Fei Wu

ORCID: 0009-0003-9565-5420
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About
Contact & Profiles
Research Areas
  • Speech Recognition and Synthesis
  • Environmental remediation with nanomaterials
  • Chromium effects and bioremediation
  • Wastewater Treatment and Nitrogen Removal
  • Microbial Fuel Cells and Bioremediation
  • Speech and Audio Processing
  • Advanced Data Compression Techniques
  • Image and Video Quality Assessment
  • Privacy-Preserving Technologies in Data
  • Peer-to-Peer Network Technologies
  • Distributed systems and fault tolerance
  • Membrane Separation Technologies
  • Coal and Its By-products
  • Business Strategy and Innovation
  • Opportunistic and Delay-Tolerant Networks
  • Network Traffic and Congestion Control
  • 3D Printing in Biomedical Research
  • Advanced Optical Network Technologies
  • Selenium in Biological Systems
  • Fire Detection and Safety Systems
  • Phonetics and Phonology Research
  • Anaerobic Digestion and Biogas Production
  • Video Surveillance and Tracking Methods
  • Expert finding and Q&A systems
  • Adsorption and biosorption for pollutant removal

Shenzhen University
2024

Institute of Applied Physics and Computational Mathematics
2024

Institute of Geochemistry
2024

Chinese Academy of Sciences
2024

Advanced Technologies Group (United States)
2002

University of Illinois Chicago
1997

The rise of mobile devices equipped with numerous sensors, such as LiDAR and cameras, has spurred the adoption multi-modal deep intelligence for distributed sensing tasks, smart cabins driving assistance. However, arrival times sensory data vary due to modality size network dynamics, which can lead delays (if waiting slower data) or accuracy decline inference proceeds without waiting). Moreover, diversity dynamic nature systems exacerbate this challenge. In response, we present a shift...

10.48550/arxiv.2410.24028 preprint EN arXiv (Cornell University) 2024-10-31

Roll out of voice recognition-based interfaces in telephony applications continues to grow as the implementation and deployment speech processing technologies become more feasible robust. One particular recognition application that was trialed by US WEST a activated network control (VANC) service based on speaker-independent continuous-speech (SIR) technology. The VANC allowed users custom calling services (CCS) local area signaling (CLASS) type features with commands lieu DTMF (dual tone...

10.1109/ivtta.1996.552790 article EN 2002-12-23

To efficiently utilize resources in broadband networks, we propose a control method for balancing work- and buffer- conserving service disciplines that is based on the use of prediction. Three key concepts are discussed this study. First, it noted feedback with predictor can minimize buffer backlog. Second, proven dynamic balance, globally optimal bandwidth assignments all virtual circuits be determined by minimizing an appropriate cost function. Lastly, via trace- driven simulation, shown...

10.1117/12.290423 article EN Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 1997-10-10
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