Recipient of the 2025 Excellence in Graduate Student Research Award from UC Davis College of Engineering
Paper 'ReME: A Data-Centric Framework for Training-Free Open-Vocabulary Segmentation' accepted by ICCV 2025 as a Highlight Paper
Paper 'VISLIX: An XAI Framework for Validating Vision Models with Slice Discovery and Analysis' accepted by EuroVis 2025
Two papers ('AttributionScanner' and 'VISTA') accepted by IEEE TVCG in 2025
Paper 'SLIM: Spuriousness Mitigation with Minimal Human Annotations' accepted by ECCV 2024
Paper 'USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation' accepted by CVPR 2024
Paper 'SUNY' accepted by XAI4CV Workshop at CVPR 2024
Paper 'LabelVizier' accepted by IEEE PacificVis 2023
Paper 'VAC-CNN' accepted by IEEE PacificVis 2022 and selected as a high-quality paper for IEEE TVCG publication
Background
Ph.D. candidate in the Department of Computer Science at the University of California, Davis
Research lies at the intersection of artificial intelligence, computer vision, and data analytics
Focuses on advancing responsible and efficient AI scaling across heterogeneous modalities and diverse applications
Designs efficient learning algorithms, AI-aided data analytics, and collaborative multi-modal/multi-agent systems to improve model trustworthiness, data quality, and AI adaptability
Collaborates with researchers from National Taiwan University, Bosch Center for Artificial Intelligence, NIST, LANL, and Johns Hopkins University