Jinfeng Rao - RankMe

51 papers A* 11A 5B 1Misc 2Journal 19Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generative Engine Optimization: A VLM and Agent Framework for Pinterest Acquisition Growth. CoRR Faye Zhang, Qianyu Cheng, Jasmine Wan, Vishwakarma Singh, Jinfeng Rao, Kofi Boakye
2026	J	`jnl`	PinCLIP: Large-scale Foundational Multimodal Representation at Pinterest. CoRR Josh Beal, Eric Kim, Jinfeng Rao, Rex Wu, Dmitry Kislyuk, Charles Rosenberg
2025	J	`jnl`	PinLanding: Content-First Keyword Landing Page Generation via Multi-Modal AI for Web-Scale Discovery. CoRR Faye Zhang, Jasmine Wan, Qianyu Cheng, Jinfeng Rao
2024	J	`jnl`	Improving Pinterest Search Relevance Using Large Language Models. CoRR Han Wang, Mukuntha Narayanan Sundararaman, Onur Gungor, Yu Xu, Krishna Kamath, Rakesh Chalasani, Kurchi Subhra Hazra, Jinfeng Rao
2023	A*	`conf`	DSI++: Updating Transformer Memory with New Documents. EMNLP Sanket Vaibhav Mehta, Jai Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler
2023	—	`conf`	Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? EMNLP (Findings) Yi Tay, Mostafa Dehghani, Samira Abnar, Hyung Won Chung, William Fedus, Jinfeng Rao, Sharan Narang, Vinh Q. Tran, Dani Yogatama, Donald Metzler
2023	A*	`conf`	Transcending Scaling Laws with 0.1% Extra Compute. EMNLP Yi Tay, Jason Wei, Hyung Won Chung, Vinh Q. Tran, David R. So, Siamak Shakeri, Xavier Garcia, Huaixiu Steven Zheng, Jinfeng Rao, Aakanksha Chowdhery, Denny Zhou, Donald Metzler, Slav Petrov, Neil Houlsby, Quoc V. Le, Mostafa Dehghani
2022	J	`jnl`	DSI++: Updating Transformer Memory with New Documents. CoRR Sanket Vaibhav Mehta, Jai Prakash Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler
2022	A*	`conf`	ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. ICLR Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Prakash Gupta, Kai Hui, Sebastian Ruder, Donald Metzler
2022	—	`conf`	Improving Compositional Generalization with Self-Training for Data-to-Text Generation. ACL (1) Sanket Vaibhav Mehta, Jinfeng Rao, Yi Tay, Mihir Kale, Ankur Parikh, Emma Strubell
2022	A*	`conf`	Scale Efficiently: Insights from Pretraining and Finetuning Transformers. ICLR Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler
2022	J	`jnl`	Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? CoRR Yi Tay, Mostafa Dehghani, Samira Abnar, Hyung Won Chung, William Fedus, Jinfeng Rao, Sharan Narang, Vinh Q. Tran, Dani Yogatama, Donald Metzler
2022	J	`jnl`	Transcending Scaling Laws with 0.1% Extra Compute. CoRR Yi Tay, Jason Wei, Hyung Won Chung, Vinh Q. Tran, David R. So, Siamak Shakeri, Xavier Garcia, Huaixiu Steven Zheng, Jinfeng Rao, Aakanksha Chowdhery, Denny Zhou, Donald Metzler, Slav Petrov, Neil Houlsby, Quoc V. Le, Mostafa Dehghani
2021	J	`jnl`	ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. CoRR Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Prakash Gupta, Kai Hui, Sebastian Ruder, Donald Metzler
2021	J	`jnl`	Improving Compositional Generalization with Self-Training for Data-to-Text Generation. CoRR Sanket Vaibhav Mehta, Jinfeng Rao, Yi Tay, Mihir Kale, Ankur Parikh, Hongtao Zhong, Emma Strubell
2021	A*	`conf`	Long Range Arena : A Benchmark for Efficient Transformers. ICLR Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, Donald Metzler
2021	J	`jnl`	Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers. CoRR Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler
2020	J	`jnl`	Long Range Arena: A Benchmark for Efficient Transformers. CoRR Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, Donald Metzler
2019	B	`conf`	A Tree-to-Sequence Model for Neural NLG in Task-Oriented Dialog. INLG Jinfeng Rao, Kartikeya Upasani, Anusha Balakrishnan, Michael White, Anuj Kumar, Rajen Subba
2019	—	`conf`	Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling. EMNLP/IJCNLP (1) Jinfeng Rao, Linqing Liu, Yi Tay, Hsiu-Wei Yang, Peng Shi, Jimmy Lin
2019	A*	`conf`	Challenges and Opportunities in Understanding Spoken Queries Directed at Modern Entertainment Platforms. SIGIR Ferhan Türe, Jinfeng Rao, Raphael Tang, Jimmy Lin
2019	—	`conf`	Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue. ACL (1) Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, Michael White, Rajen Subba
2019	J	`jnl`	Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue. CoRR Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, Michael White, Rajen Subba
2019	—	`conf`	Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling. EMNLP/IJCNLP (1) Linqing Liu, Wei Yang, Jinfeng Rao, Raphael Tang, Jimmy Lin
2019	—	`conf`	Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks. ACL (1) Yi Tay, Aston Zhang, Anh Tuan Luu, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, Siu Cheung Hui
2019	J	`jnl`	Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks. CoRR Yi Tay, Aston Zhang, Luu Anh Tuan, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, Siu Cheung Hui
2019	A*	`conf`	Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search. AAAI Jinfeng Rao, Wei Yang, Yuhao Zhang, Ferhan Türe, Jimmy Lin
2019	—	`conf`	Simple Attention-Based Representation Learning for Ranking Short Social Media Posts. NAACL-HLT (1) Peng Shi, Jinfeng Rao, Jimmy Lin
2019	—	`conf`	Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives. ACL (1) Yi Tay, Shuohang Wang, Anh Tuan Luu, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang
2019	J	`jnl`	Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives. CoRR Yi Tay, Shuohang Wang, Luu Anh Tuan, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang
2019	—	`conf`	The OSU/Facebook Realizer for SRST 2019: Seq2Seq Inflection and Serialized Tree2Tree Linearization. MSR@EMNLP-IJCNLP Kartikeya Upasani, David King, Jinfeng Rao, Anusha Balakrishnan, Michael White
2018	J	`jnl`	Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search. CoRR Jinfeng Rao, Wei Yang, Yuhao Zhang, Ferhan Türe, Jimmy Lin
2018	A*	`conf`	Multi-Task Learning with Neural Networks for Voice Query Understanding on an Entertainment Platform. KDD Jinfeng Rao, Ferhan Türe, Jimmy Lin
2018	J	`jnl`	Simple Attention-Based Representation Learning for Ranking Short Social Media Posts. CoRR Peng Shi, Jinfeng Rao, Jimmy Lin
2018	—	`—`	Temporal Context Modeling for Text Streams. Jinfeng Rao
2018	A*	`conf`	What Do Viewers Say to Their TVs?: An Analysis of Voice Queries to Entertainment Systems. SIGIR Jinfeng Rao, Ferhan Türe, Jimmy Lin
2017	A*	`conf`	Automatically Extracting High-Quality Negative Examples for Answer Selection in Question Answering. SIGIR Haotian Zhang, Jinfeng Rao, Jimmy Lin, Mark D. Smucker
2017	A*	`conf`	Experiments with Convolutional Neural Network Models for Answer Selection. SIGIR Jinfeng Rao, Hua He, Jimmy Lin
2017	J	`jnl`	Exploring the Effectiveness of Convolutional Neural Networks for Answer Selection in End-to-End Question Answering. CoRR Royal Sequiera, Gaurav Baruah, Zhucheng Tu, Salman Mohammed, Jinfeng Rao, Haotian Zhang, Jimmy Lin
2017	J	`jnl`	Integrating Lexical and Temporal Signals in Neural Ranking Models for Searching Social Media Streams. CoRR Jinfeng Rao, Hua He, Haotian Zhang, Ferhan Türe, Royal Sequiera, Salman Mohammed, Jimmy Lin
2017	Misc	`conf`	Mining the Temporal Statistics of Query Terms for Searching Social Media Posts. ICTIR Jinfeng Rao, Ferhan Türe, Xing Niu, Jimmy Lin
2017	A	`conf`	Talking to Your TV: Context-Aware Voice Search with Hierarchical Recurrent Neural Networks. CIKM Jinfeng Rao, Ferhan Türe, Hua He, Oliver Jojic, Jimmy Lin
2017	J	`jnl`	Talking to Your TV: Context-Aware Voice Search with Hierarchical Recurrent Neural Networks. CoRR Jinfeng Rao, Ferhan Türe, Hua He, Oliver Jojic, Jimmy Lin
2016	A	`conf`	Compressing and Decoding Term Statistics Time Series. ECIR Jinfeng Rao, Xing Niu, Jimmy Lin
2016	A	`conf`	Noise-Contrastive Estimation for Answer Selection with Deep Neural Networks. CIKM Jinfeng Rao, Hua He, Jimmy Lin
2016	Misc	`conf`	Temporal Query Expansion Using a Continuous Hidden Markov Model. ICTIR Jinfeng Rao, Jimmy Lin
2016	—	`conf`	UMD-TTIC-UW at SemEval-2016 Task 1: Attention-Based Multi-Perspective Convolutional Neural Networks for Textual Similarity Measurement. SemEval@NAACL-HLT Hua He, John Wieting, Kevin Gimpel, Jinfeng Rao, Jimmy Lin
2015	A	`conf`	Reproducible Experiments on Lexical and Temporal Feedback for Tweet Search. ECIR Jinfeng Rao, Jimmy Lin, Miles Efron
2014	—	`conf`	Infrastructure for supporting exploration and discovery in web archives. WWW (Companion Volume) Jimmy Lin, Milad Gholami, Jinfeng Rao
2014	—	`conf`	Partitioning strategies for spatio-textual similarity join. BigSpatial@SIGSPATIAL Jinfeng Rao, Jimmy Lin, Hanan Samet
2013	A	`conf`	Automatic Detection and Correction of Multi-class Classification Errors Using System Whole-part Relationships. SDM Zhengzhang Chen, Alok N. Choudhary, John Jenkins, Vipin Kumar, Anatoli V. Melechko, Jinfeng Rao, Nagiza F. Samatova, Fredrick H. M. Semazzi