HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs. - Naganand Yadati; Madhav Nimishakavi; Prateek Yadav; Vikram Nitin; Anand Louis; Partha P. Talukdar (NeurIPS, 2019)

InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions. - Shikhar Vashishth; Soumya Sanyal 001; Vikram Nitin; Nilesh Agrawal; Partha P. Talukdar (AAAI, 2020)

NHP: Neural Hypergraph Link Prediction. - Naganand Yadati; Vikram Nitin; Madhav Nimishakavi; Prateek Yadav; Anand Louis; Partha P. Talukdar (CIKM, 2020)

Multitask Learning Strengthens Adversarial Robustness. - Chengzhi Mao; Amogh Gupta; Vikram Nitin; Baishakhi Ray; Shuran Song; Junfeng Yang; Carl Vondrick (ECCV (2), 2020)

Composition-based Multi-Relational Graph Convolutional Networks. - Shikhar Vashishth; Soumya Sanyal 001; Vikram Nitin; Partha P. Talukdar (ICLR, 2020)

CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture. - Vikram Nitin; Shubhi Asthana; Baishakhi Ray; Rahul Krishna (ASE, 2022)

Using AI to Automate the Modernization of Legacy Software Applications. - Vikram Nitin (ASE, 2024)

SpecTra: Enhancing the Code Translation Ability of Language Models by Generating Multi-Modal Specifications. - Vikram Nitin; Baishakhi Ray (CoRR, 2024)

Yuga: Automatically Detecting Lifetime Annotation Bugs in the Rust Language. - Vikram Nitin; Anne Mulhern; Sanjay Arora; Baishakhi Ray (IEEE Trans. Software Eng., 2024)

C2SaferRust: Transforming C Projects into Safer Rust with NeuroSymbolic Techniques. - Vikram Nitin; Rahul Krishna; Luiz Lemos do Valle; Baishakhi Ray (CoRR, 2025)

FaultLine: Automated Proof-of-Vulnerability Generation Using LLM Agents. - Vikram Nitin; Baishakhi Ray; Roshanak Zilouchian Moghaddam (CoRR, 2025)