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Author

Vineeth Rakesh

Observed name: Rakesh, Vineeth
Observed institutions: Visa (United Kingdom), Wayne State University, InterDigital (United States), Visa (United States), Technicolor (United States), Arizona State University
ORCID: 0000-0001-7586-0257
Observed ORCID: 0000-0001-7586-0257
OpenAlex ID: A5000202397
Project Success Prediction in Crowdfunding Environments
2016 · Yan Li, Vineeth Rakesh, et al. · ACM International Conference on Web Search and Data Mining (WSDM) · 106
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Probabilistic Group Recommendation Model for Crowdfunding Domains
2016 · Vineeth Rakesh, Wang-Chien Lee, et al. · ACM International Conference on Web Search and Data Mining (WSDM) · 70
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Project Recommendation Using Heterogeneous Traits in Crowdfunding
2021 · Vineeth Rakesh, Jaegul Choo, et al. · Proceedings of the International AAAI Conference on Web and Social Media · 53
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MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation
2025 · Chia-Yuan Chang, Zhimeng Jiang, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 42
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Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects
2018 · Vineeth Rakesh, Ruocheng Guo, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 38
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Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items
2019 · Vineeth Rakesh, Suhang Wang, et al. · ACM International Conference on Web Search and Data Mining (WSDM) · 34
Personalized Recommendation of Twitter Lists using Content and Network Information
2014 · Vineeth Rakesh, Dilpreet Singh, et al. · Proceedings of the International AAAI Conference on Web and Social Media · 34
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Probabilistic Social Sequential Model for Tour Recommendation
2017 · Vineeth Rakesh, Niranjan Jadhav, et al. · ACM International Conference on Web Search and Data Mining (WSDM) · 29
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Location-specific tweet detection and topic summarization in Twitter
2013 · Vineeth Rakesh, Chandan K. Reddy, et al. · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · 25
A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews
2018 · Vineeth Rakesh, Weicong Ding, et al. · International World Wide Web Conference (WWW) · 22
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Supervised Contrastive Learning for Interpretable Long-Form Document Matching
2022 · Akshita Jha, Vineeth Rakesh, et al. · ACM Transactions on Knowledge Discovery from Data · 15
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Efficacy of Bayesian Neural Networks in Active Learning
2021 · Vineeth Rakesh, Swayambhoo Jain · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 13
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Geographical Latent Variable Models for Microblog Retrieval
2015 · Alexander Kotov, Vineeth Rakesh, et al. · Lecture notes in computer science · 8
Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts
2019 · Tian Shi, Vineeth Rakesh, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 7
A Study of Reddit-User's Response to Rape
2018 · Nur Shazwani Kamarudin, Vineeth Rakesh, et al. · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · 6
Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis
2023 · Akshita Jha, Adithya Samavedhi, et al. · Findings of the Association for Computational Linguistics: EACL · 4
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SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction
2022 · Xiaoting Li, Yuhang Wu, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 4
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SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression
2026 · Yiqiao Jin, Kartik Sharma, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 2
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MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation
2024 · Chang, Chia-Yuan, Jiang, Zhimeng, et al. · arXiv (Cornell University) · 1
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Supervised Contrastive Learning for Interpretable Long Document Comparison.
2021 · Akshita Jha, Vineeth Rakesh, et al. · arXiv (Cornell University) · 1
SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression
2026 · Association for Computational Linguistics 2026, Das, Mahashweta, et al. · Underline Science Inc.
TREASURE: A Transformer-Based Foundation Model for High-Volume Transaction Understanding
2026 · Chin-Chia Michael Yeh, Uday Singh Saini, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
TREASURE: The Visa Payment Foundation Model for High-Volume Transaction Understanding
2025 · Yeh, Chin-Chia Michael, Saini, Uday Singh, et al. · arXiv (Cornell University)
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TransactionGPT
2025 · Dou, Yingtong, Jiang, Zhimeng, et al. · arXiv (Cornell University)
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bigg2vec: Fast and Memory-Efficient Representation Learning for Billion-Scale Graphs on a Single Machine
2022 · Mangesh Bendre, Mahashweta Das, et al. · IEEE International Conference on Big Data (BigData)
Works count: 33
Citation count: 514
H-index: 12
I10-index: 12
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