Yinfei Yang

According to our database, Yinfei Yang authored at least 92 papers between 2012 and 2024.

Collaborative distances:

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

2024

Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms.

Zhangheng Li, Keen You, Haotian Zhang, Di Feng, Harsh Agrawal, Xiujun Li, Mohana Prasad Sathya Moorthy, Jeff Nichols, Yinfei Yang, Zhe Gan

CoRR, 2024

Improve Vision Language Model Chain-of-thought Reasoning.

Ruohong Zhang, Bowen Zhang, Yanghao Li, Haotian Zhang, Zhiqing Sun, Zhe Gan, Yinfei Yang, Ruoming Pang, Yiming Yang

CoRR, 2024

MM-Ego: Towards Building Egocentric Multimodal LLMs.

Hanrong Ye, Haotian Zhang, Erik A. Daxberger, Lin Chen, Zongyu Lin, Yanghao Li, Bowen Zhang, Haoxuan You, Dan Xu, Zhe Gan, Jiasen Lu, Yinfei Yang

CoRR, 2024

Contrastive Localized Language-Image Pre-Training.

Hong-You Chen, Zhengfeng Lai, Haotian Zhang, Xinze Wang, Marcin Eichner, Keen You, Meng Cao, Bowen Zhang, Yinfei Yang, Zhe Gan

CoRR, 2024

Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models.

Zhengfeng Lai, Vasileios Saveris, Chen Chen, Hong-You Chen, Haotian Zhang, Bowen Zhang, Juan Lao Tebar, Wenze Hu, Zhe Gan, Peter Grasch, Meng Cao, Yinfei Yang

CoRR, 2024

MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning.

Haotian Zhang, Mingfei Gao, Zhe Gan, Philipp Dufter, Nina Wenzel, Forrest Huang, Dhruti Shah, Xianzhi Du, Bowen Zhang, Yanghao Li, Sam Dodge, Keen You, Zhen Yang, Aleksei Timofeev, Mingze Xu, Hong-You Chen, Jean-Philippe Fauconnier, Zhengfeng Lai, Haoxuan You, Zirui Wang, Afshin Dehghan, Peter Grasch, Yinfei Yang

CoRR, 2024

Understanding Alignment in Multimodal LLMs: A Comprehensive Study.

Elmira Amirloo, Jean-Philippe Fauconnier, Christoph Roesmann, Christian Kerl, Rinu Boney, Yusu Qian, Zirui Wang, Afshin Dehghan, Yinfei Yang, Zhe Gan, Peter Grasch

CoRR, 2024

MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs.

Yusu Qian, Hanrong Ye, Jean-Philippe Fauconnier, Peter Grasch, Yinfei Yang, Zhe Gan

CoRR, 2024

Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models.

Haotian Zhang, Haoxuan You, Philipp Dufter, Bowen Zhang, Chen Chen, Hong-You Chen, Tsu-Jui Fu, William Yang Wang, Shih-Fu Chang, Zhe Gan, Yinfei Yang

CoRR, 2024

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training.

Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Floris Weers, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Ankur Jain, Hongyu Hè, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Guoli Yin, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang

CoRR, 2024

How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts.

Yusu Qian, Haotian Zhang, Yinfei Yang, Zhe Gan

CoRR, 2024

Empowering Unsupervised Domain Adaptation with Large-scale Pre-trained Vision-Language Models.

Zhengfeng Lai, Haoping Bai, Haotian Zhang, Xianzhi Du, Jiulong Shan, Yinfei Yang, Chen-Nee Chuah, Meng Cao

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Ferret: Refer and Ground Anything Anywhere at Any Granularity.

Haoxuan You, Haotian Zhang, Zhe Gan, Xianzhi Du, Bowen Zhang, Zirui Wang, Liangliang Cao, Shih-Fu Chang, Yinfei Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MOFI: Learning Image Representations from Noisy Entity Annotated Images.

Wentao Wu, Aleksei Timofeev, Chen Chen, Bowen Zhang, Kun Duan, Shuangning Liu, Yantao Zheng, Jonathon Shlens, Xianzhi Du, Yinfei Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Compressing LLMs: The Truth is Rarely Pure and Never Simple.

Ajay Kumar Jaiswal, Zhe Gan, Xianzhi Du, Bowen Zhang, Zhangyang Wang, Yinfei Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Guiding Instruction-based Image Editing via Multimodal Large Language Models.

Tsu-Jui Fu, Wenze Hu, Xianzhi Du, William Yang Wang, Yinfei Yang, Zhe Gan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs.

Keen You, Haotian Zhang, Eldon Schoop, Floris Weers, Amanda Swearngin, Jeffrey Nichols, Yinfei Yang, Zhe Gan

Proceedings of the Computer Vision - ECCV 2024, 2024

MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training.

Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Hongyu Hè, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang

Proceedings of the Computer Vision - ECCV 2024, 2024

VeCLIP: Improving CLIP Training via Visual-Enriched Captions.

Zhengfeng Lai, Haotian Zhang, Bowen Zhang, Wentao Wu, Haoping Bai, Aleksei Timofeev, Xianzhi Du, Zhe Gan, Jiulong Shan, Chen-Nee Chuah, Yinfei Yang, Meng Cao

Proceedings of the Computer Vision - ECCV 2024, 2024

On the Intractability to Synthesize Factual Inconsistencies in Summarization.

Ge Luo, Weisi Fan, Miaoran Li, Youbiao He, Yinfei Yang, Forrest Sheng Bao

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

Hierarchical temporal transformer network for tool wear state recognition.

Zhongling Xue, Ni Chen, Youling Wu, Yinfei Yang, Liang Li

Adv. Eng. Informatics, October, 2023

From Scarcity to Efficiency: Improving CLIP Training via Visual-enriched Captions.

Zhengfeng Lai, Haotian Zhang, Wentao Wu, Haoping Bai, Aleksei Timofeev, Xianzhi Du, Zhe Gan, Jiulong Shan, Chen-Nee Chuah, Yinfei Yang, Meng Cao

CoRR, 2023

Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts.

Erik A. Daxberger, Floris Weers, Bowen Zhang, Tom Gunter, Ruoming Pang, Marcin Eichner, Michael Emmersberger, Yinfei Yang, Alexander Toshev, Xianzhi Du

CoRR, 2023

MOFI: Learning Image Representations from Noisy Entity Annotated Images.

Wentao Wu, Aleksei Timofeev, Chen Chen, Bowen Zhang, Kun Duan, Shuangning Liu, Yantao Zheng, Jonathon Shlens, Xianzhi Du, Zhe Gan, Yinfei Yang

CoRR, 2023

Less is More: Removing Text-regions Improves CLIP Training Efficiency and Robustness.

Liangliang Cao, Bowen Zhang, Chen Chen, Yinfei Yang, Xianzhi Du, Wencong Zhang, Zhiyun Lu, Yantao Zheng

CoRR, 2023

On Robustness in Multimodal Learning.

Brandon McKinzie, Joseph Yitan Cheng, Vaishaal Shankar, Yinfei Yang, Jonathon Shlens, Alexander Toshev

CoRR, 2023

STAIR: Learning Sparse Text and Image Representation in Grounded Tokens.

Chen Chen, Bowen Zhang, Liangliang Cao, Jiguang Shen, Tom Gunter, Albin Madappally Jose, Alexander Toshev, Jonathon Shlens, Ruoming Pang, Yinfei Yang

CoRR, 2023

Self Supervision Does Not Help Natural Language Supervision at Scale.

Floris Weers, Vaishaal Shankar, Angelos Katharopoulos, Yinfei Yang, Tom Gunter

CoRR, 2023

Robustness in Multimodal Learning under Train-Test Modality Mismatch.

Brandon McKinzie, Vaishaal Shankar, Joseph Yitan Cheng, Yinfei Yang, Jonathon Shlens, Alexander T. Toshev

Proceedings of the International Conference on Machine Learning, 2023

Perceptual Grouping in Contrastive Vision-Language Models.

Kanchana Ranasinghe, Brandon McKinzie, Sachin Ravi, Yinfei Yang, Alexander Toshev, Jonathon Shlens

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

STAIR: Learning Sparse Text and Image Representation in Grounded Tokens.

Chen Chen, Bowen Zhang, Liangliang Cao, Jiguang Shen, Tom Gunter, Albin Madappally Jose, Alexander Toshev, Yantao Zheng, Jonathon Shlens, Ruoming Pang, Yinfei Yang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DocAsRef: An Empirical Study on Repurposing Reference-based Summary Quality Metrics as Reference-free Metrics.

Forrest Sheng Bao, Ruixuan Tu, Ge Luo, Yinfei Yang, Hebi Li, Minghui Qiu, Youbiao He, Cen Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Masked Autoencoding Does Not Help Natural Language Supervision at Scale.

Floris Weers, Vaishaal Shankar, Angelos Katharopoulos, Yinfei Yang, Tom Gunter

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation Learning.

Aishwarya Kamath, Peter Anderson, Su Wang, Jing Yu Koh, Alexander Ku, Austin Waters, Yinfei Yang, Jason Baldridge, Zarana Parekh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Simple and Effective Synthesis of Indoor 3D Scenes.

Jing Yu Koh, Harsh Agrawal, Dhruv Batra, Richard Tucker, Austin Waters, Honglak Lee, Yinfei Yang, Jason Baldridge, Peter Anderson

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.

Jiahui Yu, Yuanzhong Xu, Jing Yu Koh, Thang Luong, Gunjan Baid, Zirui Wang, Vijay Vasudevan, Alexander Ku, Yinfei Yang, Burcu Karagol Ayan, Ben Hutchinson, Wei Han, Zarana Parekh, Xin Li, Han Zhang, Jason Baldridge, Yonghui Wu

Trans. Mach. Learn. Res., 2022

Perceptual Grouping in Vision-Language Models.

Kanchana Ranasinghe, Brandon McKinzie, Sachin Ravi, Yinfei Yang, Alexander Toshev, Jonathon Shlens

CoRR, 2022

LongT5: Efficient Text-To-Text Transformer for Long Sequences.

Mandy Guo, Joshua Ainslie, David C. Uthus, Santiago Ontañón, Jianmo Ni, Yun-Hsuan Sung, Yinfei Yang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling.

Forrest Sheng Bao, Ge Luo, Hebi Li, Minghui Qiu, Yinfei Yang, Youbiao He, Cen Chen

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Large Dual Encoders Are Generalizable Retrievers.

Jianmo Ni, Chen Qu, Jing Lu, Zhuyun Dai, Gustavo Hernández Ábrego, Ji Ma, Vincent Y. Zhao, Yi Luan, Keith B. Hall, Ming-Wei Chang, Yinfei Yang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models.

Jianmo Ni, Gustavo Hernández Ábrego, Noah Constant, Ji Ma, Keith B. Hall, Daniel Cer, Yinfei Yang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Language-agnostic BERT Sentence Embedding.

Fangxiaoyu Feng, Yinfei Yang, Daniel Cer, Naveen Arivazhagan, Wei Wang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

An approach for optimising the fixturing configuration in flexible machining fixtures.

Xiaoyue Li, Yinfei Yang, Liang Li, Yaowen Shi, Guolong Zhao, Ning He, Ning Qian, Zhuang Mu

Int. J. Prod. Res., 2021

MURAL: Multimodal, Multitask Retrieval Across Languages.

Aashi Jain, Mandy Guo, Krishna Srinivasan, Ting Chen, Sneha Kudugunta, Chao Jia, Yinfei Yang, Jason Baldridge

CoRR, 2021

Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve.

Oshin Agarwal, Yinfei Yang, Byron C. Wallace, Ani Nenkova

Comput. Linguistics, 2021

Text-to-Image Generation Grounded by Fine-Grained User Attention.

Jing Yu Koh, Jason Baldridge, Honglak Lee, Yinfei Yang

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

Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision.

Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc V. Le, Yun-Hsuan Sung, Zhen Li, Tom Duerig

Proceedings of the 38th International Conference on Machine Learning, 2021

Pathdreamer: A World Model for Indoor Navigation.

Jing Yu Koh, Honglak Lee, Yinfei Yang, Jason Baldridge, Peter Anderson

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Universal Sentence Representation Learning with Conditional Masked Language Model.

Ziyi Yang, Yinfei Yang, Daniel Cer, Jax Law, Eric Darve

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations.

Ziyi Yang, Yinfei Yang, Daniel Cer, Eric Darve

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Multi-stage Training with Improved Negative Contrast for Neural Passage Retrieval.

Jing Lu, Gustavo Hernández Ábrego, Ji Ma, Jianmo Ni, Yinfei Yang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

MURAL: Multimodal, Multitask Representations Across Languages.

Aashi Jain, Mandy Guo, Krishna Srinivasan, Ting Chen, Sneha Kudugunta, Chao Jia, Yinfei Yang, Jason Baldridge

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO.

Zarana Parekh, Jason Baldridge, Daniel Cer, Austin Waters, Yinfei Yang

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Zero-shot Neural Passage Retrieval via Domain-targeted Synthetic Question Generation.

Ji Ma, Ivan Korotkov, Yinfei Yang, Keith B. Hall, Ryan T. McDonald

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Cross-Modal Contrastive Learning for Text-to-Image Generation.

Han Zhang, Jing Yu Koh, Jason Baldridge, Honglak Lee, Yinfei Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Neural Retrieval for Question Answering with Cross-Attention Supervised Data Augmentation.

Yinfei Yang, Ning Jin, Kuo Lin, Mandy Guo, Daniel Cer

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Uncertainty quantification in machining deformation based on Bayesian network.

Xiaoyue Li, Yinfei Yang, Liang Li, Guolong Zhao, Ning He

Reliab. Eng. Syst. Saf., 2020

Neural Passage Retrieval with Improved Negative Contrast.

Jing Lu, Gustavo Hernández Ábrego, Ji Ma, Jianmo Ni, Yinfei Yang

CoRR, 2020

End-to-end Semantics-based Summary Quality Assessment for Single-document Summarization.

Forrest Sheng Bao, Hebi Li, Ge Luo, Cen Chen, Yinfei Yang, Minghui Qiu

CoRR, 2020

MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models.

Mandy Guo, Yinfei Yang, Daniel Cer, Qinlan Shen, Noah Constant

CoRR, 2020

Zero-shot Neural Retrieval via Domain-targeted Synthetic Query Generation.

Ji Ma, Ivan Korotkov, Yinfei Yang, Keith B. Hall, Ryan T. McDonald

CoRR, 2020

Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition Models.

Oshin Agarwal, Yinfei Yang, Byron C. Wallace, Ani Nenkova

CoRR, 2020

Self-Supervised Learning for Pairwise Data Refinement.

Gustavo Hernández Ábrego, Bowen Liang, Wei Wang, Zarana Parekh, Yinfei Yang, Yun-Hsuan Sung

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

LAReQA: Language-Agnostic Answer Retrieval from a Multilingual Pool.

Uma Roy, Noah Constant, Rami Al-Rfou, Aditya Barua, Aaron Phillips, Yinfei Yang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Multilingual Universal Sentence Encoder for Semantic Retrieval.

Yinfei Yang, Daniel Cer, Amin Ahmad, Mandy Guo, Jax Law, Noah Constant, Gustavo Hernández Ábrego, Steve Yuan, Chris Tar, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

Learning a Multi-Domain Curriculum for Neural Machine Translation.

Wei Wang, Ye Tian, Jiquan Ngiam, Yinfei Yang, Isaac Caswell, Zarana Parekh

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Learning a Multitask Curriculum for Neural Machine Translation.

Wei Wang, Ye Tian, Jiquan Ngiam, Yinfei Yang, Isaac Caswell, Zarana Parekh

CoRR, 2019

Multi-Domain Gated CNN for Review Helpfulness Prediction.

Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao

Proceedings of the World Wide Web Conference, 2019

Hierarchical Document Encoder for Parallel Corpus Mining.

Mandy Guo, Yinfei Yang, Keith Stevens, Daniel Cer, Heming Ge, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil

Proceedings of the Fourth Conference on Machine Translation, 2019

Learning Cross-Lingual Sentence Representations via a Multi-task Dual-Encoder Model.

Muthuraman Chidambaram, Yinfei Yang, Daniel Cer, Steve Yuan, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil

Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction.

Yinfei Yang, Oshin Agarwal, Chris Tar, Byron C. Wallace, Ani Nenkova

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax.

Yinfei Yang, Gustavo Hernández Ábrego, Steve Yuan, Mandy Guo, Qinlan Shen, Daniel Cer, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification.

Yinfei Yang, Yuan Zhang, Chris Tar, Jason Baldridge

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

ReQA: An Evaluation for End-to-End Answer Retrieval Models.

Amin Ahmad, Noah Constant, Yinfei Yang, Daniel Cer

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

2018

Review Helpfulness Prediction with Embedding-Gated CNN.

Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao

CoRR, 2018

Universal Sentence Encoder.

Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St. John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil

CoRR, 2018

Effective Parallel Corpus Mining using Bilingual Sentence Embeddings.

Mandy Guo, Qinlan Shen, Yinfei Yang, Heming Ge, Daniel Cer, Gustavo Hernández Ábrego, Keith Stevens, Noah Constant, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil

Proceedings of the Third Conference on Machine Translation: Research Papers, 2018

Learning Semantic Textual Similarity from Conversations.

Yinfei Yang, Steve Yuan, Daniel Cer, Sheng-yi Kong, Noah Constant, Petr Pilar, Heming Ge, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil

Proceedings of The Third Workshop on Representation Learning for NLP, 2018

Syntactic Patterns Improve Information Extraction for Medical Search.

Roma Patel, Yinfei Yang, Iain James Marshall, Ani Nenkova, Byron C. Wallace

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators.

Cen Chen, Yinfei Yang, Jun Zhou, Xiaolong Li, Forrest Sheng Bao

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Universal Sentence Encoder for English.

Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St. John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, Brian Strope, Ray Kurzweil

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature.

Benjamin E. Nye, Junyi Jessy Li, Roma Patel, Yinfei Yang, Iain James Marshall, Ani Nenkova, Byron C. Wallace

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Combining Lexical and Syntactic Features for Detecting Content-Dense Texts in News.

Yinfei Yang, Ani Nenkova

J. Artif. Intell. Res., 2017

Aspect Extraction from Product Reviews Using Category Hierarchy Information.

Yinfei Yang, Cen Chen, Minghui Qiu, Forrest Sheng Bao

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Detecting (Un)Important Content for Single-Document News Summarization.

Yinfei Yang, Forrest Sheng Bao, Ani Nenkova

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

Aspect-Based Helpfulness Prediction for Online Product Reviews.

Yinfei Yang, Cen Chen, Forrest Sheng Bao

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

2015

Semantic Analysis and Helpfulness Prediction of Text for Online Product Reviews.

Yinfei Yang, Yaowei Yan, Minghui Qiu, Forrest Sheng Bao

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Online Multiple targets Detection and Tracking from Mobile robot in Cluttered indoor Environments with Depth Camera.

Yu Zhou, Yinfei Yang, Meng Yi, Xiang Bai, Wenyu Liu, Longin Jan Latecki

Int. J. Pattern Recognit. Artif. Intell., 2014

Single image 3D object detection and pose estimation for grasping.

Menglong Zhu, Konstantinos G. Derpanis, Yinfei Yang, Samarth Brahmbhatt, Mabel M. Zhang, Cody J. Phillips, Matthieu Lecce, Kostas Daniilidis

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Detecting Information-Dense Texts in Multiple News Domains.

Yinfei Yang, Ani Nenkova

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2012

Linking Named Entities to Any Database.

Avirup Sil, Ernest Cronin, Penghai Nie, Yinfei Yang, Ana-Maria Popescu, Alexander Yates

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Navigation toward Non-static Target Object Using Footprint Detection Based Tracking.

Meng Yi, Yinfei Yang, Wenjing Qi, Yu Zhou, Yunfeng Li, Zygmunt Pizlo, Longin Jan Latecki

Proceedings of the Computer Vision - ACCV 2012, 2012