Tanmoy Chowdhury

16 papers A* 3A 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey.
ACM Comput. Surv.
Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Dhagash Mehta, Stefano Pasquali, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Jian Pei, Carl Yang, Liang Zhao
2025 — conf
Sustainable Business Model Patterns in 6G Visions.
EuCNC/6G Summit
Seppo Yrjölä, Marja Matinmikko-Blue, Tanmoy Chowdhury
2024 J jnl
Deep Multi-Task Learning for Spatio-Temporal Incomplete Qualitative Event Forecasting.
IEEE Trans. Knowl. Data Eng.
Tanmoy Chowdhury, Yuyang Gao, Liang Zhao
2024 J jnl
Deep graph representation learning influence maximization with accelerated inference.
Neural Networks
Tanmoy Chowdhury, Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Liang Zhao
2024 A conf
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization.
AISTATS
Nguyen Hoang Khoi Do, Tanmoy Chowdhury, Chen Ling, Liang Zhao, My T. Thai
2024 J jnl
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization.
CoRR
Nguyen Do, Tanmoy Chowdhury, Chen Ling, Liang Zhao, My T. Thai
2024 A* conf
Source Localization for Cross Network Information Diffusion.
KDD
Chen Ling, Tanmoy Chowdhury, Jie Ji, Sirui Li, Andreas Züfle, Liang Zhao
2024 J jnl
Source Localization for Cross Network Information Diffusion.
CoRR
Chen Ling, Tanmoy Chowdhury, Jie Ji, Sirui Li, Andreas Züfle, Liang Zhao
2023 J jnl
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models.
CoRR
Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Carl Yang, Liang Zhao
2023 J jnl
Knowledge-enhanced Neural Machine Reasoning: A Review.
CoRR
Tanmoy Chowdhury, Chen Ling, Xuchao Zhang, Xujiang Zhao, Guangji Bai, Jian Pei, Haifeng Chen, Liang Zhao
2023 J jnl
Modeling Health Stage Development of Patients With Dynamic Attributed Graphs in Online Health Communities.
IEEE Trans. Knowl. Data Eng.
Yuyang Gao, Tanmoy Chowdhury, Lingfei Wu, Liang Zhao
2022 A* conf
DeepGAR: Deep Graph Learning for Analogical Reasoning.
ICDM
Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao
2022 J jnl
DeepGAR: Deep Graph Learning for Analogical Reasoning.
CoRR
Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao
2022 — conf
RAPTA: A Hierarchical Representation Learning Solution For Real-Time Prediction of Path-Based Static Timing Analysis.
ACM Great Lakes Symposium on VLSI
Tanmoy Chowdhury, Ashkan Vakil, Banafsheh Saber Latibari, Sayed Aresh Beheshti-Shirazi, Ali Mirzaeian, Xiaojie Guo, Sai Manoj P. D., Houman Homayoun, Ioannis Savidis, Liang Zhao, Avesta Sasan
2019 A* conf
Multisketches: Practical Secure Sketches Using Off-the-Shelf Biometric Matching Algorithms.
CCS
Rahul Chatterjee, M. Sadegh Riazi, Tanmoy Chowdhury, Emanuela Marasco, Farinaz Koushanfar, Ari Juels
2019 J jnl
Multisketches: Practical Secure Sketches Using Off-the-Shelf Biometric Matching Algorithms.
IACR Cryptol. ePrint Arch.
Rahul Chatterjee, M. Sadegh Riazi, Tanmoy Chowdhury, Emanuela Marasco, Farinaz Koushanfar, Ari Juels