Daniel T. Chang

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 30

Top Topics

Medical Image Segmentation

Graph Representations

Radiation Therapy

Top Venues

IEEE J. Biomed. Health Informatics

IEEE Trans. Pattern Anal. Mach. Intell.

J. Am. Medical Informatics Assoc.

Publications

Daniel T. Chang
Hypergraph: A Unified and Uniform Definition with Application to Chemical Hypergraph. CoRR (2024)
Daniel T. Chang
Variational Quantum Classifiers for Natural-Language Text. CoRR (2023)
Yizheng Chen, Lequan Yu, Jen-Yeu Wang, Neil Panjwani, Jean-Pierre Obeid, Wu Liu, Lianli Liu, Nataliya Kovalchuk, Michael Francis Gensheimer, Lucas Kas Vitzthum, Beth M. Beadle, Daniel T. Chang, Quynh-Thu Le, Bin Han, Lei Xing
Adaptive Region-Specific Loss for Improved Medical Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Daniel T. Chang
Concept-Oriented Deep Learning with Large Language Models. CoRR (2023)
Daniel T. Chang
Exemplar-Based Contrastive Self-Supervised Learning with Few-Shot Class Incremental Learning. CoRR (2022)
Daniel T. Chang
Dual Embodied-Symbolic Concept Representations for Deep Learning. CoRR (2022)
Daniel T. Chang
Embodied-Symbolic Contrastive Graph Self-Supervised Learning for Molecular Graphs. CoRR (2022)
Daniel T. Chang
Distance-Geometric Graph Attention Network (DG-GAT) for 3D Molecular Geometry. CoRR (2022)
Daniel T. Chang
Variational Quantum Kernels with Task-Specific Quantum Metric Learning. CoRR (2022)
Daniel T. Chang
Parameterized Quantum Circuits with Quantum Kernels for Machine Learning: A Hybrid Quantum-Classical Approach. CoRR (2022)
Daniel T. Chang
Bayesian Neural Networks: Essentials. CoRR (2021)
Daniel T. Chang
Concept Representation Learning with Contrastive Self-Supervised Learning. CoRR (2021)
Daniel T. Chang
Hybrid Bayesian Neural Networks with Functional Probabilistic Layers. CoRR (2021)
Michael Francis Gensheimer, Sonya Aggarwal, Kathryn R. K. Benson, Justin N. Carter, Solomon Henry, Douglas J. Wood, Scott G. Soltys, Steven Hancock, Erqi Pollom, Nigam H. Shah, Daniel T. Chang
Automated model versus treating physician for predicting survival time of patients with metastatic cancer. J. Am. Medical Informatics Assoc. 28 (6) (2021)
Daniel T. Chang
Probabilistic Deep Learning with Probabilistic Neural Networks and Deep Probabilistic Models. CoRR (2021)
Bulat Ibragimov, Diego A. S. Toesca, Daniel T. Chang, Yixuan Yuan, Albert C. Koong, Lei Xing
Automated hepatobiliary toxicity prediction after liver stereotactic body radiation therapy with deep learning-based portal vein segmentation. Neurocomputing 392 (2020)
Daniel T. Chang
Distance-Geometric Graph Convolutional Network (DG-GCN). CoRR (2020)
Daniel T. Chang
Geometric Graph Representations and Geometric Graph Convolutions for Deep Learning on Three-Dimensional (3D) Graphs. CoRR (2020)
Daniel T. Chang
Tiered Latent Representations and Latent Spaces for Molecular Graphs. CoRR (2019)
Bulat Ibragimov, Diego A. S. Toesca, Yixuan Yuan, Albert C. Koong, Daniel T. Chang, Lei Xing
Neural Networks for Deep Radiotherapy Dose Analysis and Prediction of Liver SBRT Outcomes. IEEE J. Biomed. Health Informatics 23 (5) (2019)
Daniel T. Chang
Bayesian Hyperparameter Optimization with BoTorch, GPyTorch and Ax. CoRR (2019)
Daniel T. Chang
Probabilistic Generative Deep Learning for Molecular Design. CoRR (2019)
Daniel T. Chang
Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs. CoRR (2019)
Daniel T. Chang
Deep Learning for Molecular Graphs with Tiered Graph Autoencoders and Graph Classification. CoRR (2019)
Daniel T. Chang
Latent Variable Modeling for Generative Concept Representations and Deep Generative Models. CoRR (2018)
Bulat Ibragimov, Diego A. S. Toesca, Yixuan Yuan, Albert C. Koong, Daniel T. Chang, Lei Xing
Deep 3D Dose Analysis for Prediction of Outcomes After Liver Stereotactic Body Radiation Therapy. MICCAI (2) (2018)
Daniel T. Chang
Concept-Oriented Deep Learning: Generative Concept Representations. CoRR (2018)
Imon Banerjee, Michael Francis Gensheimer, Douglas J. Wood, Solomon Henry, Daniel T. Chang, Daniel L. Rubin
Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients (PPES-Met) Utilizing Free-Text Clinical Narratives. CoRR (2018)
Daniel T. Chang
Concept-Oriented Deep Learning. CoRR (2018)
Jingtao Lu, Michael-Rock Goldsmith, Christopher M. Grulke, Daniel T. Chang, Raina D. Brooks, Jeremy A. Leonard, Martin B. Phillips, Ethan D. Hypes, Matthew J. Fair, Rogelio Tornero-Velez, Jeffre Johnson, Curtis C. Dary, Yu-Mei Tan
Developing a Physiologically-Based Pharmacokinetic Model Knowledgebase in Support of Provisional Model Construction. PLoS Comput. Biol. 12 (2) (2016)
Jyh-Herng Chow, Josephine M. Cheng, Daniel T. Chang, Jane Xu
Index Design for Structured Documents Based on Abstraction. DASFAA (1999)
Daniel T. Chang, Stefan Covaci
The OMG Mobile Agent Facility: A Submission. Mobile Agents (1997)
V. Srinivasan, Daniel T. Chang
Object Persistence in Object-Oriented Applications. IBM Syst. J. 36 (1) (1997)
Daniel T. Chang, Neelakantan Sundaresan
A Communication Infrastrutrue for Java Agent Systems. PDPTA (1997)
Barrett R. Bryant, Daniel T. Chang, Prakash K. Muthukrishnan, Viswanathan Vaidyanathan
Automatic Parallelization of Object-Oriented Programming Languages Using Tuple Space. ACM Conference on Computer Science (1995)
Jen-Yao Chung, Yi-Jing Lin, Daniel T. Chang
Object and relational databases. OOPS Messenger 6 (4) (1995)
Daniel T. Chang
HieNet: A User-Centered Approach for Automatic Link Generation. Hypertext (1993)
Barrett R. Bryant, Chandrasekaran Venkatapathy, Daniel T. Chang
Concurrency Control of Persistent Object Transactions in CORAL. CISMOD (1993)
Daniel T. Chang
CORAL: a concurrent object-oriented system for constructing and executing sequential, parallel and distributed applications. OOPS Messenger 2 (2) (1991)