| Hin: Hierarchical inference network for document-level relation extraction H Tang, Y Cao, Z Zhang, J Cao, F Fang, S Wang, P Yin PAKDD-20, Best Paper Award, 2020 | 124 | 2020 |
| Bipartite graph embedding via mutual information maximization J Cao, X Lin, S Guo, L Liu, T Liu, B Wang WSDM-21, 635-643, 2021 | 94 | 2021 |
| Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck J Cao, J Sheng, X Cong, T Liu, B Wang ICDE-22, 2022 | 57 | 2022 |
| DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation J Cao, X Lin, X Cong, J Ya, T Liu, B Wang SIGIR-22, 267-277, 2022 | 53 | 2022 |
| Contrastive Cross-Domain Sequential Recommendation J Cao, X Cong, J Sheng, T Liu, B Wang CIKM-22, 138-147, 2022 | 39 | 2022 |
| Disentangled Representations Learning for Multi-Target Cross-Domain Recommendation X Guo#, S Li, N Guo, J Cao#, X Liu, Q Ma, R Gan, Y Zhao TOIS-23, 2022 | 17 | 2022 |
| Towards Universal Cross-Domain Recommendation J Cao, S Li, B Yu, X Guo, T Liu, B Wang WSDM-23, 78-86, 2023 | 15 | 2023 |
| Deep structural point process for learning temporal interaction networks J Cao, X Lin, X Cong, S Guo, H Tang, T Liu, B Wang ECML/PKDD-21, 305-320, 2021 | 13 | 2021 |
| CorED: Incorporating Type-level and Instance-level Correlations for Fine-grained Event Detection J Sheng, R Sun, S Guo, S Cui, J Cao, L Wang, T Liu, H Xu SIGIR-22, 1122-1132, 2022 | 9 | 2022 |
| Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph Y Li*, J Cao*, X Cong, Z Zhang, B Yu, H Zhu, T Liu ACL-22, 1986-1996, 2022 | 9 | 2022 |
| Enhancing Multimodal Entity and Relation Extraction with Variational Information Bottleneck S Cui, J Cao, X Cong, J Sheng, Q Li, T Liu, J Shi IEEE TASLP-24, 2023 | 7 | 2023 |
| Item Similarity Mining for Multi-Market Recommendation J Cao, X Cong, T Liu, B Wang SIGIR-22, 2249-2254, 2022 | 7 | 2022 |
| Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences X Lin*, J Cao*, P Zhang, C Zhou, Z Li, J Wu, B Wang ICDM-21, 2021 | 7 | 2021 |
| Heterogeneous Graph Neural Networks for Query-focused Summarization J Ya, T Liu, J Cao, L Guo SDM-21, 720-728, 2021 | 3 | 2021 |
| Unsupervised resource-free entity discovery and linking in natural language questions S Guo, J Cao, Q Wang, L Wang, B Wang CCKS Technique Report-17, 1-6, 2017 | 1 | 2017 |
| Enhancing Content-based Recommendation via Large Language Model W Xu*, Q Xie*, S Yang*, J Cao#, S Pang# arXiv preprint arXiv:2404.00236, 2024 | | 2024 |
| CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process X Li, J Sheng, J Cao, W Zhang, Q Li, T Liu WSDM-24, 2024 | | 2024 |
| Representation and Labeling Gap Bridging for Cross-lingual Named Entity Recognition X Zhang, B Yu, J Cao, Q Li, X Wang, T Liu, H Xu SIGIR-23, 1230-1240, 2023 | | 2023 |
| ID-MixGCL: Identity Mixup for Graph Contrastive Learning G Zhang, B Yu, J Cao, X Zhang, T Liu, C Zhou IEEE Big Data-23, 2023 | | 2023 |
| Uncertain Relational Hypergraph Attention Networks for Document-Level Event Factuality Identification J Sheng, X Cong, J Cao, S Guo, C Li, L Wang, T Liu, H Xu ECAI-23, 2023 | | 2023 |
Tingwen LiuFull Professor of Institute of Information Engineering, Chinese Academy of SciencesVerified email at iie.ac.cn
