Guixiang ma. of Illinois at Chicago psyu@uic.

Guixiang ma cn College of Information and Computer,Taiyuan University of Technology,Yuci District, Jinzhong, 030600, Shanxi, China Intel Labs, Hillsboro, Oregon, 97229,USA College of Science and Technology, Ning bo University,Cixi, Ningbo, 315300, Zhejiang, China Set Of Experimental Results,Analysis Of Problems,Attribute Values,Business Services,Centrality Scores,Cluster Validity,Clustering Results,Damping Factor,Gibbs Sampling,Human Supervision,Individual Reviews,Kinds Of Texts,Latent Aspects,Latent Dirichlet Allocation,Markov Chain,Mean Average Precision Electronic address: guixiang. Ahmed1 Shahin Nazarian 2Paul Bogdan ABSTRACT The rapid demand for memory and computational resources by the emerging complex applications requires multi-core parallel systems capable to scale the execution of these applications. . Guixiang XU, Professor | Cited by 1,104 | of Beijing Normal University, Beijing (bnu) | Read 62 publications | Contact Guixiang XU Guixiang Ma is a research scientist in the Brain-Inspired Computing Lab at Intel Labs. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO). com Abstract Image-based survival prediction models can facilitate doctors in diagnosing and treating cancer patients. edu Alex Leow MDPhD University of Illinois Verified email at uic. 1109/ICDM. edu and Sihong Xie Lehigh University xiesihong1@gmail. Ahmed Theodore L. Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Most existing researches measure the likelihood of links by different similarity scores on node pairs and predict links between nodes. As conjectured from the classical case, a desired noncommutative ``stopping time" argument was discovered to obtain the distribution function inequality form of John-Nirenberg theorem. DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks. Kalamkar Yingtong Dou, Guixiang Ma, Philip S. Ahmed (Submitted on 22 Sep 2022 ( v1 ), last revised 14 Jul 2023 (this version, v2)) Abstract: We provide a comprehensive review of the existing literature on memory-augmented GNNs. ARTICLE End-to-end programmable computing systems Yao Xiao 1, Guixiang Ma2 , Nesreen K. Guixiang Ma∗ Intel Labs guixiang. Research Publications. Guixiang has many family members and associates who include Xiroibma Campos, Emma Lovely, Sabrina Weldon, Xiroibma Campos See Free Details & Reputation Profile for Guixiang Yang (61) in Wrentham, MA. {shenyifan, innerone, zongyichen, zhangx}@bupt. / Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks. Data Recovery It appears you may have used Coursicle on this device and then cleared your cookies. Chao Chen, Chenghua Guo, Rufeng Chen, Guixiang Ma, Ming Zeng, Xiangwen Liao, Xi Zhang, Sihong Xie. As con-jectured from the classical case, a desired noncommutative “stopping time” argument was discovered to obtain the distribution function inequality form Oct 25, 2022 · Link prediction tasks focus on predicting possible future connections. Research Scientist, Intel Labs G Ma, NK Ahmed, TL Willke, D Sengupta, MW Cole, NB Turk-Browne, Proceedings of the 28th ACM international Oct 15, 2020 · Guixiang Ma∗ Intel Labs guixiang. edu 1 Intel Labs, Intel Corporation, Hillsboro, OR 97124, USA 2 Intel Labs, Intel Corporation, Santa Clara, CA 95054, USA 3 Department of Computer Science, University of Illinois at Chicago, Chicago, IL Oct 25, 2022 · 25 Oct 2022 · Zehua Zhang, Shilin Sun, Guixiang Ma, Caiming Zhong · Edit social preview Link prediction tasks focus on predicting possible future connections. Guixiang Ma 1Yao Xiao2 Theodore L. Jan 25, 2022 · In this paper, we continue the study of John-Nirenberg theorems for BMO/Lipschitz spaces in the noncommutative martingale setting. ahmed@intel. In this paper, we study the John-Nirenberg theorems for the Lip-schitz spaces and the atomic decomposition for Hardy spaces in the noncom-mutative martingale setting. Jun 10, 2020 · 10 Jun 2020 · Yingtong Dou, Guixiang Ma, Philip S. 6 Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. DOI: 10. Cui The influence and prediction of SST predictors at different timescales on summer precipitation over the eastern part of Northwest China Arid Zone Res. 9%=216/1279) ICDM 2019 Scalable Explanation of View the profiles of professionals named "Guixiang Ma" on LinkedIn. There are 30+ professionals named "Guixiang Ma", who use LinkedIn to exchange information, ideas, and opportunities. Ahmed 3, Mihai Capotă 2, Theodore L. of Illinois at Chicago ydou5@uic. She is currently an AI Research Scientist at Intel Labs. Willke, Paul Bogdan 38th Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver Convention Center, Canada December 10-15 2024 Haoteng Tang, Guixiang Ma, Yurong Chen, Lei Guo, Wei Wang, Bo Zeng, Liang Zhan Abstract—Recent years have witnessed the emergence and development of graph neural networks (GNNs), which have been shown as a powerful approach for graph representation learning in many tasks, such as node classification and graph classification. Ahmed nesreen. Highlights Major traditional and deep learning methods on brain network representation are overviewed. cn, {djy0823lucky, 15732027828, qfzhengpku}@163. Existing relevant works rely on the $\ell_p$ distance for stability assessment, which diverges from human perception. Yu and Ann B. 3403135 Corpus ID: 219792187; Robust Spammer Detection by Nash Reinforcement Learning @article{Dou2020RobustSD, title={Robust Spammer Detection by Nash Reinforcement Learning}, author={Yingtong Dou and Guixiang Ma and Philip S. of Illinois at Chicago psyu@uic. التخطي إلى المحتوى الرئيسي LinkedIn Guixiang Ma, Mihai Capotă, Shahin Nazarian, Theodore L. 405(2024), no. -- · الموقع: الرياض. Jun 10, 2020 · Online reviews provide product evaluations for customers to make decisions. Yu Abstract In many domains where data are represented as graphs, learning a similarity metric among graphs is considered a key problem, which can further facilitate various learning tasks, such as classi cation, clustering, and simi-larity search. In The International Conference for High Publication Topics F1 Score,Graph Convolutional Network,Graph Neural Networks,Neural Network,Nodes In The Graph,Representation Learning,Siamese Network,Abstract Syntax Tree,Adversarial Examples,Aggregation Function,Aggregation Operators,Agnostic,Amount Of Work,Analysis Tasks,Artificial Neural Network,Autoregressive Model,Auxiliary Function,Average Degree,Bandwidth Requirements,Benchmark Authors: Vasimuddin Md, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj Kalamkar, Nesreen K. Spamming strategies are hard to capture, as they can be varying quickly along time, different across Guixiang Ma is a research scientist in the Brain-Inspired Computing Lab at Intel Labs. 2019. Aug 20, 2020 · Liu X Fan X Ma R Chen K Li Y Wang G Xu W Serra E Spezzano F (2024) Collaborative Fraud Detection on Large Scale Graph Using Secure Multi-Party Computation Proceedings of the 33rd ACM International Conference on Information and Knowledge Management 10. 127, Youyi West Road, Xi'an, 710071, Shaanxi, China; Electrical and Computer Engineering, University of Pittsburgh, 3700 O'Hara Street Jun 10, 2020 · A minimax game where the spammers and spam detectors compete with each other on their practical goals that are not solely based on detection accuracy, and turns the game into two dependent Markov Decision Processes (MDPs) to allow efficient stochastic optimization based on multi-armed bandit and policy gradient. com Guixiang Ma guixiang. 48 h post-transfection, cells are harvested and subjected to experiments. Springer, 476--492. 8 mol% HA melted at the temperature of 331. com Caiming Zhong zhongcaiming@nbu. 3480856 Corpus ID: 233231208; DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks @article{Vasimuddin2021DistGNNSD, title={DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks}, author={Vasimuddin and Sanchit Misra and Guixiang Ma and Ramanarayan Mohanty and Evangelos Georganas and Alexander Heinecke and Dhiraj D. Aug 1, 2023 · Guixiang Ma received the PhD degree in Computer Science from University of Illinois at Chicago in 2019. Ahmed, Shahin Nazarian, Paul Bogdan: A Distributed Graph-Theoretic Framework for Automatic Parallelization in Multi-core Systems. Yu Univ. Cite. Dec 9, 2024 · Abstract. com Nesreen K. … ‪University of Science and Technology of China‬ - ‪‪引用次数：3,631 次‬‬ - ‪Nanoscience‬ - ‪Catalysis‬ Jul 19, 2020 · Guixiang Ma, Nesreen K. cn Shilin Sun shilin˙sun01@163. By adapting Cuculescu’s construction for the in-creasing adapted sequences, we obtain a distribution function inequality form List of papers published by Guixiang Ma in the field of Thermal energy storage, Chemistry, Phase-change material, Eutectic system, Inorganic chemistry, Latent heat, Thermal stability, Computer science, Chemical engineering, Differential scanning calorimetry, Acemap Guixiang Hong; Tao Ma; In this paper, we establish $\mathcal B$-valued variational inequalities for differential operators, ergodic averages and symmetric diffusion semigroups under the condition Feb 21, 2023 · The COVID-19 pandemic has extremely threatened human health, and automated algorithms are needed to segment infected regions in the lung using computed tomography (CT). 1 December 2023; 9. Zhang, Y. Sep 22, 2022 · Authors: Guixiang Ma, Vy A. Conceptually, sparsely activated memory layers complement compute-heavy dense feed-forward layers, providing dedicated capacity to store and retrieve information cheaply. Yu and Sihong Xie}, journal={Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining}, year={2020}, url Share your videos with friends, family, and the world Guixiang Ma Yong Xia The COVID-19 pandemic has extremely threatened human health, and automated algorithms are needed to segment infected regions in the lung using computed tomography (CT). CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management. Abstract. To foster trust in machine learning models, explanations must be faithful and stable for consistent insights. In ECML PKDD. Facebook gives people the power to ORCID record for Guixiang Ma. 03809 ( 2021 ) Guixiang Ma is on Facebook. Black phosphorus (BP), as a unique 2D member with narrow bandgap, high mobility, and strong anisotropy, has never been combined with 2D layered perovskites. May 23, 2023 · Guixiang Hong, Congbian Ma, and Yu Wang Abstract. Joined ; October 2020. • We represent the link from two perspectives: subgraph and line graph node to overcome the limitations of node similarity measurement as-sumption. Willke, & Nesreen K. Willke, Nesreen K. Yu psyu@uic. MASSACHUSETTS DOMESTIC PROFIT CORPORATION: WRITE REVIEW: Address: 828 Mass Ave Arlington, MA 02476: Registered Agent: Guixiang Liu: Filed: July 16, 2008: File Number: 000982265: View People Named Guixiang Liu in Massachusetts: Contact Us About The Company Profile For Body Tune, Inc. In this paper, we propose a Guixiang!Ma 05/07/2016! Authors:!GuixiangMa*,LifangHe†,!Chun Ta!Lu*,!Philip!S. com ABSTRACT Online reviews provide product evaluations for customers to make decisions. Vo, Theodore Willke, Nesreen K. In this paper, we present DistGNN that optimizes the well-known Jun 10, 2020 · DOI: 10. MLSys 2021 Guixiang Ma Research Scientist, Intel. 3357815) We propose an end-to-end graph similarity learning framework called Higher-order Siamese GCN for multi-subject fMRI data analysis. Guixiang Hong (with Ma, Congbian; Wang, Yu)，John-Nirenberg inequalities for noncommutative column BMO and Lipschitz martingales， Comm. Aug 1, 2023 · Highlights •We design a novel contrastive learning framework based on line graph to be suitable for link prediction on sparse and dense graphs. com Authors. Optimal Policy Mechanism Design for Cross-Sector and Multi-Stage Pollution Control with a Bilevel Model: Application to SO2 Emission in China, with Xu Li, Zimeng Liu, Qing Xu, and Zhongyi Jiang, 2017, Environmental Modeling & Assessment 22, 243-255. Yang, Y. com, Philip S. edu, Guixiang Ma ∗ Intel Labs guixiang. ac. in Computer Science from Beijing Jiaotong KDD ’23, August 6–10, 2023, Long Beach, CA, USA Guixiang Ma, Vy A. Intel Labs, Hillsboro, OR, 97124, USA, Shaojie Zheng. Ma, D. willke@intel. Willke, Dipanjan Sengupta, Michael W. 3, Paper No. However, the similarity-based approaches have some challenges in information loss on nodes and generalization ability on similarity indexes. With the advance of digital pathology technologies, the big Sep 12, 2017 · DOI: 10. D. However, under conservation tillage conditions, the effects of multitrophic interactions on soil microbial CUE are still unclear. Facebook gives people the power to share and makes the world more open and connected. 2021. Join Facebook to connect with Guixiang Ma and others you may know. Yu, and Sihong Xie [promotion video] [workshop video] (acceptance rate 16. We then Sep 22, 2022 · Authors: Guixiang Ma, Vy A. Vo, Theodore L. Ahmed, and Sasikanth Avancha (Intel Corporation) Abstract: Full-batch training on Graph Neural Networks (GNN) to learn the structure of large graphs is a critical problem that needs to scale to hundreds Guixiang Ma at the University of Illinois at Chicago (UIC) in Chicago, Illinois teaches CS 109 - Progfor Engineersw/ Mat Lab. Ahmed memory augmentation specifically improves performance for far apart nodes. Electronic address: djy0823lucky@163. Although several deep convolutional neural networks (DCNNs) have proposed for this Guixiang Ma is on Facebook. Mar 10, 2024 · Microbial carbon (C) use efficiency (CUE) plays a key role in soil C storage. Zehua Zhang, Shilin Sun, Guixiang Ma, Caiming Zhong • We propose a novel subgraph-line graph node contrastive paradigm for link prediction. Brain network datasets and algorithm implementation tools are summarized. She focuses on new brain-inspired representation learning methods for various domains, in particular for graphs. cn College of Information and Computer,Taiyuan University of Technology,Yuci District, Jinzhong, 030600, Shanxi, China Intel Labs, Hillsboro, Oregon, 97229,USA College of Science and Technology, Ning bo University,Cixi, Ningbo, 315300, Zhejiang, China Guixiang Ma. com, yanglin@cicams. An empty pcDNA3 vector is utilized as a control. Includes free contact info & photos & court records. Application Layer,Business,Drug Administration,Early Warning,Food And Drug Administration,Industry Associations,Information Resources,Misleading Advertising,Mode Of Haozhe Jia, Haoteng Tang, Guixiang Ma, Tom Weidong Cai, Heng Huang, Liang Zhan, Yong Xia: PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images. Di Wu, Zhiwang Yu, Nan Ma, Jianan Jiang, Yuetian Wang, Guixiang Zhou, Hanhui Deng, Yi Li: StyleMe: Towards Intelligent Fashion Generation with Designer Style. com Philip S. Liu, Haifeng, Ma, Guixiang, Ma, Naifeng, Zheng, Zunqing, Huang, Haozhong, Yao, Mingfa (2018) Effects of charge concentration and reactivity stratification on combustion and emission characteristics of a PFI-DI dual injection engine under low load condition. 66, 28 pp. Promising research directions in brain network analysis are discussed. cn, guixiang. Zehua Zhang zhangzehua@tyut. et al. Yu, Sihong Xie · Edit social preview Online reviews provide product evaluations for customers to make decisions. 2016. Publisher (opens in a new tab) Save. Guixiang Ma is on Facebook. Ahmed View a PDF of the paper titled Memory-Augmented Graph Neural Networks: A Brain-Inspired Review, by Guixiang Ma and 3 other authors View PDF View the profiles of people named Guixiang Ma. 15 K with a latent heat of 176. Despite Flow Matching and diffusion models having emerged as powerful generative paradigms for continuous variables such as images and videos, their application to high-dimensional discrete data, such as language, is still limited. 04414 (2020). We then Guixiang Ma is a research scientist in the Brain-Inspired Computing Lab at Intel Labs. Feb 29, 2024 · Xiong, Zhuangzhuang and Zhang, Wenhui and Hong, Wang and Zhang, JiaQi and Wu, Ruizhi and Fuqiu, Ma and Wang, Guixiang, Dual-Metal-Based (Mo, Ni) Mofs Nanoplates for Enhanced Corrosion Resistance and Frictional Resistance of Epoxy Resin on Magnesium Alloy Surfaces. In this paper, we continue the study of John-Nirenberg theorems for BMO/Lipschitz spaces in the noncommutative martingale setting. 1145/3627673. 1145/3394486. full-batch training on the Reddit dataset [14] (this is 3. Second, we propose our general Cache-GNN model by adding additional modules to improve expressivity. The predation of protists on bacteria and fungi has potential impacts on the global C cycle. Ahmed, Theodore L. in Computer Science from University of Illinois at Chicago and her M. Turk-Browne, and Philip S. Alert. The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, Yanshan University, Qinhuangdao, 066004, China, Shuying Du The stearic acid (SA) – hexanamide (HA) binary mixtures were prepared, and the phase diagram and Tammann plot were constructed. 3679863 (1473-1482) Online publication date: 21-Oct-2024 Nov 3, 2019 · Guixiang Ma, Lifang He, Bokai Cao, Jiawei Zhang, S Yu Philip, and Ann B Ragin. CHI 2023: 23:1-23:16 About Nov 3, 2019 · Guixiang Ma, Lifang He, Bokai Cao, Jiawei Zhang, S Yu Philip, and Ann B Ragin. Guixiang Ma Research Scientist, Intel Labs 在 intel. Sa faia e le Ofisa o Faamatalaga a le Fono a le Setete o Saina a faʻasalalauga i le taeao o le aso 28 Iuni 2018, valaaulia ai le Faamasino Liu Guixiang (刘贵祥) (Supreme People's Court (SPC) komiti fa'amasino tumau) ma le Faamasino Zhang Yongjian (张勇健) (Faatonu o le Vaega lona 4 a le SPC) e faailoa atu le tulaga o iai nei a Saina International Commercial Court (CICC). 1145/3458817. A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems. Cole, Nicholas B. Willke ted. Guixiang Ma, Yao Xiao, Theodore Willke, Nesreen Ahmed, Shahin Nazarian, Paul Bogdan. arXiv preprint arXiv:2010. com Theodore L. in Computer Science from Beijing Jiaotong ‪Research Scientist, Intel Labs‬ - ‪‪Cited by 1,009‬‬ - ‪Machine Learning‬ - ‪Geometric Deep Learning‬ - ‪ML for Systems‬ - ‪Generative AI‬ - ‪LLMs‬ Senior AI Research Scientist | Senior ML Applied Scientist | Senior ML Engineer · Experience: Northwestern University - The Feinberg School of Medicine · Education: University of Illinois at Guixiang MA, Research Scientist | Cited by 437 | of Intel, California | Read 37 publications | Contact Guixiang MA Guixiang Ma is a research scientist in the Brain-Inspired Computing Lab at Intel Labs. 2 mol% SA and 53. 2020. Phys. 1× faster than what is reported in [4]) and 1. Willke Philip S. Guixiang Ma is a research scientist in the Brain-Inspired Computing Lab at Intel Labs. ma@intel. Yu. Names. Psychology. The rapid demand for memory and computational resources by the emerging complex applications requires multi-core parallel systems capable to scale the execution of these applications. edu 的电子邮件经过验证 Zehua Zhang zhangzehua@tyut. Online reviews provide product evaluations for customers to make decisions @inproceedings{wu2023styleme, title={StyleMe: Towards Intelligent Fashion Generation with Designer Style}, author={Wu, Di and Yu, Zhiwang and Ma, Nan and Jiang, Jianan and Wang, Yuetian and Zhou, Guixiang and Deng, Hanhui and Li, Yi}, booktitle={Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems}, pages={1--16}, year={2023} } Vasimuddin Md, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evan-gelos Georganas, Alexander Heinecke, Dhiraj Kalamkar, Nesreen K. 62 J·g⁻¹. E. Willke Nesreen K. in Computer Science from Beijing Jiaotong @inproceedings {dou2020robust, title = {Robust Spammer Detection by Nash Reinforcement Learning}, author = {Dou, Yingtong and Ma, Guixiang and Yu, Philip S and Xie, Sihong}, booktitle = {Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining}, year = {2020}} May 23, 2020 · Authors: Haoteng Tang, Guixiang Ma, Yurong Chen, Lei Guo, Wei Wang, Bo Zeng, Liang Zhan View a PDF of the paper titled Adversarial Attack on Hierarchical Graph Pooling Neural Networks, by Haoteng Tang and 6 other authors Guixiang Hong, Congbian Ma, and Yu Wang Abstract. editor / Chaitanya Baru ; Jun Huan ; Latifur Khan ; Xiaohua Tony Hu ; Ronay Ak ; Yuanyuan Tian ; Roger Barga ; Carlo Zaniolo ; Kisung Lee ; Yanfang Fanny Ye. Dec 12, 2024 · Abstract. Ragin¶! *UIC!,USA!!†SZU,China!‡THU,China!¶NWU,USA! May 23, 2020 · This paper proposes an adversarial attack framework for the vulnerability of the Hierarchical Graph Pooling (HGP) Neural Networks, which are advanced GNNs that perform very well in the graph classification in terms of prediction accuracy and designs a surrogate model that consists of convolutional and pooling operators to generate adversarial samples to fool the hierarchical GNN-based graph View Guixiang Ma's profile, machine learning models, research papers, and code. com Olusola (Olu) Ajilore Professor, Department of Psychiatry, College of Medicine, University of Illinois Verified email at uic. Ma, Guixiang ; Sengupta, Dipanjan ; Ahmed, Nesreen K. Unfortunately, the evaluations can be manipulated using fake reviews ("spams") by professional spammers, who have learned increasingly insidious and powerful spamming strategies by adapting to the deployed detectors. com 的电子邮件经过验证 Olusola (Olu) Ajilore Professor, Department of Psychiatry, College of Medicine, University of Illinois 在 uic. k. Dec 10, 2024 · Abstract. Wang, J. , 40 ( 4 ) ( 2023 ) , pp. Excited to share that our work on programmable graph representation learning (PGL) for high-performance heterogeneous computing has been published in Nature Communications Engineering! Thanks to Read Guixiang Ma's latest research, browse their coauthor's research, and play around with their algorithms Nov 2, 2018 · View a PDF of the paper titled Similarity Learning with Higher-Order Graph Convolutions for Brain Network Analysis, by Guixiang Ma and 6 other authors View PDF Abstract: Learning a similarity metric has gained much attention recently, where the goal is to learn a function that maps input patterns to a target space while preserving the semantic Aug 1, 2023 · Guixiang Ma received the PhD degree in Computer Science from University of Illinois at Chicago in 2019. Jun 4, 2022 · Heterogeneous stackings of two-dimensional (2D) semiconductors and halide perovskites have attracted much attention owing to their respective superior optoelectronic properties. Ragin}, journal={2017 IEEE International Conference on Data Mining (ICDM)}, year={2017 Yingtong Dou Univ. in Computer Science from Beijing Jiaotong Guixiang Ma, Yao Xiao, Theodore L. The differential scanning calorimetry results indicated that a eutectic composition formed by 46. 2017. Apr 7, 2021 · Guixiang Ma has filed for patents to protect the following inventions. Math. The proposed framework learns the brain network representations via a supervised metric-based approach with siamese neural networks using two graph convolutional networks as the twin networks. Guixiang Ma Research Scientist, Intel Labs Verified email at intel. Guixiang received her Ph. Unfortunately, the evaluations can be manipulated us-ing fake reviews (“spams”) by professional spammers Haoteng Tang 1 , Guixiang Ma 2 , Lifang He 3 , Heng Huang 4 , Liang Zhan 5 Affiliations 1 Department of Electrical and Computer Engineering, University of Pittsburgh, 3700 O'Hara St, Pittsburgh, PA, 15260, USA. Unfortunately, the evaluations can be manipulated using fake reviews ("spams") by professional spammers, who have learned increasingly insidious and powerful spamming strategies by Ma, Guixiang ; Sengupta, Dipanjan ; Ahmed, Nesreen K. School of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004, China. •We propose a cross-scale contrastive learning strateg عرض ملف ma Guixiang الشخصي على LinkedIn، وهو مجتمع احترافي يضم مليار عضو. In The 28th ACM In-ternational Conference on Information and Knowledge Management (CIKM ’19), November 3–7, 2019, Beijing, China. Ahmed, Sasikanth Avancha. ORCID provides an identifier for individuals to use with their name as they engage in research, scholarship, and innovation activities. CoRR abs/2108. Multi-graph clustering based on interior-node topology with applications to brain networks. Willke2, Shahin Nazarian1 & Paul Bogdan 1 Recent technological B Guixiang Ma guixiang. / Deep graph similarity learning for brain data analysis. This not only provides another approach without using duality and interpolation Dec 1, 2024 · W. Yu*‡,Linlin!Shen†,!AnnB. edu. Liu, Jiahao ; Ma, Guixiang ; Jiang, Fei et al. 95×speedup on OGB-Products dataset [16]. View Guixiang Yang’s profile on LinkedIn, a professional community of 1 billion members. GUIXIANG LIU (PRESIDENT) BODY TUNE, INC. 123 Corpus ID: 4786094; Multi-view Graph Embedding with Hub Detection for Brain Network Analysis @article{Ma2017MultiviewGE, title={Multi-view Graph Embedding with Hub Detection for Brain Network Analysis}, author={Guixiang Ma and Chun-Ta Lu and Lifang He and Philip S. See more researchers and engineers like Guixiang Ma. Unfortunately, the evaluations can be manipulated us-ing fake reviews (“spams”) by professional spammers Guixiang Ma Nesreen K. Guixiang Ma (Preferred) Suggest Name; Emails ****@intel. To address the above issues, we propose a Line Nov 25, 2023 · Xiong, Zhuangzhuang and Qi, Ziheng and Zhang, Wenhui and Mingbo, Ji and Fuqiu, Ma and Lixia, Ying and Wang, Guixiang, Enhancing Frictional and Corrosion Resistance Performance in Aluminum Alloy Through in Situ Growth of Niznal-Ldh Membrane and its Modification. •We propose a cross-scale contrastive learning strateg Guixiang Ma, Yao Xiao, Theodore L Willke, Nesreen K Ahmed, Shahin Nazarian, and Paul Bogdan. 03809 ( 2021 ) Haozhe Jia, Haoteng Tang, Guixiang Ma, Tom Weidong Cai, Heng Huang, Liang Zhan, Yong Xia: PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images. 1145/3357384. 532 - 542 Apr 14, 2021 · Full-batch training on Graph Neural Networks (GNN) to learn the structure of large graphs is a critical problem that needs to scale to hundreds of compute nodes to be feasible. edu Sihong Xie Lehigh University xiesihong1@gmail. Meta-Radiology. edu (DOI: 10. Jul 6, 2022 · The cDNA encoding PTX3 or TNFAIP6 is PCR-amplified using Q5 High-Fidelity DNA Polymerase (New England Biolabs, Ipswich, MA) and inserted into the pcDNA3 vector (Invitrogen), named OE-PTX3 or OE-TNFAIP6, respectively. com (Confirmed) Suggest Email; Personal Guixiang Ma. Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019. Deep Graph Similarity Learning for Brain Data Analysis. Mar 24, 2021 · In Ma et al. Abstract Recent years have shown great merits in utilizing neuroimaging data to understand brain structural and functional changes, as well as its Guixiang's current home is located at Dedham, MA. com. Herein, we construct a new BP-based van der Waals Thrilled to be presenting our recent work at NeurIPS this week! Come check out our posters: 👉 Wed (12/11): Training for Stable Explanation for Free… Poster Training for Stable Explanation for Free Chao Chen · Chenghua Guo · Rufeng Chen · Guixiang Ma · Ming Zeng · Xiangwen Liao · Xi Zhang · Sihong Xie Experience: Metalor Technologies SA · Location: Attleboro · 36 connections on LinkedIn. 12. Guixiang Hong (with Liu,Wei;Xu,Bang)，Quantitative mean ergodic inequalities:power bounded operators acting on one single noncommutative Lp space， J Haozhe Jia 1 , Haoteng Tang 2 , Guixiang Ma 3 , Weidong Cai 4 , Heng Huang 5 , Liang Zhan 6 , Yong Xia 7 Affiliations 1 School of Computer Science and Engineering, Northwestern Polytechnical University, No. (2019), a higher-order GNN model is developed to encode the community-structure of brain networks during the representation learning and lever- age it for the similarity learning task Dec 1, 2023 · Haoteng Tang Guixiang Ma +10 authors Liang Zhan. Flow Matching (FM) is a recent framework for generative modeling that has achieved state-of-the-art performance across various domains, including image, video, audio, speech, and biological structures. It is challenging due to large memory capacity and bandwidth requirements on a single compute node and high communication volumes across multiple nodes. lwajoh wfdqoq ltzjf perw hawn nkue owdapwam ejblv dju ytfuwws evm rrwj nkquu nuc gjeqn