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| 1 | Magnetic Array Assisted Triboelectric Nanogenerator Sensor for Real‑Time Gesture Interaction显示文摘In human-machine interaction,robotic hands are useful in many scenarios.To operate robotic hands via gestures instead of handles will greatly improve the convenience and intuition of human-machine interaction.Here,we present a magnetic array assisted sliding triboelectric sensor for achieving a real-time gesture interaction between a human hand and robotic hand.With a finger’s traction movement of flexion or extension,the sensor can induce positive/negative pulse signals.Through counting the pulses in unit time,the degree,speed,and direction of finger motion can be judged in realtime.The magnetic array plays an important role in generating the quantifiable pulses.The designed two parts of magnetic array can transform sliding motion into contact-separation and constrain the sliding pathway,respectively,thus improve the durability,low speed signal amplitude,and stability of the system.This direct quantization approach and optimization of wearable gesture sensor provide a new strategy for achieving a natural,intuitive,and real-time human-robotic interaction. | Ken Qin Chen Chen Xianjie Pu Qian Tang Wencong He Yike Liu Qixuan Zeng Guanlin Liu Hengyu Guo Chenguo Hu | 2021 | Nano-Micro Letters2021，13，3： | 5 |
| 2 | Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems:A Review显示文摘Data assimilation(DA)and uncertainty quantification(UQ)are extensively used in analysing and reducing error propagation in high-dimensional spatial-temporal dynamics.Typical applications span from computational fluid dynamics(CFD)to geoscience and climate systems.Recently,much effort has been given in combining DA,UQ and machine learning(ML)techniques.These research efforts seek to address some critical challenges in high-dimensional dynamical systems,including but not limited to dynamical system identification,reduced order surrogate modelling,error covariance specification and model error correction.A large number of developed techniques and methodologies exhibit a broad applicability across numerous domains,resulting in the necessity for a comprehensive guide.This paper provides the first overview of state-of-the-art researches in this interdisciplinary field,covering a wide range of applications.This review is aimed at ML scientists who attempt to apply DA and UQ techniques to improve the accuracy and the interpretability of their models,but also at DA and UQ experts who intend to integrate cutting-edge ML approaches to their systems.Therefore,this article has a special focus on how ML methods can overcome the existing limits of DA and UQ,and vice versa.Some exciting perspectives of this rapidly developing research field are also discussed.Index Terms-Data assimilation(DA),deep learning,machine learning(ML),reduced-order-modelling,uncertainty quantification(UQ). | Sibo Cheng César Quilodrán-Casas Said Ouala Alban Farchi Che Liu Pierre Tandeo Ronan Fablet Didier Lucor Bertrand Iooss Julien Brajard Dunhui Xiao Tijana Janjic Weiping Ding Yike Guo Alberto Carrassi Marc Bocquet Rossella Arcucci | 2023 | IEEE/CAA Journal of Automatica Sinica2023，10，6： | 1 |
| 3 | Why AI still doesn't have consciousness?显示文摘Consciousness is one of the unique features of creatures,and is also the root of biological intelligence.Up to now,all machines and robots havenJt had consciousness.Then,will the artificial intelligence(AI)be conscious?Will robots have real intelligence without consciousness?The most primitive consciousness is the perception and expression of selfexistence.In order to perceive the existence of the concept of‘Ij,a creature must first have a perceivable boundary such as skin to separate‘I’from‘non-1’.For robots,to have the self-awareness,they also need to be wrapped by a similar sensory membrane.Nowadays,as intelligent tools,AI systems should also be regarded as the external extension of human intelligence.These tools are unconscious.The development of AI shows that intelligence can exist without consciousness.When human beings enter into the era of life intelligence from AI,it is not the AI became conscious,but that conscious lives will have strong AI.Therefore,it becomes more necessary to be careful on applying AI to living creatures,even to those lower-level animals with only consciousness.The subversive revolution of such application may produce more careful thinking. | Deyi Li Wen He Yike Guo | 2021 | CAAI Transactions on Intelligence Technology2021，6，2： | 1 |
| 4 | Design of metal-organic frameworks for improving pseudo-solid-state magnesium-ion electrolytes:Open metal sites,isoreticular expansion,and framework topology显示文摘The design criteria for metal-organic frameworks(MOFs)have been established by evaluating the rela-tionship between their key characteristics and magnesium-ion conductivity based on three types of sec-ondary building blocks(Zn_(4)O(CO_(2))_(6):MOF-5 and MOF-177;Cu_(2)(CO_(2))4:MOF-199,MOF-143,MOF-14,and MOF-399;Cu_(2)O_(2)(CO_(2))2:Cu-MOF-74)to achieve pseudo-solid-state magnesium-ion conduction.We found that open-metal sites and channel layouts play a pivotal role in promoting magnesium-ion transport dy-namics at reduced activation energy,transforming MOF scaffolds into ionic-channel analogs.X-ray ab-sorption spectroscopy combined with Raman and Fourier-transform infrared spectroscopy predicted the chemical environment,solvents,and anions that occupied coordinatively unsaturated metal sites.The chemical compositions of electrolytes determined by^(1)H-NMR(nuclear magnetic resonance)and organic elemental analysis confirmed that isoreticular expansion increases the molar percentage of charge carri-ers,providing high conductivity.The current research systematically reveals the impacts of different MOF characteristics on ionic conduction performance,paving the way for the construction of a new class of fast and selective multivalent-ion pseudo-solid electrolytes. | Yun Zheng Junpo Guo De Ning Yike Huang Wen Lei Jing Li Jianding Li Götz Schuck Jingjun Shen Yan Guo Qi Zhang Hao Tian Hou Ian Huaiyu Shao | 2023 | Journal of Materials Science & Technology2023，，13： | 0 |
| 5 | Li-and Mg-based borohydrides for hydrogen storage and ionic conductor显示文摘LiBH_(4) and Mg(BH_(4))_(2) with high theoretical hydrogen mass capacity receive significant attentions for hy-drogen storage.Also,these compounds can be potentially applied as solid-state electrolytes with their high ionic conductivity.However,their applications are hindered by the poor kinetics and reversibility for hydrogen storage and low ionic conductivity at room temperature,respectively.To address these challenges,effective strategies towards engineering the hydrogen storage properties and the emerging solid-state electrolytes with improved performances have been summarized.The focuses are on the state-of-the-art developments of Li/Mg-based borohydrides with a parallel comparison of similar methods ap-plied in both hydrogen storage and solid-state electrolytes,particularly on the phase,structure,and thermal properties changes of Li/Mg-based borohydrides induced by milling,ion substitution,coordination,adding additives/catalysts,and hydrides.The similarities and differences between the strategies towards two kinds of applications are also discussed and prospected.The review will shed light on the future development of Li/Mg-based borohydrides for hydrogen storage and solid-state electrolytes. | Yike Huang Yun Zheng Jianding Li Xiaozhi Bao Junpo Guo Jingjun Shen Yan Guo Qi Zhang Jing Li Wen Lei Huaiyu Shao | 2023 | Journal of Materials Science & Technology2023，，22： | 0 |
| 6 | Robust Local Light Field Synthesis via Occlusion-aware Sampling and Deep Visual Feature Fusion显示文摘Novel view synthesis has attracted tremendous research attention recently for its applications in virtual reality and immersive telepresence.Rendering a locally immersive light field(LF)based on arbitrary large baseline RGB references is a challenging problem that lacks efficient solutions with existing novel view synthesis techniques.In this work,we aim at truthfully rendering local immersive novel views/LF images based on large baseline LF captures and a single RGB image in the target view.To fully explore the precious information from source LF captures,we propose a novel occlusion-aware source sampler(OSS)module which efficiently transfers the pixels of source views to the target view′s frustum in an occlusion-aware manner.An attention-based deep visual fusion module is proposed to fuse the revealed occluded background content with a preliminary LF into a final refined LF.The proposed source sampling and fusion mechanism not only helps to provide information for occluded regions from varying observation angles,but also proves to be able to effectively enhance the visual rendering quality.Experimental results show that our proposed method is able to render high-quality LF images/novel views with sparse RGB references and outperforms state-of-the-art LF rendering and novel view synthesis methods. | Wenpeng Xing Jie Chen Yike Guo | 2023 | Machine Intelligence Research2023，20，3： | 0 |
| 7 | Protocol for Brain Magnetic Resonance Imaging and Extraction of Imaging‑Derived Phenotypes from the China Phenobank Project显示文摘Imaging-derived phenotypes(IDPs)have been increasingly used in population-based cohort studies in recent years.As widely reported,magnetic resonance imaging(MRI)is an important imaging modality for assessing the anatomical structure and function of the brain with high resolution and excellent soft-tissue contrast.The purpose of this article was to describe the imaging protocol of the brain MRI in the China Phenobank Project(CHPP).Each participant underwent a 30-min brain MRI scan as part of a 2-h whole-body imaging protocol in CHPP.The brain imaging sequences included T1-magnetization that prepared rapid gradient echo,T2 fuid-attenuated inversion-recovery,magnetic resonance angiography,difusion MRI,and resting-state functional MRI.The detailed descriptions of image acquisition,interpretation,and post-processing were provided in this article.The measured IDPs included volumes of brain subregions,cerebral vessel geometrical parameters,microstructural tracts,and function connectivity metrics. | Chengyan Wang Zhang Shi Yan Li Xueqin Xia Xutong Kuang Shufang Qian Le Xue Lizhen Lan Yudan Wu Na Zhang Ji Tao Xumei Hu Wenzhao Cao Naying He Yike Guo Weibo Chen Jun Zhang Jingchun Luo He Wang Mei Tian | 2023 | Phenomics2023，3，6： | 0 |
| 8 | Computing Science in Transdisciplinary Education显示文摘Transdisciplinary collaboration has achieved remarkable results in many fields,and many global challenges also require transdisciplinary collaboration.Therefore,transdisciplinary education and research is one of the inevitable trends in the future development of universities.In this context,HKUST has made innovative changes in transdisciplinary education and research.First,we set three missions for the development of HKUST in transdisciplinary education and research.Second,we established the HKUST Guangzhou Campus to carry out a new revolution in transdisciplinary education and research.In addition,Big Data,AI,and computer science play a vital role in transdisciplinary research and collaboration,and we also need to rethink the role of computer science and how to better refer to supporting interdisciplinary collaboration. | Yike Guo | 2024 | 计算机教育2024，，3： | 0 |
| 9 | Panel Discussion on“Development Trends of Computer Science in the New Era”显示文摘At the panel session of the 3rd Global Forum on the Development of Computer Science,attendees had an opportunity to deliberate recent issues affecting computer science departments as a result of the recent growth in the field.6 heads of university computer science departments participated in the discussions,including the moderator,Professor Andrew Yao.The first issue was how universities are managing the growing number of applicants in addition to swelling class sizes.Several approaches were suggested,including increasing faculty hiring,implementing scalable teaching tools,and working closer with other departments through degree programs that integrate computer science with other fields.The second issue was about the position and role of computer science within broader science.Participants generally agreed that all fields are increasingly relying on computer science techniques,and that effectively disseminating these techniques to others is a key to unlocking broader scientific progress. | Andrew Yao Nancy M.Amato Ann Copestake Sukyoung Ryu Yike Guo Yaqin Zhang | 2024 | 计算机教育2024，，3： | 0 |
| 10 | Time-in-action RL显示文摘The authors propose a novel reinforcement learning(RL)framework,where agent behaviour is governed by traditional control theory.This integrated approach,called time-in-action RL,enables RL to be applicable to many real-world systems,where underlying dynamics are known in their control theoretical formalism.The key insight to facilitate this integration is to model the explicit time function,mapping the state-action pair to the time accomplishing the action by its underlying controller.In their framework,they describe an action by its value(action value),and the time that it takes to perform(action time).An action-value results from the policy of RL regarding a state.Action time is estimated by an explicit time model learnt from the measured activities of the underlying controller.RL value network is then trained with embedded time model to predict action time.This approach is tested using a variant of Atari Pong and proved to be convergent. | Jiangcheng Zhu Zhepei Wang Douglas Mcilwraith Chao Wu Chao Xu Yike Guo | 2019 | IET Cyber-Systems and Robotics2019，1，1： | 0 |
| 11 | Engineering Bio Informatics显示文摘 | Yike Guo | 2001 | Wuhan University Journal of Natural Sciences2001，6，Z1： | 0 |
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