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9 papers · 1 filter
Class Balance Matters to Active Class-Incremental Learning
Zitong Huang, Ze Chen, Yuanze Li +6
Few-Shot Class-Incremental Learning has shown remarkable efficacy in efficient learning new concepts with limited annotations. Nevertheless, the heuristic few-shot annotations may…
Harnessing LLMs for Automated Video Content Analysis: An Exploratory Workflow of Short Videos on Depression
Jiaying Lizzy Liu, Yunlong Wang, Yao Lyu +4
Despite the growing interest in leveraging Large Language Models (LLMs) for content analysis, current studies have primarily focused on text-based content. In the present work, we…
Simulation of chiral motion of excitation within the ground-state manifolds of neutral atoms
Hao-Yuan Tang, Xiao-Xuan Li, Jia-Bin You +1
Laser-induced gauge fields in neutral atoms serve as a means of mimicking the effects of a magnetic field, providing researchers with a platform to explore behaviors analogous to t…
PROUD: PaRetO-gUided Diffusion Model for Multi-objective Generation
Yinghua Yao, Yuangang Pan, Jing Li +2
Recent advancements in the realm of deep generative models focus on generating samples that satisfy multiple desired properties. However, prevalent approaches optimize these proper…
Solving Fractional Differential Equations on a Quantum Computer: A Variational Approach
Fong Yew Leong, Dax Enshan Koh, Jian Feng Kong +6
We introduce an efficient variational hybrid quantum-classical algorithm designed for solving Caputo time-fractional partial differential equations. Our method employs an iterable…
Simulation of a feedback-based algorithm for quantum optimization for a realistic neutral atom system with an optimized small-angle controlled-phase gate
S. X. Li, W. L. Mu, J. B. You +1
In contrast to the classical optimization process required by the quantum approximate optimization algorithm, FALQON, a feedback-based algorithm for quantum optimization [A. B. Mag…