Yaqing Wang 个人学术档案 - 学术资源搜索

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Jing GaoAssociate Professor, Elmore Family School of Electrical and Computer Engineering, Purdue University在 purdue.edu 的电子邮件经过验证
Fenglong MaAssistant Professor at Pennsylvania State University在 psu.edu 的电子邮件经过验证
Ye YuanJD Intelligent Cities Research, JD Technology在 jd.com 的电子邮件经过验证
Lu SuAssociate Professor, Purdue University在 purdue.edu 的电子邮件经过验证
Guangxu XunApple在 virginia.edu 的电子邮件经过验证
Kishlay JhaUniversity of Iowa在 uiowa.edu 的电子邮件经过验证
Aidong Zhang, Fellow of ACM, IEEE, a...Thomas M. Linville Professor of Computer Science, University of Virginia在 virginia.edu 的电子邮件经过验证
Subhabrata MukherjeeChief Scientist, Hippocratic AI在 hippocraticai.com 的电子邮件经过验证
Ahmed Hassan AwadallahMicrosoft Research在 microsoft.com 的电子邮件经过验证
Haoyu WangPurdue University在 purdue.edu 的电子邮件经过验证
Xiaodong LiuMicrosoft Research, Redmond在 microsoft.com 的电子邮件经过验证
Jianfeng GaoMicrosoft Research, Redmond在 microsoft.com 的电子邮件经过验证
Xin Luna DongACM / IEEE Fellow, Principal Scientist at Meta在 fb.com 的电子邮件经过验证
Chao ZhangAssistant Professor at College of Computing, Georgia Tech在 gatech.edu 的电子邮件经过验证
Christos FaloutsosCMU在 cs.cmu.edu 的电子邮件经过验证
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts Amherst在 cs.umass.edu 的电子邮件经过验证
Jiawei HanAbel Bliss Professor of Computer Science, University of Illinois在 cs.uiuc.edu 的电子邮件经过验证
Michael BenderskyGoogle DeepMind在 google.com 的电子邮件经过验证
Qiaozhu MeiProfessor, University of Michigan在 umich.edu 的电子邮件经过验证
Jialin WuGoogle DeepMind在 google.com 的电子邮件经过验证

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Yaqing Wang

Research Scientist, Google Deepmind

在 google.com 的电子邮件经过验证 - 首页

Data-centric AI NLP Machine Learning LLM


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Eann: Event adversarial neural networks for multi-modal fake news detection Y Wang, F Ma, Z Jin, Y Yuan, G Xun, K Jha, L Su, J Gao KDD 2018, 2018	975	2018
Towards environment independent device free human activity recognition W Jiang, C Miao, F Ma, S Yao, Y Wang, Y Yuan, H Xue, C Song, X Ma, ... Proceedings of the 24th annual international conference on mobile computing …, 2018	470	2018
Weak supervision for fake news detection via reinforcement learning Y Wang, W Yang, F Ma, J Xu, B Zhong, Q Deng, J Gao AAAI 2020, 2020	157	2020
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning Y Wang, S Agarwal, S Mukherjee, X Liu, J Gao, AH Awadallah, J Gao EMNLP 2022, 2022	107*	2022
Meta Self-training for few-shot neural sequence labeling Y Wang, S Mukherjee, H Chu, Y Tu, M Wu, J Gao, AH Awadallah KDD 2021, 2021	107	2021
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types XL Dong, X He, A Kan, X Li, Y Liang, J Ma, YE Xu, C Zhang, T Zhao, ... KDD 2020, 2020	82	2020
Muvan: A multi-view attention network for multivariate temporal data Y Yuan, G Xun, F Ma, Y Wang, N Du, K Jia, L Su, A Zhang 2018 IEEE International Conference on Data Mining (ICDM), 717-726, 2018	79	2018
MeSHProbeNet: a self-attentive probe net for MeSH indexing G Xun, K Jha, Y Yuan, Y Wang, A Zhang Bioinformatics 35 (19), 3794-3802, 2019	52	2019
Multimodal Emergent Fake News Detection via Meta Neural Process Networks Y Wang, F Ma, H Wang, K Jha, J Gao KDD 2021, 3708–3716, 2021	50	2021
MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths M Ye, S Cui, Y Wang, J Luo, C Xiao, F Ma WWW 2021, 2021	46	2021
A hybrid self-attention deep learning framework for multivariate sleep stage classification Y Yuan, K Jia, F Ma, G Xun, Y Wang, L Su, A Zhang BMC bioinformatics 20, 1-10, 2019	44	2019
Learning from language description: Low-shot named entity recognition via decomposed framework Y Wang, H Chu, C Zhang, J Gao arXiv preprint arXiv:2109.05357, 2021	35	2021
A general framework for diagnosis prediction via incorporating medical code descriptions F Ma, Y Wang, H Xiao, Y Yuan, R Chitta, J Zhou, J Gao 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018	35	2018
Interpretable word embeddings for medical domain K Jha, Y Wang, G Xun, A Zhang ICDM 2018, 1061-1066, 2018	33	2018
Hypothesis generation from text based on co-evolution of biomedical concepts K Jha, G Xun, Y Wang, A Zhang KDD 2019, 2019	27	2019
Teach LLMs to Personalize--An Approach inspired by Writing Education C Li, M Zhang, Q Mei, Y Wang, SA Hombaiah, Y Liang, M Bendersky arXiv preprint arXiv:2308.07968, 2023	23	2023
Fedcon: A contrastive framework for federated semi-supervised learning Z Long, J Wang, Y Wang, H Xiao, F Ma arXiv preprint arXiv:2109.04533, 2021	23	2021
Discovering truths from distributed data Y Wang, F Ma, L Su, J Gao ICDM 2017, 2017	23	2017
Concepts-bridges: Uncovering conceptual bridges based on biomedical concept evolution K Jha, G Xun, Y Wang, V Gopalakrishnan, A Zhang KDD 2018, 2018	22	2018
Fedsemi: An adaptive federated semi-supervised learning framework Z Long, L Che, Y Wang, M Ye, J Luo, J Wu, H Xiao, F Ma arXiv preprint arXiv:2012.03292 24, 2020	20	2020

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