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2020 – today
- 2026
[j4]Penglin Dai
, Hao Zhou, Quanmin Wei, Xiao Wu, Zhanbo Sun, Zhaofei Yu:
Cooperative Perception of Multi-Agents Under the Spatio-Temporal Drift Issue. IEEE Trans. Intell. Transp. Syst. 27(1): 1485-1498 (2026)- [c3]Quanmin Wei, Penglin Dai, Wei Li, Bingyi Liu, Xiao Wu:
InfoCom: Kilobyte-Scale Communication-Efficient Collaborative Perception with Information Bottleneck. AAAI 2026: 29731-29739 - 2025
- [c2]Quanmin Wei, Penglin Dai, Wei Li, Bingyi Liu, Xiao Wu:
CoPEFT: Fast Adaptation Framework for Multi-Agent Collaborative Perception with Parameter-Efficient Fine-Tuning. AAAI 2025: 23351-23359 - [i3]Quanmin Wei, Penglin Dai, Wei Li, Bingyi Liu, Xiao Wu:
CoPEFT: Fast Adaptation Framework for Multi-Agent Collaborative Perception with Parameter-Efficient Fine-Tuning. CoRR abs/2502.10705 (2025) - [i2]Junfei Zhou, Penglin Dai, Quanmin Wei, Bingyi Liu, Xiao Wu, Jianping Wang:
Pragmatic Heterogeneous Collaborative Perception via Generative Communication Mechanism. CoRR abs/2510.19618 (2025) - [i1]Quanmin Wei, Penglin Dai, Wei Li, Bingyi Liu, Xiao Wu:
InfoCom: Kilobyte-Scale Communication-Efficient Collaborative Perception with Information Bottleneck. CoRR abs/2512.10305 (2025) - 2023
- [j3]Jing Liu, Xianxian Li, Quanmin Wei, Songfeng Liu, Zhaohui Liu, Jinyan Wang:
A two-phase random forest with differential privacy. Appl. Intell. 53(10): 13037-13051 (2023) - [j2]Quanmin Wei, Jinyan Wang, Xingcheng Fu, Jun Hu, Xianxian Li:
AIC-GNN: Adversarial information completion for graph neural networks. Inf. Sci. 626: 166-179 (2023) - [c1]Jun Hu, Jinyan Wang, Quanmin Wei, Du Kai, Xianxian Li:
Learning Graph Neural Networks on Feature-Missing Graphs. KSEM (1) 2023: 255-262 - 2022
- [j1]Quanmin Wei, Jinyan Wang, Jun Hu, Xianxian Li, Tong Yi:
OGT: optimize graph then training GNNs for node classification. Neural Comput. Appl. 34(24): 22209-22222 (2022)
Coauthor Index
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