Energy Efficient and Secure Computing Integrated Circuits and Systems

Approximate Computing

AI Hardware Accelerators

Hardware Security and Cryptography Engineering

VLSI for Digital Signal Processing and Communications

He have published 3 research books by Springer and Artech House, over 200 papers including over 100 IEEE and ACM journals (9 invited papers). For a complete list, please refer to ‪Weiqiang Liu‬ - ‪Google Scholar‬

Books:

[1] Weiqiang Liu, Jie Han, Fabrizio Lombardi, Design and Applications of Emerging Computer Systems, Springer, Nov. 2023.

[2] Weiqiang Liu, Fabrizio Lombardi, Approximate Computing, Springer, Jun. 2022. Link: Approximate Computing | SpringerLink

[3] Weiqiang Liu, Earl E. Swartzlander, Jr., and Maire O'Neill, Design of Semiconductor QCA Systems, Norwood, MA: Artech House, Sep. 2013. Link: ARTECH HOUSE U.K.: Design of Semiconductor QCA Systems

Selected Papers：

[1] Tianyang Yu, Bi Wu, Ke Chen, Chenggang Yan and Weiqiang Liu, Towards Efficient Retraining: A Large-Scale Approximate Neural Network Framework with Cross-layer Optimization, IEEE Transactions on VLSI systems, vol. 32, no. 6, pp. 1004-1017, Jun. 2024. (Spotlight Articles of IEEE TVLSI 2024 Q1-Q2) 

[2] Xiaodong Meng, Xing Li, Chi-Ying Tsui, Wing-Hung Ki, Weiqiang Liu, A 13.56MHz Primary Driver with Fractional Capacitance Auto-Tuning Loop for Wireless-Powered Implantable Medical Devices, IEEE Journal of Solid State Circuits, vol. 59, no. 10, pp. 3218-3231, Oct. 2024.

[3] Tianyang Yu, Bi Wu, Ke Chen, Gong Zhang and Weiqiang Liu, Fully Learnable Hyperdimensional Computing Framework with Ultra-tiny Accelerator for Edge-side Applications, IEEE Transactions on Computers, vol. 73, no. 2, pp. 574-585, Feb. 2024.

[4] Yuqin Dou, Chenghua Wang, Haroon Waris, Roger Woods, Weiqiang Liu, FPAX: A Fast Prior Knowledge-Based Framework for DSE in Approximate Configurations, IEEE Transactions on Computer-Aided Design of Integrated Circuits and System, vol. 43, no. 6, pp. 1650-1662, Jun 2024.

[5] Ziying Ni, Ayesha Khalid, Dur-e-Shahwar Kundi, Maire O’Neill, and Weiqiang Liu, HPKA: a High-Performance CRYSTALS-Kyber Accelerator Exploring Efficient Pipelining, IEEE Transactions on Computers, Vol. 72, No. 12, pp. 3340-3353, Dec. 2023.

[6] Yijun Cui, Jiang Li, Yunpeng Chen, Chongyan Gu, Chenghua Wang, Maire O’Neill, and Weiqiang Liu, An Efficient Ring Oscillator PUF Using Programmable Delay Units on FPGA, ACM Transactions on Design Automation of Electronic Systems, Volume 29 Issue 1, Article No. 2: 1–20, 2023.

[7] Mingfu Xue, Zhiyu Wu, Yushu Zhang, Jian Wang, and Weiqiang Liu, AdvParams: An Active DNN Intellectual Property Protection Technique via Adversarial Perturbation Based Parameter Encryption, IEEE Transactions on Emerging Topics in Computing, vol. 11, no. 3, pp. 664-678, July-Sept. 2023.

[8] Chenggang Yan, Yuxuan Cui, Ke Chen, Bi Wu, Weiqiang Liu, Hardware Efficient Successive Cancellation Polar Decoders Using Approximate Computing, IEEE Journal of Emerging Topics in Circuits and Systems, vol. 13, no. 1, pp. 189-200, Mar. 2023.

[9] Yale Wang, Chenghua Wang, Chongyan Gu, Yijun Cui, Maire O’Neill,and Weiqiang Liu, A Generic Dynamic Responding Mechanism and Secure Authentication Protocol for Strong PUFs, IEEE Transactions on VLSI systems, vol. 30, no. 9, pp. 1256-1268, Sep. 2022.

[10] Weiqiang Liu, Tao Xu, Jing Li, Chenghua Wang, Paolo Montuschi, and Fabrizio Lombardi, Design of Approximate Hybrid Dividers based on Array and Logarithmic Dividers, IEEE Transactions on Emerging Topics in Computing, pp. 339-350, vol. 10, no. 1, Jan.-March 2022.

[11] Tian Yuan, Weiqiang Liu*, Jie Han, and Fabrizio Lombardi, High Performance CNN Accelerators based on Hardware and Algorithm Co-Optimization, IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 68, no. 1, pp. 250-263, Jan. 2021. (Highlight Paper of IEEE TCAS-I 2021 January Issue)

[12] Weiqiang Liu, Chongyan Gu, Gang Qu, Maire O'Neill, Paolo Montuschi and Fabrizio Lombardi, Security in Approximate Computing and Approximate Computing for Security: Challenges and Opportunities, Proceedings of the IEEE, vol. 108, no. 12, pp. 2214-2231, Dec. 2020. (Invited Paper)

[13] Weiqiang Liu, Fabrizio Lombardi, and Michael Schulte, A Retrospective and Prospective View of Approximate Computing, Proceedings of the IEEE, vol. 108, no. 3, pp. 394-399, Mar. 2020. (Invited Paper)

[14] Weiqiang Liu, Qicong Liao, Fei Qiao, Weijie Xia, Fabrizio Lombardi, Approximate Designs for Fast Fourier Transform (FFT) with Application to Speech Recognition, IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 66, no. 12, pp. 4727-4739, Dec. 2019.

[15] Weiqiang Liu, Sailong Fan, Ayesha Khalid, Ciara Rafferty, and Maire O’Neill, Optimised Schoolbook Polynomial Multiplication for Compact Lattice-based Cryptography on FPGAs, IEEE Transactions on Very Large Scale Integrated (VLSI) System, vol. 27, no. 10, pp. 2459-2463, 2019.

[16] Weiqiang Liu, Lei Zhang, Zhengran Zhang, Chongyan Gu, Chenghua Wang, Maire O’Neill, and Fabrizio Lombardi, XOR-Based Low-Cost Reconfigurable PUFs for IoT Security, ACM Transactions on Embedded Computing Systems, vol. 18, no. 3, Article 25, Mar. 2019.

[17] Weiqiang Liu, Jiahua Xu, Danye Wang, Chenghua Wang, Paolo Montuschi and Fabrizio Lombardi, Design and Evaluation of Approximate Logarithmic Multipliers for Low Power Error-Tolerant Applications, IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 65, no. 9, pp. 2856-2868, Sep. 2018.

[18] Weiqiang Liu, Liangyu Qian, Chenghua Wang, Honglan Jiang, Jie Han and Fabrizio Lombardi, Design of Approximate Radix-4 Booth Multipliers for Error-Tolerant Computing, IEEE Transactions on Computers, vol. 66, no. 8, pp. 1435-1441, Aug. 2017. (Most Popular Article of IEEE TC in July 2017)

[19] Weiqiang Liu, Linbin Chen, Chenghua Wang, Maire O'Neill and Fabrizio Lombardi, Design and Analysis of Inexact Floating-Point Adders, IEEE Transactions on Computers, vol. 65, no. 1, pp. 308-314, Jan. 2016.

[20] Weiqiang Liu, Liang Lu, Maire O’Neill, Earl E. Swartzlander, Jr. and Roger Woods, Design of Quantum-dot Cellular Automata Circuits Using Cut-Set Retiming, IEEE Transactions on Nanotechnology, vol. 10, no. 5, pp. 1150-1160, Sep. 2011.

Tutorial:

[] Weiqiang Liu, Chongyan Gu, Nima Taherinejad and Alberto Bosio, Approximate Computing: from Emerging Computational Paradigm to System Design and Applications, DAC Long Tutorial, Jul. 2022.

[] Weiqiang Liu, Jie Han, Alberto Bosio and Fabrizio Lombardi, Approximate Computing: Circuits, Systems and Applications, DATE Long Tutorial, Mar. 2022.

[] Weiqiang Liu, and Fabrizio Lombardi, Approximate Computing: from Circuits to Emerging Applications, IEEE ISCAS 2021 Half-Day Tutorial, May 2021.

[] Jie Han, Weiqiang Liu and Alberto Bosio, Approximate and Reliable Computing for Machine Learning and Safety-Critical Systems, IEEE COINS Tutorial, Aug. 2021.

Invited Talks:

[] Approximate Computing for Low Power Circuits and Systems, 6th Workshop on Approximate Computing (AxC21) conjunction with ICCAD'21, Nov. 2021.

[] Approximate Computing for Energy Efficient Circuits and Systems, Huawei Strategy and Technology Workshop (STW), Oct. 2021.

[] Approximate Computing and Security, UKRI RISE/eFuture Worshop on Engineering Significant Difference, Jun. 2021.

[] Approximate Computing: Circuits, Applications and Security, Hunan University with CCF Fault-Tolerant Computing Technical Committee & CCF Integrated Circuits Design Technical Group, Jun. 2021. 

[] Approximate Computing: from Circuits to Applications, University of Kentucky, Apr. 2021.

[] Configurable Strong PUF Designs and A Deception Protocol, Cryptographic Chip Conference (CryptoIC), Oct. 2020.

[] CMOS and Nano-Device based Approximate Computing for AI Hardware Acceleration, 15th IEEE Nanotechnology Materials and Devices Conference (NMDC), Oct. 2020

[] Approximate Computing and Its Application into DSP and AI Chip Design, College of Microelectronics, Hefei Institute of Technology, Sep. 2020.

[] Energy Efficient Approximate Computing IC Design, Huawei Technologies, Aug. 2020.

[] Approximate Computing for AI Chip Design, T-Head (Pingtouge Semiconductor), Mar. 2020.

[] Approximate Computing for Security and Security for Approximate Computing, CCF Fault-Tolerant Computing Technical Committee, Jan. 2020.

[] Approximate Computing: from Circuits to Systems, School of Computer Science, Electrical and Electronic Engineering, and Engineering Maths (SCEEM), University of Bristol, Nov. 2019.

[] Hardware Security: Progress and Prospects, 3rd Workshop on Astronautical Microsystem, Sep. 2019.

[] High Performance and Efficient Arithmetic for PQC, International Software and Hardware Design and Implementation Forum (SHDI), Sep. 2019.

[] Configurable PUFs and Attack Resistant Protocol, 4th National Forum on Hardware Security, CCF Chinese Fault Tolerant Computing Conference (CFTC)，Aug. 2019.

[] Approximate Computing and Its Application into Energy Efficient Circuits and Systems, Energy Efficient IC Design Forum, Southeast University, Aug. 2019.

[] Majority Logic based Approximate Computing, Invited Session on Nanotechnology based Computing, IEEE International Conference on Nanotechnology (IEEE-NANO), Jul. 2019.

[] Physical Unclonable Functions for Dependable System Security, Keynote Speech at UK-Jiangsu Workshop on Dependable Autonomous Systems (DPAS), Apr. 2019.

[] Design and Analysis of Approximate Computer Arithmetic, 2nd China Design Automation Symposium (ChinaDA), Jan. 2019.

[] Reconfigurable Physical Unclonable Functions, School of Computer Science, Wuhan University, Jan. 2019

[] Approximate Chip Design and Chip Fingerprint for Edge Computing, IC Power Tutorial, Ministry of Industry and Information Technology (MIIT), Oct. 2018.

[] Approximate Computing: Circuit and Algorithm Co-Design, Special Session on Approximate Computing, Asian Test Symposium (ATS), Oct. 2018.

[] The Current State and Future Development of Integrated Circuit Industry in China, Jiangsu Society of Aeronautics and Astronautics Annual Meeting, Jul. 2018.

[] Physical Unclonable Functions for Edge Computing Security, School of Electronic and Engineering, Nanjing University, Jun. 2018.

[] Approximate Circuits and Systems, Institute of Circuits and Systems, Tsinghua University, Nov. 2017

[] Approximate Computing: from Circuits to Systems, National ASIC Center, Southeast University, Nov. 2017.

[] Hardware Security and Post-Quantum Cryptography Chip, IC Power Seminar, Ministry of Industry and Information Technology (MIIT), Aug. 2017.

[] Approximate Computing Circuits, Natural Science Foundation of Jiangsu Province Young Scholar Seminar on Information Technologies, Aug. 2016.

[] Physical Unclonable Functions for IoT Security, National Mobile Communications Research Laboratory, Southeast University, Mar. 2016.