Tongtao Ling

I am a Ph.D. student in the Department of Computer Science and Engineering at Southern University of Science and Technology (SUSTech), supervised by Prof. Zhong-Qiu Wang.

My research interests include:

  • Speech Separation
  • Audio-Visual Target Speaker Extraction
  • Multi-Modal Speech Enhancement
Email: lingtongtao@gmail.com / lingtt2025@mail.sustech.edu.cn
Google ScholarResearchGateGitHub

Education

Experience

Publications

2027

  1. T. Ling, P. Shen, S. He, Y. Ma, Y. Qiao, F. Fan, and Z.-Q. Wang, "Speak Naturally, Enroll Seamlessly: Target Speaker Enrollment and Extraction on Hearables", in ICASSP, 2027. (in submission)
  2. T. Ling, Z.-Q. Wang, "TAVA: Temporal Audio-Visual Alignment for Target Speaker Extraction", in ICASSP, 2027. (in submission)

2026

  1. T. Ling, Z.-Q. Wang, "Separate First, Then Associate: A Two-Stage Approach for Real-World Audio-Visual Speech Enhancement", in International Symposium on Chinese Spoken Language Processing (ISCSLP), 2026.
  2. T. Ling, S. He, Z.-Q. Wang, "TGTSE: Token-Guided Target Speaker Extraction with Visual Cue", in Interspeech, pp. 2236–2240, 2026. (CCF B)
  3. T. Ling, P. Shen, Z.-Q. Wang, "The SUSTech AILab System Description for CHiME-9 MCoRec Challenge", in ICASSP Workshop on HSCMA and CHiME, pp. 11–15, 2026.
  4. T. Ling, S. He, P. Shen, Z.-Q. Wang, "MC-LExt: Multi-Channel Target Speaker Extraction with Onset-Prompted Speaker Conditioning Mechanism", in ICASSP, pp. 18967–18971, 2026. (CCF B)
  5. Y. Lai, Z. Cai, L. Chen, T. Ling, H.-L. Liu, "LLMENAS: Evolutionary Neural Architecture Search via Large Language Model Guidance", in IEEE Transactions on Evolutionary Computation (TEVC), 2026. (CCF B)

2024

  1. T. Ling, L. Chen, Y. Lai, et al., "Span-based Few-shot Event Detection via Aligning External Knowledge", in Neural Networks (NN), vol. 176, pp. 106327, 2024. (CCF B)
  2. T. Ling, Y. Lai, L. Chen, et al., "A Small and Fast BERT for Chinese Medical Punctuation Restoration", in Interspeech, pp. 4533–4537, 2024. (CCF B)
  3. Z. Cai, L. Chen, P. Liu, T. Ling, et al., "EG-NAS: Neural Architecture Search with Fast Evolutionary Exploration", in AAAI, pp. 11159–11167, 2024. (CCF A)
  4. Z. Cai, L. Chen, T. Ling, et al., "STO-DARTS: Stochastic Bilevel Optimization for Differentiable Neural Architecture Search", in IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), vol. 8, no. 3, pp. 2324–2335, 2024.

2023

  1. T. Ling, L. Chen, Y. Lai, et al., "Evolutionary Verbalizer Search for Prompt-based Few Shot Text Classification", in KSEM, pp. 279–290, 2023. (CCF C)
  2. T. Ling, L. Chen, H. Sheng, et al., "Sentence-level Event Detection without Triggers via Prompt Learning and Machine Reading Comprehension", in ADMA, pp. 33–46, 2023. (CCF C)
  3. T. Ling, L. Chen, C. Liao, et al., "Improving Aspect Sentiment Classification via Retrieving from Training Data", in APSIPA ASC, pp. 490–497, 2023.
  4. Z. Yu, T. Ling, F. Gu, et al., "A Pre-trained Model For Chinese Medical Record Punctuation Restoration", in PRCV, pp. 101–112, 2023. (CCF C)

Academic Service