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SID International Symposium Digest of Technical Papers, 2023

作者： Xie, Xinying Chen, Kaiqi Zhou, Zhichao Jiang, Wei Wang, Yuqi Wang, Sisi Xia, Zhihe Wong, Man Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Kowloon Hong Kong The State Key Laboratory on Advanced Displays and Optoelectronics Technologies The Hong Kong University of Science and Technology Kowloon Hong Kong The Hong Kong University of Science and Technology Shenzhen Research Institute Shenzhen518057 China

Indium-tin-zinc oxide (ITZO) covered with a silicon oxide layer can be made conductive when subjected to an oxygen plasma treatment. The resulting resistivity is sensitive to the thickness of the cover oxide, the plasma excitation power, and the treatment time. With 280 nm of cover oxide and 10 mins of treatment, the lowest resistivity achieved is 1.2 mΩ∙cm in a plasma biased with a radio frequency excitation power of 100 W and an inductively coupled plasma excitation power of 2000 W. The treatment has been deployed to form the source/drain regions of a self-aligned, top-gate ITZO thin-film transistor. © 2023, John Wiley and Sons Inc. All rights reserved.

关键词： Thin film transistors

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Multi-hazard susceptibility mapping based on Convolutional Neural Networks

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Geoscience Frontiers 2022年第5期13卷 59-74页

作者： Kashif Ullah Yi Wang Zhice Fang Lizhe Wang Mahfuzur Rahman Institute of Geophysics and Geomatics China University of GeosciencesWuhan 430074China State Key Laboratory of Biogeology and Environmental Geology China University of GeosciencesWuhan 430074China School of Computer Science China University of GeosciencesWuhan 430074China Hubei Key Laboratory of Intelligent Geo-Information Processing China University of GeosciencesWuhan 430074China Department of Civil Engineering International University of Business Agriculture and Technology(IUBAT)Dhaka 1230Bangladesh

Multi-hazard susceptibility prediction is an important component of disasters risk management *** effective multi-hazard risk mitigation strategy includes assessing individual hazards as well as their ***,with the rapid development of artificial intelligence technology,multi-hazard susceptibility prediction techniques based on machine learning has encountered a huge *** order to effectively solve this problem,this study proposes a multi-hazard susceptibility mapping framework using the classical deep learning algorithm of Convolutional Neural Networks(CNN).First,we use historical flash flood,debris flow and landslide locations based on Google Earth images,extensive field surveys,topography,hydrology,and environmental data sets to train and validate the proposed CNN ***,the proposed CNN method is assessed in comparison to conventional logistic regression and k-nearest neighbor methods using several objective criteria,i.e.,coefficient of determination,overall accuracy,mean absolute error and the root mean square *** results show that the CNN method outperforms the conventional machine learning algorithms in predicting probability of flash floods,debris flows and ***,the susceptibility maps of the three hazards based on CNN are combined to create a multi-hazard susceptibility *** can be observed from the map that 62.43%of the study area are prone to hazards,while 37.57%of the study area are *** hazard-prone areas,16.14%,4.94%and 30.66%of the study area are susceptible to flash floods,debris flows and landslides,*** terms of concurrent hazards,0.28%,7.11%and 3.13%of the study area are susceptible to the joint occurrence of flash floods and debris flow,debris flow and landslides,and flash floods and landslides,respectively,whereas,0.18%of the study area is subject to all the three *** results of this study can benefit engineers,disaster managers and local government offici

关键词： Multi-hazard Convolutional Neural Network Machine learning Eastern Hindukush Pakistan

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Dynamic ocean inverse modeling based on differentiable rendering

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Computational Visual Media 2024年第2期10卷 279-294页

作者： Xueguang Xie Yang Gao Fei Hou Aimin Hao Hong Qin State Key Lab of Virtual Reality Technology and Systems Beihang UniversityBeijing 100191China Qingdao Research Institute Beihang UniversityQingdao 266100Chinaand Peng Cheng LabShenzhen 518000China SKLCS Institute of SoftwareChinese Academy of SciencesBeijing 100190Chinaand University of Chinese Academy of SciencesBeijing 100049China Department of Computer Science Stony Brook University(SUNY at Stony Brook)Stony BrookNew York 11794-2424USA

Learning and inferring underlying motion patterns of captured 2D scenes and then re-creating dynamic evolution consistent with the real-world natural phenomena have high appeal for graphics and *** bridge the technical gap between virtual and real environments,we focus on the inverse modeling and reconstruction of visually consistent and property-verifiable oceans,taking advantage of deep learning and differentiable physics to learn geometry and constitute waves in a self-supervised ***,we infer hierarchical geometry using two networks,which are optimized via the differentiable *** extract wave components from the sequence of inferred geometry through a network equipped with a differentiable ocean ***,ocean dynamics can be evolved using the reconstructed wave *** extensive experiments,we verify that our new method yields satisfactory results for both geometry reconstruction and wave ***,the new framework has the inverse modeling potential to facilitate a host of graphics applications,such as the rapid production of physically accurate scene animation and editing guided by real ocean scenes.

关键词： inverse modeling surface reconstruction wave modeling ocean waves differentiable rendering(DR)

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Hundredfold increase of stimulated Brillouin-scattering bandwidth in whispering-gallery mode resonators

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Photonics Research 2023年第6期11卷 917-924页

作者： GUOPING LIN JINGYI TIAN TANG SUN QINGHAI SONG YANNE K.CHEMBO Ministry of Industry and Information Technology Key Laboratory of Micro-Nano Optoelectronic Information System School of ScienceHarbin Institute of TechnologyShenzhen 518055China Guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic Systems Shenzhen 518055China Department of Electrical and Computer Engineering&Institute for Research in Electronics and Applied Physics(IREAP) University of MarylandCollege ParkMaryland 20742USA

Backward stimulated Brillouin scattering(SBS)is widely exploited for various applications in optics and *** typically features a narrow gain bandwidth of a few tens of megahertz in fluoride *** we report a hundredfold increase of SBS bandwidth in whispering-gallery mode *** crystalline orientation results in a large variation of the acoustic phase velocity upon propagation along the periphery,from which a broad Brillouin gain is *** 2.5 GHz wide Brillouin gain profile is theoretically found and experimentally *** phenomena with Brillouin shift frequencies ranging from 11.73 to 14.47 GHz in ultrahigh Q Z-cut magnesium fluoride cavities pumped at the telecommunication wavelength are ***,the Brillouin-Kerr comb in this device is *** 400 comb lines spanning across a spectral window of 120 nm are *** finding paves a new way for tailoring and harnessing the Brillouin gain in crystals.

关键词： scattering pumped Brillouin

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Meta-device:advanced manufacturing

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Light(Advanced Manufacturing) 2024年第1期5卷 115-130页

作者： Borui Leng Yao Zhang Din Ping Tsai Shumin Xiao Department of Electrical Engineering City University of Hong KongHong Kong999077China Centre for Biosystems Neuroscience and NanotechnologyCity University of Hong KongHong Kong999077China The State Key Laboratory of Terahertz and Millimeter Waves City University of Hong KongHong Kong999077China Ministry of Industry and Information Technology Key Lab of Micro-Nano Optoelectronic Information System Guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic SystemsHarbin Institute of TechnologyShenzhen 518055China Pengcheng Laboratory Shenzhen 518055China

Metasurfaces are one of the most promising devices to break through the limitations of bulky optical *** offering a new method of light manipulation based on the light-matter interaction in subwavelength nanostructures,metasurfaces enable the efficient manipulation of the amplitude,phase,polarization,and frequency of light and derive a series of possibilities for important ***,one key challenge for the realization of applications for meta-devices is how to fabricate large-scale,uniform nanostructures with high *** this review,we review the state-of-the-art nanofabrication techniques compatible with the manufacture of *** lithography,masked lithography,and other nanofabrication techniques are highlighted in *** also delve into the constraints and limitations of the current fabrication methods while providing some insights on solutions to overcome these challenges for advanced nanophotonic applications.

关键词： Meta-device Metasurface Nanofabrication COMS-compatible fabrication

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Robust peer-to-peer learning via secure multi-party computation

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Journal of Information and Intelligence 2023年第4期1卷 341-351页

作者： Yongkang Luo Wenjian Luo Ruizhuo Zhang Hongwei Zhang Yuhui Shi Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies School of Computer Science and TechnologyHarbin Institute of TechnologyShenzhen 518055China Peng Cheng Laboratory Shenzhen 518055China Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation Department of Computer Science and EngineeringSouthern University of Science and TechnologyShenzhen 518055China

To solve the data island problem,federated learning(FL)provides a solution paradigm where each client sends the model parameters but not the data to a server for model ***-to-peer(P2P)federated learning further improves the robustness of the system,in which there is no server and each client communicates directly with the *** secure aggregation,secure multi-party computing(SMPC)protocols have been utilized in peer-to-peer ***,the ideal SMPC protocols could fail when some clients drop *** this paper,we propose a robust peer-to-peer learning(RP2PL)algorithm via SMPC to resist clients dropping *** improve the segmentbased SMPC protocol by adding a check and designing the generation method of random seg*** RP2PL,each client aggregates their models by the improved robust secure multi-part computation protocol when finishes the local *** results demonstrate that the RP2PL paradigm can mitigate clients dropping out with no significant degradation in performance.

关键词： Federated learning Swarm learning Secure multi-party computation Peer-to-peer learning

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A transient model integrating the nanoconfinement effect and pore structure characteristics of oil transport through nanopores

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Petroleum science 2023年第6期20卷 3461-3477页

作者： Cheng Cao Bin Chang Zhao Yang Chao Gao School of Mathematics and Computer Science Shaanxi University of TechnologyHanzhong723001ShaanxiChina State Key Laboratory of Continental Dynamics Department of GeologyNorthwest UniversityXi'an710069ShaanxiChina Shaanxi Polytechnic Institute Sch Civil EngnXianyang712000ShaanxiChina Research Institute of Shanxi Yanchang Petroleum(Group)Co.Ltd Xi'an710075ShaanxiChina

Understanding the integrated transport behavior of oil in shale nanopores is critical to efficient shale oil development. In this paper, based on the time-dependent Poiseuille flow momentum equation, we present a novel transient model to describe oil transport in unsteady and steady states. The model incorporates the effect of the critical shift density, apparent viscosity, slip length, and alkane property, as well as pore tortuosity and surface roughness. We evaluated our model through a comparison with other models, experiments, and molecular dynamics simulations. The results show that the development rates of the volume flows of C_(6)–C_(12) alkane confined in inorganic nanopores and C_(12) alkane confined in organic nanopores were faster than that of the corresponding bulk alkane. In addition, the critical drift density positively promoted the volume flow development rate in the unsteady state and negatively inhibited the mass flow rate in the steady state. This effect was clearest in pores with a smaller radius and lower-energy wall and in alkane with shorter chain lengths. Furthermore, both the nanoconfinement effect and pore structure determined whether the volume flow enhancement rate was greater than or less than 1. The rate increased or decreased with time and was controlled mainly by the nanoconfinement effect. Moreover, as the wall energy increased, the flow inhibition effect increased;as the carbon number of alkane increased, the flow promotion effect increased. The results indicate that the proposed model can accurately describe oil transport in shale nanopores.

关键词： Nanopores Transient transport Nanoconfinement effect Tortuosity Roughness Allkane properties

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Dual Ferroelectric Liquid Crystal Polarization Converter for Fast (100 kHz) and Bi-stable Beam Steering Based on Pancharatnam-Berry Devices

Dual Ferroelectric Liquid Crystal Polarization Converter for...

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The 2023 International Conference on Display technology, (ICDT 2023)

作者： Sun, Zhibo Tam, Alwin Yuan, Zhengnan Dong, Shoucheng Huo, Yipeng Chen, Rongsheng Yeung, Fion S. Y. Kwok, Hoi-Sing State Key Laboratory of Advanced Displays and Optoelectronics Technologies and Center for Display Research Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Road Kowloon Hong Kong

A high-efficiency (97%) fast polarization converter (100 kHz) is achieved using Ferroelectric Liquid Crystal (FLC). Innovatively, by cascading FLC cells, no diffraction and residual light loss are achieved. The flickering is less than 5%.. The contrast ratio is 1000:1. Bi-stable focus modulation is acheived. It is a promising candidate not just for display technologies, but also for high-efficiency beam-steering applications, such as Virtual Reality (VR)/Augmented Reality (AR), Light Ranging and Detection (LiDAR). © 2023, John Wiley and Sons Inc. All rights reserved.

关键词： Efficiency

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PIP: Perturbation-based Iterative Pruning for Large Language Models

arXiv

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arXiv 2025年

作者： Cao, Yi Xu, Wei-Jie Shen, Yucheng Shi, Weijie Chan, Chi-Min Xu, Jiajie School of Computer Science and Technology Soochow University China State Key Laboratory for Novel Software Technology Nanjing University China Department of Computer Science and Engineering The Hong Kong University of Science and Technology Hong Kong

The rapid increase in the parameter counts of Large Language Models (LLMs), reaching billions or even trillions, presents significant challenges for their practical deployment, particularly in resource-constrained environments. To ease this issue, we propose PIP (Perturbation-based Iterative Pruning), a novel double-view structured pruning method to optimize LLMs, which combines information from two different views: the unperturbed view and the perturbed view. With the calculation of gradient differences, PIP iteratively prunes those that struggle to distinguish between these two views. Our experiments show that PIP reduces the parameter count by approximately 20% while retaining over 85% of the original model’s accuracy across varied benchmarks. In some cases, the performance of the pruned model is within 5% of the unpruned version, demonstrating PIP’s ability to preserve key aspects of model effectiveness. Moreover, PIP consistently outperforms existing state-of-the-art (SOTA) structured pruning methods, establishing it as a leading technique for optimizing LLMs in environments with constrained resources. Our code is available at: https://***/caoyiiiiii/PIP. Copyright © 2025, The Authors. All rights reserved.

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Tuning Quantum Computing Privacy through Quantum Error Correction

Tuning Quantum Computing Privacy through Quantum Error Corre...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Zhong, Hui Ju, keyi Sistla, Manojna Zhang, Xinyue Li, Aohan Qin, Xiaoqi Fu, Xin Pan, Miao University of Houston Department of Electrical and Computer Engineering HoustonTX77204 United States Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing100876 China Kennesaw State University Department of Computer Science MariettaGA30060 United States The University of Electro-Communications Graduate School of Informatics and Engineering Tokyo1828585 Japan

ISBN: (纸本)9798350351255

Quantum computing is a promising paradigm for efficiently solving large and high-complexity problems. However, ensuring privacy within this quantum computing necessitates innovative approaches. Existing research has introduced the concept of quantum differential privacy (QDP) to protect data privacy in quantum computing by leveraging quantum noise. Yet, this method faces limitations due to the fixed and uncontrollable nature of the inherent noise, which directly affects the privacy budget of QDP. Addressing this critical gap, our study proposes a novel approach that utilizes quantum error correction (QEC) techniques not only to mitigate quantum computing errors but also to adjust QDP protection levels precisely. By selectively applying QEC to single or multiple qubit gates, we introduce a method to manipulate the quantum noise error rate effectively. Moreover, we derive a new formula for calculating the overall error rate in a quantum circuit and the adjusted privacy budget after QEC operation. Through extensive numerical simulations, we validate the efficacy of utilizing QEC in tuning privacy protection levels within quantum computing. © 2024 IEEE.

关键词： Quantum noise

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