Weishi Shi

According to our database, Weishi Shi authored at least 32 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Metric-Normalized Posterior Leakage (mPL): Attacker-Aligned Privacy for Joint Consumption.

Gaoyi Chen, Minghao Li, Weishi Shi, Yan Huang, Yusheng Wei, Sourabh Yadav, Chenxi Qiu

CoRR, May, 2026

OLR-WAA: Adaptive and Drift-Resilient Online Regression with Dynamic Weighted Averaging.

Mohammad Abu-Shaira, Weishi Shi

Data Sci. Eng., March, 2026

Towards Visual Query Segmentation in the Wild.

Bing Fan, Minghao Li, Hanzhi Zhang, Shaohua Dong, Naga Prudhvi Mareedu, Weishi Shi, Yunhe Feng, Yan Huang, Heng Fan

CoRR, March, 2026

OLC-WA: Drift aware tuning-free online classification with weighted average.

Mohammad Abu-Shaira, Yunhe Feng, Heng Fan, Weishi Shi

Expert Syst. Appl., 2026

Online Domain-Aware LLM Decoding for Continual Domain Evolution.

Mohammad Abu-Shaira, Weishi Shi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2026

2025

Diagnosing Shortcut-Induced Rigidity in Continual Learning: The Einstellung Rigidity Index (ERI).

Kai Gu, Weishi Shi

CoRR, October, 2025

Deep Active Re-Labeling: Toward Noise-Resilient Annotation Efficiency.

Md. Abdullah Al Forhad, Weishi Shi

Proceedings of the IEEE International Conference on Big Data, 2025

DAO-GP Drift Aware Online Non-Linear Regression Gaussian-Process.

Mohammad Abu-Shaira, Ajita Rattani, Weishi Shi

Proceedings of the IEEE International Conference on Big Data, 2025

2024

ALL: Supporting Experiential Accessibility Education and Inclusive Software Development.

Weishi Shi, Heather Moses, Qi Yu, Samuel A. Malachowsky, Daniel E. Krutz

ACM Trans. Softw. Eng. Methodol., February, 2024

Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity.

Dayou Yu, Minghao Li, Weishi Shi, Qi Yu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Macro-AUC-Driven Active Learning Strategy for Multi-Label Classification Enhancement.

Minghao Li, Junjie Qiu, Weishi Shi

Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024

Balancing Explanations and Adaptation in Offline Continual Learning Systems Using Active Augmented Reply.

Md. Abdullah Al Forhad, Weishi Shi

Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024

Unveiling Statistical Significance of Online Regression Over Multiple Datasets.

Mohammad Abu-Shaira, Weishi Shi

Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024

Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation.

Riyad Bin Rafiq, Weishi Shi, Mark V. Albert

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice.

Dayou Yu, Weishi Shi, Qi Yu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning.

Dayou Yu, Weishi Shi, Qi Yu

Proceedings of the International Conference on Machine Learning, 2023

STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations.

Dayou Yu, Weishi Shi, Qi Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Hierarchical Bayesian multi-kernel learning for integrated classification and summarization of app reviews.

Moayad Alshangiti, Weishi Shi, Eduardo Lima, Xumin Liu, Qi Yu

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

2021

A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning.

Weishi Shi, Dayou Yu, Qi Yu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data.

Yuansheng Zhu, Weishi Shi, Deep Shankar Pandey, Yang Liu, Xiaofan Que, Daniel E. Krutz, Qi Yu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Active Learning with Maximum Margin Sparse Gaussian Processes.

Weishi Shi, Qi Yu

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

A Bayesian learning model for design-phase service mashup popularity prediction.

Moayad Alshangiti, Weishi Shi, Xumin Liu, Qi Yu

Expert Syst. Appl., 2020

Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning.

Weishi Shi, Xujiang Zhao, Feng Chen, Qi Yu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Experiential learning in computing accessibility education.

Weishi Shi, Saad Khan, Yasmine N. El-Glaly, Samuel A. Malachowsky, Qi Yu, Daniel E. Krutz

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

Presenting and evaluating the impact of experiential learning in computing accessibility education.

Yasmine N. El-Glaly, Weishi Shi, Samuel A. Malachowsky, Qi Yu, Daniel E. Krutz

Proceedings of the ICSE-SEET 2020: 42nd International Conference on Software Engineering, Software Engineering Education and Training, Seoul, South Korea, 27 June, 2020

2019

Integrating Multi-level Tag Recommendation with External Knowledge Bases for Automatic Question Answering.

Eduardo Lima, Weishi Shi, Xumin Liu, Qi Yu

ACM Trans. Internet Techn., 2019

Integrating Bayesian and Discriminative Sparse Kernel Machines for Multi-class Active Learning.

Weishi Shi, Qi Yu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning.

Weishi Shi, Qi Yu

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

From Novice to Expert Narratives of Dermatological Disease.

Nse Obot, Laura OrMalley, Ifeoma Nwogu, Qi Yu, Weishi Shi, Xuan Guo

Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

An Efficient Many-Class Active Learning Framework for Knowledge-Rich Domains.

Weishi Shi, Qi Yu

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Statistical Learning of Domain-Specific Quality-of-Service Features from User Reviews.

Xumin Liu, Weishi Shi, Arpeet Kale, Chen Ding, Qi Yu

ACM Trans. Internet Techn., 2017

Correlation-Aware Multi-Label Active Learning for Web Service Tag Recommendation.

Weishi Shi, Xumin Liu, Qi Yu

Proceedings of the 2017 IEEE International Conference on Web Services, 2017