Vineeth Rakesh

36 papers A* 3A 10B 3Journal 14Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	TREASURE: A Transformer-Based Foundation Model for High-Volume Transaction Understanding. KDD (1) 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	—	`conf`	MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation. ACL (1) 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
2025	J	`jnl`	MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation. CoRR 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
2025	J	`jnl`	Personalized Layer Selection for Graph Neural Networks. CoRR Kartik Sharma, Vineeth Rakesh, Yingtong Dou, Srijan Kumar, Mahashweta Das
2025	J	`jnl`	Personalized Layer Selection for Graph Neural Networks. Trans. Mach. Learn. Res. Kartik Sharma, Vineeth Rakesh, Yingtong Dou, Srijan Kumar, Mahashweta Das
2025	J	`jnl`	SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression. CoRR Yiqiao Jin, Kartik Sharma, Vineeth Rakesh, Yingtong Dou, Menghai Pan, Mahashweta Das, Srijan Kumar
2025	J	`jnl`	Sysformer: Safeguarding Frozen Large Language Models with Adaptive System Prompts. CoRR Kartik Sharma, Yiqiao Jin, Vineeth Rakesh, Yingtong Dou, Menghai Pan, Mahashweta Das, Srijan Kumar
2025	J	`jnl`	TREASURE: A Transformer-Based Foundation Model for High-Volume Transaction Understanding. CoRR 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	J	`jnl`	TransactionGPT. CoRR Yingtong Dou, Zhimeng Jiang, Tianyi Zhang, Mingzhi Hu, Zhichao Xu, Shubham Jain, Uday Singh Saini, Xiran Fan, Jiarui Sun, Menghai Pan, Junpeng Wang, Xin Dai, Liang Wang, Chin-Chia Michael Yeh, Yujie Fan, Vineeth Rakesh, Huiyuan Chen, Mangesh Bendre, Zhongfang Zhuang, Xiaoting Li, Prince Osei Aboagye, Vivian Lai, Minghua Xu, Hao Yang, Yiwei Cai, Mahashweta Das, Yuzhong Chen
2024	A*	`conf`	TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules. ICML Weijieying Ren, Xiaoting Li, Huiyuan Chen, Vineeth Rakesh, Zhuoyi Wang, Mahashweta Das, Vasant G. Honavar
2023	J	`jnl`	Supervised Contrastive Learning for Interpretable Long-Form Document Matching. ACM Trans. Knowl. Discov. Data Akshita Jha, Vineeth Rakesh, Jaideep Chandrashekar, Adithya Samavedhi, Chandan K. Reddy
2023	—	`conf`	Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis. EACL (Findings) Akshita Jha, Adithya Samavedhi, Vineeth Rakesh, Jaideep Chandrashekar, Chandan K. Reddy
2023	J	`jnl`	Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis. CoRR Akshita Jha, Adithya Samavedhi, Vineeth Rakesh, Jaideep Chandrashekar, Chandan K. Reddy
2022	J	`jnl`	SMARTQUERY: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction. CoRR Xiaoting Li, Yuhang Wu, Vineeth Rakesh, Yusan Lin, Hao Yang, Fei Wang
2022	A	`conf`	SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction. CIKM Xiaoting Li, Yuhang Wu, Vineeth Rakesh, Yusan Lin, Hao Yang, Fei Wang
2022	B	`conf`	bigg2vec: Fast and Memory-Efficient Representation Learning for Billion-Scale Graphs on a Single Machine. IEEE Big Data Mangesh Bendre, Mahashweta Das, Vineeth Rakesh, Fei Wang, Hao Yang
2021	—	`conf`	Efficacy of Bayesian Neural Networks in Active Learning. CVPR Workshops Vineeth Rakesh, Swayambhoo Jain
2021	J	`jnl`	Efficacy of Bayesian Neural Networks in Active Learning. CoRR Vineeth Rakesh, Swayambhoo Jain
2021	J	`jnl`	Supervised Contrastive Learning for Interpretable Long Document Comparison. CoRR Akshita Jha, Vineeth Rakesh, Jaideep Chandrashekar, Adithya Samavedhi, Chandan K. Reddy
2020	—	`conf`	User Modeling and Churn Prediction in Over-the-top Media Services. ORSUM@RecSys Vineeth Rakesh, Ajith Pudiyavitil, Jaideep Chandrashekar
2019	A	`conf`	Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts. CIKM Tian Shi, Vineeth Rakesh, Suhang Wang, Chandan K. Reddy
2019	—	`ch.`	Feature Learning from Social Graphs. Encyclopedia of Big Data Technologies Vineeth Rakesh, Lei Tang, Huan Liu
2019	A	`conf`	Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items. WSDM Vineeth Rakesh, Suhang Wang, Kai Shu, Huan Liu
2019	A*	`conf`	Matrix Completion in the Unit Hypercube via Structured Matrix Factorization. IJCAI Emanuele Bugliarello, Swayambhoo Jain, Vineeth Rakesh
2019	J	`jnl`	Matrix Completion in the Unit Hypercube via Structured Matrix Factorization. CoRR Emanuele Bugliarello, Swayambhoo Jain, Vineeth Rakesh
2018	A*	`conf`	A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews. WWW Vineeth Rakesh, Weicong Ding, Aman Ahuja, Nikhil Rao, Yifan Sun, Chandan K. Reddy
2018	B	`conf`	A Study of Reddit-User's Response to Rape. ASONAM Nur Shazwani Kamarudin, Vineeth Rakesh, Ghazaleh Beigi, Lydia Manikonda, Huan Liu
2018	A	`conf`	Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects. CIKM Vineeth Rakesh, Ruocheng Guo, Raha Moraffah, Nitin Agarwal, Huan Liu
2018	J	`jnl`	Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects. CoRR Vineeth Rakesh, Ruocheng Guo, Raha Moraffah, Nitin Agarwal, Huan Liu
2017	A	`conf`	Probabilistic Social Sequential Model for Tour Recommendation. WSDM Vineeth Rakesh, Niranjan Jadhav, Alexander Kotov, Chandan K. Reddy
2016	A	`conf`	Probabilistic Group Recommendation Model for Crowdfunding Domains. WSDM Vineeth Rakesh, Wang-Chien Lee, Chandan K. Reddy
2016	A	`conf`	Project Success Prediction in Crowdfunding Environments. WSDM Yan Li, Vineeth Rakesh, Chandan K. Reddy
2015	A	`conf`	Geographical Latent Variable Models for Microblog Retrieval. ECIR Alexander Kotov, Vineeth Rakesh, Eugene Agichtein, Chandan K. Reddy
2015	A	`conf`	Project Recommendation Using Heterogeneous Traits in Crowdfunding. ICWSM Vineeth Rakesh, Jaegul Choo, Chandan K. Reddy
2014	A	`conf`	Personalized Recommendation of Twitter Lists using Content and Network Information. ICWSM Vineeth Rakesh, Dilpreet Singh, Bhanukiran Vinzamuri, Chandan K. Reddy
2013	B	`conf`	Location-specific tweet detection and topic summarization in Twitter. ASONAM Vineeth Rakesh, Chandan K. Reddy, Dilpreet Singh, Ramachandran M. S.