Dionysius: A Framework for Modeling Hierarchical User Interactions in Recommender Systems. - Jian Wang; Krishnaram Kenthapadi; Kaushik Rangadurai; David Hardtke (CoRR, 2017)

Que2Search: Fast and Accurate Query and Document Understanding for Search at Facebook. - Yiqun Liu 006; Kaushik Rangadurai; Yunzhong He; Siddarth Malreddy; Xunlong Gui; Xiaoyi Liu; Fedor Borisyuk (KDD, 2021)

VisRel: Media Search at Scale. - Fedor Borisyuk; Siddarth Malreddy; Jun Mei; Yiqun Liu 006; Xiaoyi Liu; Piyush Maheshwari; Anthony Bell; Kaushik Rangadurai (KDD, 2021)

NxtPost: User To Post Recommendations In Facebook Groups. - Kaushik Rangadurai; Yiqun Liu 006; Siddarth Malreddy; Xiaoyi Liu; Piyush Maheshwari; Vishwanath Sangale; Fedor Borisyuk (KDD, 2022)

A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale. - Hao-Jun Michael Shi; Tsung-Hsien Lee; Shintaro Iwasaki; Jose Gallego-Posada; Zhijing Li 001; Kaushik Rangadurai; Dheevatsa Mudigere; Michael Rabbat (CoRR, 2023)

Beyond Self-Consistency: Loss-Balanced Perturbation-Based Regularization Improves Industrial-Scale Ads Ranking. - Ilqar Ramazanli; Hamid Eghbalzadeh; Xiaoyi Liu; Yang Wang; Kaushik Rangadurai; Sem Park; Bo Long; Xue Feng (ICKG, 2024)

Beyond Self-Consistency: Loss-Balanced Perturbation-Based Regularization Improves Industrial-Scale Ads Ranking. - Ilqar Ramazanli; Hamid Eghbalzadeh; Xiaoyi Liu; Yang Wang; Jiaxiang Fu; Kaushik Rangadurai; Sem Park; Bo Long; Xue Feng (CoRR, 2025)

Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID. - Carolina Zheng; Minhui Huang; Dmitrii Pedchenko; Kaushik Rangadurai; Siyu Wang; Gaby Nahum; Jie Lei; Yang Yang; Tao Liu; Zutian Luo; Xiaohan Wei; Dinesh Ramasamy; et al. (CoRR, 2025)