| Infiagent-dabench: Evaluating agents on data analysis tasks X Hu, Z Zhao, S Wei, Z Chai, G Wang, X Wang, J Su, J Xu, M Zhu, ... ICML 24, 2024 | 7 | 2024 |
| LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild Z Zhao, L Gan, G Wang, W Zhou, H Yang, K Kuang, F Wu Findings of ACL 2024, 2024 | 3 | 2024 |
| Differentiated matching for individual and average treatment effect estimation Z Ziyu, K Kuang, B Li, P Cui, R Wu, J Xiao, F Wu Data Mining and Knowledge Discovery 37 (1), 205-227, 2023 | 2 | 2023 |
| Learning individual treatment effects under heterogeneous interference in networks Z Zhao, K Kuang, R Xiong, F Wu Transactions on Knowledge Discovery from Data, 2022 | 1 | 2022 |
| Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning Z Zhao, L Gan, G Wang, Y Hu, T Shen, H Yang, K Kuang, F Wu arXiv preprint arXiv:2406.16989, 2024 | | 2024 |
| De-biased Attention Supervision for Text Classification with Causality Y Wu, Y Liu, Z Zhao, W Lu, Y Zhang, C Sun, F Wu, K Kuang Proceedings of the AAAI Conference on Artificial Intelligence 38 (17), 19279 …, 2024 | | 2024 |
| Estimating Treatment Effect via Differentiated Confounder Matching Z Ziyu, K Kuang, F Wu Artificial Intelligence: First CAAI International Conference, CICAI 2021 …, 2021 | | 2021 |
| FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning T Shen, Z Li, Y Li, Z Zhao, F Zhang, S Zhang, K Kuang, C Wu, F Wu | | |
