Research on Wind Field Control Algorithm in Nano Photo Catalytic Air Purification and Disinfection System. - Bing-Jie Li; Jiahong Zhao; Xu Wang (ICDMA, 2012)

A bi-objective model for the used oil location-routing problem. - Jiahong Zhao; Vedat Verter (Comput. Oper. Res., 2015)

Spatial Distribution Characteristics and Influencing Factors of Urban Residents' Travel Carbon Emissions in Guangzhou. - Jianfeng Lu; Jiahong Zhao; Haiyan Jiang (Int. J. Appl. Logist., 2017)

Investigating Co-Prime Microphone Arrays for Speech Direction of Arrival Estimation. - Jiahong Zhao; Christian H. Ritz (APSIPA, 2018)

Using Data Mining and Machine Learning Approaches to Observe Technology-Enhanced Learning. - Sarah K. Howard; Jie Yang 009; Jun Ma 002; Christian Ritz 001; Jiahong Zhao; Kylie Wynne (TALE, 2018)

Semi-Coprime Microphone Arrays for Estimating Direction of Arrival of Speech Sources. - Jiahong Zhao; Christian Ritz 001 (APSIPA, 2019)

Co-prime Circular Microphone Arrays and Their Application to Direction of Arrival Estimation of Speech Sources. - Jiahong Zhao; Christian H. Ritz (ICASSP, 2019)

Compressed Sensing and its Applications in Risk Assessment for Internet Supply Chain Finance Under Big Data. - Xiumei Lyu; Jiahong Zhao (IEEE Access, 2019)

Scattering Transform Framework for Unmixing of Hyperspectral Data. - Yiliang Zeng; Christian Ritz 001; Jiahong Zhao; Jinhui Lan (Remote. Sens., 2019)

Semi-Adaptive Beamforming for Co-Prime Circular Microphone Arrays. - Jiahong Zhao; Christian Ritz 001 (APSIPA, 2020)

Attention-Based Residual Network with Scattering Transform Features for Hyperspectral Unmixing with Limited Training Samples. - Yiliang Zeng; Christian Ritz 001; Jiahong Zhao; Jinhui Lan (Remote. Sens., 2020)

Coprime Microphone Arrays for Estimating Speech Direction of Arrival Using Deep Learning. - Jiahong Zhao; Christian Ritz 001 (APSIPA ASC, 2021)

JRL-YOLO: A Novel Jump-Join Repetitious Learning Structure for Real-Time Dangerous Object Detection. - Yiliang Zeng; Lihao Zhang; Jiahong Zhao; Jinhui Lan; Biao Li (Comput. Intell. Neurosci., 2021)

Infectious waste management during a pandemic: A stochastic location-routing problem with chance-constrained time windows. - Saeed Tasouji Hassanpour; Ginger Y. Ke; Jiahong Zhao; David M. Tulett (Comput. Ind. Eng., 2023)

A multi-stage decision framework for managing hazardous waste logistics with random release dates. - Saeed Tasouji Hassanpour; Ginger Y. Ke; Jiahong Zhao; David M. Tulett (Expert Syst. Appl., 2023)

Generating Room Impulse Responses Using Neural Networks Trained with Weighted Combinations of Acoustic Parameter Loss Functions. - Hualin Ren; Christian H. Ritz; Jiahong Zhao; Xiguang Zheng; Daeyoung Jang (APSIPA, 2024)

Towards a B-format Ambisonic Room Impulse Response Generator Using Conditional Generative Adversarial Network. - Hualin Ren; Christian H. Ritz; Jiahong Zhao; Xiguang Zheng; Daeyoung Jang (APSIPA, 2024)

Towards an Objective Quality Metric for Interpolated Directional Room Impulse Responses. - Hualin Ren; Christian Ritz 001; Jiahong Zhao; Daeyoung Jang (ICASSP, 2024)

Multi-dimensional, multi-branch hyperspectral remote sensing image classification with limited training samples. - Yiliang Zeng; Zhiwu Lv; Hao Zhang; Jiahong Zhao (Signal Image Video Process., 2024)

A Metric for Predicting the Quality of Ambisonic Spatial Audio Reproduced Using Spatially Interpolated or Extrapolated Room Impulse Responses. - Hualin Ren; Christian H. Ritz; Jiahong Zhao; Xiguang Zheng; Daeyoung Jang (ICASSP, 2025)

Managing emergency logistics for hazardous materials with random severity level and link disruption: A distributionally robust optimization approach. - Jiahong Zhao; Longfei Zhang; Jie Wu; Ginger Y. Ke (Comput. Ind. Eng., 2025)

A bi-objective data-driven chance-constrained optimization for sustainable urban medical waste management. - Jiahong Zhao; Jianfeng Chen; Ginger Y. Ke; Zhiwei Chen (Expert Syst. Appl., 2025)