Relation Schema Induction using Tensor Factorization with Side Information. - Madhav Nimishakavi; Uday Singh Saini; Partha P. Talukdar (EMNLP, 2016)

A Peek Into the Hidden Layers of a Convolutional Neural Network Through a Factorization Lens. - Uday Singh Saini; Evangelos E. Papalexakis (CoRR, 2018)

Analyzing Representations inside Convolutional Neural Networks. - Uday Singh Saini; Evangelos E. Papalexakis (CoRR, 2020)

Subspace Clustering Based Analysis of Neural Networks. - Uday Singh Saini; Pravallika Devineni; Evangelos E. Papalexakis (ECML/PKDD (3), 2021)

Multi-aspect Matrix Factorization based Visualization of Convolutional Neural Networks. - Uday Singh Saini; Evangelos E. Papalexakis (DSAA, 2022)

TENALIGN: Joint Tensor Alignment and Coupled Factorization. - Yunshu Wu; Uday Singh Saini; Jia Chen 002; Evangelos E. Papalexakis (ICDM, 2022)

CARL-G: Clustering-Accelerated Representation Learning on Graphs. - William Shiao; Uday Singh Saini; Yozen Liu; Tong Zhao 003; Neil Shah; Evangelos E. Papalexakis (KDD, 2023)

Harvester: Principled Factorization-based Temporal Tensor Granularity Estimation. - Ravdeep S. Pasricha; Uday Singh Saini; Nicholas D. Sidiropoulos; Fei Fang 001; Kevin Chan 001; Evangelos E. Papalexakis (SDM, 2023)

Neural Additive Tensor Decomposition for Sparse Tensors. - Dawon Ahn; Uday Singh Saini; Evangelos E. Papalexakis; Ali Payani (CIKM, 2024)

Matrix Profile for Anomaly Detection on Multidimensional Time Series. - Chin-Chia Michael Yeh; Audrey Der; Uday Singh Saini; Vivian Lai; Yan Zheng 001; Junpeng Wang 001; Xin Dai; Zhongfang Zhuang; Yujie Fan; Huiyuan Chen; Prince Osei Aboagye; Liang Wang 047; et al. (ICDM, 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 001; Huiyuan Chen; Yan Zheng 001; Zhongfang Zhuang; Liang Wang 047; Wei Zhang 189 (KDD, 2024)

Analysis of Causal and Non-Causal Convolution Networks for Time Series Classification. - Uday Singh Saini; Zhongfang Zhuang; Chin-Chia Michael Yeh; Wei Zhang 189; Evangelos E. Papalexakis (SDM, 2024)

Has Your Pretrained Model Improved? A Multi-head Posterior Based Approach. - Prince Osei Aboagye; Yan Zheng 001; Junpeng Wang 001; Uday Singh Saini; Xin Dai; Chin-Chia Michael Yeh; Yujie Fan; Zhongfang Zhuang; Shubham Jain; Liang Wang 047; Wei Zhang 189 (CoRR, 2024)

Preserving Individuality while Following the Crowd: Understanding the Role of User Taste and Crowd Wisdom in Online Product Rating Prediction. - Liang Wang 047; Shubham Jain; Yingtong Dou; Junpeng Wang 001; Chin-Chia Michael Yeh; Yujie Fan; Prince Osei Aboagye; Yan Zheng 001; Xin Dai; Zhongfang Zhuang; Uday Singh Saini; Wei Zhang 189 (CoRR, 2024)

A Case Study of Low Ranked Self-Expressive Structures in Neural Network Representations. - Uday Singh Saini; William Shiao; Yahya Sattar; Yogesh Dahiya; Samet Oymak; Evangelos E. Papalexakis (CPAL, 2025)

Visual Attention Exploration in Vision-Based Mamba Models. - Junpeng Wang 001; Chin-Chia Michael Yeh; Uday Singh Saini; Mahashweta Das (PacificVis, 2025)

A Compact Model for Large-Scale Time Series Forecasting. - Chin-Chia Michael Yeh; Xiran Fan; Zhimeng Jiang; Yujie Fan; Huiyuan Chen; Uday Singh Saini; Vivian Lai; Xin Dai; Junpeng Wang 001; Zhongfang Zhuang; Liang Wang 047; Yan Zheng 001 (CoRR, 2025)

Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers. - Jiarui Sun; Chin-Chia Michael Yeh; Yujie Fan; Xin Dai; Xiran Fan; Zhimeng Jiang; Uday Singh Saini; Vivian Lai; Junpeng Wang 001; Huiyuan Chen; Zhongfang Zhuang; Yan Zheng 001; et al. (CoRR, 2025)