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2020 – today
- 2026
[c6]Dongqi Fu, Kaushik Rangadurai, Haiyu Lu, Yunchen Pu, Siyang Yuan, Minhui Huang, Yiqun Liu, Golnaz Ghasemiesfeh, Xingfeng He, Fangzhou Xu, Andrew Cui, Vidhoon Viswanathan, Lin Yang, Liang Wang, Jiyan Yang, Chonglin Sun:
Efficient Retrieval Scaling with Hierarchical Indexing for Large Scale Recommendation. EDBT 2026: 676-686- [i8]Mingfu Liang, Yufei Li, Jay Xu, Kavosh Asadi, Xi Liu, Shuo Gu, Kaushik Rangadurai, Frank Shyu, Shuaiwen Wang, Song Yang, Zhijing Li, Jiang Liu, Mengying Sun, Fei Tian, Xiaohan Wei, Chonglin Sun, Jacob Tao, Shike Mei, Wenlin Chen, Santanu Kolay, Sandeep Pandey, Hamed Firooz, Luke Simon:
Generative Reasoning Re-ranker. CoRR abs/2602.07774 (2026) - 2025
- [c5]Carolina Zheng
, Minhui Huang, Dmitrii Pedchenko, Kaushik Rangadurai, Siyu Wang, Fan Xia, Gaby Nahum, Jie Lei, Yang Yang, Tao Liu, Zutian Luo, Xiaohan Wei, Dinesh Ramasamy, Jiyan Yang, Yiping Han, Lin Yang, Hangjun Xu, Rong Jin, Shuang Yang:
Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID. RecSys 2025: 954-957 - [i7]Ilqar Ramazanli, Hamid Eghbalzadeh, Xiaoyi Liu, Yang Wang, Jiaxiang Fu, Kaushik Rangadurai, Sem Park, Bo Long, Xue Feng:
Beyond Self-Consistency: Loss-Balanced Perturbation-Based Regularization Improves Industrial-Scale Ads Ranking. CoRR abs/2502.18478 (2025) - [i6]Carolina Zheng, Minhui Huang, Dmitrii Pedchenko, Kaushik Rangadurai, Siyu Wang, Gaby Nahum, Jie Lei, Yang Yang, Tao Liu, Zutian Luo, Xiaohan Wei, Dinesh Ramasamy, Jiyan Yang, Yiping Han, Lin Yang, Hangjun Xu, Rong Jin, Shuang Yang:
Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID. CoRR abs/2504.02137 (2025) - [i5]Juncheng Dong, Yang Yang, Tao Liu, Yang Wang, Feng Qi, Vahid Tarokh, Kaushik Rangadurai, Shuang Yang:
STARK: Strategic Team of Agents for Refining Kernels. CoRR abs/2510.16996 (2025) - [i4]Zhuowen Yuan, Tao Liu, Yang Yang, Yang Wang, Feng Qi, Kaushik Rangadurai, Bo Li, Shuang Yang:
ArchPilot: A Proxy-Guided Multi-Agent Approach for Machine Learning Engineering. CoRR abs/2511.03985 (2025) - 2024
- [c4]Ilqar Ramazanli, Hamid Eghbalzadeh, Xiaoyi Liu, Yang Wang, Kaushik Rangadurai, Sem Park, Bo Long, Xue Feng:
Beyond Self-Consistency: Loss-Balanced Perturbation-Based Regularization Improves Industrial-Scale Ads Ranking. ICKG 2024: 93-101 - 2023
- [i3]Hao-Jun Michael Shi, Tsung-Hsien Lee, Shintaro Iwasaki, Jose Gallego-Posada, Zhijing Li, Kaushik Rangadurai, Dheevatsa Mudigere, Michael Rabbat:
A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale. CoRR abs/2309.06497 (2023) - 2022
- [c3]Kaushik Rangadurai, Yiqun Liu, Siddarth Malreddy, Xiaoyi Liu, Piyush Maheshwari, Vishwanath Sangale, Fedor Borisyuk:
NxtPost: User To Post Recommendations In Facebook Groups. KDD 2022: 3792-3800 - [i2]Kaushik Rangadurai, Yiqun Liu, Siddarth Malreddy, Xiaoyi Liu, Piyush Maheshwari, Vishwanath Sangale, Fedor Borisyuk:
NxtPost: User to Post Recommendations in Facebook Groups. CoRR abs/2202.03645 (2022) - 2021
- [c2]Fedor Borisyuk, Siddarth Malreddy, Jun Mei, Yiqun Liu, Xiaoyi Liu, Piyush Maheshwari, Anthony Bell, Kaushik Rangadurai:
VisRel: Media Search at Scale. KDD 2021: 2584-2592 - [c1]Yiqun Liu, Kaushik Rangadurai, Yunzhong He, Siddarth Malreddy, Xunlong Gui, Xiaoyi Liu, Fedor Borisyuk:
Que2Search: Fast and Accurate Query and Document Understanding for Search at Facebook. KDD 2021: 3376-3384
2010 – 2019
- 2017
- [i1]Jian Wang, Krishnaram Kenthapadi, Kaushik Rangadurai, David Hardtke:
Dionysius: A Framework for Modeling Hierarchical User Interactions in Recommender Systems. CoRR abs/1706.03849 (2017)
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