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Jiarui Hai
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2020 – today
- 2024
- [c6]Jiarui Hai, Helin Wang, Dongchao Yang, Karan Thakkar, Najim Dehak, Mounya Elhilali:
DPM-TSE: A Diffusion Probabilistic Model for Target Sound Extraction. ICASSP 2024: 1196-1200 - [c5]Karan Thakkar, Jiarui Hai, Mounya Elhilali:
Investigating Self-Supervised Deep Representations for EEG-Based Auditory Attention Decoding. ICASSP 2024: 1241-1245 - [i5]Helin Wang, Meng Yu, Jiarui Hai, Chen Chen, Yuchen Hu, Rilin Chen, Najim Dehak, Dong Yu:
SSR-Speech: Towards Stable, Safe and Robust Zero-shot Text-based Speech Editing and Synthesis. CoRR abs/2409.07556 (2024) - [i4]Helin Wang, Jiarui Hai, Yen-Ju Lu, Karan Thakkar, Mounya Elhilali, Najim Dehak:
SoloAudio: Target Sound Extraction with Language-oriented Audio Diffusion Transformer. CoRR abs/2409.08425 (2024) - [i3]Jiarui Hai, Yong Xu, Hao Zhang, Chenxing Li, Helin Wang, Mounya Elhilali, Dong Yu:
EzAudio: Enhancing Text-to-Audio Generation with Efficient Diffusion Transformer. CoRR abs/2409.10819 (2024) - 2023
- [c4]Jiarui Hai, Yu-Jeh Liu, Mounya Elhilali:
Boosting Modality Representation With Pre-Trained Models and Multi-Task Training for Multimodal Sentiment Analysis. ASRU 2023: 1-8 - [c3]Jiarui Hai, Mounya Elhilali:
Diff-Pitcher: Diffusion-Based Singing Voice Pitch Correction. WASPAA 2023: 1-5 - [i2]Jiarui Hai, Helin Wang, Dongchao Yang, Karan Thakkar, Najim Dehak, Mounya Elhilali:
DPM-TSE: A Diffusion Probabilistic Model for Target Sound Extraction. CoRR abs/2310.04567 (2023) - [i1]Karan Thakkar, Jiarui Hai, Mounya Elhilali:
Investigating Self-Supervised Deep Representations for EEG-based Auditory Attention Decoding. CoRR abs/2311.00814 (2023) - 2022
- [c2]Jiancheng Ye, Jiarui Hai, Zidan Wang, Chumei Wei:
Leveraging Natural Language Processing and Time Series Models to Analyze COVID-19 Vaccination Sentiment Dynamics from Tweets. AMIA 2022 - [c1]Rui Lu, Baigong Zheng, Jiarui Hai, Fei Tao, Zhiyao Duan, Ji Liu:
Progressive Teacher-Student Training Framework for Music Tagging. ICASSP 2022: 3129-3133
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last updated on 2024-10-23 20:31 CEST by the dblp team
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