18 citations · 37 across the 5 of their papers we have counts for
7 papers
Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model
Liang He, Shizhuo Zhang, Lijun Wu +10
Understanding protein sequences is vital and urgent for biology, healthcare, and medicine. Labeling approaches are expensive yet time-consuming, while the amount of unlabeled data…
Evaluating the Correctness of Explainable AI Algorithms for Classification
Orcun Yalcin, Xiuyi Fan, Siyuan Liu
Explainable AI has attracted much research attention in recent years with feature attribution algorithms, which compute "feature importance" in predictions, becoming increasingly p…
Towards Enhancing Database Education: Natural Language Generation Meets Query Execution Plans
Weiguo Wang, Sourav S Bhowmick, Hui Li +3
The database systems course is offered as part of an undergraduate computer science degree program in many major universities. A key learning goal of learners taking such a course…
An Investigation of COVID-19 Spreading Factors with Explainable AI Techniques
Xiuyi Fan, Siyuan Liu, Jiarong Chen +1
Since COVID-19 was first identified in December 2019, various public health interventions have been implemented across the world. As different measures are implemented at different…
Explainable AI for Classification using Probabilistic Logic Inference
Xiuyi Fan, Siyuan Liu, Thomas C. Henderson
The overarching goal of Explainable AI is to develop systems that not only exhibit intelligent behaviours, but also are able to explain their rationale and reveal insights. In expl…
Computer Vision and Metrics Learning for Hypothesis Testing: An Application of Q-Q Plot for Normality Test
Ke-Wei Huang, Mengke Qiao, Xuanqi Liu +2
This paper proposes a new deep-learning method to construct test statistics by computer vision and metrics learning. The application highlighted in this paper is applying computer…