| 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 | 1519 | 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 | 658 | 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 | 332 | 2022 |
| Neurotoxin: durable backdoors in federated learning Z Zhang, A Panda, L Song, Y Yang, M Mahoney, P Mittal, R Kannan, ... International Conference on Machine Learning, 26429-26446, 2022 | 156 | 2022 |
| 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 | 133* | 2020 |
| Coded distributed computing for inverse problems Y Yang, P Grover, S Kar Advances in Neural Information Processing Systems 30, 2017 | 90* | 2017 |
| 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 | 85 | 2019 |
| Computing linear transformations with unreliable components Y Yang, P Grover, S Kar IEEE Transactions on Information Theory 63 (6), 3729-3756, 2017 | 75 | 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 | 64 | 2019 |
| 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 | 56 | 2021 |
| 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 | 53 | 2020 |
| 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 | 44 | 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 | 41 | 2019 |
| Taxonomizing local versus global structure in neural network loss landscapes Y Yang, L Hodgkinson, R Theisen, J Zou, JE Gonzalez, K Ramchandran, ... Advances in Neural Information Processing Systems 34, 18722-18733, 2021 | 36 | 2021 |
| Test accuracy vs. generalization gap: Model selection in nlp without accessing training or testing data Y Yang, R Theisen, L Hodgkinson, JE Gonzalez, K Ramchandran, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 35* | 2023 |
| Spectrum Reuse Ratio in 5G Cellular Networks: A Matrix Graph Approach Y Yang, B Bai, W Chen IEEE Transactions on Mobile Computing, 2017 | 30* | 2017 |
| Coding for a single sparse inverse problem Y Yang, P Grover, S Kar 2018 IEEE International Symposium on Information Theory (ISIT), 1575-1579, 2018 | 28* | 2018 |
| Fault-tolerant distributed logistic regression using unreliable components Y Yang, P Grover, S Kar 2016 54th Annual Allerton Conference on Communication, Control, and …, 2016 | 24 | 2016 |
| Teach LLMs to Phish: Stealing Private Information from Language Models A Panda, CA Choquette-Choo, Z Zhang, Y Yang, P Mittal The Twelfth International Conference on Learning Representations, 2023 | 23* | 2023 |
| Addressing unreliability in emerging devices and Non-Von Neumann architectures using coded computing S Dutta, H Jeong, Y Yang, V Cadambe, TM Low, P Grover Proceedings of the IEEE 108 (8), 1219-1234, 2020 | 23 | 2020 |
Pulkit GroverProfessor, Electrical and Computer Engineering, Neuroscience Inst., Biomedical Eng (by courtesy)在 cmu.edu 的电子邮件经过验证
