Tsengdar J. Lee

28 papers A 5B 1C 5Journal 9Unranked 8
YearRankTypeTitle / Venue / Authors
2025 — conf
Multi-Layer Agent-Based Spatiotemporal UoW Recommendation for Workflow Composition.
SSE
Chang Liu, Xihao Xie, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee
2025 J jnl
X-GAN: A Generative AI-Powered Unsupervised Model for High-Precision Segmentation of Retinal Main Vessels toward Early Detection of Glaucoma.
CoRR
Cheng Huang, Weizheng Xie, Tsengdar J. Lee, Jui-Kai Wang, Karanjit Kooner, Jia Zhang
2024 — conf
High-Order-Modal Knowledge Graph Powered API Recommendation for Mashup Development.
SSE
Beichen Hu, Xihao Xie, Junhao Shen, Jia Zhang, Tsengdar J. Lee, Seungwon Lee
2024 — conf
INDUS: Effective and Efficient Language Models for Scientific Applications.
EMNLP (Industry Track)
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, Michael Little, Elizabeth Fancher, Irina Gerasimov, Armin Mehrabian, Lauren M. Sanders, Sylvain Costes, Sergi Blanco-Cuaresma, Kelly E. Lockhart, Thomas Allen, Félix Grèzes, Megan Ansdell, Alberto Accomazzi, Yousef El-Kurdi, Davis Wertheimer, Birgit Pfitzmann, Cesar Berrospi Ramis, Michele Dolfi, Rafael Teixeira de Lima, Panagiotis Vagenas, S. Karthik Mukkavilli, Peter W. J. Staar, Sanaz Vahidinia, Ryan McGranaghan, Tsengdar J. Lee
2024 J jnl
INDUS: Effective and Efficient Language Models for Scientific Applications.
CoRR
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, Elizabeth Fancher, Lauren M. Sanders, Sylvain V. Costes, Sergi Blanco-Cuaresma, Kelly E. Lockhart, Thomas Allen, Félix Grèzes, Megan Ansdell, Alberto Accomazzi, Yousef El-Kurdi, Davis Wertheimer, Birgit Pfitzmann, Cesar Berrospi Ramis, Michele Dolfi, Rafael Teixeira de Lima, Panagiotis Vagenas, S. Karthik Mukkavilli, Peter W. J. Staar, Sanaz Vahidinia, Ryan McGranaghan, Armin Mehrabian, Tsengdar J. Lee
2024 J jnl
Learning Service Selection Decision Making Behaviors During Scientific Workflow Development.
CoRR
Xihao Xie, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee
2024 J jnl
Prithvi WxC: Foundation Model for Weather and Climate.
CoRR
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, Vishal Gaur, Rajat Shinde, Rohit Lal, Arlindo Da Silva, Jorge Luis Guevara Diaz, Anne Jones, Simon Pfreundschuh, Amy Lin, Aditi Sheshadri, Udaysankar Nair, Valentine Anantharaj, Hendrik F. Hamann, Campbell D. Watson, Manil Maskey, Tsengdar J. Lee, Juan Bernabé-Moreno, Rahul Ramachandran
2024 — conf
RANGER: Context-Aware Service Unit of Work Recommendation for Incremental Scientific Workflow Composition.
WISE (3)
Xihao Xie, Chang Liu, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee
2024 J jnl
Temporal Graph Neural Network-Powered Paper Recommendation on Dynamic Citation Networks.
CoRR
Junhao Shen, Mohammad Ausaf Ali Haqqani, Beichen Hu, Cheng Huang, Xihao Xie, Tsengdar J. Lee, Jia Zhang
2022 J jnl
Goal-Driven Context-Aware Next Service Recommendation for Mashup Composition.
CoRR
Xihao Xie, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee
2022 C conf
Goal-Driven Context-Aware Service Recommendation for Mashup Development.
SNPD
Xihao Xie, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee
2022 C conf
Learning Context-Aware Service Representation for Service Recommendation in Workflow Composition.
ICIS
Xihao Xie, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee
2022 J jnl
Learning Context-Aware Service Representation for Service Recommendation in Workflow Composition.
CoRR
Xihao Xie, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee
2021 C conf
Augmenting Data Systems with Prediction based Embeddings.
IGARSS
Rahul Ramachandran, Muthukumaran Ramasubramanian, Iksha Gurung, Carson Davis, Derek Koehl, Manil Maskey, Tsengdar J. Lee
2021 — conf
Graph Convolutional Network-Strengthened Topic Modeling for Scientific Papers.
SMDS
Jia Zhang, Junhao Shen, Beichen Hu, Rahul Ramachandran, Tsengdar J. Lee, Kwo-Sen Kuo, Manil Maskey, Seungwon Lee
2020 C conf
GeoNEX: A Geostationary Earth Observatory at NASA Earth Exchange: Earth Monitoring from Operational Geostationary Satellite Systems.
IGARSS
Ramakrishna R. Nemani, Weile Wang, Hirofumi Hashimoto, Andrew R. Michaelis, Thomas Vandal, Alexei I. Lyapustin, Jia Zhang, Tsengdar J. Lee, Satya Kalluri, Hideaki Takenaka, Atsushi Higuchi, Kazuhito Ichii, Shuang Li, Jong-Min Yeom
2018 C conf
A Neural Network-Powered Cognitive Method of Identifying Semantic Entities in Earth Science Papers.
ICCC
Xiaoyi Duan, Jia Zhang, Rahul Ramachandran, Patrick Gatlin, Manil Maskey, Jeffrey J. Miller, Kaylin M. Bugbee, Tsengdar J. Lee
2018 — conf
Facilitating Data-Centric Recommendation in Knowledge Graph.
CIC
Jia Zhang, Maryam Pourreza, Rahul Ramachandran, Tsengdar J. Lee, Patrick Gatlin, Manil Maskey, Amanda Marie Weigel
2018 A conf
Unit of Work Supporting Generative Scientific Workflow Recommendation.
ICSOC
Jia Zhang, Maryam Pourreza, Seungwon Lee, Ramakrishna R. Nemani, Tsengdar J. Lee
2017 A conf
A Fine-Grained API Link Prediction Approach Supporting Mashup Recommendation.
ICWS
Qihao Bao, Jia Zhang, Xiaoyi Duan, Rahul Ramachandran, Tsengdar J. Lee, Yankai Zhang, Yuhao Xu, Seungwon Lee, Lei Pan, Patrick Gatlin, Manil Maskey
2017 A conf
Linking Design-Time and Run-Time: A Graph-Based Uniform Workflow Provenance Model.
ICWS
Xiaoyi Duan, Jia Zhang, Qihao Bao, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee, Lei Pan
2016 A conf
A Bloom Filter-Powered Technique Supporting Scalable Semantic Service Discovery in Service Networks.
ICWS
Jia Zhang, Runyu Shi, Weiyi Wang, Shenggu Lu, Yuanchen Bai, Qihao Bao, Tsengdar J. Lee, Kiran Nagaraja, Nimish Radia
2015 J jnl
A Trust-Powered Technique to Facilitate Scientific Tool Discovery and Recommendation.
Int. J. Web Serv. Res.
Jia Zhang, Chris Lee, Petr Votava, Tsengdar J. Lee, Shuai Wang, Venkatesh Sriram, Neeraj Saini, Pujita Rao, Ramakrishna R. Nemani
2015 J jnl
A community-oriented workflow reuse and recommendation technique.
Int. J. Bus. Process. Integr. Manag.
Jia Zhang, Chris Lee, Petr Votava, Tsengdar J. Lee, Ramakrishna R. Nemani, Ian T. Foster
2015 A conf
Climate Analytics Workflow Recommendation as a Service - Provenance-Driven Automatic Workflow Mashup.
ICWS
Jia Zhang, Wei Wang, Xing Wei, Chris Lee, Seungwon Lee, Lei Pan, Tsengdar J. Lee
2014 — conf
A Community-Driven Workflow Recommendations and Reuse Infrastructure.
SOSE
Jia Zhang, Chris Lee, Sean Xiao, Petr Votava, Tsengdar J. Lee, Ramakrishna R. Nemani, Ian T. Foster
2013 — conf
A Technique of Analyzing Trust Relationships to Facilitate Scientific Service Discovery and Recommendation.
IEEE SCC
Jia Zhang, Petr Votava, Tsengdar J. Lee, Shrikant Adhikarla, Isaraporn Cherry Kulkumjon, Matthew Schlau, Divya Natesan, Ramakrishna R. Nemani
2013 B conf
Bridging VisTrails Scientific Workflow Management System to High Performance Computing.
SERVICES
Jia Zhang, Petr Votava, Tsengdar J. Lee, Owen Chu, Clyde Li, David Liu, Kate Liu, Norman Xin, Ramakrishna R. Nemani