The virtual prototype design and simulation of amphibious bio-crab robot with variable posture. - Liquan Wang; Defeng Liu; Dong-Liang Chen; Gang Wang (ROBIO, 2009)

Learning in Local Branching (Invited Talk). - Defeng Liu; Andrea Lodi 001 (CP, 2021)

Learning chordal extensions. - Defeng Liu; Andrea Lodi 001; Mathieu Tanneau (J. Glob. Optim., 2021)

Learning to Search in Local Branching. - Defeng Liu; Matteo Fischetti; Andrea Lodi 001 (AAAI, 2022)

Design and Implementation of an Heuristic-Enhanced Branch-and-Bound Solver for MILP. - Warley Almeida Silva; Federico Bobbio; Flore Caye; Defeng Liu; Justine Pepin; Carl Perreault-Lafleur; William St-Arnaud (CoRR, 2022)

SECPNet - secondary encoding network for estimating camera parameters. - Defeng Liu; Lifang Chen (Vis. Comput., 2022)

CTSSeg: Consistent Teacher-Student model for magnetic resonance image Segmentation. - Chenbin Zhang; Qingyuan He; Kun Yan; Meng Ma 001; Defeng Liu; Ping Wang 003 (ICME, 2023)

ECANodule: Accurate Pulmonary Nodule Detection and Segmentation with Efficient Channel Attention. - Deng Luo; Qingyuan He; Meng Ma 001; Kun Yan; Defeng Liu; Ping Wang 003 (IJCNN, 2023)

A machine learning framework for neighbor generation in metaheuristic search. - Defeng Liu; Vincent Perreault; Alain Hertz; Andrea Lodi 001 (Frontiers Appl. Math. Stat., 2023)

A semantic segmentation model for lumbar MRI images using divergence loss. - Chao Hou; Weiqi Zhang; Hongbo Wang; Fei Liu; Defeng Liu; Jingyuan Chang (Appl. Intell., 2023)

Boundary-Aware Contrastive Learning for Single-Source Domain Generalization in Medical Image Segmentation. - Chenbin Zhang; Zhiqiang Hu; Shuyu Dai; Qingyuan He; Defeng Liu; Kun Yan; Ping Wang 003 (ICME, 2024)

SP-SeaNeRF: Underwater Neural Radiance Fields with strong scattering perception. - Lifang Chen; Yuchen Xiong; Yanjie Zhang; Ruiyin Yu; Lian Fang; Defeng Liu (Comput. Graph., 2024)

A Reinforcement Learning Approach for Dynamic Rebalancing in Bike-Sharing System. - Jiaqi Liang; Sanjay Dominik Jena; Defeng Liu; Andrea Lodi 001 (CoRR, 2024)

Dual Policy Reinforcement Learning for Real-time Rebalancing in Bike-sharing Systems. - Jiaqi Liang; Defeng Liu; Sanjay Dominik Jena; Andrea Lodi 001; Thibaut Vidal (CoRR, 2024)

Generative adversarial networks with deep blind degradation powered terahertz ptychography. - Ziwei Ming; Defeng Liu; Long Xiao; Siyu Tu; Peng Chen; Yingshan Ma; Jinsong Liu; Zhengang Yang; Kejia Wang (Displays, 2024)

MFFAGAN: Generative Adversarial Network With Multilevel Feature Fusion Attention Mechanism for Remote Sensing Image Super-Resolution. - Yinggan Tang; Tianjiao Wang; Defeng Liu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Deep RL Dual Sourcing Inventory Management with Supply and Capacity Risk Awareness. - Defeng Liu; Ying Liu; Carson Eisenach (CoRR, 2025)