Hu Xu

According to our database, Hu Xu authored at least 53 papers between 2011 and 2024.

Collaborative distances:

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

2024

DINOv2: Learning Robust Visual Features without Supervision.

Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mido Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski

Trans. Mach. Learn. Res., 2024

LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding.

Xiaoqian Shen, Yunyang Xiong, Changsheng Zhao, Lemeng Wu, Jun Chen, Chenchen Zhu, Zechun Liu, Fanyi Xiao, Balakrishnan Varadarajan, Florian Bordes, Zhuang Liu, Hu Xu, Hyunwoo J. Kim, Bilge Soran, Raghuraman Krishnamoorthi, Mohamed Elhoseiny, Vikas Chandra

CoRR, 2024

The Llama 3 Herd of Models.

Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, Anirudh Goyal, Anthony Hartshorn, Aobo Yang, Archi Mitra, Archie Sravankumar, Artem Korenev, Arthur Hinsvark, Arun Rao, Aston Zhang, Aurélien Rodriguez, Austen Gregerson, Ava Spataru, Baptiste Rozière, Bethany Biron, Binh Tang, Bobbie Chern, Charlotte Caucheteux, Chaya Nayak, Chloe Bi, Chris Marra, Chris McConnell, Christian Keller, Christophe Touret, Chunyang Wu, Corinne Wong, Cristian Canton Ferrer, Cyrus Nikolaidis, Damien Allonsius, Daniel Song, Danielle Pintz, Danny Livshits, David Esiobu, Dhruv Choudhary, Dhruv Mahajan, Diego Garcia-Olano, Diego Perino, Dieuwke Hupkes, Egor Lakomkin, Ehab AlBadawy, Elina Lobanova, Emily Dinan, Eric Michael Smith, Filip Radenovic, Frank Zhang, Gabriel Synnaeve, Gabrielle Lee, Georgia Lewis Anderson, Graeme Nail, Grégoire Mialon, Guan Pang, Guillem Cucurell, Hailey Nguyen, Hannah Korevaar, Hu Xu, Hugo Touvron, Iliyan Zarov, Imanol Arrieta Ibarra, Isabel M. Kloumann, Ishan Misra, Ivan Evtimov, Jade Copet, Jaewon Lee, Jan Geffert, Jana Vranes, Jason Park, Jay Mahadeokar, Jeet Shah, Jelmer van der Linde, Jennifer Billock, Jenny Hong, Jenya Lee, Jeremy Fu, Jianfeng Chi, Jianyu Huang, Jiawen Liu, Jie Wang, Jiecao Yu, Joanna Bitton, Joe Spisak, Jongsoo Park, Joseph Rocca, Joshua Johnstun, Joshua Saxe, Junteng Jia, Kalyan Vasuden Alwala, Kartikeya Upasani, Kate Plawiak, Ke Li, Kenneth Heafield, Kevin Stone, et al.

CoRR, 2024

An Introduction to Vision-Language Modeling.

Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra

CoRR, 2024

Text Quality-Based Pruning for Efficient Training of Language Models.

Vasu Sharma, Karthik Padthe, Newsha Ardalani, Kushal Tirumala, Russell Howes, Hu Xu, Po-Yao Huang, Shang-Wen Li, Armen Aghajanyan, Gargi Ghosh, Luke Zettlemoyer

CoRR, 2024

Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM.

Sainbayar Sukhbaatar, Olga Golovneva, Vasu Sharma, Hu Xu, Xi Victoria Lin, Baptiste Rozière, Jacob Kahn, Daniel Li, Wen-tau Yih, Jason Weston, Xian Li

CoRR, 2024

Demystifying CLIP Data.

Hu Xu, Saining Xie, Xiaoqing Ellen Tan, Po-Yao Huang, Russell Howes, Vasu Sharma, Shang-Wen Li, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Altogether: Image Captioning via Re-aligning Alt-text.

Hu Xu, Po-Yao Huang, Xiaoqing Ellen Tan, Ching-Feng Yeh, Jacob Kahn, Christine Jou, Gargi Ghosh, Omer Levy, Luke Zettlemoyer, Wen-tau Yih, Shang-Wen Li, Saining Xie, Christoph Feichtenhofer

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MoDE: CLIP Data Experts via Clustering.

Jiawei Ma, Po-Yao Huang, Saining Xie, Shang-Wen Li, Luke Zettlemoyer, Shih-Fu Chang, Wen-Tau Yih, Hu Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

DINOv2: Learning Robust Visual Features without Supervision.

Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mahmoud Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael G. Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski

CoRR, 2023

MAViL: Masked Audio-Video Learners.

Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Haoqi Fan, Yanghao Li, Shang-Wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diffusion Models as Masked Autoencoders.

Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan L. Yuille, Christoph Feichtenhofer

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

CiT: Curation in Training for Effective Vision-Language Data.

Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer

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

2022

Zero-Shot Aspect-Based Sentiment Analysis.

Lei Shu, Hu Xu, Bing Liu, Jiahua Chen

CoRR, 2022

CM3: A Causal Masked Multimodal Model of the Internet.

Armen Aghajanyan, Bernie Huang, Candace Ross, Vladimir Karpukhin, Hu Xu, Naman Goyal, Dmytro Okhonko, Mandar Joshi, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer

CoRR, 2022

Masked Autoencoders that Listen.

Po-Yao Huang, Hu Xu, Juncheng Li, Alexei Baevski, Michael Auli, Wojciech Galuba, Florian Metze, Christoph Feichtenhofer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

HTLM: Hyper-Text Pre-Training and Prompting of Language Models.

Armen Aghajanyan, Dmytro Okhonko, Mike Lewis, Mandar Joshi, Hu Xu, Gargi Ghosh, Luke Zettlemoyer

Proceedings of the Tenth International Conference on Learning Representations, 2022

Adapting a Language Model While Preserving its General Knowledge.

Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu

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

Continual Training of Language Models for Few-Shot Learning.

Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu

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

2021

Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning.

Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks.

Zixuan Ke, Hu Xu, Bing Liu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding.

Hu Xu, Gargi Ghosh, Po-Yao Huang, Dmytro Okhonko, Armen Aghajanyan, Florian Metze, Luke Zettlemoyer, Christoph Feichtenhofer

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

CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks.

Zixuan Ke, Bing Liu, Hu Xu, Lei Shu

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

NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions.

Zhiyu Chen, Honglei Liu, Hu Xu, Seungwhan Moon, Hao Zhou, Bing Liu

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

VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding.

Hu Xu, Gargi Ghosh, Po-Yao Huang, Prahal Arora, Masoumeh Aminzadeh, Christoph Feichtenhofer, Florian Metze, Luke Zettlemoyer

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

User Memory Reasoning for Conversational Recommendation.

Hu Xu, Seungwhan Moon, Honglei Liu, Bing Liu, Pararth Shah, Bing Liu, Philip S. Yu

CoRR, 2020

DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis.

Hu Xu, Bing Liu, Lei Shu, Philip S. Yu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Controllable Text Generation with Focused Variation.

Lei Shu, Alexandros Papangelis, Yi-Chia Wang, Gökhan Tür, Hu Xu, Zhaleh Feizollahi, Bing Liu, Piero Molino

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Understanding Pre-trained BERT for Aspect-based Sentiment Analysis.

Hu Xu, Lei Shu, Philip S. Yu, Bing Liu

Proceedings of the 28th International Conference on Computational Linguistics, 2020

User Memory Reasoning for Conversational Recommendation.

Hu Xu, Seungwhan Moon, Honglei Liu, Bing Liu, Pararth Shah, Philip S. Yu

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution.

Hu Xu, Bing Liu, Lei Shu, Philip S. Yu

CoRR, 2019

Controlled CNN-based Sequence Labeling for Aspect Extraction.

Lei Shu, Hu Xu, Bing Liu

CoRR, 2019

Review Conversational Reading Comprehension.

Hu Xu, Bing Liu, Lei Shu, Philip S. Yu

CoRR, 2019

Open-world Learning and Application to Product Classification.

Hu Xu, Bing Liu, Lei Shu, Philip S. Yu

Proceedings of the World Wide Web Conference, 2019

Flexibly-Structured Model for Task-Oriented Dialogues.

Lei Shu, Piero Molino, Mahdi Namazifar, Hu Xu, Bing Liu, Huaixiu Zheng, Gökhan Tür

Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue, 2019

BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis.

Hu Xu, Bing Liu, Lei Shu, Philip S. Yu

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

Modeling Multi-Action Policy for Task-Oriented Dialogues.

Lei Shu, Hu Xu, Bing Liu, Piero Molino

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

2018

Learning to Accept New Classes without Training.

Hu Xu, Bing Liu, Lei Shu, Philip S. Yu

CoRR, 2018

Unseen Class Discovery in Open-world Classification.

Lei Shu, Hu Xu, Bing Liu

CoRR, 2018

Lifelong Domain Word Embedding via Meta-Learning.

Hu Xu, Bing Liu, Lei Shu, Philip S. Yu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction.

Hu Xu, Bing Liu, Lei Shu, Philip S. Yu

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

Dual Attention Network for Product Compatibility and Function Satisfiability Analysis.

Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Supervised Complementary Entity Recognition with Augmented Key-value Pairs of Knowledge.

Hu Xu, Lei Shu, Philip S. Yu

CoRR, 2017

DOC: Deep Open Classification of Text Documents.

Lei Shu, Hu Xu, Bing Liu

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Product function need recognition via semi-supervised attention network.

Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Lifelong Learning CRF for Supervised Aspect Extraction.

Lei Shu, Hu Xu, Bing Liu

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Mining Compatible/Incompatible Entities from Question and Answering via Yes/No Answer Classification using Distant Label Expansion.

Hu Xu, Lei Shu, Jingyuan Zhang, Philip S. Yu

CoRR, 2016

Supervised Opinion Aspect Extraction by Exploiting Past Extraction Results.

Lei Shu, Bing Liu, Hu Xu, Annice Kim

CoRR, 2016

Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets.

Lei Shu, Bing Liu, Hu Xu, Annice Kim

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

CER: Complementary entity recognition via knowledge expansion on large unlabeled product reviews.

Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2013

Planning Paths with Fewer Turns on Grid Maps.

Hu Xu, Lei Shu, May Huang

Proceedings of the Sixth Annual Symposium on Combinatorial Search, 2013

High-speed and accurate laser scan matching using classified features.

Lei Shu, Hu Xu, May Huang

Proceedings of the IEEE International Symposium on Robotic and Sensors Environments, 2013

2011

Accuracy Analysis of Power Characterization and Modeling.

Xiaolan Bai, Hu Xu, May Huang

Proceedings of the Convergence and Hybrid Information Technology, 2011