27 citations · 56 across the 11 of their papers we have counts for
11 papers
Structural Diversity Drives Disruptive Scientific Innovation
Yichun Peng, Saike He, Peijie Zhang +6
Scientific innovation increasingly depends on collaboration, yet the organizational structure that fosters breakthrough ideas remains poorly understood. Existing metrics - such as…
Predicting the Risk of Ischemic Stroke in Patients with Atrial Fibrillation using Heterogeneous Drug-protein-disease Network-based Deep Learning
Zhiheng Lyu, Jiannan Yang, Zhongzhi Xu +5
We develop a deep learning model, ABioSPATH, to predict the one-year risk of ischemic stroke (IS) in atrial fibrillation (AF) patients. The model integrates drug-protein-disease pa…
Viewpoint-Invariant Exercise Repetition Counting
Yu Cheng Hsu, Qingpeng Zhang, Efstratios Tsougenis +1
Counting the repetition of human exercise and physical rehabilitation is a common task in rehabilitation and exercise training. The existing vision-based repetition counting method…
Complicating the Social Networks for Better Storytelling: An Empirical Study of Chinese Historical Text and Novel
Chenhan Zhang
Digital humanities is an important subject because it enables developments in history, literature, and films. In this paper, we perform an empirical study of a Chinese historical t…
An interpretable neural network model through piecewise linear approximation
Mengzhuo Guo, Qingpeng Zhang, Xiuwu Liao +1
Most existing interpretable methods explain a black-box model in a post-hoc manner, which uses simpler models or data analysis techniques to interpret the predictions after the mod…
Knowledge-Enhanced Attentive Learning for Answer Selection in Community Question Answering Systems
Fengshi Jing, Qingpeng Zhang
In the community question answering (CQA) system, the answer selection task aims to identify the best answer for a specific question, and thus is playing a key role in enhancing th…
Explainable Ordinal Factorization Model: Deciphering the Effects of Attributes by Piece-wise Linear Approximation
Mengzhuo Guo, Zhongzhi Xu, Qingpeng Zhang +2
Ordinal regression predicts the objects' labels that exhibit a natural ordering, which is important to many managerial problems such as credit scoring and clinical diagnosis. In th…
Research Leadership Flow Determinants and the Role of Proximity in Research Collaborations Networks
He Chaocheng, Wu Jiang, Zhang Qingpeng
Characterizing the leadership in research is important to revealing the interaction pattern and organizational structure through research collaboration. This research defines the l…
A hybrid machine learning framework for analyzing human decision making through learning preferences
Mengzhuo Guo, Qingpeng Zhang, Xiuwu Liao +2
Machine learning has recently been widely adopted to address the managerial decision making problems, in which the decision maker needs to be able to interpret the contributions of…
Unsupervised Euclidean Distance Attack on Network Embedding
Shanqing Yu, Jun Zheng, Jinhuan Wang +6
Considering the wide application of network embedding methods in graph data mining, inspired by the adversarial attack in deep learning, this paper proposes a Genetic Algorithm (GA…
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction
Jinyin Chen, Jian Zhang, Xuanheng Xu +4
Predicting the potential relations between nodes in networks, known as link prediction, has long been a challenge in network science. However, most studies just focused on link pre…