Classification of Visit-to-Visit Blood Pressure Variability: A Machine Learning Approach for Data Clustering on Systolic Blood Pressure Intervention Trial (SPRINT). - 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 (DH, 2017)

TLGProb: Two-Layer Gaussian Process Regression Model for Winning Probability Calculation in Two-Team Sports. - Max W. Y. Lam (ICAISC (2), 2017)

Machine Learning on Drawing Behavior for Dementia Screening. - Kelvin Kam-fai Tsoi; Max W. Y. Lam; Christopher T. K. Chu; Michael P. F. Wong; Helen Mei-Ling Meng (DH, 2018)

Drawing-Based Automatic Dementia Screening Using Gaussian Process Markov Chains. - Max W. Y. Lam; Xunying Liu; Helen Mei-Ling Meng; Kelvin Kam-fai Tsoi (HICSS, 2018)

Gaussian Process Neural Networks for Speech Recognition. - Max W. Y. Lam; Shoukang Hu; Xurong Xie; Shansong Liu; Jianwei Yu 001; Rongfeng Su; Xunying Liu; Helen Meng (INTERSPEECH, 2018)

Development of the CUHK Dysarthric Speech Recognition System for the UA Speech Corpus. - Jianwei Yu 001; Xurong Xie; Shansong Liu; Shoukang Hu; Max W. Y. Lam; Xixin Wu; Ka Ho Wong; Xunying Liu; Helen Meng (INTERSPEECH, 2018)

One-Match-Ahead Forecasting in Two-Team Sports with Stacked Bayesian Regressions. - Max W. Y. Lam (J. Artif. Intell. Soft Comput. Res., 2018)

Bayesian and Gaussian Process Neural Networks for Large Vocabulary Continuous Speech Recognition. - Shoukang Hu; Max W. Y. Lam; Xurong Xie; Shansong Liu; Jianwei Yu 001; Xixin Wu; Xunying Liu; Helen Meng (ICASSP, 2019)

Gaussian Process Lstm Recurrent Neural Network Language Models for Speech Recognition. - Max W. Y. Lam; Xie Chen 001; Shoukang Hu; Jianwei Yu 001; Xunying Liu; Helen Meng (ICASSP, 2019)

Recurrent Neural Network Language Model Training Using Natural Gradient. - Jianwei Yu 001; Max W. Y. Lam; Xie Chen 001; Shoukang Hu; Songxiang Liu; Xixin Wu; Xunying Liu; Helen Meng (ICASSP, 2019)

LF-MMI Training of Bayesian and Gaussian Process Time Delay Neural Networks for Speech Recognition. - Shoukang Hu; Xurong Xie; Shansong Liu; Max W. Y. Lam; Jianwei Yu 001; Xixin Wu; Xunying Liu; Helen Meng (INTERSPEECH, 2019)

Extract, Adapt and Recognize: An End-to-End Neural Network for Corrupted Monaural Speech Recognition. - Max W. Y. Lam; Jun Wang 091; Xunying Liu; Helen Meng; Dan Su 002; Dong Yu 001 (INTERSPEECH, 2019)

Comparative Study of Parametric and Representation Uncertainty Modeling for Recurrent Neural Network Language Models. - Jianwei Yu 001; Max W. Y. Lam; Shoukang Hu; Xixin Wu; Xu Li 015; Yuewen Cao; Xunying Liu; Helen Meng (INTERSPEECH, 2019)

Mixup-breakdown: A Consistency Training Method for Improving Generalization of Speech Separation Models. - Max W. Y. Lam; Jun Wang 091; Dan Su 002; Dong Yu 001 (ICASSP, 2020)

Tune-In: Training Under Negative Environments with Interference for Attention Networks Simulating Cocktail Party Effect. - Jun Wang 091; Max W. Y. Lam; Dan Su 002; Dong Yu 001 (AAAI, 2021)

Sandglasset: A Light Multi-Granularity Self-Attentive Network for Time-Domain Speech Separation. - Max W. Y. Lam; Jun Wang 091; Dan Su 002; Dong Yu 001 (ICASSP, 2021)

Contrastive Separative Coding for Self-Supervised Representation Learning. - Jun Wang 091; Max W. Y. Lam; Dan Su 002; Dong Yu 001 (ICASSP, 2021)

Raw Waveform Encoder with Multi-Scale Globally Attentive Locally Recurrent Networks for End-to-End Speech Recognition. - Max W. Y. Lam; Jun Wang 091; Chao Weng; Dan Su 002; Dong Yu 001 (Interspeech, 2021)

Effective Low-Cost Time-Domain Audio Separation Using Globally Attentive Locally Recurrent Networks. - Max W. Y. Lam; Jun Wang 091; Dan Su 002; Dong Yu 001 (SLT, 2021)

Bilateral Denoising Diffusion Models. - Max W. Y. Lam; Jun Wang 091; Rongjie Huang 001; Dan Su 002; Dong Yu 001 (CoRR, 2021)

BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis. - Max W. Y. Lam; Jun Wang 091; Dan Su 002; Dong Yu 001 (ICLR, 2022)

FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis. - Rongjie Huang 001; Max W. Y. Lam; Jun Wang 091; Dan Su 002; Dong Yu 001; Yi Ren 006; Zhou Zhao 001 (IJCAI, 2022)

Diverse and Expressive Speech Prosody Prediction with Denoising Diffusion Probabilistic Model. - Xiang Li 105; Songxiang Liu; Max W. Y. Lam; Zhiyong Wu 001; Chao Weng; Helen Meng (INTERSPEECH, 2023)

Efficient Neural Music Generation. - Max W. Y. Lam; Qiao Tian 001; Tang Li 001; Zongyu Yin; Siyuan Feng; Ming Tu; Yuliang Ji; Rui Xia; Mingbo Ma; Xuchen Song; Jitong Chen; Yuping Wang 005; et al. (NeurIPS, 2023)

SongCreator: Lyrics-based Universal Song Generation. - Shun Lei; Yixuan Zhou 002; Boshi Tang; Max W. Y. Lam; Feng Liu; Hangyu Liu; Jingcheng Wu; Shiyin Kang; Zhiyong Wu 001; Helen Meng (NeurIPS, 2024)

Foundation Models for Music: A Survey. - 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; et al. (CoRR, 2024)

Analyzable Chain-of-Musical-Thought Prompting for High-Fidelity Music Generation. - Max W. Y. Lam; Yijin Xing; Weiya You; Jingcheng Wu; Zongyu Yin; Fuqiang Jiang; Hangyu Liu; Feng Liu; Xingda Li; Wei-Tsung Lu; Hanyu Chen; Tong Feng; et al. (CoRR, 2025)