Rajat Arora

According to our database, Rajat Arora authored at least 9 papers between 2019 and 2026.

Collaborative distances:

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

2026

A Unified Structured Query Understanding Framework for Industrial Semantic Search.

Ping Liu, Qianqi Shen, Jianqiang Shen, Chunnan Yao, Kevin Kao, Rajat Arora, Dan Xu, Baofen Zheng, Yunxiang Ren, Benjamin Le, Ali Hooshmand, Igor Lapchuk, Juan Bottaro, Raghavan Muthuregunathan, Caleb Johnson, Liangjie Hong, Jingwei Wu, Wenjing Zhang

CoRR, May, 2026

Policy-Grounded Dynamic Facet Suggestions for Job Search.

Dan Xu, Baofen Zheng, Qianqi Shen, Jianqiang Shen, Wenqiong Liu, Chunnan Yao, Ping Liu, Rajat Arora, Kevin Kao, Hsiang Lin, Wanjun Jiang, Yusuke Takebuchi, Jingwei Wu, Wenjing Zhang

CoRR, May, 2026

High Fidelity Textual User Representation over Heterogeneous Sources via Reinforcement Learning.

Rajat Arora, Ye Tao, Jianqiang Shen, Ping Liu, Muchen Wu, Qianqi Shen, Benjamin Le, Fedor Borisyuk, Jingwei Wu, Wenjing Zhang

CoRR, February, 2026

Semantic Search At LinkedIn.

Fedor Borisyuk, Sriram Vasudevan, Muchen Wu, Guoyao Li, Benjamin Le, Shaobo Zhang, Kay Qianqi Shen, Yuchin Juan, Kayhan Behdin, Liming Dong, Kaixu Yang, Shusen Jing, Ravi Pothamsetty, Rajat Arora, Sophie Yanying Sheng, Vitaly Abdrashitov, Yang Zhao, Lin Su, Xiaoqing Wang, Chujie Zheng, Sarang Metkar, Rupesh Gupta, Igor Lapchuk, David N. Racca, Madhumitha Mohan, Yanbo Li, Haojun Li, Saloni Gandhi, Xueying Lu, Chetan Bhole, Ali Hooshmand, Xin Yang, Raghavan Muthuregunathan, Jiajun Zhang, Mathew Teoh, Adam Coler, Abhinav Gupta, Xiaojing Ma, Sundara Raman Ramachandran, Morteza Ramezani, Yubo Wang, Lijuan Zhang, Richard Li, Jian Sheng, Chanh Nguyen, Yen-Chi Chen, Chuanrui Zhu, Claire Zhang, Jiahao Xu, Deepti Kulkarni, Qing Lan, Arvind Subramaniam, Ata Fatahi Baarzi, Steven Shimizu, Yanning Chen, Zhipeng Wang, Ran He, Zhengze Zhou, Qingquan Song, Yun Dai, Caleb Johnson, Ping Liu, Shaghayegh Gharghabi, Gokulraj Mohanasundaram, Juan Bottaro, Santhosh Sachindran, Qi Guo, Yunxiang Ren, Chengming Jiang, Di Mo, Luke Simon, Jianqiang Shen, Jingwei Wu, Wenjing Zhang

CoRR, February, 2026

2025

A Scalable and Efficient Signal Integration System for Job Matching.

Ping Liu, Rajat Arora, Xiao Shi, Benjamin Le, Qianqi Shen, Jianqiang Shen, Chengming Jiang, Nikita Zhiltsov, Priya Bannur, Yidan Zhu, Liming Dong, Haichao Wei, Qi Guo, Luke Simon, Liangjie Hong, Wenjing Zhang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Powering Job Search at Scale: LLM-Enhanced Query Understanding in Job Matching Systems.

Ping Liu, Jianqiang Shen, Qianqi Shen, Chunnan Yao, Kevin Kao, Dan Xu, Rajat Arora, Baofen Zheng, Caleb Johnson, Liangjie Hong, Jingwei Wu, Wenjing Zhang

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2023

CapsFlow: Optical Flow Estimation with Capsule Networks.

Rahul Chand, Rajat Arora, K. Ram Prabhakar, R. Venkatesh Babu

CoRR, 2023

2021

SinGAN-GIF: Learning a Generative Video Model from a Single GIF.

Rajat Arora, Yong Jae Lee

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2019

A Fast, Scalable, and Reliable Deghosting Method for Extreme Exposure Fusion.

K. Ram Prabhakar, Rajat Arora, Adhitya Swaminathan, Kunal Pratap Singh, R. Venkatesh Babu

Proceedings of the IEEE International Conference on Computational Photography, 2019