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Towards a New Paradigm for Brain-inspired Computer Vision

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Machine Intelligence Research 2022年第5期19卷 412-424页

作者： Xiao-Long Zou tie-jun huang Si Wu Beijing Academy of Artificial Intelligence Beijing 100084China School of Psychology and Cognitive Sciences IDG/McGovern Institute for Brain ResearchCenter for Quantitative BiologyPKU-Tsinghua Center for Life SciencesPeking UniversityBeijing 100084China National Engineering Research Center of Visual Technology School of Computer SciencePeking UniversityBeijing 100871China Institute for Artificial Intelligence Peking UniversityBeijing 100871China

Brain-inspired computer vision aims to learn from biological systems to develop advanced image processing ***,its progress so far is not *** recognize that a main obstacle comes from that the current paradigm for brain-inspired computer vision has not captured the fundamental nature of biological vision,i.e.,the biological vision is targeted for processing spatio-temporal ***,a new paradigm for developing brain-inspired computer vision is emerging,which emphasizes on the spatio-temporal nature of visual signals and the brain-inspired models for processing this type of *** this paper,we review some recent primary works towards this new paradigm,including the development of spike cameras which acquire spiking signals directly from visual scenes,and the development of computational models learned from neural systems that are specialized to process spatio-temporal patterns,including models for object detection,tracking,and *** also discuss about the future directions to improve the paradigm.

关键词： Brain-inspired computer vision spatio-temporal patterns object detection object tracking object recognition

Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches

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Machine Intelligence Research 2022年第5期19卷 350-365页

作者： Yi-jun Zhang Zhao-Fei Yu Jian.K.Liu tie-jun huang Department of Computer Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China School of Computer Science Peking UniversityBeijing 100190China Institute for Artificial Intelligence Peking UniversityBeijing 100190China School of Computing University of LeedsLeeds LS29JTUK Beijing Academy of Artificial Intelligence Beijing 100190Chin

Vision plays a peculiar role in *** information,forming a large part of the sensory information,is fed into the human brain to formulate various types of cognition and behaviours that make humans become intelligent *** advances have led to the development of brain-inspired algorithms and models for machine *** of the key components of these methods is the utilization of the computational principles underlying biological ***,advanced experimental neuroscience techniques have generated different types of neural signals that carry essential visual ***,there is a high demand for mapping out functional models for reading out visual information from neural ***,we briefly review recent progress on this issue with a focus on how machine learning techniques can help in the development of models for contending various types of neural signals,from fine-scale neural spikes and single-cell calcium imaging to coarse-scale electroencephalography(EEG)and functional magnetic resonance imaging recordings of brain signals.

关键词： Neural decoding machine learning deep learning visual decoding brain-inspired vision

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Salient object extraction for user-targeted video content association

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Journal of Zhejiang University-Science C(Computers and Electronics) 2010年第11期11卷 850-859页

作者： Jia LI Han-nan YU Yong-hong TIAN tie-jun huang Wen GAO Key Lab of lntelligent Information Processing Institute of Computing Technology Chinese Academy of Scienees Beijing 100190 China Graduate University of Chinese Academy of Sciences Beijing 100049 China National Engineering Lab for Video Technology (NEL VT) School of EE & CS Peking University Beijing 100871 China

The increasing amount of videos on the Internet and digital libraries highlights the necessity and importance of interactive video services such as automatically associating additional materials(e.g.,advertising logos and relevant selling information) with the video content so as to enrich the viewing *** this end,this paper presents a novel approach for user-targeted video content association(VCA) .In this approach,the salient objects are extracted automatically from the video stream using complementary saliency *** to these salient objects,the VCA system can push the related logo images to the *** the salient objects often correspond to important video content,the associated images can be considered as *** VCA system also allows users to associate images to the preferred video content through simple interactions by the mouse and an infrared ***,by learning the preference of each user through collecting feedbacks on the pulled or pushed images,the VCA system can provide user-targeted *** results show that our approach can effectively and efficiently extract the salient ***,subjective evaluations show that our system can provide content-related and user-targeted VCA services in a less intrusive way.

关键词： Salient object extraction User-targeted video content association Complementary saliency maps

Dual fluorescence in situ hybridization in detection of HER-2 oncogene amplification in primary hepatocellular carcinoma

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Hepatobiliary & Pancreatic Diseases International 2004年第1期3卷 62-68页

作者： tie-jun huang, Bi-jun huang, Qi-Wan Liang, Chu-Wen huang and Yan Fang Guangzhou, China Department of Nuclear Medicine , Second Municipal Hospital of Shenzhen, Shenzhen 518035, China Research Department, Cancer Center, Sun Yat-Sen University, Guangzhou 510060 , China Research Department Cancer Center Sun Yat-Sen University Guangzhou 510060 China.

BACKGROUND: Molecular cytogenetics of oncogene HER-2 amplification in primary hepatocellular carcinoma (HCC) is still unknown. The aim of this study was to in vestigate the frequency of HER-2 oncogene amplification in primary HCC and its relations to clinicopathological pa rameters and prognosis. METHODS: Forty-two surgical samples from patients with primary HCC were detected for their HER-2 oncogene am plification. The number of chromosome 17 and their ratio were tested by dual fluorescence in situ hybridization (FISH) technique, and then the correlations between HER-2 amplification, clinicopathological characteristics and prog nosis were analyzed statistically. RESULTS: HER-2 oncogene amplification was detected in 9 (21.4%) of the 42 primary HCCs, including 4 patient with high copy (HC) (9.5%) and 5 patients with low copy (LC) (11.9%). HER-2 amplification was associated signifi cantly with tumor size and postoperative survival time o HCC patients (Ptients (P>0.05). The HER-2 oncogene copy was exa mined in 31 (73.8%) of the 42 primary HCCs, consisting of 9 patients with HER-2 amplification (21.4%) and 22 pa tients with aneuploidy (52.4%). No significant relation were observed between the HER-2 oncogene copy, patien sex, tumor size, histopathological grading, clinical stag ing, postoperative relapse and survival time (P >0.05); bu the HER-2 oncogene copy was correlated significantly to age, AFP level and HBV infection (P tients, and seems to be a valuably independent prognostic factor predicting the r

关键词： hepatocellular carcinoma, primary HER-2 oncogene amplification dual fluorescence in situ hybridization

A Study of Electromyogram Based on Human-Computer Interface

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Journal of Electronic Science and Technology of China 2009年第1期7卷 69-73页

作者： jun-Ru Ren tie-jun Liu Yu huang De-Zhong Yao Key Laboratory for NeuroInformation of Ministry of Education School of Life University of Electronic Science and Technology of China Chengdu 610054 China

In this paper, a new control system based on forearm electromyogram （EMG） is proposed for computer peripheral control and artificial prosthesis control. This control system intends to realize the commands of six pre-defined hand poses： up, down, left, right, yes, and no. In order to research the possibility of using a unified amplifier for both electroencephalogram （EEG） and EMG, the surface forearm EMG data is acquired by a 4-channel EEG measurement system. The Bayesian classifier is used to classify the power spectral density （PSD） of the signal. The experiment result verifies that this control system can supply a high command recognition rate （average 48%） even the EMG data is collected with an EEG system just with single electrode measurement.

关键词： Bayesian classifier forearm electro-myogram hand pose human-computer interface.

Cross-media analysis and reasoning: advances and directions

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Frontiers of Information Technology & Electronic Engineering 2017年第1期18卷 44-57页

作者： Yu-xin PENG Wen-wu ZHU Yao ZHAO Chang-sheng XU Qing-ming huang Han-qing LU Qing-hua ZHENG tie-jun huang Wen GAO Institute of Computer Science and Technology Peking University Department of Computer Science and Technology Tsinghua University Institute of Information Science Beijing Jiaotong University National Laboratory of Pattern Recognition Institute of AutomationChinese Academy of Sciences Key Laboratory of Intelligent Information Processing Institute of Computing TechnologyChinese Academy of Sciences Department of Computer Science and Technology Xi'an Jiaotong University School of Electronics Engineering and Computer Science Peking University

Cross-media analysis and reasoning is an active research area in computer science, and a promising direction for artificial intelligence. However, to the best of our knowledge, no existing work has summarized the state-of-the-art methods for cross-media analysis and reasoning or presented advances, challenges, and future directions for the field. To address these issues, we provide an overview as follows：（1） theory and model for cross-media uniform representation; （2） cross-media correlation understanding and deep mining; （3） cross-media knowledge graph construction and learning methodologies; （4） cross-media knowledge evolution and reasoning; （5） cross-media description and generation; （6） cross-media intelligent engines; and （7） cross-media intelligent applications. By presenting approaches, advances, and future directions in cross-media analysis and reasoning, our goal is not only to draw more attention to the state-of-the-art advances in the field, but also to provide technical insights by discussing the challenges and research directions in these areas.

关键词： Cross-media analysis Cross-media reasoning Cross-media applications

Towards human-like and transhuman perception in AI 2.0:a review

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Frontiers of Information Technology & Electronic Engineering 2017年第1期18卷 58-67页

作者： Yong-hong TIAN Xi-lin CHEN Hong-kai XIONG Hong-liang LI Li-rong DAI Jing CHEN jun-liang XING Xi-hong WU Wei-min HU Yu HU tie-jun huang Wen GAO School of Electronics Engineering and Computer Science Peking University Institute of Computing Technology Chinese Academy of Sciences Department of Electronic Engineering Shanghai Jiao Tong University School of Electronic Engineering University of Electronic Science and Technology of China Department of Electronic Engineering and Information Sciences University of Science and Technology of China School of Optoelectronics Beijing Institute of Technology Institute of Automation Chinese Academy of Sciences

Perception is the interaction interface between an intelligent system and the real world. Without sophisticated and flexible perceptual capabilities, it is impossible to create advanced artificial intelligence （AI） systems. For the next-generation AI, called ＇AI 2.0＇, one of the most significant features will be that AI is empowered with intelligent perceptual capabilities, which can simulate human brain＇s mechanisms and are likely to surpass human brain in terms of performance. In this paper, we briefly review the state-of-the-art advances across different areas of perception, including visual perception, auditory perception, speech perception, and perceptual information processing and learning engines. On this basis, we envision several R＆D trends in intelligent perception for the forthcoming era of AI 2.0, including：（1） human-like and transhuman active vision; （2） auditory perception and computation in an actual auditory setting; （3） speech perception and computation in a natural interaction setting; （4） autonomous learning of perceptual information; （5） large-scale perceptual information processing and learning platforms; and （6） urban omnidirectional intelligent perception and reasoning engines. We believe these research directions should be highlighted in the future plans for AI 2.0.

关键词： Intelligent perception Active vision Auditory perception Speech perception Autonomous learning

Hypoxia-preconditioned bone marrow-derived mesenchymal stem cells protect neurons from cardiac arrest-induced pyroptosis

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Neural Regeneration Research 2025年第4期20卷 1103-1123页

作者： Xiahong Tang Nan Zheng Qingming Lin Yan You Zheng Gong Yangping Zhuang Jiali Wu Yu Wang Hanlin huang jun Ke Feng Chen Shengli Clinical Medical College of Fujian Medical University Fujian Medical UniversityFuzhouFujian ProvinceChina Department of Emergency Fujian Provincial HospitalFuzhouFujian ProvinceChina Fujian Provincial Key Laboratory of Emergency Medicine FuzhouFujian ProvinceChina The Second Department of Intensive Care Unit Fujian Provincial Hospital South BranchFuzhouFujian ProvinceChina

Cardiac arrest can lead to severe neurological impairment as a result of inflammation,mitochondrial dysfunction,and post-cardiopulmonary resuscitation neurological *** preconditioning has been shown to improve migration and survival of bone marrow–derived mesenchymal stem cells and reduce pyroptosis after cardiac arrest,but the specific mechanisms by which hypoxia-preconditioned bone marrow–derived mesenchymal stem cells protect against brain injury after cardiac arrest are *** this end,we established an in vitro co-culture model of bone marrow–derived mesenchymal stem cells and oxygen–glucose deprived primary neurons and found that hypoxic preconditioning enhanced the protective effect of bone marrow stromal stem cells against neuronal pyroptosis,possibly through inhibition of the MAPK and nuclear factor κB ***,we transplanted hypoxia-preconditioned bone marrow–derived mesenchymal stem cells into the lateral ventricle after the return of spontaneous circulation in an 8-minute cardiac arrest rat model induced by *** results showed that hypoxia-preconditioned bone marrow–derived mesenchymal stem cells significantly reduced cardiac arrest–induced neuronal pyroptosis,oxidative stress,and mitochondrial damage,whereas knockdown of the liver isoform of phosphofructokinase in bone marrow–derived mesenchymal stem cells inhibited these *** conclude,hypoxia-preconditioned bone marrow–derived mesenchymal stem cells offer a promising therapeutic approach for neuronal injury following cardiac arrest,and their beneficial effects are potentially associated with increased expression of the liver isoform of phosphofructokinase following hypoxic preconditioning.

关键词： bone marrow–derived mesenchymal stem cells cardiac arrest cardiac resuscitation hypoxic preconditioning liver isoform of phosphofructokinase mitochondria neuroinflammation oxidative stress pyroptosis reactive oxygen species

Quickly obtaining densely dispersed coherent particles in steel matrix and its related mechanical property

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International Journal of Minerals,Metallurgy and Materials 2025年第1期32卷 111-118页

作者： Xiaoxiao Wang Qingsong huang School of Chemical Engineering Sichuan UniversityChengdu 610065China

Densely distributed coherent nanoparticles(DCN)in steel matrix can enhance the work-hardening ability and ductility of steel *** the routes to this end can be generally classified into the liquid-solid route and the solid-solid ***,the formation of DCN structures in steel requires long processes and complex *** far,obtaining steel with coherent particle enhancement in a short time remains a bottleneck,and some necessary steps remain ***,we show a high-efficiency liquid-phase refining process reinforced by a dynamic magnetic ***-Y-Mn-O particles had an average size of around(3.53±1.21)nm and can be obtained in just around 180 *** small nanoparticles were coherent with the matrix,implying no accumulated dislocations between the particles and the steel *** findings have a potential application for improving material machining capacity,creep resistance,and radiation resistance.

关键词： ferritic steels coherent particles microstructure compression test work hardening