47 citations · 104 across the 10 of their papers we have counts for
10 papers
Towards Generating Hop-constrained s-t Simple Path Graphs
Yuzheng Cai, Siyuan Liu, Weiguo Zheng +1
Graphs have been widely used in real-world applications, in which investigating relations between vertices is an important task. In this paper, we study the problem of generating t…
Author Name Disambiguation via Heterogeneous Network Embedding from Structural and Semantic Perspectives
Wenjin Xie, Siyuan Liu, Xiaomeng Wang +1
Name ambiguity is common in academic digital libraries, such as multiple authors having the same name. This creates challenges for academic data management and analysis, thus name…
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…
CCGL: Contrastive Cascade Graph Learning
Xovee Xu, Fan Zhou, Kunpeng Zhang +1
Supervised learning, while prevalent for information cascade modeling, often requires abundant labeled data in training, and the trained model is not easy to generalize across task…
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…
NEURON: Query Optimization Meets Natural Language Processing For Augmenting Database Education
Siyuan Liu, Sourav S Bhowmick, Wanlu Zhang +3
Relational database management system (RDBMS) is a major undergraduate course taught in many universities worldwide as part of their computer science program. A core component of s…