Emergency logistics scheduling in disaster relief based on a multi-agent genetic algorithm. - Xiaohui Gan; Jing Liu 006; Xingxing Hao (CEC, 2016)

A new MBS representation for resource-constrained project scheduling problems. - Xingxing Hao; Jing Liu 006 (CEC, 2016)

An improved global replacement strategy for MOEA/D on many-objective kanpsack problems. - Xingxing Hao; Jing Liu 006; Zhenkun Wang 001 (CASE, 2017)

A differential evolution algorithm for the resource investment problem with discounted cash flows. - Meining Liu; Jing Liu 006; Xingxing Hao (CASE, 2017)

A multiagent evolutionary algorithm with direct and indirect combined representation for constraint satisfaction problems. - Xingxing Hao; Jing Liu 006 (Soft Comput., 2017)

A moving block sequence-based evolutionary algorithm for resource-constrained project scheduling problems. - Xingxing Hao; Jing Liu 006; Xiaoxiao Yuan; Xianglong Tang; Zhangtao Li (Int. J. Bio Inspired Comput., 2019)

SRG-Net: Unsupervised Segmentation for Terracotta Warrior Point Cloud with 3D Pointwise CNN methods. - Yao Hu; Guohua Geng; Kang Li 005; Wei Zhou 012; Xingxing Hao; Xin Cao 004 (CoRR, 2020)

Unsupervised Segmentation for Terracotta Warrior with Seed-Region-Growing CNN (SRG-Net). - Yao Hu; Wei Zhou 012; Guohua Geng; Kang Li 005; Xingxing Hao; Xin Cao 004 (CSAE, 2021)

A multi-objective differential evolution algorithm and a constraint handling mechanism based on variables proportion for dynamic economic emission dispatch problems. - Baihao Qiao; Jing Liu 006; Xingxing Hao (Appl. Soft Comput., 2021)

Multi Voxel-Point Neurons Convolution (MVPConv) for Fast and Accurate 3D Deep Learning. - Wei Zhou 012; Xin Cao 004; Xiaodan Zhang; Xingxing Hao; Dekui Wang; Ying He 001 (CoRR, 2021)

Multi Point-Voxel Convolution (MPVConv) for Deep Learning on Point Clouds. - Wei Zhou 012; Xin Cao 004; Xiaodan Zhang; Xingxing Hao; Dekui Wang; Ying He 001 (CoRR, 2021)

Mathematical model and simulated annealing algorithm for Chinese high school timetabling problems under the new curriculum innovation. - Xingxing Hao; Jing Liu 006; Yutong Zhang; Gustaph Sanga (Frontiers Comput. Sci., 2021)

An Evolutionary Multiobjective Framework for Complex Network Reconstruction Using Community Structure. - Kai Wu 003; Jing Liu 006; Xingxing Hao; Penghui Liu; Fang Shen (IEEE Trans. Evol. Comput., 2021)

A Unified Framework of Graph-Based Evolutionary Multitasking Hyper-Heuristic. - Xingxing Hao; Rong Qu; Jing Liu 006 (IEEE Trans. Evol. Comput., 2021)

A two-stage multi-objective evolutionary algorithm for large-scale multi-objective optimization. - Wei Liu 156; Chen Li 030; Xingxing Hao; Fei Xie; Haiyang Nan; Honghao Zhai; Jiyao Yang (CEC, 2022)

Offspring regeneration method based on bi-level sampling for large-scale evolutionary multi-objective optimization. - Wei Liu 156; Chen Li 030; Xingxing Hao; Wei Zhou 012; Xin Cao 004; Fei Xie (Swarm Evol. Comput., 2022)

Online Reconstruction of Complex Networks From Streaming Data. - Kai Wu 003; Xingxing Hao; Jing Liu 006; Penghui Liu; Fang Shen (IEEE Trans. Cybern., 2022)

VTPNet for 3D deep learning on point cloud. - Wei Zhou; Weiwei Jin; Qian Wang; Yifan Wang; Dekui Wang; Xingxing Hao; Yongxiang Yu (CoRR, 2023)

GTNet: Graph Transformer Network for 3D Point Cloud Classification and Semantic Segmentation. - Wei Zhou; Qian Wang; Weiwei Jin; Xinzhe Shi; Dekui Wang; Xingxing Hao; Yongxiang Yu (CoRR, 2023)

FCRoute: A Fast FPGA Connection Router Using Soft Routing-Space Pruning Algorithm. - Dekui Wang; Jun Feng 003; Wei Zhou 012; Xingxing Hao; Xiaodan Zhang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Multi Point-Voxel Convolution (MPVConv) for deep learning on point clouds. - Wei Zhou 012; Xiaodan Zhang; Xingxing Hao; Dekui Wang; Ying He 001 (Comput. Graph., 2023)

A Fast FPGA Connection Router Using Prerouting-Based Parallel Local Routing Algorithm. - Dekui Wang; Jun Feng 003; Ke Liu; Wei Zhou 012; Xingxing Hao; Xiaodan Zhang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Learning-guided cross-sampling for large-scale evolutionary multi-objective optimization. - Haofan Wang; Li Chen; Xingxing Hao; Rong Qu; Wei Zhou 012; Dekui Wang; Wei Liu 156 (Swarm Evol. Comput., 2024)

Mitigate the scale imbalance via multi-scale information interaction in small object detection. - Enhui Chai; Li Chen; Xingxing Hao; Wei Zhou (Neural Comput. Appl., 2024)

Meta-knowledge-assisted sampling with variable sorting for large-scale multi-objective optimization. - Haofan Wang; Li Chen; Xingxing Hao; Tingfeng Yu; Yongkang Qian; Ruoxi Yang; Wei Liu (Appl. Soft Comput., 2025)

Exploring multi-scale and cross-type features in 3D point cloud learning with CCMNET. - Wei Zhou 012; Weiwei Jin; Dekui Wang; Xingxing Hao; Yongxiang Yu; Caiwen Ma (Expert Syst. Appl., 2025)

Two-stage bidirectional coevolutionary algorithm for constrained multi-objective optimization. - Shulin Zhao 007; Xingxing Hao; Chen Li 030; Tingfeng Yu; Xingyu Li; Wei Liu 156 (Swarm Evol. Comput., 2025)