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Song Jiang
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Layer-dependent importance sampling for training deep and large graph convolutional networks
D Zou, Z Hu, Y Wang, S Jiang, Y Sun, Q Gu
Advances in neural information processing systems 32, 2019
2982019
LLM-Rec: Personalized Recommendation via Prompting Large Language Models
H Lyu, S Jiang, H Zeng, Q Wang, S Zhang, R Chen, C Leung, J Tang, ...
arXiv preprint arXiv:2307.15780, 2023
382023
HINTS: citation time series prediction for new publications via dynamic heterogeneous information network embedding
S Jiang, B Koch, Y Sun
Proceedings of the Web Conference 2021, 3158-3167, 2021
332021
Estimating Causal Effects on Networked Observational Data via Representation Learning
S Jiang, Y Sun
Proceedings of the 31st ACM International Conference on Information …, 2022
182022
Deep learning of potential outcomes
B Koch, T Sainburg, P Geraldo, S Jiang, Y Sun, JG Foster
arXiv preprint arXiv:2110.04442, 2021
162021
Learning probabilities of causation from finite population data
A Li, S Jiang, Y Sun, J Pearl
arXiv preprint arXiv:2210.08453, 2022
82022
Cf-gode: Continuous-time causal inference for multi-agent dynamical systems
S Jiang, Z Huang, X Luo, Y Sun
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
72023
A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings
S Jiang, Q Yao, Q Wang, Y Sun
Proceedings of the ACM Web Conference 2023, 2467-2476, 2023
72023
Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models
S Jiang, Z Shakeri, A Chan, M Sanjabi, H Firooz, Y Xia, B Akyildiz, Y Sun, ...
arXiv preprint arXiv:2310.04743, 2023
52023
Unit selection: Learning benefit function from finite population data
A Li, S Jiang, Y Sun, J Pearl
arXiv preprint arXiv:2210.08203, 2022
52022
Care: Modeling interacting dynamics under temporal environmental variation
X Luo, H Wang, Z Huang, H Jiang, A Gangan, S Jiang, Y Sun
Advances in Neural Information Processing Systems 36, 2024
42024
Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting
S Jiang, T Syed, X Zhu, J Levy, B Aronchik, Y Sun
Proceedings of the 31st ACM International Conference on Information …, 2022
32022
Chordal-GCN: Exploiting sparsity in training large-scale graph convolutional networks
X Jiang, K Cheng, S Jiang, Y Sun
12019
On the Equivalence of Graph Convolution and Mixup
X Han, H Zeng, Y Chen, S Nie, J Liu, K Narang, Z Shakeri, ...
arXiv preprint arXiv:2310.00183, 2023
2023
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