Chun-Hao Chang

According to our database, Chun-Hao Chang authored at least 34 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Data-Efficient and Interpretable Tabular Anomaly Detection.

Chun-Hao Chang, Jinsung Yoon, Sercan Ö. Arik, Madeleine Udell, Tomas Pfister

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

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

Proceedings of the 2023 ACM Conference on Information Technology for Social Good, 2023

2022

Error Amplification When Updating Deployed Machine Learning Models.

George-Alexandru Adam, Chun-Hao Kingsley Chang, Benjamin Haibe-Kains, Anna Goldenberg

Proceedings of the Machine Learning for Healthcare Conference, 2022

NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning.

Chun-Hao Chang, Rich Caruana, Anna Goldenberg

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 2022

2021

Measure-resend authenticated semi-quantum key distribution with single photons.

Chun-Hao Chang, Yu-Chin Lu, Tzonelih Hwang

Quantum Inf. Process., 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

Extracting Clinician's Goals by What-if Interpretable Modeling.

Chun-Hao Chang, George-Alexandru Adam, Rich Caruana, Anna Goldenberg

CoRR, 2021

How Interpretable and Trustworthy are GAMs?

Chun-Hao Chang, Sarah Tan, Benjamin J. Lengerich, Anna Goldenberg, Rich Caruana

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Towards Robust Classification Model by Counterfactual and Invariant Data Generation.

Chun-Hao Chang, George-Alexandru Adam, Anna Goldenberg

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

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

Proceedings of the Machine Learning for Healthcare Conference, 2020

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

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

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

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

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

Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019

Dynamic Measurement Scheduling for Event Forecasting using Deep RL.

Chun-Hao Chang, Mingjie Mai, Anna Goldenberg

Proceedings of the 36th International Conference on Machine Learning, 2019

Explaining Image Classifiers by Counterfactual Generation.

Chun-Hao Chang, Elliot Creager, Anna Goldenberg, David Duvenaud

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Dynamic Measurement Scheduling for Adverse Event Forecasting using Deep RL.

Chun-Hao Chang, Mingjie Mai, Anna Goldenberg

CoRR, 2018

Explaining Image Classifiers by Adaptive Dropout and Generative In-filling.

Chun-Hao Chang, Elliot Creager, Anna Goldenberg, David Duvenaud

CoRR, 2018

Fast Steady-State Thermal Analysis.

Lih-Yih Chiou, Chun-Hao Chang, Liang-Ying Lu, Wei-Hsuan Yang, Yeong-Jar Chang, Juin-Ming Lu

Proceedings of the International SoC Design Conference, 2018

2017

Dropout Feature Ranking for Deep Learning Models.

Chun-Hao Chang, Ladislav Rampásek, Anna Goldenberg

CoRR, 2017

Design and implementation of a Packet-in buffer system for SDN switches.

Shie-Yuan Wang, Chun-Hao Chang, Yi-Hsuan Hsieh, Chih-Liang Chou

Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017

2016

Intelligent Plant Care Hydroponic Box Using IoTtalk.

Tsung-Han Wu, Chun-Hao Chang, Yun-Wei Lin, Lan-Da Van, Yi-Bing Lin

Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016

MIDAS: Mental illness detection and analysis via social media.

Elvis Saravia, Chun-Hao Chang, Renaud Jollet De Lorenzo, Yi-Shin Chen

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Subconscious Crowdsourcing: A feasible data collection mechanism for mental disorder detection on social media.

Chun-Hao Chang, Elvis Saravia, Yi-Shin Chen

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015

EmoTrend: Emotion Trends for Events.

Yi-Shin Chen, Carlos Rene Argueta, Chun-Hao Chang

Proceedings of the Database Systems for Advanced Applications, 2015

SDC-TPG: A Deterministic Zero-Inflation Parallel Test Pattern Generator.

Chun-Hao Chang, Kuen-Wei Yeh, Jiun-Lang Huang, Laung-Terng Wang

Proceedings of the 24th IEEE Asian Test Symposium, 2015

Analyzing Event Opinion Transition through Summarized Emotion Visualization.

Fernando Calderon, Chun-Hao Chang, Carlos Rene Argueta, Elvis Saravia, Yi-Shin Chen

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014

High-Quality Reversible Data Hiding Approach Based on Evaluating Multiple Prediction Methods.

Cheng-Hsing Yang, Kuan-Liang Liu, Chun-Hao Chang, Yi-Jhong Jhang

Proceedings of the Information and Communication Technology, 2014

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

Proceedings of the IEEE Workshop on Signal Processing Systems, 2007

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

Proceedings of the 2007 IEEE International Solid-State Circuits Conference, 2007

2006

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

Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

2005

Feature extractions using labeled and unlabeled data.

Bor-Chen Kuo, Chun-Hao Chang, Tian-Wei Sheu, Chih-Cheng Hung

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005