Vikram Nitin - RankMe

18 papers A* 5A 1Journal 11Unranked 1

Year	Rank	Type	Title / 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