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Ke Chen 0021
Person information
- affiliation: University of California San Diego, Music Department, CREL, San Diego, CA, USA
- affiliation: NYU Shanghai, 2Music X Lab, Shanghai, China
Other persons with the same name
- Ke Chen — disambiguation page
- Ke Chen 0001 — University of Manchester, Department of Computer Science, Manchester, UK (and 1 more)
- Ke Chen 0002 — University of Liverpool, UK
- Ke Chen 0003 — Tiangong University, formerly Tianjin Polytechnic University, School of Computer Science and Software Engineering, China (and 1 more)
- Ke Chen 0004 — South China University of Technology, School of Electronic and Information Engineering, Guangzhou, China (and 3 more)
- Ke Chen 0005 — Zhejiang University, Database Laboratory, China (and 1 more)
- Ke Chen 0006 — Google (and 1 more)
- Ke Chen 0007 — University Perpignan
- Ke Chen 0008 — Xihua University, School of Computer and Software Engineering, Chengdu, China
- Ke Chen 0009 — Shanghai University of Engineering Science, College of Electronic and Electrical Engineering, China
- Ke Chen 0011 — Penn State University, PA, USA (and 1 more)
- Ke Chen 0012 — Huazhong University of Science and Technology, Department of Construction Management, Wuhan, China (and 1 more)
- Ke Chen 0013 — Huazhong University of Science and Technology, Tongji Medical College, Wuhan, China (and 1 more)
- Ke Chen 0014 — Huazhong University of Science and Technology, School of Electronic Information and Communications, Science and Technology on Multi-Spectral Information Processing Laboratory, Wuhan, China
- Ke Chen 0015 — Nanjing University, School of Electronic Science and Engineering, Nanjing, China
- Ke Chen 0016 — Dalian University of Technology, School of Optoelectronic Engineering and Instrumentation Science, Dalian, China
- Ke Chen 0017 — Beijing University of Chemical Technology, College of Mechanical and Electrical Engineering, Beijing, China
- Ke Chen 0018 — Northeastern University, Department of Electrical and Computer Engineering, Boston, MA, USA
- Ke Chen 0019 — University of Hong Kong, Sau Po Centre on Ageing, Hong Kong (and 2 more)
- Ke Chen 0020 — University of Notre Dame, IN, USA
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2020 – today
- 2024
- [b1]Ke Chen:
Representation Learning for Music and Audio Intelligence. University of California, San Diego, USA, 2024 - [c20]Keren Shao, Ke Chen, Shlomo Dubnov:
Music Enhancement with Deep Filters: A Technical Report for the ICASSP 2024 Cadenza Challenge. ICASSP Workshops 2024: 119-120 - [c19]Haohe Liu, Ke Chen, Qiao Tian, Wenwu Wang, Mark D. Plumbley:
Audiosr: Versatile Audio Super-Resolution at Scale. ICASSP 2024: 1076-1080 - [c18]Ke Chen, Yusong Wu, Haohe Liu, Marianna Nezhurina, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
MusicLDM: Enhancing Novelty in text-to-music Generation Using Beat-Synchronous mixup Strategies. ICASSP 2024: 1206-1210 - [c17]Nikita Srivatsan, Ke Chen, Shlomo Dubnov, Taylor Berg-Kirkpatrick:
Retrieval Guided Music Captioning via Multimodal Prefixes. IJCAI 2024: 7762-7770 - [c16]Shuai Yu, Xiaoliang He, Ke Chen, Yi Yu:
HKDSME: Heterogeneous Knowledge Distillation for Semi-supervised Singing Melody Extraction Using Harmonic Supervision. ACM Multimedia 2024: 545-553 - [i21]Keren Shao, Ke Chen, Shlomo Dubnov:
Music Enhancement with Deep Filters: A Technical Report for The ICASSP 2024 Cadenza Challenge. CoRR abs/2404.11116 (2024) - [i20]Ke Chen, Jiaqi Su, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Zeyu Jin:
Improving Generalization of Speech Separation in Real-World Scenarios: Strategies in Simulation, Optimization, and Evaluation. CoRR abs/2408.16126 (2024) - [i19]Tornike Karchkhadze, Mohammad Rasool Izadi, Ke Chen, Gérard Assayag, Shlomo Dubnov:
Multi-Track MusicLDM: Towards Versatile Music Generation with Latent Diffusion Model. CoRR abs/2409.02845 (2024) - 2023
- [j1]Huidong Liang, Xingjian Du, Bilei Zhu, Zejun Ma, Ke Chen, Junbin Gao:
Graph contrastive learning with implicit augmentations. Neural Networks 163: 156-164 (2023) - [c15]Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian J. McAuley, Taylor Berg-Kirkpatrick:
Multitrack Music Transformer. ICASSP 2023: 1-5 - [c14]Yusong Wu, Ke Chen, Tianyu Zhang, Yuchen Hui, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
Large-Scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation. ICASSP 2023: 1-5 - [c13]Keren Shao, Ke Chen, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction. ISMIR 2023: 657-663 - [i18]Qiuqiang Kong, Ke Chen, Haohe Liu, Xingjian Du, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Mark D. Plumbley:
Universal Source Separation with Weakly Labelled Data. CoRR abs/2305.07447 (2023) - [i17]Ke Chen, Yusong Wu, Haohe Liu, Marianna Nezhurina, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies. CoRR abs/2308.01546 (2023) - [i16]Keren Shao, Ke Chen, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction. CoRR abs/2308.02723 (2023) - [i15]Haohe Liu, Ke Chen, Qiao Tian, Wenwu Wang, Mark D. Plumbley:
AudioSR: Versatile Audio Super-resolution at Scale. CoRR abs/2309.07314 (2023) - [i14]Ilaria Manco, Benno Weck, Seungheon Doh, Minz Won, Yixiao Zhang, Dmitry Bogdanov, Yusong Wu, Ke Chen, Philip Tovstogan, Emmanouil Benetos, Elio Quinton, György Fazekas, Juhan Nam:
The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation. CoRR abs/2311.10057 (2023) - 2022
- [c12]Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data. AAAI 2022: 4441-4449 - [c11]Xingjian Du, Ke Chen, Zijie Wang, Bilei Zhu, Zejun Ma:
Bytecover2: Towards Dimensionality Reduction of Latent Embedding for Efficient Cover Song Identification. ICASSP 2022: 616-620 - [c10]Ke Chen, Shuai Yu, Cheng-i Wang, Wei Li, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
Tonet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music. ICASSP 2022: 621-625 - [c9]Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection. ICASSP 2022: 646-650 - [c8]Xingjian Du, Huidong Liang, Yuan Wan, Yuheng Lin, Ke Chen, Bilei Zhu, Zejun Ma:
Latent feature augmentation for chorus detection. ISMIR 2022: 240-247 - [c7]Ke Chen, Hao-Wen Dong, Yi Luo, Julian J. McAuley, Taylor Berg-Kirkpatrick, Miller S. Puckette, Shlomo Dubnov:
Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments. ISMIR 2022: 726-732 - [i13]Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection. CoRR abs/2202.00874 (2022) - [i12]Ke Chen, Shuai Yu, Cheng-i Wang, Wei Li, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
TONet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music. CoRR abs/2202.00951 (2022) - [i11]Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian J. McAuley, Taylor Berg-Kirkpatrick:
Multitrack Music Transformer: Learning Long-Term Dependencies in Music with Diverse Instruments. CoRR abs/2207.06983 (2022) - [i10]Ke Chen, Hao-Wen Dong, Yi Luo, Julian J. McAuley, Taylor Berg-Kirkpatrick, Miller S. Puckette, Shlomo Dubnov:
Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments. CoRR abs/2209.02871 (2022) - [i9]Huidong Liang, Xingjian Du, Bilei Zhu, Zejun Ma, Ke Chen, Junbin Gao:
Graph Contrastive Learning with Implicit Augmentations. CoRR abs/2211.03710 (2022) - [i8]Yusong Wu, Ke Chen, Tianyu Zhang, Yuchen Hui, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation. CoRR abs/2211.06687 (2022) - 2021
- [c6]Ke Chen, Beici Liang, Xiaoshuan Ma, Minwei Gu:
Learning Audio Embeddings with User Listening Data for Content-Based Music Recommendation. ICASSP 2021: 3015-3019 - [i7]Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data. CoRR abs/2112.07891 (2021) - 2020
- [c5]Ziyu Wang, Ke Chen, Junyan Jiang, Yiyi Zhang, Maoran Xu, Shuqi Dai, Gus Xia:
POP909: A Pop-Song Dataset for Music Arrangement Generation. ISMIR 2020: 38-45 - [c4]Ke Chen, Cheng-i Wang, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm. ISMIR 2020: 77-84 - [c3]Hao-Wen Dong, Ke Chen, Julian J. McAuley, Taylor Berg-Kirkpatrick:
MusPy: A Toolkit for Symbolic Music Generation. ISMIR 2020: 101-108 - [c2]Ke Chen, Gus Xia, Shlomo Dubnov:
Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions. ICSC 2020: 128-135 - [i6]Ke Chen, Gus Xia, Shlomo Dubnov:
Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions. CoRR abs/2002.02393 (2020) - [i5]Ke Chen, Cheng-i Wang, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm. CoRR abs/2008.01291 (2020) - [i4]Hao-Wen Dong, Ke Chen, Julian J. McAuley, Taylor Berg-Kirkpatrick:
MusPy: A Toolkit for Symbolic Music Generation. CoRR abs/2008.01951 (2020) - [i3]Ziyu Wang, Ke Chen, Junyan Jiang, Yiyi Zhang, Maoran Xu, Shuqi Dai, Xianbin Gu, Gus Xia:
POP909: A Pop-song Dataset for Music Arrangement Generation. CoRR abs/2008.07142 (2020) - [i2]Ke Chen, Beici Liang, Xiaoshuan Ma, Minwei Gu:
Learning Audio Embeddings with User Listening Data for Content-based Music Recommendation. CoRR abs/2010.15389 (2020)
2010 – 2019
- 2019
- [c1]Junyan Jiang, Ke Chen, Wei Li, Gus Xia:
Large-vocabulary Chord Transcription Via Chord Structure Decomposition. ISMIR 2019: 644-651 - 2018
- [i1]Ke Chen, Weilin Zhang, Shlomo Dubnov, Gus Xia:
The Effect of Explicit Structure Encoding of Deep Neural Networks for Symbolic Music Generation. CoRR abs/1811.08380 (2018)
Coauthor Index
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last updated on 2024-11-19 20:47 CET by the dblp team
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