World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
13601
World Ranking
5513
National Ranking
736

Overview

Dan Feng is affiliated with Huazhong University of Science and Technology in China. Their research contributions are primarily in the field of Computer Science, with a specific focus on several subfields including Computer Networks and Communications, Artificial Intelligence, Information Systems, Electrical and Electronic Engineering, and Hardware and Architecture.

The scientist's work covers a range of topics within these fields, with notable concentration in advanced technology areas. Key topics of their research include:

  • Advanced Data Storage Technologies
  • Caching and Content Delivery
  • Cloud Computing and Resource Management
  • Parallel Computing and Optimization Techniques
  • Advanced Memory and Neural Computing
  • Distributed Systems and Fault Tolerance
  • Advanced Graph Neural Networks

Dan Feng has published extensively, with a total of 278 publications in Computer Science. Their work appears frequently in specific venues such as:

  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (13 publications)
  • ACM Transactions on Architecture and Code Optimization (12 publications)
  • IEEE Transactions on Parallel and Distributed Systems (8 publications)
  • Journal of Systems Architecture (6 publications)
  • IEEE Transactions on Computers (5 publications)

Selected recent papers by Dan Feng demonstrate a focus on practical and theoretical aspects of cloud computing, storage, and data systems. These include:

  • "Real-Time Prediction of Docker Container Resource Load Based on a Hybrid Model of ARIMA and Triple Exponential Smoothing," 2020, IEEE Transactions on Cloud Computing
  • "The Design of Fast Content-Defined Chunking for Data Deduplication Based Storage Systems," 2020, IEEE Transactions on Parallel and Distributed Systems
  • "A critical review of characteristics of domestic wastewater and key treatment techniques in Chinese villages," 2024, The Science of The Total Environment
  • "Bandwidth-Aware Scheduling Repair Techniques in Erasure-Coded Clusters: Design and Analysis," 2022, IEEE Transactions on Parallel and Distributed Systems
  • "Paradise: Real-Time, Generalized, and Distributed Provenance-Based Intrusion Detection," 2022, IEEE Transactions on Dependable and Secure Computing

Their collaborative network includes frequent co-authors such as:

  • Fang Wang
  • Wei Tong
  • Yuchong Hu
  • Hong Jiang
  • Xueliang Wei

Best Publications

  • AOD-Net: All-in-One Dehazing Network

    Boyi Li;Xiulian Peng;Zhangyang Wang;Jizheng Xu

  • Benchmarking Single-Image Dehazing and Beyond

    Boyi Li;Wenqi Ren;Dengpan Fu;Dacheng Tao

  • Performance impact and interplay of SSD parallelism through advanced commands, allocation strategy and data granularity

    Yang Hu;Hong Jiang;Dan Feng;Lei Tian

  • CDRM: A Cost-Effective Dynamic Replication Management Scheme for Cloud Storage Cluster

    Qingsong Wei;Bharadwaj Veeravalli;Bozhao Gong;Lingfang Zeng

  • A Comprehensive Study of the Past, Present, and Future of Data Deduplication

    Wen Xia;Hong Jiang;Dan Feng;Fred Douglis

  • SiLo: a similarity-locality based near-exact deduplication scheme with low RAM overhead and high throughput

    Wen Xia;Hong Jiang;Dan Feng;Yu Hua

  • Transcriptional landscape of rice roots at the single-cell resolution

    Qing Liu;Zhe Liang;Dan Feng;Sanjie Jiang

  • Exploring and Exploiting the Multilevel Parallelism Inside SSDs for Improved Performance and Endurance

    Yang Hu;Hong Jiang;Dan Feng;Lei Tian

  • Improving Flash-Based Disk Cache with Lazy Adaptive Replacement

    Sai Huang;Qingsong Wei;Dan Feng;Jianxi Chen

  • An All-in-One Network for Dehazing and Beyond

    Boyi Li;Xiulian Peng;Zhangyang Wang;Jizheng Xu

  • PRO: a popularity-based multi-threaded reconstruction optimization for RAID-structured storage systems

    Lei Tian;Dan Feng;Hong Jiang;Ke Zhou

  • Ranking community answers by modeling question-answer relationships via analogical reasoning

    Xin-Jing Wang;Xudong Tu;Dan Feng;Lei Zhang

  • MAD2: A scalable high-throughput exact deduplication approach for network backup services

    Jiansheng Wei;Hong Jiang;Ke Zhou;Dan Feng

  • HPDA: A hybrid parity-based disk array for enhanced performance and reliability

    Bo Mao;Hong Jiang;Dan Feng;Suzhen Wu

  • P-Code: a new RAID-6 code with optimal properties

    Chao Jin;Hong Jiang;Dan Feng;Lei Tian

  • Design tradeoffs for data deduplication performance in backup workloads

    Min Fu;Dan Feng;Yu Hua;Xubin He

  • DEBAR: A scalable high-performance de-duplication storage system for backup and archiving

    Tianming Yang;Hong Jiang;Dan Feng;Zhongying Niu

  • WorkOut: I/O workload outsourcing for boosting RAID reconstruction performance

    Suzhen Wu;Hong Jiang;Dan Feng;Lei Tian

  • Accelerating restore and garbage collection in deduplication-based backup systems via exploiting historical information

    Min Fu;Dan Feng;Yu Hua;Xubin He

  • SAM: A Semantic-Aware Multi-tiered Source De-duplication Framework for Cloud Backup

    Yujuan Tan;Hong Jiang;Dan Feng;Lei Tian

  • Improving flash-based disk cache with Lazy Adaptive Replacement

    Sai Huang;Qingsong Wei;Jianxi Chen;Cheng Chen

Frequent Co-Authors

Hong Jiang
Hong Jiang The University of Texas at Arlington
Xue Liu
Xue Liu McGill University
Zhangyang Wang
Zhangyang Wang The University of Texas at Austin
Bharadwaj Veeravalli
Bharadwaj Veeravalli National University of Singapore
Laurence T. Yang
Laurence T. Yang St. Francis Xavier University
Patrick P. C. Lee
Patrick P. C. Lee Chinese University of Hong Kong
Xiao Qin
Xiao Qin Auburn University
Dacheng Tao
Dacheng Tao Nanyang Technological University
Bin Xiao
Bin Xiao Hong Kong Polytechnic University
Yang Zhang
Yang Zhang University of Michigan–Ann Arbor

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