Vijay Lingam - RankMe

19 papers A* 3A 2Misc 2Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Enhancing Language Model Agents using Diversity of Thoughts. ICLR Vijay Lingam, Behrooz Omidvar-Tehrani, Sujay Sanghavi, Gaurav Gupta, Sayan Ghosh, Linbo Liu, Jun Huan, Anoop Deoras
2025	J	`jnl`	MURPHY: Multi-Turn GRPO for Self Correcting Code Generation. CoRR Chanakya Ekbote, Vijay Lingam, Behrooz Omidvar-Tehrani, Jun Huan, Sujay Sanghavi, Anoop Deoras, Stefano Soatto
2024	A*	`conf`	Rethinking Label Poisoning for GNNs: Pitfalls and Attacks. ICLR Vijay Lingam, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski
2024	A*	`conf`	SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors. NeurIPS Vijay Lingam, Atula Neerkaje, Aditya Vavre, Aneesh Shetty, Gautham Krishna Gudur, Joydeep Ghosh, Eunsol Choi, Alex Dimakis, Aleksandar Bojchevski, Sujay Sanghavi
2024	J	`jnl`	SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors. CoRR Vijay Lingam, Atula Tejaswi, Aditya Vavre, Aneesh Shetty, Gautham Krishna Gudur, Joydeep Ghosh, Alex Dimakis, Eunsol Choi, Aleksandar Bojchevski, Sujay Sanghavi
2023	A	`conf`	Probing Graph Representations. AISTATS Mohammad Sadegh Akhondzadeh, Vijay Lingam, Aleksandar Bojchevski
2023	J	`jnl`	Probing Graph Representations. CoRR Mohammad Sadegh Akhondzadeh, Vijay Lingam, Aleksandar Bojchevski
2022	—	`conf`	A Piece-Wise Polynomial Filtering Approach for Graph Neural Networks. ECML/PKDD (2) Vijay Lingam, Manan Sharma, Chanakya Ekbote, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam
2021	J	`jnl`	A Piece-wise Polynomial Filtering Approach for Graph Neural Networks. CoRR Vijay Lingam, Chanakya Ekbote, Manan Sharma, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam
2021	J	`jnl`	Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks. CoRR Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam
2021	J	`jnl`	GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks. CoRR Vijay Lingam, Arun Iyer, Rahul Ragesh
2021	A	`conf`	HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification. WSDM Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam
2021	J	`jnl`	Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs. CoRR Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam
2021	J	`jnl`	User Embedding based Neighborhood Aggregation Method for Inductive Recommendation. CoRR Rahul Ragesh, Sundararajan Sellamanickam, Vijay Lingam, Arun Iyer, Ramakrishna Bairi
2020	J	`jnl`	A Graph Convolutional Network Composition Framework for Semi-supervised Classification. CoRR Rahul Ragesh, Sundararajan Sellamanickam, Vijay Lingam, Arun Iyer
2020	J	`jnl`	HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification. CoRR Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam
2019	Misc	`conf`	ALT: towards automating driver license testing using smartphones. SenSys Akshay Uttama Nambi, Ishit Mehta, Anurag Ghosh, Vijay Lingam, Venkata N. Padmanabhan
2019	Misc	`conf`	Smartphone-based driver license testing: demo abstract. SenSys Anurag Ghosh, Vijay Lingam, Ishit Mehta, Akshay Uttama Nambi, Venkata N. Padmanabhan, Satish Sangameswaran
2018	J	`jnl`	Deep learning for conflicting statements detection in text. PeerJ Prepr. Vijay Lingam, Simran Bhuria, Mayukh Nair, Divij Gurpreetsingh, Anjali Goyal, Ashish Sureka