Ajay Krishna Vajjala

According to our database, Ajay Krishna Vajjala authored at least 6 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Using Large Language Models to Support the Workflow of Differential Testing.

Arun Krishna Vajjala, Ajay Krishna Vajjala, Carmen Badea, Christian Bird, Jade D'Souza, Robert DeLine, Mikhail O. Demyanyuk, Jason Entenmann, Nicole Forsgren, Aliaksandr Hramadski, Haris Mohammad, Sandeepan Sanyal, Oleg Surmachev, Thomas Zimmermann

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

Understanding User Behavior in Cross-Domain Recommendation: An LLM-Based Approach.

Dipak Falgun Meher, Ajay Krishna Vajjala, David S. Rosenblum

Proceedings of the International Joint Conference on Neural Networks, 2025

Enhancing Differential Testing: LLM-Powered Automation in Release Engineering.

Ajay Krishna Vajjala, Arun Krishna Vajjala, Carmen Badea, Christian Bird, Jade D'Souza, Robert DeLine, Mikhail O. Demyanyuk, Jason Entenmann, Nicole Forsgren, Aliaksandr Hramadski, Haris Mohammad, Sandeepan Sanyal, Oleg Surmachev, Thomas Zimmermann

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2025

2024

Cross-Domain Recommendation Meets Large Language Models.

Ajay Krishna Vajjala, Dipak Falgun Meher, Ziwei Zhu, David S. Rosenblum

CoRR, 2024

Vietoris-Rips Complex: A New Direction for Cross-Domain Cold-Start Recommendation.

Ajay Krishna Vajjala, Dipak Falgun Meher, Shrunal Pothagoni, Ziwei Zhu, David S. Rosenblum

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Analyzing the Impact of Domain Similarity: A New Perspective in Cross-Domain Recommendation.

Ajay Krishna Vajjala, Arun Krishna Vajjala, Ziwei Zhu, David S. Rosenblum

Proceedings of the International Joint Conference on Neural Networks, 2024