Chenglong Wang

Orcid: 0000-0002-5785-7027

Affiliations:
  • Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
  • University of Science and Technology of China, Hefei, China (PhD 2024)


According to our database1, Chenglong Wang authored at least 37 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
𝒜LLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection.
CoRR, May, 2025

Region-Based Optimization in Continual Learning for Audio Deepfake Detection.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
CFAD: A Chinese dataset for fake audio detection.
Speech Commun., 2024

SceneFake: An initial dataset and benchmarks for scene fake audio detection.
Pattern Recognit., 2024

Spatial reconstructed local attention Res2Net with F0 subband for fake speech detection.
Neural Networks, 2024

ADD 2023: Towards Audio Deepfake Detection and Analysis in the Wild.
CoRR, 2024

Utilizing Speaker Profiles for Impersonation Audio Detection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

RawBMamba: End-to-End Bidirectional State Space Model for Audio Deepfake Detection.
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Multi-Scale Permutation Entropy for Audio Deepfake Detection.
Proceedings of the IEEE International Conference on Acoustics, 2024

EmoFake: An Initial Dataset for Emotion Fake Audio Detection.
Proceedings of the Chinese Computational Linguistics - 23rd China National Conference, 2024

Distinguishing Neural Speech Synthesis Models Through Fingerprints in Speech Waveforms.
Proceedings of the Chinese Computational Linguistics - 23rd China National Conference, 2024

What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Adversarial Multi-Task Learning for Mandarin Prosodic Boundary Prediction With Multi-Modal Embeddings.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection.
CoRR, 2023

Audio Deepfake Detection: A Survey.
CoRR, 2023

Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection.
CoRR, 2023

Low-rank Adaptation Method for Wav2vec2-based Fake Audio Detection.
CoRR, 2023

TO-Rawnet: Improving RawNet with TCN and Orthogonal Regularization for Fake Audio Detection.
CoRR, 2023

TO-Rawnet: Improving RawNet with TCN and Orthogonal Regularization for Fake Audio Detection.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Detection of Cross-Dataset Fake Audio Based on Prosodic and Pronunciation Features.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection.
Proceedings of the International Conference on Machine Learning, 2023

Learning From Yourself: A Self-Distillation Method For Fake Speech Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023

Adaptive Fake Audio Detection with Low-Rank Model Squeezing.
Proceedings of the Workshop on Deepfake Audio Detection and Analysis co-located with 32th International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023

ADD 2023: the Second Audio Deepfake Detection Challenge.
Proceedings of the Workshop on Deepfake Audio Detection and Analysis co-located with 32th International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023

Low-rank Adaptation Method for Wav2vec2-based Fake Audio Detection.
Proceedings of the Workshop on Deepfake Audio Detection and Analysis co-located with 32th International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023

2022
SceneFake: An Initial Dataset and Benchmarks for Scene Fake Audio Detection.
CoRR, 2022

EmoFake: An Initial Dataset for Emotion Fake Audio Detection.
CoRR, 2022

System Fingerprints Detection for DeepFake Audio: An Initial Dataset and Investigation.
CoRR, 2022

ADD 2022: the First Audio Deep Synthesis Detection Challenge.
CoRR, 2022

An Initial Investigation for Detecting Vocoder Fingerprints of Fake Audio.
Proceedings of the DDAM@MM 2022: Proceedings of the 1st International Workshop on Deepfake Detection for Audio Multimedia, 2022

Fully Automated End-to-End Fake Audio Detection.
Proceedings of the DDAM@MM 2022: Proceedings of the 1st International Workshop on Deepfake Detection for Audio Multimedia, 2022

ADD 2022: the first Audio Deep Synthesis Detection Challenge.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Half-Truth: A Partially Fake Audio Detection Dataset.
CoRR, 2021

Which Phonemes Will Distinguish the Different Regions Within the Same Dialect?
Proceedings of the 24th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques, 2021

Hierarchically Attending Time-Frequency and Channel Features for Improving Speaker Verification.
Proceedings of the 12th International Symposium on Chinese Spoken Language Processing, 2021

Half-Truth: A Partially Fake Audio Detection Dataset.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Continual Learning for Fake Audio Detection.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021


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