Adams Wei Yu

2.8k total citations · 1 hit paper
18 papers, 534 citations indexed

About

Adams Wei Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Adams Wei Yu has authored 18 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Mechanics. Recurrent topics in Adams Wei Yu's work include Sparse and Compressive Sensing Techniques (5 papers), Stochastic Gradient Optimization Techniques (4 papers) and Multimodal Machine Learning Applications (4 papers). Adams Wei Yu is often cited by papers focused on Sparse and Compressive Sensing Techniques (5 papers), Stochastic Gradient Optimization Techniques (4 papers) and Multimodal Machine Learning Applications (4 papers). Adams Wei Yu collaborates with scholars based in United States, China and Hong Kong. Adams Wei Yu's co-authors include Quoc V. Le, Denny Zhou, Mingxing Tan, Daiyi Peng, Alan Yuille, Tianjian Meng, Yifeng Lu, Ben Caine, Jiquan Ngiam and Yingwei Li and has published in prestigious journals such as Neurocomputing, Journal of Machine Learning Research and Proceedings of the VLDB Endowment.

In The Last Decade

Adams Wei Yu

14 papers receiving 517 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection

2022 301 citations Yingwei Li, Adams Wei Yu et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers

Countries citing papers authored by Adams Wei Yu

Since Specialization

Citations

This map shows the geographic impact of Adams Wei Yu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Adams Wei Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adams Wei Yu more than expected).

Fields of papers citing papers by Adams Wei Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adams Wei Yu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Adams Wei Yu. The network helps show where Adams Wei Yu may publish in the future.

Co-authorship network of co-authors of Adams Wei Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Adams Wei Yu. A scholar is included among the top collaborators of Adams Wei Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Adams Wei Yu. Adams Wei Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining 2023 ·Xuanyi Dong, Nan Du, (unknown), (unknown), Hanxiao Liu, Yifeng Lu, (unknown), (unknown), (unknown), Adams Wei Yu	0
2	Combined scaling for zero-shot transfer learning 2023 ·Neurocomputing ·Hieu Pham, Zihang Dai, Golnaz Ghiasi, Kenji Kawaguchi, Hanxiao Liu, Adams Wei Yu, Jiahui Yu, (unknown), Minh-Thang Luong, Yonghui Wu, Mingxing Tan, Quoc V. Le	38
3	DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection breakdown → 2022 ·2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Yingwei Li, Adams Wei Yu, Tianjian Meng, Ben Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan Yuille, Mingxing Tan	301
4	Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension 2020 ·International Conference on Learning Representations ·Xinyun Chen, Liang Chen, Adams Wei Yu, Denny Zhou, Dawn Song, Quoc V. Le	40
5	AutoHAS: Differentiable Hyper-parameter and Architecture Search. 2020 ·arXiv (Cornell University) ·Xuanyi Dong, Mingxing Tan, Adams Wei Yu, Daiyi Peng, Bogdan Gabryś, Quoc V. Le	10
6	DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization 2019 ·Journal of Machine Learning Research ·Lin Xiao, Adams Wei Yu, Qihang Lin, Weizhu Chen	14
7	Orthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural Networks 2018 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Lei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Yongliang Wang, Bo Li	78
8	Saddle Points and Accelerated Perceptron Algorithms 2018 ·Figshare ·Adams Wei Yu, Fatma Kılınç-Karzan, Jaime Carbonell	0
9	EXPLORING NEURAL ARCHITECTURE SEARCH FOR LANGUAGE TASKS 2018 ·Minh-Thang Luong, David Dohan, Adams Wei Yu, Quoc V. Le, Barret Zoph, Vijay Vasudevan	0
10	On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models 2017 ·arXiv (Cornell University) ·Yining Wang, Adams Wei Yu, Aarti Singh	4
11	AdaDelay: Delay Adaptive Distributed Stochastic Optimization 2016 ·International Conference on Artificial Intelligence and Statistics ·Suvrit Sra, Adams Wei Yu, Mu Li, Alexander J. Smola	5
12	Doubly Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization with Factorized Data. 2015 ·Adams Wei Yu, Qihang Lin, Tianbao Yang	3
13	Efficient Structured Matrix Rank Minimization 2014 ·arXiv (Cornell University) ·Adams Wei Yu, (unknown), Yaoliang Yu, Jaime Carbonell, Suvrit Sra	7
14	Probabilistic modeling of scenes using object frames 2014 ·Science China Information Sciences ·Hao Su, Adams Wei Yu	2
15	Reverse top-k search using random walk with restart 2014 ·Proceedings of the VLDB Endowment ·Adams Wei Yu, Nikos Mamoulis, (unknown)	22
16	Efficient Euclidean Projections onto the Intersection of Norm Balls 2012 ·International Conference on Machine Learning ·Adams Wei Yu, Hao Su, Li Fei-Fei	3
17	Search by mobile image based on visual and spatial consistency 2011 ·Xianglong Liu, (unknown), Adams Wei Yu, (unknown)	7
18	Music identification via vocabulary tree with MFCC peaks 2011 ·(unknown), Adams Wei Yu, Xianglong Liu, Bo Lang	0

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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