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GAEBic: A Novel Biclustering Analysis Method for miRNA-Targeted Gene Data Based on Graph Autoencoder

期刊: JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2021; 36 (2)

Unlike traditional clustering analysis, the biclustering algorithm works simultaneously on two dimensions of samples (row) and variables (column). In ......

A Secure IoT Firmware Update Scheme Against SCPA and DoS Attacks

期刊: JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2021; 36 (2)

In the IEEE S&P 2017, Ronen et al. exploited side-channel power analysis (SCPA) and approximately 5 000 power traces to recover the global AES-CCM......

Inverse Markov Process Based Constrained Dynamic Graph Layout

期刊: JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2021; 36 (3)

In online dynamic graph drawing, constraints over nodes and node pairs help preserve a coherent mental map in a sequence of graphs. Defining the const......

Partial Label Learning via Conditional-Label-Aware Disambiguation

期刊: JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2021; 36 (3)

Partial label learning is a weakly supervised learning framework in which each instance is associated with multiple candidate labels, among which only......

Discovering API Directives from API Specifications with Text Classification

期刊: JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2021; 36 (4)

Application programming interface (API) libraries are extensively used by developers. To correctly program with APIs and avoid bugs, developers shall ......

WATuning: A Workload-Aware Tuning System with Attention-Based Deep Reinforcement Learning

期刊: JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2021; 36 (4)

Configuration tuning is essential to optimize the performance of systems (e.g., databases, key-value stores). High performance usually indicates high ......

Efficient Model Store and Reuse in an OLML Database System

期刊: JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2021; 36 (4)

Deep learning has shown significant improvements on various machine learning tasks by introducing a wide spectrum of neural network models. Yet, for t......

Impacts of Dirty Data on Classification and Clustering Models: An Experimental Evaluation

期刊: JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2021; 36 (4)

Data quality issues have attracted widespread attentions due to the negative impacts of dirty data on data mining and machine learning results. The re......

Predicting CircRNA-Disease Associations Based on Improved Weighted Biased Meta-Structure

期刊: JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2021; 36 (2)

Circular RNAs (circRNAs) are RNAs with a special closed loop structure, which play important roles in tumors and other diseases. Due to the time consu......

Multi-Feature Super-Resolution Network for Cloth Wrinkle Synthesis

期刊: JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2021; 36 (3)

Existing physical cloth simulators suffer from expensive computation and difficulties in tuning mechanical parameters to get desired wrinkling behavio......

COLIN: A Cache-Conscious Dynamic Learned Index with High Read/Write Performance

期刊: JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2021; 36 (4)

The recently proposed learned index has higher query performance and space efficiency than the conventional B+-tree. However, the original learned ind......

Method for Processing Graph Degeneracy in Dynamic Geometry Based on Domain Design

期刊: JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2021; 36 (4)

A dynamic geometry system, as an important application in the field of geometric constraint solving, is widely used in elementary mathematics educatio......

TransGPerf: Exploiting Transfer Learning for Modeling Distributed Graph Computation Performance

期刊: JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2021; 36 (4)

It is challenging to model the performance of distributed graph computation. Explicit formulation cannot easily capture the diversified factors and co......

Source-Free Unsupervised Domain Adaptation with Sample Transport Learning

期刊: JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2021; 36 (3)

Unsupervised domain adaptation (UDA) has achieved great success in handling cross-domain machine learning applications. It typically benefits the mode......

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