Neural Pooling for Graph Neural Networks. - Sai Sree Harsha; Deepak Mishra 002 (PReMI, 2021)

LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity. - Tejan Karmali; Abhinav Atrishi; Sai Sree Harsha; Susmit Agrawal; Varun Jampani; R. Venkatesh Babu (WACV, 2022)

GenVideo: One-shot target-image and shape aware video editing using T2I diffusion models. - Sai Sree Harsha; Ambareesh Revanur; Dhwanit Agarwal; Shradha Agrawal (CVPR Workshops, 2024)

RETAIN: Interactive Tool for Regression Testing Guided LLM Migration. - Tanay Dixit; Daniel Lee; Sally Fang; Sai Sree Harsha; Anirudh Sureshan; Akash Maharaj; Yunyao Li 001 (CoRR, 2024)

Enhancing Discoverability in Enterprise Conversational Systems with Proactive Question Suggestions. - Xiaobin Shen 002; Daniel Lee; Sumit Ranjan; Sai Sree Harsha; Pawan Sevak; Yunyao Li 001 (CoRR, 2024)

Federated Retrieval Augmented Generation for Multi-Product Question Answering. - Parshin Shojaee; Sai Sree Harsha; Dan Luo; Akash Maharaj; Tong Yu 001; Yunyao Li 001 (COLING (Industry), 2025)

MuRAR: A Simple and Effective Multimodal Retrieval and Answer Refinement Framework for Multimodal Question Answering. - Zhengyuan Zhu; Daniel Lee; Hong Zhang; Sai Sree Harsha; Loic Feujio; Akash Maharaj; Yunyao Li 001 (COLING (Demonstrations), 2025)