Defeng Liu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Reinforcement Learning

Top Venues

Publications

Jiaqi Liang, Defeng Liu, Sanjay Dominik Jena, Andrea Lodi, Thibaut Vidal
Dual Policy Reinforcement Learning for Real-time Rebalancing in Bike-sharing Systems. CoRR (2024)
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 (2024)
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 (2024)
Jiaqi Liang, Sanjay Dominik Jena, Defeng Liu, Andrea Lodi
A Reinforcement Learning Approach for Dynamic Rebalancing in Bike-Sharing System. CoRR (2024)
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 (2024)
Chenbin Zhang, Qingyuan He, Kun Yan, Meng Ma, Defeng Liu, Ping Wang
CTSSeg: Consistent Teacher-Student model for magnetic resonance image Segmentation. ICME (2023)
Defeng Liu, Vincent Perreault, Alain Hertz, Andrea Lodi
A machine learning framework for neighbor generation in metaheuristic search. Frontiers Appl. Math. Stat. 9 (2023)
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) (2023)
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)
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 (2022)
Defeng Liu, Matteo Fischetti, Andrea Lodi
Learning to Search in Local Branching. AAAI (2022)
Defeng Liu, Vincent Perreault, Alain Hertz, Andrea Lodi
A machine learning framework for neighbor generation in metaheuristic search. CoRR (2022)
Defeng Liu, Lifang Chen
SECPNet - secondary encoding network for estimating camera parameters. Vis. Comput. 38 (5) (2022)
Defeng Liu, Andrea Lodi, Mathieu Tanneau
Learning chordal extensions. J. Glob. Optim. 81 (1) (2021)
Defeng Liu, Matteo Fischetti, Andrea Lodi
Learning to Search in Local Branching. CoRR (2021)
Defeng Liu, Andrea Lodi
Learning in Local Branching (Invited Talk). CP (2021)
Defeng Liu, Andrea Lodi, Mathieu Tanneau
Learning chordal extensions. CoRR (2019)