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Chao Wu

Research Professor

Zhejiang University

China

Research Interests

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Articles (19)

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2026

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2023

Collaborators (4)

Xiaoyu Xia

RMIT University

AUSTRALIA

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Nicholas D. Lane

University of Cambridge

UNITED KINGDOM

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Zhao Wang

Lecturer

Zhejiang University

CHINA

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Panagiotis Angeloudis

Professor in Transport Systems & Logistics

Imperial College London

UNITED KINGDOM

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Chao Wu

Research Interests

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Articles (19)

Frequency-Aware and Residual-Attention CGAN with Two-Stage Training for Imbalanced Potato Leaf Disease Detection in Crop Management

Improving Model Fusion by Training-Time Neuron Alignment With Fixed Neuron Anchors

A Directional and Ordinal Consistency Framework for Potato Price Forecasting in Agricultural Management

HRI: Harmonizing Rotation Invariance for Remote Sensing Pretraining Model

Effective Two-Stage Double Auction for Dynamic Resource Provision Over Edge Networks via Discovering the Power of Overbooking

PatchTST-DME: Frequency-Aware Transformer for Potato Price Forecasting in Agricultural Management

FedGuCci: Making Local Models More Connected in Landscape for Federated Learning

FedMcon: an adaptive aggregation method for federated learning via meta controller

Utilizing RBC system for taxation policy evaluation: An adaptive interaction framework based on deep reinforcement learning

Towards Effective Clustered Federated Learning: A Peer-to-Peer Framework With Adaptive Neighbor Matching

Advancing Prompt Learning through an External Layer

Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models

Search Space Reconstructing for Neural Architecture Search

A Federated Learning Framework via Decentralized Data Valuation for Chronic Disease Healthcare

A Federated Learning-Based Framework for Ride-sourcing Traffic Demand Prediction

When Masked Image Modeling Meets Source-free Unsupervised Domain Adaptation: Dual-Level Masked Network for Semantic Segmentation

Generalized Universal Domain Adaptation with Generative Flow Networks

Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives

Edge-cloud Collaborative Learning with Federated and Centralized Features

Collaborators (4)

Xiaoyu Xia

Nicholas D. Lane

Zhao Wang

Panagiotis Angeloudis

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