代表性论文：
1. S. Song, L. Liu, Z. Wang and J. Xu, Dual-Bit-Wise Stochastic Decoding for Polar Codes, in IEEE Transactions on Signal Processing (T-SP), vol. 71, pp. 512-524, 2023.
2. D. Zhu, R. Zhang, L. Ou, J. Tian, and Z. Wang, “Low-Latency Design and Implementation of the Squaring in Class Groups for Verifiable Delay Function Using Redundant Representation,” in IACR Transactions on Cryptographic Hardware and Embedded Systems （CHES’2023）, 2023(1), 438–462.
3. L. Feng, J. Sha and Z. Wang, 1+1<2: Efficient Automatic Standard Cell Sharing between Digital VLSI Designs for Area Saving, in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (T-CAD), 2023. (Early Access)
4. W. Mao, S. Yang, H. Shi, J. Liu and Z. Wang, Intelligent Typography: Artistic Text Style Transfer for Complex Texture and Structure, in IEEE Transactions on Multimedia (T-Mul), 2022. (Early Access)
5. J. Lu, C. Ni and Z. Wang, ETA: An Efficient Training Accelerator for DNNs Based on Hardware-Algorithm Co-Optimization, in IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2022. (Early Access)
6. M. Wang, L. He, J. Lin and Z. Wang, Rethinking Adaptive Computing: Building a Unified Model Complexity-Reduction Framework with Adversarial Robustness, in IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), vol. 33, no. 4, pp. 1803-1810, April 2022.
7. S. Zhang, W. Mao, and Z. Wang, An Efficient Accelerator of Deformable 3D Convolutional Network for Video Super-Resolution, 2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2022 (Best Paper Award)
8. J. Tian, P. Wang, Z. Liu, J. Lin, Z. Wang and J. Großschädl, Efficient Software Implementation of the SIKE Protocol Using a New Data Representation, in IEEE Transactions on Computers (T-C), vol. 71, no. 3, pp. 670-683, 1 March 2022.
9. H. Cui, F. Ghaffari, K. Le, D. Declercq, J. Lin and Z. Wang, Design of High-Performance and Area-Efficient Decoder for 5G LDPC Codes, in IEEE Transactions on Circuits and Systems I: Regular Papers (T-CASI), vol. 68, no. 2, pp. 879-891, Feb. 2021.
10. C. Ni, J. Lu, J. Lin, and Z. Wang, LBFP: Logarithmic Block Floating Point Arithmetic for Deep Neural Networks, 2020 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), pp. 201-204, Dec., 2020 (Best Paper Award)
11. J. Wang, J. Lin, and Z. Wang, Efficient Hardware Architectures for Deep Convolutional Neural Network, IEEE Transactions on Circuits and Systems I: Regular Papers (T-CASI), vol. 65, no. 6, pp. 1941-1953, Jun., 2018 (Top 10 popular documents for over one year)
12. Z. Wang, Z, Cui, and J. Sha, “VLSI Design for LDPC Codes Decoding,” in IEEE Circuits and Systems Magazine, First quarter, 2011.
13. Z. Wang and Z. Cui, “Low Complexity, High Speed Decoder Design for Quasi-Cyclic Low Density Parity Check Codes,” in IEEE Trans. on VLSI Systems (T-VLSI), vol. 15, no. 1, Jan. 2007 (Top 4 most downloaded papers in IEEE Trans. on VLSI Systems in 2007)
14. Z. Wang and J. Ma, “Fast Interpolation Architecture for Soft-Decision Decoding of Reed-Solomon Codes,” in IEEE Trans. on VLSI Systems (T-VLSI), vol. 14, no. 9, pp. 937-950, Sep. 2006 (IEEE VLSI Transactions Best Paper Award in 2007)
15. Z. Wang and K. Parhi, “High Performance, High Throughput Turbo/SOVA Decoder Design,”IEEE Trans. on Communications (T-COMM), vol. 51, no 4, April 2003, pp. 570-79.
