Location-specific tweet detection and topic summarization in Twitter. - Vineeth Rakesh; Chandan K. Reddy; Dilpreet Singh; Ramachandran M. S. (ASONAM, 2013)

Personalized Recommendation of Twitter Lists using Content and Network Information. - Vineeth Rakesh; Dilpreet Singh; Bhanukiran Vinzamuri; Chandan K. Reddy (ICWSM, 2014)

Geographical Latent Variable Models for Microblog Retrieval. - Alexander Kotov 001; Vineeth Rakesh; Eugene Agichtein; Chandan K. Reddy (ECIR, 2015)

Project Recommendation Using Heterogeneous Traits in Crowdfunding. - Vineeth Rakesh; Jaegul Choo; Chandan K. Reddy (ICWSM, 2015)

Project Success Prediction in Crowdfunding Environments. - Yan Li 052; Vineeth Rakesh; Chandan K. Reddy (WSDM, 2016)

Probabilistic Group Recommendation Model for Crowdfunding Domains. - Vineeth Rakesh; Wang-Chien Lee; Chandan K. Reddy (WSDM, 2016)

Probabilistic Social Sequential Model for Tour Recommendation. - Vineeth Rakesh; Niranjan Jadhav; Alexander Kotov 001; Chandan K. Reddy (WSDM, 2017)

A Study of Reddit-User's Response to Rape. - Nur Shazwani Kamarudin; Vineeth Rakesh; Ghazaleh Beigi; Lydia Manikonda; Huan Liu 001 (ASONAM, 2018)

Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects. - Vineeth Rakesh; Ruocheng Guo; Raha Moraffah; Nitin Agarwal 001; Huan Liu 001 (CIKM, 2018)

A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews. - Vineeth Rakesh; Weicong Ding; Aman Ahuja; Nikhil Rao 001; Yifan Sun 001; Chandan K. Reddy (WWW, 2018)

Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts. - Tian Shi; Vineeth Rakesh; Suhang Wang; Chandan K. Reddy (CIKM, 2019)

Matrix Completion in the Unit Hypercube via Structured Matrix Factorization. - Emanuele Bugliarello; Swayambhoo Jain; Vineeth Rakesh (IJCAI, 2019)

Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items. - Vineeth Rakesh; Suhang Wang; Kai Shu; Huan Liu 001 (WSDM, 2019)

Feature Learning from Social Graphs. - Vineeth Rakesh; Lei Tang 001; Huan Liu 001 (Encyclopedia of Big Data Technologies, 2019)

User Modeling and Churn Prediction in Over-the-top Media Services. - Vineeth Rakesh; Ajith Pudiyavitil; Jaideep Chandrashekar (ORSUM@RecSys, 2020)

Efficacy of Bayesian Neural Networks in Active Learning. - Vineeth Rakesh; Swayambhoo Jain (CVPR Workshops, 2021)

Supervised Contrastive Learning for Interpretable Long Document Comparison. - Akshita Jha; Vineeth Rakesh; Jaideep Chandrashekar; Adithya Samavedhi; Chandan K. Reddy (CoRR, 2021)

bigg2vec: Fast and Memory-Efficient Representation Learning for Billion-Scale Graphs on a Single Machine. - Mangesh Bendre; Mahashweta Das; Vineeth Rakesh; Fei Wang 062; Hao Yang 007 (IEEE Big Data, 2022)

SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction. - Xiaoting Li 001; Yuhang Wu 002; Vineeth Rakesh; Yusan Lin; Hao Yang 007; Fei Wang 062 (CIKM, 2022)

Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis. - Akshita Jha; Adithya Samavedhi; Vineeth Rakesh; Jaideep Chandrashekar; Chandan K. Reddy (EACL (Findings), 2023)

Supervised Contrastive Learning for Interpretable Long-Form Document Matching. - Akshita Jha; Vineeth Rakesh; Jaideep Chandrashekar; Adithya Samavedhi; Chandan K. Reddy (ACM Trans. Knowl. Discov. Data, 2023)

TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules. - Weijieying Ren; Xiaoting Li 001; Huiyuan Chen; Vineeth Rakesh; Zhuoyi Wang; Mahashweta Das; Vasant G. Honavar (ICML, 2024)

MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation. - Chia-Yuan Chang 002; Zhimeng Jiang; Vineeth Rakesh; Menghai Pan; Chin-Chia Michael Yeh; Guanchu Wang; Mingzhi Hu; Zhichao Xu; Yan Zheng 001; Mahashweta Das; Na Zou 001 (ACL (1), 2025)

Personalized Layer Selection for Graph Neural Networks. - Kartik Sharma; Vineeth Rakesh; Yingtong Dou; Srijan Kumar; Mahashweta Das (Trans. Mach. Learn. Res., 2025)

Sysformer: Safeguarding Frozen Large Language Models with Adaptive System Prompts. - Kartik Sharma; Yiqiao Jin; Vineeth Rakesh; Yingtong Dou; Menghai Pan; Mahashweta Das; Srijan Kumar (CoRR, 2025)

SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression. - Yiqiao Jin; Kartik Sharma; Vineeth Rakesh; Yingtong Dou; Menghai Pan; Mahashweta Das; Srijan Kumar (CoRR, 2025)