Xuchao Zhang

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	Total	Desde 2020
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Chang-Tien Lu, IEEE FellowComputer Science, Virginia TechDirección de correo verificada de vt.edu
Haifeng ChenNEC Laboratories America, Inc.Dirección de correo verificada de chacuo.net
Wei ChengSenior Research Staff Member, NEC Laboratories America (Ph.D, UNC-Chapel Hill)Dirección de correo verificada de nec-labs.com
Liang ZhaoEmory UniversityDirección de correo verificada de emory.edu
Bo ZongSalesforce.comDirección de correo verificada de salesforce.com
Feng ChenDepartment of Computer Science, UT DallasDirección de correo verificada de utdallas.edu
Naren RamakrishnanThomas L. Phillips Professor, Virginia TechDirección de correo verificada de cs.vt.edu
Nitesh V Chawla, Fellow: ACM, IEEE,...Frank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre DameDirección de correo verificada de nd.edu
Jessica LinGeorge Mason UniversityDirección de correo verificada de gmu.edu
Yifeng GaoAssistant Professor, University of Texas Rio Grande ValleyDirección de correo verificada de utrgv.edu
Chao HuangAssistant Professor of Computer Science, University of Hong KongDirección de correo verificada de hku.hk
Chuxu ZhangAssociate Professor of CSE, University of Connecticut (UConn)Dirección de correo verificada de uconn.edu
Sujay Kumar JauharPrincipal Researcher, Microsoft ResearchDirección de correo verificada de microsoft.com
Jing (David) DaiGoogle Inc.Dirección de correo verificada de google.com
Rongjie LaiProfessor of Mathematics, Purdue UniversityDirección de correo verificada de purdue.edu
Jianwu XuDirección de correo verificada de alumni.ufl.edu
Ding LiPeking UniversityDirección de correo verificada de pku.edu.cn
Suwen LINResearch Scientist, Facebook Inc.Dirección de correo verificada de fb.com
Ting HuaSamsung Research AmericaDirección de correo verificada de vt.edu
Zitong ShengDeakin UniversityDirección de correo verificada de deakin.edu.au

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Xuchao Zhang

Principal Researcher @ Microsoft

Dirección de correo verificada de microsoft.com - Página principal

NLP Data Mining Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Tapnet: Multivariate time series classification with attentional prototypical network X Zhang, Y Gao, J Lin, CT Lu Proceedings of the AAAI conference on artificial intelligence 34 (04), 6845-6852, 2020	329	2020
Domain specialization as the key to make large language models disruptive: A comprehensive survey C Ling, X Zhao, J Lu, C Deng, C Zheng, J Wang, T Chowdhury, Y Li, ... arXiv preprint arXiv:2305.18703, 2023	105	2023
Online purchase prediction via multi-scale modeling of behavior dynamics C Huang, X Wu, X Zhang, C Zhang, J Zhao, D Yin, NV Chawla Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019	102	2019
Recommending root-cause and mitigation steps for cloud incidents using large language models T Ahmed, S Ghosh, C Bansal, T Zimmermann, X Zhang, S Rajmohan 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023	99	2023
Automatic root cause analysis via large language models for cloud incidents Y Chen, H Xie, M Ma, Y Kang, X Gao, L Shi, Y Cao, X Gao, H Fan, M Wen, ... Proceedings of the Nineteenth European Conference on Computer Systems, 674-688, 2024	59	2024
Time series contrastive learning with information-aware augmentations D Luo, W Cheng, Y Wang, D Xu, J Ni, W Yu, X Zhang, Y Liu, Y Chen, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4534-4542, 2023	56	2023
Dynamic gaussian mixture based deep generative model for robust forecasting on sparse multivariate time series Y Wu, J Ni, W Cheng, B Zong, D Song, Z Chen, Y Liu, X Zhang, H Chen, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 651-659, 2021	54	2021
Beyond one-model-fits-all: A survey of domain specialization for large language models C Ling, X Zhao, J Lu, C Deng, C Zheng, J Wang, T Chowdhury, Y Li, ... arXiv preprint arXiv:2305.18703 1, 2023	48	2023
Mitigating uncertainty in document classification X Zhang, F Chen, CT Lu, N Ramakrishnan arXiv preprint arXiv:1907.07590, 2019	47	2019
Towards more accurate uncertainty estimation in text classification J He, X Zhang, S Lei, Z Chen, F Chen, A Alhamadani, B Xiao, CT Lu Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020	41	2020
Temporal context-aware representation learning for question routing X Zhang, W Cheng, B Zong, Y Chen, J Xu, D Li, H Chen Proceedings of the 13th international conference on web search and data …, 2020	40	2020
Cross-domain few-shot semantic segmentation S Lei, X Zhang, J He, F Chen, B Du, CT Lu European Conference on Computer Vision, 73-90, 2022	36	2022
Cat: Beyond efficient transformer for content-aware anomaly detection in event sequences S Zhang, Y Liu, X Zhang, W Cheng, H Chen, H Xiong Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022	34	2022
DNAX-activating protein 10 co-stimulation enhances the anti-tumor efficacy of chimeric antigen receptor T cells R Zhao, L Cheng, Z Jiang, X Wei, B Li, Q Wu, S Wang, S Lin, Y Long, ... Oncoimmunology 8 (1), e1509173, 2019	34	2019
Exploring llm-based agents for root cause analysis D Roy, X Zhang, R Bhave, C Bansal, P Las-Casas, R Fonseca, ... Companion Proceedings of the 32nd ACM International Conference on the …, 2024	27	2024
Empowering practical root cause analysis by large language models for cloud incidents Y Chen, H Xie, M Ma, Y Kang, X Gao, L Shi, Y Cao, X Gao, H Fan, M Wen, ... arXiv preprint arXiv:2305.15778, 2023	24	2023
Spatiotemporal event forecasting from incomplete hyper-local price data X Zhang, L Zhao, AP Boedihardjo, CT Lu, N Ramakrishnan Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017	24	2017
Automated root causing of cloud incidents using in-context learning with GPT-4 X Zhang, S Ghosh, C Bansal, R Wang, M Ma, Y Kang, S Rajmohan Companion Proceedings of the 32nd ACM International Conference on the …, 2024	21	2024
Self-paced robust learning for leveraging clean labels in noisy data X Zhang, X Wu, F Chen, L Zhao, CT Lu Proceedings of the AAAI conference on artificial intelligence 34 (04), 6853-6860, 2020	21	2020
Multimodal Storytelling via Generative Adversarial Imitation Learning Z Chen, X Zhang, AP Boedihardjo, J Dai, CT Lu Proceeding of the 26th International Joint Conference on Artificial …, 2017	20	2017

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