A5100636731- Laser-Plasma Interactions and Diagnostics
- Magnetic confinement fusion research
- Laser-induced spectroscopy and plasma
- Emotion and Mood Recognition
- Infrared Thermography in Medicine
- Video Analysis and Summarization
- Optical Network Technologies
- Plasma Diagnostics and Applications
- Particle accelerators and beam dynamics
- Face recognition and analysis
- Nonlinear Optical Materials Studies
- Porphyrin and Phthalocyanine Chemistry
- Atomic and Molecular Physics
- Photochromic and Fluorescence Chemistry
- Multimedia Communication and Technology
- Visual Attention and Saliency Detection
- Industrial Vision Systems and Defect Detection
- Laser Design and Applications
- Advanced Neural Network Applications
- Neural Networks and Reservoir Computing
- Technology and Data Analysis
- Fusion materials and technologies
- Face Recognition and Perception
- Impact of AI and Big Data on Business and Society
- Pain Mechanisms and Treatments
University of Electronic Science and Technology of China
2018-2024
Huzhou University
2024
Columbia University
2010
Anhui University
2004
Institute of Plasma Physics
2003
This paper presents a comprehensive framework for enhancing AI model interpretability in financial risk assessment through contrastive time series visualization techniques. Financial institutions increasingly deploy complex models assessment, yet these often function as "black boxes," creating significant challenges analysts and regulatory compliance issues. We propose novel approach that combines information theory-based methods with interactive visual analytics to reveal critical temporal...
This paper presents a comprehensive framework for enhancing AI model interpretability in financial risk assessment through contrastive time series visualization techniques. Financial institutions increasingly deploy complex models assessment, yet these often function as "black boxes," creating significant challenges analysts and regulatory compliance issues. We propose novel approach that combines information theory-based methods with interactive visual analytics to reveal critical temporal...
From the perspective of Computer vision, both visual saliency and object detection have attracted hot attention in field traffic scene perception. However, these two tasks are often seen as independent missions, their correlations rarely been explored. In real driving scenarios, drivers mainly care about salient objects closely related to current task under guidance selective attention. This process highly integrates perception detection, leading efficient quick decision-making, thus...
The estimation of pain intensity is critical for medical diagnosis and treatment patients. With the development image monitoring technology artificial intelligence, automatic assessment based on facial expression behavioral analysis shows a potential value in clinical applications. This paper reports framework convolutional neural network with global local attention mechanism (GLA-CNN) effective detection at four-level thresholds using images. GLA-CNN includes two modules, namely (GANet)...
A beam emission spectroscopy (BES) diagnostic system has been developed on HL-2A tokomak. Combined with motional Stark effect (MSE) diagnostics, the BES could assess radial electric field E <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">r</sub> and safety factor q, which play an important role in plasma control impurity transport processes. simulation of spectra (SOS) code for simulations based various tokamak devices' real situations. It can...
Neutral beam (NB) attenuation and emission are important aspects for Beam Emission Spectroscopy diagnostic on magnetic confinement devices. In this article, we present the simulation of in typical HL-2A discharge scenarios, i.e. Low mode (L-mode) High (H-mode) discharges. Not only NB attenuation, but also plasma density electron temperature determine intensity. The pronounced peak ranges from ρ =r/a=0.7 to 0.9 H-mode discharge, while it has a much lower broader L-mode discharge. 16 BES...
As an alternative solution to surpass electronic neural networks, optical networks (ONNs) offer significant advantages in terms of energy consumption and computing speed. Despite the hardware platform could provide efficient approach realizing network algorithms than traditional hardware, lack nonlinearity limits development ONNs. Here, we proposed experimentally demonstrated all-optical nonlinear activator based on stimulated Brillouin scattering (SBS). Utilizing exceptional carrier...
With the folding target and double-step target,the propagating character of shock wave driven by an inclined-incident (with angle ～45°) laser was studied on “Shenguang-Ⅱ” high-power facility.The result indicated that in still propagates along vertical direction to surface.Also same verified indirectly another experiment based measurement for spatial intensity distribution x-ray radiated from jet plasmas.
Abstract A novel pyridinium salt, 2,4‐bis[ p ‐( N,N ‐dimethylamino)styryl]‐ N ‐methyl iodide (BMSPI) was synthesized and characterized by TG, 1 H NMR spectroscopy elemental analysis. the reaction process studied Using ES‐MS. When BMSPI pumped a pulsed 1064 nm, 50 ps laser him. it manifests highly efficient TPA (Two‐Photon Absorption) up‐conversion superradiance. The efficiency 6.0% at pump energy of 4–6 mJ Lifetime two‐photon fluorescence measured as 59 ps.
Summary form only given, as follows. With the folding target and double-step target, propagating characters of shock wave directly driven by inclined-incident laser were studied on Shenguang-II high power facility. The results indicated that in still propagates along with vertical direction target's surface. Also same result was verified indirectly another experiment based measurement for spatial intensity distribution X-ray radiated from jet plasmas. Using three-beams basic frequency beam...
Face perception and motion analysis are standard functions of the ventral dorsal visual pathways, respectively. Although it has long been recognized that separation two pathways is far from absolute, little known about relationship between face processing. Based on well-known phenomenon mislocalization, we show without varying any form cues, happy sad facial expressions can be solely defined by local gradients in second-order cartoon faces. Moreover, probe representations measuring how these...