Junjie Hu - RankMe

128 papers A* 12A 2B 3Misc 1Journal 79Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Preferences to Prejudice: The Role of Alignment Tuning in Shaping Social Bias in Video Diffusion Models. Trans. Mach. Learn. Res. Zefan Cai, Haoyi Qiu, Haozhe Zhao, Ke Wan, Jiachen Li, Jiuxiang Gu, Wen Xiao, Nanyun Peng, Junjie Hu
2026	J	`jnl`	Opportunistic Promptable Segmentation: Leveraging Routine Radiological Annotations to Guide 3D CT Lesion Segmentation. CoRR Samuel Church, Joshua D. Warner, Danyal Maqbool, Xin Tie, Junjie Hu, Meghan G. Lubner, Tyler J. Bradshaw
2026	J	`jnl`	SITA: Learning Speaker-Invariant and Tone-Aware Speech Representations for Low-Resource Tonal Languages. CoRR Tianyi Xu, Xuan Ouyang, Binwei Yao, Shoua Xiong, Sara Misurelli, Maichou Lor, Junjie Hu
2025	J	`jnl`	AI as a deliberative partner fosters intercultural empathy for Americans but fails for Latin American participants. CoRR Isabel Villanueva, Tara Bobinac, Binwei Yao, Junjie Hu, Kaiping Chen
2025	J	`jnl`	COMMA: A Communicative Multimodal Multi-Agent Benchmark. Trans. Mach. Learn. Res. Timothy Ossowski, Danyal Maqbool, Jixuan Chen, Zefan Cai, Tyler J. Bradshaw, Junjie Hu
2025	J	`jnl`	DEBATE: A Large-Scale Benchmark for Role-Playing LLM Agents in Multi-Agent, Long-Form Debates. CoRR Yun-Shiuan Chuang, Ruixuan Tu, Chengtao Dai, Smit Vasani, Binwei Yao, Michael Henry Tessler, Sijia Yang, Dhavan Shah, Robert Hawkins, Junjie Hu, Timothy T. Rogers
2025	J	`jnl`	From Preferences to Prejudice: The Role of Alignment Tuning in Shaping Social Bias in Video Diffusion Models. CoRR Zefan Cai, Haoyi Qiu, Haozhe Zhao, Ke Wan, Jiachen Li, Jiuxiang Gu, Wen Xiao, Nanyun Peng, Junjie Hu
2025	J	`jnl`	HeadInfer: Memory-Efficient LLM Inference by Head-wise Offloading. CoRR Cheng Luo, Zefan Cai, Hanshi Sun, Jinqi Xiao, Bo Yuan, Wen Xiao, Junjie Hu, Jiawei Zhao, Beidi Chen, Anima Anandkumar
2025	J	`jnl`	MENTOR: Efficient Multimodal-Conditioned Tuning for Autoregressive Vision Generation Models. CoRR Haozhe Zhao, Zefan Cai, Shuzheng Si, Liang Chen, Jiuxiang Gu, Wen Xiao, Junjie Hu
2025	J	`jnl`	MMGR: Multi-Modal Generative Reasoning. CoRR Zefan Cai, Haoyi Qiu, Tianyi Ma, Haozhe Zhao, Gengze Zhou, Kung-Hsiang Huang, Parisa Kordjamshidi, Minjia Zhang, Wen Xiao, Jiuxiang Gu, Nanyun Peng, Junjie Hu
2025	A*	`conf`	Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity. ICLR Rheeya Uppaal, Apratim Dey, Yiting He, Yiqiao Zhong, Junjie Hu
2025	A*	`conf`	No Preference Left Behind: Group Distributional Preference Optimization. ICLR Binwei Yao, Zefan Cai, Yun-Shiuan Chuang, Shanglin Yang, Ming Jiang, Diyi Yang, Junjie Hu
2025	J	`jnl`	PETAR: Localized Findings Generation with Mask-Aware Vision-Language Modeling for PET Automated Reporting. CoRR Danyal Maqbool, Changhee Lee, Zachary Huemann, Samuel Church, Matthew E. Larson, Scott B. Perlman, Tomas A. Romero, Joshua D. Warner, Meghan G. Lubner, Xin Tie, Jameson Merkow, Junjie Hu, Steve Y. Cho, Tyler J. Bradshaw
2025	A*	`conf`	Probing LLM World Models: Enhancing Guesstimation with Wisdom of Crowds Decoding. EMNLP Yun-Shiuan Chuang, Sameer Narendran, Nikunj Harlalka, Alexander Cheung, Sizhe Gao, Siddharth Suresh, Junjie Hu, Timothy T. Rogers
2025	J	`jnl`	Probing LLM World Models: Enhancing Guesstimation with Wisdom of Crowds Decoding. CoRR Yun-Shiuan Chuang, Nikunj Harlalka, Sameer Narendran, Alexander Cheung, Sizhe Gao, Siddharth Suresh, Junjie Hu, Timothy T. Rogers
2025	J	`jnl`	R-KV: Redundancy-aware KV Cache Compression for Training-Free Reasoning Models Acceleration. CoRR 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
2025	J	`jnl`	Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm. CoRR 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
2025	J	`jnl`	Vision-Language Modeling in PET/CT for Visual Grounding of Positive Findings. CoRR 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
2025	J	`jnl`	VisualToolAgent (VisTA): A Reinforcement Learning Framework for Visual Tool Selection. CoRR Zeyi Huang, Yuyang Ji, Anirudh Sundara Rajan, Zefan Cai, Wen Xiao, Junjie Hu, Yong Jae Lee
2024	J	`jnl`	Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Patients Using a Longitudinally-Aware Segmentation Network. CoRR 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
2024	A*	`conf`	BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment. NeurIPS Jiongxiao Wang, Jiazhao Li, Yiquan Li, Xiangyu Qi, Junjie Hu, Sharon Li, Patrick McDaniel, Muhao Chen, Bo Li, Chaowei Xiao
2024	—	`conf`	Benchmarking Machine Translation with Cultural Awareness. EMNLP (Findings) Binwei Yao, Ming Jiang, Tara Bobinac, Diyi Yang, Junjie Hu
2024	—	`conf`	Beyond Demographics: Aligning Role-playing LLM-based Agents Using Human Belief Networks. EMNLP (Findings) Yun-Shiuan Chuang, Krirk Nirunwiroj, Zach Studdiford, Agam Goyal, Vincent Frigo, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers
2024	J	`jnl`	Beyond Demographics: Aligning Role-playing LLM-based Agents Using Human Belief Networks. CoRR Yun-Shiuan Chuang, Zach Studdiford, Krirk Nirunwiroj, Agam Goyal, Vincent V. Frigo, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers
2024	J	`jnl`	COMMA: A Communicative Multimodal Multi-Agent Benchmark. CoRR Timothy Ossowski, Jixuan Chen, Danyal Maqbool, Zefan Cai, Tyler J. Bradshaw, Junjie Hu
2024	J	`jnl`	ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of Pneumothorax. J. Imaging Inform. Medicine Zachary Huemann, Xin Tie, Junjie Hu, Tyler J. Bradshaw
2024	—	`conf`	Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges. ACL (Findings) Bosheng Ding, Chengwei Qin, Ruochen Zhao, Tianze Luo, Xinze Li, Guizhen Chen, Wenhan Xia, Junjie Hu, Anh Tuan Luu, Shafiq Joty
2024	J	`jnl`	Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges. CoRR Bosheng Ding, Chengwei Qin, Ruochen Zhao, Tianze Luo, Xinze Li, Guizhen Chen, Wenhan Xia, Junjie Hu, Anh Tuan Luu, Shafiq Joty
2024	J	`jnl`	DeTox: Toxic Subspace Projection for Model Editing. CoRR Rheeya Uppaal, Apratim Dey, Yiting He, Yiqiao Zhong, Junjie Hu
2024	J	`jnl`	FEUDA: Frustratingly Easy Prompt Based Unsupervised Domain Adaptation. CoRR Rheeya Uppaal, Yixuan Li, Junjie Hu
2024	J	`jnl`	How Well Do LLMs Identify Cultural Unity in Diversity? CoRR Jialin Li, Junli Wang, Junjie Hu, Ming Jiang
2024	—	`conf`	How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function Classes. NAACL (Short Papers) Harmon Bhasin, Timothy Ossowski, Yiqiao Zhong, Junjie Hu
2024	J	`jnl`	How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function Classes. CoRR Harmon Bhasin, Timothy Ossowski, Yiqiao Zhong, Junjie Hu
2024	J	`jnl`	LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback. CoRR 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
2024	J	`jnl`	Large Language Models Are Active Critics in NLG Evaluation. CoRR Shuying Xu, Junjie Hu, Ming Jiang
2024	—	`conf`	Learning Label Hierarchy with Supervised Contrastive Learning. EACL (Findings) Ruixue Lian, William A. Sethares, Junjie Hu
2024	J	`jnl`	Learning Label Hierarchy with Supervised Contrastive Learning. CoRR Ruixue Lian, William A. Sethares, Junjie Hu
2024	A*	`conf`	Lookahead Exploration with Neural Radiance Representation for Continuous Vision-Language Navigation. CVPR Zihan Wang, Xiangyang Li, Jiahao Yang, Yeqi Liu, Junjie Hu, Ming Jiang, Shuqiang Jiang
2024	J	`jnl`	Lookahead Exploration with Neural Radiance Representation for Continuous Vision-Language Navigation. CoRR Zihan Wang, Xiangyang Li, Jiahao Yang, Yeqi Liu, Junjie Hu, Ming Jiang, Shuqiang Jiang
2024	J	`jnl`	MetaWriter: Exploring the Potential and Perils of AI Writing Support in Scientific Peer Review. Proc. ACM Hum. Comput. Interact. Lu Sun, Stone Tao, Junjie Hu, Steven P. Dow
2024	J	`jnl`	Mitigating Fine-tuning Jailbreak Attack with Backdoor Enhanced Alignment. CoRR Jiongxiao Wang, Jiazhao Li, Yiquan Li, Xiangyu Qi, Junjie Hu, Yixuan Li, Patrick McDaniel, Muhao Chen, Bo Li, Chaowei Xiao
2024	J	`jnl`	No Preference Left Behind: Group Distributional Preference Optimization. CoRR Binwei Yao, Zefan Cai, Yun-Shiuan Chuang, Shanglin Yang, Ming Jiang, Diyi Yang, Junjie Hu
2024	—	`conf`	OLIVE: Object Level In-Context Visual Embeddings. ACL (1) Timothy Ossowski, Junjie Hu
2024	J	`jnl`	OLIVE: Object Level In-Context Visual Embeddings. CoRR Timothy Ossowski, Junjie Hu
2024	J	`jnl`	Personalized Impression Generation for PET Reports Using Large Language Models. J. Imaging Inform. Medicine 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
2024	J	`jnl`	Prompting Large Vision-Language Models for Compositional Reasoning. CoRR Timothy Ossowski, Ming Jiang, Junjie Hu
2024	J	`jnl`	PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling. CoRR Zefan Cai, Yichi Zhang, Bofei Gao, Yuliang Liu, Tianyu Liu, Keming Lu, Wayne Xiong, Yue Dong, Baobao Chang, Junjie Hu, Wen Xiao
2024	B	`conf`	Simulating Opinion Dynamics with Networks of LLM-based Agents. CogSci Yun-Shiuan Chuang, Agam Goyal, Nikunj Harlalka, Siddharth Suresh, Robert Hawkins, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers
2024	—	`conf`	Simulating Opinion Dynamics with Networks of LLM-based Agents. NAACL-HLT (Findings) Yun-Shiuan Chuang, Agam Goyal, Nikunj Harlalka, Siddharth Suresh, Robert Hawkins, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers
2024	B	`conf`	The Wisdom of Partisan Crowds: Comparing Collective Intelligence in Humans and LLM-based Agents. CogSci Yun-Shiuan Chuang, Nikunj Harlalka, Siddharth Suresh, Agam Goyal, Robert Hawkins, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers
2023	J	`jnl`	Automatic Personalized Impression Generation for PET Reports Using Large Language Models. CoRR 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
2023	J	`jnl`	CFBenchmark: Chinese Financial Assistant Benchmark for Large Language Model. CoRR Yang Lei, Jiangtong Li, Ming Jiang, Junjie Hu, Dawei Cheng, Zhijun Ding, Changjun Jiang
2023	J	`jnl`	ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of Pneumothorax. CoRR Zachary Huemann, Junjie Hu, Tyler J. Bradshaw
2023	J	`jnl`	Domain-adapted large language models for classifying nuclear medicine reports. CoRR Zachary Huemann, Changhee Lee, Junjie Hu, Steve Y. Cho, Tyler J. Bradshaw
2023	J	`jnl`	Empowering LLM-based Machine Translation with Cultural Awareness. CoRR Binwei Yao, Ming Jiang, Diyi Yang, Junjie Hu
2023	J	`jnl`	Evaluating LLM Agent Group Dynamics against Human Group Dynamics: A Case Study on Wisdom of Partisan Crowds. CoRR Yun-Shiuan Chuang, Siddharth Suresh, Nikunj Harlalka, Agam Goyal, Robert Hawkins, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers
2023	J	`jnl`	Evolving Domain Adaptation of Pretrained Language Models for Text Classification. CoRR Yun-Shiuan Chuang, Yi Wu, Dhruv Gupta, Rheeya Uppaal, Ananya Kumar, Luhang Sun, Makesh Narsimhan Sreedhar, Sijia Yang, Timothy T. Rogers, Junjie Hu
2023	—	`conf`	Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection. ACL (1) Rheeya Uppaal, Junjie Hu, Yixuan Li
2023	J	`jnl`	Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection. CoRR Rheeya Uppaal, Junjie Hu, Yixuan Li
2023	J	`jnl`	Multimodal Prompt Retrieval for Generative Visual Question Answering. CoRR Timothy Ossowski, Junjie Hu
2023	—	`conf`	Retrieving Multimodal Prompts for Generative Visual Question Answering. ACL (Findings) Timothy Ossowski, Junjie Hu
2023	J	`jnl`	Simulating Opinion Dynamics with Networks of LLM-based Agents. CoRR Yun-Shiuan Chuang, Agam Goyal, Nikunj Harlalka, Siddharth Suresh, Robert Hawkins, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers
2023	J	`jnl`	Video Pivoting Unsupervised Multi-Modal Machine Translation. IEEE Trans. Pattern Anal. Mach. Intell. Mingjie Li, Po-Yao Huang, Xiaojun Chang, Junjie Hu, Yi Yang, Alex Hauptmann
2022	—	`conf`	Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources. EMNLP (Findings) Xinyan Yu, Trina Chatterjee, Akari Asai, Junjie Hu, Eunsol Choi
2022	J	`jnl`	Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources. CoRR Xinyan Velocity Yu, Akari Asai, Trina Chatterjee, Junjie Hu, Eunsol Choi
2022	—	`conf`	DEEP: DEnoising Entity Pre-training for Neural Machine Translation. ACL (1) Junjie Hu, Hiroaki Hayashi, Kyunghyun Cho, Graham Neubig
2022	—	`conf`	GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems. ACL (1) Bosheng Ding, Junjie Hu, Lidong Bing, Sharifah Mahani Aljunied, Shafiq R. Joty, Luo Si, Chunyan Miao
2022	—	`—`	Leveraging Word and Phrase Alignments for Multilingual Learning Junjie Hu
2022	J	`jnl`	MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages. CoRR Akari Asai, Shayne Longpre, Jungo Kasai, Chia-Hsuan Lee, Rui Zhang, Junjie Hu, Ikuya Yamada, Jonathan H. Clark, Eunsol Choi
2022	—	`conf`	Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment. EMNLP (Findings) Tuan Dinh, Jy-yong Sohn, Shashank Rajput, Timothy Ossowski, Yifei Ming, Junjie Hu, Dimitris S. Papailiopoulos, Kangwook Lee
2022	J	`jnl`	Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment. CoRR Tuan Dinh, Jy-yong Sohn, Shashank Rajput, Timothy Ossowski, Yifei Ming, Junjie Hu, Dimitris S. Papailiopoulos, Kangwook Lee
2021	—	`conf`	AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages. EMNLP (1) Machel Reid, Junjie Hu, Graham Neubig, Yutaka Matsuo
2021	J	`jnl`	AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages. CoRR Machel Reid, Junjie Hu, Graham Neubig, Yutaka Matsuo
2021	J	`jnl`	DEEP: DEnoising Entity Pre-training for Neural Machine Translation. CoRR Junjie Hu, Hiroaki Hayashi, Kyunghyun Cho, Graham Neubig
2021	—	`conf`	Explicit Alignment Objectives for Multilingual Bidirectional Encoders. NAACL-HLT Junjie Hu, Melvin Johnson, Orhan Firat, Aditya Siddhant, Graham Neubig
2021	J	`jnl`	GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems. CoRR Bosheng Ding, Junjie Hu, Lidong Bing, Sharifah Aljunied Mahani, Shafiq R. Joty, Luo Si, Chunyan Miao
2021	—	`conf`	Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models. NAACL-HLT Poyao Huang, Mandela Patrick, Junjie Hu, Graham Neubig, Florian Metze, Alex Hauptmann
2021	J	`jnl`	Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models. CoRR Po-Yao Huang, Mandela Patrick, Junjie Hu, Graham Neubig, Florian Metze, Alexander G. Hauptmann
2021	—	`conf`	Phrase-level Active Learning for Neural Machine Translation. WMT@EMNLP Junjie Hu, Graham Neubig
2021	J	`jnl`	Phrase-level Active Learning for Neural Machine Translation. CoRR Junjie Hu, Graham Neubig
2021	—	`conf`	XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation. EMNLP (1) Sebastian Ruder, Noah Constant, Jan A. Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Dan Garrette, Graham Neubig, Melvin Johnson
2021	J	`jnl`	XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation. CoRR Sebastian Ruder, Noah Constant, Jan A. Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Graham Neubig, Melvin Johnson
2020	J	`jnl`	Explicit Alignment Objectives for Multilingual Bidirectional Encoders. CoRR Junjie Hu, Melvin Johnson, Orhan Firat, Aditya Siddhant, Graham Neubig
2020	A*	`conf`	On Learning Language-Invariant Representations for Universal Machine Translation. ICML Han Zhao, Junjie Hu, Andrej Risteski
2020	J	`jnl`	On Learning Language-Invariant Representations for Universal Machine Translation. CoRR Han Zhao, Junjie Hu, Andrej Risteski
2020	—	`conf`	TICO-19: the Translation Initiative for COvid-19. NLP4COVID@EMNLP 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
2020	J	`jnl`	TICO-19: the Translation Initiative for Covid-19. CoRR 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
2020	A*	`conf`	Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting. ACL Po-Yao Huang, Junjie Hu, Xiaojun Chang, Alexander G. Hauptmann
2020	J	`jnl`	Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting. CoRR Po-Yao Huang, Junjie Hu, Xiaojun Chang, Alexander G. Hauptmann
2020	A*	`conf`	What Makes A Good Story? Designing Composite Rewards for Visual Storytelling. AAAI Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig
2020	A*	`conf`	XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation. ICML Junjie Hu, Sebastian Ruder, Aditya Siddhant, Graham Neubig, Orhan Firat, Melvin Johnson
2020	J	`jnl`	XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization. CoRR Junjie Hu, Sebastian Ruder, Aditya Siddhant, Graham Neubig, Orhan Firat, Melvin Johnson
2019	A	`conf`	A Hybrid Retrieval-Generation Neural Conversation Model. CIKM Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu
2019	J	`jnl`	A Hybrid Retrieval-Generation Neural Conversation Model. CoRR Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu
2019	A	`conf`	Deep Generative and Discriminative Domain Adaptation. AAMAS Han Zhao, Junjie Hu, Zhenyao Zhu, Adam Coates, Geoffrey J. Gordon
2019	—	`conf`	Domain Adaptation of Neural Machine Translation by Lexicon Induction. ACL (1) Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime G. Carbonell
2019	J	`jnl`	Domain Adaptation of Neural Machine Translation by Lexicon Induction. CoRR Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime G. Carbonell
2019	—	`conf`	Domain Differential Adaptation for Neural Machine Translation. NGT@EMNLP-IJCNLP Zi-Yi Dou, Xinyi Wang, Junjie Hu, Graham Neubig
2019	J	`jnl`	Domain Differential Adaptation for Neural Machine Translation. CoRR Zi-Yi Dou, Xinyi Wang, Junjie Hu, Graham Neubig
2019	—	`conf`	Handling Syntactic Divergence in Low-resource Machine Translation. EMNLP/IJCNLP (1) Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig
2019	J	`jnl`	Handling Syntactic Divergence in Low-resource Machine Translation. CoRR Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig
2019	—	`conf`	REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning. EMNLP/IJCNLP (1) Ming Jiang, Junjie Hu, Qiuyuan Huang, Lei Zhang, Jana Diesner, Jianfeng Gao
2019	J	`jnl`	REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning. CoRR Ming Jiang, Junjie Hu, Qiuyuan Huang, Lei Zhang, Jana Diesner, Jianfeng Gao
2019	J	`jnl`	The ARIEL-CMU Systems for LoReHLT18. CoRR 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
2019	—	`conf`	Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings. EMNLP/IJCNLP (1) Zi-Yi Dou, Junjie Hu, Antonios Anastasopoulos, Graham Neubig
2019	J	`jnl`	Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings. CoRR Zi-Yi Dou, Junjie Hu, Antonios Anastasopoulos, Graham Neubig
2019	J	`jnl`	What Makes A Good Story? Designing Composite Rewards for Visual Storytelling. CoRR Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig
2019	—	`conf`	compare-mt: A Tool for Holistic Comparison of Language Generation Systems. NAACL-HLT (Demonstrations) Graham Neubig, Zi-Yi Dou, Junjie Hu, Paul Michel, Danish Pruthi, Xinyi Wang
2019	J	`jnl`	compare-mt: A Tool for Holistic Comparison of Language Generation Systems. CoRR Graham Neubig, Zi-Yi Dou, Junjie Hu, Paul Michel, Danish Pruthi, Xinyi Wang
2018	—	`conf`	Automatic Estimation of Simultaneous Interpreter Performance. ACL (2) Craig Stewart, Nikolai Vogler, Junjie Hu, Jordan L. Boyd-Graber, Graham Neubig
2018	J	`jnl`	Automatic Estimation of Simultaneous Interpreter Performance. CoRR Craig Stewart, Nikolai Vogler, Junjie Hu, Jordan L. Boyd-Graber, Graham Neubig
2018	—	`conf`	Contextual Encoding for Translation Quality Estimation. WMT (shared task) Junjie Hu, Wei-Cheng Chang, Yuexin Wu, Graham Neubig
2018	J	`jnl`	Contextual Encoding for Translation Quality Estimation. CoRR Junjie Hu, Wei-Cheng Chang, Yuexin Wu, Graham Neubig
2018	J	`jnl`	Online Nonlinear AUC Maximization for Imbalanced Data Sets. IEEE Trans. Neural Networks Learn. Syst. Junjie Hu, Haiqin Yang, Michael R. Lyu, Irwin King, Anthony Man-Cho So
2018	A*	`conf`	Rapid Adaptation of Neural Machine Translation to New Languages. EMNLP Graham Neubig, Junjie Hu
2018	J	`jnl`	Rapid Adaptation of Neural Machine Translation to New Languages. CoRR Graham Neubig, Junjie Hu
2017	J	`jnl`	Principled Hybrids of Generative and Discriminative Domain Adaptation. CoRR Han Zhao, Zhenyao Zhu, Junjie Hu, Adam Coates, Geoffrey J. Gordon
2017	—	`conf`	Semi-Supervised QA with Generative Domain-Adaptive Nets. ACL (1) Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen
2017	J	`jnl`	Semi-Supervised QA with Generative Domain-Adaptive Nets. CoRR Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen
2017	A*	`conf`	Structural Embedding of Syntactic Trees for Machine Comprehension. EMNLP Rui Liu, Junjie Hu, Wei Wei, Zi Yang, Eric Nyberg
2017	J	`jnl`	Structural Embedding of Syntactic Trees for Machine Comprehension. CoRR Rui Liu, Junjie Hu, Wei Wei, Zi Yang, Eric Nyberg
2017	—	`conf`	Words or Characters? Fine-grained Gating for Reading Comprehension. ICLR (Poster) Zhilin Yang, Bhuwan Dhingra, Ye Yuan, Junjie Hu, William W. Cohen, Ruslan Salakhutdinov
2016	J	`jnl`	Learning Lexical Entries for Robotic Commands using Crowdsourcing. CoRR Junjie Hu, Jean Oh, Anatole Gershman
2016	J	`jnl`	Words or Characters? Fine-grained Gating for Reading Comprehension. CoRR Zhilin Yang, Bhuwan Dhingra, Ye Yuan, Junjie Hu, William W. Cohen, Ruslan Salakhutdinov
2015	—	`conf`	AR-Tracker: Track the Dynamics of Mobile Apps via User Review Mining. SOSE Cuiyun Gao, Hui Xu, Junjie Hu, Yangfan Zhou
2015	A*	`conf`	Kernelized Online Imbalanced Learning with Fixed Budgets. AAAI Junjie Hu, Haiqin Yang, Irwin King, Michael R. Lyu, Anthony Man-Cho So
2014	B	`conf`	Exploiting homophily-based implicit social network to improve recommendation performance. IJCNN Tong Zhao, Junjie Hu, Pinjia He, Hang Fan, Michael R. Lyu, Irwin King
2012	Misc	`conf`	Active learning for imbalance problem using L-GEM of RBFNN. ICMLC Junjie Hu