黃晧助理教授的研究著作與獎項等資料如下:
 

A.    期刊論文
1.    Giulia Pedrielli;Tanmay Khandait;Surdeep Chotaliya;Quinn Thibeault;Hao Huang;Mauricio Castillo-Ef;Georgios Fainekos,Part-X: A Family of Stochastic Algorithms for Search-Based Test Generation with Probabilistic Guarantees,arXiv (Electronic Journal), Vol. 2110, pp 1~17 ( 2021/10 )

2.    Yuankun Li;Hao Huang;Zelda B. Zabinsky;Shan Liu,Optimizing Implementation of Hepatitis C Birth-Cohort Screening and Treatment Strategies,MDM Policy & Practice, Vol. 2, pp 2381468316686795~2381468316686795 ( 2017/01 )


B.    會議論文
1.    廖柏旻;Jui-Feng Lin;Hao Huang;賴瑋晨, 運用校務研究資料發展畢業學籍狀態與成績之預測模型, 第30屆中華民國人因工程學會年會暨學術研討會 ( 2023/03/03 )

2.    Hao Huang;Shi-jun Huang, Optimal Waste Water Dosage Considering Efficacy and Cost, 2022 Joint Workshop of PNU, PKNU and YZU. ( 2022/01/17 )

3.    Pariyakorn Maneekul;Hao Huang;Danielle F. Morey;Giulia Pedrielli;Zelda B. Zabinsky, Multi-level Probabilistic Branch and Bound with Importance Sampling and Surrogate Modeling, INFORMS ANNUAL MEETING 2022 ( 2022/10/16 )

4.    Hao Huang;Min Hsu Wang, Hyperparameter Tuning for Waste Water Processing Forecast Time-series Models, The 22nd Asia Pacific Industrial Engineering and Management Systems ( 2022/11/06 )

5.    Hao Huang;Pariyakorn Maneekul;Danielle F. Morey;Zelda B. Zabinsky;Giulia Pedrielli, A Computational Study of Probabilistic Branch and Bound with Multilevel Importance Sampling, Winter SImulation Conference 2022 ( 2022/12/11 )

6.    Chih Jen Hsu;Chien Wen Lai;Hao Huang;Yu Ping Ku;Rong Yi Chen;Feng Tuan Hsieh;Pei-Chun Chou, Optimize Elevator Group Control and Transportation Efficiency with Discrete-event Simulation, 2022 6th International Conference on Medical and Health Informatics. Virtual ( 2022/05/13 )

7.    Giulia Pedrielli;Hao Huang;Zelda B. Zabinsky, Using Gaussian Processes to Automate Probabilistic Branch & Bound for Global Optimization, 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE). France ( 2021/08/23 )

8.    Hao Huang;Chih Hsien Cheng, Machine Learning Hyperparameter Optimization With Single Observation Probabilistic Branch And Bound, INFORMS ANNUAL MEETING 2021. USA ( 2021/10/24 )

9.    Liang Y.-C.;陳宛妤;Hao Huang;陳香伶, 支援向量機於醫學資訊上之應用-以乳癌為例, 第十七屆臺灣作業研究學會年會暨國際研討會. ( 2021/12/10 )

10.    Hao Huang;黃詩峻,預測廢水規範之加藥公式用於導入智慧加藥系統,2020中國工業工程學會年會暨學術研討會(CIIE2020), ( 2020/11/21 )

11.    Hao Huang;Giulia Pedrielli;Yi Chu;Zelda B. Zabinsky,Global Optimization With Gaussian Process And Probabilistic Branch And Bound,INFORMS ANNUAL MEETING 2020,線上虛擬會議 ( 2020/11/07 )

12.    Hao Huang, A Single Observation Approach for Simulation Optimization with Probabilistic Branch and Bound, The 6th International Conference on Industrial Engineering and Applications, 2019/04/12

13.    Zelda B Zabinsky;Ting-Yu Ho;Hao Huang, Integrating Heuristics and Approximations into a Branch and Bound Framework, IEEE CASE International Conference on Automation Science and Engineering ( 2019/08/22 )

14.    Zelda B Zabinsky;Giulia Pedrielli;Hao Huang, A Framework for Multi-fidelity Modeling in Global Optimization, The Fifth International Conference on Machine Learning, Optimization, and Data Science ( 2019/09/10 )

15.    Hao Huang;Chor-Kheng Lim;Tien-Lung Sun;Chin Mei Chou;I-chun Liu, Evaluation of Elderly Gaming Devices Using OpenPose, The 4th International Conference on Ambient Intelligence & Ergonomics in Asia (AmI&E 2019) ( 2019/10/04 )

16.    Hao Huang, Multi-Objective Two-Stage Stochastic Programming with Probabilistic Branch and Bound and Monte Carlo Simulation, INFORMS Annual Meeting 2019 ( 2019/10/20 )

17.    Hao Huang;I-Chih Chen, Probabilistic Branch and Bound with Evolutionary Algorithms for Simulation Optimization, The 6th East Asia Workshop on Industrial Engineering ( 2019/11/22 )

18.    Hao Huang;Chih-Wei Cheng;Kuan-Lin Chen, Multiple Objective Emergency Department Resource Allocation Using Multiple Objective Probabilistic Branch and Bound, The 20th Asia Pacific Industrial Engineering and Management Systems (APIEMS 2019) ( 2019/12/02 )

19.    Hao Huang;Yu Chun Chen, Semiconductor manufacturing monitoring mechanism using variational autoencoder and convolutional neural network, The 20th Asia Pacific Industrial Engineering and Management Systems (APIEMS 2019) ( 2019/12/02 )

20.    Chang, Y. L.;Chor-Kheng Lim;Chin Mei Chou;Hao Huang;Tien-Lung Sun;I-chun Liu, Using Facial Emotion Recognition to Observe the Emotional Changes of the Elderly Playing the Pillow Type Device, The 20th Asia Pacific Industrial Engineering and Management Systems (APIEMS 2019) ( 2019/12/02 )

21.    Hao Huang, A Simulation Optimization Framework Combining Probabilistic Branch and Bound with Metaheuristic Algorithms, 2018 INFORMS International Conference, 2018/06/17

22.    Hao Huang, Modeling and Analyzing Seasonal Influenza Spread and Policy Design for Taiwan with Agent Based Simulation, 2018 INFORMS International Conference, 2018/06/17

23.    Hao Huang, Multiple Objective Probabilistic Branch and Bound for Multi-fidelity Simulation Optimization, INFORMS Annual Meeting 2018, USA, 2018/11/04

24.    Hao Huang, A Simulation Optimization Framework Combining Probabilistic Branch and Bound with Metaheuristic Algorithms, 2018 INFORMS INTERNATIONAL CONFERENCE, Taiwan(2018/06/17)

25.    Hao Huang, Analyzing the Spread and Vaccination Policies of Seasonal Influenza at Taiwan Using Agent-based Simulation, The 4th East Asia Workshop on Industrial Engineering, Japan(2017/11/02)

26.    Hao Huang, Modeling and Analyzing Seasonal Influenza Spread and Policy Design for Taiwan with Agent Based Simulation, 2018 INFORMS INTERNATIONAL CONFERENCE, Taiwan(2018/06/17)

27.    David Linz;Hao Huang;Zelda Zabinsky, Multi-Fidelity Simulation Optimization with Level Set Approximation Using Probabilistic Branch and Bound, Winter Simulation Conference 2017, U.S.A.(2017/12/03)

28.    Hao Huang, The Computational Benefit of Level Set Approximation for Multi-Fidelity Simulation Optimization Problems, 2017第十三屆台灣作業研究學會年會暨學術研討會(ORSTW 2017), Taiwan(2017/10/14)

29.    David Linz;Hao Huang;Zelda Zabinsky,A Quantile-based Nested Partition Algorithm for Black-box Functions on a Continuous Domain,Winter Simulation Conference 2016,U.S.A. ( 2016/12/11 )


C.    專書及專書論文
1.    Zelda B Zabinsky;Hao Huang, A Partition-Based Optimization Approach for Level Set Approximation: Probabilistic Branch and Bound, Women in Industrial and Systems Engineering: Key Advances and Perspectives on Emerging Topics ( 2020/01 )


D.    獎項
1.    指導學生廖柏旻;賴瑋晨獲中華民國人因工程學會學生論文競賽 - 指導學生獲佳作 (202303)

2.    指導學生張軒瑞獲「專題研究應用性實作組」第三名 (202305)