Ziyu Zhao

According to our database, Ziyu Zhao authored at least 21 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning.

Tao Shen, Zexi Li, Didi Zhu, Ziyu Zhao, Chao Wu, Fei Wu

CoRR, August, 2025

OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use.

Xueyu Hu, Tao Xiong, Biao Yi, Zishu Wei, Ruixuan Xiao, Yurun Chen, Jiasheng Ye, Meiling Tao, Xiangxin Zhou, Ziyu Zhao, Yuhuai Li, Shengze Xu, Shenzhi Wang, Xinchen Xu, Shuofei Qiao, Zhaokai Wang, Kun Kuang, Tieyong Zeng, Liang Wang, Jiwei Li, Yuchen Eleanor Jiang, Wangchunshu Zhou, Guoyin Wang, Keting Yin, Zhou Zhao, Hongxia Yang, Fan Wu, Shengyu Zhang, Fei Wu

CoRR, August, 2025

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices.

Tao Shen, Didi Zhu, Ziyu Zhao, Chao Wu, Fei Wu

CoRR, March, 2025

Networked Instrumental Variable for Treatment Effect Estimation With Unobserved Confounders.

Ziyu Zhao, Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Zhihua Wang, Fei Wu

IEEE Trans. Knowl. Data Eng., February, 2025

Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning.

Ziyu Zhao, Yixiao Zhou, Didi Zhu, Tao Shen, Xuwu Wang, Jing Su, Kun Kuang, Zhongyu Wei, Fei Wu, Yu Cheng

CoRR, January, 2025

REMEDY: Recipe Merging Dynamics in Large Vision-Language Models.

Didi Zhu, Yibing Song, Tao Shen, Ziyu Zhao, Jinluan Yang, Min Zhang, Chao Wu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering.

Ziyu Zhao, Tao Shen, Didi Zhu, Zexi Li, Jing Su, Xuwu Wang, Fei Wu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use.

Xueyu Hu, Tao Xiong, Biao Yi, Zishu Wei, Ruixuan Xiao, Yurun Chen, Jiasheng Ye, Meiling Tao, Xiangxin Zhou, Ziyu Zhao, Yuhuai Li, Shengze Xu, Shenzhi Wang, Xinchen Xu, Shuofei Qiao, Zhaokai Wang, Kun Kuang, Tieyong Zeng, Liang Wang, Jiwei Li, Yuchen Eleanor Jiang, Wangchunshu Zhou, Guoyin Wang, Keting Yin, Zhou Zhao, Hongxia Yang, Fan Wu, Shengyu Zhang, Fei Wu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Learning Individual Treatment Effects under Heterogeneous Interference in Networks.

Ziyu Zhao, Yuqi Bai, Ruoxuan Xiong, Qingyu Cao, Chao Ma, Ning Jiang, Fei Wu, Kun Kuang

ACM Trans. Knowl. Discov. Data, September, 2024

Deconfounded hierarchical multi-granularity classification.

Ziyu Zhao, Leilei Gan, Tao Shen, Kun Kuang, Fei Wu

Comput. Vis. Image Underst., 2024

Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering.

Ziyu Zhao, Tao Shen, Didi Zhu, Zexi Li, Jing Su, Xuwu Wang, Kun Kuang, Fei Wu

CoRR, 2024

IntOPE: Off-Policy Evaluation in the Presence of Interference.

Yuqi Bai, Ziyu Zhao, Minqin Zhu, Kun Kuang

CoRR, 2024

Causal Agent based on Large Language Model.

Kairong Han, Kun Kuang, Ziyu Zhao, Junjian Ye, Fei Wu

CoRR, 2024

Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning.

Ziyu Zhao, Leilei Gan, Guoyin Wang, Yuwei Hu, Tao Shen, Hongxia Yang, Kun Kuang, Fei Wu

CoRR, 2024

InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks.

Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Kun Kuang, Yang Yang, Hongxia Yang, Fei Wu

CoRR, 2024

InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks.

Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Qianli Ma, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Jiwei Li, Kun Kuang, Yang Yang, Hongxia Yang, Fei Wu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild.

Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

De-biased Attention Supervision for Text Classification with Causality.

Yiquan Wu, Yifei Liu, Ziyu Zhao, Weiming Lu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Differentiated matching for individual and average treatment effect estimation.

Ziyu Zhao, Kun Kuang, Bo Li, Peng Cui, Runze Wu, Jun Xiao, Fei Wu

Data Min. Knowl. Discov., 2023

2022

Learning Individual Treatment Effects under Heterogeneous Interference in Networks.

Ziyu Zhao, Kun Kuang, Ruoxuan Xiong, Fei Wu

CoRR, 2022

2021

Estimating Treatment Effect via Differentiated Confounder Matching.

Ziyu Zhao, Kun Kuang, Fei Wu

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021