26 citations · 77 across the 11 of their papers we have counts for
11 papers
Mixed eigenstates in the Dicke model: Statistics and power-law decay of the relative proportion in the semiclassical limit
Qian Wang, Marko Robnik
How the mixed eigenstates vary with approaching the semiclassical limit in mixed-type many-body quantum systems is an interesting but still less known question. Here, we address th…
Recap: Detecting Deepfake Video with Unpredictable Tampered Traces via Recovering Faces and Mapping Recovered Faces
Juan Hu, Xin Liao, Difei Gao +4
The exploitation of Deepfake techniques for malicious intentions has driven significant research interest in Deepfake detection. Deepfake manipulations frequently introduce random…
Downstream-agnostic Adversarial Examples
Ziqi Zhou, Shengshan Hu, Ruizhi Zhao +4
Self-supervised learning usually uses a large amount of unlabeled data to pre-train an encoder which can be used as a general-purpose feature extractor, such that downstream users…
Power-law decay of the fraction of the mixed eigenstates in kicked top model with mixed-type classical phase space
Qian Wang, Marko Robnik
The properties of mixed eigenstates in a generic quantum system with classical counterpart that has mixed-type phase space, although important to understand several fundamental que…
Prediction of nanobubble-assisted focused ultrasound-induced blood-brain barrier opening with machine learning
Wenjing Li, Chenchen Bing, Haixin Dai +3
Novel approaches for predicting the outcomes of blood-brain barrier (BBB) opening with focused ultrasound (FUS) and microbubbles are highly desired. This study aims to explore mach…
Machine learning enhanced real-time aerodynamic forces prediction based on sparse pressure sensor inputs
Junming Duan, Qian Wang, Jan S. Hesthaven
Accurate prediction of aerodynamic forces in real-time is crucial for autonomous navigation of unmanned aerial vehicles (UAVs). This paper presents a data-driven aerodynamic force…
Mover: Mask and Recovery based Facial Part Consistency Aware Method for Deepfake Video Detection
Juan Hu, Xin Liao, Difei Gao +4
Deepfake techniques have been widely used for malicious purposes, prompting extensive research interest in developing Deepfake detection methods. Deepfake manipulations typically i…
Statistics of phase space localization measures and quantum chaos in the kicked top model
Qian Wang, Marko Robnik
Quantum chaos plays a significant role in understanding several important questions of recent theoretical and experimental studies. Here, by focusing on the localization properties…
Mover: Mask and Recovery based Facial Part Consistency Aware Method for Deepfake Video Detection
Juan Hu, Xin Liao, Difei Gao +4
Deepfake techniques have been widely used for malicious purposes, prompting extensive research interest in developing Deepfake detection methods. Deepfake manipulations typically i…
Excited state quantum phase transition and Loschmidt echo spectra in a spinor Bose-Einstein condensate
Zhen-Xia Niu, Qian Wang
Identifying dynamical signatures of excited state quantum phase transitions (ESQPTs) in experimentally realizable quantum many-body systems is helpful for understanding the dynamic…
Probabilistic Generative Transformer Language models for Generative Design of Molecules
Lai Wei, Nihang Fu, Yuqi Song +2
Self-supervised neural language models have recently found wide applications in generative design of organic molecules and protein sequences as well as representation learning for…