Weijia Xu

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 81

Top Venues

Publications

Jianwu Wang, Junqi Yin, Mai H. Nguyen, Jingbo Wang, Weijia Xu
Editorial: Big scientific data analytics on HPC and cloud. Frontiers Big Data 7 (2024)
Xiangyu Peng, Jessica Quaye, Weijia Xu, Chris Brockett, Bill Dolan, Nebojsa Jojic, Gabriel DesGarennes, Ken Lobb, Michael Xu, Jorge Leandro, Claire Jin, Sudha Rao
Player-Driven Emergence in LLM-Driven Game Narrative. CoRR (2024)
Yuan Guo, Jun Zhou, Zhenbiao Dong, Huan She, Weijia Xu
Rolling Bearing RUL Prediction Based on Fusion of Multi-Head Attention and Improved TCN-BiLSTM. IEEE Access 12 (2024)
Sudha Rao, Weijia Xu, Michael Xu, Jorge Leandro, Ken Lobb, Gabriel DesGarennes, Chris Brockett, Bill Dolan
Collaborative Quest Completion with LLM-driven Non-Player Characters in Minecraft. CoRR (2024)
Weijia Xu, Sweta Agrawal, Eleftheria Briakou, Marianna J. Martindale, Marine Carpuat
Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection. Trans. Assoc. Comput. Linguistics 11 (2023)
Weijia Xu, Sweta Agrawal, Eleftheria Briakou, Marianna J. Martindale, Marine Carpuat
Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection. CoRR (2023)
Jorge Leandro, Sudha Rao, Michael Xu, Weijia Xu, Nebojsa Jojic, Chris Brockett, Bill Dolan
GRIM: GRaph-based Interactive narrative visualization for gaMes. CoRR (2023)
Weijia Xu, Andrzej Banburski-Fahey, Nebojsa Jojic
Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling. CoRR (2023)
Zimo Li, Weijia Xu, Aihua Li
Research on multi factor stock selection model based on LightGBM and Bayesian Optimization. ITQM (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)
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) (2022)
Shaolun Ruan, Yong Wang, Hailong Jiang, Weijia Xu, Qiang Guan
BatchLens: A Visualization Approach for Analyzing Batch Jobs in Cloud Systems. DATE (2022)
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)
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) (2022)
Weijia Xu, Marine Carpuat
Rule-based Morphological Inflection Improves Neural Terminology Translation. CoRR (2021)
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)
Weijia Xu, Marine Carpuat
EDITOR: an Edit-Based Transformer with Repositioning for Neural Machine Translation with Soft Lexical Constraints. Trans. Assoc. Comput. Linguistics 9 (2021)
Junfeng Jiao, Seung-Jun Choi, Weijia Xu
Tracking Property Ownership Variance and Forecasting Housing Price with Machine Learning and Deep Learning. IEEE BigData (2021)
Marco Dantas, Diogo Leitão, Cláudia Correia, Ricardo Macedo, Weijia Xu, João Paulo
MONARCH: Hierarchical Storage Management for Deep Learning Frameworks. CLUSTER (2021)
Weijia Xu, Batool Haider, Jason Krone, Saab Mansour
Soft Layer Selection with Meta-Learning for Zero-Shot Cross-Lingual Transfer. CoRR (2021)
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)
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 (2021)
Weijia Xu, Shuming Ma, Dongdong Zhang, Marine Carpuat
How Does Distilled Data Complexity Impact the Quality and Confidence of Non-Autoregressive Machine Translation? CoRR (2021)
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)
Weijia Xu, Marine Carpuat
Rule-based Morphological Inflection Improves Neural Terminology Translation. EMNLP (1) (2021)
Weijia Xu, Yuwei Yin, Shuming Ma, Dongdong Zhang, Haoyang Huang
Improving Multilingual Neural Machine Translation with Auxiliary Source Languages. EMNLP (Findings) (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) (2021)
Shaolun Ruan, Yong Wang, Hailong Jiang, Weijia Xu, Qiang Guan
BatchLens: A Visualization Approach for Analyzing Batch Jobs in Cloud Systems. CoRR (2021)
Sweta Agrawal, Weijia Xu, Marine Carpuat
A Non-Autoregressive Edit-Based Approach to Controllable Text Simplification. ACL/IJCNLP (Findings) (2021)
Weijia Xu, Aihua Li, Lu Wei
The Impact of COVID-19 on China's Capital Market and Major Industry Sectors. ITQM (2021)
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)
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) (2021)
Maria Esteva, Weijia Xu, Nevan Simone, Amit Gupta, Moriba K. Jah
Modeling Data Curation to Scientific Inquiry: A Case Study for Multimodal Data Integration. JCDL (2020)
J. Gregory Pauloski, Zhao Zhang, Lei Huang, Weijia Xu, Ian T. Foster
Convolutional Neural Network Training with Distributed K-FAC. CoRR (2020)
Jian Xu, Sunkyu Kim, Min Song, Minbyul Jeong, Donghyeon Kim, Jaewoo Kang, Justin F. Rousseau, Xin Li, Weijia Xu, Vetle I. Torvik, Yi Bu, Chongyan Chen, Islam Akef Ebeid, Daifeng Li, Ying Ding
Building a PubMed knowledge graph. CoRR (2020)
Weijia Xu, Batool Haider, Saab Mansour
End-to-End Slot Alignment and Recognition for Cross-Lingual NLU. CoRR (2020)
Weijia Xu, Batool Haider, Saab Mansour
End-to-End Slot Alignment and Recognition for Cross-Lingual NLU. EMNLP (1) (2020)
Aihua Li, Weijia Xu, Yong Shi
A New Data Fusion Framework of Business Intelligence and Analytics in Economy, Finance and Management. WI/IAT (2020)
Weijia Xu, Xing Niu, Marine Carpuat
Dual Reconstruction: a Unifying Objective for Semi-Supervised Neural Machine Translation. EMNLP (Findings) (2020)
Weijia Xu, Xing Niu, Marine Carpuat
Dual Reconstruction: a Unifying Objective for Semi-Supervised Neural Machine Translation. CoRR (2020)
Weijia Xu, Marine Carpuat
EDITOR: an Edit-Based Transformer with Repositioning for Neural Machine Translation with Soft Lexical Constraints. CoRR (2020)
Ruizhang Huang, Weijia Xu, Yongbin Qin, Yanping Chen
Hierarchical Dirichlet Multinomial Allocation Model for Multi-Source Document Clustering. IEEE Access 8 (2020)
J. Gregory Pauloski, Zhao Zhang, Lei Huang, Weijia Xu, Ian T. Foster
Convolutional neural network training with distributed K-FAC. SC (2020)
Weijia Xu, Maria Esteva, Peter Cui, Eugene Castillo, Kewen Wang, Hanna Robbins Hopkins, Tanya Clement, Aaron Choate, Ruizhu Huang
A Study of Spoken Audio Processing using Machine Learning for Libraries, Archives and Museums (LAM). IEEE BigData (2020)
Maria Esteva, Tanya Clement, Weijia Xu, Aaron Choate, Hannah Robbins Hopkins
AI4AV (Artificial Intelligence for Audiovisual): Design and Evaluation of a Shared System for LAMs. DH (2020)
Weijia Xu, Natalia Ruiz-Juri, Kelly A. Pierce, Ruizhu Huang, Joel Meyer, Jen Duthie
Detecting Pedestrian Crossing Events in Large Video Data from Traffic Monitoring Cameras. IEEE BigData (2019)
Weijia Xu, Xing Niu, Marine Carpuat
Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation. NAACL-HLT (1) (2019)
Zihan Jiang, Wanling Gao, Lei Wang, Xingwang Xiong, Yuchen Zhang, Xu Wen, Chunjie Luo, Hainan Ye, Yunquan Zhang, Shengzhong Feng, Kenli Li, Weijia Xu, Jianfeng Zhan
HPC AI500: A Benchmark Suite for HPC AI Systems. CoRR (2019)
Maria Esteva, Ramona L. Walls, Andrew B. Magill, Weijia Xu, Ruizhu Huang, James D. Carson, Jawon Song
Identifier Services: Modeling and Implementing Distributed Data Management in Cyberinfrastructure. Data Inf. Manag. 3 (1) (2019)
Weijia Xu, Xing Niu, Marine Carpuat
Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation. CoRR (2019)
Ruizhang Huang, Yingxue Zhu, Yanping Chen, Yue Yang, Weijia Xu, Jian Yang, Yaru Meng
Adjusting the Inheritance of Topic for Dynamic Document Clustering. NCTCS (2019)
Amit Gupta, Weijia Xu, Pankaj Jaiswal, Crispin Taylor, Jennifer Regala
Extracting Domain Information using Deep Learning. PEARC (2019)
Xing Niu, Weijia Xu, Marine Carpuat
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation. NAACL-HLT (1) (2019)
Douglas W. Oard, Marine Carpuat, Petra Galuscáková, Joseph Barrow, Suraj Nair, Xing Niu, Han-Chin Shing, Weijia Xu, Elena Zotkina, Kathleen R. McKeown, Smaranda Muresan, Efsun Selin Kayi, Ramy Eskander, Chris Kedzie, Yan Virin, Dragomir R. Radev, Rui Zhang, Mark J. F. Gales, Anton Ragni, Kenneth Heafield
Surprise Languages: Rapid-Response Cross-Language IR. EVIA@NTCIR (2019)
Zhao Zhang, Lei Huang, Ruizhu Huang, Weijia Xu, Daniel S. Katz
Quantifying the Impact of Memory Errors in Deep Learning. CLUSTER (2019)
Weijia Xu, Maria Esteva, Jessica Trelogan, Dan Wu
Special Issue on Cyberinfrastructure, Machine Learning, and Digital Library. Data Inf. Manag. 3 (1) (2019)
Weijia Xu, Amit Gupta, Pankaj Jaiswal, Crispin Taylor, Patti Lockhart, Jennifer Regala
Improving Publication Pipeline with Automated Biological Entity Detection and Validation Service. Data Inf. Manag. 3 (1) (2019)
Ruizhu Huang, Weijia Xu, Yinzhi Wang, Silvia Liverani, Ann E. Stapleton
Performance Comparison of Julia Distributed Implementations of Dirichlet Process Mixture Models. IEEE BigData (2019)
Amit Gupta, Weijia Xu, Pankaj Jaiswal, Crispin Taylor, Jennifer Regala
Domain Informational Vocabulary Extraction Experiences with Publication Pipeline Integration and Ontology Curation. ICBO (2018)
Weijia Xu, Ruizhu Huang, Yige Wang
Enabling User Driven Web Applications on Remote Computing Resource. SERVICES (2018)
Yige Wang, Ruizhu Huang, Weijia Xu
Authentication with User Driven Web Application for Accessing Remote Resources. PEARC (2018)
Weijia Xu, Marine Carpuat
The University of Maryland's Chinese-English Neural Machine Translation Systems at WMT18. WMT (shared task) (2018)
Zihan Jiang, Wanling Gao, Lei Wang, Xingwang Xiong, Yuchen Zhang, Xu Wen, Chunjie Luo, Hainan Ye, Xiaoyi Lu, Yunquan Zhang, Shengzhong Feng, Kenli Li, Weijia Xu, Jianfeng Zhan
HPC AI500: A Benchmark Suite for HPC AI Systems. Bench (2018)
Yanzhe Cheng, Fang (Cherry) Liu, Shan Jing, Weijia Xu, Duen Horng Chau
Building Big Data Processing and Visualization Pipeline through Apache Zeppelin. PEARC (2018)
Ruizhu Huang, Weijia Xu, Silvia Liverani, Dave Hiltbrand, Ann E. Stapleton
A Case Study of R Performance Analysis and Optimization. PEARC (2018)
Fang (Cherry) Liu, Yuanjie Sun, Adele Yunlan Sun, Weijia Xu
Integrated HPC Scheduler Data Processing Workflow using Apache Zeppelin. IEEE BigData (2018)
Xing Niu, Weijia Xu, Marine Carpuat
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation. CoRR (2018)
Weijia Xu, Ruizhu Huang, Yige Wang
Enabling User Driven Big Data Application on Remote Computing Resources. IEEE BigData (2018)
Weijia Xu, Maria Esteva, Jessica Trelogan
Cyberinfrastructure for Digital Libraries and Archives: Integrating Data Management, Analysis, and Publication. JCDL (2018)
Weijia Xu, Maria Esteva, Deborah Beck, Yi-Hsuan Hsieh
A Portable Strategy for Preserving Web Applications Functionality. JCDL (2017)
Ziwei Zhu, Weijia Xu, Wei He
Big data system for information aggregation and model comparison for precison medicine. IEEE BigData (2017)
Lei Huang, Weijia Xu, Si Liu, Venktesh Pandey, Natalia Ruiz-Juri
Enabling versatile analysis of large scale traffic video data with deep learning and HiveQL. IEEE BigData (2017)
Fang (Cherry) Liu, Weijia Xu, Mehmet Belgin, Ruizhu Huang, Blake C. Fleischer
Insights into Research Computing Operations using Big Data-Powered Log Analysis. PEARC (2017)
Ruizhu Huang, Weijia Xu, Robert McLay
A web interface for XALT log data analysis. XSEDE (2016)
Li Yang, Weijia Xu
Computation-Aided Analysis on Film Credits. DH (2016)
Weijia Xu, Natalia Ruiz-Juri, Amit Gupta, Amanda Deering, Chandra R. Bhat, James Kuhr, Jackson Archer
Supporting large scale connected vehicle data analysis using HIVE. IEEE BigData (2016)
Maria Esteva, Sandra Sweat, Robert McLay, Weijia Xu, Sivakumar Kulasekaran
Data Curation with a Focus on Reuse. JCDL (2016)
Weijia Xu, Amit Gupta, Pankaj Jaiswal, Crispin Taylor, Patti Lockhart
Enhancing Information Accessibility of Publications with Text Mining and Ontology. ICBO/BioCreative (2016)
Weijia Xu, Amit Gupta, Pankaj Jaiswal, Crispin Taylor, Patti Lockhart
A Web Application for Extracting Key Domain Information for Scientific Publications Using Ontology. ICBO/BioCreative (2016)
Weijia Xu, Ruizhu Huang, Maria Esteva, Jawon Song, Ramona L. Walls
Content-based comparison for collections identification. IEEE BigData (2016)
Amit Gupta, Weijia Xu, Natalia Ruiz-Juri, Kenneth Perrine
A workload aware model of computational resource selection for big data applications. IEEE BigData (2016)
Ruizhu Huang, Weijia Xu
Performance evaluation of enabling logistic regression for big data with R. IEEE BigData (2015)
Yu Qian, Hyunsoo Kim, Shweta Purawat, Jianwu Wang, Rick Stanton, Alexandra Lee, Weijia Xu, Ilkay Altintas, Robert S. Sinkovits, Richard H. Scheuermann
FlowGate: towards extensible and scalable web-based flow cytometry data analysis. XSEDE (2015)
Christopher Jordan, David Walling, Weijia Xu, Stephen A. Mock, Niall Gaffney, Dan Stanzione
Wrangler's user environment: A software framework for management of data-intensive computing system. IEEE BigData (2015)
Bo Shen, Han-Chieh Chao, Weijia Xu
Multi-Column Query Method Research and Optimization on HBase. KMO (2015)
Weijia Xu, Wei Luo, Nicholas Woodward, Yan Zhang
Supporting Data Driven Access through Automatic Keyword Extraction and Summarization. BigData Congress (2015)
Weijia Xu, Maria Esteva, Suyog Dott Jain, Varun Jain
Interactive visualization for curatorial analysis of large digital collection. Inf. Vis. 13 (2) (2014)
Amit Gupta, Weijia Xu, Kenneth Perrine, Dennis Bell, Natalia Ruiz-Juri
On scaling time dependent shortest path computations for Dynamic Traffic Assignment. IEEE BigData (2014)
Lee Parnell Thompson, Weijia Xu, Daniel P. Miranker
The Adaptive Projection Forest: Using adjustable exclusion and parallelism in metric space indexes. IEEE BigData (2014)
Yaakoub El Khamra, Niall Gaffney, David Walling, Eric A. Wernert, Weijia Xu, Hui Zhang
Performance evaluation of R with Intel Xeon Phi coprocessor. IEEE BigData (2013)
Maria Esteva, Jessica Trelogan, Weijia Xu, Andrew J. Solis, Nicholas E. Lauland
Lost in the Data, Aerial Views of an Archaeological Collection. DH (2013)
Maria Esteva, Jeffrey Felix Tang, Weijia Xu, Karthik Anantha Padmanabhan
Data mining for "big archives" analysis: A case study. ASIST (2013)
Lei Shang, David P. Gardner, Weijia Xu, Jamie J. Cannone, Daniel P. Miranker, Stuart Ozer, Robin Ray Gutell
Two accurate sequence, structure, and phylogenetic template-based RNA alignment systems. BMC Syst. Biol. 7 (S-4) (2013)
Weijia Xu, Maria Esteva, Jessica Trelogan, Todd Swinson
A case study on entity Resolution for Distant Processing of big Humanities data. IEEE BigData (2013)
Lee Parnell Thompson, Weijia Xu, Daniel P. Miranker
Fast scalable selection algorithms for large scale data. IEEE BigData (2013)
Weijia Xu, Wei Luo, Nicholas Woodward
Analysis and Optimization of Data Import with Hadoop. IPDPS Workshops (2012)
Bretagne Abirached, Wei Luo, Weijia Xu, Yan Zhang
Designing an Interface for Exploring Online Autism Support Communities. AMIA (2012)
David P. Gardner, Weijia Xu, Daniel P. Miranker, Stuart Ozer, Jamie J. Cannone, Robin Ray Gutell
An accurate scalable template-based alignment algorithm. BIBM (2012)
Nicholas Joel Woodward, Weijia Xu, Kent Norsworthy
On automatically tagging web documents from examples. SIGIR (2012)
Weijia Xu, Maria Esteva, Suyog Dott Jain, Varun Jain
Analysis of large digital collections with interactive visualization. IEEE VAST (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Weijia Xu