Chang Liu

According to our database, Chang Liu authored at least 7 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

UNIDEAL: Curriculum Knowledge Distillation Federated Learning.

Yuwen Yang, Chang Liu, Xun Cai, Suizhi Huang, Hongtao Lu, Yue Ding

CoRR, 2023

Position-Aware Subgraph Neural Networks with Data-Efficient Learning.

Chang Liu, Yuwen Yang, Zhe Xie, Hongtao Lu, Yue Ding

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022

EDEN: A Plug-in Equivariant Distance Encoding to Beyond the 1-WL Test.

Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu

CoRR, 2022

Completely Heterogeneous Federated Learning.

Chang Liu, Yuwen Yang, Xun Cai, Yue Ding, Hongtao Lu

CoRR, 2022

NoMorelization: Building Normalizer-Free Models from a Sample's Perspective.

Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu

CoRR, 2022

2020

A Highly Efficient Training-Aware Convolutional Neural Network Compression Paradigm.

Chang Liu, Hongtao Lu

Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020

LRNNET: A Light-Weighted Network with Efficient Reduced Non-Local Operation for Real-Time Semantic Segmentation.

Weihao Jiang, Zhaozhi Xie, Yaoyi Li, Chang Liu, Hongtao Lu

Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020