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 | 288 | 2019 |
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 | 36 | 2023 |
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 | 31 | 2021 |
Deep learning of potential outcomes B Koch, T Sainburg, P Geraldo, S Jiang, Y Sun, JG Foster arXiv preprint arXiv:2110.04442, 2021 | 16 | 2021 |
Estimating Causal Effects on Networked Observational Data via Representation Learning S Jiang, Y Sun Proceedings of the 31st ACM International Conference on Information …, 2022 | 14 | 2022 |
Learning probabilities of causation from finite population data A Li, S Jiang, Y Sun, J Pearl arXiv preprint arXiv:2210.08453, 2022 | 8 | 2022 |
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 | 7 | 2023 |
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 | 6 | 2023 |
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 | 5 | 2023 |
Unit selection: Learning benefit function from finite population data A Li, S Jiang, Y Sun, J Pearl arXiv preprint arXiv:2210.08203, 2022 | 5 | 2022 |
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 | 3 | 2024 |
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 | 2 | 2022 |
Chordal-GCN: Exploiting sparsity in training large-scale graph convolutional networks X Jiang, K Cheng, S Jiang, Y Sun | 1 | 2019 |
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 |