A Technique of Analyzing Trust Relationships to Facilitate Scientific Service Discovery and Recommendation. - Jia Zhang 001; Petr Votava; Tsengdar J. Lee; Shrikant Adhikarla; Isaraporn Cherry Kulkumjon; Matthew Schlau; Divya Natesan; Ramakrishna R. Nemani (IEEE SCC, 2013)

Bridging VisTrails Scientific Workflow Management System to High Performance Computing. - Jia Zhang 001; Petr Votava; Tsengdar J. Lee; Owen Chu; Clyde Li; David Liu; Kate Liu; Norman Xin; Ramakrishna R. Nemani (SERVICES, 2013)

A Community-Driven Workflow Recommendations and Reuse Infrastructure. - Jia Zhang 001; Chris Lee 002; Sean Xiao; Petr Votava; Tsengdar J. Lee; Ramakrishna R. Nemani; Ian T. Foster (SOSE, 2014)

Climate Analytics Workflow Recommendation as a Service - Provenance-Driven Automatic Workflow Mashup. - Jia Zhang 001; Wei Wang 208; Xing Wei; Chris Lee 002; Seungwon Lee; Lei Pan; Tsengdar J. Lee (ICWS, 2015)

A community-oriented workflow reuse and recommendation technique. - Jia Zhang 001; Chris Lee 002; Petr Votava; Tsengdar J. Lee; Ramakrishna R. Nemani; Ian T. Foster (Int. J. Bus. Process. Integr. Manag., 2015)

A Trust-Powered Technique to Facilitate Scientific Tool Discovery and Recommendation. - Jia Zhang 001; Chris Lee 002; Petr Votava; Tsengdar J. Lee; Shuai Wang; Venkatesh Sriram; Neeraj Saini; Pujita Rao; Ramakrishna R. Nemani (Int. J. Web Serv. Res., 2015)

A Bloom Filter-Powered Technique Supporting Scalable Semantic Service Discovery in Service Networks. - Jia Zhang 001; Runyu Shi; Weiyi Wang; Shenggu Lu; Yuanchen Bai; Qihao Bao; Tsengdar J. Lee; Kiran Nagaraja; Nimish Radia (ICWS, 2016)

A Fine-Grained API Link Prediction Approach Supporting Mashup Recommendation. - Qihao Bao; Jia Zhang 001; Xiaoyi Duan; Rahul Ramachandran; Tsengdar J. Lee; Yankai Zhang; Yuhao Xu; Seungwon Lee; Lei Pan; Patrick Gatlin; Manil Maskey (ICWS, 2017)

Linking Design-Time and Run-Time: A Graph-Based Uniform Workflow Provenance Model. - Xiaoyi Duan; Jia Zhang 001; Qihao Bao; Rahul Ramachandran; Tsengdar J. Lee; Seungwon Lee; Lei Pan (ICWS, 2017)

Facilitating Data-Centric Recommendation in Knowledge Graph. - Jia Zhang 001; Maryam Pourreza; Rahul Ramachandran; Tsengdar J. Lee; Patrick Gatlin; Manil Maskey; Amanda Marie Weigel (CIC, 2018)

Unit of Work Supporting Generative Scientific Workflow Recommendation. - Jia Zhang 001; Maryam Pourreza; Seungwon Lee; Ramakrishna R. Nemani; Tsengdar J. Lee (ICSOC, 2018)

A Neural Network-Powered Cognitive Method of Identifying Semantic Entities in Earth Science Papers. - Xiaoyi Duan; Jia Zhang 001; Rahul Ramachandran; Patrick Gatlin; Manil Maskey; Jeffrey J. Miller; Kaylin M. Bugbee; Tsengdar J. Lee (ICCC, 2018)

GeoNEX: A Geostationary Earth Observatory at NASA Earth Exchange: Earth Monitoring from Operational Geostationary Satellite Systems. - Ramakrishna R. Nemani; Weile Wang; Hirofumi Hashimoto; Andrew R. Michaelis; Thomas Vandal; Alexei I. Lyapustin; Jia Zhang 001; Tsengdar J. Lee; Satya Kalluri; Hideaki Takenaka; Atsushi Higuchi; Kazuhito Ichii; et al. (IGARSS, 2020)

Augmenting Data Systems with Prediction based Embeddings. - Rahul Ramachandran; Muthukumaran Ramasubramanian; Iksha Gurung; Carson Davis; Derek Koehl; Manil Maskey; Tsengdar J. Lee (IGARSS, 2021)

Graph Convolutional Network-Strengthened Topic Modeling for Scientific Papers. - Jia Zhang 001; Junhao Shen; Beichen Hu; Rahul Ramachandran; Tsengdar J. Lee; Kwo-Sen Kuo; Manil Maskey; Seungwon Lee (SMDS, 2021)

Learning Context-Aware Service Representation for Service Recommendation in Workflow Composition. - Xihao Xie; Jia Zhang 001; Rahul Ramachandran; Tsengdar J. Lee; Seungwon Lee (ICIS, 2022)

Goal-Driven Context-Aware Service Recommendation for Mashup Development. - Xihao Xie; Jia Zhang 001; Rahul Ramachandran; Tsengdar J. Lee; Seungwon Lee (SNPD, 2022)

Goal-Driven Context-Aware Next Service Recommendation for Mashup Composition. - Xihao Xie; Jia Zhang 001; Rahul Ramachandran; Tsengdar J. Lee; Seungwon Lee (CoRR, 2022)

High-Order-Modal Knowledge Graph Powered API Recommendation for Mashup Development. - Beichen Hu; Xihao Xie; Junhao Shen; Jia Zhang 001; Tsengdar J. Lee; Seungwon Lee (SSE, 2024)

INDUS: Effective and Efficient Language Models for Scientific Applications. - Bishwaranjan Bhattacharjee; Aashka Trivedi; Masayasu Muraoka; Muthukumaran Ramasubramanian; Takuma Udagawa; Iksha Gurung; Nishan Pantha; Rong Zhang; Bharath Dandala; Rahul Ramachandran; Manil Maskey; Kaylin M. Bugbee; et al. (EMNLP (Industry Track), 2024)

RANGER: Context-Aware Service Unit of Work Recommendation for Incremental Scientific Workflow Composition. - Xihao Xie; Chang Liu; Jia Zhang 001; Rahul Ramachandran; Tsengdar J. Lee; Seungwon Lee (WISE (3), 2024)

Learning Service Selection Decision Making Behaviors During Scientific Workflow Development. - Xihao Xie; Jia Zhang 001; Rahul Ramachandran; Tsengdar J. Lee; Seungwon Lee (CoRR, 2024)

INDUS: Effective and Efficient Language Models for Scientific Applications. - Bishwaranjan Bhattacharjee; Aashka Trivedi; Masayasu Muraoka; Muthukumaran Ramasubramanian; Takuma Udagawa; Iksha Gurung; Rong Zhang; Bharath Dandala; Rahul Ramachandran; Manil Maskey; Kaylin M. Bugbee; Mike Little; et al. (CoRR, 2024)

Temporal Graph Neural Network-Powered Paper Recommendation on Dynamic Citation Networks. - Junhao Shen; Mohammad Ausaf Ali Haqqani; Beichen Hu; Cheng Huang; Xihao Xie; Tsengdar J. Lee; Jia Zhang 001 (CoRR, 2024)

Prithvi WxC: Foundation Model for Weather and Climate. - Johannes Schmude; Sujit Roy; Will Trojak; Johannes Jakubik; Daniel Salles Civitarese; Shraddha Singh; Julian Kuehnert; Kumar Ankur; Aman Gupta; Christopher Phillips; Romeo Kienzler; Daniela Szwarcman; et al. (CoRR, 2024)

Multi-Layer Agent-Based Spatiotemporal UoW Recommendation for Workflow Composition. - Chang Liu; Xihao Xie; Jia Zhang 001; Rahul Ramachandran; Tsengdar J. Lee; Seungwon Lee (SSE, 2025)

X-GAN: A Generative AI-Powered Unsupervised Model for High-Precision Segmentation of Retinal Main Vessels toward Early Detection of Glaucoma. - Cheng Huang; Weizheng Xie; Tsengdar J. Lee; Jui-Kai Wang; Karanjit Kooner; Jia Zhang 001 (CoRR, 2025)