Target recognition for marine search and rescue radar. - Shijun Ying; Jinbiao Chen; Chaojian Shi (ICNC, 2010)

L3SN: A Level-Based, Large-Scale, Longevous Sensor Network System for Agriculture Information Monitoring. - Yongcai Wang; Yuexuan Wang; Xiao Qi 003; Liwen Xu; Jinbiao Chen; Guanyu Wang (Wirel. Sens. Netw., 2010)

Stair Scheduling for Data Collection in Wireless Sensor Networks. - Jinbiao Chen; Yongcai Wang; Yuexuan Wang; Changjian Hu (Int. J. Distributed Sens. Networks, 2013)

An efficient solution to locate sparsely congested links by network tomography. - Jinbiao Chen; Xiao Qi 003; Yongcai Wang (ICC, 2014)

Knowledge-aware multi-center clinical dataset adaptation: Problem, method, and application. - Jiebin Chu; Jinbiao Chen; Xiaofang Chen; Wei Dong 005; Jinlong Shi; Zhengxing Huang (J. Biomed. Informatics, 2021)

Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation. - Jieyi Bi; Yining Ma 001; Jiahai Wang; Zhiguang Cao; Jinbiao Chen; Yuan Sun 003; Yeow Meng Chee (NeurIPS, 2022)

Deep Reinforcement Learning with Two-Stage Training Strategy for Practical Electric Vehicle Routing Problem with Time Windows. - Jinbiao Chen; Huanhuan Huang; Zizhen Zhang; Jiahai Wang (PPSN (1), 2022)

Weight-Specific-Decoder Attention Model to Solve Multiobjective Combinatorial Optimization Problems. - Te Ye; Zizhen Zhang; Jinbiao Chen; Jiahai Wang (SMC, 2022)

Solving Quadratic Traveling Salesman Problem with Deep Reinforcement Learning. - Hang Zhang; Zizhen Zhang; Jinbiao Chen; Jiahai Wang (SMC, 2022)

Performance analysis of flexible flow shop with parallel manufacturing cells. - Jinbiao Chen; Huiyu Zhang; Qingxin Chen; Ning Mao; Jiahai Wang (Comput. Ind. Eng., 2022)

CD-Surv: a contrastive-based model for dynamic survival analysis. - Caogen Hong; Jinbiao Chen; Fan Yi; Yuzhe Hao; Fanwen Meng; Zhanghuiya Dong; Hui Lin; Zhengxing Huang (Health Inf. Sci. Syst., 2022)

Road rage detection algorithm based on fatigue driving and facial feature point location. - Shulei Wu; Suo Zihang; Huandong Chen; Yuchen Zhao; Yang Zhang; Jinbiao Chen; Qiaona Zheng (Neural Comput. Appl., 2022)

Solving Job-Shop Scheduling Problem via Deep Reinforcement Learning with Attention Model. - Zijun Liao; Jinbiao Chen; Zizhen Zhang (IEA/AIE (2), 2023)

Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization. - Jinbiao Chen; Jiahai Wang; Zizhen Zhang; Zhiguang Cao; Te Ye; Siyuan Chen 005 (NeurIPS, 2023)

Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement. - Jinbiao Chen; Zizhen Zhang; Zhiguang Cao; Yaoxin Wu; Yining Ma 001; Te Ye; Jiahai Wang (NeurIPS, 2023)

Neural Combinatorial Optimization for Robust Routing Problem with Uncertain Travel Times. - Pei Xiao 006; Zizhen Zhang; Jinbiao Chen; Jiahai Wang; Zhenzhen Zhang (NeurIPS, 2024)

Learning Node-Pair Insertion for the Pickup and Delivery Problem with Time Windows. - Zhanhong Fang; Jinbiao Chen; Zizhen Zhang; Dawei Su (SMC, 2024)

A Discrete Diffusion-Based Approach for Solving Multi-Objective Traveling Salesman Problem. - Dawei Su; Zizhen Zhang; Jinbiao Chen; Zhanhong Fang (SMC, 2024)

Neural Model Embedded Heuristics for Robust Traveling Salesman Problem with Interval Uncertainty. - Pei Xiao 006; Zizhen Zhang; Jinbiao Chen; Jiahai Wang (SMC, 2024)

MSFANet: multi-scale fusion attention network for mangrove remote sensing lmage segmentation using pattern recognition. - Lixiang Fu; Jinbiao Chen; Zhuoying Wang; Tao Zang; Huandong Chen; Shulei Wu; Yuchen Zhao (J. Cloud Comput., 2024)

Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding. - Jinbiao Chen; Zhiguang Cao; Jiahai Wang; Yaoxin Wu; Hanzhang Qin; Zizhen Zhang; Yue-Jiao Gong (ICLR, 2025)

Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion. - Jinbiao Chen; Jiahai Wang; Zhiguang Cao; Yaoxin Wu (ICLR, 2025)

BOPO: Neural Combinatorial Optimization via Best-anchored and Objective-guided Preference Optimization. - Zijun Liao; Jinbiao Chen; Debing Wang; Zizhen Zhang; Jiahai Wang (CoRR, 2025)

Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation. - Mingfeng Fan; Jianan Zhou 002; Yifeng Zhang; Yaoxin Wu; Jinbiao Chen; Guillaume Adrien Sartoretti (CoRR, 2025)

Solving Multiobjective Combinatorial Optimization via Learning to Improve Method. - Te Ye; Zizhen Zhang; Qingfu Zhang 001; Jinbiao Chen; Jiahai Wang (IEEE Trans. Emerg. Top. Comput. Intell., 2025)