandez Santiago, Honglan Jiang, Hussam Amrouch, Andreas Gerstlauer, Leibo Liu, Jie Han
Characterizing Approximate Adders and Multipliers for Mitigating Aging and Temperature Degradations. IEEE Trans. Circuits Syst. I Regul. Pap. 69 (11) (2022)
Mohammad Saeed Ansari, Bruce F. Cockburn, Jie Han
Low-Power Approximate Logarithmic Squaring Circuit Design for DSP Applications. IEEE Trans. Emerg. Top. Comput. 10 (1) (2022)
Mario Barbareschi, Salvatore Barone, Alberto Bosio, Jie Han, Marcello Traiola
A Genetic-algorithm-based Approach to the Design of DCT Hardware Accelerators. ACM J. Emerg. Technol. Comput. Syst. 18 (3) (2022)
Yibo Wu, Liang Wang, Xiaohang Wang, Jie Han, Jianfeng Zhu, Honglan Jiang, Shouyi Yin, Shaojun Wei, Leibo Liu
Upward Packet Popup for Deadlock Freedom in Modular Chiplet-Based Systems. HPCA (2022)
Wenbing Xu, Guangjun Xie, Shaowei Wang, Zhendong Lin, Jie Han, Yongqiang Zhang
A stochastic computing architecture for local contrast and mean image thresholding algorithm. Int. J. Circuit Theory Appl. 50 (9) (2022)
Qichao Tao, Jie Han
Solving traveling salesman problems via a parallel fully connected ising machine. DAC (2022)
Shaowei Wang, Guangjun Xie, Jie Han, Yongqiang Zhang
Highly accurate division and square root circuits by exploiting signal correlation in stochastic computing. Int. J. Circuit Theory Appl. 50 (4) (2022)
Yong Wu, Honglan Jiang, Zining Ma, Pengfei Gou, Yong Lu, Jie Han, Shouyi Yin, Shaojun Wei, Leibo Liu
An Energy-Efficient Approximate Divider Based on Logarithmic Conversion and Piecewise Constant Approximation. IEEE Trans. Circuits Syst. I Regul. Pap. 69 (7) (2022)
Tingting Zhang, Qichao Tao, Bailiang Liu, Jie Han
A Review of Simulation Algorithms of Classical Ising Machines for Combinatorial optimization. ISCAS (2022)
Haroon Waris, Chenghua Wang, Weiqiang Liu, Jie Han, Fabrizio Lombardi
Hybrid Partial Product-Based High-Performance Approximate Recursive Multipliers. IEEE Trans. Emerg. Top. Comput. 10 (1) (2022)
Tingting Zhang, Zijing Niu, Jie Han
A Brief Review of Logarithmic Multiplier Designs. LATS (2022)
Yibo Wu, Liang Wang, Xiaohang Wang, Jie Han, Shouyi Yin, Shaojun Wei, Leibo Liu
A Deflection-Based Deadlock Recovery Framework to Achieve High Throughput for Faulty NoCs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (10) (2021)
Yuancheng Zhou, Guangjun Xie, Jie Han, Yongqiang Zhang
Absolute Subtraction and Division Circuits Using Uncorrelated Random Bitstreams in Stochastic Computing. NANOARCH (2021)
Mohammad Saeed Ansari, Bruce F. Cockburn, Jie Han
An Improved Logarithmic Multiplier for Energy-Efficient Neural Computing. IEEE Trans. Computers 70 (4) (2021)
Haichao Yu, Zhe Chen, Dong Lin, Gil I. Shamir, Jie Han
Dropout Prediction Variation Estimation Using Neuron Activation Strength. CoRR (2021)
Tian Yuan, Weiqiang Liu, Jie Han, Fabrizio Lombardi
High Performance CNN Accelerators Based on Hardware and Algorithm Co-Optimization. IEEE Trans. Circuits Syst. I Regul. Pap. 68 (1) (2021)
Mohammad Saeed Ansari, Shyama Gandhi, Bruce F. Cockburn, Jie Han
Fast and low-power leading-one detectors for energy-efficient logarithmic computing. IET Comput. Digit. Tech. 15 (4) (2021)
Yidong Liu, Siting Liu, Yanzhi Wang, Fabrizio Lombardi, Jie Han
A Survey of Stochastic Computing Neural Networks for Machine Learning Applications. IEEE Trans. Neural Networks Learn. Syst. 32 (7) (2021)
Zhendong Lin, Guangjun Xie, Wenbing Xu, Jie Han, Yongqiang Zhang
Accelerating Stochastic Computing Using Deterministic Halton Sequences. IEEE Trans. Circuits Syst. II Express Briefs 68 (10) (2021)
Tingting Zhang, Qichao Tao, Jie Han
Solving Traveling Salesman Problems Using Ising Models with Simulated Bifurcation. ISOCC (2021)
Honglan Jiang, Shaahin Angizi, Deliang Fan, Jie Han, Leibo Liu
Non-Volatile Approximate Arithmetic Circuits Using Scalable Hybrid Spin-CMOS Majority Gates. IEEE Trans. Circuits Syst. I Regul. Pap. 68 (3) (2021)
Shanshan Liu, Pedro Reviriego, Jing Guo, Jie Han, Fabrizio Lombardi
Exploiting Asymmetry in eDRAM Errors for Redundancy-Free Error-Tolerant Design. IEEE Trans. Emerg. Top. Comput. 9 (4) (2021)
Zijing Niu, Honglan Jiang, Mohammad Saeed Ansari, Bruce F. Cockburn, Leibo Liu, Jie Han
A Logarithmic Floating-Point Multiplier for the Efficient Training of Neural Networks. ACM Great Lakes Symposium on VLSI (2021)
Zhendong Lin, Guangjun Xie, Shaowei Wang, Jie Han, Yongqiang Zhang
A Review of Deterministic Approaches to Stochastic Computing. NANOARCH (2021)
Yongqiang Zhang, Guangjun Xie, Jie Han
A robust wire crossing design for thermostability and fault tolerance in quantum-dot cellular automata. Microprocess. Microsystems 74 (2020)
Siting Liu, Jie Han
Dynamic Stochastic Computing for Digital Signal Processing Applications. DATE (2020)
Sanbao Su, Chen Zou, Weijiang Kong, Jie Han, Weikang Qian
A Novel Heuristic Search Method for Two-Level Approximate Logic Synthesis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (3) (2020)
Honglan Jiang, Francisco Javier Hernandez Santiago, Hai Mo, Leibo Liu, Jie Han
Approximate Arithmetic Circuits: A Survey, Characterization, and Recent Applications. Proc. IEEE 108 (12) (2020)
Leibo Liu, Jianfeng Zhu, Zhaoshi Li, Yanan Lu, Yangdong Deng, Jie Han, Shouyi Yin, Shaojun Wei
A Survey of Coarse-Grained Reconfigurable Architecture and Design: Taxonomy, Challenges, and Applications. ACM Comput. Surv. 52 (6) (2020)
Yibo Wu, Leibo Liu, Liang Wang, Xiaohang Wang, Jie Han, Chenchen Deng, Shaojun Wei
Aggressive Fine-Grained Power Gating of NoC Buffers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (11) (2020)
Liang Wang, Leibo Liu, Xiaohang Wang, Jie Han, Chenchen Deng, Shaojun Wei
CDRing: Reconfigurable Ring Architecture by Exploiting Cycle Decomposition of Torus Topology. DAC (2020)
Mohammad Saeed Ansari, Vojtech Mrazek, Bruce F. Cockburn, Lukás Sekanina, Zdenek Vasícek, Jie Han
Improving the Accuracy and Hardware Efficiency of Neural Networks Using Approximate Multipliers. IEEE Trans. Very Large Scale Integr. Syst. 28 (2) (2020)
Liang Wang, Leibo Liu, Jie Han, Xiaohang Wang, Shouyi Yin, Shaojun Wei
Achieving Flexible Global Reconfiguration in NoCs Using Reconfigurable Rings. IEEE Trans. Parallel Distributed Syst. 31 (3) (2020)
Ke Chen, Weiqiang Liu, Jie Han, Fabrizio Lombardi
Profile-Based Output Error Compensation for Approximate Arithmetic Circuits. IEEE Trans. Circuits Syst. (12) (2020)
Morgan Ledwon, Bruce F. Cockburn, Jie Han
High-Throughput FPGA-Based Hardware Accelerators for Deflate Compression and Decompression Using High-Level Synthesis. IEEE Access 8 (2020)
Yuying Zhu, Weiqiang Liu, Peipei Yin, Tian Cao, Jie Han, Fabrizio Lombardi
Design, evaluation and application of approximate-truncated Booth multipliers. IET Circuits Devices Syst. 14 (8) (2020)
Ruizhe Cai, Ao Ren, Olivia Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, Wenhui Luo, Nobuyuki Yoshikawa, Yanzhi Wang
A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology. CoRR (2019)
Liang Wang, Ping Lv, Leibo Liu, Jie Han, Ho-fung Leung, Xiaohang Wang, Shouyi Yin, Shaojun Wei, Terrence S. T. Mak
A Lifetime Reliability-Constrained Runtime Mapping for Throughput Optimization in Many-Core Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38 (9) (2019)
Shyama Gandhi, Mohammad Saeed Ansari, Bruce F. Cockburn, Jie Han
Approximate Leading One Detector Design for a Hardware-Efficient Mitchell Multiplier. CCECE (2019)
Mohammad Saeed Ansari, Bruce F. Cockburn, Jie Han
A Hardware-Efficient Logarithmic Multiplier with Improved Accuracy. DATE (2019)
Honglan Jiang, Francisco J. H. Santiago, Mohammad Saeed Ansari, Leibo Liu, Bruce F. Cockburn, Fabrizio Lombardi, Jie Han
Characterizing Approximate Adders and Multipliers Optimized under Different Design Constraints. ACM Great Lakes Symposium on VLSI (2019)
Honglan Jiang, Leibo Liu, Fabrizio Lombardi, Jie Han
Low-Power Unsigned Divider and Square Root Circuit Designs Using Adaptive Approximation. IEEE Trans. Computers 68 (11) (2019)
Ruizhe Cai, Ao Ren, Olivia Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, Wenhui Luo, Nobuyuki Yoshikawa, Yanzhi Wang
A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology. ISCA (2019)
Honglan Jiang, Leibo Liu, Pieter P. Jonker, Duncan G. Elliott, Fabrizio Lombardi, Jie Han
A High-Performance and Energy-Efficient FIR Adaptive Filter Using Approximate Distributed Arithmetic Circuits. IEEE Trans. Circuits Syst. I Regul. Pap. (1) (2019)
Morgan Ledwon, Bruce F. Cockburn, Jie Han
Design and Evaluation of an FPGA-based Hardware Accelerator for Deflate Data Decompression. CCECE (2019)
Yidong Liu, Leibo Liu, Fabrizio Lombardi, Jie Han
An Energy-Efficient and Noise-Tolerant Recurrent Neural Network Using Stochastic Computing. IEEE Trans. Very Large Scale Integr. Syst. 27 (9) (2019)
Tingting Zhang, Weiqiang Liu, Jie Han, Fabrizio Lombardi
Design and Analysis of Majority Logic Based Approximate Radix-4 Booth Encoders. NANOARCH (2019)
Honglan Jiang, Cong Liu, Fabrizio Lombardi, Jie Han
Low-Power Approximate Unsigned Multipliers With Configurable Error Recovery. IEEE Trans. Circuits Syst. I Regul. Pap. (1) (2019)
Yongqiang Zhang, Guangjun Xie, Jie Han
Serial concatenated convolutional code encoder in quantum-dot cellular automata. Nano Commun. Networks 22 (2019)
Hao Cai, Honglan Jiang, Menglin Han, Zhaohao Wang, You Wang, Jun Yang, Jie Han, Leibo Liu, Weisheng Zhao
Pj-AxMTJ: Process-in-memory with Joint Magnetization Switching for Approximate Computing in Magnetic Tunnel Junction. ISVLSI (2019)
Siting Liu, Honglan Jiang, Leibo Liu, Jie Han
Gradient Descent Using Stochastic Circuits for Efficient Training of Learning Machines. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (11) (2018)
Honglan Jiang, Leibo Liu, Fabrizio Lombardi, Jie Han
Adaptive approximation in arithmetic circuits: A low-power unsigned divider design. DATE (2018)
Shaahin Angizi, Zhezhi He, Yu Bai, Jie Han, Mingjie Lin, Ronald F. DeMara, Deliang Fan
Leveraging Spintronic Devices for Efficient Approximate Logic and Stochastic Neural Networks. ACM Great Lakes Symposium on VLSI (2018)
Yidong Liu, Siting Liu, Yanzhi Wang, Fabrizio Lombardi, Jie Han
A Stochastic Computational Multi-Layer Perceptron with Backward Propagation. IEEE Trans. Computers 67 (9) (2018)
Yan Li, Yufeng Li, Jie Han, Jianhao Hu, Fan Yang, Xuan Zeng, Bruce F. Cockburn, Jie Chen
Feedback-Based Low-Power Soft-Error-Tolerant Design for Dual-Modular Redundancy. IEEE Trans. Very Large Scale Integr. Syst. 26 (8) (2018)
Xiaolong Ma, Yipeng Zhang, Geng Yuan, Ao Ren, Zhe Li, Jie Han, Jingtong Hu, Yanzhi Wang
An Area and Energy Efficient Design of Domain-Wall Memory-Based Deep Convolutional Neural Networks using Stochastic Computing. CoRR (2018)
Yidong Liu, Yanzhi Wang, Fabrizio Lombardi, Jie Han
An Energy-Efficient Online-Learning Stochastic Computational Deep Belief Network. IEEE J. Emerg. Sel. Topics Circuits Syst. 8 (3) (2018)
Xiaolong Ma, Yipeng Zhang, Geng Yuan, Ao Ren, Zhe Li, Jie Han, Jingtong Hu, Yanzhi Wang
An area and energy efficient design of domain-wall memory-based deep convolutional neural networks using stochastic computing. ISQED (2018)
Linbin Chen, Jie Han, Weiqiang Liu, Paolo Montuschi, Fabrizio Lombardi
Design, Evaluation and Application of Approximate High-Radix Dividers. IEEE Trans. Multi Scale Comput. Syst. 4 (3) (2018)
Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Honglan Jiang, Jie Han
Scalable Construction of Approximate Multipliers With Formally Guaranteed Worst Case Error. IEEE Trans. Very Large Scale Integr. Syst. 26 (11) (2018)
Ke Chen, Jie Han, Paolo Montuschi, Weiqiang Liu, Fabrizio Lombardi
Design and Application of an Approximate 2-D Convolver with Error Compensation. ISCAS (2018)
Peican Zhu, Xiaogang Song, Leibo Liu, Zhen Wang, Jie Han
Stochastic Analysis of Multiplex Boolean Networks for Understanding Epidemic Propagation. IEEE Access 6 (2018)
Xiaogang Song, Zhengjun Zhai, Yidong Liu, Jie Han
A stochastic approach for the reliability evaluation of multi-state systems with dependent components. Reliab. Eng. Syst. Saf. 170 (2018)
Siting Liu, Jie Han
Toward Energy-Efficient Stochastic Circuits Using Parallel Sobol Sequences. IEEE Trans. Very Large Scale Integr. Syst. 26 (7) (2018)
Yuying Zhu, Weiqiang Liu, Jie Han, Fabrizio Lombardi
A Probabilistic Error Model and Framework for Approximate Booth Multipliers. NANOARCH (2018)
Mohammad Saeed Ansari, Honglan Jiang, Bruce F. Cockburn, Jie Han
Low-Power Approximate Multipliers Using Encoded Partial Products and Approximate Compressors. IEEE J. Emerg. Sel. Topics Circuits Syst. 8 (3) (2018)
Yidong Liu, Yanzhi Wang, Fabrizio Lombardi, Jie Han
An energy-efficient stochastic computational deep belief network. DATE (2018)
Xuedi Wang, Zhe Chen, Kaige Jia, Jie Han, Qi Wei, Fei Qiao, Huazhong Yang
Approximate On-chip Memory Optimization Method For Deep Residual Networks. DSL (2018)
Jie Han
Approximate Arithmetic Circuits and Their Applications. NOCS (2018)
Michael Shoniker, Oleg Oleynikov, Bruce F. Cockburn, Jie Han, Manish Rana, Witold Pedrycz
Automatic Selection of Process Corner Simulations for Faster Design Verification. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (6) (2018)
Weiqiang Liu, Liangyu Qian, Chenghua Wang, Honglan Jiang, Jie Han, Fabrizio Lombardi
Design of Approximate Radix-4 Booth Multipliers for Error-Tolerant Computing. IEEE Trans. Computers 66 (8) (2017)
Yuanchang Chen, Yizhe Zhu, Fei Qiao, Jie Han, Yuansheng Liu, Huazhong Yang
Evaluating Data Resilience in CNNs from an Approximate Memory Perspective. ACM Great Lakes Symposium on VLSI (2017)
Ke Chen, Fabrizio Lombardi, Jie Han
Partially universal modules for high performance logic circuit design. MWSCAS (2017)
Chen Wu, Chenchen Deng, Leibo Liu, Jie Han, Jiqiang Chen, Shouyi Yin, Shaojun Wei
A Multi-Objective Model Oriented Mapping Approach for NoC-based Computing Systems. IEEE Trans. Parallel Distributed Syst. 28 (3) (2017)
Yuanzhuo Qu, Jie Han, Bruce F. Cockburn, Witold Pedrycz, Yue Zhang, Weisheng Zhao
A true random number generator based on parallel STT-MTJs. DATE (2017)
Siting Liu, Jie Han
Energy efficient stochastic computing with Sobol sequences. DATE (2017)
Linbin Chen, Jie Han, Weiqiang Liu, Fabrizio Lombardi
Design and operational assessment of an intra-cell hybrid L2 cache. NANOARCH (2017)
Linbin Chen, Jie Han, Weiqiang Liu, Fabrizio Lombardi
Algorithm and Design of a Fully Parallel Approximate Coordinate Rotation Digital Computer (CORDIC). IEEE Trans. Multi Scale Comput. Syst. 3 (3) (2017)
Honglan Jiang, Leibo Liu, Jie Han
An efficient hardware design for cerebellar models using approximate circuits: special session paper. CODES+ISSS (2017)
Siting Liu, Jie Han
Hardware ODE Solvers using Stochastic Circuits. DAC (2017)
Honglan Jiang, Cong Liu, Leibo Liu, Fabrizio Lombardi, Jie Han
A Review, Classification, and Comparative Evaluation of Approximate Arithmetic Circuits. ACM J. Emerg. Technol. Comput. Syst. 13 (4) (2017)
Ke Chen, Jie Han, Fabrizio Lombardi
Two Approximate Voting Schemes for Reliable Computing. IEEE Trans. Computers 66 (7) (2017)
Linbin Chen, Fabrizio Lombardi, Paolo Montuschi, Jie Han, Weiqiang Liu
Design of Approximate High-Radix Dividers by Inexact Binary Signed-Digit Addition. ACM Great Lakes Symposium on VLSI (2017)
Peican Zhu, Yangming Guo, Fabrizio Lombardi, Jie Han
Approximate reliability of multi-state two-terminal networks by stochastic analysis. IET Networks 6 (5) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jie Han