Max W. Y. Lam

670 total citations
21 papers, 231 citations indexed

About

Max W. Y. Lam is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Max W. Y. Lam has authored 21 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Signal Processing and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Max W. Y. Lam's work include Speech Recognition and Synthesis (14 papers), Speech and Audio Processing (8 papers) and Music and Audio Processing (8 papers). Max W. Y. Lam is often cited by papers focused on Speech Recognition and Synthesis (14 papers), Speech and Audio Processing (8 papers) and Music and Audio Processing (8 papers). Max W. Y. Lam collaborates with scholars based in United States, China and Hong Kong. Max W. Y. Lam's co-authors include Dan Su, Dong Yu, Xunying Liu, Helen Meng, Jianwei Yu, Shoukang Hu, Jun Wang, Jun Wang, Jun Wang and Rongjie Huang and has published in prestigious journals such as Alzheimer s & Dementia, Journal of Artificial Intelligence and Soft Computing Research and PubMed.

In The Last Decade

Max W. Y. Lam

21 papers receiving 220 citations

Peers

Countries citing papers authored by Max W. Y. Lam

Since Specialization

Citations

This map shows the geographic impact of Max W. Y. Lam's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Max W. Y. Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max W. Y. Lam more than expected).

Fields of papers citing papers by Max W. Y. Lam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Max W. Y. Lam. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Max W. Y. Lam. The network helps show where Max W. Y. Lam may publish in the future.

Co-authorship network of co-authors of Max W. Y. Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Max W. Y. Lam. A scholar is included among the top collaborators of Max W. Y. Lam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Max W. Y. Lam. Max W. Y. Lam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Diverse and Expressive Speech Prosody Prediction with Denoising Diffusion Probabilistic Model 2023 ·Xiang Li, Songxiang Liu, Max W. Y. Lam, (unknown), Chao Weng, Helen Meng	2
2	FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis 2022 ·Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence ·Rongjie Huang, Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu, Yi Ren, Zhou Zhao	46
3	Raw Waveform Encoder with Multi-Scale Globally Attentive Locally Recurrent Networks for End-to-End Speech Recognition 2021 ·Max W. Y. Lam, Jun Wang, Chao Weng, Dan Su, Dong Yu	1
4	Effective Low-Cost Time-Domain Audio Separation Using Globally Attentive Locally Recurrent Networks 2021 ·Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu	15
5	Tune-In: Training Under Negative Environments with Interference for Attention Networks Simulating Cocktail Party Effect 2021 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Jun Wang, Max W. Y. Lam, Dan Su, Dong Yu	4
6	Contrastive Separative Coding for Self-Supervised Representation Learning 2021 ·Jun Wang, Max W. Y. Lam, Dan Su, Dong Yu	1
7	Sandglasset: A Light Multi-Granularity Self-Attentive Network for Time-Domain Speech Separation 2021 ·Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu	30
8	Mixup-breakdown: A Consistency Training Method for Improving Generalization of Speech Separation Models 2020 ·Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu	16
9	Comparative Study of Parametric and Representation Uncertainty Modeling for Recurrent Neural Network Language Models 2019 ·Jianwei Yu, Max W. Y. Lam, Shoukang Hu, Xixin Wu, Li Xu, Yuewen Cao, Xunying Liu, Helen Meng	5
10	Gaussian Process Lstm Recurrent Neural Network Language Models for Speech Recognition 2019 ·Max W. Y. Lam, Xie Chen, Shoukang Hu, Jianwei Yu, Xunying Liu, Helen Meng	23
11	Extract, Adapt and Recognize: An End-to-End Neural Network for Corrupted Monaural Speech Recognition 2019 ·Max W. Y. Lam, Jun Wang, Xunying Liu, Helen Meng, Dan Su, Dong Yu	4
12	Bayesian and Gaussian Process Neural Networks for Large Vocabulary Continuous Speech Recognition 2019 ·Shoukang Hu, Max W. Y. Lam, (unknown), Shansong Liu, Jianwei Yu, Xixin Wu, Xunying Liu, Helen Meng	10
13	LF-MMI Training of Bayesian and Gaussian Process Time Delay Neural Networks for Speech Recognition 2019 ·Shoukang Hu, Xurong Xie, Shansong Liu, Max W. Y. Lam, Jianwei Yu, Xixin Wu, Xunying Liu, Helen Meng	7
14	One-Match-Ahead Forecasting in Two-Team Sports with Stacked Bayesian Regressions 2018 ·Journal of Artificial Intelligence and Soft Computing Research ·Max W. Y. Lam	14
15	Drawing-Based Automatic Dementia Screening Using Gaussian Process Markov Chains 2018 ·Proceedings of the ... Annual Hawaii International Conference on System Sciences ·Max W. Y. Lam, Xunying Liu, (unknown), Kelvin Tsoi	2
16	Gaussian Process Neural Networks for Speech Recognition 2018 ·Max W. Y. Lam, Shoukang Hu, Xurong Xie, Shansong Liu, Jianwei Yu, (unknown), Xunying Liu, Helen Meng	8
17	Development of the CUHK Dysarthric Speech Recognition System for the UA Speech Corpus 2018 ·Jianwei Yu, Xurong Xie, Shansong Liu, Shoukang Hu, Max W. Y. Lam, Xixin Wu, Ka Ho Wong, Xunying Liu, Helen Meng	35
18	Machine Learning on Drawing Behavior for Dementia Screening 2018 ·Kelvin Tsoi, Max W. Y. Lam, (unknown), (unknown), Helen Meng	4
19	TD‐P‐023: MACHINE LEARNING ON DIGITAL DRAWING DATA FOR PRELIMINARY DEMENTIA SCREENING 2018 ·Alzheimer s & Dementia ·Kelvin Tsoi, Max W. Y. Lam, (unknown), (unknown), Helen Meng	2
20	P2‐184: An Automated Electronic Rating System for the Overlapped Pentagons in Dementia Screening Tests 2016 ·Alzheimer s & Dementia ·Kelvin Tsoi, (unknown), Max W. Y. Lam	1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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