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Vijay Lingam
Observed name:
Lingam, Vijay
Institutions:
Amazon (United States),
University of California San Diego
Observed institutions:
Microsoft (United States),
Amazon (United States),
Ashoka University,
University of California San Diego,
Microsoft Research (India),
Helmholtz Center for Information Security
show all 6
OpenAlex ID:
A5057449678
HeteGCN
2021
·
Rahul Ragesh
, Sundararajan Sellamanickam
, et al.
·
ACM International Conference on Web Search and Data Mining (WSDM)
·
107
PDF
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors
2024
·
Vijay Lingam
, Atula Tejaswi
, et al.
·
neural information processing systems
·
22
PDF
Reward-Gated On-Policy Distillation
2026
·
Akhondzadeh, Mohammad Sadegh
, Lingam, Vijay
, et al.
·
arXiv (Cornell University)
·
21
PDF
ALT
2019
·
Akshay Uttama Nambi
, Ishit Mehta
, et al.
·
ACM Conference on Embedded Networked Sensor Systems (SenSys)
·
14
MURPHY: Feedback-Aware GRPO with Retrospective Credit Assignment for Multi-Turn Code Generation
2025
·
Ekbote, Chanakya
, Lingam, Vijay
, et al.
·
arXiv (Cornell University)
·
10
PDF
Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs
2021
·
Lingam, Vijay
, Ragesh, Rahul
, et al.
·
arXiv (Cornell University)
·
9
PDF
Deep learning for conflicting statements detection in text
2018
·
Vijay Lingam
, Simran Bhuria
, et al.
·
7
A Piece-Wise Polynomial Filtering Approach for Graph Neural Networks
2023
·
Vijay Lingam
, Manan Sharma
, et al.
·
Lecture notes in computer science
·
6
PDF
Deep learning for conflicting statements detection in text
2018
·
Vijay Lingam
, Simran Bhuria
, et al.
·
5
Probing Graph Representations
2023
·
Akhondzadeh, Mohammad Sadegh
, Lingam, Vijay
, et al.
·
arXiv (Cornell University)
·
3
PDF
GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks
2021
·
Lingam, Vijay
, Iyer, Arun
, et al.
·
arXiv (Cornell University)
·
3
PDF
User Embedding based Neighborhood Aggregation Method for Inductive Recommendation
2021
·
Ragesh, Rahul
, Sellamanickam, Sundararajan
, et al.
·
arXiv (Cornell University)
·
3
PDF
A Graph Convolutional Network Composition Framework for Semi-supervised Classification
2020
·
Ragesh, Rahul
, Sellamanickam, Sundararajan
, et al.
·
arXiv (Cornell University)
·
3
PDF
AHEAD: Adaptive Hindsight with Environment-Augmented Distillation for Agentic RL
2026
·
Jin, Xiaolong
, Wang, Dingmin
, et al.
·
arXiv (Cornell University)
·
2
PDF
ALT towards automating driver license testing using smartphones
2019
·
Nambi Akshay Uttama
, Ishit Mehta
, et al.
·
ACM Proceedings
·
1
Projected Distillation: On Learning to Solve Hard Problems from Close, Correct Targets
2026
·
Deshmukh, Shripad V.
, Bock, Christian
, et al.
·
arXiv (Cornell University)
PDF
Reward-Aligned Distillation
2026
·
Chen, Yilan
, Su, Zian
, et al.
·
arXiv (Cornell University)
PDF
Token Utility for On-Policy Distillation via Local Trust-Region Optimization
2026
·
Sadagopan, Narayanan
, Chen, Yilan
, et al.
·
arXiv (Cornell University)
PDF
SCATR: Simple Calibrated Test-Time Ranking
2026
·
Shyamal, Divya
, Knežević, Marta
, et al.
·
arXiv (Cornell University)
PDF
ExecTune: Effective Steering of Black-Box LLMs with Guide Models
2026
·
Lingam, Vijay
, Golatkar, Aditya
, et al.
·
arXiv (Cornell University)
PDF
Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks
2021
·
Lingam, Vijay
, Ragesh, Rahul
, et al.
·
arXiv (Cornell University)
PDF
Smartphone-based driver license testing
2019
·
Anurag Ghosh
, Vijay Lingam
, et al.
Smartphone-based driver license testing
2019
·
Anurag Ghosh
, Vijay Lingam
, et al.
·
ACM Conference on Embedded Networked Sensor Systems (SenSys)
Dataset for Conflicting Statements Detection in Text
2018
·
Lingam, Vijay
, Simran Bhuria
, et al.
·
Figshare
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Works count:
24
Citation count:
216
H-index:
7
I10-index:
5
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