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2020 – today
- 2024
- [j21]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: 95641-95658 (2024) - [j20]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) - [c89]Jorge Leandro, Sudha Rao, Michael Xu, Weijia Xu, Nebojsa Jojic, Chris Brockett, Bill Dolan:
GENEVA: GENErating and Visualizing branching narratives using LLMs. CoG 2024: 1-5 - [c88]Xiangyu Peng, Jessica Quaye, Sudha Rao, Weijia Xu, Portia Botchway, Chris Brockett, Nebojsa Jojic, Gabriel DesGarennes, Ken Lobb, Michael Xu, Jorge Leandro, Claire Jin, Bill Dolan:
Player-Driven Emergence in LLM-Driven Game Narrative. CoG 2024: 1-8 - [c87]Weijia Xu, Andrzej Banburski, Nebojsa Jojic:
Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling. ICML 2024 - [i19]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 abs/2404.17027 (2024) - [i18]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 abs/2407.03460 (2024) - [i17]Weijia Xu, Nebojsa Jojic, Nicolas Le Roux:
fPLSA: Learning Semantic Structures in Document Collections Using Foundation Models. CoRR abs/2410.05481 (2024) - 2023
- [b1]Weijia Xu:
Stronger Inductive Biases for Sample-Efficient and Controllable Neural Machine Translation. University of Maryland, College Park, MD, USA, 2023 - [j19]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: 546-564 (2023) - [i16]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) - [i15]Weijia Xu, Andrzej Banburski-Fahey, Nebojsa Jojic:
Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling. CoRR abs/2305.09993 (2023) - [i14]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
- [j18]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) - [j17]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) - [c86]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 - [c85]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 - [c84]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 - [c83]Zimo Li, Weijia Xu, Aihua Li:
Research on multi factor stock selection model based on LightGBM and Bayesian Optimization. ITQM 2022: 1234-1240 - 2021
- [j16]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) - [j15]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) - [j14]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) - [c82]Sweta Agrawal, Weijia Xu, Marine Carpuat:
A Non-Autoregressive Edit-Based Approach to Controllable Text Simplification. ACL/IJCNLP (Findings) 2021: 3757-3769 - [c81]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 - [c80]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 - [c79]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 - [c78]Marco Dantas, Diogo Leitão, Cláudia Correia, Ricardo Macedo, Weijia Xu, João Paulo:
MONARCH: Hierarchical Storage Management for Deep Learning Frameworks. CLUSTER 2021: 657-663 - [c77]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 - [c76]Weijia Xu, Yuwei Yin, Shuming Ma, Dongdong Zhang, Haoyang Huang:
Improving Multilingual Neural Machine Translation with Auxiliary Source Languages. EMNLP (Findings) 2021: 3029-3041 - [c75]Weijia Xu, Marine Carpuat:
Rule-based Morphological Inflection Improves Neural Terminology Translation. EMNLP (1) 2021: 5902-5914 - [c74]Weijia Xu, Aihua Li, Lu Wei:
The Impact of COVID-19 on China's Capital Market and Major Industry Sectors. ITQM 2021: 87-94 - [c73]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 - [i13]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) - [i12]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) - [i11]Weijia Xu, Marine Carpuat:
Rule-based Morphological Inflection Improves Neural Terminology Translation. CoRR abs/2109.04620 (2021) - [i10]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) - [i9]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
- [j13]Ruizhang Huang, Weijia Xu, Yongbin Qin, Yanping Chen:
Hierarchical Dirichlet Multinomial Allocation Model for Multi-Source Document Clustering. IEEE Access 8: 109917-109927 (2020) - [c72]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 - [c71]Maria Esteva, Tanya E. Clement, Weijia Xu, Aaron Choate, Hannah Robbins Hopkins:
AI4AV (Artificial Intelligence for Audiovisual): Design and Evaluation of a Shared System for LAMs. DH 2020 - [c70]Weijia Xu, Xing Niu, Marine Carpuat:
Dual Reconstruction: a Unifying Objective for Semi-Supervised Neural Machine Translation. EMNLP (Findings) 2020: 2006-2020 - [c69]Weijia Xu, Batool Haider, Saab Mansour:
End-to-End Slot Alignment and Recognition for Cross-Lingual NLU. EMNLP (1) 2020: 5052-5063 - [c68]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: 235-242 - [c67]J. Gregory Pauloski, Zhao Zhang, Lei Huang, Weijia Xu, Ian T. Foster:
Convolutional neural network training with distributed K-FAC. SC 2020: 94 - [c66]Aihua Li, Weijia Xu, Yong Shi:
A New Data Fusion Framework of Business Intelligence and Analytics in Economy, Finance and Management. WI/IAT 2020: 940-945 - [i8]Weijia Xu, Batool Haider, Saab Mansour:
End-to-End Slot Alignment and Recognition for Cross-Lingual NLU. CoRR abs/2004.14353 (2020) - [i7]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 abs/2005.04308 (2020) - [i6]J. Gregory Pauloski, Zhao Zhang, Lei Huang, Weijia Xu, Ian T. Foster:
Convolutional Neural Network Training with Distributed K-FAC. CoRR abs/2007.00784 (2020) - [i5]Weijia Xu, Xing Niu, Marine Carpuat:
Dual Reconstruction: a Unifying Objective for Semi-Supervised Neural Machine Translation. CoRR abs/2010.03412 (2020) - [i4]Weijia Xu, Marine Carpuat:
EDITOR: an Edit-Based Transformer with Repositioning for Neural Machine Translation with Soft Lexical Constraints. CoRR abs/2011.06868 (2020)
2010 – 2019
- 2019
- [j12]Weijia Xu, Maria Esteva, Jessica Trelogan, Dan Wu:
Special Issue on Cyberinfrastructure, Machine Learning, and Digital Library. Data Inf. Manag. 3(1): 1-2 (2019) - [j11]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): 3-17 (2019) - [j10]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): 26-39 (2019) - [c65]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: 3350-3354 - [c64]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: 3824-3831 - [c63]Zhao Zhang, Lei Huang, Ruizhu Huang, Weijia Xu, Daniel S. Katz:
Quantifying the Impact of Memory Errors in Deep Learning. CLUSTER 2019: 1-12 - [c62]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 - [c61]Xing Niu, Weijia Xu, Marine Carpuat:
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation. NAACL-HLT (1) 2019: 442-448 - [c60]Weijia Xu, Xing Niu, Marine Carpuat:
Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation. NAACL-HLT (1) 2019: 2047-2053 - [c59]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: 46-63 - [c58]Amit Gupta, Weijia Xu, Pankaj Jaiswal, Crispin Taylor, Jennifer Regala:
Extracting Domain Information using Deep Learning. PEARC 2019: 67:1-67:7 - [i3]Weijia Xu, Xing Niu, Marine Carpuat:
Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation. CoRR abs/1904.04079 (2019) - [i2]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 abs/1908.02607 (2019) - 2018
- [c57]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: 10-22 - [c56]Fang (Cherry) Liu, Yuanjie Sun, Adele Yunlan Sun, Weijia Xu:
Integrated HPC Scheduler Data Processing Workflow using Apache Zeppelin. IEEE BigData 2018: 4254-4260 - [c55]Weijia Xu, Ruizhu Huang, Yige Wang:
Enabling User Driven Big Data Application on Remote Computing Resources. IEEE BigData 2018: 4276-4284 - [c54]Amit Gupta, Weijia Xu, Pankaj Jaiswal, Crispin Taylor, Jennifer Regala:
Domain Informational Vocabulary Extraction Experiences with Publication Pipeline Integration and Ontology Curation. ICBO 2018 - [c53]Weijia Xu, Maria Esteva, Jessica Trelogan:
Cyberinfrastructure for Digital Libraries and Archives: Integrating Data Management, Analysis, and Publication. JCDL 2018: 423-424 - [c52]Weijia Xu, Ruizhu Huang, Yige Wang:
Enabling User Driven Web Applications on Remote Computing Resource. SERVICES 2018: 49-50 - [c51]Weijia Xu, Marine Carpuat:
The University of Maryland's Chinese-English Neural Machine Translation Systems at WMT18. WMT (shared task) 2018: 535-540 - [c50]Yige Wang, Ruizhu Huang, Weijia Xu:
Authentication with User Driven Web Application for Accessing Remote Resources. PEARC 2018: 2:1-2:7 - [c49]Ruizhu Huang, Weijia Xu, Silvia Liverani, Dave Hiltbrand, Ann E. Stapleton:
A Case Study of R Performance Analysis and Optimization. PEARC 2018: 33:1-33:6 - [c48]Yanzhe Cheng, Fang (Cherry) Liu, Shan Jing, Weijia Xu, Duen Horng Chau:
Building Big Data Processing and Visualization Pipeline through Apache Zeppelin. PEARC 2018: 57:1-57:7 - [i1]Xing Niu, Weijia Xu, Marine Carpuat:
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation. CoRR abs/1811.01116 (2018) - 2017
- [c47]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: 1153-1162 - [c46]Ziwei Zhu, Weijia Xu, Wei He:
Big data system for information aggregation and model comparison for precison medicine. IEEE BigData 2017: 4878-4880 - [c45]Weijia Xu, Maria Esteva, Deborah Beck, Yi-Hsuan Hsieh:
A Portable Strategy for Preserving Web Applications Functionality. JCDL 2017: 233-236 - [c44]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: 31:1-31:8 - 2016
- [c43]Amit Gupta, Weijia Xu, Natalia Ruiz-Juri, Kenneth Perrine:
A workload aware model of computational resource selection for big data applications. IEEE BigData 2016: 2243-2250 - [c42]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: 2296-2304 - [c41]Weijia Xu, Ruizhu Huang, Maria Esteva, Jawon Song, Ramona L. Walls:
Content-based comparison for collections identification. IEEE BigData 2016: 3283-3289 - [c40]Li Yang, Weijia Xu:
Computation-Aided Analysis on Film Credits. DH 2016: 717-720 - [c39]Weijia Xu, Amit Gupta, Pankaj Jaiswal, Crispin Taylor, Patti Lockhart:
Enhancing Information Accessibility of Publications with Text Mining and Ontology. ICBO/BioCreative 2016 - [c38]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 - [c37]Maria Esteva, Sandra Sweat, Robert T. McLay, Weijia Xu, Sivakumar Kulasekaran:
Data Curation with a Focus on Reuse. JCDL 2016: 45-54 - [c36]Ruizhu Huang, Weijia Xu, Robert T. McLay:
A web interface for XALT log data analysis. XSEDE 2016: 31:1-31:8 - [e1]James Joshi, George Karypis, Ling Liu, Xiaohua Hu, Ronay Ak, Yinglong Xia, Weijia Xu, Aki-Hiro Sato, Sudarsan Rachuri, Lyle H. Ungar, Philip S. Yu, Rama Govindaraju, Toyotaro Suzumura:
2016 IEEE International Conference on Big Data (IEEE BigData 2016), Washington DC, USA, December 5-8, 2016. IEEE Computer Society 2016, ISBN 978-1-4673-9005-7 [contents] - 2015
- [c35]Weijia Xu, Wei Luo, Nicholas Woodward, Yan Zhang:
Supporting Data Driven Access through Automatic Keyword Extraction and Summarization. BigData Congress 2015: 704-707 - [c34]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: 2479-2486 - [c33]Ruizhu Huang, Weijia Xu:
Performance evaluation of enabling logistic regression for big data with R. IEEE BigData 2015: 2517-2524 - [c32]Bo Shen, Han-Chieh Chao, Weijia Xu:
Multi-Column Query Method Research and Optimization on HBase. KMO 2015: 414-421 - [c31]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: 5:1-5:8 - 2014
- [j9]Weijia Xu, Maria Esteva, Suyog Dott Jain, Varun Jain:
Interactive visualization for curatorial analysis of large digital collection. Inf. Vis. 13(2): 159-183 (2014) - [c30]Lee Parnell Thompson, Weijia Xu, Daniel P. Miranker:
The Adaptive Projection Forest: Using adjustable exclusion and parallelism in metric space indexes. IEEE BigData 2014: 615-620 - [c29]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: 796-801 - 2013
- [j8]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): S13 (2013) - [c28]Maria Esteva, Jeffrey Felix Tang, Weijia Xu, Karthik Anantha Padmanabhan:
Data mining for "big archives" analysis: A case study. ASIST 2013: 1-10 - [c27]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: 23-30 - [c26]Weijia Xu, Maria Esteva, Jessica Trelogan, Todd Swinson:
A case study on entity Resolution for Distant Processing of big Humanities data. IEEE BigData 2013: 113-120 - [c25]Lee Parnell Thompson, Weijia Xu, Daniel P. Miranker:
Fast scalable selection algorithms for large scale data. IEEE BigData 2013: 412-420 - [c24]Maria Esteva, Jessica Trelogan, Weijia Xu, Andrew J. Solis, Nicholas E. Lauland:
Lost in the Data, Aerial Views of an Archaeological Collection. DH 2013: 174-176 - 2012
- [c23]Bretagne Abirached, Wei Luo, Weijia Xu, Yan Zhang:
Designing an Interface for Exploring Online Autism Support Communities. AMIA 2012 - [c22]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: 1-7 - [c21]Weijia Xu, Wei Luo, Nicholas Woodward:
Analysis and Optimization of Data Import with Hadoop. IPDPS Workshops 2012: 1058-1066 - [c20]Nicholas Joel Woodward, Weijia Xu, Kent Norsworthy:
On automatically tagging web documents from examples. SIGIR 2012: 1111-1112 - 2011
- [j7]Maria Esteva, Weijia Xu, Suyog Dott Jain, Jennifer L. Lee, Wendy K. Martin:
Assessing the Preservation Condition of Large and Heterogeneous Electronic Records Collections with Visualization. Int. J. Digit. Curation 6(1): 45-57 (2011) - [j6]Weijia Xu, Maria Esteva:
Finding stories in the archive through paragraph alignment. Lit. Linguistic Comput. 26(3): 359-363 (2011) - [c19]Weijia Xu, Ame Wongsa, Jung Lee, Lei Shang, Jamie J. Cannone, Robin Ray Gutell:
RNA2DMap: A Visual Exploration Tool of the Information in RNA's Higher-Order Structure. BIBM 2011: 613-617 - [c18]Yanan Jiang, Weijia Xu, Lee Parnell Thompson, Robin Ray Gutell, Daniel P. Miranker:
R-PASS: A Fast Structure-Based RNA Sequence Alignment Algorithm. BIBM 2011: 618-622 - [c17]Stuart Ozer, Kishore J. Doshi, Weijia Xu, Robin Ray Gutell:
rCAD: A Novel Database Schema for the Comparative Analysis of RNA. eScience 2011: 15-22 - [c16]Jae Hyeon Bae, Weijia Xu, Maria Esteva:
Facilitating Understanding of Large Document Collections. ICDAR 2011: 1334-1338 - [c15]