| Differentiable learning-to-normalize via switchable normalization P Luo, J Ren, Z Peng, R Zhang, J Li International Conference on Learning Representations, 2018 | 250 | 2018 |
| Scan: Self-and-collaborative attention network for video person re-identification R Zhang, J Li, H Sun, Y Ge, P Luo, X Wang, L Lin IEEE Transactions on Image Processing 28 (10), 4870-4882, 2019 | 97 | 2019 |
| Switchable normalization for learning-to-normalize deep representation P Luo, R Zhang, J Ren, Z Peng, J Li IEEE transactions on pattern analysis and machine intelligence 43 (2), 712-728, 2019 | 84 | 2019 |
| SSN: Learning Sparse Switchable Normalization via SparsestMax W Shao, J Li, J Ren, R Zhang, X Wang, P Luo International Journal of Computer Vision, 1-19, 2019 | 71 | 2019 |
| Differentiable learning-to-group channels via groupable convolutional neural networks Z Zhang, J Li, W Shao, Z Peng, R Zhang, X Wang, P Luo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 42 | 2019 |
| Exploiting pre-trained ASR models for Alzheimer's disease recognition through spontaneous speech Y Qin, W Liu, Z Peng, SI Ng, J Li, H Hu, T Lee arXiv preprint arXiv:2110.01493, 2021 | 14 | 2021 |
| Text-Independent Speaker Verification with Dual Attention Network J Li, T Lee INTERSPEECH 2020, 956-960, 2020 | 13 | 2020 |
| EDITnet: A Lightweight Network for Unsupervised Domain Adaptation in Speaker Verification J Li, W Liu, T Lee INTERSPEECH 2022, 3694-3698, 2022 | 8 | 2022 |
| Convolution-based channel-frequency attention for text-independent speaker verification J Li, Y Tian, T Lee ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 7 | 2023 |
| Dynamic polarization-insensitive BOTDA in direct-detection OFDM with CNN-based BFS extraction D Qi, J Li, X Guan, CK Chan Optics Express 30 (5), 7725-7736, 2022 | 6 | 2022 |
| Detection of Consonant Errors in Disordered Speech Based on Consonant-vowel Segment Embedding SI Ng, CWY Ng, J Li, T Lee INTERSPEECH 2021, 2931-2935, 2021 | 4 | 2021 |
| Video classification via relational feature encoding networks Y Zhou, J Ren, J Li, L Feng, S Qiu, P Luo Proceedings of the Workshop on Large-Scale Video Classification Challenge, 9-13, 2017 | 4 | 2017 |
| Model Compression for DNN-based Speaker Verification Using Weight Quantization J Li, W Liu, Z Zhang, J Wang, T Lee INTERSPEECH 2023, 1988--1992, 2023 | 3 | 2023 |
| Learnable frequency filters for speech feature extraction in speaker verification J Li, Y Tian, T Lee arXiv preprint arXiv:2206.07563, 2022 | 3 | 2022 |
| Transport-Oriented Feature Aggregation for Speaker Embedding Learning Y Tian, J Li, T Lee INTERSPEECH 2022, 316-320, 2022 | 1 | 2022 |
| Creating Personalized Synthetic Voices from Articulation Impaired Speech Using Augmented Reconstruction Loss Y Tian, J Li, T Lee ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Efficient Black-Box Speaker Verification Model Adaptation With Reprogramming And Backend Learning J Li, T Lee ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| An Investigation on Applying Acoustic Feature Conversion to ASR of Adult and Child Speech W Liu, J Li, T Lee arXiv preprint arXiv:2205.12477, 2022 | | 2022 |
| Improving Text-Independent Speaker Verification with Auxiliary Speakers Using Graph J Li, SI Ng, T Lee 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021 | | 2021 |
Ping Luo (羅平)Associate Professor, The University of Hong KongVerified email at hku.hk
