| Qwen technical report J Bai, S Bai, Y Chu, Z Cui, K Dang, X Deng, Y Fan, W Ge, Y Han, F Huang, ... arXiv preprint arXiv:2309.16609, 2023 | 1475 | 2023 |
| Motif-based graph self-supervised learning for molecular property prediction Z Zhang, Q Liu, H Wang, C Lu, CK Lee Advances in Neural Information Processing Systems 34, 15870-15882, 2021 | 280 | 2021 |
| Molecular property prediction: A multilevel quantum interactions modeling perspective C Lu, Q Liu, C Wang, Z Huang, P Lin, L He Proceedings of the AAAI conference on artificial intelligence 33 (01), 1052-1060, 2019 | 214 | 2019 |
| ASGN: An active semi-supervised graph neural network for molecular property prediction Z Hao, C Lu, Z Huang, H Wang, Z Hu, Q Liu, E Chen, C Lee Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 156 | 2020 |
| ProtGNN: Towards Self-Explaining Graph Neural Networks Z Zhang, Q Liu, H Wang, C Lu, C Lee Proceedings of the AAAI Conference on Artificial Intelligence 36, 2021 | 141 | 2021 |
| Graphmi: Extracting private graph data from graph neural networks Z Zhang, Q Liu, Z Huang, H Wang, C Lu, C Liu, E Chen Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 74 | 2021 |
| Deep learning for optoelectronic properties of organic semiconductors C Lu, Q Liu, Q Sun, CY Hsieh, S Zhang, L Shi, CK Lee The Journal of Physical Chemistry C 124 (13), 7048-7060, 2020 | 45 | 2020 |
| Transfer learning with graph neural networks for optoelectronic properties of conjugated oligomers CK Lee, C Lu, Y Yu, Q Sun, CY Hsieh, S Zhang, Q Liu, L Shi The Journal of Chemical Physics 154 (2), 2021 | 37 | 2021 |
| Qwen technical report. 2023 J Bai, S Bai, Y Chu, Z Cui, K Dang, X Deng, Y Fan, W Ge, Y Han, F Huang, ... arXiv preprint cs.CL/2309.16609, 2023 | 20 | 2023 |
| Learning to reweight for generalizable graph neural network Z Chen, T Xiao, K Kuang, Z Lv, M Zhang, J Yang, C Lu, H Yang, F Wu Proceedings of the AAAI conference on artificial intelligence 38 (8), 8320-8328, 2024 | 13 | 2024 |
| A graph-based author name disambiguation method and analysis via information theory Y Ma, Y Wu, C Lu Entropy 22 (4), 416, 2020 | 12 | 2020 |
| Knowledge distillation of transformer-based language models revisited C Lu, J Zhang, Y Chu, Z Chen, J Zhou, F Wu, H Chen, H Yang arXiv preprint arXiv:2206.14366, 2022 | 7 | 2022 |
| Vript: A Video Is Worth Thousands of Words D Yang, S Huang, C Lu, X Han, H Zhang, Y Gao, Y Hu, H Zhao arXiv preprint arXiv:2406.06040, 2024 | 6 | 2024 |
| Multi-task bioassay pre-training for protein-ligand binding affinity prediction J Yan, Z Ye, Z Yang, C Lu, S Zhang, Q Liu, J Qiu Briefings in Bioinformatics 25 (1), bbad451, 2024 | 5 | 2024 |
| Towards exploring large molecular space: An efficient chemical genetic algorithm JF Zhu, ZK Hao, Q Liu, Y Yin, CQ Lu, ZY Huang, EH Chen Journal of Computer Science and Technology 37 (6), 1464-1477, 2022 | 3 | 2022 |
| Deep Unified Representation for Heterogeneous Recommendation C Lu, M Yin, S Shen, L Ji, Q Liu, H Yang Proceedings of the ACM Web Conference 2022 (WWW '22), 2022 | 3 | 2022 |
| Learning to Reweight for Graph Neural Network Z Chen, T Xiao, K Kuang, Z Lv, M Zhang, J Yang, C Lu, H Yang, F Wu arXiv preprint arXiv:2312.12475, 2023 | 2 | 2023 |
Chee Kong LeeIBM Quantum在 ibm.com 的电子邮件经过验证
