Vineeth Rakesh
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
12
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression. | Yiqiao Jin, Kartik Sharma, Vineeth Rakesh, Yingtong Dou, Menghai Pan, Mahashweta Das, Srijan Kumar |
| 2026 | KDD | TREASURE: A Transformer-Based Foundation Model for High-Volume Transaction Understanding. | Chin-Chia Michael Yeh, Uday Singh Saini, Xin Dai, Xiran Fan, Shubham Jain, Yujie Fan, Jiarui Sun, Junpeng Wang, Menghai Pan, Yingtong Dou, Yuzhong Chen, Vineeth Rakesh, Liang Wang, Yan Zheng, Mahashweta Das |
| 2025 | ACL | MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation. | Chia-Yuan Chang, Zhimeng Jiang, Vineeth Rakesh, Menghai Pan, Chin-Chia Michael Yeh, Guanchu Wang, Mingzhi Hu, Zhichao Xu, Yan Zheng, Mahashweta Das, Na Zou |
| 2024 | ICML | TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules. | Weijieying Ren, Xiaoting Li, Huiyuan Chen, Vineeth Rakesh, Zhuoyi Wang, Mahashweta Das, Vasant G. Honavar |
| 2023 | EACL | Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis. | Akshita Jha, Adithya Samavedhi, Vineeth Rakesh, Jaideep Chandrashekar, Chandan K. Reddy |
| 2022 | CIKM | SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction. | Xiaoting Li, Yuhang Wu, Vineeth Rakesh, Yusan Lin, Hao Yang, Fei Wang |
| 2021 | CVPR | Efficacy of Bayesian Neural Networks in Active Learning. | Vineeth Rakesh, Swayambhoo Jain |
| 2020 | RecSys | User Modeling and Churn Prediction in Over-the-top Media Services. | Vineeth Rakesh, Ajith Pudiyavitil, Jaideep Chandrashekar |
| 2019 | CIKM | Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts. | Tian Shi, Vineeth Rakesh, Suhang Wang, Chandan K. Reddy |
| 2019 | IJCAI | Matrix Completion in the Unit Hypercube via Structured Matrix Factorization. | Emanuele Bugliarello, Swayambhoo Jain, Vineeth Rakesh |
| 2019 | WSDM | Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items. | Vineeth Rakesh, Suhang Wang, Kai Shu, Huan Liu |
| 2018 | CIKM | Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects. | Vineeth Rakesh, Ruocheng Guo, Raha Moraffah, Nitin Agarwal, Huan Liu |
| 2018 | WWW | A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews. | Vineeth Rakesh, Weicong Ding, Aman Ahuja, Nikhil Rao, Yifan Sun, Chandan K. Reddy |
| 2017 | WSDM | Probabilistic Social Sequential Model for Tour Recommendation. | Vineeth Rakesh, Niranjan Jadhav, Alexander Kotov, Chandan K. Reddy |
| 2016 | WSDM | Project Success Prediction in Crowdfunding Environments. | Yan Li, Vineeth Rakesh, Chandan K. Reddy |
| 2016 | WSDM | Probabilistic Group Recommendation Model for Crowdfunding Domains. | Vineeth Rakesh, Wang-Chien Lee, Chandan K. Reddy |
| 2015 | ECIR | Geographical Latent Variable Models for Microblog Retrieval. | Alexander Kotov, Vineeth Rakesh, Eugene Agichtein, Chandan K. Reddy |
| 2015 | ICWSM | Project Recommendation Using Heterogeneous Traits in Crowdfunding. | Vineeth Rakesh, Jaegul Choo, Chandan K. Reddy |
| 2014 | ICWSM | Personalized Recommendation of Twitter Lists using Content and Network Information. | Vineeth Rakesh, Dilpreet Singh, Bhanukiran Vinzamuri, Chandan K. Reddy |