Deep learning for conflicting statements detection in text. - Vijay Lingam; Simran Bhuria; Mayukh Nair; Divij Gurpreetsingh; Anjali Goyal; Ashish Sureka (PeerJ Prepr., 2018)

Smartphone-based driver license testing: demo abstract. - Anurag Ghosh; Vijay Lingam; Ishit Mehta; Akshay Uttama Nambi; Venkata N. Padmanabhan; Satish Sangameswaran (SenSys, 2019)

ALT: towards automating driver license testing using smartphones. - Akshay Uttama Nambi; Ishit Mehta; Anurag Ghosh; Vijay Lingam; Venkata N. Padmanabhan (SenSys, 2019)

A Graph Convolutional Network Composition Framework for Semi-supervised Classification. - Rahul Ragesh; Sundararajan Sellamanickam; Vijay Lingam; Arun Iyer (CoRR, 2020)

HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification. - Rahul Ragesh; Sundararajan Sellamanickam; Arun Iyer; Ramakrishna Bairi; Vijay Lingam (WSDM, 2021)

User Embedding based Neighborhood Aggregation Method for Inductive Recommendation. - Rahul Ragesh; Sundararajan Sellamanickam; Vijay Lingam; Arun Iyer; Ramakrishna Bairi (CoRR, 2021)

GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks. - Vijay Lingam; Arun Iyer; Rahul Ragesh (CoRR, 2021)

Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs. - Vijay Lingam; Rahul Ragesh; Arun Iyer; Sundararajan Sellamanickam (CoRR, 2021)

Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks. - Vijay Lingam; Rahul Ragesh; Arun Iyer; Sundararajan Sellamanickam (CoRR, 2021)

A Piece-Wise Polynomial Filtering Approach for Graph Neural Networks. - Vijay Lingam; Manan Sharma; Chanakya Ekbote; Rahul Ragesh; Arun Iyer; Sundararajan Sellamanickam (ECML/PKDD (2), 2022)

Probing Graph Representations. - Mohammad Sadegh Akhondzadeh; Vijay Lingam; Aleksandar Bojchevski (AISTATS, 2023)

Rethinking Label Poisoning for GNNs: Pitfalls and Attacks. - Vijay Lingam; Mohammad Sadegh Akhondzadeh; Aleksandar Bojchevski (ICLR, 2024)

SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors. - Vijay Lingam; Atula Neerkaje; Aditya Vavre; Aneesh Shetty; Gautham Krishna Gudur; Joydeep Ghosh; Eunsol Choi; Alex Dimakis; Aleksandar Bojchevski; Sujay Sanghavi (NeurIPS, 2024)

SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors. - Vijay Lingam; Atula Tejaswi; Aditya Vavre; Aneesh Shetty; Gautham Krishna Gudur; Joydeep Ghosh; Alex Dimakis; Eunsol Choi; Aleksandar Bojchevski; Sujay Sanghavi (CoRR, 2024)

Enhancing Language Model Agents using Diversity of Thoughts. - Vijay Lingam; Behrooz Omidvar-Tehrani; Sujay Sanghavi; Gaurav Gupta; Sayan Ghosh; Linbo Liu; Jun Huan; Anoop Deoras (ICLR, 2025)