| Numb family proteins are essential for cardiac morphogenesis and progenitor differentiation C Zhao, H Guo, J Li, T Myint, W Pittman, L Yang, W Zhong, RJ Schwartz, ... Development 141 (2), 281-295, 2014 | 65 | 2014 |
| VSCL: Automating Vulnerability Detection in Smart Contracts with Deep Learning F Mi, Z Wang, C Zhao, J Guo, F Ahmed, L Khan IEEE International Conference on Blockchain and Cryptocurrency (ICBC 2021), 2021 | 33 | 2021 |
| Fairness-Aware Online Meta-learning C Zhao, F Chen, B Thuraisingham Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and …, 2021 | 25 | 2021 |
| Fair meta-learning for few-shot classification C Zhao, C Li, J Li, F Chen 2020 IEEE international conference on knowledge graph (ICKG), 275-282, 2020 | 25 | 2020 |
| Rank-based multi-task learning for fair regression C Zhao, F Chen 2019 IEEE International Conference on Data Mining (ICDM), 916-925, 2019 | 25 | 2019 |
| CDC42 is required for epicardial and pro-epicardial development by mediating FGF receptor trafficking to the plasma membrane J Li, L Miao, C Zhao, WM Shaikh Qureshi, D Shieh, H Guo, Y Lu, S Hu, ... Development 144 (9), 1635-1647, 2017 | 25 | 2017 |
| Programmed stimuli-responsive carbon dot-nanogel hybrids for imaging-guided enhanced tumor phototherapy C Zhao, S Sun, S Li, A Lv, Q Chen, K Jiang, Z Jiang, Z Li, A Wu, H Lin ACS Applied Materials & Interfaces 14 (8), 10142-10153, 2022 | 21 | 2022 |
| Unfairness discovery and prevention for few-shot regression C Zhao, F Chen 2020 IEEE International Conference on Knowledge Graph (ICKG), 137-144, 2020 | 19 | 2020 |
| CLEAR: Contrastive-Prototype Learning with Drift Estimation for Resource Constrained Stream Minin Z Wang, C Yuqiao, C Zhao, H Tao, Y Lin, X Zhao, Y Wang, L Khan The Web Conference 2021 (WWW), 2021 | 18 | 2021 |
| A Primal-Dual Subgradient Approach for Fair Meta Learning C Zhao, F Chen, Z Wang, L Khan 2020 IEEE International Conference on Data Mining (ICDM), 2020 | 14 | 2020 |
| Adaptive Fairness-Aware Online Meta-Learning for Changing Environments C Zhao, F Mi, X Wu, K Jiang, L Khan, F Chen Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 12 | 2022 |
| A reweighted meta learning framework for robust few shot learning K Killamsetty, C Li, C Zhao, R Iyer, F Chen NeurIPS Workshop on Meta- Learning (MetaLearn), 2020 | 9 | 2020 |
| Open Set Action Recognition via Multi-Label Evidential Learning C Zhao, D Du, A Hoogs, C Funk Proceedings of the 34th IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| A Nested Bi-level Optimization Framework for Robust Few Shot Learning K Killamsetty, C Li, C Zhao, F Chen, RK Iyer 36th AAAI Conference on Artificial Intelligence, 2022 | 8 | 2022 |
| Fairness-Aware Multi-Task and Meta Learning C Zhao The University of Texas at Dallas, 2021 | 5 | 2021 |
| An Automated Vulnerability Detection Framework for Smart Contracts F Mi, C Zhao, Z Wang, SMD Halim, X Li, Z Wu, L Khan, B Thuraisingham arXiv preprint arXiv:2301.08824, 2023 | 4 | 2023 |
| Towards Fair Disentangled Online Learning for Changing Environments C Zhao, F Mi, X Wu, K Jiang, L Khan, CE Grant, F Chen Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 3 | 2023 |
| Layer Adaptive Deep Neural Networks for Out-of-distribution Detection H Wang, C Zhao, X Zhao, F Chen The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining …, 2022 | 3 | 2022 |
| Fairness-Aware Domain Generalization under Covariate and Dependence Shifts C Zhao, K Jiang, X Wu, H Wang, L Khan, C Grant, F Chen arXiv:2311.13816, 2023 | 2 | 2023 |
| Pursuing Counterfactual Fairness via Sequential Autoencoder Across Domains Y Lin, C Zhao, M Shao, B Meng, X Zhao, H Chen arXiv:2309.13005, 2023 | 2 | 2023 |
Feng ChenDepartment of Computer Science, UT DallasVerified email at utdallas.edu
