Jiangyan Yi
Associate Researcher
Works on speech signal processing, personalized speech synthesis and deepfake audio detection, and continual learning.
Jiangyan Yi's lab at Tsinghua works on speech recognition & spoken language, speech synthesis & voice and signal processing & information theory. 49 papers since 2023, 25 at top venues, mostly ICASSP and Interspeech. Applications close .
At a glance
- papers, 2023–2026
- 13/ year
- at T1 venues
- 51%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 2 papers2026 · T1 1 · collecting
- 9 papers2025 · T1 7
- 24 papers2024 · T1 10
- 14 papers2023 · T1 7
T1 venuesOtherVenues: ICASSP, Interspeech, ACM MM, AAAI, ICML
Research focuspaper titles that use each topic's words
- Speech recognition & spoken language18 papers
- Speech synthesis & voice14 papers
- speech13 papers
- deepfake10 papers
- Signal processing & information theory0 papers
Paper list
From DBLP.
20262 papers
20259 papers
- ICASSP (T1)Adversarial Training and Gradient Optimization for Partially Deepfake Audio Localization (opens in a new tab)
- ICML (T1)AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models (opens in a new tab)
- ACM MMALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection (opens in a new tab)
- AAAI (T1)Code-switching Mediated Sentence-level Semantic Learning (opens in a new tab)
- ICML (T1)OV-MER: Towards Open-Vocabulary Multimodal Emotion Recognition (opens in a new tab)
- ICASSP (T1)PET: High-Frequency Temporal Self-Consistency Learning for Partially Deepfake Audio Localization (opens in a new tab)
- AAAI (T1)Region-Based Optimization in Continual Learning for Audio Deepfake Detection (opens in a new tab)
- Inf. FusionSeeing helps hearing: A multi-modal dataset and a mamba-based dual branch parallel network for auditory attention decoding (opens in a new tab)
- ICASSP (T1)WMCodec: End-to-End Neural Speech Codec with Deep Watermarking for Authenticity Verification (opens in a new tab)
202424 papers
- Speech Communication (T1)CFAD: A Chinese dataset for fake audio detection (opens in a new tab)
- Neural NetworksDGSD: Dynamical graph self-distillation for EEG-based auditory spatial attention detection (opens in a new tab)
- CCLDistinguishing Neural Speech Synthesis Models Through Fingerprints in Speech Waveforms (opens in a new tab)
- IEEE ACM Trans. Audio Speech Lang. Process.Dual-Branch Knowledge Distillation for Noise-Robust Synthetic Speech Detection (opens in a new tab)
- IEEE Signal Process. Lett.Dynamic Ensemble Teacher-Student Distillation Framework for Light-Weight Fake Audio Detection (opens in a new tab)
- CCLEmoFake: An Initial Dataset for Emotion Fake Audio Detection (opens in a new tab)
- Artificial Intelligence (T1)Emotion selectable end-to-end text-based speech editing (opens in a new tab)
- Interspeech (T1)Enhancing Partially Spoofed Audio Localization with Boundary-aware Attention Mechanism (opens in a new tab)
- ICASSP (T1)Fewer-Token Neural Speech Codec with Time-Invariant Codes (opens in a new tab)
- Interspeech (T1)Frequency-mix Knowledge Distillation for Fake Speech Detection (opens in a new tab)
- ISCSLPMADD: A Multi-Lingual Multi-Speaker Audio Deepfake Detection Dataset (opens in a new tab)
- MRAC@MMMER 2024: Semi-Supervised Learning, Noise Robustness, and Open-Vocabulary Multimodal Emotion Recognition (opens in a new tab)
202314 papers
- DADA@IJCAIAdaptive Fake Audio Detection with Low-Rank Model Squeezing (opens in a new tab)
- DADA@IJCAIADD 2023: the Second Audio Deepfake Detection Challenge (opens in a new tab)
- IEEE ACM Trans. Audio Speech Lang. Process.Adversarial Multi-Task Learning for Mandarin Prosodic Boundary Prediction With Multi-Modal Embeddings (opens in a new tab)
- Interspeech (T1)Detection of Cross-Dataset Fake Audio Based on Prosodic and Pronunciation Features (opens in a new tab)
- ICML (T1)Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection (opens in a new tab)
- ICASSP (T1)GCC-Speaker: Target Speaker Localization with Optimal Speaker-Dependent Weighting in Multi-Speaker Scenarios (opens in a new tab)
- ICASSP (T1)Learning From Yourself: A Self-Distillation Method For Fake Speech Detection (opens in a new tab)
- DADA@IJCAILow-rank Adaptation Method for Wav2vec2-based Fake Audio Detection (opens in a new tab)
- ACM MMMER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning (opens in a new tab)
- Speech Communication (T1)Subband fusion of complex spectrogram for fake speech detection (opens in a new tab)
- Blizzard ChallengeThe VIBVG Speech Synthesis System for Blizzard Challenge 2023 (opens in a new tab)
- Interspeech (T1)TO-Rawnet: Improving RawNet with TCN and Orthogonal Regularization for Fake Audio Detection (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to TsinghuaFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- GRE
- See program page
- English
- Per school catalog
- Fee
- RMB 800
Not yet confirmed for this intake.
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