| Knowledge embedding based graph convolutional network D Yu, Y Yang, R Zhang, Y Wu Proceedings of the web conference 2021, 1619-1628, 2021 | 115 | 2021 |
| Graph-revised convolutional network D Yu, R Zhang, Z Jiang, Y Wu, Y Yang Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 105 | 2021 |
| Sotopia: Interactive evaluation for social intelligence in language agents X Zhou, H Zhu, L Mathur, R Zhang, H Yu, Z Qi, LP Morency, Y Bisk, ... arXiv preprint arXiv:2310.11667, 2023 | 60 | 2023 |
| Long-tailed extreme multi-label text classification by the retrieval of generated pseudo label descriptions R Zhang, YS Wang, Y Yang, D Yu, T Vu, L Lei Findings of the Association for Computational Linguistics: EACL 2023, 1092-1106, 2023 | 16* | 2023 |
| Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward R Zhang, L Gui, Z Sun, Y Feng, K Xu, Y Zhang, D Fu, C Li, A Hauptmann, ... arXiv preprint arXiv:2404.01258, 2024 | 15* | 2024 |
| Generalized multi-relational graph convolution network D Yu, Y Yang, R Zhang, Y Wu arXiv, 07331, 2020 | 11 | 2020 |
| PESCO: prompt-enhanced self contrastive learning for zero-shot text classification YS Wang, TC Chi, R Zhang, Y Yang arXiv preprint arXiv:2305.14963, 2023 | 9 | 2023 |
| Correlation-aware change-point detection via graph neural networks R Zhang, Y Hao, D Yu, WC Chang, G Lai, Y Yang Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020 | 5 | 2020 |
| Learning relation entailment with structured and textual information Z Jiang, J Araki, D Yu, R Zhang, W Xu, Y Yang, G Neubig Automated Knowledge Base Construction, 2020 | 5 | 2020 |
| Correlation-aware unsupervised change-point detection via graph neural networks R Zhang, Y Hao, D Yu, WC Chang, G Lai, Y Yang arXiv preprint arXiv:2004.11934, 2020 | 4* | 2020 |
| Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLM R Zhang, YS Wang, Y Yang arXiv preprint arXiv:2304.11872, 2023 | 3 | 2023 |
| Exploiting local and global features in transformer-based extreme multi-label text classification R Zhang, YS Wang, Y Yang, T Vu, L Lei arXiv preprint arXiv:2204.00933, 2022 | 2 | 2022 |
| A Self-enhancement Approach for Domain-specific Chatbot Training via Knowledge Mining and Digest R Zhang, L Gao, C Zheng, Z Fan, G Lai, Z Zhang, F Ai, Y Yang, H Yang https://arxiv.org/abs/2311.10614, 2023 | 1 | 2023 |
| Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLM R Zhang, YS Wang, Y Yang arXiv preprint arXiv:2304.11872, 2023 | | 2023 |
| Semi-supervised Open Domain Information Extraction with Conditional VAE Z Jiang, S Ge, R Zhang, D Yu | | 2019 |
Yiming YangProfessor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
