Weiwei Lin

409 total citations
27 papers, 209 citations indexed

About

Weiwei Lin is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Weiwei Lin has authored 27 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 18 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Weiwei Lin's work include Speech and Audio Processing (17 papers), Speech Recognition and Synthesis (17 papers) and Music and Audio Processing (11 papers). Weiwei Lin is often cited by papers focused on Speech and Audio Processing (17 papers), Speech Recognition and Synthesis (17 papers) and Music and Audio Processing (11 papers). Weiwei Lin collaborates with scholars based in Hong Kong, China and Taiwan. Weiwei Lin's co-authors include Man‐Wai Mak, Jen‐Tzung Chien, Na Li, Dan Su, Dong Yu, Longxin Li, Keqin Li, Wentai Wu, Na Li and Yu-Chiang Frank Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Weiwei Lin

23 papers receiving 204 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Weiwei Lin Hong Kong 8 181 159 16 11 9 27 209
Debadatta Pati India 11 229 1.3× 232 1.5× 29 1.8× 20 1.8× 10 1.1× 39 269
Maulik C. Madhavi India 9 164 0.9× 158 1.0× 16 1.0× 6 0.5× 7 0.8× 34 204
Natalia Tomashenko France 12 283 1.6× 176 1.1× 17 1.1× 3 0.3× 15 1.7× 34 324
Mike Seltzer United States 7 265 1.5× 196 1.2× 45 2.8× 6 0.5× 5 0.6× 17 311
Andrew Gibiansky United States 4 206 1.1× 155 1.0× 31 1.9× 6 0.5× 8 0.9× 5 235
Mirko Hannemann Czechia 10 379 2.1× 228 1.4× 38 2.4× 5 0.5× 8 0.9× 17 395
Xu Xiang China 7 203 1.1× 170 1.1× 29 1.8× 5 0.5× 10 1.1× 22 246
Mahsa Yarmohammadi United States 6 307 1.7× 174 1.1× 27 1.7× 5 0.5× 17 1.9× 14 334
Jian Luan China 7 116 0.6× 118 0.7× 33 2.1× 7 0.6× 6 0.7× 22 169

Countries citing papers authored by Weiwei Lin

Since Specialization
Citations

This map shows the geographic impact of Weiwei Lin'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 Weiwei Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Lin more than expected).

Fields of papers citing papers by Weiwei Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weiwei Lin. 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 Weiwei Lin. The network helps show where Weiwei Lin may publish in the future.

Co-authorship network of co-authors of Weiwei Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Weiwei Lin. A scholar is included among the top collaborators of Weiwei Lin 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 Weiwei Lin. Weiwei Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Xinhua, et al.. (2025). MCG-Sched: Multi-Cluster GPU Scheduling for Resource Fragmentation Reduction and Load Balancing. IEEE Transactions on Parallel and Distributed Systems. 36(12). 2789–2800.
2.
Lin, Weiwei, et al.. (2025). SparseTSF: Lightweight and Robust Time Series Forecasting via Sparse Modeling. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(1). 170–183. 3 indexed citations
3.
Lin, Weiwei, et al.. (2025). Reinforcement learning-based task scheduling for heterogeneous computing in end-edge-cloud environment. Cluster Computing. 28(3). 7 indexed citations
6.
Lin, Weiwei & Man‐Wai Mak. (2023). Model-Agnostic Meta-Learning for Fast Text-Dependent Speaker Embedding Adaptation. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 1866–1876. 6 indexed citations
7.
Mak, Man‐Wai, et al.. (2022). UNet-DenseNet for Robust Far-Field Speaker Verification. Interspeech 2022. 3 indexed citations
8.
Liu, Bo, et al.. (2022). A Package-Aware Scheduling Strategy for Edge Serverless Functions Based on Multi-Stage Optimization. SSRN Electronic Journal. 1 indexed citations
9.
Lin, Weiwei, et al.. (2022). A Survey on Text-Dependent and Text-Independent Speaker Verification. IEEE Access. 10. 99038–99049. 9 indexed citations
10.
Lin, Weiwei & Man‐Wai Mak. (2022). Robust Speaker Verification Using Population-Based Data Augmentation. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7 indexed citations
11.
Lin, Weiwei, et al.. (2021). Meta-Learned Feature Critics for Domain Generalized Semantic Segmentation. 2244–2248. 1 indexed citations
12.
Lin, Weiwei & Man‐Wai Mak. (2020). Wav2Spk: A Simple DNN Architecture for Learning Speaker Embeddings from Waveforms. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 3211–3215. 19 indexed citations
13.
Lin, Weiwei, Man‐Wai Mak, & Jen‐Tzung Chien. (2020). Strategies for End-to-End Text-Independent Speaker Verification. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 4308–4312. 2 indexed citations
14.
Lin, Weiwei, et al.. (2020). Multi-Level Deep Neural Network Adaptation for Speaker Verification Using MMD and Consistency Regularization. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 6839–6843. 26 indexed citations
15.
Lin, Weiwei, et al.. (2019). Semi-supervised Nuisance-attribute Networks for Domain Adaptation. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 17. 6236–6240. 4 indexed citations
16.
Lin, Weiwei, Man‐Wai Mak, & Jen‐Tzung Chien. (2018). Multisource I-Vectors Domain Adaptation Using Maximum Mean Discrepancy Based Autoencoders. IEEE/ACM Transactions on Audio Speech and Language Processing. 26(12). 2412–2422. 43 indexed citations
17.
Lin, Weiwei, Man‐Wai Mak, Longxin Li, & Jen‐Tzung Chien. (2018). Reducing Domain Mismatch by Maximum Mean Discrepancy Based Autoencoders. 162–167. 21 indexed citations
18.
Lin, Weiwei, Man‐Wai Mak, & Jen‐Tzung Chien. (2017). Fast scoring for PLDA with uncertainty propagation via i-vector grouping. Computer Speech & Language. 45. 503–515. 7 indexed citations
19.
Li, Na, Man‐Wai Mak, Weiwei Lin, & Jen‐Tzung Chien. (2017). Discriminative subspace modeling of SNR and duration variabilities for robust speaker verification. Computer Speech & Language. 45. 83–103. 5 indexed citations
20.
Lin, Weiwei & Man‐Wai Mak. (2016). Fast Scoring for PLDA with Uncertainty Propagation. 31–38. 3 indexed citations

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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