| Project success prediction in crowdfunding environments Y Li, V Rakesh, CK Reddy Proceedings of the Ninth ACM International Conference on Web Search and Data …, 2016 | 126 | 2016 |
| Project recommendation using heterogeneous traits in crowdfunding V Rakesh, J Choo, CK Reddy Proceedings of the International AAAI Conference on Web and Social Media 9 …, 2015 | 88 | 2015 |
| Probabilistic group recommendation model for crowdfunding domains V Rakesh, WC Lee, CK Reddy Proceedings of the ninth ACM international conference on web search and data …, 2016 | 86 | 2016 |
| Personalized recommendation of twitter lists using content and network information V Rakesh, D Singh, B Vinzamuri, CK Reddy Proceedings of the International AAAI Conference on Web and Social Media 8 …, 2014 | 57 | 2014 |
| Linked causal variational autoencoder for inferring paired spillover effects V Rakesh, R Guo, R Moraffah, N Agarwal, H Liu Proceedings of the 27th ACM International Conference on Information and …, 2018 | 36 | 2018 |
| Probabilistic social sequential model for tour recommendation V Rakesh, N Jadhav, A Kotov, CK Reddy Proceedings of the Tenth ACM International Conference on Web Search and Data …, 2017 | 36 | 2017 |
| Location-specific tweet detection and topic summarization in twitter V Rakesh, CK Reddy, D Singh, R MS Proceedings of the 2013 IEEE/ACM International Conference on Advances in …, 2013 | 29* | 2013 |
| Linked variational autoencoders for inferring substitutable and supplementary items V Rakesh, S Wang, K Shu, H Liu Proceedings of the twelfth acm international conference on web search and …, 2019 | 28 | 2019 |
| A sparse topic model for extracting aspect-specific summaries from online reviews V Rakesh, W Ding, A Ahuja, N Rao, Y Sun, CK Reddy Proceedings of the 2018 World Wide Web Conference, 1573-1582, 2018 | 27 | 2018 |
| Geographical latent variable models for microblog retrieval A Kotov, V Rakesh, E Agichtein, CK Reddy Advances in Information Retrieval: 37th European Conference on IR Research …, 2015 | 14 | 2015 |
| A study of reddit-user's response to rape NS Kamarudin, V Rakesh, G Beigi, L Manikouda, H Liu 2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018 | 12 | 2018 |
| Document-level multi-aspect sentiment classification for online reviews of medical experts T Shi, V Rakesh, S Wang, CK Reddy Proceedings of the 28th ACM International Conference on Information and …, 2019 | 11 | 2019 |
| Supervised contrastive learning for interpretable long-form document matching A Jha, V Rakesh, J Chandrashekar, A Samavedhi, CK Reddy ACM Transactions on Knowledge Discovery from Data 17 (2), 1-17, 2023 | 8 | 2023 |
| Efficacy of bayesian neural networks in active learning V Rakesh, S Jain Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 8 | 2021 |
| SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction X Li, Y Wu, V Rakesh, Y Lin, H Yang, F Wang Proceedings of the 31st ACM International Conference on Information …, 2022 | 4 | 2022 |
| Matrix completion in the unit hypercube via structured matrix factorization E Bugliarello, S Jain, V Rakesh arXiv preprint arXiv:1905.12881, 2019 | 4 | 2019 |
| User Modeling and Churn Prediction in Over-the-top Media Services V Rakesh, A Pudiyavitil, J Chandrashekar ORSUM workshop at 14th ACM Conference on Recommender Systems, 2020 | 1 | 2020 |
| Probabilistic Personalized Recommendation Models For Heterogeneous Social Data VR Mohan Wayne State University, 2017 | 1 | 2017 |
| Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis A Jha, A Samavedhi, V Rakesh, J Chandrashekar, CK Reddy arXiv preprint arXiv:2302.03765, 2023 | | 2023 |
| bigg2vec: Fast and Memory-Efficient Representation Learning for Billion-Scale Graphs on a Single Machine M Bendre, M Das, V Rakesh, F Wang, H Yang 2022 IEEE International Conference on Big Data (Big Data), 835-843, 2022 | | 2022 |
Chandan K. ReddyProfessor, Computer Science, Virginia TechPotvrđena adresa e-pošte na cs.vt.edu
