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ORCIDMax W. Y. Lam
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2020 – today
- 2024
[i13]Yinghao Ma, Anders Øland, Anton Ragni, Bleiz Macsen Del Sette, Charalampos Saitis, Chris Donahue, Chenghua Lin, Christos Plachouras, Emmanouil Benetos, Elio Quinton, Elona Shatri, Fabio Morreale, Ge Zhang, György Fazekas, Gus Xia, Huan Zhang, Ilaria Manco, Jiawen Huang, Julien Guinot
, Liwei Lin, Luca Marinelli, Max W. Y. Lam, Megha Sharma, Qiuqiang Kong, Roger B. Dannenberg, Ruibin Yuan, Shangda Wu, Shih-Lun Wu, Shuqi Dai, Shun Lei, Shiyin Kang, Simon Dixon, Wenhu Chen, Wenhao Huang, Xingjian Du, Xingwei Qu, Xu Tan, Yizhi Li, Zeyue Tian, Zhiyong Wu, Zhizheng Wu, Ziyang Ma, Ziyu Wang:
Foundation Models for Music: A Survey. CoRR abs/2408.14340 (2024)- [i12]Shun Lei, Yixuan Zhou, Boshi Tang, Max W. Y. Lam, Feng Liu, Hangyu Liu, Jingcheng Wu, Shiyin Kang, Zhiyong Wu, Helen Meng:
SongCreator: Lyrics-based Universal Song Generation. CoRR abs/2409.06029 (2024) - 2023
- [c22]Xiang Li, Songxiang Liu, Max W. Y. Lam, Zhiyong Wu, Chao Weng, Helen Meng:
Diverse and Expressive Speech Prosody Prediction with Denoising Diffusion Probabilistic Model. INTERSPEECH 2023: 4858-4862 - [c21]Max W. Y. Lam, Qiao Tian, Tang Li, Zongyu Yin, Siyuan Feng, Ming Tu, Yuliang Ji, Rui Xia, Mingbo Ma, Xuchen Song, Jitong Chen, Yuping Wang, Yuxuan Wang:
Efficient Neural Music Generation. NeurIPS 2023 - [i11]Max W. Y. Lam, Qiao Tian, Tang Li, Zongyu Yin, Siyuan Feng, Ming Tu, Yuliang Ji, Rui Xia, Mingbo Ma, Xuchen Song, Jitong Chen, Yuping Wang, Yuxuan Wang:
Efficient Neural Music Generation. CoRR abs/2305.15719 (2023) - [i10]Xiang Li, Songxiang Liu, Max W. Y. Lam, Zhiyong Wu, Chao Weng, Helen Meng:
Diverse and Expressive Speech Prosody Prediction with Denoising Diffusion Probabilistic Model. CoRR abs/2305.16749 (2023) - 2022
- [c20]Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu:
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis. ICLR 2022 - [c19]Rongjie Huang, Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu, Yi Ren, Zhou Zhao:
FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis. IJCAI 2022: 4157-4163 - [i9]Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu:
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis. CoRR abs/2203.13508 (2022) - [i8]Rongjie Huang, Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu, Yi Ren, Zhou Zhao:
FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis. CoRR abs/2204.09934 (2022) - 2021
- [c18]Jun Wang, Max W. Y. Lam, Dan Su, Dong Yu:
Tune-In: Training Under Negative Environments with Interference for Attention Networks Simulating Cocktail Party Effect. AAAI 2021: 13961-13969 - [c17]Jun Wang, Max W. Y. Lam, Dan Su, Dong Yu:
Contrastive Separative Coding for Self-Supervised Representation Learning. ICASSP 2021: 3865-3869 - [c16]Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu:
Sandglasset: A Light Multi-Granularity Self-Attentive Network for Time-Domain Speech Separation. ICASSP 2021: 5759-5763 - [c15]Max W. Y. Lam, Jun Wang, Chao Weng, Dan Su, Dong Yu:
Raw Waveform Encoder with Multi-Scale Globally Attentive Locally Recurrent Networks for End-to-End Speech Recognition. Interspeech 2021: 316-320 - [c14]Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu:
Effective Low-Cost Time-Domain Audio Separation Using Globally Attentive Locally Recurrent Networks. SLT 2021: 801-808 - [i7]Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu:
Effective Low-Cost Time-Domain Audio Separation Using Globally Attentive Locally Recurrent Networks. CoRR abs/2101.05014 (2021) - [i6]Jun Wang, Max W. Y. Lam, Dan Su, Dong Yu:
Contrastive Separative Coding for Self-supervised Representation Learning. CoRR abs/2103.00816 (2021) - [i5]Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu:
Sandglasset: A Light Multi-Granularity Self-attentive Network For Time-Domain Speech Separation. CoRR abs/2103.00819 (2021) - [i4]Jun Wang, Max W. Y. Lam, Dan Su, Dong Yu:
Tune-In: Training Under Negative Environments with Interference for Attention Networks Simulating Cocktail Party Effect. CoRR abs/2103.01461 (2021) - [i3]Max W. Y. Lam, Jun Wang, Chao Weng, Dan Su, Dong Yu:
Raw Waveform Encoder with Multi-Scale Globally Attentive Locally Recurrent Networks for End-to-End Speech Recognition. CoRR abs/2106.04275 (2021) - [i2]Max W. Y. Lam, Jun Wang, Rongjie Huang, Dan Su, Dong Yu:
Bilateral Denoising Diffusion Models. CoRR abs/2108.11514 (2021) - 2020
- [c13]Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu:
Mixup-breakdown: A Consistency Training Method for Improving Generalization of Speech Separation Models. ICASSP 2020: 6374-6378
2010 – 2019
- 2019
- [c12]Shoukang Hu, Max W. Y. Lam, Xurong Xie, Shansong Liu, Jianwei Yu, Xixin Wu, Xunying Liu, Helen Meng:
Bayesian and Gaussian Process Neural Networks for Large Vocabulary Continuous Speech Recognition. ICASSP 2019: 6555-6559 - [c11]Max W. Y. Lam, Xie Chen, Shoukang Hu, Jianwei Yu, Xunying Liu, Helen Meng:
Gaussian Process Lstm Recurrent Neural Network Language Models for Speech Recognition. ICASSP 2019: 7235-7239 - [c10]Jianwei Yu, Max W. Y. Lam, Xie Chen, Shoukang Hu, Songxiang Liu, Xixin Wu, Xunying Liu, Helen Meng:
Recurrent Neural Network Language Model Training Using Natural Gradient. ICASSP 2019: 7260-7264 - [c9]Max W. Y. Lam, Jun Wang, Xunying Liu, Helen Meng, Dan Su, Dong Yu:
Extract, Adapt and Recognize: An End-to-End Neural Network for Corrupted Monaural Speech Recognition. INTERSPEECH 2019: 2778-2782 - [c8]Shoukang Hu, Xurong Xie, Shansong Liu, Max W. Y. Lam, Jianwei Yu, Xixin Wu, Xunying Liu, Helen Meng:
LF-MMI Training of Bayesian and Gaussian Process Time Delay Neural Networks for Speech Recognition. INTERSPEECH 2019: 2793-2797 - [c7]Jianwei Yu, Max W. Y. Lam, Shoukang Hu, Xixin Wu, Xu Li, Yuewen Cao, Xunying Liu, Helen Meng:
Comparative Study of Parametric and Representation Uncertainty Modeling for Recurrent Neural Network Language Models. INTERSPEECH 2019: 3510-3514 - [i1]Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu:
Mixup-breakdown: a consistency training method for improving generalization of speech separation models. CoRR abs/1910.13253 (2019) - 2018
- [j1]Max W. Y. Lam:
One-Match-Ahead Forecasting in Two-Team Sports with Stacked Bayesian Regressions. J. Artif. Intell. Soft Comput. Res. 8(3): 159-171 (2018) - [c6]Kelvin Kam-fai Tsoi, Max W. Y. Lam, Christopher T. K. Chu, Michael P. F. Wong, Helen Mei-Ling Meng:
Machine Learning on Drawing Behavior for Dementia Screening. DH 2018: 131-132 - [c5]Max W. Y. Lam, Xunying Liu, Helen Mei-Ling Meng, Kelvin Kam-fai Tsoi:
Drawing-Based Automatic Dementia Screening Using Gaussian Process Markov Chains. HICSS 2018: 1-10 - [c4]Max W. Y. Lam, Shoukang Hu, Xurong Xie, Shansong Liu, Jianwei Yu, Rongfeng Su, Xunying Liu, Helen Meng:
Gaussian Process Neural Networks for Speech Recognition. INTERSPEECH 2018: 1778-1782 - [c3]Jianwei Yu, Xurong Xie, Shansong Liu, Shoukang Hu, Max W. Y. Lam, Xixin Wu, Ka Ho Wong, Xunying Liu, Helen Meng:
Development of the CUHK Dysarthric Speech Recognition System for the UA Speech Corpus. INTERSPEECH 2018: 2938-2942 - 2017
- [c2]Kelvin Kam-fai Tsoi, Max W. Y. Lam, Felix C. H. Chan, Hoyee W. Hirai, Baker K. K. Bat, Samuel Y. S. Wong, Helen Mei-Ling Meng:
Classification of Visit-to-Visit Blood Pressure Variability: A Machine Learning Approach for Data Clustering on Systolic Blood Pressure Intervention Trial (SPRINT). DH 2017: 58-59 - [c1]Max W. Y. Lam:
TLGProb: Two-Layer Gaussian Process Regression Model for Winning Probability Calculation in Two-Team Sports. ICAISC (2) 2017: 280-291
Coauthor Index
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last updated on 2024-11-14 22:00 CET by the dblp team
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