News
2026
🐴 Apr, 2026 Paper “Knowledge Distillation-Empowered Domain Incremental Learning with Flexible Model Selection for Smart Manufacturing Applications” has been accepted by Journal of Manufacturing Systems.
🐴 Mar, 2026 Paper “Development of KASP markers and genomic prediction for winter hardiness in African bermudagrass” has been accepted by Grass Research.
2024
🐲 Nov, 2024 Paper “Pseudo Replay-based Class Continual Learning for Online New Category Anomaly Detection in Advanced Manufacturing” has been accepted by IISE Transactions.
🐲 Apr, 2024 Receive Graduate Research Excellence Award (1 person per year) from Oklahoma State University.
🐲 Feb, 2024 Paper “Knowledge Distillation-based Information Sharing for Online Process Monitoring in Decentralized Manufacturing System” has been accepted by Journal of Intelligent Manufacturing.
2023
🐰 Oct, 2023 Paper “Sensor Data Protection through Integration of Blockchain and Camouflaged Encryption in Cyber-physical Manufacturing Systems” has been accepted by Journal of Computing and Information Science in Engineering.
🐰 Aug, 2023 Start Data Scientist Position at Bayer Crop Science.
🐰 Jun, 2023 Successfully defend Ph.D. dissertation.
🐰 Jun, 2023 End Data Scientist Co-op at Bayer.
🐰 Mar, 2023 Paper “Transformer-enabled Generative Adversarial Imputation Network with Selective Generation (SGT-GAIN) for Missing Region Imputation” has been accepted by IISE Transactions.
🐰 Jan, 2023 Start to work as Data Scientist Co-op at Bayer Crop Science.
🐰 Jan, 2023 Paper “Characteristics of circulating small non-coding RNAs in plasma and serum during human aging” has been accepted by Aging Medicine.
2022
🐯 Nov, 2022 Give Ph.D. candidacy presentation at graduate seminar of School of Industrial Engineering & Management, Oklahoma State University.
🐯 Oct, 2022 Two talks and two poster presentations at INFORMS 2022 Annual Meeting.
🐯 Oct, 2022 Paper “Knowledge Distillation-enabled Multi-stage Incremental Learning for Online Process Monitoring in Advanced Manufacturing” has been accepted by IEEE International Conference on Data Mining, (ICDM) IncrLearn Workshop.
🐯 Jun, 2022 Paper “Hybrid Data-Driven Feature Extraction-Enabled Surface Modeling for Metal Additive Manufacturing” has been accepted by The International Journal of Advanced Manufacturing Technology.
🐯 Jun, 2022 Receive Robberson Research and Creative Activity Grant from Graduate College of Oklahoma State University.
🐯 Apr, 2022 Nominated as Outstanding Graduate Student of School of Industrial Engineering and Management, Oklahoma State University.
2021
🐮 Nov, 2021 Paper “An LSTM-autoencoder based online side channel monitoring approach for cyber-physical attack detection in additive manufacturing” has been accepted by Journal of Intelligent Manufacturing.
🐮 Nov, 2021 Pass proposal defense.
🐮 Oct, 2021 Paper “Augmented Time Regularized Generative Adversarial Network (ATR-GAN) for Data Augmentation in Online Process Anomaly Detection” has been accepted by IEEE Transactions on Automation Science and Engineering.
🐮 Oct, 2021 Two talks at INFORMS 2021 Annual Meeting.
🐮 Oct, 2021 Talk on Department of Industrial and Manufacturing Engineering at North Dakota State University.
🐮 Aug, 2021 Two talks at IDETC-CIE 2021.
🐮 Jul, 2021 Pass PhD qualifying exam.
🐮 Jun, 2021 Talk at NAMRC 49.
🐮 Apr, 2021 Paper “A Blockchain-Enabled Approach for Online Stream Sensor Data Protection in Cyber-Physical Manufacturing Systems” has been accepted by IDETC-CIE 2021.
🐮 Apr, 2021 Receive NSF Student Support Award for NAMRC 49.
🐮 Jan, 2021 Paper “Surface Morphology Analysis Using Convolutional Autoencoder in Additive Manufacturing with Laser Engineered Net Shaping” has been accepted by NARMC 49.
2020
🐭 Dec, 2020 Pass plan of study.
🐭 Oct, 2020 Paper “A Blockchain-based G-code protection approach for cyber-physical security in additive manufacturing” has been accepted by Journal of Computing and Information Science in Engineering.
🐭 Oct, 2020 Talk at INFORMS 2020 Annual Meeting.
2019
🐷 Oct, 2019 Data Challenge Award Finalist, Data Competition in QSR Section, INFORMS 2019 Annual Meeting.
🐷 Aug, 2019 Attend Oklahoma State University for Ph.D. degree in Industrial Engineering and Management, advised by Prof. Chenang Liu.
🐷 Jun, 2019 Graduate from Xi`an Jiaotong University with Bachlor Degree of Engineering in Mechanical Engineering.
2026年
🐴 2026年4月 论文”Knowledge Distillation-Empowered Domain Incremental Learning with Flexible Model Selection for Smart Manufacturing Applications“被Journal of Manufacturing Systems录用。
🐴 2026年3月 论文”Development of KASP markers and genomic prediction for winter hardiness in African bermudagrass“被Grass Research录用。
2024年
🐲 2024年11月 论文”Pseudo Replay-based Class Continual Learning for Online New Category Anomaly Detection in Advanced Manufacturing“被IISE Transactions录用。
🐲 2024年4月 荣获俄克拉荷马州立大学研究生卓越研究奖（每年1人）。
🐲 2024年2月 论文”Knowledge Distillation-based Information Sharing for Online Process Monitoring in Decentralized Manufacturing System“被Journal of Intelligent Manufacturing录用。
2023年
🐰 2023年10月 论文”Sensor Data Protection through Integration of Blockchain and Camouflaged Encryption in Cyber-physical Manufacturing Systems“被Journal of Computing and Information Science in Engineering录用。
🐰 2023年8月 入职拜耳农作物科学，担任数据科学家。
🐰 2023年6月 博士论文答辩顺利通过。
🐰 2023年6月 结束在拜耳的数据科学家合作实习。
🐰 2023年3月 论文”Transformer-enabled Generative Adversarial Imputation Network with Selective Generation (SGT-GAIN) for Missing Region Imputation“被IISE Transactions录用。
🐰 2023年1月 开始在拜耳农作物科学担任数据科学家合作实习。
🐰 2023年1月 论文”Characteristics of circulating small non-coding RNAs in plasma and serum during human aging“被Aging Medicine录用。
2022年
🐯 2022年11月 在俄克拉荷马州立大学工业工程与管理学院研究生研讨会上进行博士候选人报告。
🐯 2022年10月 在INFORMS 2022年会上作两场报告并进行两次海报展示。
🐯 2022年10月 论文”Knowledge Distillation-enabled Multi-stage Incremental Learning for Online Process Monitoring in Advanced Manufacturing“被IEEE数据挖掘国际会议（ICDM）IncrLearn研讨会录用。
🐯 2022年6月 论文”Hybrid Data-Driven Feature Extraction-Enabled Surface Modeling for Metal Additive Manufacturing“被The International Journal of Advanced Manufacturing Technology录用。
🐯 2022年6月 获俄克拉荷马州立大学研究生院Robberson研究与创新活动经费。
🐯 2022年4月 被提名为俄克拉荷马州立大学工业工程与管理学院优秀研究生。
2021年
🐮 2021年11月 论文”An LSTM-autoencoder based online side channel monitoring approach for cyber-physical attack detection in additive manufacturing“被Journal of Intelligent Manufacturing录用。
🐮 2021年11月 通过开题报告答辩。
🐮 2021年10月 论文”Augmented Time Regularized Generative Adversarial Network (ATR-GAN) for Data Augmentation in Online Process Anomaly Detection“被IEEE Transactions on Automation Science and Engineering录用。
🐮 2021年10月 在INFORMS 2021年会上作两场报告。
🐮 2021年10月 在北达科他州立大学工业与制造工程系作报告。
🐮 2021年8月 在IDETC-CIE 2021上作两场报告。
🐮 2021年7月 通过博士资格考试。
🐮 2021年6月 在NAMRC 49上作报告。
🐮 2021年4月 论文”A Blockchain-Enabled Approach for Online Stream Sensor Data Protection in Cyber-Physical Manufacturing Systems“被IDETC-CIE 2021录用。
🐮 2021年4月 获NAMRC 49 NSF学生支持奖。
🐮 2021年1月 论文”Surface Morphology Analysis Using Convolutional Autoencoder in Additive Manufacturing with Laser Engineered Net Shaping“被NAMRC 49录用。
2020年
🐭 2020年12月 通过学习计划审核。
🐭 2020年10月 论文”A Blockchain-based G-code protection approach for cyber-physical security in additive manufacturing“被Journal of Computing and Information Science in Engineering录用。
🐭 2020年10月 在INFORMS 2020年会上作报告。
2019年
🐷 2019年10月 荣获INFORMS 2019年会QSR分部数据竞赛数据挑战奖决赛入围。
🐷 2019年8月 入读俄克拉荷马州立大学工业工程与管理专业博士，导师为刘晨昂教授。
🐷 2019年6月 毕业于西安交通大学机械工程专业，获工学学士学位。