CORAL: a concurrent object-oriented system for constructing and executing sequential, parallel and distributed applications. - Daniel T. Chang (OOPSLA/ECOOP Workshop on Object-based Concurrent Programming, 1990)

Concurrency Control of Persistent Object Transactions in CORAL. - Barrett R. Bryant; Chandrasekaran Venkatapathy; Daniel T. Chang (CISMOD, 1993)

HieNet: A User-Centered Approach for Automatic Link Generation. - Daniel T. Chang (Hypertext, 1993)

Automatic Parallelization of Object-Oriented Programming Languages Using Tuple Space. - Barrett R. Bryant; Daniel T. Chang; Prakash K. Muthukrishnan; Viswanathan Vaidyanathan (ACM Conference on Computer Science, 1995)

Object and relational databases. - Jen-Yao Chung; Yi-Jing Lin; Daniel T. Chang (OOPSLA Addendum, 1995)

The OMG Mobile Agent Facility: A Submission. - Daniel T. Chang; Stefan Covaci (Mobile Agents, 1997)

A Communication Infrastrutrue for Java Agent Systems. - Daniel T. Chang; Neelakantan Sundaresan (PDPTA, 1997)

Object Persistence in Object-Oriented Applications. - V. Srinivasan; Daniel T. Chang (IBM Syst. J., 1997)

Index Design for Structured Documents Based on Abstraction. - Jyh-Herng Chow; Josephine M. Cheng; Daniel T. Chang; Jane Xu (DASFAA, 1999)

Developing a Physiologically-Based Pharmacokinetic Model Knowledgebase in Support of Provisional Model Construction. - 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; et al. (PLoS Comput. Biol., 2016)

Deep 3D Dose Analysis for Prediction of Outcomes After Liver Stereotactic Body Radiation Therapy. - Bulat Ibragimov; Diego A. S. Toesca; Yixuan Yuan; Albert C. Koong; Daniel T. Chang; Lei Xing 001 (MICCAI (2), 2018)

Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients (PPES-Met) Utilizing Free-Text Clinical Narratives. - Imon Banerjee; Michael Francis Gensheimer; Douglas J. Wood; Solomon Henry; Daniel T. Chang; Daniel L. Rubin (CoRR, 2018)

Concept-Oriented Deep Learning. - Daniel T. Chang (CoRR, 2018)

Concept-Oriented Deep Learning: Generative Concept Representations. - Daniel T. Chang (CoRR, 2018)

Latent Variable Modeling for Generative Concept Representations and Deep Generative Models. - Daniel T. Chang (CoRR, 2018)

Probabilistic Generative Deep Learning for Molecular Design. - Daniel T. Chang (CoRR, 2019)

Tiered Latent Representations and Latent Spaces for Molecular Graphs. - Daniel T. Chang (CoRR, 2019)

Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs. - Daniel T. Chang (CoRR, 2019)

Deep Learning for Molecular Graphs with Tiered Graph Autoencoders and Graph Classification. - Daniel T. Chang (CoRR, 2019)

Bayesian Hyperparameter Optimization with BoTorch, GPyTorch and Ax. - Daniel T. Chang (CoRR, 2019)

Neural Networks for Deep Radiotherapy Dose Analysis and Prediction of Liver SBRT Outcomes. - Bulat Ibragimov; Diego A. S. Toesca; Yixuan Yuan; Albert C. Koong; Daniel T. Chang; Lei Xing 001 (IEEE J. Biomed. Health Informatics, 2019)

Geometric Graph Representations and Geometric Graph Convolutions for Deep Learning on Three-Dimensional (3D) Graphs. - Daniel T. Chang (CoRR, 2020)

Distance-Geometric Graph Convolutional Network (DG-GCN). - Daniel T. Chang (CoRR, 2020)

Automated hepatobiliary toxicity prediction after liver stereotactic body radiation therapy with deep learning-based portal vein segmentation. - Bulat Ibragimov; Diego A. S. Toesca; Daniel T. Chang; Yixuan Yuan; Albert C. Koong; Lei Xing 001 (Neurocomputing, 2020)

Probabilistic Deep Learning with Probabilistic Neural Networks and Deep Probabilistic Models. - Daniel T. Chang (CoRR, 2021)

Bayesian Neural Networks: Essentials. - Daniel T. Chang (CoRR, 2021)

Hybrid Bayesian Neural Networks with Functional Probabilistic Layers. - Daniel T. Chang (CoRR, 2021)

Concept Representation Learning with Contrastive Self-Supervised Learning. - Daniel T. Chang (CoRR, 2021)

Automated model versus treating physician for predicting survival time of patients with metastatic cancer. - 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 (J. Am. Medical Informatics Assoc., 2021)

Exemplar-Based Contrastive Self-Supervised Learning with Few-Shot Class Incremental Learning. - Daniel T. Chang (CoRR, 2022)

Dual Embodied-Symbolic Concept Representations for Deep Learning. - Daniel T. Chang (CoRR, 2022)

Embodied-Symbolic Contrastive Graph Self-Supervised Learning for Molecular Graphs. - Daniel T. Chang (CoRR, 2022)

Distance-Geometric Graph Attention Network (DG-GAT) for 3D Molecular Geometry. - Daniel T. Chang (CoRR, 2022)

Parameterized Quantum Circuits with Quantum Kernels for Machine Learning: A Hybrid Quantum-Classical Approach. - Daniel T. Chang (CoRR, 2022)

Variational Quantum Kernels with Task-Specific Quantum Metric Learning. - Daniel T. Chang (CoRR, 2022)

Variational Quantum Classifiers for Natural-Language Text. - Daniel T. Chang (CoRR, 2023)

Concept-Oriented Deep Learning with Large Language Models. - Daniel T. Chang (CoRR, 2023)

Adaptive Region-Specific Loss for Improved Medical Image Segmentation. - 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; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Hypergraph: A Unified and Uniform Definition with Application to Chemical Hypergraph. - Daniel T. Chang (CoRR, 2024)

Combined In Vitro and In Silico Workflow to Deliver Robust, Transparent, and Contextually Rigorous Models of Bioactivity. - Nathaniel Charest; Gabriel Sinclair; Stephanie A. Eytcheson; Daniel T. Chang; Todd M. Martin; Charles N. Lowe; Katie Paul Friedman; Antony J. Williams (J. Chem. Inf. Model., 2025)

Correction to Citation in "Combined In Vitro and In Silico Workflow to Deliver Robust, Transparent, and Contextually Rigorous Models of Bioactivity". - Nathaniel Charest; Gabriel Sinclair; Stephanie A. Eytcheson; Daniel T. Chang; Todd M. Martin; Charles N. Lowe; Katie Paul Friedman; Antony J. Williams (J. Chem. Inf. Model., 2025)

Individual Causal Inference with Structural Causal Model. - Daniel T. Chang (CoRR, 2025)