Junjie Hu

According to our database, Junjie Hu authored at least 42 papers between 2012 and 2024.

Collaborative distances:

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

2024

Learning Label Hierarchy with Supervised Contrastive Learning.

Ruixue Lian, William A. Sethares, Junjie Hu

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

Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges.

Bosheng Ding, Chengwei Qin, Ruochen Zhao, Tianze Luo, Xinze Li, Guizhen Chen, Wenhan Xia, Junjie Hu, Anh Tuan Luu, Shafiq Joty

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

2023

Video Pivoting Unsupervised Multi-Modal Machine Translation.

Mingjie Li, Po-Yao Huang, Xiaojun Chang, Junjie Hu, Yi Yang, Alex Hauptmann

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

CFBenchmark: Chinese Financial Assistant Benchmark for Large Language Model.

Yang Lei, Jiangtong Li, Ming Jiang, Junjie Hu, Dawei Cheng, Zhijun Ding, Changjun Jiang

CoRR, 2023

2022

MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages.

Akari Asai, Shayne Longpre, Jungo Kasai, Chia-Hsuan Lee, Rui Zhang, Junjie Hu, Ikuya Yamada, Jonathan H. Clark, Eunsol Choi

CoRR, 2022

Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources.

Xinyan Yu, Trina Chatterjee, Akari Asai, Junjie Hu, Eunsol Choi

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

GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems.

Bosheng Ding, Junjie Hu, Lidong Bing, Sharifah Mahani Aljunied, Shafiq R. Joty, Luo Si, Chunyan Miao

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

DEEP: DEnoising Entity Pre-training for Neural Machine Translation.

Junjie Hu, Hiroaki Hayashi, Kyunghyun Cho, Graham Neubig

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

2021

XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation.

Sebastian Ruder, Noah Constant, Jan A. Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Graham Neubig, Melvin Johnson

CoRR, 2021

Phrase-level Active Learning for Neural Machine Translation.

Junjie Hu, Graham Neubig

Proceedings of the Sixth Conference on Machine Translation, 2021

Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models.

Poyao Huang, Mandela Patrick, Junjie Hu, Graham Neubig, Florian Metze, Alex Hauptmann

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

Explicit Alignment Objectives for Multilingual Bidirectional Encoders.

Junjie Hu, Melvin Johnson, Orhan Firat, Aditya Siddhant, Graham Neubig

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

XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation.

Sebastian Ruder, Noah Constant, Jan A. Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Dan Garrette, Graham Neubig, Melvin Johnson

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

AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages.

Machel Reid, Junjie Hu, Graham Neubig, Yutaka Matsuo

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

2020

XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization.

Junjie Hu, Sebastian Ruder, Aditya Siddhant, Graham Neubig, Orhan Firat, Melvin Johnson

CoRR, 2020

XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation.

Junjie Hu, Sebastian Ruder, Aditya Siddhant, Graham Neubig, Orhan Firat, Melvin Johnson

Proceedings of the 37th International Conference on Machine Learning, 2020

On Learning Language-Invariant Representations for Universal Machine Translation.

Han Zhao, Junjie Hu, Andrej Risteski

Proceedings of the 37th International Conference on Machine Learning, 2020

TICO-19: the Translation Initiative for COvid-19.

Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou, Marcello Federico, Christian Federmann, Dmitriy Genzel, Francisco Guzmán, Junjie Hu, Macduff Hughes, Philipp Koehn, Rosie Lazar, William Lewis, Graham Neubig, Mengmeng Niu, Alp Öktem, Eric Paquin, Grace Tang, Sylwia Tur

Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020

Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting.

Po-Yao Huang, Junjie Hu, Xiaojun Chang, Alexander G. Hauptmann

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

What Makes A Good Story? Designing Composite Rewards for Visual Storytelling.

Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

The ARIEL-CMU Systems for LoReHLT18.

Aditi Chaudhary, Siddharth Dalmia, Junjie Hu, Xinjian Li, Austin Matthews, Aldrian Obaja Muis, Naoki Otani, Shruti Rijhwani, Zaid Sheikh, Nidhi Vyas, Xinyi Wang, Jiateng Xie, Ruochen Xu, Chunting Zhou, Peter J. Jansen, Yiming Yang, Lori S. Levin, Florian Metze, Teruko Mitamura, David R. Mortensen, Graham Neubig, Eduard H. Hovy, Alan W. Black, Jaime G. Carbonell, Graham Horwood, Shabnam Tafreshi, Mona T. Diab, Efsun Sarioglu Kayi, Noura Farra, Kathleen R. McKeown

CoRR, 2019

compare-mt: A Tool for Holistic Comparison of Language Generation Systems.

Graham Neubig, Zi-Yi Dou, Junjie Hu, Paul Michel, Danish Pruthi, Xinyi Wang

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

Handling Syntactic Divergence in Low-resource Machine Translation.

Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig

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

REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning.

Ming Jiang, Junjie Hu, Qiuyuan Huang, Lei Zhang, Jana Diesner, Jianfeng Gao

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

Domain Differential Adaptation for Neural Machine Translation.

Zi-Yi Dou, Xinyi Wang, Junjie Hu, Graham Neubig

Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, 2019

Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings.

Zi-Yi Dou, Junjie Hu, Antonios Anastasopoulos, Graham Neubig

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

A Hybrid Retrieval-Generation Neural Conversation Model.

Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Deep Generative and Discriminative Domain Adaptation.

Han Zhao, Junjie Hu, Zhenyao Zhu, Adam Coates, Geoffrey J. Gordon

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Domain Adaptation of Neural Machine Translation by Lexicon Induction.

Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime G. Carbonell

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Online Nonlinear AUC Maximization for Imbalanced Data Sets.

Junjie Hu, Haiqin Yang, Michael R. Lyu, Irwin King, Anthony Man-Cho So

IEEE Trans. Neural Networks Learn. Syst., 2018

Contextual Encoding for Translation Quality Estimation.

Junjie Hu, Wei-Cheng Chang, Yuexin Wu, Graham Neubig

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

Rapid Adaptation of Neural Machine Translation to New Languages.

Graham Neubig, Junjie Hu

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Automatic Estimation of Simultaneous Interpreter Performance.

Craig Stewart, Nikolai Vogler, Junjie Hu, Jordan L. Boyd-Graber, Graham Neubig

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

2017

Principled Hybrids of Generative and Discriminative Domain Adaptation.

Han Zhao, Zhenyao Zhu, Junjie Hu, Adam Coates, Geoffrey J. Gordon

CoRR, 2017

Words or Characters? Fine-grained Gating for Reading Comprehension.

Zhilin Yang, Bhuwan Dhingra, Ye Yuan, Junjie Hu, William W. Cohen, Ruslan Salakhutdinov

Proceedings of the 5th International Conference on Learning Representations, 2017

Structural Embedding of Syntactic Trees for Machine Comprehension.

Rui Liu, Junjie Hu, Wei Wei, Zi Yang, Eric Nyberg

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

Semi-Supervised QA with Generative Domain-Adaptive Nets.

Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen

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

2016

Learning Lexical Entries for Robotic Commands using Crowdsourcing.

Junjie Hu, Jean Oh, Anatole Gershman

CoRR, 2016

2015

AR-Tracker: Track the Dynamics of Mobile Apps via User Review Mining.

Cuiyun Gao, Hui Xu, Junjie Hu, Yangfan Zhou

Proceedings of the 2015 IEEE Symposium on Service-Oriented System Engineering, 2015

Kernelized Online Imbalanced Learning with Fixed Budgets.

Junjie Hu, Haiqin Yang, Irwin King, Michael R. Lyu, Anthony Man-Cho So

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Exploiting homophily-based implicit social network to improve recommendation performance.

Tong Zhao, Junjie Hu, Pinjia He, Hang Fan, Michael R. Lyu, Irwin King

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2012

Active learning for imbalance problem using L-GEM of RBFNN.

Junjie Hu

Proceedings of the International Conference on Machine Learning and Cybernetics, 2012