Feature extractions using labeled and unlabeled data. - Bor-Chen Kuo; Chun-Hao Chang; Tian-Wei Sheu; Chih-Cheng Hung (IGARSS, 2005)

A Condition-based Intra Prediction Algorithm for H.264/AVC. - Jia-Wei Chen; Chun-Hao Chang; Chien-Chang Lin; Yi-Huan Yang; Jiun-In Guo; Jinn-Shyan Wang (ICME, 2006)

A 7mW-to-183mW Dynamic Quality-Scalable H.264 Video Encoder Chip. - Hsiu-Cheng Chang; Jia-Wei Chen; Ching-Lung Su; Yao-Chang Yang; Yao Li; Chun-Hao Chang; Ze-Min Chen; Wei-Sen Yang; Chien-Chang Lin; Ching-Wen Chen; Jinn-Shyan Wang; Jiun-In Guo (ISSCC, 2007)

A Quality Scalable H.264/AVC Baseline Intra Encoder for High Definition Video Applicaitons. - Chun-Hao Chang; Jia-Wei Chen; Hsiu-Cheng Chang; Yao-Chang Yang; Jinn-Shyan Wang; Jiun-In Guo (SiPS, 2007)

High-Quality Reversible Data Hiding Approach Based on Evaluating Multiple Prediction Methods. - Cheng-Hsing Yang; Kuan-Liang Liu; Chun-Hao Chang; Yi-Jhong Jhang (ICT-EurAsia, 2014)

Analyzing Event Opinion Transition through Summarized Emotion Visualization. - Fernando Calderon; Chun-Hao Chang; Carlos Rene Argueta; Elvis Saravia; Yi-Shin Chen (ASONAM, 2015)

SDC-TPG: A Deterministic Zero-Inflation Parallel Test Pattern Generator. - Chun-Hao Chang; Kuen-Wei Yeh; Jiun-Lang Huang; Laung-Terng Wang (ATS, 2015)

EmoTrend: Emotion Trends for Events. - Yi-Shin Chen; Carlos Rene Argueta; Chun-Hao Chang (DASFAA (2), 2015)

Subconscious Crowdsourcing: A feasible data collection mechanism for mental disorder detection on social media. - Chun-Hao Chang; Elvis Saravia; Yi-Shin Chen (ASONAM, 2016)

MIDAS: Mental illness detection and analysis via social media. - Elvis Saravia; Chun-Hao Chang; Renaud Jollet De Lorenzo; Yi-Shin Chen (ASONAM, 2016)

Intelligent Plant Care Hydroponic Box Using IoTtalk. - Tsung-Han Wu; Chun-Hao Chang; Yun-Wei Lin; Lan-Da Van; Yi-Bing Lin (iThings/GreenCom/CPSCom/SmartData, 2016)

Design and implementation of a Packet-in buffer system for SDN switches. - Shie-Yuan Wang; Chun-Hao Chang; Yi-Hsuan Hsieh; Chih-Liang Chou (ISCC, 2017)

Dropout Feature Ranking for Deep Learning Models. - Chun-Hao Chang; Ladislav Rampásek; Anna Goldenberg (CoRR, 2017)

Fast Steady-State Thermal Analysis. - Lih-Yih Chiou; Chun-Hao Chang; Liang-Ying Lu; Wei-Hsuan Yang; Yeong-Jar Chang; Juin-Ming Lu (ISOCC, 2018)

Explaining Image Classifiers by Adaptive Dropout and Generative In-filling. - Chun-Hao Chang; Elliot Creager; Anna Goldenberg; David Duvenaud (CoRR, 2018)

Dynamic Measurement Scheduling for Adverse Event Forecasting using Deep RL. - Chun-Hao Chang; Mingjie Mai; Anna Goldenberg (CoRR, 2018)

Explaining Image Classifiers by Counterfactual Generation. - Chun-Hao Chang; Elliot Creager; Anna Goldenberg; David Duvenaud (ICLR (Poster), 2019)

Dynamic Measurement Scheduling for Event Forecasting using Deep RL. - Chun-Hao Chang; Mingjie Mai; Anna Goldenberg (ICML, 2019)

Demo: Tagging IoT Data in a Drone View. - Lan-Da Van; Chun-Hao Chang; Kit-Lun Tong; Kun-Ru Wu; Ling-Yan Zhang; Yu-Chee Tseng (MobiCom, 2019)

Design and Development of a Safety Educational Adventure Game. - Feng-Kuang Chiang; Chun-Hao Chang; Danni Hu; Geran Zhang; Ying Liu (Int. J. Emerg. Technol. Learn., 2019)

PlantTalk: A Smartphone-Based Intelligent Hydroponic Plant Box. - Lan-Da Van; Yi-Bing Lin; Tsung-Han Wu; Yun-Wei Lin; Syuan-Ru Peng; Lin-Hang Kao; Chun-Hao Chang (Sensors, 2019)

Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models. - Benjamin J. Lengerich; Sarah Tan; Chun-Hao Chang; Giles Hooker; Rich Caruana (AISTATS, 2020)

Hidden Risks of Machine Learning Applied to Healthcare: Unintended Feedback Loops Between Models and Future Data Causing Model Degradation. - George-Alexandru Adam; Chun-Hao Kingsley Chang; Benjamin Haibe-Kains; Anna Goldenberg (MLHC, 2020)

Brain Tumor Segmentation (BraTS) Challenge Short Paper: Improving Three-Dimensional Brain Tumor Segmentation Using SegResnet and Hybrid Boundary-Dice Loss. - Cheyu Hsu; Chun-Hao Chang; Tom Weiwu Chen; Hsinhan Tsai; Shihchieh Ma; Weichung Wang (BrainLes@MICCAI (2), 2021)

Towards Robust Classification Model by Counterfactual and Invariant Data Generation. - Chun-Hao Chang; George-Alexandru Adam; Anna Goldenberg (CVPR, 2021)

How Interpretable and Trustworthy are GAMs? - Chun-Hao Chang; Sarah Tan; Benjamin J. Lengerich; Anna Goldenberg; Rich Caruana (KDD, 2021)

Extracting Clinician's Goals by What-if Interpretable Modeling. - Chun-Hao Chang; George-Alexandru Adam; Rich Caruana; Anna Goldenberg (CoRR, 2021)

Things in the air: tagging wearable IoT information on drone videos. - Lan-Da Van; Ling-Yan Zhang; Chun-Hao Chang; Kit-Lun Tong; Kun-Ru Wu; Yu-Chee Tseng (Discov. Internet Things, 2021)

Measure-resend authenticated semi-quantum key distribution with single photons. - Chun-Hao Chang; Yu-Chin Lu; Tzonelih Hwang (Quantum Inf. Process., 2021)

Image Blending Methods for Defective PCB Image Generation. - Ting-Hui Chiang; Chun-Hao Chang; Li-Hsin Chen; Chun-Ju Lin; An-Chun Luo; Yu-Shan Deng; Po-Han Chang; Ming-Ji Dai; Yu-Chee Tseng (ICCE-TW, 2022)

NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning. - Chun-Hao Chang; Rich Caruana; Anna Goldenberg (ICLR, 2022)

Error Amplification When Updating Deployed Machine Learning Models. - George-Alexandru Adam; Chun-Hao Kingsley Chang; Benjamin Haibe-Kains; Anna Goldenberg (MLHC, 2022)

Interpretable Machine Learning: Explaining Models, Datasets and Expert Behaviors - Chun-Hao Chang (2022)

Eff-AQI: An Efficient CNN-Based Model for Air Pollution Estimation: A Study Case in India. - Sapdo Utomo; Adarsh Rouniyar; Guo Hao Jiang; Chun-Hao Chang; Kai Chun Tang; Hsiu-Chun Hsu; Pao-Ann Hsiung (GoodIT, 2023)

Using a Three-Problem Framework to Understand How Nursing College Students Learn to Design Healthcare Animations. - Chun-Hao Chang (ICCE, 2023)

Data-Efficient and Interpretable Tabular Anomaly Detection. - Chun-Hao Chang; Jinsung Yoon; Sercan Ö. Arik; Madeleine Udell; Tomas Pfister (KDD, 2023)

The Effect of Collaborative Anchoring on the Development of Digital Curation Skills Among Nursing College Students. - Chun-Hao Chang (ICCE, 2024)

Deployment Optimization for Mobile Integrated Access and Backhaul Nodes in Air-Ground Integrated Networks. - Cheng-Han Sung; Chun-Hao Chang; Ming-Chun Lee (VTC Fall, 2024)