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ORCIDJunjie Hu 0001
Person information
- unicode name: 胡俊杰
- affiliation: University of Wisconsin-Madison, Madison, WI, USA
- affiliation (former): Carnegie Mellon University, School of Computer Science, Language Technologies Institute, Pittsburgh, PA, USA
- affiliation (former): Chinese University of Hong Kong, Hong Kong
- affiliation (former): South China University of Technology, School of Computer Science and Engineering, Guangzhou, China
Other persons with the same name
- Junjie Hu (aka: Jun-Jie Hu) — disambiguation page
- Junjie Hu 0002
![[0000-0002-8483-5501]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8483-5501")
— North China Electric Power University, School of Electrical and Electronic Engineering, Beijing, China (and 1 more) - Junjie Hu 0003 — Chinese University of Hong Kong, Shenzhen, China (and 1 more)
- Junjie Hu 0004 — Sichuan University, Chengdu, China
- Junjie Hu 0005 — Hangzhou Yiyitaidi Information Technology Co., Ltd., Hangzhou, China
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Journal Articles
- 2023
[j2]Mingjie Li, Po-Yao Huang, Xiaojun Chang, Junjie Hu, Yi Yang, Alex Hauptmann:
Video Pivoting Unsupervised Multi-Modal Machine Translation. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3918-3932 (2023)- 2018
- [j1]Junjie Hu, Haiqin Yang, Michael R. Lyu, Irwin King, Anthony Man-Cho So:
Online Nonlinear AUC Maximization for Imbalanced Data Sets. IEEE Trans. Neural Networks Learn. Syst. 29(4): 882-895 (2018)
Conference and Workshop Papers
- 2024
- [c32]Ruixue Lian, William A. Sethares, Junjie Hu:
Learning Label Hierarchy with Supervised Contrastive Learning. EACL (Findings) 2024: 1569-1581 - 2022
- [c31]Bosheng Ding, Junjie Hu, Lidong Bing, Sharifah Mahani Aljunied, Shafiq R. Joty, Luo Si, Chunyan Miao:
GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems. ACL (1) 2022: 1639-1657 - [c30]Junjie Hu, Hiroaki Hayashi, Kyunghyun Cho, Graham Neubig:
DEEP: DEnoising Entity Pre-training for Neural Machine Translation. ACL (1) 2022: 1753-1766 - [c29]Xinyan Yu, Trina Chatterjee, Akari Asai, Junjie Hu, Eunsol Choi:
Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources. EMNLP (Findings) 2022: 3725-3743 - 2021
- [c28]Machel Reid, Junjie Hu, Graham Neubig, Yutaka Matsuo:
AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages. EMNLP (1) 2021: 1306-1320 - [c27]Sebastian Ruder, Noah Constant, Jan A. Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Dan Garrette, Graham Neubig, Melvin Johnson:
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation. EMNLP (1) 2021: 10215-10245 - [c26]Poyao Huang, Mandela Patrick, Junjie Hu, Graham Neubig, Florian Metze, Alex Hauptmann:
Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models. NAACL-HLT 2021: 2443-2459 - [c25]Junjie Hu, Melvin Johnson, Orhan Firat, Aditya Siddhant, Graham Neubig:
Explicit Alignment Objectives for Multilingual Bidirectional Encoders. NAACL-HLT 2021: 3633-3643 - [c24]Junjie Hu, Graham Neubig:
Phrase-level Active Learning for Neural Machine Translation. WMT@EMNLP 2021: 1087-1099 - 2020
- [c23]Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig:
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling. AAAI 2020: 7969-7976 - [c22]Po-Yao Huang, Junjie Hu, Xiaojun Chang, Alexander G. Hauptmann:
Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting. ACL 2020: 8226-8237 - [c21]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:
TICO-19: the Translation Initiative for COvid-19. NLP4COVID@EMNLP 2020 - [c20]Junjie Hu, Sebastian Ruder, Aditya Siddhant, Graham Neubig, Orhan Firat, Melvin Johnson:
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation. ICML 2020: 4411-4421 - [c19]Han Zhao, Junjie Hu, Andrej Risteski:
On Learning Language-Invariant Representations for Universal Machine Translation. ICML 2020: 11352-11364 - 2019
- [c18]Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime G. Carbonell:
Domain Adaptation of Neural Machine Translation by Lexicon Induction. ACL (1) 2019: 2989-3001 - [c17]Han Zhao, Junjie Hu, Zhenyao Zhu, Adam Coates, Geoffrey J. Gordon:
Deep Generative and Discriminative Domain Adaptation. AAMAS 2019: 2315-2317 - [c16]Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu:
A Hybrid Retrieval-Generation Neural Conversation Model. CIKM 2019: 1341-1350 - [c15]Zi-Yi Dou, Xinyi Wang, Junjie Hu, Graham Neubig:
Domain Differential Adaptation for Neural Machine Translation. NGT@EMNLP-IJCNLP 2019: 59-69 - [c14]Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig:
Handling Syntactic Divergence in Low-resource Machine Translation. EMNLP/IJCNLP (1) 2019: 1388-1394 - [c13]Zi-Yi Dou, Junjie Hu, Antonios Anastasopoulos, Graham Neubig:
Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings. EMNLP/IJCNLP (1) 2019: 1417-1422 - [c12]Ming Jiang, Junjie Hu, Qiuyuan Huang, Lei Zhang, Jana Diesner, Jianfeng Gao:
REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning. EMNLP/IJCNLP (1) 2019: 1475-1480 - [c11]Graham Neubig, Zi-Yi Dou, Junjie Hu, Paul Michel, Danish Pruthi, Xinyi Wang:
compare-mt: A Tool for Holistic Comparison of Language Generation Systems. NAACL-HLT (Demonstrations) 2019: 35-41 - 2018
- [c10]Craig Stewart, Nikolai Vogler, Junjie Hu, Jordan L. Boyd-Graber, Graham Neubig:
Automatic Estimation of Simultaneous Interpreter Performance. ACL (2) 2018: 662-666 - [c9]Graham Neubig, Junjie Hu:
Rapid Adaptation of Neural Machine Translation to New Languages. EMNLP 2018: 875-880 - [c8]Junjie Hu, Wei-Cheng Chang, Yuexin Wu, Graham Neubig:
Contextual Encoding for Translation Quality Estimation. WMT (shared task) 2018: 788-793 - 2017
- [c7]Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen:
Semi-Supervised QA with Generative Domain-Adaptive Nets. ACL (1) 2017: 1040-1050 - [c6]Rui Liu, Junjie Hu, Wei Wei, Zi Yang, Eric Nyberg:
Structural Embedding of Syntactic Trees for Machine Comprehension. EMNLP 2017: 815-824 - [c5]Zhilin Yang, Bhuwan Dhingra, Ye Yuan, Junjie Hu, William W. Cohen, Ruslan Salakhutdinov:
Words or Characters? Fine-grained Gating for Reading Comprehension. ICLR (Poster) 2017 - 2015
- [c4]Junjie Hu, Haiqin Yang, Irwin King, Michael R. Lyu, Anthony Man-Cho So:
Kernelized Online Imbalanced Learning with Fixed Budgets. AAAI 2015: 2666-2672 - [c3]Cuiyun Gao, Hui Xu, Junjie Hu, Yangfan Zhou:
AR-Tracker: Track the Dynamics of Mobile Apps via User Review Mining. SOSE 2015: 284-290 - 2014
- [c2]Tong Zhao, Junjie Hu, Pinjia He, Hang Fan, Michael R. Lyu, Irwin King:
Exploiting homophily-based implicit social network to improve recommendation performance. IJCNN 2014: 2539-2547 - 2012
- [c1]Junjie Hu:
Active learning for imbalance problem using L-GEM of RBFNN. ICMLC 2012: 490-495
Informal and Other Publications
- 2024
- [i33]Ruixue Lian, William A. Sethares, Junjie Hu:
Learning Label Hierarchy with Supervised Contrastive Learning. CoRR abs/2402.00232 (2024) - [i32]Bosheng Ding, Chengwei Qin, Ruochen Zhao, Tianze Luo, Xinze Li, Guizhen Chen, Wenhan Xia, Junjie Hu, Anh Tuan Luu, Shafiq Joty:
Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges. CoRR abs/2403.02990 (2024) - 2023
- [i31]Yang Lei, Jiangtong Li, Ming Jiang, Junjie Hu, Dawei Cheng, Zhijun Ding, Changjun Jiang:
CFBenchmark: Chinese Financial Assistant Benchmark for Large Language Model. CoRR abs/2311.05812 (2023) - 2022
- [i30]Akari Asai, Shayne Longpre, Jungo Kasai, Chia-Hsuan Lee, Rui Zhang, Junjie Hu, Ikuya Yamada, Jonathan H. Clark, Eunsol Choi:
MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages. CoRR abs/2207.00758 (2022) - [i29]Xinyan Velocity Yu, Akari Asai, Trina Chatterjee, Junjie Hu, Eunsol Choi:
Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources. CoRR abs/2211.15649 (2022) - 2021
- [i28]Po-Yao Huang, Mandela Patrick, Junjie Hu, Graham Neubig, Florian Metze, Alexander G. Hauptmann:
Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models. CoRR abs/2103.08849 (2021) - [i27]Sebastian Ruder, Noah Constant, Jan A. Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Graham Neubig, Melvin Johnson:
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation. CoRR abs/2104.07412 (2021) - [i26]Junjie Hu, Graham Neubig:
Phrase-level Active Learning for Neural Machine Translation. CoRR abs/2106.11375 (2021) - [i25]Machel Reid, Junjie Hu, Graham Neubig, Yutaka Matsuo:
AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages. CoRR abs/2109.04715 (2021) - [i24]Bosheng Ding, Junjie Hu, Lidong Bing, Sharifah Aljunied Mahani, Shafiq R. Joty, Luo Si, Chunyan Miao:
GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems. CoRR abs/2110.07679 (2021) - [i23]Junjie Hu, Hiroaki Hayashi, Kyunghyun Cho, Graham Neubig:
DEEP: DEnoising Entity Pre-training for Neural Machine Translation. CoRR abs/2111.07393 (2021) - 2020
- [i22]Junjie Hu, Sebastian Ruder, Aditya Siddhant, Graham Neubig, Orhan Firat, Melvin Johnson:
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization. CoRR abs/2003.11080 (2020) - [i21]Po-Yao Huang, Junjie Hu, Xiaojun Chang, Alexander G. Hauptmann:
Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting. CoRR abs/2005.03119 (2020) - [i20]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:
TICO-19: the Translation Initiative for Covid-19. CoRR abs/2007.01788 (2020) - [i19]Han Zhao, Junjie Hu, Andrej Risteski:
On Learning Language-Invariant Representations for Universal Machine Translation. CoRR abs/2008.04510 (2020) - [i18]Junjie Hu, Melvin Johnson, Orhan Firat, Aditya Siddhant, Graham Neubig:
Explicit Alignment Objectives for Multilingual Bidirectional Encoders. CoRR abs/2010.07972 (2020) - 2019
- [i17]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:
The ARIEL-CMU Systems for LoReHLT18. CoRR abs/1902.08899 (2019) - [i16]Graham Neubig, Zi-Yi Dou, Junjie Hu, Paul Michel, Danish Pruthi, Xinyi Wang:
compare-mt: A Tool for Holistic Comparison of Language Generation Systems. CoRR abs/1903.07926 (2019) - [i15]Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu:
A Hybrid Retrieval-Generation Neural Conversation Model. CoRR abs/1904.09068 (2019) - [i14]Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime G. Carbonell:
Domain Adaptation of Neural Machine Translation by Lexicon Induction. CoRR abs/1906.00376 (2019) - [i13]Zi-Yi Dou, Junjie Hu, Antonios Anastasopoulos, Graham Neubig:
Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings. CoRR abs/1908.10430 (2019) - [i12]Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig:
Handling Syntactic Divergence in Low-resource Machine Translation. CoRR abs/1909.00040 (2019) - [i11]Ming Jiang, Junjie Hu, Qiuyuan Huang, Lei Zhang, Jana Diesner, Jianfeng Gao:
REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning. CoRR abs/1909.02217 (2019) - [i10]Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig:
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling. CoRR abs/1909.05316 (2019) - [i9]Zi-Yi Dou, Xinyi Wang, Junjie Hu, Graham Neubig:
Domain Differential Adaptation for Neural Machine Translation. CoRR abs/1910.02555 (2019) - 2018
- [i8]Craig Stewart, Nikolai Vogler, Junjie Hu, Jordan L. Boyd-Graber, Graham Neubig:
Automatic Estimation of Simultaneous Interpreter Performance. CoRR abs/1805.04016 (2018) - [i7]Graham Neubig, Junjie Hu:
Rapid Adaptation of Neural Machine Translation to New Languages. CoRR abs/1808.04189 (2018) - [i6]Junjie Hu, Wei-Cheng Chang, Yuexin Wu, Graham Neubig:
Contextual Encoding for Translation Quality Estimation. CoRR abs/1809.00129 (2018) - 2017
- [i5]Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen:
Semi-Supervised QA with Generative Domain-Adaptive Nets. CoRR abs/1702.02206 (2017) - [i4]Rui Liu, Junjie Hu, Wei Wei, Zi Yang, Eric Nyberg:
Structural Embedding of Syntactic Trees for Machine Comprehension. CoRR abs/1703.00572 (2017) - [i3]Han Zhao, Zhenyao Zhu, Junjie Hu, Adam Coates, Geoffrey J. Gordon:
Principled Hybrids of Generative and Discriminative Domain Adaptation. CoRR abs/1705.09011 (2017) - 2016
- [i2]Junjie Hu, Jean Oh, Anatole Gershman:
Learning Lexical Entries for Robotic Commands using Crowdsourcing. CoRR abs/1609.02549 (2016) - [i1]Zhilin Yang, Bhuwan Dhingra, Ye Yuan, Junjie Hu, William W. Cohen, Ruslan Salakhutdinov:
Words or Characters? Fine-grained Gating for Reading Comprehension. CoRR abs/1611.01724 (2016)
Coauthor Index
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