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Weishi Shi
ORCID
Publication Activity (10 Years)
Years Active: 2017-2024
Publications (10 Years): 21
Top Topics
Gaussian Process
Multiple Instance Learning
Tag Recommendation
Active Learning
Top Venues
NeurIPS
CoRR
ACM Trans. Internet Techn.
ICML
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Publications
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Weishi Shi
,
Heather Moses
,
Qi Yu
,
Samuel A. Malachowsky
,
Daniel E. Krutz
ALL: Supporting Experiential Accessibility Education and Inclusive Software Development.
ACM Trans. Softw. Eng. Methodol.
33 (2) (2024)
Dayou Yu
,
Weishi Shi
,
Qi Yu
Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning.
ICML
(2023)
Dayou Yu
,
Weishi Shi
,
Qi Yu
Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice.
NeurIPS
(2023)
Dayou Yu
,
Weishi Shi
,
Qi Yu
STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations.
AAAI
(2023)
Moayad Alshangiti
,
Weishi Shi
,
Eduardo Lima
,
Xumin Liu
,
Qi Yu
Hierarchical Bayesian multi-kernel learning for integrated classification and summarization of app reviews.
ESEC/SIGSOFT FSE
(2022)
Yuansheng Zhu
,
Weishi Shi
,
Deep Shankar Pandey
,
Yang Liu
,
Xiaofan Que
,
Daniel E. Krutz
,
Qi Yu
Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data.
IEEE BigData
(2021)
Weishi Shi
,
Qi Yu
Active Learning with Maximum Margin Sparse Gaussian Processes.
AISTATS
(2021)
Yuansheng Zhu
,
Weishi Shi
,
Deep Shankar Pandey
,
Yang Liu
,
Xiaofan Que
,
Daniel E. Krutz
,
Qi Yu
Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data.
CoRR
(2021)
Weishi Shi
,
Dayou Yu
,
Qi Yu
A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning.
NeurIPS
(2021)
Weishi Shi
,
Saad Khan
,
Yasmine N. El-Glaly
,
Samuel A. Malachowsky
,
Qi Yu
,
Daniel E. Krutz
Experiential learning in computing accessibility education.
ICSE (Companion Volume)
(2020)
Yasmine N. El-Glaly
,
Weishi Shi
,
Samuel A. Malachowsky
,
Qi Yu
,
Daniel E. Krutz
Presenting and evaluating the impact of experiential learning in computing accessibility education.
ICSE (SEET)
(2020)
Moayad Alshangiti
,
Weishi Shi
,
Xumin Liu
,
Qi Yu
A Bayesian learning model for design-phase service mashup popularity prediction.
Expert Syst. Appl.
149 (2020)
Weishi Shi
,
Samuel A. Malachowsky
,
Yasmine N. El-Glaly
,
Qi Yu
,
Daniel E. Krutz
Presenting and Evaluating the Impact of Experiential Learning in Computing Accessibility Education.
CoRR
(2020)
Weishi Shi
,
Xujiang Zhao
,
Feng Chen
,
Qi Yu
Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning.
NeurIPS
(2020)
Weishi Shi
,
Qi Yu
Integrating Bayesian and Discriminative Sparse Kernel Machines for Multi-class Active Learning.
NeurIPS
(2019)
Weishi Shi
,
Qi Yu
Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning.
ICML
(2019)
Eduardo Lima
,
Weishi Shi
,
Xumin Liu
,
Qi Yu
Integrating Multi-level Tag Recommendation with External Knowledge Bases for Automatic Question Answering.
ACM Trans. Internet Techn.
19 (3) (2019)
Nse Obot
,
Laura OrMalley
,
Ifeoma Nwogu
,
Qi Yu
,
Weishi Shi
,
Xuan Guo
From Novice to Expert Narratives of Dermatological Disease.
PerCom Workshops
(2018)
Weishi Shi
,
Qi Yu
An Efficient Many-Class Active Learning Framework for Knowledge-Rich Domains.
ICDM
(2018)
Xumin Liu
,
Weishi Shi
,
Arpeet Kale
,
Chen (Cherie) Ding
,
Qi Yu
Statistical Learning of Domain-Specific Quality-of-Service Features from User Reviews.
ACM Trans. Internet Techn.
17 (2) (2017)
Weishi Shi
,
Xumin Liu
,
Qi Yu
Correlation-Aware Multi-Label Active Learning for Web Service Tag Recommendation.
ICWS
(2017)