Guo, Jiadong Peng, Jingshu Yuan, Hang Ni, Lionel Ming-shuan
Published in
Journal of Computer Science and Technology
A tremendous amount of data has been generated by global financial markets everyday, and such time-series data needs to be analyzed in real time to explore its potential value. In recent years, we have witnessed the successful adoption of machine learning models on financial data, where the importance of accuracy and timeliness demands highly effec...
Huang, Jia-Ling Wang, Yun-Shu Zou, Yong-Pan Wu, Kai-Shun Ni, Lionel Ming-shuan
Published in
Journal of Computer Science and Technology
With the increasing pervasiveness of mobile devices such as smartphones, smart TVs, and wearables, smart sensing, transforming the physical world into digital information based on various sensing medias, has drawn researchers’ great attention. Among different sensing medias, WiFi and acoustic signals stand out due to their ubiquity and zero hardwar...
Shao, Ming-Min Jiang, Wen-Jun Wu, Jie Shi, Yu-Qing Yum, TakShing Zhang, Ji
Published in
Journal of computer science and technology
Friend recommendation plays a key role in promoting user experience in online social networks (OSNs). However, existing studies usually neglect users' fine-grained interest as well as the evolving feature of interest, which may cause unsuitable recommendation. In particular, some OSNs, such as the online learning community, even have little work on...
Zhu, Jian-Fu Hao, Zhong-Kai Liu, Qi Yin, Yu Lu, Cheng-Qiang Huang, Zhen-Ya Chen, En-Hong
Published in
Journal of computer science and technology
Generating molecules with desired properties is an important task in chemistry and pharmacy. An efficient method may have a positive impact on finding drugs to treat diseases like COVID-19. Data mining and artificial intelligence may be good ways to find an efficient method. Recently, both the generative models based on deep learning and the work b...
Li, Yuan Dai, Jie Fan, Xiao-Lin Zhao, Yu-Hai Wang, Guo-Ren
Published in
Journal of computer science and technology
Temporal networks are an effective way to encode temporal information into graph data losslessly. Finding the bursting cohesive subgraph (BCS), which accumulates its cohesiveness at the fastest rate, is an important problem in temporal networks. The BCS has a large number of applications, such as representing emergency events in social media, traff...
Sun, She Ma, Shuai Song, Jing-He Yue, Wen-Hai Lin, Xue-Lian Ma, Tiejun
Published in
Journal of Computer Science and Technology
With the advancing of location-detection technologies and the increasing popularity of mobile phones and other location-aware devices, trajectory data is continuously growing. While large-scale trajectories provide opportunities for various applications, the locations in trajectories pose a threat to individual privacy. Recently, there has been an ...
Chen, Meng-Xin Zhu, Xiao-Dong Zhang, Hao Liu, Zhen Liu, Yuan-Ning
Published in
Journal of Computer Science and Technology
First discovered in Wuhan, China, SARS-CoV-2 is a highly pathogenic novel coronavirus, which rapidly spread globally and became a pandemic with no vaccine and limited distinctive clinical drugs available till March 13th, 2020. Ribonucleic Acid interference (RNAi) technology, a gene-silencing technology that targets mRNA, can cause damage to RNA vir...
Zhang, Xin Lu, Siyuan Wang, Shui-Hua Yu, Xiang Wang, Su-Jing Yao, Lun Pan, Yi Zhang, Yu-Dong
Published in
Journal of computer science and technology
COVID-19 is a contagious infection that has severe effects on the global economy and our daily life. Accurate diagnosis of COVID-19 is of importance for consultants, patients, and radiologists. In this study, we use the deep learning network AlexNet as the backbone, and enhance it with the following two aspects: 1) adding batch normalization to hel...
Zhu, Dan-Hao Dai, Xin-Yu Chen, Jia-Jun
Published in
Journal of Computer Science and Technology
Graph neural networks (GNNs) have shown great power in learning on graphs. However, it is still a challenge for GNNs to model information faraway from the source node. The ability to preserve global information can enhance graph representation and hence improve classification precision. In the paper, we propose a new learning framework named G-GNN ...
Shi, Wen-Jun Cao, Qin-Xiang Deng, Yu-Xin Jiang, Han-Ru Feng, Yuan
Published in
Journal of Computer Science and Technology
A quantum circuit is a computational unit that transforms an input quantum state to an output state. A natural way to reason about its behavior is to compute explicitly the unitary matrix implemented by it. However, when the number of qubits increases, the matrix dimension grows exponentially and the computation becomes intractable. In this paper, ...
