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2020 – today
- 2024
[j7]Lifang Chen, Yuchen Xiong, Yanjie Zhang, Ruiyin Yu, Lian Fang, Defeng Liu:
SP-SeaNeRF: Underwater Neural Radiance Fields with strong scattering perception. Comput. Graph. 123: 104025 (2024)- [j6]Ziwei Ming
, Defeng Liu, Long Xiao, Siyu Tu, Peng Chen, Yingshan Ma, Jinsong Liu, Zhengang Yang, Kejia Wang:
Generative adversarial networks with deep blind degradation powered terahertz ptychography. Displays 84: 102815 (2024) - [j5]Yinggan Tang, Tianjiao Wang, Defeng Liu:
MFFAGAN: Generative Adversarial Network With Multilevel Feature Fusion Attention Mechanism for Remote Sensing Image Super-Resolution. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 6860-6874 (2024) - [c6]Chenbin Zhang, Zhiqiang Hu, Shuyu Dai, Qingyuan He, Defeng Liu, Kun Yan, Ping Wang:
Boundary-Aware Contrastive Learning for Single-Source Domain Generalization in Medical Image Segmentation. ICME 2024: 1-6 - [i6]Jiaqi Liang, Sanjay Dominik Jena, Defeng Liu, Andrea Lodi:
A Reinforcement Learning Approach for Dynamic Rebalancing in Bike-Sharing System. CoRR abs/2402.03589 (2024) - [i5]Jiaqi Liang, Defeng Liu, Sanjay Dominik Jena, Andrea Lodi, Thibaut Vidal:
Dual Policy Reinforcement Learning for Real-time Rebalancing in Bike-sharing Systems. CoRR abs/2406.00868 (2024) - 2023
- [j4]Chao Hou, Weiqi Zhang, Hongbo Wang, Fei Liu, Defeng Liu, Jingyuan Chang:
A semantic segmentation model for lumbar MRI images using divergence loss. Appl. Intell. 53(10): 12063-12076 (2023) - [j3]Defeng Liu, Vincent Perreault, Alain Hertz, Andrea Lodi:
A machine learning framework for neighbor generation in metaheuristic search. Frontiers Appl. Math. Stat. 9 (2023) - [c5]Chenbin Zhang, Qingyuan He, Kun Yan, Meng Ma, Defeng Liu, Ping Wang:
CTSSeg: Consistent Teacher-Student model for magnetic resonance image Segmentation. ICME 2023: 2351-2356 - [c4]Deng Luo, Qingyuan He, Meng Ma, Kun Yan, Defeng Liu, Ping Wang:
ECANodule: Accurate Pulmonary Nodule Detection and Segmentation with Efficient Channel Attention. IJCNN 2023: 1-8 - 2022
- [j2]Defeng Liu, Lifang Chen:
SECPNet - secondary encoding network for estimating camera parameters. Vis. Comput. 38(5): 1689-1702 (2022) - [c3]Defeng Liu, Matteo Fischetti, Andrea Lodi:
Learning to Search in Local Branching. AAAI 2022: 3796-3803 - [i4]Warley Almeida Silva, Federico Bobbio, Flore Caye, Defeng Liu, Justine Pepin, Carl Perreault-Lafleur, William St-Arnaud:
Design and Implementation of an Heuristic-Enhanced Branch-and-Bound Solver for MILP. CoRR abs/2206.01857 (2022) - [i3]Defeng Liu, Vincent Perreault, Alain Hertz, Andrea Lodi:
A machine learning framework for neighbor generation in metaheuristic search. CoRR abs/2212.11451 (2022) - 2021
- [j1]Defeng Liu, Andrea Lodi, Mathieu Tanneau:
Learning chordal extensions. J. Glob. Optim. 81(1): 3-22 (2021) - [c2]Defeng Liu, Andrea Lodi:
Learning in Local Branching (Invited Talk). CP 2021: 3:1-3:2 - [i2]Defeng Liu, Matteo Fischetti, Andrea Lodi:
Learning to Search in Local Branching. CoRR abs/2112.02195 (2021)
2010 – 2019
- 2019
- [i1]Defeng Liu, Andrea Lodi, Mathieu Tanneau:
Learning chordal extensions. CoRR abs/1910.07600 (2019)
2000 – 2009
- 2009
- [c1]Liquan Wang, Defeng Liu, Dong-Liang Chen, Gang Wang:
The virtual prototype design and simulation of amphibious bio-crab robot with variable posture. ROBIO 2009: 2140-2145
Coauthor Index
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