MoBIoS: A Metric-Space DBMS to Support Biological Discovery. - Daniel P. Miranker; Weijia Xu; Rui Mao 001 (SSDBM, 2003)

Using MoBIoS' scalable genome join to find conserved primer pair candidates between two genomes. - Weijia Xu; Willard J. Briggs; Joanna Padolina; Ruth E. Timme; Wenguo Liu 003; C. Randal Linder; Daniel P. Miranker (ISMB/ECCB (Supplement of Bioinformatics), 2004)

A metric model of amino acid substitution. - Weijia Xu; Daniel P. Miranker (Bioinform., 2004)

Biosequence Use Cases in MoBIoS SQL. - Daniel P. Miranker; Willard J. Briggs; Rui Mao 001; Shulin Ni; Weijia Xu (IEEE Data Eng. Bull., 2004)

On Optimizing Distance-Based Similarity Search for Biological Databases. - Rui Mao 001; Weijia Xu; Smriti R. Ramakrishnan; Glen Nuckolls; Daniel P. Miranker (CSB, 2005)

An Assessment of a Metric Space Database Index to Support Sequence Homology. - Rui Mao 001; Weijia Xu; Neha Singh 001; Daniel P. Miranker (Int. J. Artif. Intell. Tools, 2005)

On Integrating Peptide Sequence Analysis and Relational Distance-Based Indexing. - Weijia Xu; Rui Mao 001; Shu Wang; Daniel P. Miranker (BIBE, 2006)

A fast coarse filtering method for peptide identification by mass spectrometry. - Smriti R. Ramakrishnan; Rui Mao 001; Aleksey A. Nakorchevskiy; John T. Prince; Willard S. Willard; Weijia Xu; Edward M. Marcotte; Daniel P. Miranker (Bioinform., 2006)

Anytime k-nearest neighbor search for database applications. - Weijia Xu; Daniel P. Miranker; Rui Mao 001; Smriti R. Ramakrishnan (ICDE Workshops, 2008)

Composing and executing parallel data-flow graphs with shell pipes. - Edward Walker; Weijia Xu; Vinoth Chandar (SC-WORKS, 2009)

Covariant Evolutionary Event Analysis for Base Interaction Prediction Using a Relational Database Management System for RNA. - Weijia Xu; Stuart Ozer; Robin Ray Gutell (SSDBM, 2009)

Visual Representation of Multiple Associations in Data using Constrained Graph Layout. - Weijia Xu; Jaya Sreevalsan-Nair (TPCG, 2009)

Distributed, Scalable Clustering for Detecting Halos in Terascale Astronomy Datasets. - Srivatsava Daruru; Sankari Dhandapani; Gunjan Gupta; Ilian Iliev; Weijia Xu; Paul A. Navrátil; Nena M. Marin; Joydeep Ghosh (ICDM Workshops, 2010)

Visualizing personal digital collections. - Weijia Xu; Maria Esteva; Suyog Dott Jain (JCDL, 2010)

R-PASS: A Fast Structure-Based RNA Sequence Alignment Algorithm. - Yanan Jiang; Weijia Xu; Lee Parnell Thompson; Robin Ray Gutell; Daniel P. Miranker (BIBM, 2011)

RNA2DMap: A Visual Exploration Tool of the Information in RNA's Higher-Order Structure. - Weijia Xu; Ame Wongsa; Jung Lee; Lei Shang; Jamie J. Cannone; Robin Ray Gutell (BIBM, 2011)

rCAD: A Novel Database Schema for the Comparative Analysis of RNA. - Stuart Ozer; Kishore J. Doshi; Weijia Xu; Robin Ray Gutell (eScience, 2011)

Facilitating Understanding of Large Document Collections. - Jae Hyeon Bae; Weijia Xu; Maria Esteva (ICDAR, 2011)

Analysis of large digital collections with interactive visualization. - Weijia Xu; Maria Esteva; Suyog Dott Jain; Varun Jain (IEEE VAST, 2011)

Integrating multi-touch in high-resolution display environments. - Brandt M. Westing; Benjamin Urick; Maria Esteva; Freddy Rojas; Weijia Xu (SC State of the Practice Reports, 2011)

Assessing the Preservation Condition of Large and Heterogeneous Electronic Records Collections with Visualization. - Maria Esteva; Weijia Xu; Suyog Dott Jain; Jennifer L. Lee; Wendy K. Martin (Int. J. Digit. Curation, 2011)

Finding stories in the archive through paragraph alignment. - Weijia Xu; Maria Esteva (Lit. Linguistic Comput., 2011)

Designing an Interface for Exploring Online Autism Support Communities. - Bretagne Abirached; Wei Luo; Weijia Xu; Yan Zhang 005 (AMIA, 2012)

An accurate scalable template-based alignment algorithm. - David P. Gardner; Weijia Xu; Daniel P. Miranker; Stuart Ozer; Jamie J. Cannone; Robin Ray Gutell (BIBM, 2012)

Analysis and Optimization of Data Import with Hadoop. - Weijia Xu; Wei Luo; Nicholas Woodward (IPDPS Workshops, 2012)

On automatically tagging web documents from examples. - Nicholas Joel Woodward; Weijia Xu; Kent Norsworthy (SIGIR, 2012)

Data mining for "big archives" analysis: A case study. - Maria Esteva; Jeffrey Felix Tang; Weijia Xu; Karthik Anantha Padmanabhan (ASIST, 2013)

Performance evaluation of R with Intel Xeon Phi coprocessor. - Yaakoub El Khamra; Niall Gaffney; David Walling; Eric A. Wernert; Weijia Xu; Hui Zhang 006 (IEEE BigData, 2013)

Fast scalable selection algorithms for large scale data. - Lee Parnell Thompson; Weijia Xu; Daniel P. Miranker (IEEE BigData, 2013)

A case study on entity Resolution for Distant Processing of big Humanities data. - Weijia Xu; Maria Esteva; Jessica Trelogan; Todd Swinson (IEEE BigData, 2013)

Lost in the Data, Aerial Views of an Archaeological Collection. - Maria Esteva; Jessica Trelogan; Weijia Xu; Andrew J. Solis; Nicholas E. Lauland (DH, 2013)

Two accurate sequence, structure, and phylogenetic template-based RNA alignment systems. - Lei Shang; David P. Gardner; Weijia Xu; Jamie J. Cannone; Daniel P. Miranker; Stuart Ozer; Robin Ray Gutell (BMC Syst. Biol., 2013)

On scaling time dependent shortest path computations for Dynamic Traffic Assignment. - Amit Gupta; Weijia Xu; Kenneth Perrine; Dennis Bell; Natalia Ruiz-Juri (IEEE BigData, 2014)

The Adaptive Projection Forest: Using adjustable exclusion and parallelism in metric space indexes. - Lee Parnell Thompson; Weijia Xu; Daniel P. Miranker (IEEE BigData, 2014)

Interactive visualization for curatorial analysis of large digital collection. - Weijia Xu; Maria Esteva; Suyog Dott Jain; Varun Jain (Inf. Vis., 2014)

Supporting Data Driven Access through Automatic Keyword Extraction and Summarization. - Weijia Xu; Wei Luo; Nicholas Woodward; Yan Zhang 005 (BigData Congress, 2015)

Performance evaluation of enabling logistic regression for big data with R. - Ruizhu Huang; Weijia Xu (IEEE BigData, 2015)

Wrangler's user environment: A software framework for management of data-intensive computing system. - Christopher Jordan; David Walling; Weijia Xu; Stephen A. Mock; Niall Gaffney; Dan Stanzione (IEEE BigData, 2015)

Multi-Column Query Method Research and Optimization on HBase. - Bo Shen 004; Han-Chieh Chao; Weijia Xu (KMO, 2015)

FlowGate: towards extensible and scalable web-based flow cytometry data analysis. - Yu Qian; Hyunsoo Kim; Shweta Purawat; Jianwu Wang 001; Rick Stanton; Alexandra Lee; Weijia Xu; Ilkay Altintas; Robert S. Sinkovits; Richard H. Scheuermann (XSEDE, 2015)

A workload aware model of computational resource selection for big data applications. - Amit Gupta; Weijia Xu; Natalia Ruiz-Juri; Kenneth Perrine (IEEE BigData, 2016)

Content-based comparison for collections identification. - Weijia Xu; Ruizhu Huang; Maria Esteva; Jawon Song; Ramona L. Walls (IEEE BigData, 2016)

Supporting large scale connected vehicle data analysis using HIVE. - Weijia Xu; Natalia Ruiz-Juri; Amit Gupta; Amanda Deering; Chandra R. Bhat; James Kuhr; Jackson Archer (IEEE BigData, 2016)

Computation-Aided Analysis on Film Credits. - Li Yang; Weijia Xu (DH, 2016)

Enhancing Information Accessibility of Publications with Text Mining and Ontology. - Weijia Xu; Amit Gupta; Pankaj Jaiswal; Crispin Taylor; Patti Lockhart (ICBO/BioCreative, 2016)

A Web Application for Extracting Key Domain Information for Scientific Publications Using Ontology. - Weijia Xu; Amit Gupta; Pankaj Jaiswal; Crispin Taylor; Patti Lockhart (ICBO/BioCreative, 2016)

Data Curation with a Focus on Reuse. - Maria Esteva; Sandra Sweat; Robert T. McLay; Weijia Xu; Sivakumar Kulasekaran (JCDL, 2016)

A web interface for XALT log data analysis. - Ruizhu Huang; Weijia Xu; Robert T. McLay (XSEDE, 2016)

Enabling versatile analysis of large scale traffic video data with deep learning and HiveQL. - Lei Huang 019; Weijia Xu; Si Liu; Venktesh Pandey; Natalia Ruiz-Juri (IEEE BigData, 2017)

Big data system for information aggregation and model comparison for precison medicine. - Ziwei Zhu; Weijia Xu; Wei He (IEEE BigData, 2017)

A Portable Strategy for Preserving Web Applications Functionality. - Weijia Xu; Maria Esteva; Deborah Beck; Yi-Hsuan Hsieh (JCDL, 2017)

Insights into Research Computing Operations using Big Data-Powered Log Analysis. - Fang (Cherry) Liu; Weijia Xu; Mehmet Belgin; Ruizhu Huang; Blake C. Fleischer (PEARC, 2017)

HPC AI500: A Benchmark Suite for HPC AI Systems. - Zihan Jiang; Wanling Gao; Lei Wang 004; Xingwang Xiong; Yuchen Zhang; Xu Wen; Chunjie Luo; Hainan Ye; Xiaoyi Lu; Yunquan Zhang; Shengzhong Feng; Kenli Li 001; et al. (Bench, 2018)

Integrated HPC Scheduler Data Processing Workflow using Apache Zeppelin. - Fang (Cherry) Liu; Yuanjie Sun; Adele Yunlan Sun; Weijia Xu (IEEE BigData, 2018)

Enabling User Driven Big Data Application on Remote Computing Resources. - Weijia Xu; Ruizhu Huang; Yige Wang (IEEE BigData, 2018)

Domain Informational Vocabulary Extraction Experiences with Publication Pipeline Integration and Ontology Curation. - Amit Gupta; Weijia Xu; Pankaj Jaiswal; Crispin Taylor; Jennifer Regala (ICBO, 2018)

Cyberinfrastructure for Digital Libraries and Archives: Integrating Data Management, Analysis, and Publication. - Weijia Xu; Maria Esteva; Jessica Trelogan (JCDL, 2018)

Enabling User Driven Web Applications on Remote Computing Resource. - Weijia Xu; Ruizhu Huang; Yige Wang (SERVICES, 2018)

The University of Maryland's Chinese-English Neural Machine Translation Systems at WMT18. - Weijia Xu; Marine Carpuat (WMT (shared task), 2018)

Building Big Data Processing and Visualization Pipeline through Apache Zeppelin. - Yanzhe Cheng; Fang (Cherry) Liu; Shan Jing; Weijia Xu; Duen Horng Chau (PEARC, 2018)

A Case Study of R Performance Analysis and Optimization. - Ruizhu Huang; Weijia Xu; Silvia Liverani; Dave Hiltbrand; Ann E. Stapleton (PEARC, 2018)

Authentication with User Driven Web Application for Accessing Remote Resources. - Yige Wang; Ruizhu Huang; Weijia Xu (PEARC, 2018)

Performance Comparison of Julia Distributed Implementations of Dirichlet Process Mixture Models. - Ruizhu Huang; Weijia Xu; Yinzhi Wang; Silvia Liverani; Ann E. Stapleton (IEEE BigData, 2019)

Detecting Pedestrian Crossing Events in Large Video Data from Traffic Monitoring Cameras. - Weijia Xu; Natalia Ruiz-Juri; Kelly A. Pierce; Ruizhu Huang; Joel Meyer; Jen Duthie (IEEE BigData, 2019)

Quantifying the Impact of Memory Errors in Deep Learning. - Zhao Zhang 007; Lei Huang 019; Ruizhu Huang; Weijia Xu; Daniel S. Katz (CLUSTER, 2019)

Surprise Languages: Rapid-Response Cross-Language IR. - Douglas W. Oard; Marine Carpuat; Petra Galuscáková; Joseph Barrow; Suraj Nair 001; Xing Niu 001; Han-Chin Shing; Weijia Xu; Elena Zotkina; Kathleen R. McKeown; Smaranda Muresan; Efsun Selin Kayi; et al. (EVIA@NTCIR, 2019)

Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation. - Xing Niu 001; Weijia Xu; Marine Carpuat (NAACL-HLT (1), 2019)

Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation. - Weijia Xu; Xing Niu 001; Marine Carpuat (NAACL-HLT (1), 2019)

Adjusting the Inheritance of Topic for Dynamic Document Clustering. - Ruizhang Huang; Yingxue Zhu; Yanping Chen 010; Yue Yang; Weijia Xu; Jian Yang; Yaru Meng (NCTCS, 2019)

Extracting Domain Information using Deep Learning. - Amit Gupta; Weijia Xu; Pankaj Jaiswal; Crispin Taylor; Jennifer Regala (PEARC, 2019)

HPC AI500: A Benchmark Suite for HPC AI Systems. - Zihan Jiang; Wanling Gao; Lei Wang 004; Xingwang Xiong; Yuchen Zhang; Xu Wen; Chunjie Luo; Hainan Ye; Yunquan Zhang; Shengzhong Feng; Kenli Li 001; Weijia Xu; et al. (CoRR, 2019)

Identifier Services: Modeling and Implementing Distributed Data Management in Cyberinfrastructure. - Maria Esteva; Ramona L. Walls; Andrew B. Magill; Weijia Xu; Ruizhu Huang; James D. Carson; Jawon Song (Data Inf. Manag., 2019)

Special Issue on Cyberinfrastructure, Machine Learning, and Digital Library. - Weijia Xu; Maria Esteva; Jessica Trelogan; Dan Wu 003 (Data Inf. Manag., 2019)

Improving Publication Pipeline with Automated Biological Entity Detection and Validation Service. - Weijia Xu; Amit Gupta; Pankaj Jaiswal; Crispin Taylor; Patti Lockhart; Jennifer Regala (Data Inf. Manag., 2019)

A Study of Spoken Audio Processing using Machine Learning for Libraries, Archives and Museums (LAM). - Weijia Xu; Maria Esteva; Peter Cui; Eugene Castillo; Kewen Wang 004; Hanna Robbins Hopkins; Tanya E. Clement; Aaron Choate; Ruizhu Huang (IEEE BigData, 2020)

AI4AV (Artificial Intelligence for Audiovisual): Design and Evaluation of a Shared System for LAMs. - Maria Esteva; Tanya E. Clement; Weijia Xu; Aaron Choate; Hannah Robbins Hopkins (DH, 2020)

End-to-End Slot Alignment and Recognition for Cross-Lingual NLU. - Weijia Xu; Batool Haider; Saab Mansour (EMNLP (1), 2020)

Dual Reconstruction: a Unifying Objective for Semi-Supervised Neural Machine Translation. - Weijia Xu; Xing Niu 001; Marine Carpuat (EMNLP (Findings), 2020)

Modeling Data Curation to Scientific Inquiry: A Case Study for Multimodal Data Integration. - Maria Esteva; Weijia Xu; Nevan Simone; Amit Gupta; Moriba K. Jah (JCDL, 2020)

Convolutional neural network training with distributed K-FAC. - J. Gregory Pauloski; Zhao Zhang 007; Lei Huang 019; Weijia Xu; Ian T. Foster (SC, 2020)

A New Data Fusion Framework of Business Intelligence and Analytics in Economy, Finance and Management. - Aihua Li; Weijia Xu; Yong Shi 001 (WI/IAT, 2020)

Hierarchical Dirichlet Multinomial Allocation Model for Multi-Source Document Clustering. - Ruizhang Huang; Weijia Xu; Yongbin Qin; Yanping Chen 010 (IEEE Access, 2020)

Building a PubMed knowledge graph. - Jian Xu 003; Sunkyu Kim; Min Song 001; Minbyul Jeong; Donghyeon Kim; Jaewoo Kang; Justin F. Rousseau; Xin Li 091; Weijia Xu; Vetle I. Torvik; Yi Bu 001; Chongyan Chen; et al. (CoRR, 2020)

A Non-Autoregressive Edit-Based Approach to Controllable Text Simplification. - Sweta Agrawal; Weijia Xu; Marine Carpuat (ACL/IJCNLP (Findings), 2021)

How Does Distilled Data Complexity Impact the Quality and Confidence of Non-Autoregressive Machine Translation? - Weijia Xu; Shuming Ma; Dongdong Zhang 001; Marine Carpuat (ACL/IJCNLP (Findings), 2021)

Tracking Property Ownership Variance and Forecasting Housing Price with Machine Learning and Deep Learning. - Junfeng Jiao; Seung-Jun Choi; Weijia Xu (IEEE BigData, 2021)

MONARCH: Hierarchical Storage Management for Deep Learning Frameworks. - Marco Dantas; Diogo Leitão; Cláudia Correia; Ricardo Macedo; Weijia Xu; João Paulo 001 (CLUSTER, 2021)

The Case for Storage Optimization Decoupling in Deep Learning Frameworks. - Ricardo Macedo; Cláudia Correia; Marco Dantas; Cláudia Brito; Weijia Xu; Yusuke Tanimura; Jason Haga; João Paulo 001 (CLUSTER, 2021)

Lightning Talks of EduHPC 2021. - Henry A. Gabb; Alexandru Nicolau; Satish Puri; Michael D. Shah; Rahul Toppur; Neftali Watkinson; Weijia Xu; Hui Zhang 006 (EduHPC@SC, 2021)

Rule-based Morphological Inflection Improves Neural Terminology Translation. - Weijia Xu; Marine Carpuat (EMNLP (1), 2021)

Improving Multilingual Neural Machine Translation with Auxiliary Source Languages. - Weijia Xu; Yuwei Yin; Shuming Ma; Dongdong Zhang 001; Haoyang Huang (EMNLP (Findings), 2021)

The Impact of COVID-19 on China's Capital Market and Major Industry Sectors. - Weijia Xu; Aihua Li; Lu Wei (ITQM, 2021)

Research on Tourism Prosperity Index Based on the Power Big Data. - Aihua Li; Qiyuan Zhan; Weijia Xu; Yuejin Zhang (WI/IAT (Workshop/Special Session), 2021)

Soft Layer Selection with Meta-Learning for Zero-Shot Cross-Lingual Transfer. - Weijia Xu; Batool Haider; Jason Krone; Saab Mansour (CoRR, 2021)

Recognition and Co-Analysis of Pedestrian Activities in Different Parts of Road using Traffic Camera Video. - Weijia Xu; Heidi Ross; Joel Meyer; Kelly A. Pierce; Natalia Ruiz-Juri; Jennifer C. Duthie (CoRR, 2021)

Improved incremental local outlier detection for data streams based on the landmark window model. - Aihua Li; Weijia Xu; Zhidong Liu; Yong Shi 001 (Knowl. Inf. Syst., 2021)

Gramene 2021: harnessing the power of comparative genomics and pathways for plant research. - Marcela K. Tello-Ruiz; Sushma Naithani; Parul Gupta; Andrew Olson; Sharon Wei; Justin Preece; Yinping Jiao; Bo Wang 117; Kapeel Chougule; Priyanka Garg; Justin Elser; Sunita Kumari; et al. (Nucleic Acids Res., 2021)

EDITOR: an Edit-Based Transformer with Repositioning for Neural Machine Translation with Soft Lexical Constraints. - Weijia Xu; Marine Carpuat (Trans. Assoc. Comput. Linguistics, 2021)

Accelerating Deep Learning Training Through Transparent Storage Tiering. - Marco Dantas; Diogo Leitão; Peter Cui; Ricardo Macedo; Xinlian Liu; Weijia Xu; João Paulo 001 (CCGRID, 2022)

Constrained Regeneration for Cross-Lingual Query-Focused Extractive Summarization. - Elsbeth Turcan; David Wan; Faisal Ladhak; Petra Galuscáková; Sukanta Sen; Svetlana Tchistiakova; Weijia Xu; Marine Carpuat; Kenneth Heafield; Douglas W. Oard; Kathleen R. McKeown (COLING, 2022)

BatchLens: A Visualization Approach for Analyzing Batch Jobs in Cloud Systems. - Shaolun Ruan; Yong Wang 021; Hailong Jiang; Weijia Xu; Qiang Guan (DATE, 2022)

Research on multi factor stock selection model based on LightGBM and Bayesian Optimization. - Zimo Li; Weijia Xu; Aihua Li (ITQM, 2022)

Synchronic Curation for Assessing Reuse and Integration Fitness of Multiple Data Collections. - Maria Esteva; Weijia Xu; Nevan Simone; Kartik Nagpal; Amit Gupta; Moriba K. Jah (Int. J. Digit. Curation, 2022)

Deep Neural Network Training With Distributed K-FAC. - J. Gregory Pauloski; Lei Huang 019; Weijia Xu; Kyle Chard; Ian T. Foster; Zhao Zhang 007 (IEEE Trans. Parallel Distributed Syst., 2022)

GRIM: GRaph-based Interactive narrative visualization for gaMes. - Jorge Leandro; Sudha Rao; Michael Xu; Weijia Xu; Nebojsa Jojic; Chris Brockett; Bill Dolan (CoRR, 2023)

Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection. - Weijia Xu; Sweta Agrawal; Eleftheria Briakou; Marianna J. Martindale; Marine Carpuat (Trans. Assoc. Comput. Linguistics, 2023)

Stronger Inductive Biases for Sample-Efficient and Controllable Neural Machine Translation. - Weijia Xu (2023)

GENEVA: GENErating and Visualizing branching narratives using LLMs. - Jorge Leandro; Sudha Rao; Michael Xu; Weijia Xu; Nebojsa Jojic; Chris Brockett; Bill Dolan (CoG, 2024)

Player-Driven Emergence in LLM-Driven Game Narrative. - Xiangyu Peng; Jessica Quaye; Sudha Rao; Weijia Xu; Portia Botchway; Chris Brockett; Nebojsa Jojic; Gabriel DesGarennes; Ken Lobb; Michael Xu; Jorge Leandro; Claire Jin; et al. (CoG, 2024)

Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling. - Weijia Xu; Andrzej Banburski; Nebojsa Jojic (ICML, 2024)

Rolling Bearing RUL Prediction Based on Fusion of Multi-Head Attention and Improved TCN-BiLSTM. - Yuan Guo; Jun Zhou; Zhenbiao Dong; Huan She; Weijia Xu (IEEE Access, 2024)

Player-Driven Emergence in LLM-Driven Game Narrative. - Xiangyu Peng; Jessica Quaye; Weijia Xu; Chris Brockett; Bill Dolan; Nebojsa Jojic; Gabriel DesGarennes; Ken Lobb; Michael Xu; Jorge Leandro; Claire Jin; Sudha Rao (CoRR, 2024)

Collaborative Quest Completion with LLM-driven Non-Player Characters in Minecraft. - Sudha Rao; Weijia Xu; Michael Xu; Jorge Leandro; Ken Lobb; Gabriel DesGarennes; Chris Brockett; Bill Dolan (CoRR, 2024)

fPLSA: Learning Semantic Structures in Document Collections Using Foundation Models. - Weijia Xu; Nebojsa Jojic; Nicolas Le Roux (CoRR, 2024)

Game Plot Design with an LLM-powered Assistant: An Empirical Study with Game Designers. - Seyed Hossein Alavi; Weijia Xu; Nebojsa Jojic; Daniel Kennett; Raymond T. Ng; Sudha Rao; Haiyan Zhang; Bill Dolan; Vered Shwartz (CoRR, 2024)

Editorial: Big scientific data analytics on HPC and cloud. - Jianwu Wang; Junqi Yin; Mai H. Nguyen; Jingbo Wang; Weijia Xu (Frontiers Big Data, 2024)

Token Graph Generation for Robust Named Entity Recognition. - Wenjia Wu; Shuzi Niu; Ziwei Li; Tao Yuan; Weijia Xu (WWW (Companion Volume), 2025)

Echoes in AI: Quantifying Lack of Plot Diversity in LLM Outputs. - Weijia Xu; Nebojsa Jojic; Sudha Rao; Chris Brockett; Bill Dolan (CoRR, 2025)

Qwen2.5-1M Technical Report. - An Yang; Bowen Yu 002; Chengyuan Li; Dayiheng Liu; Fei Huang 005; Haoyan Huang; Jiandong Jiang; Jianhong Tu; Jianwei Zhang 012; Jingren Zhou 001; Junyang Lin; Kai Dang; et al. (CoRR, 2025)

The Combined Problem of Online Task Assignment and Lifelong Path Finding in Logistics Warehouses: A Case Study. - Fengming Zhu; Fangzhen Lin; Weijia Xu; Yifei Guo (CoRR, 2025)