Yichi Zhang

Orcid: 0009-0005-1156-5538

Affiliations:
  • Cornell University, Ithaca, NY, USA


According to our database1, Yichi Zhang authored at least 10 papers between 2020 and 2024.

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Bibliography

2024
Trainable Fixed-Point Quantization for Deep Learning Acceleration on FPGAs.
CoRR, 2024

2023
A 28-nm 8-bit Floating-Point Tensor Core-Based Programmable CNN Training Processor With Dynamic Structured Sparsity.
IEEE J. Solid State Circuits, 2023

Binarized Neural Machine Translation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Understanding Hyperdimensional Computing for Parallel Single-Pass Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A 28nm 8-bit Floating-Point Tensor Core based CNN Training Processor with Dynamic Activation/Weight Sparsification.
Proceedings of the 48th IEEE European Solid State Circuits Conference, 2022

PokeBNN: A Binary Pursuit of Lightweight Accuracy.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations.
Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021


2020
Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations.
Proceedings of the 8th International Conference on Learning Representations, 2020


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