Published in AdaptNLP, 2021
Recommended citation: Chen T, Huang S, Wei F, et al. Pseudo-label guided unsupervised domain adaptation of contextual embeddings[C]//Proceedings of the Second Workshop on Domain Adaptation for NLP. 2021: 9-15.
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Published in ICASSP 2022, 2022
Recommended citation: Chen T, Xie Y, Zhang S, et al. Learning music sequence representation from text supervision[C]//ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022: 4583-4587.
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Published in AAAI 2022, 2022
Recommended citation: Xie Y, Huang S, Chen T, et al. Moec: Mixture of expert clusters[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2023, 37(11): 13807-13815.
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Published in ACL findings 2022, 2022
Recommended citation: THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption (Chen et al., Findings 2022)
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Published in Arxiv Preprint, 2022
Recommended citation: Chen T, Huang S, Xie Y, et al. Task-specific expert pruning for sparse mixture-of-experts[J]. arXiv preprint arXiv:2206.00277, 2022.
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Published in Arxiv Preprint, 2024
Recommended citation: Chen T, Zhou H, Li Y, et al. Building Flexible Machine Learning Models for Scientific Computing at Scale[J]. arXiv preprint arXiv:2402.16014, 2024.
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