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Section: Events
Date: 29-31 October 2025
Location: Coimbra, Portugal
Section: Events
Date: 13-16 September 2027
Location: Uppsala, Sweden
Section: Our Story
University of Minnesota
Minneapolis, MN, USA
Section: Publications & Resources
These members have demonstrated outstanding professional performance, exhibited professional maturity through long-term experience, and established themselves as leaders in their respective IEEE-designated fields of interest.
Section: Publications & Resources
The Signal Processing Society (SPS) has 12 Technical Committees that support a broad selection of signal processing-related activities defined by the scope of the Society.
Section: Publications & Resources
The Signal Processing Society (SPS) has 12 Technical Committees that support a broad selection of signal processing-related activities defined by the scope of the Society.
Section: Publications & Resources
The Signal Processing Society (SPS) has 12 Technical Committees that support a broad selection of signal processing-related activities defined by the scope of the Society.
Section: Publications & Resources
Conventional fine-tuning encounters increasing difficulties given the size of current Pre-trained Language Models, which makes parameter-efficient tuning become the focal point of frontier research. Recent advances in this field is the unified tuning methods that aim to tune the representations of both multi-head attention (MHA) and fully connected feed-forward network (FFN) simultaneously, but they rely on existing tuning methods and do not explicitly model domain knowledge for downstream tasks.
Section: Publications & Resources
Audio and visual signals complement each other in human speech perception, and the same applies to automatic speech recognition. The visual signal is less evident than the acoustic signal, but more robust in a complex acoustic environment, as far as speech perception is concerned.
Section: Publications & Resources
Most current models for analyzing multimodal sequences often disregard the imbalanced contributions of individual modal representations caused by varying information densities, as well as the inherent multi-relational interactions across distinct modalities. Consequently, a biased understanding of the intricate interplay among modalities may be fostered, limiting prediction accuracy and effectiveness.
