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CASIA OpenIR
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MILP Models for Flexible Job Shop Scheduling with Spatial Constraints and Sequence Flexibility 会议论文
2024 IEEE 20th International Conference on Automation Science and Engineering, Bari，Italy, 2024年8月28
作者:  Han, Yunjun(韩云君);  Peng,Shaoming;  Shen, Zhen;  Tao,Zhikun;  Xiong, Gang
Adobe PDF(397Kb)  |  收藏  |  浏览/下载：39/10  |  提交时间：2024/06/11
Multi-Agent Reinforcement Learning for Extended Flexible Job Shop Scheduling 期刊论文
MACHINES, 2024, 卷号: 12, 期号: 1, 页码: 25
作者:  Peng, Shaoming;  Xiong, Gang;  Yang, Jing;  Shen, Zhen;  Tamir, Tariku Sinshaw;  Tao, Zhikun;  Han, Yunjun;  Wang, Fei-Yue
Adobe PDF(199Kb)  |  收藏  |  浏览/下载：96/14  |  提交时间：2024/03/13
production planning and scheduling  multi-agent reinforcement learning  flexible job shop  path flexibility  technological flexibility  
PCUNet: A Context-Aware Deep Network for Coarse-to-Fine Point Cloud Completion 期刊论文
IEEE Sensors Journal, 2022, 卷号: 22, 期号: 15, 页码: 15098-15110
作者:  Zhao, Meihua;  Xiong, Gang;  Zhou, MengChu;  Shen, Zhen;  Liu, Sheng;  Han, Yunjun;  Wang, Fei-Yue
Adobe PDF(4497Kb)  |  收藏  |  浏览/下载：160/29  |  提交时间：2023/06/27
A Point-Based Neural Network for Real-Scenario Deformation Prediction in Additive Manufacturing 会议论文
, 成都希尔顿酒店, 2022年8月
作者:  Zhao, Meihua;  Xiong, Gang;  Wang, Weixing;  Fang, Qihang;  Shen, Zhen;  Wan, Li;  Zhu, Fenghua
Adobe PDF(1495Kb)  |  收藏  |  浏览/下载：149/38  |  提交时间：2023/06/27
Data-driven adaptive-critic optimal output regulation towards water level control of boiler-turbine systems 期刊论文
Expert Systems with Applications, 2022, 页码: 117883
作者:  Wei Qinglai;  Wang Xin;  Liu Yu;  Xiong Gang
Adobe PDF(2135Kb)  |  收藏  |  浏览/下载：189/68  |  提交时间：2023/05/23
Process Monitoring, Diagnosis and Control of Additive Manufacturing 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2022, 页码: 27
作者:  Fang, Qihang;  Xiong, Gang;  Zhou, MengChu;  Tamir, Tariku Sinshaw;  Yan, Chao-Bo;  Wu, Huaiyu;  Shen, Zhen;  Wang, Fei-Yue
收藏  |  浏览/下载：235/0  |  提交时间：2023/03/20
Additive manufacturing (AM)  in-situ monitoring  defect detection  fault diagnosis  closed-loop control  
Collaborative Optimization of Cyber Physical Social Systems for Urban Transportation Based on Knowledge Automation 会议论文
, 北京, 2020-12-5
作者:  Xiong, Gang;  Chen, Xiaoyu;  Shuo, Nan;  Lv, Yisheng;  Zhu, Fenghua;  Qu, Tianci;  Ye, Peijun
Adobe PDF(616Kb)  |  收藏  |  浏览/下载：251/90  |  提交时间：2022/06/16
Short-term Bus Passenger Flow Forecast Based On Deep Learning 会议论文
, 济南, 2018-12-14
作者:  Li Xiaoshuang;  Chen Ziyang;  Zhu Fenghua;  Chang Wei;  Tan Chang;  Xiong Gang
Adobe PDF(1030Kb)  |  收藏  |  浏览/下载：172/43  |  提交时间：2022/06/16
Urban Trip Generation Forecasting Based on Gradient Boosting Algorithm 会议论文
, Beijing, China, 2021-7-15
作者:  Zhishuai Li;  Gang Xiong;  Yu Zhang;  Meng Zheng;  Xisong Dong;  Yisheng Lv
Adobe PDF(345Kb)  |  收藏  |  浏览/下载：248/71  |  提交时间：2022/06/16
Improving Road Detection Results Based on Ensemble Learning and Key Samples Focusing 会议论文
Proceedings of the IEEE International Conference on Intelligent Transportation Systems (ITSC), Rhodes, Greece; Online, 2020-9-20
作者:  Fan, Siqi;  Zhu, Fenghua;  Zhang, Hui;  Lv, Yisheng;  Wang, Xiao;  Xiong, Gang;  Wang, Feiyue
Adobe PDF(2270Kb)  |  收藏  |  浏览/下载：267/60  |  提交时间：2022/06/16