Ziyu Zhao

32 papers A* 5Journal 21Unranked 6
YearRankTypeTitle / Venue / Authors
2026 — conf
Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-task Learning.
KDD (1)
Ziyu Zhao, Yixiao Zhou, Xin Yu, Zhi Zhang, Didi Zhu, Tao Shen, Zexi Li, Jinluan Yang, Xuwu Wang, Jing Su, Kun Kuang, Zhongyu Wei, Fei Wu, Yu Cheng
2026 J jnl
ExpertWeaver: Unlocking the Inherent MoE in Dense LLMs with GLU Activation Patterns.
CoRR
Ziyu Zhao, Tong Zhu, Zhiqiang Zhang, Tiantian Fan, Jinluan Yang, Kun Kuang, Zhongyu Wei, Fei Wu, Yu Cheng
2025 J jnl
C
CoRR
Kairong Han, Nuanqiao Shan, Ziyu Zhao, Zijing Hu, Xinpeng Dong, Junjian Ye, Lujia Pan, Fei Wu, Kun Kuang
2025 A* conf
CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models.
EMNLP
Kairong Han, Wenshuo Zhao, Ziyu Zhao, Ye Jun Jian, Lujia Pan, Kun Kuang
2025 J jnl
CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models.
CoRR
Kairong Han, Wenshuo Zhao, Ziyu Zhao, Junjian Ye, Lujia Pan, Kun Kuang
2025 — conf
Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs.
EMNLP (Findings)
Yixiao Zhou, Ziyu Zhao, Dongzhou Cheng, Zhiliang Wu, Jie Gui, Yi Yang, Fei Wu, Yu Cheng, Hehe Fan
2025 J jnl
Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs.
CoRR
Yixiao Zhou, Ziyu Zhao, Dongzhou Cheng, Zhiliang Wu, Jie Gui, Yi Yang, Fei Wu, Yu Cheng, Hehe Fan
2025 J jnl
Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning.
CoRR
Ziyu Zhao, Yixiao Zhou, Didi Zhu, Tao Shen, Xuwu Wang, Jing Su, Kun Kuang, Zhongyu Wei, Fei Wu, Yu Cheng
2025 J jnl
FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning.
CoRR
Tao Shen, Zexi Li, Didi Zhu, Ziyu Zhao, Chao Wu, Fei Wu
2025 J jnl
FedMcon: an adaptive aggregation method for federated learning via meta controller.
Frontiers Inf. Technol. Electron. Eng.
Tao Shen, Zexi Li, Ziyu Zhao, Didi Zhu, Zheqi Lv, Kun Kuang, Shengyu Zhang, Chao Wu, Fei Wu
2025 A* conf
Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering.
ICLR
Ziyu Zhao, Tao Shen, Didi Zhu, Zexi Li, Jing Su, Xuwu Wang, Fei Wu
2025 J jnl
Networked Instrumental Variable for Treatment Effect Estimation With Unobserved Confounders.
IEEE Trans. Knowl. Data Eng.
Ziyu Zhao, Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Zhihua Wang, Fei Wu
2025 J jnl
Noise Projection: Closing the Prompt-Agnostic Gap Behind Text-to-Image Misalignment in Diffusion Models.
CoRR
Yunze Tong, Didi Zhu, Zijing Hu, Jinluan Yang, Ziyu Zhao
2025 — conf
OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use.
ACL (1)
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
2025 J jnl
OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use.
CoRR
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
2025 A* conf
REMEDY: Recipe Merging Dynamics in Large Vision-Language Models.
ICLR
Didi Zhu, Yibing Song, Tao Shen, Ziyu Zhao, Jinluan Yang, Min Zhang, Chao Wu
2025 J jnl
Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices.
CoRR
Tao Shen, Didi Zhu, Ziyu Zhao, Chao Wu, Fei Wu
2024 — conf
An Adaptive Aggregation Method for Federated Learning via Meta Controller.
MMAsia Workshops
Tao Shen, Zexi Li, Ziyu Zhao, Didi Zhu, Zheqi Lv, Shengyu Zhang, Kun Kuang, Fei Wu
2024 J jnl
Causal Agent based on Large Language Model.
CoRR
Kairong Han, Kun Kuang, Ziyu Zhao, Junjian Ye, Fei Wu
2024 A* conf
De-biased Attention Supervision for Text Classification with Causality.
AAAI
Yiquan Wu, Yifei Liu, Ziyu Zhao, Weiming Lu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang
2024 J jnl
Deconfounded hierarchical multi-granularity classification.
Comput. Vis. Image Underst.
Ziyu Zhao, Leilei Gan, Tao Shen, Kun Kuang, Fei Wu
2024 A* conf
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks.
ICML
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
2024 J jnl
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks.
CoRR
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
2024 J jnl
IntOPE: Off-Policy Evaluation in the Presence of Interference.
CoRR
Yuqi Bai, Ziyu Zhao, Minqin Zhu, Kun Kuang
2024 J jnl
Learning Individual Treatment Effects under Heterogeneous Interference in Networks.
ACM Trans. Knowl. Discov. Data
Ziyu Zhao, Yuqi Bai, Ruoxuan Xiong, Qingyu Cao, Chao Ma, Ning Jiang, Fei Wu, Kun Kuang
2024 — conf
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild.
ACL (Findings)
Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu
2024 J jnl
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild.
CoRR
Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu
2024 J jnl
Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering.
CoRR
Ziyu Zhao, Tao Shen, Didi Zhu, Zexi Li, Jing Su, Xuwu Wang, Kun Kuang, Fei Wu
2024 J jnl
Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning.
CoRR
Ziyu Zhao, Leilei Gan, Guoyin Wang, Yuwei Hu, Tao Shen, Hongxia Yang, Kun Kuang, Fei Wu
2023 J jnl
Differentiated matching for individual and average treatment effect estimation.
Data Min. Knowl. Discov.
Ziyu Zhao, Kun Kuang, Bo Li, Peng Cui, Runze Wu, Jun Xiao, Fei Wu
2022 J jnl
Learning Individual Treatment Effects under Heterogeneous Interference in Networks.
CoRR
Ziyu Zhao, Kun Kuang, Ruoxuan Xiong, Fei Wu
2021 — conf
Estimating Treatment Effect via Differentiated Confounder Matching.
CICAI
Ziyu Zhao, Kun Kuang, Fei Wu