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ORCIDJunjie Hu 0001
胡俊杰
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://dblp.dagstuhl.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 (CUHK-SZ), Shenzhen, China (and 1 more)
- Junjie Hu 0004 — Sichuan University, Chengdu, China
- Junjie Hu 0005 — Hangzhou Yiyitaidi Information Technology Co., Ltd., Hangzhou, China
- Junjie Hu 0006 — Central China Normal University, National Engineering Research Center of Educational Big Data, Wuhan, China
- Junjie Hu 0007 — Peking University, Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Beijing, China
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2020 – today
- 2025
[j4]Timothy Ossowski, Danyal Maqbool, Jixuan Chen, Zefan Cai, Tyler J. Bradshaw, Junjie Hu:
COMMA: A Communicative Multimodal Multi-Agent Benchmark. Trans. Mach. Learn. Res. 2025 (2025)- [c45]Rheeya Uppaal, Apratim Dey, Yiting He, Yiqiao Zhong, Junjie Hu:
Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity. ICLR 2025 - [c44]Binwei Yao, Zefan Cai, Yun-Shiuan Chuang, Shanglin Yang, Ming Jiang, Diyi Yang, Junjie Hu:
No Preference Left Behind: Group Distributional Preference Optimization. ICLR 2025 - [i66]Yun-Shiuan Chuang, Nikunj Harlalka, Sameer Narendran, Alexander Cheung, Sizhe Gao, Siddharth Suresh, Junjie Hu, Timothy T. Rogers:
Probing LLM World Models: Enhancing Guesstimation with Wisdom of Crowds Decoding. CoRR abs/2501.17310 (2025) - [i65]Zachary Huemann, Samuel Church, Joshua D. Warner, Daniel Tran, Xin Tie, Alan B. McMillan, Junjie Hu, Steve Y. Cho, Meghan G. Lubner, Tyler J. Bradshaw:
Vision-Language Modeling in PET/CT for Visual Grounding of Positive Findings. CoRR abs/2502.00528 (2025) - [i64]Cheng Luo, Zefan Cai, Hanshi Sun, Jinqi Xiao, Bo Yuan, Wen Xiao, Junjie Hu, Jiawei Zhao, Beidi Chen, Anima Anandkumar:
HeadInfer: Memory-Efficient LLM Inference by Head-wise Offloading. CoRR abs/2502.12574 (2025) - [i63]Isabel Villanueva, Tara Bobinac, Binwei Yao, Junjie Hu, Kaiping Chen:
AI as a deliberative partner fosters intercultural empathy for Americans but fails for Latin American participants. CoRR abs/2504.13887 (2025) - [i62]Zeyi Huang, Yuyang Ji, Anirudh Sundara Rajan, Zefan Cai, Wen Xiao, Junjie Hu, Yong Jae Lee:
VisualToolAgent (VisTA): A Reinforcement Learning Framework for Visual Tool Selection. CoRR abs/2505.20289 (2025) - [i61]Zefan Cai, Wen Xiao, Hanshi Sun, Cheng Luo, Yikai Zhang, Ke Wan, Yucheng Li, Yeyang Zhou, Li-Wen Chang, Jiuxiang Gu, Zhen Dong, Anima Anandkumar, Abedelkadir Asi, Junjie Hu:
R-KV: Redundancy-aware KV Cache Compression for Training-Free Reasoning Models Acceleration. CoRR abs/2505.24133 (2025) - [i60]Haozhe Zhao, Zefan Cai, Shuzheng Si, Liang Chen, Jiuxiang Gu, Wen Xiao, Junjie Hu:
MENTOR: Efficient Multimodal-Conditioned Tuning for Autoregressive Vision Generation Models. CoRR abs/2507.09574 (2025) - [i59]Lin Zhang, Zefan Cai, Yufan Zhou, Shentong Mo, Jinhong Lin, Cheng-En Wu, Yibing Wei, Yijing Zhang, Ruiyi Zhang, Wen Xiao, Tong Sun, Junjie Hu, Pedro Morgado:
Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm. CoRR abs/2508.03955 (2025) - 2024
- [j3]Lu Sun, Stone Tao, Junjie Hu, Steven P. Dow:
MetaWriter: Exploring the Potential and Perils of AI Writing Support in Scientific Peer Review. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-32 (2024) - [c43]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. ACL (Findings) 2024: 1679-1705 - [c42]Timothy Ossowski, Junjie Hu:
OLIVE: Object Level In-Context Visual Embeddings. ACL (1) 2024: 5170-5185 - [c41]Zihan Wang, Xiangyang Li, Jiahao Yang, Yeqi Liu, Junjie Hu, Ming Jiang, Shuqiang Jiang:
Lookahead Exploration with Neural Radiance Representation for Continuous Vision-Language Navigation. CVPR 2024: 13753-13762 - [c40]Ruixue Lian, William A. Sethares, Junjie Hu:
Learning Label Hierarchy with Supervised Contrastive Learning. EACL (Findings) 2024: 1569-1581 - [c39]Binwei Yao, Ming Jiang, Tara Bobinac, Diyi Yang, Junjie Hu:
Benchmarking Machine Translation with Cultural Awareness. EMNLP (Findings) 2024: 13078-13096 - [c38]Yun-Shiuan Chuang, Krirk Nirunwiroj, Zach Studdiford, Agam Goyal, Vincent Frigo, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers:
Beyond Demographics: Aligning Role-playing LLM-based Agents Using Human Belief Networks. EMNLP (Findings) 2024: 14010-14026 - [c37]Harmon Bhasin, Timothy Ossowski, Yiqiao Zhong, Junjie Hu:
How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function Classes. NAACL (Short Papers) 2024: 169-187 - [c36]Yun-Shiuan Chuang, Agam Goyal, Nikunj Harlalka, Siddharth Suresh, Robert Hawkins, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers:
Simulating Opinion Dynamics with Networks of LLM-based Agents. NAACL-HLT (Findings) 2024: 3326-3346 - [c35]Jiongxiao Wang, Jiazhao Li, Yiquan Li, Xiangyu Qi, Junjie Hu, Sharon Li, Patrick McDaniel, Muhao Chen, Bo Li, Chaowei Xiao:
BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment. NeurIPS 2024 - [i58]Timothy Ossowski, Ming Jiang, Junjie Hu:
Prompting Large Vision-Language Models for Compositional Reasoning. CoRR abs/2401.11337 (2024) - [i57]Rheeya Uppaal, Yixuan Li, Junjie Hu:
FEUDA: Frustratingly Easy Prompt Based Unsupervised Domain Adaptation. CoRR abs/2401.17514 (2024) - [i56]Ruixue Lian, William A. Sethares, Junjie Hu:
Learning Label Hierarchy with Supervised Contrastive Learning. CoRR abs/2402.00232 (2024) - [i55]Jiongxiao Wang, Jiazhao Li, Yiquan Li, Xiangyu Qi, Junjie Hu, Yixuan Li, Patrick McDaniel, Muhao Chen, Bo Li, Chaowei Xiao:
Mitigating Fine-tuning Jailbreak Attack with Backdoor Enhanced Alignment. CoRR abs/2402.14968 (2024) - [i54]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) - [i53]Zihan Wang, Xiangyang Li, Jiahao Yang, Yeqi Liu, Junjie Hu, Ming Jiang, Shuqiang Jiang:
Lookahead Exploration with Neural Radiance Representation for Continuous Vision-Language Navigation. CoRR abs/2404.01943 (2024) - [i52]Harmon Bhasin, Timothy Ossowski, Yiqiao Zhong, Junjie Hu:
How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function Classes. CoRR abs/2404.03558 (2024) - [i51]Xin Tie, Muheon Shin, Changhee Lee, Scott B. Perlman, Zachary Huemann, Amy J. Weisman, Sharon M. Castellino, Kara M. Kelly, Kathleen M. McCarten, Adina L. Alazraki, Junjie Hu, Steve Y. Cho, Tyler J. Bradshaw:
Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Patients Using a Longitudinally-Aware Segmentation Network. CoRR abs/2404.08611 (2024) - [i50]Rheeya Uppaal, Apratim Dey, Yiting He, Yiqiao Zhong, Junjie Hu:
DeTox: Toxic Subspace Projection for Model Editing. CoRR abs/2405.13967 (2024) - [i49]Timothy Ossowski, Junjie Hu:
OLIVE: Object Level In-Context Visual Embeddings. CoRR abs/2406.00872 (2024) - [i48]Zefan Cai, Yichi Zhang, Bofei Gao, Yuliang Liu, Tianyu Liu, Keming Lu, Wayne Xiong, Yue Dong, Baobao Chang, Junjie Hu, Wen Xiao:
PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling. CoRR abs/2406.02069 (2024) - [i47]Bofei Gao, Zefan Cai, Runxin Xu, Peiyi Wang, Ce Zheng, Runji Lin, Keming Lu, Junyang Lin, Chang Zhou, Wen Xiao, Junjie Hu, Tianyu Liu, Baobao Chang:
LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback. CoRR abs/2406.14024 (2024) - [i46]Yun-Shiuan Chuang, Zach Studdiford, Krirk Nirunwiroj, Agam Goyal, Vincent V. Frigo, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers:
Beyond Demographics: Aligning Role-playing LLM-based Agents Using Human Belief Networks. CoRR abs/2406.17232 (2024) - [i45]Jialin Li, Junli Wang, Junjie Hu, Ming Jiang:
How Well Do LLMs Identify Cultural Unity in Diversity? CoRR abs/2408.05102 (2024) - [i44]Timothy Ossowski, Jixuan Chen, Danyal Maqbool, Zefan Cai, Tyler J. Bradshaw, Junjie Hu:
COMMA: A Communicative Multimodal Multi-Agent Benchmark. CoRR abs/2410.07553 (2024) - [i43]Shuying Xu, Junjie Hu, Ming Jiang:
Large Language Models Are Active Critics in NLG Evaluation. CoRR abs/2410.10724 (2024) - [i42]Binwei Yao, Zefan Cai, Yun-Shiuan Chuang, Shanglin Yang, Ming Jiang, Diyi Yang, Junjie Hu:
No Preference Left Behind: Group Distributional Preference Optimization. CoRR abs/2412.20299 (2024) - 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) - [c34]Timothy Ossowski, Junjie Hu:
Retrieving Multimodal Prompts for Generative Visual Question Answering. ACL (Findings) 2023: 2518-2535 - [c33]Rheeya Uppaal, Junjie Hu, Yixuan Li:
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection. ACL (1) 2023: 12813-12832 - [i41]Zachary Huemann, Changhee Lee, Junjie Hu, Steve Y. Cho, Tyler J. Bradshaw:
Domain-adapted large language models for classifying nuclear medicine reports. CoRR abs/2303.01258 (2023) - [i40]Zachary Huemann, Junjie Hu, Tyler J. Bradshaw:
ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of Pneumothorax. CoRR abs/2303.01615 (2023) - [i39]Rheeya Uppaal, Junjie Hu, Yixuan Li:
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection. CoRR abs/2305.13282 (2023) - [i38]Binwei Yao, Ming Jiang, Diyi Yang, Junjie Hu:
Empowering LLM-based Machine Translation with Cultural Awareness. CoRR abs/2305.14328 (2023) - [i37]Timothy Ossowski, Junjie Hu:
Multimodal Prompt Retrieval for Generative Visual Question Answering. CoRR abs/2306.17675 (2023) - [i36]Xin Tie, Muheon Shin, Ali Pirasteh, Nevein Ibrahim, Zachary Huemann, Sharon M. Castellino, Kara M. Kelly, John W. Garrett, Junjie Hu, Steve Y. Cho, Tyler J. Bradshaw:
Automatic Personalized Impression Generation for PET Reports Using Large Language Models. CoRR abs/2309.10066 (2023) - [i35]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) - [i34]Yun-Shiuan Chuang, Agam Goyal, Nikunj Harlalka, Siddharth Suresh, Robert Hawkins, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers:
Simulating Opinion Dynamics with Networks of LLM-based Agents. CoRR abs/2311.09618 (2023) - [i33]Yun-Shiuan Chuang, Yi Wu, Dhruv Gupta, Rheeya Uppaal, Ananya Kumar, Luhang Sun, Makesh Narsimhan Sreedhar, Sijia Yang, Timothy T. Rogers, Junjie Hu:
Evolving Domain Adaptation of Pretrained Language Models for Text Classification. CoRR abs/2311.09661 (2023) - [i32]Yun-Shiuan Chuang, Siddharth Suresh, Nikunj Harlalka, Agam Goyal, Robert Hawkins, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers:
Evaluating LLM Agent Group Dynamics against Human Group Dynamics: A Case Study on Wisdom of Partisan Crowds. CoRR abs/2311.09665 (2023) - 2022
- [b1]Junjie Hu:
Leveraging Word and Phrase Alignments for Multilingual Learning. Carnegie Mellon University, USA, 2022 - [c32]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 - [c31]Junjie Hu, Hiroaki Hayashi, Kyunghyun Cho, Graham Neubig:
DEEP: DEnoising Entity Pre-training for Neural Machine Translation. ACL (1) 2022: 1753-1766 - [c30]Tuan Dinh, Jy-yong Sohn, Shashank Rajput, Timothy Ossowski, Yifei Ming, Junjie Hu, Dimitris S. Papailiopoulos, Kangwook Lee:
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment. EMNLP (Findings) 2022: 154-168 - [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 - [i31]Tuan Dinh, Jy-yong Sohn, Shashank Rajput, Timothy Ossowski, Yifei Ming, Junjie Hu, Dimitris S. Papailiopoulos, Kangwook Lee:
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment. CoRR abs/2205.11616 (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
- [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 - [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
- [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 - [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)
2010 – 2019
- 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 - [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
- [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) - [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 - [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
- [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 - [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) - 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
Coauthor Index
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