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Libo Zhao

7 accepted papers

2025

DrFrattn: Directly Learn Adaptive Policy from Attention for Simultaneous Machine Translation

EMNLP 2025

Simultaneous machine translation (SiMT) necessitates a robust read/write (R/W) policy to determine the optimal moments for translation, thereby balancing translation quality and latency. Effective timing in translation can align source and target tokens accurately. The attention mechanism within tra

2025

MFANet: Multi-Feature Aggregation Network for Multi-focus Image Fusion

ICASSP 2025accepted

Existing deep learning-based Multi-focus Image Fusion (MFIF) methods often rely on loss functions derived from linear combinations of image quality metrics, leading to complexities in training and only marginal improvements in image quality. Recognizing this, our study identifies input space and sca…

Cited by 0SourceScholar
2024

Divergence-Guided Simultaneous Speech Translation

AAAI 2024technical

To achieve high-quality translation with low latency, a Simultaneous Speech Translation (SimulST) system relies on a policy module to decide whether to translate immediately or wait for additional streaming input, along with a translation model capable of effectively handling partial speech input. P…

2024

PsFuture: A Pseudo-Future-based Zero-Shot Adaptive Policy for Simultaneous Machine Translation

EMNLP 2024main

Simultaneous Machine Translation (SiMT) requires target tokens to be generated in real-time as streaming source tokens are consumed. Traditional approaches to SiMT typically require sophisticated architectures and extensive parameter configurations for training adaptive read/write policies, which in…

2023

Adaptive Policy with Wait-k Model for Simultaneous Translation

EMNLP 2023long main

Simultaneous machine translation (SiMT) requires a robust read/write policy in conjunction with a high-quality translation model. Traditional methods rely on either a fixed wait-k policy coupled with a standalone wait-k translation model, or an adaptive policy jointly trained with the translation m…

Cited by 0SourceScholar
2019

3-D Image Reconstruction of Biological Organelles With a Robot-Aided Microscopy System for Intracellular Surgery

RA-L 2019

Intracellular surgery suffers from a low success rate due to the lack of three-dimensional (3-D) position feedback of selected organelles. In this study, we developed a novel robot-aided microscopy system and 3-D reconstruction algorithm to conduct intracellular surgery with 3-D information. A serie

Cited by 14SourceScholar