| Automix: Unveiling the power of mixup for stronger classifiers Z Liu, S Li, D Wu, Z Liu, Z Chen, L Wu, SZ Li European Conference on Computer Vision, 441-458, 2022 | 65 | 2022 |
| A global path planning algorithm for robots using reinforcement learning P Gao, Z Liu, Z Wu, D Wang 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1693 …, 2019 | 40 | 2019 |
| Towards reasonable budget allocation in untargeted graph structure attacks via gradient debias Z Liu, Y Luo, L Wu, Z Liu, SZ Li NeurIPS 2022, 2023 | 19 | 2023 |
| Boosting discriminative visual representation learning with scenario-agnostic mixup S Li, Z Liu, Z Wang, D Wu, Z Liu, SZ Li arXiv preprint arXiv:2111.15454, 2021 | 19 | 2021 |
| Exploiting Sentiment and Common Sense for Zero-shot Stance Detection Y Luo, Z Liu, Y Shi, SZ Li, Y Zhang Proceedings of the 29th International Conference on Computational Linguistics, 2022 | 17 | 2022 |
| Are Gradients on Graph Structure Reliable in Gray-box Attacks? Z Liu, Y Luo, L Wu, S Li, Z Liu, SZ Li CIKM 2022, 1360-1368, 2022 | 13 | 2022 |
| Mere contrastive learning for cross-domain sentiment analysis Y Luo, F Guo, Z Liu, Y Zhang Proceedings of the 29th International Conference on Computational Linguistics, 2022 | 12 | 2022 |
| Homophily-enhanced self-supervision for graph structure learning: Insights and directions L Wu, H Lin, Z Liu, Z Liu, Y Huang, SZ Li IEEE Transactions on Neural Networks and Learning Systems, 2023 | 11 | 2023 |
| Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks Z Liu, Y Luo, Z Zang, SZ Li WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web …, 2022 | 10 | 2022 |
| Improved speaker and navigator for vision-and-language navigation Z Wu, Z Liu, T Wang, D Wang IEEE MultiMedia 28 (4), 55-63, 2021 | 9 | 2021 |
| Improving (dis) agreement detection with inductive social relation information from comment-reply interactions Y Luo, Z Liu, SZ Li, Y Zhang Proceedings of the ACM Web Conference 2023, 1584-1593, 2023 | 5 | 2023 |
| Protein 3d graph structure learning for robust structure-based protein property prediction Y Huang, S Li, L Wu, J Su, H Lin, O Zhang, Z Liu, Z Gao, J Zheng, SZ Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12662 …, 2024 | 4 | 2024 |
| Deep Learning Empowers the Discovery of Self‐Assembling Peptides with Over 10 Trillion Sequences J Wang, Z Liu, S Zhao, T Xu, H Wang, SZ Li, W Li Advanced Science 10 (31), 2301544, 2023 | 4 | 2023 |
| Research on Non-Intrusive Load Monitoring Method Based on Feature Difference Enhancement W Min, Z Yidi, Z Shuang, Z Yaopeng, L Zihan, F Hui Integrated Ferroelectrics 210 (1), 128-141, 2020 | 4 | 2020 |
| Learning to augment graph structure for both homophily and heterophily graphs L Wu, C Tan, Z Liu, Z Gao, H Lin, SZ Li Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 3 | 2023 |
| Unveiling the power of mixup for stronger classifiers Z Liu, S Li, D Wu, Z Chen, L Wu, J Guo, SZ Li arXiv preprint arXiv:2103.13027 2 (3), 2021 | 2 | 2021 |
| Efficient prediction of peptide self-assembly through sequential and graphical encoding Z Liu, J Wang, Y Luo, S Zhao, W Li, SZ Li Briefings in Bioinformatics 24 (6), bbad409, 2023 | 1 | 2023 |
| Co-modeling the sequential and graphical route for peptide Z Liu, G Wang, J Wang, J Zheng, SZ Li arXiv preprint arXiv:2310.02964, 2023 | 1 | 2023 |
| What does the gradient tell when attacking the graph structure Z Liu, G Wang, Y Luo, SZ Li arXiv preprint arXiv:2208.12815, 2022 | 1 | 2022 |
| Multi-grounding navigator for self-supervised vision-and-language navigation Z Wu, Z Liu, D Wang 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 1 | 2021 |
