A5100640128- Advanced Memory and Neural Computing
- Neural Networks Stability and Synchronization
- Neural dynamics and brain function
- Chaos control and synchronization
- Neural Networks and Applications
- Neuroscience and Neural Engineering
- stochastic dynamics and bifurcation
- CCD and CMOS Imaging Sensors
- Ferroelectric and Negative Capacitance Devices
- Chaos-based Image/Signal Encryption
- Photoreceptor and optogenetics research
- Advanced Chemical Sensor Technologies
- Neural Networks and Reservoir Computing
- Topic Modeling
- Advanced Adaptive Filtering Techniques
- Nonlinear Dynamics and Pattern Formation
- Natural Language Processing Techniques
- Gas Sensing Nanomaterials and Sensors
- Machine Learning and ELM
- Blind Source Separation Techniques
- Insect Pheromone Research and Control
- Speech and Audio Processing
- Advanced Image and Video Retrieval Techniques
- Advanced Mathematical Modeling in Engineering
- Advanced Text Analysis Techniques
Southwest University
2016-2025
Shandong University
2020-2025
Shanghai Center for Brain Science and Brain-Inspired Technology
2018-2024
Amazon (United States)
2024
Anhui Normal University
2024
Chinese Academy of Medical Sciences & Peking Union Medical College
2021-2024
State Key Laboratory of Vehicle NVH and Safety Technology
2024
Jiangsu University
2024
Weifang University
2024
Shanghai Jiao Tong University
2021-2023
We apply a general deep learning framework to address the non-factoid question answering task. Our approach does not rely on any linguistic tools and can be applied different languages or domains. Various architectures are presented compared. create release QA corpus setup new task in insurance domain. Experimental results demonstrate superior performance compared baseline methods various technologies give further improvements. For this highly challenging task, top-1 accuracy reach up 65.3%...
Cellular nonlinear/neural network (CNN) has been recognized as a powerful massively parallel architecture capable of solving complex engineering problems by performing trillions analog operations per second. The memristor was theoretically predicted in the late seventies, but it garnered nascent research interest due to recent much-acclaimed discovery nanocrossbar memories engineers at Hewlett-Packard Laboratory. is expected be co-integrated with nanoscale CMOS technology revolutionize...
Abstract The wearable electronic skin with high sensitivity and self-power has shown increasing prospects for applications such as human health monitoring, robotic skin, intelligent products. In this work, we introduced demonstrated a design of highly sensitive, self-powered, based on pressure-sensitive nanofiber woven fabric sensor fabricated by weaving PVDF electrospun yarns nanofibers coated PEDOT. Particularly, the multi-leveled hierarchical structure, which significantly induced change...
Abstract Ion migration as well electron transfer and coupling in resistive switching materials endow memristors with a physically tunable conductance to resemble synapses, neurons, their networks. Four different types of volatile another four nonvolatile are systemically surveyed terms the mechanisms electrical properties that basis computing applications. The memristor features spontaneous decay after cease electrical/optical stimulations, which closely related surface atom diffusion,...
Abstract The negative photoconductance (NPC) effect, defined as an increase in resistance upon exposure to illumination, holds great potential for application photoelectric devices. A prepared memristor with the structure of Ag|graphene quantum dots (GQDs)|TiO x |F‐doped SnO 2 exhibits typical bipolar resistive switching (RS) memory behavior. NPC effect is impressively observed high state branch RS memory, enabling function be extended both logic display and multistate data storage....
Epidemiological studies of mild cognitive impairment (MCI) and subtypes MCI have rarely focused on rural residents in China.This population-based study included 5068 participants (age ≥60 years) who were living communities. We defined MCI, amnestic (aMCI), non-amnestic (naMCI) following the Petersen's criteria that integrated neuropsychological assessments with in-person clinical evaluations.The overall prevalence aMCI, naMCI was 26.48%, 22.30%, 4.18%, respectively. The increased age....
In-sensor and near-sensor computing are becoming the next-generation paradigm for high-density low-power sensory processing. To fulfil a efficient neuromorphic visual system with fully hierarchical emulation of retina cortex, emerging multimodal devices multi-stage processing hardware-implemented versatile image functions still lacking highly desirable. Here we demonstrate an multimodal-multifunctional resistive random-access memory (RRAM) device array based on modified silk fibroin protein...
There is a fundamental tradeoff between effectiveness and efficiency when designing retrieval models for large-scale document collections. Effectiveness tends to derive from sophisticated ranking functions, such as those constructed using learning rank, while gains tend arise improvements in query evaluation caching strategies. Given their inherently disjoint nature, it difficult jointly optimize end-to-end systems. To address this problem, we formulate develop novel cascade model, which...
The development of flexible and stretchable electronic skins that can mimic the complex characteristics natural skin is great value for applications in human motion detection, healthcare, speech recognition, robotics. In this work, we propose an efficient low-cost fabrication strategy to construct a highly sensitive enables detection dynamic static pressure, strain, flexion based on elastic graphene oxide (GO)-doped polyurethane (PU) nanofiber membrane with ultrathin conductive...
In this brief, we establish a novel complex-valued memristive recurrent neural network (CVMRNN) to study its stability. As generalization of real-valued networks, CVMRNN can be separated into real and imaginary parts. By means M-matrix Lyapunov function, the existence, uniqueness, exponential stability equilibrium point for CVMRNNs are investigated, sufficient conditions presented. Finally, effectiveness obtained results is illustrated by two numerical examples.
Synthesizing face sketches from real photos and its inverse have many applications. However, photo/sketch synthesis remains a challenging problem due to the fact that photo sketch different characteristics. In this work, we consider task as an image-to-image translation explore recently popular generative models (GANs) generate high-quality realistic photos. Recent GAN-based methods shown promising results on problems photo-to-sketch in particular, however, they are known limited abilities...
To delineate the cellular mechanisms underlying function of medial prefrontal cortex (mPFC) networks, it is critical to understand how synaptic inputs from various afferents are integrated and drive neuronal activity in this region. Using a newly developed slice preparation, we were able identify bundle axons that contain extraneocortical fibers projecting neurons prelimbic cortex. The anatomical origin functional connectivity identified fiber probed by vivo track tracing combination with...
Ultra-flexible egg albumen protein paper with a permittivity of 15–21, which is an improvement nearly 300% compared native albumen, and the protein-based memristor arrays photoelectric logic gates are developed.
This paper contributes to the understanding of memristor operation and its possible application fields through: (a) derivation a complete mathematical model for HP which takes into consideration inter-dependence between memristance, charge flux along with boundary initial conditions operation; (b) an introduction detailed charge- flux-controlled SPICE models realizing proposed model; (c) The incorporation in realization third-order chaotic system where single acts as nonlinear part system....
Citation recommendation is an interesting but challenging research problem. Most existing studies assume that all papers adopt the same criterion and follow behavioral pattern in deciding relevance authority of a paper. However, reality, have distinct citation patterns when looking for different references, depending on paper content, authors target venues. In this study, we investigate problem context heterogeneous bibliographic networks propose novel cluster-based framework, called...
Efficient identification of apple leaf diseases (ALDs) can reduce the use pesticides and increase quality fruit, which is significance to smart agriculture. However, existing research into identifying ALDs lacks models/methods that satisfy efficient in wild environment, hindering application agriculture industry. Therefore, this paper explores an ACCURATE, LIGHTWEIGHT, ROBUST convolutional neural network (CNN) called EfficientNet-MG, improving conventional EfficientNet by multistage feature...
Conservative chaotic systems (CCSs) have unique advantages over dissipative (DCSs) in the fields of secure communication and pseudo-random number generators (PRNGs), etc. However, there are relatively fewer reports on CCSs than DCSs. To this end, paper proposes an effective method for constructing a family Hamiltonian conservative (HCCSs) by letting any three four sub-bodies denoted 4D generalized Euler equations share rotation axis. From theoretical analysis to experimental verification,...