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Chang Liu
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Lrnnet: A light-weighted network with efficient reduced non-local operation for real-time semantic segmentation
W Jiang, Z Xie, Y Li, C Liu, H Lu
2020 IEEE international conference on multimedia & expo workshops (ICMEW), 1-6, 2020
642020
Completely heterogeneous federated learning
C Liu, Y Yang, X Cai, Y Ding, H Lu
arXiv preprint arXiv:2210.15865, 2022
112022
Position-aware subgraph neural networks with data-efficient learning
C Liu, Y Yang, Z Xie, H Lu, Y Ding
Proceedings of the sixteenth ACM international conference on web search and …, 2023
62023
UNIDEAL: Curriculum Knowledge Distillation Federated Learning
Y Yang, C Liu, X Cai, S Huang, H Lu, Y Ding
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
52024
A highly efficient training-aware convolutional neural network compression paradigm
C Liu, H Lu
2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-6, 2020
32020
NoMorelization: Building Normalizer-Free Models from a Sample's Perspective
C Liu, Y Yang, Y Ding, H Lu
arXiv preprint arXiv:2210.06932, 2022
22022
DAG: Deep Adaptive and Generative K-Free Community Detection on Attributed Graphs
C Liu, Y Yang, Y Ding, H Lu, W Lin, Z Wu, W Bi
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
12024
EDEN: A Plug-in Equivariant Distance Encoding to Beyond the 1-WL Test
C Liu, Y Yang, Y Ding, H Lu
arXiv preprint arXiv:2211.10739, 2022
12022
NT-LLM: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models
Y Ji, C Liu, X Chen, Y Ding, D Luo, M Li, W Lin, H Lu
arXiv preprint arXiv:2410.10743, 2024
2024
Beyond Binary Preference: Leveraging Bayesian Approaches for Joint Optimization of Ranking and Calibration
C Liu, Q Wang, W Lin, Y Ding, H Lu
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
2024
Decoupling Classification and Localization of CLIP
M Yi, Z Xie, Y Yang, C Liu, Y Ding, H Lu
2024 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 1-6, 2024
2024
BARTENDER: A simple baseline model for task-level heterogeneous federated learning
Y Yang, Y Lu, S Huang, S Sirejiding, C Liu, M Yi, Z Xie, Y Ding, H Lu
2024 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2024
2024
Mediate: Mixture Domain Model-Agnostic Federated Learning
C Liu, Y Yang, X Cai, Y Ding, H Lu
International Conference on Database Systems for Advanced Applications, 501-510, 2024
2024
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Articles 1–13