We have a new paper “A neural speech decoding framework leveraging deep learning and speech synthesis” online in Nature Machine Intelligence! Also, check out the codes here The work is jointly supervised by Prof. Yao Wang and Prof. Adeen Flinker. It is supported by the National Science Foundation under Grant No. IIS-1912286, 2309057 (Y.W., A.F.) […]
New Paper about Interactive 360 degree Video Streaming came out
Our paper Interactive 360 degree Video Streaming Using FoV-Adaptive Coding with Temporal Prediction came out!
New Paper about Multi-Subject Neural Speech Decoding came out
Our new paper Subject-Agnostic Transformer-Based Neural Speech Decoding from Surface and Depth Electrode Signals proposes a solution to leveraging multi-subject and irregular structure electrodes for Neural Speech Decoding.
New Press Report about Our Works!
We have a new press report about our project “Object-Centric, View-Adaptive and Progressive Coding and Streaming of Point Cloud Video” (jointly with Prof. Yong Liu and Prof. Luke DuBois) We also have a press release about our work “Distributed feedforward and feedback cortical processing supports human speech production“ (jointly with Prof. Adeen Flinker) (paper link)
New Paper about Neural Speech Decoding was published in PNAS
Our paper “Distributed feedforward and feedback cortical processing supports human speech production“ was published in PNAS (paper link). The press release about our work can be found here. A demo of the results can be found here
New NSF award received!
We have received an NSF award (jointly with Prof. Adeen Flinker of NYU School of Medicine) from the NSF Collaborative Research on Computational Neural Science program. The project title is “Novel computational approaches for neural speech prostheses and causal dynamics of language processing”. Funding period: Oct. 2023 – Sept. 2026.
New NSF award received!
We have received an NSF award (jointly with Prof. Yong Liu and Prof. Luke DuBois) on “Object-Centric, View-Adaptive and Progressive Coding and Streaming of Point Cloud Video”. Funding period: Oct. 2023 – Aug. 2026.
Keynote talk by Prof. Yao Wang at IEEE Workshop on Coding for Machines
Professor Wang gave a keynote presentation on Learnt compression for visual analytics on the edge at the IEEE Workshop on Coding for Machines, in conjunction with ICME 2023.