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Siqi Sun
Siqi Sun
Associate Professor; Fudan University, Shanghai AI Lab
Verified email at fudan.edu.cn - Homepage
Title
Cited by
Cited by
Year
Dialogpt: Large-scale generative pre-training for conversational response generation
Y Zhang, S Sun, M Galley, YC Chen, C Brockett, X Gao, J Gao, J Liu, ...
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2019
12912019
Accurate de novo prediction of protein contact map by ultra-deep learning model
S Wang, S Sun, Z Li, R Zhang, J Xu
PLoS computational biology 13 (1), e1005324, 2017
9542017
Patient knowledge distillation for bert model compression
S Sun, Y Cheng, Z Gan, J Liu
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
7422019
Freelb: Enhanced adversarial training for natural language understanding
C Zhu, Y Cheng, Z Gan, S Sun, T Goldstein, J Liu
International Conference on Learning Representations (ICLR), 2019
4292019
Hierarchical graph network for multi-hop question answering
Y Fang, S Sun, Z Gan, R Pillai, S Wang, J Liu
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
1962019
A brief overview of ChatGPT: The history, status quo and potential future development
T Wu, S He, J Liu, S Sun, K Liu, QL Han, Y Tang
IEEE/CAA Journal of Automatica Sinica 10 (5), 1122-1136, 2023
1602023
Analysis of deep learning methods for blind protein contact prediction in CASP12
S Wang, S Sun, J Xu
Proteins: Structure, Function, and Bioinformatics 86, 67-77, 2018
982018
Microsoft dialogue challenge: Building end-to-end task-completion dialogue systems
X Li, Y Wang, S Sun, S Panda, J Liu, J Gao
arXiv preprint arXiv:1807.11125, 2018
892018
Training data is more valuable than you think: A simple and effective method by retrieving from training data
S Wang, Y Xu, Y Fang, Y Liu, S Sun, R Xu, C Zhu, M Zeng
arXiv preprint arXiv:2203.08773, 2022
792022
Lightningdot: Pre-training visual-semantic embeddings for real-time image-text retrieval
S Sun, YC Chen, L Li, S Wang, Y Fang, J Liu
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
772021
Contrastive Distillation on Intermediate Representations for Language Model Compression
S Sun, Z Gan, Y Cheng, Y Fang, S Wang, J Liu
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
542020
Cluster-former: Clustering-based sparse transformer for long-range dependency encoding
S Wang, L Zhou, Z Gan, YC Chen, Y Fang, S Sun, Y Cheng, J Liu
arXiv preprint arXiv:2009.06097, 2020
48*2020
Human parity on commonsenseqa: Augmenting self-attention with external attention
Y Xu, C Zhu, S Wang, S Sun, H Cheng, X Liu, J Gao, P He, M Zeng, ...
arXiv preprint arXiv:2112.03254, 2021
442021
RetGen: A joint framework for retrieval and grounded text generation modeling
Y Zhang, S Sun, X Gao, Y Fang, C Brockett, M Galley, J Gao, B Dolan
Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11739 …, 2022
43*2022
Filter: An enhanced fusion method for cross-lingual language understanding
Y Fang, S Wang, Z Gan, S Sun, J Liu
Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 12776 …, 2021
432021
AUC-maximized deep convolutional neural fields for protein sequence labeling
S Wang, S Sun, J Xu
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016
36*2016
International Conference on Learning Representations
X Zhu, Y Cheng, Z Gan, S Sun, T Goldstein, J Liu
322020
E2Efold-3D: end-to-end deep learning method for accurate de novo RNA 3D structure prediction
T Shen, Z Hu, Z Peng, J Chen, P Xiong, L Hong, L Zheng, Y Wang, I King, ...
arXiv preprint arXiv:2207.01586, 2022
302022
Learning structured densities via infinite dimensional exponential families
S Sun, M Kolar, J Xu
Advances in neural information processing systems 28, 2015
292015
Interpretable RNA foundation model from unannotated data for highly accurate RNA structure and function predictions
J Chen, Z Hu, S Sun, Q Tan, Y Wang, Q Yu, L Zong, L Hong, J Xiao, ...
bioRxiv, 2022.08. 06.503062, 2022
222022
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