Research output per year
Research output per year
Personal profile
Education/Academic qualification
Bachelor of Engineering (Electrical Engineering), National University of Singapore
Doctor of Philosophy, National University of Singapore
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Dive into the research topics where Jibin Wu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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EEG-based Auditory Attention Detection with Spiking Graph Convolutional Network
Wu, J., 12 Mar 2024, In: IEEE Transactions on Cognitive and Developmental Systems. 16, 5, p. 1698-1706 9 p.Research output: Journal article publication › Journal article › Academic research › peer-review
Open Access11 Citations (Scopus) -
Efficient Online Learning for Networks of Two-Compartment Spiking Neurons
Yin, Y., Chen, X., Ma, C., Wu, J. & Tan, K. C., Mar 2024, The International Joint Conference on Neural Networks (IJCNN). p. 1-9Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review
Open Access -
Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation
Wu, X., Zhong, Y., Wu, J., Jiang, B. & Tan, K. C., Aug 2024, Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024. Larson, K. (ed.). p. 5235-5244 10 p. (IJCAI International Joint Conference on Artificial Intelligence).Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review
Open Access3 Citations (Scopus) -
Scaling Supervised Local Learning with Augmented Auxiliary Networks
Ma, C., Wu, J., Si, C. & Tan, K. C., May 2024, International Conference on Learning Representations. p. 1-18Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review
Open Access -
Spiking-LEAF: A Learnable Auditory front-end for Spiking Neural Networks
Song, Z., Wu, J., Zhang, M., Shou, Z. M. & Li, H., Apr 2024, ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). p. 1-5Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review
Open Access
Prizes
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Winner, Intel Neuromorphic Deep Noise Suppression Challenge Track 1 (Algorithmic)
Wu, J. (Recipient), Hao, X. (Recipient), Ma, C. (Recipient) & Yang, Q. (Recipient), 2 Oct 2023
Prize: Prize (research)