Xin Yu

According to our database, Xin Yu authored at least 14 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data.

Shikai Fang, Xin Yu, Zheng Wang, Shibo Li, Mike Kirby, Shandian Zhe

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multi-Resolution Active Learning of Fourier Neural Operators.

Shibo Li, Xin Yu, Wei W. Xing, Robert M. Kirby, Akil Narayan, Shandian Zhe

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Streaming Factor Trajectory Learning for Temporal Tensor Decomposition.

Shikai Fang, Xin Yu, Shibo Li, Zheng Wang, Mike Kirby, Shandian Zhe

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions.

Junyang Cai, Khai-Nguyen Nguyen, Nishant Shrestha, Aidan Good, Ruisen Tu, Xin Yu, Shandian Zhe, Thiago Serra

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2023

2022

Batch Multi-Fidelity Active Learning with Budget Constraints.

Shibo Li, Jeff M. Phillips, Xin Yu, Robert M. Kirby, Shandian Zhe

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm.

Aidan Good, Jiaqi Lin, Xin Yu, Hannah Sieg, Mikey Ferguson, Shandian Zhe, Jerzy Wieczorek, Thiago Serra

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks.

Xin Yu, Thiago Serra, Srikumar Ramalingam, Shandian Zhe

Proceedings of the International Conference on Machine Learning, 2022

2021

Scaling Up Exact Neural Network Compression by ReLU Stability.

Thiago Serra, Xin Yu, Abhinav Kumar, Srikumar Ramalingam

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Joint 3D Human Shape Recovery and Pose Estimation from a Single Image with Bilayer Graph.

Xin Yu, Jeroen van Baar, Siheng Chen

Proceedings of the International Conference on 3D Vision, 2021

2020

Mapping of Sparse 3D Data Using Alternating Projection.

Siddhant Ranade, Xin Yu, Shantnu Kakkar, Pedro Miraldo, Srikumar Ramalingam

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

Can generalised relative pose estimation solve sparse 3D registration?

Siddhant Ranade, Xin Yu, Shantnu Kakkar, Pedro Miraldo, Srikumar Ramalingam

CoRR, 2019

2018

VLASE: Vehicle Localization by Aggregating Semantic Edges.

Xin Yu, Sagar Chaturvedi, Chen Feng, Yuichi Taguchi, Teng-Yok Lee, Clinton Fernandes, Srikumar Ramalingam

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Learning Strict Identity Mappings in Deep Residual Networks.

Xin Yu, Zhiding Yu, Srikumar Ramalingam

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Compass: Spatio Temporal Sentiment Analysis of US Election What Twitter Says!

Debjyoti Paul, Feifei Li, Murali Krishna Teja, Xin Yu, Richie Frost

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017