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ORCIDUday Singh Saini
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2020 – today
- 2025
[i11]Chin-Chia Michael Yeh, Xiran Fan, Zhimeng Jiang, Yujie Fan, Huiyuan Chen, Uday Singh Saini, Vivian Lai, Xin Dai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Yan Zheng:
A Compact Model for Large-Scale Time Series Forecasting. CoRR abs/2502.20634 (2025)- [i10]Junpeng Wang, Chin-Chia Michael Yeh, Uday Singh Saini, Mahashweta Das:
Visual Attention Exploration in Vision-Based Mamba Models. CoRR abs/2502.20764 (2025) - [i9]Jiarui Sun, Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Xiran Fan, Zhimeng Jiang, Uday Singh Saini, Vivian Lai, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Yan Zheng, Girish Chowdhary:
Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers. CoRR abs/2503.10858 (2025) - 2024
- [c10]Dawon Ahn
, Uday Singh Saini, Evangelos E. Papalexakis, Ali Payani:
Neural Additive Tensor Decomposition for Sparse Tensors. CIKM 2024: 14-23 - [c9]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:
Matrix Profile for Anomaly Detection on Multidimensional Time Series. ICDM 2024: 911-916 - [c8]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:
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data. KDD 2024: 3919-3930 - [c7]Uday Singh Saini, Zhongfang Zhuang, Chin-Chia Michael Yeh, Wei Zhang, Evangelos E. Papalexakis:
Analysis of Causal and Non-Causal Convolution Networks for Time Series Classification. SDM 2024: 797-805 - [i8]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:
Has Your Pretrained Model Improved? A Multi-head Posterior Based Approach. CoRR abs/2401.02987 (2024) - [i7]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:
Preserving Individuality while Following the Crowd: Understanding the Role of User Taste and Crowd Wisdom in Online Product Rating Prediction. CoRR abs/2409.04649 (2024) - [i6]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:
Matrix Profile for Anomaly Detection on Multidimensional Time Series. CoRR abs/2409.09298 (2024) - 2023
- [c6]William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis:
CARL-G: Clustering-Accelerated Representation Learning on Graphs. KDD 2023: 2036-2048 - [c5]Ravdeep S. Pasricha, Uday Singh Saini, Nicholas D. Sidiropoulos, Fei Fang, Kevin Chan, Evangelos E. Papalexakis:
Harvester: Principled Factorization-based Temporal Tensor Granularity Estimation. SDM 2023: 82-90 - [i5]William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis:
CARL-G: Clustering-Accelerated Representation Learning on Graphs. CoRR abs/2306.06936 (2023) - 2022
- [c4]Uday Singh Saini, Evangelos E. Papalexakis:
Multi-aspect Matrix Factorization based Visualization of Convolutional Neural Networks. DSAA 2022: 1-12 - [c3]Yunshu Wu, Uday Singh Saini, Jia Chen, Evangelos E. Papalexakis:
TENALIGN: Joint Tensor Alignment and Coupled Factorization. ICDM 2022: 568-577 - 2021
- [c2]Uday Singh Saini, Pravallika Devineni, Evangelos E. Papalexakis:
Subspace Clustering Based Analysis of Neural Networks. ECML/PKDD (3) 2021: 697-712 - [i4]Uday Singh Saini, Pravallika Devineni, Evangelos E. Papalexakis:
Subspace Clustering Based Analysis of Neural Networks. CoRR abs/2107.01296 (2021) - 2020
- [i3]Uday Singh Saini, Evangelos E. Papalexakis:
Analyzing Representations inside Convolutional Neural Networks. CoRR abs/2012.12516 (2020)
2010 – 2019
- 2018
- [i2]Uday Singh Saini, Evangelos E. Papalexakis:
A Peek Into the Hidden Layers of a Convolutional Neural Network Through a Factorization Lens. CoRR abs/1806.02012 (2018) - 2016
- [c1]Madhav Nimishakavi, Uday Singh Saini, Partha P. Talukdar:
Relation Schema Induction using Tensor Factorization with Side Information. EMNLP 2016: 414-423 - [i1]Madhav Nimishakavi, Uday Singh Saini, Partha P. Talukdar:
Relation Schema Induction using Tensor Factorization with Side Information. CoRR abs/1605.04227 (2016)
Coauthor Index
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