Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 285* | 2022 |
GraphFormers: GNN-nested transformers for representation learning on textual graph J Yang, Z Liu, S Xiao, C Li, D Lian, S Agrawal, A Singh, G Sun, X Xie Advances in Neural Information Processing Systems 34, 28798-28810, 2021 | 107 | 2021 |
The united states covid-19 forecast hub dataset EY Cramer, Y Huang, Y Wang, EL Ray, M Cornell, J Bracher, A Brennen, ... Scientific data 9 (1), 462, 2022 | 93 | 2022 |
Adversarial Learning for Weakly-Supervised Social Network Alignment C Li, S Wang, Y Wang, PS Yu, Y Liang, Y Liu, Z Li AAAI 2019, 2019 | 93 | 2019 |
Learning on large-scale text-attributed graphs via variational inference J Zhao, M Qu, C Li, H Yan, Q Liu, R Li, X Xie, J Tang arXiv preprint arXiv:2210.14709, 2022 | 92 | 2022 |
PPNE: property preserving network embedding C Li, S Wang, D Yang, Z Li, Y Yang, X Zhang, J Zhou Database Systems for Advanced Applications: 22nd International Conference …, 2017 | 79 | 2017 |
Visual-textual sentiment classification with bi-directional multi-level attention networks J Xu, F Huang, X Zhang, S Wang, C Li, Z Li, Y He Knowledge-Based Systems 178, 61-73, 2019 | 71 | 2019 |
Sentiment analysis of social images via hierarchical deep fusion of content and links J Xu, F Huang, X Zhang, S Wang, C Li, Z Li, Y He Applied Soft Computing 80, 387-399, 2019 | 62 | 2019 |
From properties to links: Deep network embedding on incomplete graphs D Yang, S Wang, C Li, X Zhang, Z Li Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 59 | 2017 |
Efficiently leveraging multi-level user intent for session-based recommendation via atten-mixer network P Zhang, J Guo, C Li, Y Xie, JB Kim, Y Zhang, X Xie, H Wang, S Kim Proceedings of the sixteenth ACM international conference on web search and …, 2023 | 58 | 2023 |
Gophormer: Ego-graph transformer for node classification J Zhao, C Li, Q Wen, Y Wang, Y Liu, H Sun, X Xie, Y Ye arXiv preprint arXiv:2110.13094, 2021 | 58 | 2021 |
Distribution distance minimization for unsupervised user identity linkage C Li, S Wang, PS Yu, L Zheng, X Zhang, Z Li, Y Liang Proceedings of the 27th ACM international conference on information and …, 2018 | 57 | 2018 |
Dual self-attention with co-attention networks for visual question answering Y Liu, X Zhang, Q Zhang, C Li, F Huang, X Tang, Z Li Pattern Recognition 117, 107956, 2021 | 54 | 2021 |
Reinforcement subgraph reasoning for fake news detection R Yang, X Wang, Y Jin, C Li, J Lian, X Xie Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 50 | 2022 |
Adsgnn: Behavior-graph augmented relevance modeling in sponsored search C Li, B Pang, Y Liu, H Sun, Z Liu, X Xie, T Yang, Y Cui, L Zhang, Q Zhang Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 50 | 2021 |
Social image sentiment analysis by exploiting multimodal content and heterogeneous relations J Xu, Z Li, F Huang, C Li, SY Philip IEEE Transactions on Industrial Informatics 17 (4), 2974-2982, 2020 | 48 | 2020 |
Learning with noisy labels for sentence-level sentiment classification H Wang, B Liu, C Li, Y Yang, T Li arXiv preprint arXiv:1909.00124, 2019 | 43 | 2019 |
House: Knowledge graph embedding with householder parameterization R Li, J Zhao, C Li, D He, Y Wang, Y Liu, H Sun, S Wang, W Deng, Y Shen, ... International conference on machine learning, 13209-13224, 2022 | 42 | 2022 |
Partially shared adversarial learning for semi-supervised multi-platform user identity linkage C Li, S Wang, H Wang, Y Liang, PS Yu, Z Li, W Wang Proceedings of the 28th ACM international conference on information and …, 2019 | 38 | 2019 |
Multimodal network embedding via attention based multi-view variational autoencoder F Huang, X Zhang, C Li, Z Li, Y He, Z Zhao Proceedings of the 2018 ACM on international conference on multimedia …, 2018 | 37 | 2018 |