Award Abstract # 2112606
AI Institute for Intelligent CyberInfrastructure with Computational Learning in the Environment (ICICLE)
NSF Org: |
OAC
Office of Advanced Cyberinfrastructure (OAC)
|
Recipient: |
OHIO STATE UNIVERSITY, THE
|
Initial Amendment Date:
|
July 28, 2021 |
Latest Amendment Date:
|
January 17, 2025 |
Award Number: |
2112606 |
Award Instrument: |
Cooperative Agreement |
Program Manager: |
Sheikh Ghafoor
sghafoor@nsf.gov
(703)292-7116
OAC
Office of Advanced Cyberinfrastructure (OAC)
CSE
Directorate for Computer and Information Science and Engineering
|
Start Date: |
November 1, 2021 |
End Date: |
October 31, 2026 (Estimated) |
Total Intended Award
Amount: |
$19,999,998.00 |
Total Awarded Amount to
Date: |
$20,099,998.00 |
Funds Obligated to Date:
|
FY 2021 = $11,999,998.00
FY 2022 = $100,000.00
FY 2023 = $8,000,000.00
|
History of Investigator:
|
-
Dhabaleswar
Panda
(Principal Investigator)
panda.2@osu.edu
-
Vipin
Chaudhary
(Co-Principal Investigator)
-
Raghu
Machiraju
(Co-Principal Investigator)
-
Beth
Plale
(Co-Principal Investigator)
-
Eric
Fosler-Lussier
(Co-Principal Investigator)
|
Recipient Sponsored Research
Office: |
Ohio State University
1960 KENNY RD
COLUMBUS
OH
US
43210-1016
(614)688-8735
|
Sponsor Congressional
District: |
03
|
Primary Place of
Performance: |
Ohio State University
OH
US
43210-1063
|
Primary Place of
Performance Congressional District: |
03
|
Unique Entity Identifier
(UEI): |
DLWBSLWAJWR1
|
Parent UEI: |
MN4MDDMN8529
|
NSF Program(s): |
AI Research Institutes, Information Technology Researc, Special Projects - CNS
|
Primary Program Source:
|
01002324DB NSF RESEARCH & RELATED ACTIVIT
01002122DB NSF RESEARCH & RELATED ACTIVIT
01002526DB NSF RESEARCH & RELATED ACTIVIT
01002425DB NSF RESEARCH & RELATED ACTIVIT
01002223DB NSF RESEARCH & RELATED ACTIVIT
|
Program Reference
Code(s): |
120Z,
9102,
8004,
7231,
075Z
|
Program Element Code(s):
|
132Y00,
164000,
171400
|
Award Agency Code: |
4900
|
Fund Agency Code: |
4900
|
Assistance Listing
Number(s): |
47.070
|
ABSTRACT

Although the world is witness to the tremendous successes of Artificial Intelligence (AI) technologies in some domains, many domains have yet to reap the benefits of AI due to the lack of easily usable AI infrastructure. The NSF AI Institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment (ICICLE) will develop intelligent cyberinfrastructure with transparent and high-performance execution on diverse and heterogeneous environments. It will advance plug-and-play AI that is easy to use by scientists across a wide range of domains, promoting the democratization of AI. ICICLE brings together a multidisciplinary team of scientists and engineers, led by The Ohio State University in partnership with Case Western Reserve University, IC-FOODS, Indiana University, Iowa State University, Ohio Supercomputer Center, Rensselaer Polytechnic Institute, San Diego Supercomputer Center, Texas Advanced Computing Center, University of Utah, University of California-Davis, University of California-San Diego, University of Delaware, and University of Wisconsin-Madison. Initially, complex societal challenges in three use-inspired scientific domains will drive ICICLE?s research and workforce development agenda: Smart Foodsheds, Precision Agriculture, and Animal Ecology.
ICICLE?s research and development includes: (i) Empowering plug-and-play AI by advancing five foundational areas: knowledge graphs, model commons, adaptive AI, federated learning, and conversational AI. (ii) Providing a robust cyberinfrastructure capable of propelling AI-driven science (CI4AI), solving the challenges arising from heterogeneity in applications, software, and hardware, and disseminating the CI4AI innovations to use-inspired science domains. (iii) Creating new AI techniques for the adaptation/optimization of various CI components (AI4CI), enabling a virtuous cycle to advance both AI and CI. (iv) Developing novel techniques to address cross-cutting issues including privacy, accountability, and data integrity for CI and AI; and (v) Providing a geographically distributed and heterogeneous system consisting of software, data, and applications, orchestrated by a common application programming interface and execution middleware. ICICLE?s advanced and integrated edge, cloud, and high-performance computing hardware and software CI components simplify the use of AI, making it easier to address new areas of inquiry. In this way, ICICLE focuses on research in AI, innovation through AI, and accelerates the application of AI. ICICLE is building a diverse STEM workforce through innovative approaches to education, training, and broadening participation in computing that ensure sustained measurable outcomes and impact on a national scale, along the pipeline from middle/high school students to practitioners. As a nexus of collaboration, ICICLE promotes technology transfer to industry and other stakeholders, as well as data sharing and coordination across other National Science Foundation AI Institutes and Federal agencies. As a national resource for research, development, technology transfer, workforce development, and education, ICICLE is creating a widely usable, smarter, more robust and diverse, resilient, and effective CI4AI and AI4CI ecosystem.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

Note:
When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external
site maintained by the publisher. Some full text articles may not yet be available without a
charge during the embargo (administrative interval).
Some links on this page may take you to non-federal websites. Their policies may differ from
this site.
(Showing: 1 - 10 of 117)
(Showing: 1 - 117 of 117)
Vallabhajoyula, Manikya S and Ramnath, R
"Towards Practical, Generalizable Machine-Learning Training Pipelines to build Regression Models for Predicting Application Resource Needs on HPC Systems"
, 2024
Citation
Details
Akkas, Selahattin and Azad, Ariful
""JGCL: Joint Self-Supervised and Supervised Graph Contrastive Learning," in Companion Proceedings of the Web Conference,"
, 2022
Citation
Details
Alnaasan, Nawras and Jain, Arpan and Shafi, Aamir and Subramoni, Hari and Panda, Dhabaleswar K
"OMB-Py: Python Micro-Benchmarks for Evaluating Performance of MPI Libraries on HPC Systems"
23rd Parallel and Distributed Scientific and Engineering Computing Workshop (PDSEC) at IPDPS22
, 2022
https://doi.org/10.1109/IPDPSW55747.2022.00143
Citation
Details
Caglar_Oksuz, A and Halimi, A and Ayday, E
"AUTOLYCUS: Exploiting Explainable Artificial Intelligence (XAI) for Model Extraction Attacks against Interpretable Models"
, 2024
Citation
Details
Chen, Chen-Chun and Khorassani, Kawthar Shafie and Anthony, Quentin G. and Shafi, Aamir and Subramoni, Hari and Panda, Dhabaleswar K.
"Highly Efficient Alltoall and Alltoallv Communication Algorithms for GPU Systems"
Heterogeneity in Computing Workshop
, 2022
https://doi.org/10.1109/IPDPSW55747.2022.00014
Citation
Details
Cheng-Hao Tu and Zheda Mai and Wei-Lun Chao
"Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning"
CVPR
, 2023
Citation
Details
Chen, Hong-You and Chao, Wei-Lun
"ON BRIDGING GENERIC AND PERSONALIZED FEDERATED LEARNING FOR IMAGE CLASSIFICATION"
International Conference on Learning Representations
, 2022
Citation
Details
Chen, Hong-You and Tu, Cheng-Hao and Li, Ziwei and Shen, Han-Wei and Chao, Wei-Lun
"On the Importance and Applicability of Pre-Training for Federated Learning."
, 2023
Citation
Details
Chen, Shijie and Chen, Ziru and Sun, Huan and Su, Yu
"Error Detection for Text-to-SQL Semantic Parsing"
, 2023
https://doi.org/10.18653/v1/2023.findings-emnlp.785
Citation
Details
Chen, Shijie and Chen, Ziru and Sun, Huan and Su, Yu
"Error Detection for Text-to-SQL Semantic Parsing"
, 2023
Citation
Details
Chen, Z and White, M and Mooney, R and Payani, A and Su, Y and Sun, H
"When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"
, 2024
Citation
Details
Chen, Ziru and Chen, Shijie and White, Michael and Mooney, Raymond and Payani, Ali and Srinivasa, Jayanth and Su, Yu and Sun, Huan
"Text-to-SQL Error Correction with Language Models of Code"
ACL
, 2023
Citation
Details
Deng, Xiang and Gu, Yu and Zheng, Boyuan and Chen, Shijie and Stevens, Samuel and Wang, Boshi and Sun, Huan and Su, Yu.
"Mind2Web: Towards a Generalist Agent for the Web"
, 2023
Citation
Details
Dervishi, Leonard and Wang, Xinyue and Li, Wentao and Halimi, Anisa and Vaidya, Jaideep and Jiang, Xiaoqian and Ayday, Erman
"Facilitating Federated Genomic Data Analysis by Identifying Record Correlations while Ensuring Privacy"
AMIA Annual Symposium proceedings
, 2022
Citation
Details
Ding, Qiyang and Zheng, Pengfei and Kudari, Shreyas and Venkataraman, Shivaram and Zhang, Zhao
"Mirage: Towards Low-interruption Services on Batch GPU Clusters with Reinforcement Learning"
, 2023
Citation
Details
Fuerst, Alexander and Rehman, Abdul and Sharma, Prateek
"Ilรบvatar: A Fast Control Plane for Serverless Computing"
HPDC
, 2023
Citation
Details
Gainza, Eduardo Romero and Stewart, Christopher and OQuinn, Austin
"Characterization of Parallelism Techniques for Decision Tree Ensembles"
, 2024
https://doi.org/10.1109/ACSOS61780.2024.00038
Citation
Details
Galhotra, S and Gilad, A and Roy, S and Salimi, B
"HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach"
, 2024
Citation
Details
Ganguly, Debargha and Iyengar, Srinivasan and Chaudhary, Vipin and Kalyanaraman, Shivkumar
"Proof of Thought : Neurosymbolic Program Synthesis allows Robust and Interpretable Reasoning"
, 2024
Citation
Details
Gao, Song and Hu, Yingjie and Li, Wenwen and Zou, Lei
"Special issue on geospatial artificial intelligence"
GeoInformatica
, v.27
, 2023
https://doi.org/10.1007/s10707-023-00493-6
Citation
Details
Geng, Chujun and Blanas, Spyros and Bond, Michael D and Wang, Yang
"IsoPredict: Dynamic Predictive Analysis for Detecting Unserializable Behaviors in Weakly Isolated Data Store Applications"
, 2024
Citation
Details
Ghasemian, Maryam and Ayday, Erman
"Privacy Preserving Collaborative Clustering with Hyper Parameter Recommendation"
, 2023
Citation
Details
Gutiรฉrrez, Bernal Jimรฉnez and Shu, Yiheng and Gu, Yu and Yasunaga, Michihiro and Su, Yu
"HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models"
, 2024
Citation
Details
Gu, Yu and Deng, Xiang and Su, Yu
"Dont Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments"
ACL
, 2023
Citation
Details
Gu, Yu and Su, Yu
"ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answering"
COLING'22
, 2022
Citation
Details
H. Ahn and T. Chen and N. Alnaasan and A. Shafi and M. Abduljabbar and H. Subramoni and DK Panda
"Performance Characterization of using Quantization for DNN Inference on Edge Devices: Extended Version"
IEEE ICFEC
, 2023
Citation
Details
Halimi, Anisa and Dervishi, Leonard and Ayday*, Erman and Pyrgelis, Apostolos and Troncoso-Pastoriza, Juan Ramรณn and Hubaux, Jean-Pierre and Jiang, Xiaoqian and Vaidya, Jaideep
"Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies"
Proceedings on Privacy Enhancing Technologies
, 2022
Citation
Details
Irizarry, Kevyn Angueira and Stewart, Christopher
"Profiling Edge Resource Demands of Zoom Maneuvers for Autonomous Unmanned Aerial Vehicles"
, 2023
Citation
Details
Islam, Maliha T and Fariha, A and Meliou, A and Salimi, B
"Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification"
, 2024
Citation
Details
Islam, Taimoor Ul and Zhang, Tianyi and Boateng, Joshua Ofori and Gossling, Evan and Zu, Guoying and Babu, Sarath and Zhang, Hongwei and Qiao, Daji
"AraMIMO: Programmable TVWS mMIMO Living Lab for Rural Wireless"
, 2023
https://doi.org/10.1145/3615453.3616512
Citation
Details
Jain, A and Shafi, A. and Anthony, Q. and Kousha, P. and Subramoni, H. and Panda, DK.
"Hy-Fi: Hybrid Five-Dimensional Parallel DNN Training on High-Performance GPU Clusters"
Proceedings International Conference on High Performance Computing
, 2022
https://doi.org/10.1007/978-3-031-07312-0_6
Citation
Details
Jiang, Yuzhou and Ji, Tianxi and Ayday, Erman
"Reproducibility-Oriented and Privacy-Preserving Genomic Dataset Sharing"
, 2023
Citation
Details
Jiang, Yuzhou and Yilmaz, Emre and Ayday, Erman
"Robust Fingerprint of Location Trajectories Under Differential Privacy"
, 2023
Citation
Details
Ji, T and Ayday, E and Yilmaz, E and Li, P
"Differentially-Private Fingerprinting of Relational Databases,"
, 2023
Citation
Details
Ji, Tianxi and Ayday, Erman and Yilmaz, Emre and Li, Ming and Li, Pan
"Privacy-Preserving Database Fingerprinting"
NDDS Symposium
, 2023
https://doi.org/10.14722/ndss.2023.24693
Citation
Details
Ji, Tianxi and Ayday, Erman and Yilmaz, Emre and Li, Pan
"Local Differentially-Private Genomic Database Fingerprinting"
, 2023
Citation
Details
Kadupitiya, Jcs and Jadhao, Vikram and Sharma, Prateek
"SciSpot: Scientific Computing on Temporally Constrained Cloud Preemptible VMs,"
, 2022
Citation
Details
Kang, Yuhao and Wu, Kunlin and Gao, Song and Ng, Ignavier and Rao, Jinmeng and Ye, Shan and Zhang, Fan and Fei, Teng
"STICC: a multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity"
International Journal of Geographical Information Science
, v.36
, 2022
https://doi.org/10.1080/13658816.2022.2053980
Citation
Details
Katole, Rugved and Angueira, Kevyn and Sinha, Arpita and Stewart, Christopher
"Multi-Agent Reinforcement Learning for Heterogeneous UAV Swarm Enabling Detailed Crop Health Assessment"
, 2023
Citation
Details
Kholiavchenko, Maksim and Kline, Jenna and Ramirez, Michelle and Stevens, Sam and Sheets, Alec and Babu, Reshma and Banerji, Namrata and Campolongo, Elizabeth and Thompson, Matthew and Van_Tiel, Nina and Miliko, Jackson and Bessa, Eduardo and Duporge, Isl
"KABR: In-Situ Dataset for Kenyan Animal Behavior Recognition from Drone Videos"
, 2024
Citation
Details
Kil, J and Song, C H and Zheng, B and Deng, X and Su, Y and Chao, W L
"Dual-View Visual Contextualization for Web Navigation."
, 2024
Citation
Details
Kil, J and Song, C_H and Zheng, B and Deng, X and Su, Y and Chao, W_L
"Dual-View Visual Contextualization for Web Navigation"
, 2024
Citation
Details
Kil, Jihyung and Mai, Zheda and Lee, Justin and Wang, Zihe and Cheng, Kerrie and Wang, Lemeng and Liu, Ye and Chowdhury, Arpita and Chao, Wei-Lun
"COMPBENCH: A Comparative Reasoning Benchmark for Multimodal LLMs"
, 2024
Citation
Details
Kline, Jenna
"An Adaptive Autonomous Aerial System for Dynamic Field Animal Ecology Studies"
, 2024
Citation
Details
Kline, Jenna and O'Quinn, Austin and Berger-Wolf, Tanya and Stewart, Christopher
"Characterizing and Modeling AI-Driven Animal Ecology Studies at the Edge"
, 2024
https://doi.org/10.1109/SEC62691.2024.00025
Citation
Details
Kousha, P. and Jain, A. and Kolli, A. and Prasanna, S. and Miriyala, S. and Subramoni, H. and Shafi, A. and Panda, DK.
"Hey CAI - Conversational AI Enabled User Interface for HPC Tools"
Proceedings International Conference on High Performance Computing
, 2022
https://doi.org/10.1007/978-3-031-07312-0_5
Citation
Details
Le, D and Zhong, S and Liu, Z and Xu, S and Chaudhary, V and Zhou, K and Xu, Z
"Knowledge Graphs Can be Learned with Just Intersection Features"
, 2024
Citation
Details
Liang, Yunlei and Zhu, Jiawei and Ye, Wen and Gao, Song
"Region2Vec: community detection on spatial networks using graph embedding with node attributes and spatial interactions"
SIGSPATIAL'22
, 2022
https://doi.org/10.1145/3557915.3560974
Citation
Details
Liu, Z and Wang, G and Zhong, S and Xu, Z and Zha, D and Tang, R and Jiang, Z and Zhou, K and Chaudhary, V and Xu, S and Hu, X
"Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs"
, 2024
Citation
Details
Li, Ziwei and Chen, Hong-You and Shen, Han-Wei and Chao, Wei-Lun Chao
"Understanding Federated Learning through Loss Landscape Visualizations: A Pilot Study"
NeurIPS 2022
, 2022
Citation
Details
Li, Ziwei and Xu, Jiayi and Chao, WeiLun and Shen, HanWei
"Visual Analytics on Network Forgetting for TaskIncremental Learning"
Computer Graphics Forum
, v.42
, 2023
https://doi.org/10.1111/cgf.14842
Citation
Details
Mai, Zheda and Chowdhury, Arpita and Zhang, Ping and Tu, Cheng-Hao and Chen, Hong-You and Pahuja, Vardaan and Berger-Wolf, Tanya and Gao, Song and Stewart, Charles and Su, Yu and Chao, Wei-Lun
"Fine-Tuning is Fine, if Calibrated"
, 2024
Citation
Details
Meng, Z and Zhang, H and Gross, J
"Scheduling with Probabilistic Per-Packet Real-Time Guarantee for URLLC"
, 2024
Citation
Details
Miller, M and Konar, M
"U.S. Food Flows: A Coldchain Network Analysis of Freight Movements to Inform Local and Regional Food Issues"
, 2024
Citation
Details
Monica, Josephine and Chao, Wei-Lun and Campbell, Mark
"Sequential Joint Shape and Pose Estimation of Vehicles with Application to Automatic Amodal Segmentation Labeling"
, 2022
Citation
Details
Oksuz, Abdullah Caglar and Halimi, Anisa and Ayday, Erman
"AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Decision Tree Models"
, 2023
Citation
Details
Pahuja, V and Luo, W and Gu, Y and Tu, CH and Chen, HY and Berger-Wolf, T and Stewart, C
"Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs"
, 2023
Citation
Details
Pahuja, Vardaan and Luo, Weidi and Gu, Yu and Tu, Cheng-Hao and Chen, Hong-You and Berger-Wolf, Tanya and Stewart, Charles and Gao, Song and Chao, Wei-Lun and Su, Yu
"Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs"
, 2024
Citation
Details
Pahuja, Vardaan and Wang, Boshi and Latapie, Hugo and Srinivasa, Jayanth and Su, Yu
"A Retrieve-and-Read Framework for Knowledge Graph Link Prediction"
, 2023
https://doi.org/10.1145/3583780.3614769
Citation
Details
Panda, Dhabaleswar K. and Chaudhary, Vipin and FoslerLussier, Eric and Machiraju, Raghu and Majumdar, Amit and Plale, Beth and Ramnath, Rajiv and Sadayappan, Ponnuswamy and Savardekar, Neelima and Tomko, Karen
"Creating intelligent cyberinfrastructure for democratizing AI"
AI Magazine
, v.45
, 2024
https://doi.org/10.1002/aaai.12166
Citation
Details
Pradhan, R and Zhu, J and Glavic, B and Salimi, B
"Interpretable Data-Based Explanations for Fairness Debugging"
, 2024
Citation
Details
Qu, Yuxiao and Rao, Jinmeng and Gao, Song and Zhang, Qianheng and Chao, Wei-Lun and Su, Yu and Miller, Michelle and Morales, Alfonso and Huber, Patrick R.
"FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows"
, 2023
https://doi.org/10.1145/3615886.3627742
Citation
Details
Ramesh, Bharath and Hashmi, Jahanzeb Maqbool and Xu, Shulei and Shafi, Aamir and Ghazimirsaeed, Mahdieh and Bayatpour, Mohammadreza and Subramoni, Hari and Panda, Dhabaleswar K.
"Towards Architecture-aware Hierarchical Communication Trees on Modern HPC Systems"
International Conference on High Performance Computing, Data, and Analytics
, 2021
https://doi.org/10.1109/HIPC53243.2021.00041
Citation
Details
Rao, Jinmeng and Gao, Song and Mai, Gengchen and Janowicz, Krzysztof
"Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models"
, 2023
Citation
Details
Rao, Jinmeng and Gao, Song and Miller, Michelle and Morales, Alfonso
"Measuring network resilience via geospatial knowledge graph: a case study of the us multi-commodity flow network"
GeoKG'22
, 2022
https://doi.org/10.1145/3557990.3567569
Citation
Details
Rolland, Edouard and Grรธntved, Kasper and Laporte-Devylder, Lucie and Kline, Jenna and Lundquist, Ulrik and Christensen, Anders Lyhne
"Drone Swarms for Animal Monitoring: A Method for Collecting High-Quality Multi-Perspective Data"
, 2024
Citation
Details
Rosas, M R and Sanchez, M T and Eigenmann, R
"Should AI Optimize Your Code? A Comparative Study of Current Large Language Models Versus Classical Optimizing Compilers"
, 2024
Citation
Details
Samar, Sahil and Ray, Michael and Karpinski, James and Chen, Mia and Sarin, Archita and Garcia, Christian and Lange, Matthew and Stubbs, Joe and Thomas, Mary
"Development of Authenticated Clients and Applications for ICICLE CI Services - Final Report for the REHS Program"
, 2023
Citation
Details
Song, Chan Hee and Kil, Jihyung and Pan, Tai-Yu and Sadler, Brian M. and Chao, Wei-Lun and Su, Yu
"One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones"
Conference on Computer Vision and Pattern Recognition
, 2022
https://doi.org/10.1109/CVPR52688.2022.01504
Citation
Details
Suresh, Kaushik Kandadi and Ramesh, Bharath and Chen, Chen Chun and Ghazimirsaeed, Seyedeh Mahdieh and Bayatpour, Mohammadreza and Shafi, Aamir and Subramoni, Hari and Panda, Dhabaleswar K.
"Layout-aware Hardware-assisted Designs for Derived Data Types in MPI"
2021 IEEE 28th International Conference on High Performance Computing, Data, and Analytics (HiPC)
, 2021
https://doi.org/10.1109/HiPC53243.2021.00044
Citation
Details
Tai, Chang-Yu and Chen, Ziru and Zhang, Tianshu and Deng, Xiang and Sun, Huan
"Exploring Chain of Thought Style Prompting for Text-to-SQL"
, 2023
https://doi.org/10.18653/v1/2023.emnlp-main.327
Citation
Details
Tu, Cheng-Hao and Chen, Hong-You and Carlyn, David and Chao, Wei-Lun
"Learning Fractals by Gradient Descent"
Proceedings of the AAAI Conference on Artificial Intelligence
, v.37
, 2023
https://doi.org/10.1609/aaai.v37i2.25342
Citation
Details
Tu, Cheng-Hao and Chen, Hong-You and Mai, Zheda and Zhong, Jike and Pahuja, Vardaan and Berger-Wolf, Tanya and Gao, Song and Stewart, Charles and Su, Yu and Chao, Wei-Lun
"Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data"
NeurIPS
, 2024
Citation
Details
Tu, Yamei and Qiu, Rui and Shen, Han-Wei
"KG-PRE-view: Democratizing a TVCG Knowledge Graph through Visual Explorations"
IEEE Pacific Visualization Symposium
, 2024
Citation
Details
Tu, Yamei and Wang, Xiaoqi and Qiu, Rui and Shen, Han-Wei and Miller, Michelle and Rao, Jinmeng and Gao, Song and Huber, Patrick R. and Hollander, Allan D. and Lange, Matthew and Garcia, Christian R. and Stubbs, Joe
"An Interactive Knowledge and Learning Environment in Smart Foodsheds"
IEEE Computer Graphics and Applications
, v.43
, 2023
https://doi.org/10.1109/MCG.2023.3263960
Citation
Details
Tyagi, Sahil and Sharma, Prateek
"Scavenger: A Cloud Service For Optimizing Cost and Performance of ML Training"
CCGrid
, 2023
https://doi.org/10.1109/CCGrid57682.2023.00045
Citation
Details
Vallabhajosyula, Manikya S and Budhya, Sandeep S and Ramnath, R
"Reference Implementation of Smart Scheduler: A CI-Aware, AI-Driven Scheduling Framework for HPC Workloads"
, 2024
Citation
Details
Vallabhajosyula, ManikyaSwathi and Budhya, Sandeep Satish and Jain, Akanksha and Baig, Maaz and Ramnath, Rajiv
"Orchestrating a DNN training job using an iScheduler Framework: a use case."
, 2024
Citation
Details
Vallabhajosyula, Manikya Swathi and Ramnath, Rajiv
"Insights from the HARP Framework: Using an AI-Driven Approach for Efficient Resource Allocation in HPC Scientific Workflows"
, 2023
https://doi.org/10.1145/3569951.3597595
Citation
Details
Vallabhajosyula, Manikya Swathi and Ramnath, Rajiv
"Towards Characterizing DNNs to Estimate Training Time using HARP (HPC Application Resource (runtime) Predictor"
, 2023
https://doi.org/10.1145/3569951.3597607
Citation
Details
Vallabhajosyula, Swathi and Ramnath, Rajiv
"Establishing a Generalizable Framework for Generating Cost-Aware Training Data and Building Unique Context-Aware Walltime Prediction Regression Models"
ISPA
, 2022
https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom57177.2022.00070
Citation
Details
Waltz, L and Katari, S and Dill, T and Porter, C and Ortez, O and Lindsey, L and Nandi, A and Khanal, S
"A Growth Stage Centric Approach to Field Scale Yield Estimation for Corn Leveraging Machine Learning Methods From Multimodal Data"
, 2024
Citation
Details
Waltz, Lucas and Katari, Sushma and Hong, Chaeun and Anup, Adit and Colbert, Julian and Potlapally, Anirudh and Dill, Taylor and Porter, Canaan and Engle, John and Stewart, Christopher and Subramoni, Hari and Machiraju, Raghu and Ortez, Osler and Lindsey,
"Cyberinfrastructure for Machine Learning Applications in Agriculture: Experiences, Analysis, and Vision."
, 2024
Citation
Details
Waltz, Lucas and Katari, Sushma and Hong, Chaeun and Anup, Adit and Colbert, Julian and Potlapally, Anirudh and Dill, Taylor and Porter, Canaan and Engle, John and Stewart, Christopher and Subramoni, Hari and Shearer, Scott and Machiraju, Raghu and Ortez,
"Cyberinfrastructure for machine learning applications in agriculture: experiences, analysis, and vision"
Frontiers in Artificial Intelligence
, v.7
, 2025
https://doi.org/10.3389/frai.2024.1496066
Citation
Details
Wang, Boshi and Yue, Xiang and Su, Yu and Sun, Huan
"Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization"
, 2024
Citation
Details
Wang, Guanchu and Chuang, Yu-Neng and Tang, Ruixiang and Zhong, Shaochen and Yuan, Jiayi and Jin, Hongye and Liu, Zirui and Chaudhary, Vipin and Xu, Shuai and Caverlee, James and Hu, Xia
"Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion"
, 2024
Citation
Details
Wang, X. and Dervishi, L. and Li, W. and Jiang, X. and Ayday, E. and Vaidya, J.
"Efficient Federated Kinship Relationship Identification"
AMIA
, 2023
Citation
Details
Withana, Sachith and Plale, Beth
"CKN: An Edge AI Distributed Framework"
, 2023
https://doi.org/10.1109/e-Science58273.2023.10254827
Citation
Details
Withana, S and Plale, B
"Patra ModelCards: AI/ML Accountability in the Edge-Cloud Continuum"
, 2024
Citation
Details
Xiaoqi Wang and Han Wei Shen
"GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks"
ICLR
, 2023
Citation
Details
Xu, Shulei and Shafi, Aamir and Subramoni, Hari and Panda, Dhabaleswar K.
"Arm meets Cloud: A Case Study of MPI Library Performance on AWS Arm-based HPC Cloud with Elastic Fabric Adapter"
IEEE International Parallel and Distributed Processing Symposium Workshops
, 2022
https://doi.org/10.1109/IPDPSW55747.2022.00083
Citation
Details
Xu, Yufan and Yuan, Qiwei and Barton, Erik Curtis and Li, Rui and Sadayappan, P. and Sukumaran-Rajam, Aravind
"Effective Performance Modeling and Domain-Specific Compiler Optimization of CNNs for GPUs"
PACT'22
, 2022
https://doi.org/10.1145/3559009.3569674
Citation
Details
Ye, Han-Jia and Chao, Wei-Lun
"HOW TO TRAIN YOUR MAML TO EXCEL IN FEW-SHOT CLASSIFICATION"
International Conference on Learning Representations
, 2022
Citation
Details
Yilmaz, Emre and Ji, Tianxi and Ayday, Erman and Li, Pan
"Genomic Data Sharing under Dependent Local Differential Privacy"
, 2022
Citation
Details
You, Y and Luo, Katie Z and Phoo, Cheng P and Chao, W and Sun, W and Hariharan, B and Campbell, M and Weinberger, Kilian Q
"Learning to Detect Mobile Objects from LiDAR Scans Without Labels"
, 2024
Citation
Details
You, Yurong and Andres_Diaz-Ruiz, Carlos and Wang, Yan and Chao, Wei-Lun and Hariharan, Bharath and Campbell, Mark and Weinberger, Kilian
""Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection in Self-Driving Cars""
, 2022
Citation
Details
You, Yurong and Luo, Katie Z and Chen, Xiangyu and Chen, Junan and Chao, Wei-Lun and Sun, Wen and Hariharan, Bharath
"HINDSIGHT IS 20/20: LEVERAGING PAST TRAVERSALS TO AID 3D PERCEPTION"
ICLR 2022
, 2022
Citation
Details
Yuan, Jiayi and Liu, Hongyi and Zhong, Shaochen and Chuang, Yu-Neng and Li, Songchen and Wang, Guanchu and Le, Duy and Jin, Hongye and Chaudhary, Vipin and Xu, Zhaozhuo and Liu, Zirui and Hu, Xia
"KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches"
, 2024
Citation
Details
Yue, Xiang and Wang, Boshi and Zhang, Kai and Chen, Ziru and Su, Yu and Sun, Huan
"Automatic Evaluation of Attribution by Large Language Models"
, 2023
Citation
Details
Yue, Xiang and Yao, Ziyu and Sun, Huan
"Synthetic Question Value Estimation for Domain Adaptation of Question Answering"
ACL 2022
, 2022
https://doi.org/10.18653/v1/2022.acl-long.95
Citation
Details
Yue, Xiang and Yao, Ziyu and Sun, Huan
"Synthetic Question Value Estimation for Domain Adaptation of Question Answering"
ACL 2022
, 2022
https://doi.org/10.18653/v1/2022.acl-long.95
Citation
Details
Zafar, Osama and Santa-Gonzalez, Rosemarie and Wilkins, Gabriel and Morales, Alfonso and Ayday, Erman
"Privacy-Preserving Data Linkage Across Private and Public Datasets for Collaborative Agriculture Research"
, 2024
Citation
Details
Zhang, Cheng and Pan, Tai-Yu and Chen, Tianle and Zhong, Jike and Fu, Wenjin and Chao, Wei-Lun
"Learning with Free Object Segments for Long-Tailed Instance Segmentation"
European Conference on Computer Vision (ECCV)
, 2022
https://doi.org/10.1007/978-3-031-20080-9_38
Citation
Details
Zhang, Kai and Jimenez Gutierrez, Bernal and Su, Yu
"Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors"
ACL
, 2023
Citation
Details
Zhang, Kai and Mo, Lingbo and Chen, Wenhu and Sun, Huan and Su, Yu
"MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing"
Conference on Neural Information Processing Systems
, 2023
Citation
Details
Zhang, Qianheng and Gao, Song
"Automating Geospatial Analysis Workflows Using ChatGPT-4"
, 2024
Citation
Details
Zhang, Tianshu and Liu, Changchang and Lee Wei-Han and Su, Yu and Sun Huan
"Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms"
ACL
, 2023
Citation
Details
Zhang, Zichen and Stewart, Christopher
"Domain-Aware Model Training as a Service for Use-Inspired Models."
, 2024
Citation
Details
Zhong, S and Le, D and Liu, Z and Jiang, Z and Ye, A and Zhang, J and Yuan, J and Zhou, K and Xu, Z and Ma, J and Xu, S and Chaudhary, V and Hu, X
"GNNs Also Deserve Editing, and They Need It More Than Once"
, 2024
Citation
Details
Zhou, Q. and Kousha, P. and Anthony, Q. and Khorassani, K. and Shafi, A. and Subramoni, H. and Panda, DK.
"Accelerating MPI All-to-All Communication with Online Compression on Modern GPU Clusters"
ISC HIGH PERFORMANCE
, 2022
https://doi.org/10.1007/978-3-031-07312-0_1
Citation
Details
Zu, Guoying and Nadim, Md and Reddy, Salil and Ul Islam, Taimoor and Babu, Sarath and Zhang, Tianyi and Qiao, Daji and Zhang, Hongwei and Arora, Anish and Haul, Ara
"Multi-Modal Wireless X-Haul Living Lab for Long-Distance, High-Capacity Communications"
, 2023
Citation
Details
(Showing: 1 - 10 of 117)
(Showing: 1 - 117 of 117)
Please report errors in award information by writing to: awardsearch@nsf.gov.