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2020 – today
- 2024
[j4]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): 39:1-39:30 (2024)- [c20]Riyad Bin Rafiq, Weishi Shi, Mark V. Albert:
Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation. IJCAI 2024: 7438-7446 - [c19]Mohammad Abu-Shaira, Weishi Shi:
Unveiling Statistical Significance of Online Regression Over Multiple Datasets. MIPR 2024: 274-279 - [c18]Minghao Li, Junjie Qiu, Weishi Shi:
Macro-AUC-Driven Active Learning Strategy for Multi-Label Classification Enhancement. MIPR 2024: 280-286 - [c17]Md. Abdullah Al Forhad, Weishi Shi:
Balancing Explanations and Adaptation in Offline Continual Learning Systems Using Active Augmented Reply. MIPR 2024: 484-490 - [c16]Dayou Yu, Minghao Li, Weishi Shi, Qi Yu:
Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity. NeurIPS 2024 - [i3]Riyad Bin Rafiq, Weishi Shi, Mark V. Albert:
Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation. CoRR abs/2405.08969 (2024) - 2023
- [c15]Dayou Yu, Weishi Shi, Qi Yu:
STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations. AAAI 2023: 10980-10988 - [c14]Dayou Yu, Weishi Shi, Qi Yu:
Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning. ICML 2023: 40321-40338 - [c13]Dayou Yu, Weishi Shi, Qi Yu:
Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice. NeurIPS 2023 - 2022
- [c12]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: 558-569 - 2021
- [c11]Weishi Shi, Qi Yu:
Active Learning with Maximum Margin Sparse Gaussian Processes. AISTATS 2021: 406-414 - [c10]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: 1772-1778 - [c9]Weishi Shi, Dayou Yu, Qi Yu:
A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning. NeurIPS 2021: 27542-27554 - [i2]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 abs/2111.08625 (2021) - 2020
- [j3]Moayad Alshangiti, Weishi Shi, Xumin Liu, Qi Yu:
A Bayesian learning model for design-phase service mashup popularity prediction. Expert Syst. Appl. 149: 113231 (2020) - [c8]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: 49-60 - [c7]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: 250-251 - [c6]Weishi Shi, Xujiang Zhao, Feng Chen, Qi Yu:
Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning. NeurIPS 2020 - [i1]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 abs/2002.06445 (2020)
2010 – 2019
- 2019
- [j2]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): 34:1-34:22 (2019) - [c5]Weishi Shi, Qi Yu:
Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning. ICML 2019: 5769-5778 - [c4]Weishi Shi, Qi Yu:
Integrating Bayesian and Discriminative Sparse Kernel Machines for Multi-class Active Learning. NeurIPS 2019: 2282-2291 - 2018
- [c3]Weishi Shi, Qi Yu:
An Efficient Many-Class Active Learning Framework for Knowledge-Rich Domains. ICDM 2018: 1230-1235 - [c2]Nse Obot, Laura OrMalley, Ifeoma Nwogu, Qi Yu, Weishi Shi, Xuan Guo:
From Novice to Expert Narratives of Dermatological Disease. PerCom Workshops 2018: 131-136 - 2017
- [j1]Xumin Liu, Weishi Shi, Arpeet Kale, Chen Ding, Qi Yu:
Statistical Learning of Domain-Specific Quality-of-Service Features from User Reviews. ACM Trans. Internet Techn. 17(2): 22:1-22:24 (2017) - [c1]Weishi Shi, Xumin Liu, Qi Yu:
Correlation-Aware Multi-Label Active Learning for Web Service Tag Recommendation. ICWS 2017: 229-236
Coauthor Index
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