A5085963553- Cloud Computing and Resource Management
- Distributed and Parallel Computing Systems
- Parallel Computing and Optimization Techniques
- Advanced Data Storage Technologies
- Software System Performance and Reliability
- IoT and Edge/Fog Computing
- Advanced Neural Network Applications
- Scientific Computing and Data Management
- Distributed systems and fault tolerance
- Machine Learning in Healthcare
- Service-Oriented Architecture and Web Services
- Graph Theory and Algorithms
- Artificial Intelligence in Healthcare
- Advanced Database Systems and Queries
- Artificial Intelligence in Healthcare and Education
- Network Security and Intrusion Detection
- Machine Learning and Data Classification
- Machine Learning in Materials Science
- Caching and Content Delivery
- Software-Defined Networks and 5G
- Tea Polyphenols and Effects
- Anomaly Detection Techniques and Applications
- Context-Aware Activity Recognition Systems
- Explainable Artificial Intelligence (XAI)
- Topic Modeling
Jiaxing University
2025
University of Chinese Academy of Sciences
2016-2024
Institute of Computing Technology
2015-2024
Chinese Academy of Sciences
2015-2024
Benchmark Research (United States)
2019-2024
Huanggang Normal University
2006-2023
WuXi AppTec (China)
2021
Institute of Software
2018-2021
Center of Hubei Cooperative Innovation for Emissions Trading System
2021
Third Affiliated Hospital of Guangzhou Medical University
2020
As architecture, systems, and data management communities pay greater attention to innovative big systems architectures, the pressure of benchmarking evaluating these rises. Considering broad use benchmarks must include diversity workloads. Most state-of-the-art efforts target specific types applications or system software stacks, hence they are not qualified for serving purposes mentioned above. This paper presents our joint research on this issue with several industrial partners. Our...
In tandem mass spectrometry (MS/MS)-based proteomics, search engines rely on comparison between an experimental MS/MS spectrum and the theoretical spectra of candidate peptides. Hence, accurate prediction peptides appears to be particularly important. Here, we present pDeep, a deep neural network-based model for Using bidirectional long short-term memory (BiLSTM), pDeep can predict higher-energy collisional dissociation, electron-transfer collision dissociation with >0.9 median Pearson...
The basic idea behind cloud computing is that resource providers offer elastic resources to end users. In this paper, we intend answer one key question the success of computing: in cloud, can small-to-medium scale scientific communities benefit from economies scale? Our research contributions are threefold: first, propose an innovative public usage model for utilize on a site while maintaining their flexible system controls, i.e., create, activate, suspend, resume, deactivate, and destroy...
As the amount of data explodes rapidly, more and corporations are using centers to make effective decisions gain a competitive edge. Data analysis applications play significant role in centers, hence it has became increasingly important understand their behaviors order further improve performance center computer systems. In this paper, after investigating three most application domains terms page views daily visitors, we choose eleven representative workloads characterize micro-architectural...
In the past decade, tandem mass spectrometry (MS/MS)-based bottom-up proteomics has become method of choice for analyzing post-translational modifications (PTMs) in complex mixtures. The key to identification PTM-containing peptides and localization PTM-modified residues is measure similarities between theoretical spectra experimental ones. An accurate prediction MS/MS modified will improve similarity measurement. Here, we proposed deep-learning-based pDeep2 model PTMs. We used transfer...
Myriad evidence attests to the health-promoting benefits of tea drinking. While there are multiple factors influencing effective biological properties, polyphenols most significant and valuable components. The chemical characterization physical characteristics have been comprehensively studied over previous years. Still emergence new chemistry in tea, particularly property scavenging reactive carbonyl species (RCS) newly discovered flavoalkaloid compounds, has drawn increasing attention. In...
This paper presents a set of innovative algorithms and system, named Log Master, for mining correlations events that have multiple attributions, i.e., node ID, application event type, severity, in logs large-scale cloud HPC systems. Different from traditional transactional data, e.g., supermarket purchases, system their unique characteristics, hence we propose several approaches to correlations. We parse into an n-ary sequence where each is identified by informative nine-tuple. enhanced...
Big data benchmark suites must include a diversity of and workloads to be useful in fairly evaluating big systems architectures. However, using truly comprehensive benchmarks poses great challenges for the architecture community. First, we need thoroughly understand behaviors variety workloads. Second, our usual simulation-based research methods become prohibitively expensive data. As is an emerging field, more software stacks are being proposed facilitate development applications, which...
Sparse Matrix-vector Multiplication (SpMV) is an important computation kernel widely used in HPC and data centers. The irregularity of SpMV a well-known challenge that limits SpMV's parallelism with vectorization operations. Existing work achieves limited locality efficiency large preprocessing overheads. To address this issue, we present the Compressed Vectorization-oriented sparse Row (CVR), novel representation targeting efficient vectorization. CVR simultaneously processes multiple rows...
Oolong tea, partially fermented from Camellia sinensis leaves, exhibits significant antioxidative, anti-inflammatory, and anti-cancer activities as indicated in several vitro vivo studies. However, studies on health promoting effects of oolong tea its characteristic compounds are limited. The potential efficacy bioactives derived their roles promising anticancer agents, cardio-protective benefits during hypoxic conditions, treating allergic disorders, prebiotic activities, improvement blood...
Recent cost analysis shows that the server still dominates total of high-scale data centers or cloud systems. In this paper, we argue for a new twist on classical resource provisioning problem: heterogeneous workloads are fact life in large-scale centers, and current solutions do not act upon heterogeneity. Our contributions threefold: first, propose cooperative solution, take advantage differences so as to decrease their peak resources consumption under competitive conditions; second, four...
Tea polysaccharides (TPSs), one of the major bioactive ingredients in tea, have been widely studied due to their variety biological activities, including antioxidant, cancer prevention, hypoglycemia, anti-fatigue, anti-coagulant, anti-obesity and immunomodulatory effect. The effectiveness TPSs has direct relation with structures such as monosaccharide composition, molecular weight, glycosidic linkages, conformation others, which can be influenced by tea materials, processing methods,...
This paper presents our joint research efforts on big data benchmarking with several industrial partners. Considering the complexity, diversity, workload churns, and rapid evolution of systems, we take an incremental approach in benchmarking. For first step, pay attention to search engines, which are most important domain Internet services terms number page views daily visitors. However, engine service providers treat data, applications, web access logs as business confidentiality, prevents...
Analytics based on big data computing can benefit today's banking and financial organizations many aspects, provide much valuable information for to achieve more intelligent trading, which help them gain a great competitive advantage. However, the large scale of critical latency analytics requirement in finance poses challenge current system architecture. In this paper, we first analyze challenges brought by computing, then propose discussion how handle these from perspective multi-level...