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Tao Xu 0020

dblp:96/6771-20 · DBLP profile ↗
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3ranked-venue papers
2as first author
3since 2021 · last 2023
0000-0001-6699-3365ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 2 first-author · 3 since 2021Databases, data management, data science and information retrieval · 3 · 2 first-author · 3 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
3 papers
Medical and health informatics · 100%
Artificial intelligence
3 papers
Trustworthy machine learning · 78% Language models and text generation · 22%
Human-computer interaction and pervasive computing
1 paper
Human-AI interaction · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Trustworthy machine learning
interpretability
0.612022
Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI · KDD 2022
Natural language and speech › Language models and text generation › pre-trained language model › biomedical language model
medical large language model
0.212023
Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare · KDD 2023
Human-AI interaction
human-centered AI
0.212022
Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI · KDD 2022
Machine learning › Trustworthy machine learning › interpretability
explainable AI
0.112021
KDD Health Day/DSHealth 2021: Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare: State of XAI and Trustworthiness in Health · KDD 2021

Methods — techniques the papers use, named apart from their topics

data science · 2.7large language model · 1.3generative modeling · 1.3explainable AI · 1.0
YearPublicationVenuePosition
2023 Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare
abstract
Built on the success of the past five years, KDD DSHealth 2023 will further catalyze the development of links between academic and industrial data science groups. The workshop aims to stimulate discussion on strategic areas for development and to facilitate future cross-disciplinary collaborations. In accordance with the multi-year goal to continue fostering this community via timely topics, this year the workshop will focus on the applications and new development of generative models in healthcare, including the new development and application of LLMs. The workshop invites full papers, as well as work-in-progress on the application of data science in healthcare. The workshop will feature two invited talks from eminent speakers, spanning academia, industry, clinical researchers, and governmental regulatory bodies. In addition, we will invite community members to submit their research works and bring them for discussion. The summary gives a brief description of the half-day workshop to be held on August 7th, 2023.
Tao Xu 0020, Fei Wang 0001, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian 0001, Lixia Yao, Alexej Gossmann, Florian Buettner 0001
KDD1
2022 Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI
abstract
KDD DSHealth 2022, aims to build on the success of the past four years to further catalyze the development of links between academic and commercial data science groups and the rapidly developing translational medicine informatics community. The workshop will stimulate discussion as to strategic areas for development and will lead to future cross-disciplinary collaborations. In accordance with the multi-year goal to continue fostering this community as a series of KDD workshops via timely topics, this year the workshop will focus on the transparency and human-centered AI in healthcare. The workshop invites full papers, as well as work-in-progress on the application of data science in healthcare. The workshop will feature four invited talks from eminent speakers, spanning academia, industry, clinical researchers, and governmental regulatory bodies. In addition, selected papers will be invited to publish in a special issue of Journal of Healthcare Informatics Research. The summary gives a brief description of the full-day workshop to be held on August 14th, 2022.
Tao Xu 0020, Fei Wang 0001, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian 0001, Lixia Yao, Alexej Gossmann, Florian Buettner 0001
KDD1
2021 KDD Health Day/DSHealth 2021: Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare: State of XAI and Trustworthiness in Health
abstract
KDD Health Day/DSHealth 2021, aims to build on the success of the past 3 years to further catalyze the development of links between academic and commercial data science groups and the rapidly developing translational medicine informatics community. The workshop will stimulate discussion as to strategic areas for development and will lead to future cross-disciplinary collaborations. In accordance with the multi-year goal to continue fostering this community as a series of KDD workshops via timely topics, this year the workshop will focus on the state of explainability and trustworthiness in healthcare. The workshop invites full papers, as well as work-in-progress on the application of data science in healthcare. The workshop will feature 8 invited talks from eminent speakers across academia, industry, clinical researchers, and governmental regulatory bodies. In addition, selected papers will be invited to publish in a special issue of Artificial Intelligence in Medicine journal. The summary gives a brief description of the full-day workshop to be held on August, 2021 virtually.
Fei Wang 0001, Prithwish Chakraborty, Tao Xu 0020, Pei-Yun Sabrina Hsueh, Xudong Sun 0014, Gregor Stiglic, Gracy Crane, Jiang Bian 0001, Laleh Haghverdi, Lixia Yao, Florian Buettner 0001
KDD3