Multisketches: Practical Secure Sketches Using Off-the-Shelf Biometric Matching Algorithms. - Rahul Chatterjee 001; M. Sadegh Riazi; Tanmoy Chowdhury; Emanuela Marasco; Farinaz Koushanfar; Ari Juels (IACR Cryptol. ePrint Arch., 2019)

RAPTA: A Hierarchical Representation Learning Solution For Real-Time Prediction of Path-Based Static Timing Analysis. - Tanmoy Chowdhury; Ashkan Vakil; Banafsheh Saber Latibari; Sayed Aresh Beheshti-Shirazi; Ali Mirzaeian; Xiaojie Guo 002; Sai Manoj P. D.; Houman Homayoun; Ioannis Savidis; Liang Zhao 002; Avesta Sasan (ACM Great Lakes Symposium on VLSI, 2022)

DeepGAR: Deep Graph Learning for Analogical Reasoning. - Chen Ling 003; Tanmoy Chowdhury; Junji Jiang; Junxiang Wang; Xuchao Zhang; Haifeng Chen; Liang Zhao 002 (ICDM, 2022)

Knowledge-enhanced Neural Machine Reasoning: A Review. - Tanmoy Chowdhury; Chen Ling 003; Xuchao Zhang; Xujiang Zhao; Guangji Bai; Jian Pei 001; Haifeng Chen; Liang Zhao 002 (CoRR, 2023)

Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models. - Chen Ling 003; Xujiang Zhao; Jiaying Lu 001; Chengyuan Deng; Can Zheng; Junxiang Wang; Tanmoy Chowdhury; Yun Li 005; Hejie Cui; Xuchao Zhang; Tianjiao Zhao; Amit Panalkar; et al. (CoRR, 2023)

Modeling Health Stage Development of Patients With Dynamic Attributed Graphs in Online Health Communities. - Yuyang Gao; Tanmoy Chowdhury; Lingfei Wu 001; Liang Zhao 002 (IEEE Trans. Knowl. Data Eng., 2023)

MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization. - Nguyen Hoang Khoi Do; Tanmoy Chowdhury; Chen Ling 003; Liang Zhao 002; My T. Thai (AISTATS, 2024)

Source Localization for Cross Network Information Diffusion. - Chen Ling 003; Tanmoy Chowdhury; Jie Ji; Sirui Li; Andreas Züfle; Liang Zhao 002 (KDD, 2024)

MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization. - Nguyen Do; Tanmoy Chowdhury; Chen Ling 003; Liang Zhao 002; My T. Thai (CoRR, 2024)

Deep graph representation learning influence maximization with accelerated inference. - Tanmoy Chowdhury; Chen Ling 003; Junji Jiang; Junxiang Wang; My T. Thai; Liang Zhao 002 (Neural Networks, 2024)

Deep Multi-Task Learning for Spatio-Temporal Incomplete Qualitative Event Forecasting. - Tanmoy Chowdhury; Yuyang Gao; Liang Zhao 002 (IEEE Trans. Knowl. Data Eng., 2024)

Sustainable Business Model Patterns in 6G Visions. - Seppo Yrjölä; Marja Matinmikko-Blue; Tanmoy Chowdhury (EuCNC/6G Summit, 2025)