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Efficientdet: Scalable and efficient object detection M Tan, R Pang, QV Le Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 6363 | 2020 |
Mnasnet: Platform-aware neural architecture search for mobile M Tan, B Chen, R Pang, V Vasudevan, M Sandler, A Howard, QV Le Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 3476 | 2019 |
Natural tts synthesis by conditioning wavenet on mel spectrogram predictions J Shen, R Pang, RJ Weiss, M Schuster, N Jaitly, Z Yang, Z Chen, Y Zhang, ... 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 3061 | 2018 |
Conformer: Convolution-augmented transformer for speech recognition A Gulati, J Qin, CC Chiu, N Parmar, Y Zhang, J Yu, W Han, S Wang, ... arXiv preprint arXiv:2005.08100, 2020 | 2775 | 2020 |
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Transfer learning from speaker verification to multispeaker text-to-speech synthesis Y Jia, Y Zhang, R Weiss, Q Wang, J Shen, F Ren, P Nguyen, R Pang, ... Advances in neural information processing systems 31, 2018 | 915 | 2018 |
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Characteristics of internet background radiation R Pang, V Yegneswaran, P Barford, V Paxson, L Peterson Proceedings of the 4th ACM SIGCOMM conference on Internet measurement, 27-40, 2004 | 535 | 2004 |
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W2v-bert: Combining contrastive learning and masked language modeling for self-supervised speech pre-training YA Chung, Y Zhang, W Han, CC Chiu, J Qin, R Pang, Y Wu 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021 | 332 | 2021 |
Pushing the limits of semi-supervised learning for automatic speech recognition Y Zhang, J Qin, DS Park, W Han, CC Chiu, R Pang, QV Le, Y Wu arXiv preprint arXiv:2010.10504, 2020 | 330 | 2020 |
A first look at modern enterprise traffic R Pang, M Allman, M Bennett, J Lee, V Paxson, B Tierney Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement, 2-2, 2005 | 310 | 2005 |
Bignas: Scaling up neural architecture search with big single-stage models J Yu, P Jin, H Liu, G Bender, PJ Kindermans, M Tan, T Huang, X Song, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 301 | 2020 |
Contextnet: Improving convolutional neural networks for automatic speech recognition with global context W Han, Z Zhang, Y Zhang, J Yu, CC Chiu, J Qin, A Gulati, R Pang, Y Wu arXiv preprint arXiv:2005.03191, 2020 | 288 | 2020 |
Reliability and Security in the CoDeeN Content Distribution Network. L Wang, KS Park, R Pang, VS Pai, LL Peterson USENIX Annual Technical Conference, General Track, 171-184, 2004 | 282 | 2004 |
Vector-quantized image modeling with improved vqgan J Yu, X Li, JY Koh, H Zhang, R Pang, J Qin, A Ku, Y Xu, J Baldridge, Y Wu arXiv preprint arXiv:2110.04627, 2021 | 276 | 2021 |
Hierarchical generative modeling for controllable speech synthesis WN Hsu, Y Zhang, RJ Weiss, H Zen, Y Wu, Y Wang, Y Cao, Y Jia, Z Chen, ... arXiv preprint arXiv:1810.07217, 2018 | 267 | 2018 |
A high-level programming environment for packet trace anonymization and transformation R Pang, V Paxson Proceedings of the 2003 conference on Applications, technologies …, 2003 | 236 | 2003 |
Oblivious hashing: A stealthy software integrity verification primitive Y Chen, R Venkatesan, M Cary, R Pang, S Sinha, MH Jakubowski Information Hiding: 5th International Workshop, IH 2002 Noordwijkerhout, The …, 2003 | 223 | 2003 |