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Publication search results
found 122 matches
- 2023
- Weijia Xu:
Stronger Inductive Biases for Sample-Efficient and Controllable Neural Machine Translation. University of Maryland, College Park, MD, USA, 2023 - Weijia Xu, Sweta Agrawal, Eleftheria Briakou, Marianna J. Martindale, Marine Carpuat:
Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection. CoRR abs/2301.07779 (2023) - Weijia Xu, Andrzej Banburski-Fahey, Nebojsa Jojic:
Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling. CoRR abs/2305.09993 (2023) - Jorge Leandro, Sudha Rao, Michael Xu, Weijia Xu, Nebojsa Jojic, Chris Brockett, Bill Dolan:
GRIM: GRaph-based Interactive narrative visualization for gaMes. CoRR abs/2311.09213 (2023) - 2022
- Maria Esteva, Weijia Xu, Nevan Simone, Kartik Nagpal, Amit Gupta, Moriba K. Jah:
Synchronic Curation for Assessing Reuse and Integration Fitness of Multiple Data Collections. Int. J. Digit. Curation 17(1): 11 (2022) - J. Gregory Pauloski, Lei Huang, Weijia Xu, Kyle Chard, Ian T. Foster, Zhao Zhang:
Deep Neural Network Training With Distributed K-FAC. IEEE Trans. Parallel Distributed Syst. 33(12): 3616-3627 (2022) - Marco Dantas, Diogo Leitão, Peter Cui, Ricardo Macedo, Xinlian Liu, Weijia Xu, João Paulo:
Accelerating Deep Learning Training Through Transparent Storage Tiering. CCGRID 2022: 21-30 - Elsbeth Turcan, David Wan, Faisal Ladhak, Petra Galuscáková, Sukanta Sen, Svetlana Tchistiakova, Weijia Xu, Marine Carpuat, Kenneth Heafield, Douglas W. Oard, Kathleen R. McKeown:
Constrained Regeneration for Cross-Lingual Query-Focused Extractive Summarization. COLING 2022: 2668-2680 - Shaolun Ruan, Yong Wang, Hailong Jiang, Weijia Xu, Qiang Guan:
BatchLens: A Visualization Approach for Analyzing Batch Jobs in Cloud Systems. DATE 2022: 108-111 - Zimo Li, Weijia Xu, Aihua Li:
Research on multi factor stock selection model based on LightGBM and Bayesian Optimization. ITQM 2022: 1234-1240 - 2021
- Aihua Li, Weijia Xu, Zhidong Liu, Yong Shi:
Improved incremental local outlier detection for data streams based on the landmark window model. Knowl. Inf. Syst. 63(8): 2129-2155 (2021) - Marcela K. Tello-Ruiz, Sushma Naithani, Parul Gupta, Andrew Olson, Sharon Wei, Justin Preece, Yinping Jiao, Bo Wang, Kapeel Chougule, Priyanka Garg, Justin Elser, Sunita Kumari, Vivek Kumar, Bruno Contreras-Moreira, Guy Naamati, Nancy George, Justin Cook, Dan M. Bolser, Peter D'Eustachio, Lincoln D. Stein, Amit Gupta, Weijia Xu, Jennifer Regala, Irene Papatheodorou, Paul J. Kersey, Paul Flicek, Crispin Taylor, Pankaj Jaiswal, Doreen Ware:
Gramene 2021: harnessing the power of comparative genomics and pathways for plant research. Nucleic Acids Res. 49(Database-Issue): D1452-D1463 (2021) - Weijia Xu, Marine Carpuat:
EDITOR: an Edit-Based Transformer with Repositioning for Neural Machine Translation with Soft Lexical Constraints. Trans. Assoc. Comput. Linguistics 9: 311-328 (2021) - Sweta Agrawal, Weijia Xu, Marine Carpuat:
A Non-Autoregressive Edit-Based Approach to Controllable Text Simplification. ACL/IJCNLP (Findings) 2021: 3757-3769 - Weijia Xu, Shuming Ma, Dongdong Zhang, Marine Carpuat:
How Does Distilled Data Complexity Impact the Quality and Confidence of Non-Autoregressive Machine Translation? ACL/IJCNLP (Findings) 2021: 4392-4400 - Junfeng Jiao, Seung-Jun Choi, Weijia Xu:
Tracking Property Ownership Variance and Forecasting Housing Price with Machine Learning and Deep Learning. IEEE BigData 2021: 5175-5184 - Marco Dantas, Diogo Leitão, Cláudia Correia, Ricardo Macedo, Weijia Xu, João Paulo:
MONARCH: Hierarchical Storage Management for Deep Learning Frameworks. CLUSTER 2021: 657-663 - Ricardo Macedo, Cláudia Correia, Marco Dantas, Cláudia Brito, Weijia Xu, Yusuke Tanimura, Jason Haga, João Paulo:
The Case for Storage Optimization Decoupling in Deep Learning Frameworks. CLUSTER 2021: 649-656 - Henry A. Gabb, Alexandru Nicolau, Satish Puri, Michael D. Shah, Rahul Toppur, Neftali Watkinson, Weijia Xu, Hui Zhang:
Lightning Talks of EduHPC 2021. EduHPC@SC 2021: 43-50 - Weijia Xu, Marine Carpuat:
Rule-based Morphological Inflection Improves Neural Terminology Translation. EMNLP (1) 2021: 5902-5914 - Weijia Xu, Yuwei Yin, Shuming Ma, Dongdong Zhang, Haoyang Huang:
Improving Multilingual Neural Machine Translation with Auxiliary Source Languages. EMNLP (Findings) 2021: 3029-3041 - Weijia Xu, Aihua Li, Lu Wei:
The Impact of COVID-19 on China's Capital Market and Major Industry Sectors. ITQM 2021: 87-94 - Aihua Li, Qiyuan Zhan, Weijia Xu, Yuejin Zhang:
Research on Tourism Prosperity Index Based on the Power Big Data. WI/IAT (Workshop/Special Session) 2021: 347-352 - Weijia Xu, Shuming Ma, Dongdong Zhang, Marine Carpuat:
How Does Distilled Data Complexity Impact the Quality and Confidence of Non-Autoregressive Machine Translation? CoRR abs/2105.12900 (2021) - Weijia Xu, Batool Haider, Jason Krone, Saab Mansour:
Soft Layer Selection with Meta-Learning for Zero-Shot Cross-Lingual Transfer. CoRR abs/2107.09840 (2021) - Weijia Xu, Marine Carpuat:
Rule-based Morphological Inflection Improves Neural Terminology Translation. CoRR abs/2109.04620 (2021) - Weijia Xu, Heidi Ross, Joel Meyer, Kelly A. Pierce, Natalia Ruiz-Juri, Jennifer C. Duthie:
Recognition and Co-Analysis of Pedestrian Activities in Different Parts of Road using Traffic Camera Video. CoRR abs/2111.13818 (2021) - Shaolun Ruan, Yong Wang, Hailong Jiang, Weijia Xu, Qiang Guan:
BatchLens: A Visualization Approach for Analyzing Batch Jobs in Cloud Systems. CoRR abs/2112.15300 (2021) - 2020
- Ruizhang Huang, Weijia Xu, Yongbin Qin, Yanping Chen:
Hierarchical Dirichlet Multinomial Allocation Model for Multi-Source Document Clustering. IEEE Access 8: 109917-109927 (2020) - Weijia Xu, Maria Esteva, Peter Cui, Eugene Castillo, Kewen Wang, Hanna Robbins Hopkins, Tanya E. Clement, Aaron Choate, Ruizhu Huang:
A Study of Spoken Audio Processing using Machine Learning for Libraries, Archives and Museums (LAM). IEEE BigData 2020: 1939-1948
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