Vikram Nitin

18 papers A* 5A 1Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
C2SaferRust: Transforming C Projects Into Safer Rust With NeuroSymbolic Techniques.
IEEE Trans. Software Eng.
Vikram Nitin, Rahul Krishna, Luiz Lemos do Valle, Baishakhi Ray
2026 J jnl
Code Quality Analysis of Translations from C to Rust.
CoRR
Biruk Tadesse, Vikram Nitin, Mazin Salah, Baishakhi Ray, Marcelo d'Amorim, Wesley Assunção
2025 J jnl
C2SaferRust: Transforming C Projects into Safer Rust with NeuroSymbolic Techniques.
CoRR
Vikram Nitin, Rahul Krishna, Luiz Lemos do Valle, Baishakhi Ray
2025 J jnl
FaultLine: Automated Proof-of-Vulnerability Generation Using LLM Agents.
CoRR
Vikram Nitin, Baishakhi Ray, Roshanak Zilouchian Moghaddam
2024 J jnl
SpecTra: Enhancing the Code Translation Ability of Language Models by Generating Multi-Modal Specifications.
CoRR
Vikram Nitin, Baishakhi Ray
2024 A* conf
Using AI to Automate the Modernization of Legacy Software Applications.
ASE
Vikram Nitin
2024 J jnl
Yuga: Automatically Detecting Lifetime Annotation Bugs in the Rust Language.
IEEE Trans. Software Eng.
Vikram Nitin, Anne Mulhern, Sanjay Arora, Baishakhi Ray
2023 J jnl
Yuga: Automatically Detecting Lifetime Annotation Bugs in the Rust Language.
CoRR
Vikram Nitin, Anne Mulhern, Sanjay Arora, Baishakhi Ray
2022 A* conf
CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture.
ASE
Vikram Nitin, Shubhi Asthana, Baishakhi Ray, Rahul Krishna
2022 J jnl
CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture.
CoRR
Vikram Nitin, Shubhi Asthana, Baishakhi Ray, Rahul Krishna
2020 A* conf
Composition-based Multi-Relational Graph Convolutional Networks.
ICLR
Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Partha P. Talukdar
2020 A* conf
InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions.
AAAI
Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha P. Talukdar
2020 — conf
Multitask Learning Strengthens Adversarial Robustness.
ECCV (2)
Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick
2020 J jnl
Multitask Learning Strengthens Adversarial Robustness.
CoRR
Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick
2020 A conf
NHP: Neural Hypergraph Link Prediction.
CIKM
Naganand Yadati, Vikram Nitin, Madhav Nimishakavi, Prateek Yadav, Anand Louis, Partha P. Talukdar
2019 J jnl
Composition-based Multi-Relational Graph Convolutional Networks.
CoRR
Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Partha P. Talukdar
2019 A* conf
HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs.
NeurIPS
Naganand Yadati, Madhav Nimishakavi, Prateek Yadav, Vikram Nitin, Anand Louis, Partha P. Talukdar
2019 J jnl
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions.
CoRR
Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha P. Talukdar