| 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 | 28 | 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 | 20 | 2024 |
| Learning individual treatment effects under heterogeneous interference in networks Z Zhao, K Kuang, R Xiong, F Wu ACM Transactions on Knowledge Discovery from Data (TKDD), 2022 | 7 | 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 | 5 | 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 | 4 | 2023 |
| Merging loras like playing lego: Pushing the modularity of lora to extremes through rank-wise clustering Z Zhao, T Shen, D Zhu, Z Li, J Su, X Wang, K Kuang, F Wu arXiv preprint arXiv:2409.16167, 2024 | 3 | 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 | 3 | 2024 |
| Causal agent based on large language model K Han, K Kuang, Z Zhao, J Ye, F Wu arXiv preprint arXiv:2408.06849, 2024 | 2 | 2024 |
| Os agents: A survey on mllm-based agents for general computing devices use X Hu, T Xiong, B Yi, Z Wei, R Xiao, Y Chen, J Ye, M Tao, X Zhou, Z Zhao, ... Preprints, 2024 | 1 | 2024 |
| Estimating Treatment Effect via Differentiated Confounder Matching Z Ziyu, K Kuang, F Wu Artificial Intelligence: First CAAI International Conference, CICAI 2021 …, 2021 | 1 | 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 | 1 | |
| Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning Z Zhao, Y Zhou, D Zhu, T Shen, X Wang, J Su, K Kuang, Z Wei, F Wu, ... arXiv preprint arXiv:2501.15103, 2025 | | 2025 |
| Networked Instrumental Variable for Treatment Effect Estimation with Unobserved Confounders Z Zhao, A Wu, K Kuang, R Xiong, B Li, Z Wang, F Wu IEEE Transactions on Knowledge & Data Engineering (TKDE), 2024 | | 2024 |
| An Adaptive Aggregation Method for Federated Learning via Meta Controller T Shen, Z Li, Z Zhao, D Zhu, Z Lv, S Zhang, K Kuang, F Wu Proceedings of the 6th ACM International Conference on Multimedia in Asia …, 2024 | | 2024 |
| Deconfounded hierarchical multi-granularity classification Z Zhao, L Gan, T Shen, K Kuang, F Wu Computer Vision and Image Understanding 248, 104108, 2024 | | 2024 |
| IntOPE: Off-Policy Evaluation in the Presence of Interference Y Bai, Z Zhao, M Zhu, K Kuang arXiv preprint arXiv:2408.13484, 2024 | | 2024 |
