| 2015 | IVCNZ | Feature tracking using epipolar geometry for ego-motion estimation. | Ting-Hsiang Huang, Zhen-Qi Zhuang, Chia-Yen Chen, Bao Rong Chang, Chia-Chen Kuo |
| 2014 | IVCNZ | Visual Odometry with Improved Adaptive Feature Tracking. | Chia-Yen Chen, Jia-Hong Zhang, Bao Rong Chang |
| 2012 | ACIIDS | Adaptive Performance for VVoIP Implementation in Cloud Computing Environment. | Bao Rong Chang, Hsiu Fen Tsai, Zih-Yao Lin, Chi-Ming Chen, Chien-Feng Huang |
| 2012 | ICMLC | Intelligent VVoIP implementation in UEC cloud computing. | Bao Rong Chang, Hsiu Fen Tsai, Zih-Yao Lin, Chi-Ming Chen, Chien-Feng Huang |
| 2012 | ICMLC | A genetic-search model for first-day returns using IPO fundamentals. | Chien-Feng Huang, Chih-Hsiang Chang, Li-Min Kuo, Bo-Hau Lin, Tsung-Nan Hsieh, Bao Rong Chang |
| 2011 | GRC | Implementation of mobile video/voice over IP and access control on cloud computing. | Bao Rong Chang, Hsiu Fen Tsai, Chien-Feng Huang, Zih-Yao Lin, Chi-Ming Chen |
| 2011 | GRC | A genetic-based stock selection model using investor sentiment indicators. | Chien-Feng Huang, Chih-Hsiang Chang, Bao Rong Chang, Tsung-Nan Hsieh |
| 2011 | GRC | A comparative study of stock scoring using regression and genetic-based linear models. | Chien-Feng Huang, Tsung-Nan Hsieh, Bao Rong Chang, Chih-Hsiang Chang |
| 2011 | ICMLC | Tracking extrema in dynamic environments using Probability Collectives Multi-agent Systems. | Chien-Feng Huang, Bao Rong Chang, Dun-Wei Cheng |
| 2010 | GRC | Adaptive Probabilistic Learning by Collectives in Dynamic Environments. | Chien-Feng Huang, Bao Rong Chang |
| 2010 | ICCCI | Private Small-Cloud Computing in Connection with WinCE Thin Client. | Bao Rong Chang, Hsiu Fen Tsai, Chien-Feng Huang, His-Chung Huang |
| 2010 | ICCCI | Probability Collectives Multi-Agent Systems: A Study of Robustness in Search. | Chien-Feng Huang, Bao Rong Chang |
| 2009 | HIS | A Fast and Effective Approach to Lane Marking and Neighboring Vehicles Detections Based on Vision/GPS Sensing Together with Vehicle-to-Vehicle Communication. | Bao Rong Chang, Hsiu Fen Tsai, Chung-Ping Young |
| 2008 | ISDA | Applying Embedded Hybrid ANFIS/Quantum-Tuned BPNN Prediction to Collision Warning System for Motor Vehicle Safety. | Bao Rong Chang, Chung-Ping Young, Hsiu Fen Tsai, Jian-Jr Lin |
| 2008 | ISDA | Cooperative Collision Warning Based Highway Vehicle Accident Reconstruction. | Chung-Ping Young, Bao Rong Chang, Jian-Jr Lin, Ren-Yang Fang |
| 2007 | ICNC | Quantum Search Tuning ANFIS/NGARCH for Analysis of Timing of Resources Exploration In The Behavior of Firm. | Hsiu Fen Tsai, Bao Rong Chang |
| 2007 | ISNN | Neuromorphic Quantum-Based Adaptive Support Vector Regression for Tuning BWGC/NGARCH Forecast Model. | Bao Rong Chang, Hsiu Fen Tsai |
| 2006 | ICONIP | Forecasting the Flow of Data Packets for Website Traffic Analysis - ASVR-Tuned ANFIS/NGARCH Approach. | Bao Rong Chang, Shi-Huang Chen, Hsiu Fen Tsai |
| 2006 | ICONIP | Intelligence-Based Model to Timing Problem of Resources Exploration in the Behavior of Firm. | Hsiu Fen Tsai, Bao Rong Chang |
| 2006 | IJCNN | Financial Prediction Applications Using Quantum-Minimized Composite Model ASVR/NGARCH. | Bao Rong Chang, Hsiu Fen Tsai |
| 2004 | IJCNN | Enhanced forecasting approach: an integration of NGARCH and hybrid BPNN-weighted grey-C3LSP. | Bao Rong Chang |
| 2004 | SMC | Tunable free parameters C and epsilon-tube in support vector regression for grey prediction model - SVRGM(1, 1|C, e) approach. | Bao Rong Chang |
| 2003 | IJCNN | A study of non-periodic short-term random walk forecasting based on RBFNN, ARMA, or SVR-GM(1,1|τ) approach. | Bao Rong Chang |
| 2003 | SMC | A tunable epsilon-tube in support vector regression for refining parameters of GM(1, 1 | τ) prediction model - SVRGM(1, 1 | τ) approach. | Bao Rong Chang |
| 2002 | SMC | A grey-cumulative LMS hybrid predictor with neural network based weighting for forecasting non-periodic short-term time series. | Bao Rong Chang, Shiou Fen Tsai |
| 2002 | SMC | Forecasting non-periodic short-term time series-radial basis function neural network approach. | Bao Rong Chang, Shiou Fen Tsai |
| 2001 | SMC | Applying energy transformation analysis to determine the weights of sequences. | Bao Rong Chang |
| 2001 | SMC | The optimization for sequences relational analysis. | Bao Rong Chang |