Daniel T. Chang

42 papers B 1Misc 1Journal 33Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Combined J. Chem. Inf. Model. Nathaniel Charest, Gabriel Sinclair, Stephanie A. Eytcheson, Daniel T. Chang, Todd M. Martin, Charles N. Lowe, Katie Paul Friedman, Antony J. Williams
2025	J	`jnl`	Correction to Citation in "Combined J. Chem. Inf. Model. Nathaniel Charest, Gabriel Sinclair, Stephanie A. Eytcheson, Daniel T. Chang, Todd M. Martin, Charles N. Lowe, Katie Paul Friedman, Antony J. Williams
2025	J	`jnl`	Individual Causal Inference with Structural Causal Model. CoRR Daniel T. Chang
2024	J	`jnl`	Hypergraph: A Unified and Uniform Definition with Application to Chemical Hypergraph. CoRR Daniel T. Chang
2023	J	`jnl`	Adaptive Region-Specific Loss for Improved Medical Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 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
2023	J	`jnl`	Concept-Oriented Deep Learning with Large Language Models. CoRR Daniel T. Chang
2023	J	`jnl`	Variational Quantum Classifiers for Natural-Language Text. CoRR Daniel T. Chang
2022	J	`jnl`	Distance-Geometric Graph Attention Network (DG-GAT) for 3D Molecular Geometry. CoRR Daniel T. Chang
2022	J	`jnl`	Dual Embodied-Symbolic Concept Representations for Deep Learning. CoRR Daniel T. Chang
2022	J	`jnl`	Embodied-Symbolic Contrastive Graph Self-Supervised Learning for Molecular Graphs. CoRR Daniel T. Chang
2022	J	`jnl`	Exemplar-Based Contrastive Self-Supervised Learning with Few-Shot Class Incremental Learning. CoRR Daniel T. Chang
2022	J	`jnl`	Parameterized Quantum Circuits with Quantum Kernels for Machine Learning: A Hybrid Quantum-Classical Approach. CoRR Daniel T. Chang
2022	J	`jnl`	Variational Quantum Kernels with Task-Specific Quantum Metric Learning. CoRR Daniel T. Chang
2021	J	`jnl`	Automated model versus treating physician for predicting survival time of patients with metastatic cancer. J. Am. Medical Informatics Assoc. 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
2021	J	`jnl`	Bayesian Neural Networks: Essentials. CoRR Daniel T. Chang
2021	J	`jnl`	Concept Representation Learning with Contrastive Self-Supervised Learning. CoRR Daniel T. Chang
2021	J	`jnl`	Hybrid Bayesian Neural Networks with Functional Probabilistic Layers. CoRR Daniel T. Chang
2021	J	`jnl`	Probabilistic Deep Learning with Probabilistic Neural Networks and Deep Probabilistic Models. CoRR Daniel T. Chang
2020	J	`jnl`	Automated hepatobiliary toxicity prediction after liver stereotactic body radiation therapy with deep learning-based portal vein segmentation. Neurocomputing Bulat Ibragimov, Diego A. S. Toesca, Daniel T. Chang, Yixuan Yuan, Albert C. Koong, Lei Xing
2020	J	`jnl`	Distance-Geometric Graph Convolutional Network (DG-GCN). CoRR Daniel T. Chang
2020	J	`jnl`	Geometric Graph Representations and Geometric Graph Convolutions for Deep Learning on Three-Dimensional (3D) Graphs. CoRR Daniel T. Chang
2019	J	`jnl`	Bayesian Hyperparameter Optimization with BoTorch, GPyTorch and Ax. CoRR Daniel T. Chang
2019	J	`jnl`	Deep Learning for Molecular Graphs with Tiered Graph Autoencoders and Graph Classification. CoRR Daniel T. Chang
2019	J	`jnl`	Neural Networks for Deep Radiotherapy Dose Analysis and Prediction of Liver SBRT Outcomes. IEEE J. Biomed. Health Informatics Bulat Ibragimov, Diego A. S. Toesca, Yixuan Yuan, Albert C. Koong, Daniel T. Chang, Lei Xing
2019	J	`jnl`	Probabilistic Generative Deep Learning for Molecular Design. CoRR Daniel T. Chang
2019	J	`jnl`	Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs. CoRR Daniel T. Chang
2019	J	`jnl`	Tiered Latent Representations and Latent Spaces for Molecular Graphs. CoRR Daniel T. Chang
2018	J	`jnl`	Concept-Oriented Deep Learning. CoRR Daniel T. Chang
2018	J	`jnl`	Concept-Oriented Deep Learning: Generative Concept Representations. CoRR Daniel T. Chang
2018	—	`conf`	Deep 3D Dose Analysis for Prediction of Outcomes After Liver Stereotactic Body Radiation Therapy. MICCAI (2) Bulat Ibragimov, Diego A. S. Toesca, Yixuan Yuan, Albert C. Koong, Daniel T. Chang, Lei Xing
2018	J	`jnl`	Latent Variable Modeling for Generative Concept Representations and Deep Generative Models. CoRR Daniel T. Chang
2018	J	`jnl`	Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients (PPES-Met) Utilizing Free-Text Clinical Narratives. CoRR Imon Banerjee, Michael Francis Gensheimer, Douglas J. Wood, Solomon Henry, Daniel T. Chang, Daniel L. Rubin
2016	J	`jnl`	Developing a Physiologically-Based Pharmacokinetic Model Knowledgebase in Support of Provisional Model Construction. PLoS Comput. Biol. 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
1999	B	`conf`	Index Design for Structured Documents Based on Abstraction. DASFAA Jyh-Herng Chow, Josephine M. Cheng, Daniel T. Chang, Jane Xu
1997	Misc	`conf`	A Communication Infrastrutrue for Java Agent Systems. PDPTA Daniel T. Chang, Neelakantan Sundaresan
1997	J	`jnl`	Object Persistence in Object-Oriented Applications. IBM Syst. J. V. Srinivasan, Daniel T. Chang
1997	—	`conf`	The OMG Mobile Agent Facility: A Submission. Mobile Agents Daniel T. Chang, Stefan Covaci
1995	—	`conf`	Automatic Parallelization of Object-Oriented Programming Languages Using Tuple Space. ACM Conference on Computer Science Barrett R. Bryant, Daniel T. Chang, Prakash K. Muthukrishnan, Viswanathan Vaidyanathan
1995	—	`conf`	Object and relational databases. OOPSLA Addendum Jen-Yao Chung, Yi-Jing Lin, Daniel T. Chang
1993	—	`conf`	Concurrency Control of Persistent Object Transactions in CORAL. CISMOD Barrett R. Bryant, Chandrasekaran Venkatapathy, Daniel T. Chang
1993	—	`conf`	HieNet: A User-Centered Approach for Automatic Link Generation. Hypertext Daniel T. Chang
1990	—	`conf`	CORAL: a concurrent object-oriented system for constructing and executing sequential, parallel and distributed applications. OOPSLA/ECOOP Workshop on Object-based Concurrent Programming Daniel T. Chang