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Uday Singh Saini

Relation Schema Induction using Tensor Factorization with Side Information
2016 · Madhav Nimishakavi, Uday Singh Saini, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 24
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Empowering Time Series Forecasting with LLM-Agents
2025 · Chin-Chia Michael Yeh, Vivian Lai, et al. · IEEE International Conference on Big Data (BigData) · 12
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TransactionGPT
2025 · Dou, Yingtong, Jiang, Zhimeng, et al. · arXiv (Cornell University) · 11
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Matrix Profile for Anomaly Detection on Multidimensional Time Series
2024 · Chin-Chia Michael Yeh, Audrey Der, et al. · Proceedings · 11
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RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data
2024 · Chin-Chia Michael Yeh, Yujie Fan, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 11
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CARL-G: Clustering-Accelerated Representation Learning on Graphs
2023 · William Shiao, Uday Singh Saini, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 10
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TiCT: A Synthetically Pre-Trained Foundation Model for Time Series Classification
2025 · Yeh, Chin-Chia Michael, Saini, Uday Singh, et al. · arXiv (Cornell University) · 7
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TREASURE: The Visa Payment Foundation Model for High-Volume Transaction Understanding
2025 · Yeh, Chin-Chia Michael, Saini, Uday Singh, et al. · arXiv (Cornell University) · 7
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Neural Additive Tensor Decomposition for Sparse Tensors
2024 · Dawon Ahn, Uday Singh Saini, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 7
Analysis of Causal and Non-Causal Convolution Networks for Time Series Classification
2024 · Uday Singh Saini, Zhongfang Zhuang, et al. · Society for Industrial and Applied Mathematics eBooks · 3
TENALIGN: Joint Tensor Alignment and Coupled Factorization
2022 · Yunshu Wu, Uday Singh Saini, et al. · Proceedings · 3
Multi-aspect Matrix Factorization based Visualization of Convolutional Neural Networks
2022 · Uday Singh Saini, Evangelos E. Papalexakis · IEEE International Conference on Data Science and Advanced Analytics (DSAA) · 3
A Peek Into the Hidden Layers of a Convolutional Neural Network Through a Factorization Lens
2018 · Saini, Uday Singh, Papalexakis, Evangelos E. · arXiv (Cornell University) · 3
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TREASURE: A Transformer-Based Foundation Model for High-Volume Transaction Understanding
2026 · Chin-Chia Michael Yeh, Uday Singh Saini, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 2
H arvester : Principled Factorization-based Temporal Tensor Granularity Estimation
2023 · Ravdeep S Pasricha, Uday Singh Saini, et al. · Society for Industrial and Applied Mathematics eBooks · 2
TransactionGPT: Toward Foundational Transaction Modeling
2026 · Yingtong Dou, Zhimeng Jiang, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 1
UltraSTF: Ultra-Compact Model for Large-Scale Spatio-Temporal Forecasting
2025 · Chin-Chia Michael Yeh, Xiran Fan, et al. · IEEE International Conference on Big Data (BigData) · 1
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Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers
2025 · Sun, Jiarui, Yeh, Chin-Chia Michael, et al. · arXiv (Cornell University) · 1
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Preserving Individuality while Following the Crowd: Understanding the Role of User Taste and Crowd Wisdom in Online Product Rating Prediction
2024 · Wang, Liang, Jain, Shubham, et al. · arXiv (Cornell University) · 1
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Subspace Clustering Based Analysis of Neural Networks
2021 · Uday Singh Saini, Pravallika Devineni, et al. · Lecture notes in computer science · 1
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Token Signatures of Code: Comparing Coding Behaviors Across Large Language Models
2026 · Wang, Junpeng, Chen, Yuzhong, et al. · arXiv (Cornell University)
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Optimizing Reasoning LLMs for Automated Feature Engineering via Multi-Stage Direct Preference Optimization
2026 · Mingzhi Hu, Menghai Pan, et al.
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EiFormer: Improving Inverted Transformers for Efficient Time Series Forecasting in Large-Scale Spatial-Temporal Data
2025 · Jiarui Sun, Chin-Chia Michael Yeh, et al. · IEEE International Conference on Big Data (BigData)
Visual Attention Exploration in Vision-Based Mamba Models
2025 · Junpeng Wang, Chin-Chia Michael Yeh, et al. · IEEE Pacific Visualization Conference (PacificVis)
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Follow the Crowd but Keep Myself: Understanding the Role of Crowd Wisdom and Individual User Taste in Rating Prediction
2025 · Liang Wang, Shubham Jain, et al. · Communications in computer and information science
Works count: 28
Citation count: 121
H-index: 7
I10-index: 6
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