Lingwei Meng

About

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I'm currently a Ph.D. student at Human-Computer Communications Laboratory (HCCL), The Chinese University of Hong Kong (CUHK), supervised by Prof. Helen Meng. Previously, I received my M.Phil. degree from the Institute of Automation, Chinese Academy of Sciences (CASIA), where I was supervised by Prof. Jie Tian. And I received my Bachelor's degree from Harbin Institute of Technology (HIT).

My recent research interests focus on speech processing and recognition. I'm also interested in generative AI and integrating speech with large language models.

News

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[May 2023]  A first-authored [paper] has been accepted to ISCA INTERSPEECH 2023.
[Feb 2023]  A first-authored [paper] has been accepted to IEEE ICASSP 2023 (Oral).
[Jun 2022]  Two papers have been accepted to ISCA INTERSPEECH 2022.
[Mar 2022]  Our [paper] was selected as an ⭐️ ESI Highly Cited Paper by Web of Science.
[Jan 2022]  We won the 2nd place on the diarization track of the ICASSP 2022 - M2Met Chanllenge. This is our [paper].

Education

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Since 2021, Ph.D. student, The Chinese University of Hong Kong (CUHK).
2018 - 2021, M.Phil., Pattern Recognition and Intelligent Systems, Institute of Automation, Chinese Academy of Sciences (CASIA).
2014 - 2018, B.Eng., Electrical Engineering, Harbin Institute of Technology (HIT).

Publications

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[Google Scholar]

- Speech related:

• A Sidecar Separator Can Convert a Single-Talker Speech Recognition System to a Multi-Talker One   |   [slides] [video]
  Lingwei Meng, Jiawen Kang, Mingyu Cui, Yuejiao Wang, Xixin Wu, Helen Meng
  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes Island, Greece, 2023
  (Oral Presentation)

• Unified Modeling of Multi-Talker Overlapped Speech Recognition and Diarization with a Sidecar Separator
  Lingwei Meng, Jiawen Kang, Mingyu Cui, Haibin Wu, Xixin Wu, Helen Meng
  ISCA INTERSPEECH, Dublin, Ireland, 2023

• The defender's perspective on automatic speaker verification: An overview
  Haibin Wu, Jiawen Kang, Lingwei Meng, Helen Meng, Hung-yi Lee
  International Joint Conferences on Artificial Intelligence (IJCAI) Workshop, Macao SAR, China, 2023

• Spoofing-Aware Speaker Verification by Multi-Level Fusion
  Haibin Wu, Lingwei Meng, Jiawen Kang, Jinchao Li, Xu Li, Xixin Wu, Hung-yi Lee, Helen Meng
  ISCA INTERSPEECH, Incheon, Korea, 2022

• Exploring Linguistic Feature and Model Combination for Speech Recognition Based Automatic AD Detection
  Yi Wang, Tianzi Wang, Zi Ye, Lingwei Meng, Shoukang Hu, Xixin Wu, Xunying Liu, Helen Meng
  ISCA INTERSPEECH, Incheon, Korea, 2022

• The CUHK-Tencent Speaker Diarization System for the ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Challenge
  Naijun Zheng, Na Li, Xixin Wu, Lingwei Meng, Jiawen Kang, Haibin Wu, Chao Weng, Dan Su, Helen Meng
  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Singapore, 2022

• Tackling Spoofing-Aware Speaker Verification with Multi-Model Fusion
  Haibin Wu, Jiawen Kang, Lingwei Meng, Yang Zhang, Xixin Wu, Zhiyong Wu, Hung-yi Lee, Helen Meng
  ISCA The Speaker and Language Recognition Workshop (Odyssey), Beijing, China, 2022

- Medical Image Analysis related:

• 2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: a Multi-Center Study
  Lingwei Meng, Di Dong, Xin Chen, Mengjie Fang, Rongpin Wang, Jing Li, Zaiyi Liu, Jie Tian
  IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2021
  (ESI Highly Cited Paper)

• A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: a Multi-Center Study
  Lingwei Meng, Di Dong, Liang Li, Meng Niu, Yan Bai, Meiyun Wang, Xiaoming Qiu, Yunfei Zha, Jie Tian
  IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2020

• Noninvasive Model for Predicting Future Ischemic Strokes in Patients with Silent Lacunar Infarction Using Radiomics
  Jiehua Su#, Lingwei Meng#, Di Dong#, Wenyan Zhuo, Jianming Wang, Libin Liu, Yi Qin, Ye Tian, Jie Tian, Zhaohui Li
  BMC Medical Imaging, 2020  (# denotes the co-first authorship.)

• Deep Learning-Based AI Model for Signet-Ring Cell Carcinoma Diagnosis and Chemotherapy Response Prediction in Gastric Cancer
  Cong Li, Yun Qin, Wei-Han Zhang, Hanyu Jiang, Bin Song, Mustafa R. Bashir, Heng Xu, Ting Duan, Mengjie Fang, Lianzhen Zhong, Lingwei Meng, Di Dong, Zhenhua Hu, Jie Tian, Jian-Kun Hu
  Medical Physics, 2022

• CT-based radiomic model at node level for the prediction of normal-sized lymph node metastasis in cervical cancer
  Yujia Liu, Huijian Fan, Di Dong, Ping Liu, Bingxi He, Lingwei Meng, Jiaming Chen, Chunlin Chen, Jinghe Lang, Jie Tian
  Translational Oncology, 2021

• CT Radiomics Can Help Screen the Coronavirus Disease 2019 (COVID-19): a Preliminary Study
  Mengjie Fang, Bingxi He, Li Li, Di Dong, Xin Yang, Cong Li, Lingwei Meng, Lianzhen Zhong, Hailin Li, Hongjun Li, Jie Tian
  Science China-Information Sciences, 2020

Challenges

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• Rank 2/14IEEE ICASSP 2022 Multi-channel Multi-party Meeting Transcription Challenge (M2MeT) - Track 1

Activities

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• Serving as a reviewer of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
• Serving as a reviewer of ISCA INTERSPEECH
• Serving as a reviewer of IEEE Journal of Biomedical and Health Informatics

Teaching Assistance

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SEEM 3440, Operation Research II
AIST 3510 / SEEM 3510, Human-Computer Interaction

Miscellaneous

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Some awards on control algorithm and circuit design competitions:

• First Prize (main contributor) Aug 2018, the National Marine Vehicle Design Competition, China
• Second Prize (team leader) Jun 2017, ABU Asia-Pacific Robot Contest (RoboCon), China Division
• Second Prize (team leader) Jul 2016, NXP Cup National University Students Intelligent Car Race, China
• Second Prize (team leader) Sep 2015, the National Undergraduate Electronics Design Contest, China