Chieh-Fang Teng

Orcid: 0000-0002-3965-842X

According to our database1, Chieh-Fang Teng authored at least 23 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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On csauthors.net:

Bibliography

2024
A 40nm 24.6TOPS/W Scalable EfficientDet Processor for Object Detection.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

2023
Joint Optimization of Dimension Reduction and Mixed-Precision Quantization for Activation Compression of Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023

2022
WMMSE-Based Alternating Optimization for Low-Complexity Multi-IRS MIMO Communication.
IEEE Trans. Veh. Technol., 2022

Low-Complexity Compressive Channel Estimation for IRS-Aided mmWave Systems With Hypernetwork-Assisted LAMP Network.
IEEE Commun. Lett., 2022

Learnable Mixed-precision and Dimension Reduction Co-design for Low-storage Activation.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2022

Compression-Aware Projection with Greedy Dimension Reduction for Convolutional Neural Network Activations.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Convolutional Neural Network-Aided Tree-Based Bit-Flipping Framework for Polar Decoder Using Imitation Learning.
IEEE Trans. Signal Process., 2021

A 7.8-13.6 pJ/b Ultra-Low Latency and Reconfigurable Neural Network-Assisted Polar Decoder With Multi-Code Length Support.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021

Two-Step Codebook-Assisted Alternating Minimization (CA-AltMin) for Low-Complexity Hybrid Beamforming Design.
IEEE Commun. Lett., 2021

Convolutional Neural Network-Aided Bit-Flipping for Belief Propagation Decoding of Polar Codes.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Accumulated Polar Feature-Based Deep Learning for Efficient and Lightweight Automatic Modulation Classification With Channel Compensation Mechanism.
IEEE Trans. Veh. Technol., 2020

Syndrome-Enabled Unsupervised Learning for Neural Network-Based Polar Decoder and Jointly Optimized Blind Equalizer.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

Syndrome-Enabled Unsupervised Learning for Channel Adaptive Blind Equalizer with Joint Optimization Mechanism.
CoRR, 2020

Accumulated Polar Feature based Deep Learning with Channel Compensation Mechanism for Efficient Automatic Modulation Classification under Time varying Channels.
CoRR, 2020

An Ultra-Low Latency 7.8-13.6 pJ/b Reconfigurable Neural Network-Assisted Polar Decoder with Multi-Code Length Support.
Proceedings of the IEEE Symposium on VLSI Circuits, 2020

Neural Network-Aided BCJR Algorithm for Joint Symbol Detection and Channel Decoding.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2020

A Neural Network-Aided Viterbi Receiver for Joint Equalization and Decoding.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Low-Complexity LSTM-Assisted Bit-Flipping Algorithm For Successive Cancellation List Polar Decoder.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Unsupervised Learning for Neural Network-based Polar Decoder via Syndrome Loss.
CoRR, 2019

Low-complexity Recurrent Neural Network-based Polar Decoder with Weight Quantization Mechanism.
Proceedings of the IEEE International Conference on Acoustics, 2019

Neural Network-based Equalizer by Utilizing Coding Gain in Advance.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018
Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017
Reliable compressive sensing (CS)-based multi-user detection with power-based Zadoff-Chu sequence design.
Proceedings of the 2017 IEEE International Workshop on Signal Processing Systems, 2017


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