| Tool learning with foundation models Y Qin, S Hu, Y Lin, W Chen, N Ding, G Cui, Z Zeng, Y Huang, C Xiao, ... arXiv preprint arXiv:2304.08354, 2023 | 159 | 2023 |
| A deep-learning system bridging molecule structure and biomedical text with comprehension comparable to human professionals Z Zeng, Y Yao, Z Liu, M Sun Nature communications 13 (1), 862, 2022 | 77 | 2022 |
| Knowledge transfer via pre-training for recommendation: A review and prospect Z Zeng, C Xiao, Y Yao, R Xie, Z Liu, F Lin, L Lin, M Sun Frontiers in big Data 4, 602071, 2021 | 42 | 2021 |
| Spatial-temporal ConvLSTM for vehicle driving intention prediction H Huang, Z Zeng, D Yao, X Pei, Y Zhang Tsinghua Science and Technology 27 (3), 599-609, 2021 | 32 | 2021 |
| Interactive molecular discovery with natural language Z Zeng, B Yin, S Wang, J Liu, C Yang, H Yao, X Sun, M Sun, G Xie, Z Liu arXiv preprint arXiv:2306.11976, 2023 | 11 | 2023 |
| Cuge: A chinese language understanding and generation evaluation benchmark Y Yao, Q Dong, J Guan, B Cao, Z Zhang, C Xiao, X Wang, F Qi, J Bao, ... arXiv preprint arXiv:2112.13610, 2021 | 11 | 2021 |
| Conpet: Continual parameter-efficient tuning for large language models C Song, X Han, Z Zeng, K Li, C Chen, Z Liu, M Sun, T Yang arXiv preprint arXiv:2309.14763, 2023 | 8 | 2023 |
| Sqe: a self quality evaluation metric for parameters optimization in multi-object tracking Y Huang, F Zhu, Z Zeng, X Qiu, Y Shen, J Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 8 | 2020 |
| Robotic occlusion reasoning for efficient object existence prediction M Li, C Weber, M Kerzel, JH Lee, Z Zeng, Z Liu, S Wermter 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 7 | 2021 |
| Tool learning with foundation models. CoRR, abs/2304.08354, 2023. doi: 10.48550 Y Qin, S Hu, Y Lin, W Chen, N Ding, G Cui, Z Zeng, Y Huang, C Xiao, ... arXiv preprint arXiv.2304.08354, 0 | 5 | |
| Descriptor-augmented machine learning for enzyme-chemical interaction predictions Y Han, H Zhang, Z Zeng, Z Liu, D Lu, Z Liu Synthetic and Systems Biotechnology, 2024 | | 2024 |
| Ten Key Problems of Pre-trained Models: An Outlook of Representation Learning N Ding, W Chen, Z Zhang, S Hu, G Cui, Y Yao, Y Qin, Z Zeng, X Han, ... Representation Learning for Natural Language Processing, 491, 2023 | | 2023 |
| Biomedical Knowledge Representation Learning Z Zeng, Z Liu, Y Lin, M Sun Representation Learning for Natural Language Processing, 433-462, 2023 | | 2023 |
| Transcription between human-readable synthetic descriptions and machine-executable instructions: an application of the latest pre-training technology Z Zeng, YC Nie, N Ding, QJ Ding, WT Ye, C Yang, M Sun, E Weinan, ... Chemical Science 14 (35), 9360-9373, 2023 | | 2023 |
| A Framework for Driving Intention Estimation in Real-World Scenarios H Huang, Z Zeng, Y Shangguan, D Yao, J Du CICTP 2020, 4361-4373, 2020 | | 2020 |
| Relation-Aware Deep Neural Network Enables More Efficient Biomedical Knowledge Acquisition from Massive Literature C Song, Z Zeng, C Tian, K Li, Y Yao, S Zheng, Z Liu, M Sun Available at SSRN 4691129, 0 | | |
