Daniel T. Chang

According to our database, Daniel T. Chang authored at least 38 papers between 1990 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Quynh-Thu Le, Bin Han, Lei Xing

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Concept-Oriented Deep Learning with Large Language Models.

Daniel T. Chang

CoRR, 2023

Variational Quantum Classifiers for Natural-Language Text.

Daniel T. Chang

CoRR, 2023

2022

Variational Quantum Kernels with Task-Specific Quantum Metric Learning.

Daniel T. Chang

CoRR, 2022

Parameterized Quantum Circuits with Quantum Kernels for Machine Learning: A Hybrid Quantum-Classical Approach.

Daniel T. Chang

CoRR, 2022

Distance-Geometric Graph Attention Network (DG-GAT) for 3D Molecular Geometry.

Daniel T. Chang

CoRR, 2022

Embodied-Symbolic Contrastive Graph Self-Supervised Learning for Molecular Graphs.

Daniel T. Chang

CoRR, 2022

Dual Embodied-Symbolic Concept Representations for Deep Learning.

Daniel T. Chang

CoRR, 2022

Exemplar-Based Contrastive Self-Supervised Learning with Few-Shot Class Incremental Learning.

Daniel T. Chang

CoRR, 2022

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

Concept Representation Learning with Contrastive Self-Supervised Learning.

Daniel T. Chang

CoRR, 2021

Hybrid Bayesian Neural Networks with Functional Probabilistic Layers.

Daniel T. Chang

CoRR, 2021

Bayesian Neural Networks: Essentials.

Daniel T. Chang

CoRR, 2021

Probabilistic Deep Learning with Probabilistic Neural Networks and Deep Probabilistic Models.

Daniel T. Chang

CoRR, 2021

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

Neurocomputing, 2020

Distance-Geometric Graph Convolutional Network (DG-GCN).

Daniel T. Chang

CoRR, 2020

Geometric Graph Representations and Geometric Graph Convolutions for Deep Learning on Three-Dimensional (3D) Graphs.

Daniel T. Chang

CoRR, 2020

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

IEEE J. Biomed. Health Informatics, 2019

Bayesian Hyperparameter Optimization with BoTorch, GPyTorch and Ax.

Daniel T. Chang

CoRR, 2019

Deep Learning for Molecular Graphs with Tiered Graph Autoencoders and Graph Classification.

Daniel T. Chang

CoRR, 2019

Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs.

Daniel T. Chang

CoRR, 2019

Tiered Latent Representations and Latent Spaces for Molecular Graphs.

Daniel T. Chang

CoRR, 2019

Probabilistic Generative Deep Learning for Molecular Design.

Daniel T. Chang

CoRR, 2019

2018

Latent Variable Modeling for Generative Concept Representations and Deep Generative Models.

Daniel T. Chang

CoRR, 2018

Concept-Oriented Deep Learning: Generative Concept Representations.

Daniel T. Chang

CoRR, 2018

Concept-Oriented Deep Learning.

Daniel T. Chang

CoRR, 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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2016

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, Yu-Mei Tan

PLoS Comput. Biol., 2016

1999

Index Design for Structured Documents Based on Abstraction.

Jyh-Herng Chow, Josephine M. Cheng, Daniel T. Chang, Jane Xu

Proceedings of the Database Systems for Advanced Applications, 1999

1997

Object Persistence in Object-Oriented Applications.

V. Srinivasan, Daniel T. Chang

IBM Syst. J., 1997

A Communication Infrastrutrue for Java Agent Systems.

Daniel T. Chang, Neelakantan Sundaresan

Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 1997

The OMG Mobile Agent Facility: A Submission.

Daniel T. Chang, Stefan Covaci

Proceedings of the Mobile Agents, First International Workshop, 1997

1995

Object and relational databases.

Jen-Yao Chung, Yi-Jing Lin, Daniel T. Chang

Proceedings of the Addendum to the Proceedings of the 10th Annual Conference on Object-Oriented Programming Systems, 1995

Automatic Parallelization of Object-Oriented Programming Languages Using Tuple Space.

Barrett R. Bryant, Daniel T. Chang, Prakash K. Muthukrishnan, Viswanathan Vaidyanathan

Proceedings of the 1995 ACM 23rd Annual Conference on Computer Science, CSC '95, Nashville, TN, USA, February 28, 1995

1993

HieNet: A User-Centered Approach for Automatic Link Generation.

Daniel T. Chang

Proceedings of the Hypertext'93 Proceedings, 1993

Concurrency Control of Persistent Object Transactions in CORAL.

Barrett R. Bryant, Chandrasekaran Venkatapathy, Daniel T. Chang

Proceedings of the International Conference on Information Systems and Management of Data, 1993

1990

CORAL: a concurrent object-oriented system for constructing and executing sequential, parallel and distributed applications.

Daniel T. Chang

Proceedings of the Workshop on Object-based Concurrent Programming, 1990