Chang Liu

According to our database, Chang Liu authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

Topology-Aware Popularity Debiasing via Simplicial Complexes.

Yanbiao Ji, Yue Ding, Chang Liu, Yuxiang Lu, Xin Xin, Hongtao Lu

CoRR, 2024

NT-LLM: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models.

Yanbiao Ji, Chang Liu, Xin Chen, Yue Ding, Dan Luo, Mei Li, Wenqing Lin, Hongtao Lu

CoRR, 2024

DAG: Deep Adaptive and Generative <i>K</i>-Free Community Detection on Attributed Graphs.

Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu, Wenqing Lin, Ziming Wu, Wendong Bi

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Beyond Binary Preference: Leveraging Bayesian Approaches for Joint Optimization of Ranking and Calibration.

Chang Liu, Qiwei Wang, Wenqing Lin, Yue Ding, Hongtao Lu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Decoupling Classification and Localization of CLIP.

Muyang Yi, Zhaozhi Xie, Yuwen Yang, Chang Liu, Yue Ding, Hongtao Lu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

BARTENDER: A simple baseline model for task-level heterogeneous federated learning.

Yuwen Yang, Yuxiang Lu, Suizhi Huang, Shalayiding Sirejiding, Chang Liu, Muyang Yi, Zhaozhi Xie, Yue Ding, Hongtao Lu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

UNIDEAL: Curriculum Knowledge Distillation Federated Learning.

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

Proceedings of the IEEE International Conference on Acoustics, 2024

Mediate: Mixture Domain Model-Agnostic Federated Learning.

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

Proceedings of the Database Systems for Advanced Applications, 2024

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