Uday Singh Saini

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

TiCT: A Synthetically Pre-Trained Foundation Model for Time Series Classification.

[BibT_eX]

[DOI]

CoRR, November, 2025

TransactionGPT.

[BibT_eX]

[DOI]

CoRR, November, 2025

Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers.

[BibT_eX]

[DOI]

Jiarui Sun

CoRR, March, 2025

A Compact Model for Large-Scale Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, February, 2025

Visual Attention Exploration in Vision-Based Mamba Models.

[BibT_eX]

[DOI]

Junpeng Wang

Mahashweta Das

Proceedings of the 18th IEEE Pacific Visualization Conference, 2025

A Case Study of Low Ranked Self-Expressive Structures in Neural Network Representations.

[BibT_eX]

[DOI]

Proceedings of the Conference on Parsimony and Learning, 2025

Empowering Time Series Forecasting with LLM-Agents.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2025

UltraSTF: Ultra-Compact Model for Large-Scale Spatio-Temporal Forecasting.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2025

EiFormer: Improving Inverted Transformers for Efficient Time Series Forecasting in Large-Scale Spatial-Temporal Data.

[BibT_eX]

[DOI]

Jiarui Sun

Proceedings of the IEEE International Conference on Big Data, 2025

2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Zhongfang Zhuang

Wei Zhang

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.

[BibT_eX]

[DOI]

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

Matrix Profile for Anomaly Detection on Multidimensional Time Series.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2024

Neural Additive Tensor Decomposition for Sparse Tensors.

[BibT_eX]

[DOI]

Dawon Ahn

Ali Payani

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

2023

Harvester: Principled Factorization-based Temporal Tensor Granularity Estimation.

[BibT_eX]

[DOI]

Ravdeep S. Pasricha

Nicholas D. Sidiropoulos

Fei Fang

Kevin Chan

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

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

[BibT_eX]

[DOI]

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

2022

TENALIGN: Joint Tensor Alignment and Coupled Factorization.

[BibT_eX]

[DOI]

Yunshu Wu

Jia Chen

Proceedings of the IEEE International Conference on Data Mining, 2022

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

[BibT_eX]

[DOI]

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

2021

Subspace Clustering Based Analysis of Neural Networks.

[BibT_eX]

[DOI]

Pravallika Devineni

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

2020

Analyzing Representations inside Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

2018

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

[BibT_eX]

[DOI]

CoRR, 2018

2016

Relation Schema Induction using Tensor Factorization with Side Information.

[BibT_eX]

[DOI]

Madhav Nimishakavi