Chenggang Yan

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 15

Top Topics

Floating Point Unit

Quantization Scheme

Top Venues

IEEE Trans. Circuits Syst. I Regul. Pap.

ACM Great Lakes Symposium on VLSI

Publications

Haonan Zhu, Bi Wu, Tianyang Yu, Ke Chen, Chenggang Yan, Weiqiang Liu
A Potential Enabler for High-Performance In-Memory Multi-Bit Arithmetic Schemes With Unipolar Switching SOT-MRAM. IEEE Trans. Circuits Syst. I Regul. Pap. 71 (7) (2024)
Ziying Cui, Ke Chen, Bi Wu, Chenggang Yan, Yu Gong, Weiqiang Liu
A Time Efficient Comprehensive Model of Approximate Multipliers for Design Space Exploration. ARITH (2024)
Tianyang Yu, Bi Wu, Ke Chen, Chenggang Yan, Weiqiang Liu
Toward Efficient Retraining: A Large-Scale Approximate Neural Network Framework With Cross-Layer Optimization. IEEE Trans. Very Large Scale Integr. Syst. 32 (6) (2024)
Wenzhuo Xie, Chenggang Yan, Hanghang Wang, Ke Chen, Bi Wu, Chenghua Wang, Weiqiang Liu
A High Accuracy and Hardware Efficient Adaptive Filter Design with Approximate Computing. MWSCAS (2023)
Yuxuan Cui, Chenggang Yan, Weiqiang Liu
High Performance and Hardware-Efficient Approximate BPF Decoder for Polar codes. ISCAS (2023)
Chenggang Yan, Xuan Zhao, Tingting Zhang, Jipeng Ge, Chenghua Wang, Weiqiang Liu
Design of High Hardware Efficiency Approximate Floating-Point FFT Processor. IEEE Trans. Circuits Syst. I Regul. Pap. 70 (11) (2023)
Haonan Wang, Ke Chen, Chenggang Yan, Bi Wu, Weiqiang Liu
Hardware-Efficient Accurate and Approximate FPGA Multipliers for Error-Tolerant Applications. MWSCAS (2023)
Chenggang Yan, Yuxuan Cui, Ke Chen, Bi Wu, Weiqiang Liu
Hardware Efficient Successive-Cancellation Polar Decoders Using Approximate Computing. IEEE J. Emerg. Sel. Topics Circuits Syst. 13 (1) (2023)
Bi Wu, Haonan Zhu, Ke Chen, Chenggang Yan, Weiqiang Liu
MLiM: High-Performance Magnetic Logic in-Memory Scheme With Unipolar Switching SOT-MRAM. IEEE Trans. Circuits Syst. I Regul. Pap. 70 (6) (2023)
Tianyang Yu, Bi Wu, Ke Chen, Chenggang Yan, Weiqiang Liu
Energy-efficient Oriented Approximate Quantization Scheme for Fine-Grained Sparse Neural Network Acceleration. ICCD (2022)
Bi Wu, Zhengkuan Wang, Ke Chen, Chenggang Yan, Weiqiang Liu
GBC: An Energy-Efficient LSTM Accelerator With Gating Units Level Balanced Compression Strategy. IEEE Trans. Circuits Syst. I Regul. Pap. 69 (9) (2022)
Tianyang Yu, Bi Wu, Ke Chen, Chenggang Yan, Weiqiang Liu
Data Stream Oriented Fine-grained Sparse CNN Accelerator with Efficient Unstructured Pruning Strategy. ACM Great Lakes Symposium on VLSI (2022)
Xuan Zhao, Chenggang Yan, Chenghua Wang, Weiqiang Liu
Design of Approximate Floating-point FFT with Mantissa Bit-width Adjustment Algorithm. APCCAS (2022)
Ziying Cui, Ke Chen, Bi Wu, Chenggang Yan, Weiqiang Liu
An Energy-efficient and High-precision Approximate MAC with Distributed Arithmetic Circuits. ACM Great Lakes Symposium on VLSI (2022)
Jipeng Ge, Chenggang Yan, Xuan Zhao, Ke Chen, Bi Wu, Weiqiang Liu
An Energy-Efficient Approximate Floating-Point Multipliers for Wireless Communications. APCCAS (2022)