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Articles by Junbin Gao
Integration and annotation of spatial multi-omic data with DIRAC
Abstract Spatial multi-omic technologies measure multiple molecular layers within intact tissues. Two central challenges are vertical integration, which combines different molecular modalities, and horizontal integration, which aligns cell types across studies. Here we show domain invariant representation through adaptive calibration (DIRAC), a geometric deep learning model that unifies these tasks in a generalized domain adaptation framework.
Relationship between data bias and model fairness in machine learning
Abstract Ensuring fairness in machine learning (ML) applications remains a critical challenge, particularly in high-stakes domains such as healthcare, finance, and criminal justice. Bias in training data is widely considered a key driver of unfair outcomes. However, the relationship between data bias and fairness violations in ML models is not always straightforward.
Global Stock Market Volatility Forecasting Incorporating Dynamic Graphs and All Trading Days
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement Data were downloaded from the Oxford-man Institute's realized library. The authors confirm that the data supporting the findings of this study are available within the Supporting Information of the paper. References , and . 1998. “Answering the Skeptics: Yes, Standard Volatility Models Do Provide Accurate Forecasts.” International Economic Review 39, no. 4: 885–905. , , , and . 2018.
A novel approach for assessing fairness in deployed machine learning algorithms - Scientific Reports
Abstract Fairness in machine learning (ML) emerges as a critical concern as AI systems increasingly influence diverse aspects of society, from healthcare decisions to legal judgments. Many studies show evidence of unfair ML outcomes. However, the current body of literature lacks a statistically validated approach that can evaluate the fairness of a deployed ML algorithm against a dataset.
Effects of Oil and Solid Body Temperatures on Elastohydrodynamic Lubrication Film Formation
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Light‐Driven Biomimetic Nanomotors for Enhanced Photothermal Therapy
Conflict of Interest The authors declare no conflict of interest. Supporting Information Filename Description smll202306208-sup-0001-SuppMat.pdf1.1 MB Supporting information smll202306208-sup-0002-MovieS1.mp41.1 MB Supporting information smll202306208-sup-0003-MovieS2.mp41.1 MB Supporting information References 1, Nat Rev Drug Discov 2013, 12, 171. 2, , , , , , , , , , , , , , Adv. Sci. (Weinh) 2020, 7, 1903642. 3, , , , , , , ACS Appl. Mater. Interfaces 2020, 12, 12600.
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment
[Submitted on 5 Jul 2023 ( v1 ), last revised 8 May 2025 (this version, v3)] Title:Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment View a PDF of the paper titled Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment, by Qijie Ding and 2 other authors View PDF HTML (experimental) Abstract:Entity alignment (EA) aims at identifying equivalent entity pairs across different knowledge graphs (KGs) that refer to the same...
QDN: A Quadruplet Distributor Network for Temporal Knowledge Graph Completion
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[2210.10993] A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs
arXiv:2210.10993 (cs) [Submitted on 20 Oct 2022 (v1), last revised 2 May 2023 (this version, v2)] Download a PDF of the paper titled A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs, by Lequan Lin and Junbin Gao Download PDF Submission history From: Lequan Lin [ view email] [v1] Thu, 20 Oct 2022 03:37:29 UTC (334 KB) [v2] Tue, 2 May 2023 23:59:25 UTC (702 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps Toggle Litmaps (What is...
Near infrared light activation of injectable whole-cell cancer vaccine for cancer immunoprophylaxis and immunotherapy
Near infrared light activation of injectable whole-cell cancer vaccine for cancer immunoprophylaxis and immunotherapy Cancer vaccines play a key role in the prevention and treatment of early and recurrent tumors. Although they have been widely studied during the past decades, designing an efficient and economical cancer vaccine is still challenging.
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