Siqi Sun
Siqi Sun
Associate Professor; Fudan University, Shanghai AI Lab
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
AUC-maximized deep convolutional neural fields for protein sequence labeling
S Wang, S Sun, J Xu
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016
Learning structured densities via infinite dimensional exponential families
S Sun, M Kolar, J Xu
Advances in neural information processing systems 28, 2015
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
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
An iterative network partition algorithm for accurate identification of dense network modules
S Sun, X Dong, Y Fu, W Tian
Nucleic Acids Research 40 (3), e18-e18, 2012
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
Inferring block structure of graphical models in exponential families
S Sun, H Wang, J Xu
Artificial Intelligence and Statistics, 939-947, 2015
Cross-Thought for Sentence Encoder Pre-training
S Wang, Y Fang, S Sun, Z Gan, Y Cheng, J Jiang, J Liu
Conference on Empirical Methods in Natural Language Processing (EMNLP), 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
Learning scale-free networks by dynamic node specific degree prior
Q Tang, S Sun, J Xu
International Conference on Machine Learning, 2247-2255, 2015
Adaptive variable clustering in Gaussian graphical models
S Sun, Y Zhu, J Xu
Artificial Intelligence and Statistics, 931-939, 2014
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