699 citations · 1.3k across the 41 of their papers we have counts for
39 papers
Tgea: An error-annotated dataset and benchmark tasks for text generation from pretrained language models
Jie He, Bo Peng, Yi Liao +2
In order to deeply understand the capability of pretrained language models in text generation and conduct a diagnostic evaluation, we propose TGEA, an error-annotated dataset with…
Rethinking Superpixel Segmentation from Biologically Inspired Mechanisms
Tingyu Zhao, Bo Peng, Yuan Sun +3
Recently, advancements in deep learning-based superpixel segmentation methods have brought about improvements in both the efficiency and the performance of segmentation. However, a…
USL-Net: Uncertainty Self-Learning Network for Unsupervised Skin Lesion Segmentation
Xiaofan Li, Bo Peng, Jie Hu +3
Unsupervised skin lesion segmentation offers several benefits, including conserving expert human resources, reducing discrepancies due to subjective human labeling, and adapting to…
Qutrit Circuits and Algebraic Relations: A Pathway to Efficient Spin-1 Hamiltonian Simulation
Oluwadara Ogunkoya, Joonho Kim, Bo Peng +2
Quantum information processing has witnessed significant advancements through the application of qubit-based techniques within universal gate sets. Recently, exploration beyond the…
Hybrid algorithm for the time-dependent Hartree-Fock method using the Yang-Baxter equation on quantum computers
Sahil Gulania, Stephen K. Gray, Yuri Alexeev +2
The time-dependent Hartree-Fock (TDHF) method is an approach to simulate the mean field dynamics of electrons within the assumption that the electrons move independently in their s…
Distributionally Robust Variational Quantum Algorithms with Shifted Noise
Zichang He, Bo Peng, Yuri Alexeev +1
Given their potential to demonstrate near-term quantum advantage, variational quantum algorithms (VQAs) have been extensively studied. Although numerous techniques have been develo…