| A unified feature disentangler for multi-domain image translation and manipulation AH Liu, YC Liu, YY Yeh, YCF Wang Advances in neural information processing systems 31, 2018 | 482 | 2018 |
| Towards scene understanding: Unsupervised monocular depth estimation with semantic-aware representation PY Chen, AH Liu, YC Liu, YCF Wang Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2019 | 278 | 2019 |
| Listen, think, and understand Y Gong, H Luo, AH Liu, L Karlinsky, J Glass arXiv preprint arXiv:2305.10790, 2023 | 167 | 2023 |
| Contrastive audio-visual masked autoencoder Y Gong, A Rouditchenko, AH Liu, D Harwath, L Karlinsky, H Kuehne, ... arXiv preprint arXiv:2210.07839, 2022 | 149 | 2022 |
| Non-autoregressive predictive coding for learning speech representations from local dependencies AH Liu, YA Chung, J Glass arXiv preprint arXiv:2011.00406, 2020 | 104 | 2020 |
| Towards end-to-end unsupervised speech recognition AH Liu, WN Hsu, M Auli, A Baevski 2022 IEEE Spoken Language Technology Workshop (SLT), 221-228, 2023 | 84 | 2023 |
| Spoken moments: Learning joint audio-visual representations from video descriptions M Monfort, SY Jin, A Liu, D Harwath, R Feris, J Glass, A Oliva Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 80 | 2021 |
| Parp: Prune, adjust and re-prune for self-supervised speech recognition CIJ Lai, Y Zhang, AH Liu, S Chang, YL Liao, YS Chuang, K Qian, ... Advances in Neural Information Processing Systems 34, 21256-21272, 2021 | 79 | 2021 |
| Joint audio and speech understanding Y Gong, AH Liu, H Luo, L Karlinsky, J Glass 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023 | 73 | 2023 |
| Towards unsupervised speech recognition and synthesis with quantized speech representation learning AH Liu, T Tu, H Lee, L Lee ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 57 | 2020 |
| Adversarial training of end-to-end speech recognition using a criticizing language model AH Liu, H Lee, L Lee ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 57 | 2019 |
| Cross-modal discrete representation learning AH Liu, SY Jin, CIJ Lai, A Rouditchenko, A Oliva, J Glass arXiv preprint arXiv:2106.05438, 2021 | 47 | 2021 |
| Generative pre-training for speech with flow matching AH Liu, M Le, A Vyas, B Shi, A Tjandra, WN Hsu arXiv preprint arXiv:2310.16338, 2023 | 32 | 2023 |
| Towards audio language modeling--an overview H Wu, X Chen, YC Lin, K Chang, HL Chung, AH Liu, H Lee arXiv preprint arXiv:2402.13236, 2024 | 30 | 2024 |
| Uavm: Towards unifying audio and visual models Y Gong, AH Liu, A Rouditchenko, J Glass IEEE Signal Processing Letters 29, 2437-2441, 2022 | 24 | 2022 |
| Worse wer, but better bleu? leveraging word embedding as intermediate in multitask end-to-end speech translation SP Chuang, TW Sung, AH Liu, H Lee arXiv preprint arXiv:2005.10678, 2020 | 21 | 2020 |
| Dinosr: Self-distillation and online clustering for self-supervised speech representation learning AH Liu, HJ Chang, M Auli, WN Hsu, J Glass Advances in Neural Information Processing Systems 36, 58346-58362, 2023 | 20 | 2023 |
| Simple and effective unsupervised speech synthesis AH Liu, CIJ Lai, WN Hsu, M Auli, A Baevski, J Glass arXiv preprint arXiv:2204.02524, 2022 | 20 | 2022 |
| Codec-SUPERB: An in-depth analysis of sound codec models H Wu, HL Chung, YC Lin, YK Wu, X Chen, YC Pai, HH Wang, KW Chang, ... arXiv preprint arXiv:2402.13071, 2024 | 18 | 2024 |
| Self-supervised fine-tuning for improved content representations by speaker-invariant clustering HJ Chang, AH Liu, J Glass arXiv preprint arXiv:2305.11072, 2023 | 18 | 2023 |
James GlassMIT Computer Science and Artificial Intelligence LaboratoryVerified email at mit.edu
