Leveraging Method Call Anomalies to Improve the Effectiveness of Spectrum-Based Fault Localization Techniques for Object-Oriented Programs. - Jingxuan Tu; Lin Chen 015; Yuming Zhou; Jianjun Zhao 001; Baowen Xu (QSIC, 2012)

A Method of Optimizing Django Based on Greedy Strategy. - Jian Chou; Lin Chen 015; Hui Ding; Jingxuan Tu; Baowen Xu (IEEE WISA, 2013)

Bottom-up Integration Testing with the Technique of Metamorphic Testing. - Xiaoyuan Xie; Jingxuan Tu; Tsong Yueh Chen; Baowen Xu (QSIC, 2014)

Code Coverage-Based Failure Proximity without Test Oracles. - Jingxuan Tu; Xiaoyuan Xie; Baowen Xu (COMPSAC, 2016)

A Search Based Context-Aware Approach for Understanding and Localizing the Fault via Weighted Call Graph. - Jingxuan Tu; Xiaoyuan Xie; Yuming Zhou; Baowen Xu; Lin Chen 015 (TSA, 2016)

On the analysis of spectrum based fault localization using hitting sets. - Jingxuan Tu; Xiaoyuan Xie; Tsong Yueh Chen; Baowen Xu (J. Syst. Softw., 2019)

Reproducing Neural Ensemble Classifier for Semantic Relation Extraction inScientific Papers. - Kyeongmin Rim; Jingxuan Tu; Kelley Lynch; James Pustejovsky (LREC, 2020)

COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. - Qingyun Wang 005; Manling Li; Xuan Wang 008; Nikolaus Nova Parulian; Guangxing Han; Jiawei Ma; Jingxuan Tu; Ying Lin; Haoran Zhang 004; Weili Liu; Aabhas Chauhan; Yingjun Guan; et al. (CoRR, 2020)

TMR: Evaluating NER Recall on Tough Mentions. - Jingxuan Tu; Constantine Lignos (EACL (Student Research Workshop), 2021)

Exploration and Discovery of the COVID-19 Literature through Semantic Visualization. - Jingxuan Tu; Marc Verhagen; Brent Cochran; James Pustejovsky (NAACL-HLT (Student Research Workshop), 2021)

COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. - Qingyun Wang 005; Manling Li; Xuan Wang 008; Nikolaus Nova Parulian; Guangxing Han; Jiawei Ma; Jingxuan Tu; Ying Lin; Haoran Zhang 004; Weili Liu; Aabhas Chauhan; Yingjun Guan; et al. (NAACL-HLT (Demonstrations), 2021)

Designing Multimodal Datasets for NLP Challenges. - James Pustejovsky; Eben Holderness; Jingxuan Tu; Parker Glenn; Kyeongmin Rim; Kelley Lynch; Richard Brutti (CoRR, 2021)

Interpreting Logical Metonymy through Dense Paraphrasing. - Bingyang Ye; Jingxuan Tu; Elisabetta Jezek; James Pustejovsky (CogSci, 2022)

Competence-based Question Generation. - Jingxuan Tu; Kyeongmin Rim; James Pustejovsky (COLING, 2022)

Evaluating Retrieval for Multi-domain Scientific Publications. - Nancy Ide; Keith Suderman; Jingxuan Tu; Marc Verhagen; Shanan Peters; Ian Ross; John Lawson; Andrew Borg; James Pustejovsky (LREC, 2022)

SemEval-2022 Task 9: R2VQ - Competence-based Multimodal Question Answering. - Jingxuan Tu; Eben Holderness; Marco Maru; Simone Conia; Kyeongmin Rim; Kelley Lynch; Richard Brutti; Roberto Navigli; James Pustejovsky (SemEval@NAACL, 2022)

RPL Based Emergency Routing Protocol for Smart Buildings. - Rong-Guei Tsai; Pei-Hsuan Tsai; Guan-Rong Shih; Jingxuan Tu (IEEE Access, 2022)

Dense Paraphrasing for Textual Enrichment. - Jingxuan Tu; Kyeongmin Rim; Eben Holderness; James Pustejovsky (CoRR, 2022)

The Coreference under Transformation Labeling Dataset: Entity Tracking in Procedural Texts Using Event Models. - Kyeongmin Rim; Jingxuan Tu; Bingyang Ye; Marc Verhagen; Eben Holderness; James Pustejovsky (ACL (Findings), 2023)

Linguistically Conditioned Semantic Textual Similarity. - Jingxuan Tu; Keer Xu; Liulu Yue; Bingyang Ye; Kyeongmin Rim; James Pustejovsky (ACL (1), 2024)

Common Ground Tracking in Multimodal Dialogue. - Ibrahim Khalil Khebour; Kenneth Lai; Mariah Bradford; Yifan Zhu; Richard Brutti; Christopher Tam; Jingxuan Tu; Benjamin Ibarra; Nathaniel Blanchard; Nikhil Krishnaswamy; James Pustejovsky (LREC/COLING, 2024)

GLAMR: Augmenting AMR with GL-VerbNet Event Structure. - Jingxuan Tu; Timothy Obiso; Bingyang Ye; Kyeongmin Rim; Keer Xu; Liulu Yue; Susan Windisch Brown; Martha Palmer; James Pustejovsky (LREC/COLING, 2024)

Propositional Extraction from Natural Speech in Small Group Collaborative Tasks. - Videep Venkatesha; Abhijnan Nath; Ibrahim Khebour; Avyakta Chelle; Mariah Bradford; Jingxuan Tu; James Pustejovsky; Nathaniel Blanchard; Nikhil Krishnaswamy (EDM, 2024)

Media Attitude Detection via Framing Analysis with Events and their Relations. - Jin Zhao 009; Jingxuan Tu; Han Du; Nianwen Xue (EMNLP, 2024)

HaRMoNEE at SemEval-2024 Task 6: Tuning-based Approaches to Hallucination Recognition. - Timothy Obiso; Jingxuan Tu; James Pustejovsky (SemEval@NAACL, 2024)

Dense Paraphrasing for multimodal dialogue interpretation. - Jingxuan Tu; Kyeongmin Rim; Bingyang Ye; Kenneth Lai; James Pustejovsky (Frontiers Artif. Intell., 2024)

Beyond Benchmarks: Building a Richer Cross-Document Event Coreference Dataset with Decontextualization. - Jin Zhao 009; Jingxuan Tu; Bingyang Ye; Xinrui Hu; Nianwen Xue; James Pustejovsky (NAACL (Long Papers), 2025)

TRACE: Real-Time Multimodal Common Ground Tracking in Situated Collaborative Dialogues. - Hannah VanderHoeven; Brady Bhalla; Ibrahim Khebour; Austin Youngren; Videep Venkatesha; Mariah Bradford; Jack Fitzgerald; Carlos Mabrey; Jingxuan Tu; Yifan Zhu; Kenneth Lai; Changsoo Jung; et al. (CoRR, 2025)