P4LLVM: An LLVM Based P4 Compiler. - Tharun Kumar Dangeti; Venkata Keerthy S; Ramakrishna Upadrasta (ICNP, 2018)

INSTRUCT: A Clustering Based Identification of Valid Communications in IoT Networks. - Mohd. Saalim Jamal; Venkata Keerthy S; Hideya Ochiai; Hiroshi Esaki; Kotaro Kataoka (IoTSMS, 2018)

IR2Vec: A Flow Analysis based Scalable Infrastructure for Program Encodings. - Venkata Keerthy S; Rohit Aggarwal; Shalini Jain 002; Maunendra Sankar Desarkar; Ramakrishna Upadrasta; Y. N. Srikant (CoRR, 2019)

Secure Gray code-based reversible data hiding scheme in radiographic images. - Karthikeyan Balasubramanian; Venkata Keerthy S; G. Hariharan (Int. J. Electron. Secur. Digit. Forensics, 2019)

IR2VEC: LLVM IR Based Scalable Program Embeddings. - S. VenkataKeerthy; Rohit Aggarwal; Shalini Jain 002; Maunendra Sankar Desarkar; Ramakrishna Upadrasta; Y. N. Srikant (ACM Trans. Archit. Code Optim., 2020)

Packet Processing Algorithm Identification using Program Embeddings. - S. VenkataKeerthy; Yashas Andaluri; Sayan Dey; Rinku Shah; Praveen Tammana; Ramakrishna Upadrasta (APNet, 2022)

POSET-RL: Phase ordering for Optimizing Size and Execution Time using Reinforcement Learning. - Shalini Jain 002; Yashas Andaluri; S. VenkataKeerthy; Ramakrishna Upadrasta (ISPASS, 2022)

Reinforcement Learning assisted Loop Distribution for Locality and Vectorization. - Shalini Jain 002; S. VenkataKeerthy; Rohit Aggarwal; Tharun Kumar Dangeti; Dibyendu Das 005; Ramakrishna Upadrasta (LLVM-HPC@SC, 2022)

RL4ReAl: Reinforcement Learning for Register Allocation. - S. VenkataKeerthy; Siddharth Jain; Rohit Aggarwal; Albert Cohen 001; Ramakrishna Upadrasta (CoRR, 2022)

RL4ReAl: Reinforcement Learning for Register Allocation. - S. VenkataKeerthy; Siddharth Jain; Anilava Kundu; Rohit Aggarwal; Albert Cohen 001; Ramakrishna Upadrasta (CC, 2023)

VEXIR2Vec: An Architecture-Neutral Embedding Framework for Binary Similarity. - S. VenkataKeerthy; Yashas Andaluri; Sayan Dey; Soumya Banerjee; Ramakrishna Upadrasta (CoRR, 2023)

The Next 700 ML-Enabled Compiler Optimizations. - S. VenkataKeerthy; Siddharth Jain; Umesh Kalvakuntla; Pranav Sai Gorantla; Rajiv Shailesh Chitale; Eugene Brevdo; Albert Cohen 001; Mircea Trofin; Ramakrishna Upadrasta (CC, 2024)

COFO: COdeFOrces dataset for Program Classification, Recognition and Tagging. - Kuldeep Gautam; S. VenkataKeerthy; Ramakrishna Upadrasta (CoRR, 2025)