Foldingnet: Point cloud auto-encoder via deep grid deformation Y Yang, C Feng, Y Shen, D Tian Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 978 | 2018 |
Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling Y Shen, C Feng, Y Yang, D Tian Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 4, 2018 | 492 | 2018 |
Two sides of the same coin: Heterophily and oversmoothing in graph convolutional neural networks Y Yan, M Hashemi, K Swersky, Y Yang, D Koutra 2022 IEEE International Conference on Data Mining (ICDM), 1287-1292, 2022 | 101 | 2022 |
Coded distributed computing for inverse problems Y Yang, P Grover, S Kar Advances in Neural Information Processing Systems 30, 2017 | 79* | 2017 |
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models Z Zhang, Y Yang, Z Yao, Y Yan, JE Gonzalez, K Ramchandran, ... 2021 IEEE International Conference on Big Data (regular paper), 2020 | 66 | 2020 |
Computing linear transformations with unreliable components Y Yang, P Grover, S Kar IEEE Transactions on Information Theory 63 (6), 3729-3756, 2017 | 65 | 2017 |
Proactive Caching for Vehicular Multi-View 3D Video Streaming via Deep Reinforcement Learning Z Zhang, Y Yang, M Hua, C Li, Y Huang, L Yang IEEE Transactions on Wireless Communications 18 (5), 2693-2706, 2019 | 50 | 2019 |
Deep unsupervised learning of 3D point clouds via graph topology inference and filtering S Chen, C Duan, Y Yang, D Li, C Feng, D Tian IEEE Transactions on Image Processing 29, 3183-3198, 2019 | 48 | 2019 |
An Application of Storage-Optimal MatDot Codes for Coded Matrix Multiplication: Fast k-Nearest Neighbors Estimation U Sheth, S Dutta, M Chaudhari, H Jeong, Y Yang, J Kohonen, T Roos, ... 2018 IEEE International Conference on Big Data (Big Data), 1113-1120, 2018 | 43 | 2018 |
Coded elastic computing Y Yang, M Interlandi, P Grover, S Kar, S Amizadeh, M Weimer 2019 IEEE International Symposium on Information Theory (ISIT), 2654-2658, 2019 | 32 | 2019 |
Coding for a single sparse inverse problem Y Yang, P Grover, S Kar 2018 IEEE International Symposium on Information Theory (ISIT), 1575-1579, 2018 | 27* | 2018 |
Boundary thickness and robustness in learning models Y Yang, R Khanna, Y Yu, A Gholami, K Keutzer, JE Gonzalez, ... Advances in Neural Information Processing Systems 33, 2020 | 26 | 2020 |
Spectrum Reuse Ratio in 5G Cellular Networks: A Matrix Graph Approach Y Yang, B Bai, W Chen IEEE Transactions on Mobile Computing, 2017 | 26* | 2017 |
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices P Trivedi, ES Lubana, Y Yan, Y Yang, D Koutra (TheWebConf 2022) The Web Conference 2022, 2021 | 24 | 2021 |
Fault-tolerant distributed logistic regression using unreliable components Y Yang, P Grover, S Kar 2016 54th Annual Allerton Conference on Communication, Control, and …, 2016 | 23 | 2016 |
Straggler-Resilient and Communication-Efficient Distributed Iterative Linear Solver F Haddadpour, Y Yang, M Chaudhari, VR Cadambe, P Grover arXiv preprint arXiv:1806.06140, 2018 | 21 | 2018 |
Cross-Iteration Coded Computing F Haddadpour, Y Yang, V Cadambe, P Grover 2018 56th Annual Allerton Conference on Communication, Control, and …, 2018 | 18 | 2018 |
Can a noisy encoder be used to communicate reliably? Y Yang, P Grover, S Kar 2014 52nd Annual Allerton Conference on Communication, Control, and …, 2014 | 17 | 2014 |
Fault-tolerant parallel linear filtering using compressive sensing Y Yang, P Grover, S Kar 2016 9th International Symposium on Turbo Codes and Iterative Information …, 2016 | 16 | 2016 |
Detecting Localized Categorical Attributes on Graphs S Chen, Y Yang, Z Shi, A Singh, J Kovacevic IEEE Transactions on Signal Processing, 2017 | 15* | 2017 |