Oct. 2024
- [Service] Dr. Xi Peng will serve as the Area Chair of CVPR 2025.
- [Travel] Dr. Xi Peng will present our paper "DEAL: Disentangle and Localize Concept-level Explanations for VLMs" at the European Conference on Computer Vision 2024 in Milan, Italy!
- [Media] Dr. Xi Peng is featured in a CIS News article discussing his pioneering project, "Developing A Trustworthy Toolbox for Double-Correct Predictive Modeling in Sciences," funded by the National Science Foundation (NSF). The project focuses on creating AI systems that ensure accurate outcomes are always backed by scientifically grounded rationales, specifically designed for high-performance computing (HPC).
- [Grant] Dr. Xi Peng (PI) has secured a 3-year, $599,411 III Core Small award from the National Science Foundation (NSF)! This award will advance our efforts to develop double-correct AI systems tailored for HPC and scientific data analytics. Remarkably, this marks the third major NSF grant Dr. Peng has received as PI this year along. Congratulations!
- [NeurIPS'24] "SeafloorAI: A Large-scale Vision-Language Dataset for Seafloor Geological Survey". Congratulations to Kien!
- [NeurIPS'24] "Beyond Accuracy: Ensuring Correct Predictions with Correct Rationales". Congratulations to Tang!
- [Grant] Dr. Xi Peng (PI) has secured a 4-year, $1.5 million Safe AI award from the National Science Foundation (NSF)! This award is a significant milestone of our long-term research in making AI systems safer and more reliable, particularly for high-stake use in science, medicine, and autonomous driving. Congratulations!
- [Outreach] Our Ph.D. student, Kien Nguyen, has the incredible opportunity to participate in the Autonomous Systems Bootcamp (UDASB 2024) at the Lewes campus, hosted by Dr. Art Trembanis. Kien gained hands-on experience with real-time sonar imaging, which is pivotal to our ongoing collaborative research on SeafloorAI!
- [Grant] Dr. Xi Peng (PI) has received the prestigious Faculty Early Career Development Program (CAREER) Award, $572,765 grant (2024 - 2029), from the National Science Foundation (NSF) for "CAREER: Advancing Trustworthy Machine Learning for Distributed Scientific Data Analytics". Congratulations!
- [Travel] Dr. Xi Peng will present our two papers Ensemble Pruning for Out-of-distribution Generalization and Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients on ICML 2024 at Vienna, Austria!
- [ECCV'24] "DEAL: Disentangle and Localize Concept-level Explanations for VLMs". [PDF] Congratulations to Tang!
- [CIKM'24] "Adaptive Cascading Network for Continual Test-Time Adaptation". [PDF] Congratulations to Kien and Fengchun!
- [Award] Congratulations to Tang on receiving $5,000 API credit from the OpenAI Researcher Access Program!
- [Service] Dr. Xi Peng will serve as the Area Chair of British Machine Vision Conference (BMVC) 2024!
- [ICML'24] "Ensemble Pruning for Out-of-distribution Generalization." [PDF] Congratulations to Fengchun!
- [ICML'24] "Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients." [PDF] Congratulations to Meng!
- [Award] Congratulations to Fengchun on receiving the prestigious "Frank A. Pehrson Graduate Student Award for Outstanding Computer Science Research"!
- [Award] Congratulations to Kien on receiving the "Outstanding Graduate Teaching Assistant Award"!
- [Media] Dr. Xi Peng and Kien are featured in a UDaily article discussing their groundbreaking "Explainable AI research for seabed morphodynamics analysis", funded by the Department of Defense. Their work emphasizes the importance of transparency and reliability in AI for critical applications.
- [Grant] Dr. Xi Peng (PI) has secured $277,275 grant (2024 - 2026) from the the Memorial Sloan Kettering Cancer Center (MSKCC), one of the top three cancer centers in the United States, for "Integrating bpMRI Images and Clinical Text Reports for Robust and Explainable Prostate Cancer Detection and Diagnosis". Congratulations!
- [Student] Ricardo Santos is now part of our team as a visiting Ph.D. student!
- [Talk] Dr. Xi Peng is invited to give a talk entitled "Introduction to Robust and Explainable Scientific Machine Learning" at Huazhong University of Science and Technology (HUST).
- [Outreach] Our team, led by Dr. Xi Peng and Dr. Arthur Trembanis (Marine Science), participated in the DSI + AICoE Hackathon 2023 hosted by Data Science Institute (DSI) and AI Center of Excellence (AICoE). Our case study is focused on "Out-of-Distribution Analysis on Seabed Acoustic Image Segmentation".
- [ICCV'23] "Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition". [PDF] Congratulations to Qitong!
- [CVIU'23] "Deep learning-based estimation of whole-body kinematics from multi-view images". [PDF] Congratulations to Kien!
- [Talk] Dr. Xi Peng is invited to give a talk entitled "Trustworthy Machine Learning for Multi-institutional Biomedical Data Analysis" at Columbia University.
- [Award] Congratulations to Amani for his acceptance into the Summer Research Intern program at Carnegie Mellon University (CMU)!
- [Grant] Dr. Xi Peng (PI) has secured a 4-year, $577,825 SeafloorAI Award from the Department of Defense (DOD)! This award is a critical advancement for our research in developing robust and explainable AI systems, supporting naval and marine science applications through an AI-ready database and trustworthy optimization methods. Congratulations!
- [Award] Congratulations to Kien and Qitong for passing their Ph.D. Preliminary Examinations!
- [CVPR'23] "Are Data-driven Explanations Robust against Out-of-distribution Data?". [PDF] Congratulations to Tang!
- [ICLR'23] "Topology-aware Robust Optimization for Out-of-Distribution Generalization". [PDF] Congratulations to Fengchun!
- [TNNLS'23, IF=14.26] "Semi-identical Twins Variational AutoEncoder for Few-Shot Learning". [PDF]
- [Grant] Dr. Xi Peng (PI) is awarded AI Center of Excellence (AICoE) Seed Grant from 2023 to 2024 for "Data-driven Explanations for Knowledge Discovery in Seabed Morphodynamics Analysis."
- [Award] "NeurIPS 2022 Top Reviewer Award". Congratulations to Fengchun!
- [Grant] Dr. Xi Peng (PI) is awarded General University Research (GUR) Grant from 2022 to 2024 for “Ever-evolving Scientific Machine Learning”.
- [Grant] Dr. Xi Peng (PI) is awarded University of Delaware Research Foundation (UDRF) Grant from 2022 to 2024 for “Falls in Free-living Environments”.
- [TPAMI'22, IF=24.3] "Out-of-domain Generalization from a Single Source: A Uncertainty Quantification Approach". [PDF] Congratulations to Fengchun!
- [TMM'22, IF=8.18] "Region-aware Arbitrary-shaped Text Detection with Progressive Fusion". [PDF] Congratulations to Qitong!
- [Award] Congratulations to Fengchun for winning the Computer and Information Sciences Outstanding Graduate Student Award!
- [Award] Congratulations to Amani for winning the Computer and Information Sciences Outstanding Sophomore Student Award/Paul Amer Meritorious Award!
- [Student] Congratulations to Meng and Tang for passing their Ph.D. Preliminary Examinations!
- [CVPR'22] "Are Multimodal Transformers Robust to Missing Modality?". [PDF] Congratulations to Meng!
- [CVPR'22] "Symmetry and uncertainty-aware object slam for 6dof object pose estimation". [PDF] Congratulations to Nate!
- [Grant] Dr. Xi Peng (PI) is awarded Gift Research Grant for “Multimodal Transformers Learning”. Thanks to Snap Research for continually supporting us in 2020, 2021, and 2022!
- [Service] Dr. Xi Peng gives a talk at the University of Rochester on "Single domain generalization with uncertainty guarantee".
- [Award] Our paper won The Best Paper Award on the NeurIPS'21 machine learning in public health workshop! Congrats to Tang!
- [Service] Dr. Xi Peng serve as the Associate Editor of the Journal of Computational Intelligence.
- [Service] Dr. Xi Peng serve as the Topic Editor of the Journal of Remote Sensing.
- [NeurIPS'21W] Two papers are accepted by the NeurIPS'21 workshop and WACV'22. Congrats to Tang!
- [Service] Dr. Xi Peng serve as the Senior Program Committee of AAAI'22 and reviewer of ICLR'22.
- [Grant] Dr. Xi Peng serve as Co-I of $1.5M NSF grant (2021-2023) for Delaware and Mid-Atlantic Data Science Corps.
- [Service] Dr. Peng give two talks at NJIT BME seminar and UD bioinformatics seminar.
- [Grant] Dr. Xi Peng (Co-PI) is awarded $1M NSF grant (2021-2026) for “Characterizing the Global Illicit Trade in Energy-Critical Materials using Machine Learning.” Thanks to NSF!
- [Grant] Dr. Xi Peng (PI) is awarded Faculty Research Grant for “Multi-view Multi-modal Learning”. Thanks to Google Research!
- [Travel] We present two papers (one as oral) on the CVPR'21 virtual conference.
- [Grant] Dr. Xi Peng (Co-PI) is awarded Intellectual Neighborhood Accelerator Grant for “Predicting Impacts of Coastal Stressors.” Thanks to COE.
- [Service] Dr. Xi Peng serves as the panelist on IISE Annual Conference & Expo.
- [Travel] We present one paper (spotlight) on ICLR'21 virtual conference.
- [Grant] Dr. Xi Peng (PI) is awarded Research Grant for “Vision-based Exoskeleton Kinematic Estimation.” Thanks to CDC for continually supporting us in 2020, 2021, and 2022!
- [Media] Check the UDaily story of our $1M interdisciplinary research supported by NSF!
- [Paper] NSDI'21 AI + IoT "Adapting Wireless Mesh Network Configuration from Simulation to Reality". [PDF]
- [Service] Dr. Xi Peng serves on NSF Review Panel.
- [CVPR'21] "Uncertain Out-of-Domain Generalization" (Robust/Explainable AI). Congrats to Fengchun (2-year PhD)! [PDF]
- [CVPR'21 (Oral) rate 4.3%] "View-disentangled Human Pose Representation" (Human-centered Vision). Congrats to Long! [PDF]
- [Grant] Dr. Xi Peng (PI) is awarded Gift Research Grant for “Self-supervised Multimodal Learning.” Thanks to Snap Research for continually supporting us in 2020 and 2021!
- [ICLR'21] "High-resolution Video Synthesis" (Efficient AI). Congrats to Yu! [PDF]
- A new interdisciplinary PhD position on AI/ML/DL-based Geospatial Data Analytics is available [Link].
- [AAAI'21] "Multimodal Learning with Severely Missing Modality" (Efficient/Explainable AI) is accepted by. Congrats to Mengmeng (1-year PhD)!! [PDF/Code]
- [NeurIPS'20] "Maximum-Entropy Adversarial Data Augmentation" (Robust AI) is accepted. Congrats to Long!
- [Service] Dr. Xi Peng serves on NSF Review Panel.
- [Service] Dr. Xi Peng serve as the Guest Editor of the CVIU special issue on "Action Recognition and Detection". [Call for submissions]
- [IJCV'20] "Semantic Guided Motion Forecasting and Video Generation" (Human-centered Vision).
- [Travel] Attend CRA Career Workshop, Washington, D.C.
- [CVPR'20] "Single Domain Generalization" (Robust/Explainable AI). Congrats to Fengchun (1-year PhD)!! [PDF/Code]
- [CVPR'20] "Cross-Modal Knowledge Generalization" (Robust AI). Congrats to Long! [PDF]
- [Travel] we present two papers on NeurIPS'19, Vancouver, Canada.
- [Grant] Dr. Xi Peng (PI) received a research grant for learning with incomplete modalities. Thanks to Snap Research!
- [Travel] present our work as an Oral paper on ICCV'19, Seoul, Korea.
- [Grant] Dr. Xi Peng (PI) was awarded a seed grant for transfer learning. Thanks to Data Science Institute!
- [NeurIPS'19] "Kernel Methods for Node Representation Learning on Graphs" (Explainable AI) is accepted by. [PDF/Code]
- [NeurIPS'19] "Semantic-Guided Multi-Attention Localization for Zero-shot Learning" (Efficient AI) is accepted by. [PDF/Code]
- [Service] Dr. Xi Peng serve as invited as SPC of AAAI '20, NeurIPS'20, ICLR'20, CVPR'20.
- [Travel] Attend KDD'19, Anchorage, Alaska.
- [ICCV'19 (Oral) rate 4.7%) "Adaptive Data Augmentation" (Robust AI). [PDF/Code]
- [BMVC'19] "Construct Dynamic Graphs (GCN) for Hand Gesture Recognition" (Human-centered Vision). [PDF/Code]
- [Travel] Dr. Xi Peng attend CVPR'19, Los Angeles, California.
- [KDD'19 (Oral) rate 9.2%)] "Scalable Global Alignment Graph Kernel". [PDF]
- [Service] Dr. Xi Peng served as Session Chair of ICIG'19 special session on "Learning toward Visual Recognition in the Wild". [Call for Papers]
- [TPAMI (Impact factor: 17.73)] "Quantized U-Net" (Efficient AI). [PDF/Code]
- [Travel] Dr. Xi Peng visited Orthopedics Department at New Jersey Medical School, Newark, New Jersey.
- [CVPR'19] "Semantic Graph Convolutional Network (GCN) for 3D Human Pose Estimation" (Human-centered Vision). [PDF/Code]
- [Journal of Biomechanics] "Deep Learning-based Biomechanics Analysis" (Human-centered Vision). [PDF]
- [IEEE THMS] "Predicting Back Joint Load in Lifting" (Human-centered Vision). [PDF]
- [Service] Dr. Xi Peng served as SPC and reviewer of NIPS'19 & ICLR'19 & CVPR'19 & ICCV'19 & AAAI '19 & IJCAI'19 & ACMMM'19.