| Variational quantum circuits for deep reinforcement learning SYC Chen, CHH Yang, J Qi, PY Chen, X Ma, HS Goan IEEE Access, Xanadu Quantum AI Competition, Research Track 1st Prize, 8 …, 2020 | 126 | 2020 |
| Decentralizing feature extraction with quantum convolutional neural network for automatic speech recognition CHH Yang, J Qi, SYC Chen, PY Chen, SM Siniscalchi, X Ma, CH Lee IEEE International Conference on Acoustics, Speech and Signal Processing …, 2021 | 61 | 2021 |
| Device-robust acoustic scene classification based on two-stage categorization and data augmentation H Hu, CHH Yang, X Xia, X Bai, X Tang, Y Wang, S Niu, L Chai, J Li, H Zhu, ... Detection and Classification of Acoustic Scenes and Events (DCASE), Best …, 2020 | 50 | 2020 |
| Characterizing speech adversarial examples using self-attention u-net enhancement CH Yang, J Qi, PY Chen, X Ma, CH Lee IEEE International Conference on Acoustics, Speech and Signal Processing …, 2020 | 46 | 2020 |
| Y-net: Multi-scale feature aggregation network with wavelet structure similarity loss function for single image dehazing HH Yang, CHH Yang, YCJ Tsai IEEE International Conference on Acoustics, Speech and Signal Processing …, 2020 | 38 | 2020 |
| A microfluidic device integrating dual CMOS polysilicon nanowire sensors for on-chip whole blood processing and simultaneous detection of multiple analytes DH Kuan, IS Wang, JR Lin, CH Yang, CH Huang, YH Lin, CT Lin, ... Lab on a Chip 16 (16), 3105-3113, 2016 | 35 | 2016 |
| A two-stage approach to device-robust acoustic scene classification H Hu, CHH Yang, X Xia, X Bai, X Tang, Y Wang, S Niu, L Chai, J Li, H Zhu, ... IEEE International Conference on Acoustics, Speech and Signal Processing …, 2021 | 25 | 2021 |
| Enhanced adversarial strategically-timed attacks against deep reinforcement learning CHH Yang, J Qi, PY Chen, Y Ouyang, ITD Hung, CH Lee, X Ma IEEE International Conference on Acoustics, Speech and Signal Processing …, 2020 | 24 | 2020 |
| Voice2series: Reprogramming acoustic models for time series classification CHH Yang, YY Tsai, PY Chen International Conference on Machine Learning (ICML), 11808-11819, 2021 | 23 | 2021 |
| Deepopht: medical report generation for retinal images via deep models and visual explanation JH Huang, CHH Yang, F Liu, M Tian, YC Liu, TW Wu, I Lin, K Wang, ... Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 20 | 2021 |
| A novel hybrid machine learning model for auto-classification of retinal diseases CHH Yang, JH Huang, F Liu, FY Chiu, M Gao, W Lyu, J Tegner Workshop on Computational Biology, ICML 2018, 2018 | 20 | 2018 |
| When causal intervention meets adversarial examples and image masking for deep neural networks CHH Yang, YC Liu, PY Chen, X Ma, YCJ Tsai 2019 IEEE International Conference on Image Processing (ICIP), 3811-3815, 2019 | 18* | 2019 |
| Wavelet channel attention module with a fusion network for single image deraining HH Yang, CHH Yang, YCF Wang 2020 IEEE International Conference on Image Processing (ICIP), 883-887, 2020 | 17 | 2020 |
| Tensor-to-vector regression for multi-channel speech enhancement based on tensor-train network J Qi, H Hu, Y Wang, CHH Yang, SM Siniscalchi, CH Lee IEEE International Conference on Acoustics, Speech and Signal Processing …, 2020 | 17* | 2020 |
| Robustness analysis of visual qa models by basic questions JH Huang, CD Dao, M Alfadly, CH Yang, B Ghanem VQA Challenge and Visual Dialog Workshop, CVPR 2018, 2017 | 16 | 2017 |
| Interpretable self-attention temporal reasoning for driving behavior understanding YC Liu, YA Hsieh, MH Chen, CHH Yang, J Tegner, YCJ Tsai IEEE International Conference on Acoustics, Speech and Signal Processing …, 2020 | 15 | 2020 |
| Synthesizing new retinal symptom images by multiple generative models YC Liu, HH Yang, CH Huck Yang, JH Huang, M Tian, H Morikawa, ... Asian Conference on Computer Vision, 235-250, 2018 | 15 | 2018 |
| Pate-aae: Incorporating adversarial autoencoder into private aggregation of teacher ensembles for spoken command classification CHH Yang, SM Siniscalchi, CH Lee Interspeech 2021, 2021 | 14 | 2021 |
| Qtn-vqc: An end-to-end learning framework for quantum neural networks J Qi, CHH Yang, PY Chen NeurIPS 2021 Workshop on Quantum Tensor Networks in Machine Learning, 2021 | 13 | 2021 |
| Exploring deep hybrid tensor-to-vector network architectures for regression based speech enhancement J Qi, H Hu, Y Wang, CHH Yang, SM Siniscalchi, CH Lee Interspeech 2020, 2020 | 13 | 2020 |
Pin-Yu ChenPrincipal Research Scientist, IBM Research AI; MIT-IBM Watson AI Lab; RPI-IBM AIRCVerified email at ibm.com
