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Pohan Chi
Pohan Chi
Otros nombresPo-Han Chi
National Taiwan University
Dirección de correo verificada de ntu.edu.tw
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Año
Superb: Speech processing universal performance benchmark
S Yang, PH Chi, YS Chuang, CIJ Lai, K Lakhotia, YY Lin, AT Liu, J Shi, ...
arXiv preprint arXiv:2105.01051, 2021
9602021
Mockingjay: Unsupervised speech representation learning with deep bidirectional transformer encoders
AT Liu, S Yang, PH Chi, P Hsu, H Lee
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
4592020
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ...
Genome biology 20, 1-23, 2019
4282019
Audio albert: A lite bert for self-supervised learning of audio representation
PH Chi, PH Chung, TH Wu, CC Hsieh, YH Chen, SW Li, H Lee
2021 IEEE Spoken Language Technology Workshop (SLT), 344-350, 2021
1912021
A Large-Scale Evaluation of Speech Foundation Models
S Yang, HJ Chang, Z Huang, AT Liu, CI Lai, H Wu, J Shi, X Chang, ...
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024
162024
Speechnet: A universal modularized model for speech processing tasks
YC Chen, PH Chi, S Yang, KW Chang, J Lin, SF Huang, DR Liu, CL Liu, ...
arXiv preprint arXiv:2105.03070, 2021
152021
Further Boosting Bert-Based Models by Duplicating Existing Layers: Some Intriguin g Phenomena inside Bert
WT Kao, TH Wu, PH Chi, CC Hsieh, HY Lee
arXiv preprint arXiv:2001.09309, 2020
10*2020
Few-shot prompting towards controllable response generation
H Su, P Chi, SC Huang, CH Lam, S Sahay, ST Chen, H yi Lee
CoRR, 2022
22022
Leveraging Sequence Embedding and Convolutional Neural Network for Protein Function Prediction
WC Tseng, PH Chi, JH Wu, M Sun
arXiv preprint arXiv:2112.00344, 2021
2021
Input-independent Attention Weights Are Expressive Enough: A Study of Attention in Self-supervised Audio Transformers
TH Wu, CC Hsieh, YH Chen, PH Chi, H Lee
arXiv preprint arXiv:2006.05174, 2020
2020
MOESM2 of The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
N Zhou, Y Jiang, T Bergquist, A Lee, B Kacsoh, A Crocker, K Lewis, ...
(No Title), 2019
2019
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