A branch-and-price algorithm to solve the molten iron allocation problem in iron and steel industry. - Lixin Tang; Gongshu Wang; Jiyin Liu (Comput. Oper. Res., 2007)

Operations Research Transforms Baosteel's Operations. - Lixin Tang; Ying Meng; Gongshu Wang; Zhi-Long Chen; Jiyin Liu; Guofen Hu; Lijun Chen; Bo Zhang (Interfaces, 2014)

Integrated Charge Batching and Casting Width Selection at Baosteel. - Lixin Tang; Gongshu Wang; Zhi-Long Chen (Oper. Res., 2014)

An improved differential evolution for batching problem in steelmaking production. - Wenjie Xu; Gongshu Wang (CEC, 2015)

Solving the Order Planning Problem at the Steelmaking Shops by Considering Logistics Balance on the Plant-Wide Process. - Bo Zhang; Gongshu Wang; Yang Yang; Shuai Zhang (IEEE Access, 2019)

A dynamic differential evolution algorithm for the dynamic single-machine scheduling problem with sequence-dependent setup times. - Yue Zhao; Gongshu Wang (J. Oper. Res. Soc., 2020)

Diversity Guided Production Inventory Control in Automobile Manufacturers*. - Lue Tao; Weihua Chen; Gongshu Wang; Lijie Su; Yang Yang; Yun Dong (CASE, 2022)

Balancing Production Capacity of Steelmaking by Considering the Demands of Downstream Processes. - Gongshu Wang; Sibo Liu; Yujun Lin (CASE, 2022)

Capacitated Lot Sizing Problem with Family-based Setup and Downstream-process-based Demand*. - Yuming Zhao; Gongshu Wang; Yang Yang; Lijie Su (CASE, 2022)

A differential evolution with reinforcement learning for multi-objective assembly line feeding problem. - Lue Tao; Yun Dong; Weihua Chen; Yang Yang; Lijie Su; Qingxin Guo; Gongshu Wang (Comput. Ind. Eng., 2022)

An EEG-based approach for Parkinson's disease diagnosis using Capsule network. - Shujie Wang; Gongshu Wang; Guangying Pei (CoRR, 2022)

A graph partitioning based cooperative coevolution for the batching problem in steelmaking production. - Gongshu Wang; Qingxin Guo; Wenjie Xu; Lixin Tang (Int. J. Prod. Res., 2022)

Connectional-Style-Guided Contextual Representation Learning for Brain Disease Diagnosis. - Gongshu Wang; Ning Jiang; Yunxiao Ma; Tiantian Liu; Duanduan Chen; Jinglong Wu; Guoqi Li; Dong Liang; Tianyi Yan (CoRR, 2023)

Multi-task Collaborative Pre-training and Individual-adaptive-tokens Fine-tuning: A Unified Framework for Brain Representation Learning. - Ning Jiang; Gongshu Wang; Tianyi Yan (CoRR, 2023)

A metaheuristic algorithm for a locomotive routing problem arising in the steel industry. - Baobin Huang; Lixin Tang; Roberto Baldacci; Gongshu Wang; Defeng Sun (Eur. J. Oper. Res., 2023)

Robust optimization for a steel production planning problem with uncertain demand and product substitution. - Gongshu Wang; Jing Wu; Yang Yang; Lijie Su (Comput. Oper. Res., 2024)

Connectional-style-guided contextual representation learning for brain disease diagnosis. - Gongshu Wang; Ning Jiang; Yunxiao Ma; Duanduan Chen; Jinglong Wu; Guoqi Li; Dong Liang; Tianyi Yan (Neural Networks, 2024)

Using a deep generation network reveals neuroanatomical specificity in hemispheres. - Gongshu Wang; Ning Jiang; Yunxiao Ma; Dingjie Suo; Tiantian Liu; Shintaro Funahashi; Tianyi Yan (Patterns, 2024)

Multi-Task Collaborative Pre-Training and Adaptive Token Selection: A Unified Framework for Brain Representation Learning. - Ning Jiang; Gongshu Wang; Chuyang Ye; Tiantian Liu; Tianyi Yan (IEEE J. Biomed. Health Informatics, 2024)

Adaptive Strategy for Optimizing Latency-Energy Tradeoffs in Edge Computing Task Offloading. - Yingying Sun; Zhiming Dong; Gongshu Wang; Ren Zhao (CEC, 2025)