Automatic Detection and Correction of Multi-class Classification Errors Using System Whole-part Relationships. - Zhengzhang Chen; Alok N. Choudhary; John Jenkins; Vipin Kumar 001; Anatoli V. Melechko; Jinfeng Rao; Nagiza F. Samatova; Fredrick H. M. Semazzi (SDM, 2013)

Partitioning strategies for spatio-textual similarity join. - Jinfeng Rao; Jimmy Lin; Hanan Samet (BigSpatial@SIGSPATIAL, 2014)

Infrastructure for supporting exploration and discovery in web archives. - Jimmy Lin; Milad Gholami; Jinfeng Rao (WWW (Companion Volume), 2014)

Reproducible Experiments on Lexical and Temporal Feedback for Tweet Search. - Jinfeng Rao; Jimmy Lin; Miles Efron (ECIR, 2015)

Noise-Contrastive Estimation for Answer Selection with Deep Neural Networks. - Jinfeng Rao; Hua He; Jimmy Lin (CIKM, 2016)

Compressing and Decoding Term Statistics Time Series. - Jinfeng Rao; Xing Niu 001; Jimmy Lin (ECIR, 2016)

Temporal Query Expansion Using a Continuous Hidden Markov Model. - Jinfeng Rao; Jimmy Lin (ICTIR, 2016)

UMD-TTIC-UW at SemEval-2016 Task 1: Attention-Based Multi-Perspective Convolutional Neural Networks for Textual Similarity Measurement. - Hua He; John Wieting; Kevin Gimpel; Jinfeng Rao; Jimmy Lin (SemEval@NAACL-HLT, 2016)

Talking to Your TV: Context-Aware Voice Search with Hierarchical Recurrent Neural Networks. - Jinfeng Rao; Ferhan Türe; Hua He; Oliver Jojic; Jimmy Lin (CIKM, 2017)

Mining the Temporal Statistics of Query Terms for Searching Social Media Posts. - Jinfeng Rao; Ferhan Türe; Xing Niu 001; Jimmy Lin (ICTIR, 2017)

Experiments with Convolutional Neural Network Models for Answer Selection. - Jinfeng Rao; Hua He; Jimmy Lin (SIGIR, 2017)

Automatically Extracting High-Quality Negative Examples for Answer Selection in Question Answering. - Haotian Zhang 001; Jinfeng Rao; Jimmy Lin; Mark D. Smucker (SIGIR, 2017)

Integrating Lexical and Temporal Signals in Neural Ranking Models for Searching Social Media Streams. - Jinfeng Rao; Hua He; Haotian Zhang 001; Ferhan Türe; Royal Sequiera; Salman Mohammed; Jimmy Lin (CoRR, 2017)

Exploring the Effectiveness of Convolutional Neural Networks for Answer Selection in End-to-End Question Answering. - Royal Sequiera; Gaurav Baruah; Zhucheng Tu; Salman Mohammed; Jinfeng Rao; Haotian Zhang 001; Jimmy Lin (CoRR, 2017)

Multi-Task Learning with Neural Networks for Voice Query Understanding on an Entertainment Platform. - Jinfeng Rao; Ferhan Türe; Jimmy Lin (KDD, 2018)

What Do Viewers Say to Their TVs?: An Analysis of Voice Queries to Entertainment Systems. - Jinfeng Rao; Ferhan Türe; Jimmy Lin (SIGIR, 2018)

Temporal Context Modeling for Text Streams. - Jinfeng Rao (2018)

Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search. - Jinfeng Rao; Wei Yang 017; Yuhao Zhang 004; Ferhan Türe; Jimmy Lin (AAAI, 2019)

Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue. - Anusha Balakrishnan; Jinfeng Rao; Kartikeya Upasani; Michael White 001; Rajen Subba (ACL (1), 2019)

Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives. - Yi Tay; Shuohang Wang; Anh Tuan Luu; Jie Fu 001; Minh C. Phan; Xingdi Yuan; Jinfeng Rao; Siu Cheung Hui; Aston Zhang (ACL (1), 2019)

Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks. - Yi Tay; Aston Zhang; Anh Tuan Luu; Jinfeng Rao; Shuai Zhang 007; Shuohang Wang; Jie Fu 001; Siu Cheung Hui (ACL (1), 2019)

Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling. - Linqing Liu; Wei Yang 017; Jinfeng Rao; Raphael Tang; Jimmy Lin (EMNLP/IJCNLP (1), 2019)

Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling. - Jinfeng Rao; Linqing Liu; Yi Tay; Hsiu-Wei Yang; Peng Shi 010; Jimmy Lin (EMNLP/IJCNLP (1), 2019)

The OSU/Facebook Realizer for SRST 2019: Seq2Seq Inflection and Serialized Tree2Tree Linearization. - Kartikeya Upasani; David King; Jinfeng Rao; Anusha Balakrishnan; Michael White 001 (MSR@EMNLP-IJCNLP, 2019)

A Tree-to-Sequence Model for Neural NLG in Task-Oriented Dialog. - Jinfeng Rao; Kartikeya Upasani; Anusha Balakrishnan; Michael White 001; Anuj Kumar; Rajen Subba (INLG, 2019)

Simple Attention-Based Representation Learning for Ranking Short Social Media Posts. - Peng Shi 010; Jinfeng Rao; Jimmy Lin (NAACL-HLT (1), 2019)

Challenges and Opportunities in Understanding Spoken Queries Directed at Modern Entertainment Platforms. - Ferhan Türe; Jinfeng Rao; Raphael Tang; Jimmy Lin (SIGIR, 2019)

Long Range Arena : A Benchmark for Efficient Transformers. - Yi Tay; Mostafa Dehghani 001; Samira Abnar; Yikang Shen; Dara Bahri; Philip Pham; Jinfeng Rao; Liu Yang; Sebastian Ruder; Donald Metzler (ICLR, 2021)

Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers. - Yi Tay; Mostafa Dehghani 001; Jinfeng Rao; William Fedus; Samira Abnar; Hyung Won Chung; Sharan Narang; Dani Yogatama; Ashish Vaswani; Donald Metzler (CoRR, 2021)

Improving Compositional Generalization with Self-Training for Data-to-Text Generation. - Sanket Vaibhav Mehta; Jinfeng Rao; Yi Tay; Mihir Kale; Ankur Parikh; Hongtao Zhong; Emma Strubell (CoRR, 2021)

Improving Compositional Generalization with Self-Training for Data-to-Text Generation. - Sanket Vaibhav Mehta; Jinfeng Rao; Yi Tay; Mihir Kale; Ankur Parikh; Emma Strubell (ACL (1), 2022)

ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. - Vamsi Aribandi; Yi Tay; Tal Schuster; Jinfeng Rao; Huaixiu Steven Zheng; Sanket Vaibhav Mehta; Honglei Zhuang; Vinh Q. Tran 002; Dara Bahri; Jianmo Ni; Jai Prakash Gupta 001; Kai Hui 001; et al. (ICLR, 2022)

Scale Efficiently: Insights from Pretraining and Finetuning Transformers. - Yi Tay; Mostafa Dehghani 001; Jinfeng Rao; William Fedus; Samira Abnar; Hyung Won Chung; Sharan Narang; Dani Yogatama; Ashish Vaswani; Donald Metzler (ICLR, 2022)

DSI++: Updating Transformer Memory with New Documents. - Sanket Vaibhav Mehta; Jai Gupta 001; Yi Tay; Mostafa Dehghani 001; Vinh Q. Tran 002; Jinfeng Rao; Marc Najork; Emma Strubell; Donald Metzler (EMNLP, 2023)

Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? - Yi Tay; Mostafa Dehghani 001; Samira Abnar; Hyung Won Chung; William Fedus; Jinfeng Rao; Sharan Narang; Vinh Q. Tran 002; Dani Yogatama; Donald Metzler (EMNLP (Findings), 2023)

Transcending Scaling Laws with 0.1% Extra Compute. - Yi Tay; Jason Wei; Hyung Won Chung; Vinh Q. Tran 002; David R. So; Siamak Shakeri; Xavier Garcia; Huaixiu Steven Zheng; Jinfeng Rao; Aakanksha Chowdhery; Denny Zhou; Donald Metzler; et al. (EMNLP, 2023)

Improving Pinterest Search Relevance Using Large Language Models. - Han Wang; Mukuntha Narayanan Sundararaman; Onur Gungor; Yu Xu; Krishna Kamath; Rakesh Chalasani; Kurchi Subhra Hazra; Jinfeng Rao (CoRR, 2024)

PinLanding: Content-First Keyword Landing Page Generation via Multi-Modal AI for Web-Scale Discovery. - Faye Zhang; Jasmine Wan; Qianyu Cheng; Jinfeng Rao (CoRR, 2025)