| Benchmarking Large Language Models on CMExam--A Comprehensive Chinese Medical Exam Dataset J Liu, P Zhou, Y Hua, D Chong, Z Tian, A Liu, H Wang, C You, Z Guo, ... Advances in Neural Information Processing Systems 36, 2023 | 85 | 2023 |
| Masked spectrogram prediction for self-supervised audio pre-training D Chong, H Wang, P Zhou, Q Zeng ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 63 | 2023 |
| Environmental sound classification with parallel temporal-spectral attention H Wang, Y Zou, D Chong, W Wang Interspeech 2020, 2019 | 59 | 2019 |
| Qilin-med-vl: Towards chinese large vision-language model for general healthcare J Liu, Z Wang, Q Ye, D Chong, P Zhou, Y Hua arXiv preprint arXiv:2310.17956, 2023 | 55 | 2023 |
| Qilin-med: Multi-stage knowledge injection advanced medical large language model Q Ye, J Liu, D Chong, P Zhou, Y Hua, F Liu, M Cao, Z Wang, X Cheng, ... arXiv preprint arXiv:2310.09089, 2023 | 39 | 2023 |
| Llmrec: Benchmarking large language models on recommendation task J Liu, C Liu, P Zhou, Q Ye, D Chong, K Zhou, Y Xie, Y Cao, S Wang, ... arXiv preprint arXiv:2308.12241, 2023 | 34 | 2023 |
| Acoustic scene classification with multiple decision schemes H Wang, D Chong, Y Zou Tech. Rep., DCASE2020 Challenge, 2020 | 30* | 2020 |
| METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets P Zhou, Z Wang, D Chong, Z Guo, Y Hua, Z Su, Z Teng, J Wu, J Yang Advances in Neural Information Processing Systems 35, 21916-21932, 2022 | 24 | 2022 |
| GreenPLM: Cross-lingual pre-trained language models conversion with (almost) no cost Q Zeng, L Garay, P Zhou, D Chong, Y Hua, J Wu, Y Pan, H Zhou, J Yang International Joint Conferences on Artificial Intelligence (IJCAI), 2023 | 18* | 2023 |
| Multi-channel convolutional neural networks with multi-level feature fusion for environmental sound classification D Chong, Y Zou, W Wang MultiMedia Modeling: 25th International Conference, MMM 2019, Thessaloniki …, 2019 | 17 | 2019 |
| Modeling label dependencies for audio tagging with graph convolutional network H Wang, Y Zou, D Chong, W Wang IEEE Signal Processing Letters 27, 1560-1564, 2020 | 15 | 2020 |
| What affects the performance of convolutional neural networks for audio event classification H Wang, D Chong, D Huang, Y Zou 2019 8th International Conference on Affective Computing and Intelligent …, 2019 | 14 | 2019 |
| Automated audio captioning with temporal attention H Wang, B Yang, Y Zou, D Chong DCASE2020 Challenge, Tech. Rep., 2020 | 13 | 2020 |
| Simplespeech 2: Towards simple and efficient text-to-speech with flow-based scalar latent transformer diffusion models D Yang, R Huang, Y Wang, H Guo, D Chong, S Liu, X Wu, H Meng arXiv preprint arXiv:2408.13893, 2024 | 7 | 2024 |
| Calibrate and Refine! A Novel and Agile Framework for ASR-error Robust Intent Detection P Zhou, D Chong, H Wang, Q Zeng Interspeech 2022, 2022 | 5 | 2022 |
| TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models C Zhang, C Tang, D Chong, K Shi, G Tang, F Jiang, H Li arXiv preprint arXiv:2405.20215, 2024 | 3 | 2024 |
| Filter and evolve: progressive pseudo label refining for semi-supervised automatic speech recognition Z Jin, D Zhong, X Song, Z Liu, N Ye, Q Zeng arXiv preprint arXiv:2210.16318, 2022 | 3 | 2022 |
| Low-resource Accent Classification in Geographically-proximate Settings: A Forensic and Sociophonetics Perspective Q Zeng, D Chong, P Zhou, J Yang Interspeech 2022, 2022 | 3 | 2022 |
| Aligning language models using follow-up likelihood as reward signal C Zhang, D Chong, F Jiang, C Tang, A Gao, G Tang, H Li arXiv preprint arXiv:2409.13948, 2024 | 1 | 2024 |
| Multi-modal Adversarial Training for Zero-Shot Voice Cloning J Janiczek, D Chong, D Dai, A Faria, C Wang, T Wang, Y Liu INTERSPEECH 2024, 2024 | 1 | 2024 |
Peilin ZhouHKUST; Peking UniversityZweryfikowany adres z connect.hkust-gz.edu.cn
