Uday Singh Saini

According to our database, Uday Singh Saini authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Matrix Profile for Anomaly Detection on Multidimensional Time Series.

Chin-Chia Michael Yeh, Audrey Der, Uday Singh Saini, Vivian Lai, Yan Zheng, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Yujie Fan, Huiyuan Chen, Prince Osei Aboagye, Liang Wang, Wei Zhang, Eamonn J. Keogh

CoRR, 2024

Preserving Individuality while Following the Crowd: Understanding the Role of User Taste and Crowd Wisdom in Online Product Rating Prediction.

Liang Wang, Shubham Jain, Yingtong Dou, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Prince Osei Aboagye, Yan Zheng, Xin Dai, Zhongfang Zhuang, Uday Singh Saini, Wei Zhang

CoRR, 2024

Has Your Pretrained Model Improved? A Multi-head Posterior Based Approach.

Prince Osei Aboagye, Yan Zheng, Junpeng Wang, Uday Singh Saini, Xin Dai, Chin-Chia Michael Yeh, Yujie Fan, Zhongfang Zhuang, Shubham Jain, Liang Wang, Wei Zhang

CoRR, 2024

Analysis of Causal and Non-Causal Convolution Networks for Time Series Classification.

Uday Singh Saini, Zhongfang Zhuang, Chin-Chia Michael Yeh, Wei Zhang, Evangelos E. Papalexakis

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data.

Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Uday Singh Saini, Vivian Lai, Prince Osei Aboagye, Junpeng Wang, Huiyuan Chen, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Neural Additive Tensor Decomposition for Sparse Tensors.

Dawon Ahn, Uday Singh Saini, Evangelos E. Papalexakis, Ali Payani

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Harvester: Principled Factorization-based Temporal Tensor Granularity Estimation.

Ravdeep S. Pasricha, Uday Singh Saini, Nicholas D. Sidiropoulos, Fei Fang, Kevin Chan, Evangelos E. Papalexakis

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

CARL-G: Clustering-Accelerated Representation Learning on Graphs.

William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

TENALIGN: Joint Tensor Alignment and Coupled Factorization.

Yunshu Wu, Uday Singh Saini, Jia Chen, Evangelos E. Papalexakis

Proceedings of the IEEE International Conference on Data Mining, 2022

Multi-aspect Matrix Factorization based Visualization of Convolutional Neural Networks.

Uday Singh Saini, Evangelos E. Papalexakis

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021

Subspace Clustering Based Analysis of Neural Networks.

Uday Singh Saini, Pravallika Devineni, Evangelos E. Papalexakis

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020

Analyzing Representations inside Convolutional Neural Networks.

Uday Singh Saini, Evangelos E. Papalexakis

CoRR, 2020

2018

A Peek Into the Hidden Layers of a Convolutional Neural Network Through a Factorization Lens.

Uday Singh Saini, Evangelos E. Papalexakis

CoRR, 2018

2016

Relation Schema Induction using Tensor Factorization with Side Information.

Madhav Nimishakavi, Uday Singh Saini, Partha P. Talukdar

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016