Ziyu Zhao

Orcid: 0000-0003-1460-2777

Affiliations:
  • Zhejiang University (ZJU), Hangzhou, China


According to our database1, Ziyu Zhao authored at least 30 papers between 2021 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
ExpertWeaver: Unlocking the Inherent MoE in Dense LLMs with GLU Activation Patterns.
CoRR, February, 2026

Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-task Learning.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025
C<sup>2</sup>DLM: Causal Concept-Guided Diffusion Large Language Models.
CoRR, November, 2025

Noise Projection: Closing the Prompt-Agnostic Gap Behind Text-to-Image Misalignment in Diffusion Models.
CoRR, October, 2025

CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models.
CoRR, September, 2025

FedMcon: an adaptive aggregation method for federated learning via meta controller.
Frontiers Inf. Technol. Electron. Eng., August, 2025

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning.
CoRR, August, 2025

OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use.
CoRR, August, 2025

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices.
CoRR, March, 2025

Networked Instrumental Variable for Treatment Effect Estimation With Unobserved Confounders.
IEEE Trans. Knowl. Data Eng., February, 2025

Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning.
CoRR, January, 2025

REMEDY: Recipe Merging Dynamics in Large Vision-Language Models.
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.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use.
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.
ACM Trans. Knowl. Discov. Data, September, 2024

Deconfounded hierarchical multi-granularity classification.
Comput. Vis. Image Underst., 2024

Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering.
CoRR, 2024

IntOPE: Off-Policy Evaluation in the Presence of Interference.
CoRR, 2024

Causal Agent based on Large Language Model.
CoRR, 2024

Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning.
CoRR, 2024

InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks.
CoRR, 2024

An Adaptive Aggregation Method for Federated Learning via Meta Controller.
Proceedings of the 6th ACM International Conference on Multimedia in Asia, Workshops, 2024

InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

De-biased Attention Supervision for Text Classification with Causality.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Differentiated matching for individual and average treatment effect estimation.
Data Min. Knowl. Discov., 2023

2022
Learning Individual Treatment Effects under Heterogeneous Interference in Networks.
CoRR, 2022

2021
Estimating Treatment Effect via Differentiated Confounder Matching.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021


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