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dblp: Hongyang Gao

Hongyang Gao, Zhengyang Wang, Shuiwang Ji: ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions. CoRR abs/1809.01330 ( 2018 )

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Ji and his team earn top showing at premier data mining ...

2021-6-22 · Dr. Shuiwang Ji and his team participated and won high honors in the 2021 Knowledge Discovery in Databases Cup. Their competitors included several high-profile companies, including Microsoft, Deepmind and Microsoft Research Asia.

2019-5-30 · sql1; sql1 = " SELECT *,count(name) as total from shuiwang GROUP BY name order by total desc limit 1 "; ResultSet rs1 = stmt.executeQuery(sql1); // while (rs1.next ...

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2021-6-15 ·  ()"",, IEEE Senior Member、、 ...

[PDF] Graph U-Nets | Semantic Scholar

We consider the problem of representation learning for graph data. Given images are special cases of graphs with nodes lie on 2D lattices, graph embedding tasks have a natural correspondence with image pixel-wise prediction tasks such as segmentation. While encoder-decoder architectures like U-Nets have been successfully applied to image pixel-wise prediction tasks, similar methods are lacking ...

Publications | Hongyang Gao

2021-8-14 · Hongyang Gao and Shuiwang Ji. Kronecker Attention Networks. The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ( KDD ), 2020. [paper] Hongyang Gao, Lei Cai, and Shuiwang Ji. Adaptive Convolutional …

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Qingyang Li, Shuang Qiu, Shuiwang Ji, Jieping Ye, and Jie Wang. SIGKDD 2016. [5]A Multi-task Learning Formulation for Survival Analysis. Yan Li, Jie Wang, Jieping Ye, and Chandan Reddy. SIGKDD 2016. [6]Large-scale Collaborative Imaging Genetics

He SHUIWANG | Master of Science | Kunming Institute of ...

He Shuiwang currently works at the State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology CAS. He does research in Evolutionary Biology. Their most recent ...

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Shuiwang Ji

According to our current on-line database, Shuiwang Ji has 3 students and 3 descendants. We welcome any additional information. If you have additional information or corrections regarding this mathematician, please use the update form.To submit students of this mathematician, please use the new data form, noting this mathematician''s MGP ID of 190239 for the advisor ID.

Kapal korek di Malaysia

2021-7-30 · Dr. Shuiwang Ji, associate professor in the Department of Computer Science and Engineering at Texas A&M University, is one of the principal investigators on a $6 million grant from the National Institutes of Health to develop artificial intelligence …

Funded Projects

2020-5-1 · Funded Projects. "III: Small: Collaborative Research: Demystifying Deep Learning on Graphs: From Basic Operations to Applications", NSF (#2006844), ($500,000, 10/1/2020 - 09/30/2023, personal share: $268,732), PIs: Jundong Li, Shuiwang Ji. "Understanding Causality in Complex Systems via Network Guided Causal Inference", UVA 3Cavaliers ...

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2015-9-15 · ZHANG Shen, JI Hongbing, YAN Weijin and DUAN Shuiwang, Composition and flux of nutrients transport to estuary of the Changjiang River, Journal of Geographical Sciences, 2003, 13(1), 3-12 7. ,,,,, , 2003, 24 (), 38-43

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Yaochen (Ethan) Xie

2021-2-7 · Yaochen Xie, Zhengyang Wang, and Shuiwang Ji, "Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising." The 34th Annual Conference on Neural Information Processing Systems (NeurIPS), x-x, 2020. Xiang-Yang Li, Huiqi ...

Shuiwang Ji | OpenReview

Shuiwang Ji (Preferred) Suggest Name; Emails. Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, …

ICML 2021|GNN

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pembinaan sisa pemisah batu kerikil pemisah lombong ...

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Noise2Same: Optimizing A Self-Supervised Bound for Image ...

In this work, we introduce Noise2Same, a novel self-supervised denoising framework. In Noise2Same, a new self-supervised loss is proposed by deriving a self-supervised upper bound of the typical supervised loss. In particular, Noise2Same requires neither J-invariance nor extra information about the noise model and can be used in a wider range ...

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2021-3-15 · 313 《 2035》 5

Youzhi Luo

2021-5-12 · Youzhi Luo, Keqiang Yan, and Shuiwang Ji; GraphDF: A Discrete Flow Model for Molecular Graph Generation The 38th International Conference on Machine Learning (ICML), 2021 Services Conference Reviewer. ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020.

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Limei Wang

2021-7-21 · My advisor is Dr. Shuiwang Ji, who leads the Data Integration, Visualization, and Exploration (DIVE) Laboratory. Research Interests. Machine Learning. Deep Learning. News. 06/2021 [email protected] is an awardee of KDD Cup 2021 on OGB-LSC. [Technical report], 03/2021 Our ...

Artificial intelligence research may help with Alzheimer''s ...

2021-7-30 · Dr. Shuiwang Ji, associate professor in the Department of Computer Science and Engineering at Texas A&M University, is one of the principal investigators on a $6 million grant from the National Institutes of Health to develop artificial intelligence …

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Jinliang Huang-

. .,2021. Jingyu Lin, Jinliang Huang*, Michalis Hadjikakou, Yaling Huang, Kun Li, Brett A. Bryan. Reframing water-related ecosystem services flows. Ecosystem Services, 2021, 50, 101306. Jinyu Lin, Jinliang Huang*, Christina Prell, Brett A Bryan. Changes in Supply and ...

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A Neural Network View of Kernel Methods

2020-9-28 · A Neural Network View of Kernel Methods Shuiwang Ji Texas A&M University College Station, TX 77843 [email protected] Youzhi Luo Texas A&M University College Station, TX 77843

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Shuiwang Ji, ACM Distinguished Member

2021-6-16 · Shuiwang Ji, ACM Distinguished Member. Associate Professor Department of Computer Science & Engineering Texas A&M University 305 L.F. Peterson Building 435 Nagle Street College Station, TX 77843-3112 Phone: (979) 458-1547; Fax: (979) 845-1420 E-mail: Google Scholar Tweets The last name: Ji

Shuiwang LI

Shuiwang Li. Qijun Zhao. Xiangdong Fei. Reconstructing fingerprint images from a given set of minutiae is an important issue in analyzing the masquerade attack of automated fingerprint recognition ...