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Chun-Hao Chang
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2020 – today
- 2023
- [c26]Sapdo Utomo, Adarsh Rouniyar, Guo Hao Jiang, Chun-Hao Chang, Kai Chun Tang, Hsiu-Chun Hsu, Pao-Ann Hsiung:
Eff-AQI: An Efficient CNN-Based Model for Air Pollution Estimation: A Study Case in India. GoodIT 2023: 165-172 - [c25]Chun-Hao Chang, Jinsung Yoon, Sercan Ö. Arik, Madeleine Udell, Tomas Pfister:
Data-Efficient and Interpretable Tabular Anomaly Detection. KDD 2023: 190-201 - 2022
- [c24]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:
Image Blending Methods for Defective PCB Image Generation. ICCE-TW 2022: 261-262 - [c23]Chun-Hao Chang, Rich Caruana, Anna Goldenberg:
NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning. ICLR 2022 - [c22]George-Alexandru Adam, Chun-Hao Kingsley Chang, Benjamin Haibe-Kains, Anna Goldenberg:
Error Amplification When Updating Deployed Machine Learning Models. MLHC 2022: 715-740 - [i11]Chun-Hao Chang, Jinsung Yoon, Sercan Ö. Arik, Madeleine Udell, Tomas Pfister:
Data-Efficient and Interpretable Tabular Anomaly Detection. CoRR abs/2203.02034 (2022) - 2021
- [j4]Lan-Da Van, Ling-Yan Zhang, Chun-Hao Chang, Kit-Lun Tong, Kun-Ru Wu, Yu-Chee Tseng:
Things in the air: tagging wearable IoT information on drone videos. Discov. Internet Things 1(1) (2021) - [j3]Chun-Hao Chang, Yu-Chin Lu, Tzonelih Hwang:
Measure-resend authenticated semi-quantum key distribution with single photons. Quantum Inf. Process. 20(8): 1-12 (2021) - [c21]Cheyu Hsu, Chun-Hao Chang, Tom Weiwu Chen, Hsinhan Tsai, Shihchieh Ma, Weichung Wang:
Brain Tumor Segmentation (BraTS) Challenge Short Paper: Improving Three-Dimensional Brain Tumor Segmentation Using SegResnet and Hybrid Boundary-Dice Loss. BrainLes@MICCAI (2) 2021: 334-344 - [c20]Chun-Hao Chang, George-Alexandru Adam, Anna Goldenberg:
Towards Robust Classification Model by Counterfactual and Invariant Data Generation. CVPR 2021: 15212-15221 - [c19]Chun-Hao Chang, Sarah Tan, Benjamin J. Lengerich, Anna Goldenberg, Rich Caruana:
How Interpretable and Trustworthy are GAMs? KDD 2021: 95-105 - [i10]Chun-Hao Chang, George-Alexandru Adam, Anna Goldenberg:
Towards Robust Classification Model by Counterfactual and Invariant Data Generation. CoRR abs/2106.01127 (2021) - [i9]Chun-Hao Chang, Rich Caruana, Anna Goldenberg:
NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning. CoRR abs/2106.01613 (2021) - [i8]Chun-Hao Chang, George-Alexandru Adam, Rich Caruana, Anna Goldenberg:
Extracting Clinician's Goals by What-if Interpretable Modeling. CoRR abs/2110.15165 (2021) - 2020
- [c18]Benjamin J. Lengerich, Sarah Tan, Chun-Hao Chang, Giles Hooker, Rich Caruana:
Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models. AISTATS 2020: 2402-2412 - [c17]George-Alexandru Adam, Chun-Hao Kingsley Chang, Benjamin Haibe-Kains, Anna Goldenberg:
Hidden Risks of Machine Learning Applied to Healthcare: Unintended Feedback Loops Between Models and Future Data Causing Model Degradation. MLHC 2020: 710-731 - [i7]Chun-Hao Chang, Sarah Tan, Benjamin J. Lengerich, Anna Goldenberg, Rich Caruana:
How Interpretable and Trustworthy are GAMs? CoRR abs/2006.06466 (2020) - [i6]Chun-Hao Chang, Yu-Chin Lu, Tzonelih Hwang:
Measure-resend authenticated semi-quantum key distribution with single photons. CoRR abs/2006.11496 (2020)
2010 – 2019
- 2019
- [j2]Feng-Kuang Chiang, Chun-Hao Chang, Danni Hu, Geran Zhang, Ying Liu:
Design and Development of a Safety Educational Adventure Game. Int. J. Emerg. Technol. Learn. 14(3): 201-219 (2019) - [j1]Lan-Da Van, Yi-Bing Lin, Tsung-Han Wu, Yun-Wei Lin, Syuan-Ru Peng, Lin-Hang Kao, Chun-Hao Chang:
PlantTalk: A Smartphone-Based Intelligent Hydroponic Plant Box. Sensors 19(8): 1763 (2019) - [c16]Chun-Hao Chang, Elliot Creager, Anna Goldenberg, David Duvenaud:
Explaining Image Classifiers by Counterfactual Generation. ICLR (Poster) 2019 - [c15]Chun-Hao Chang, Mingjie Mai, Anna Goldenberg:
Dynamic Measurement Scheduling for Event Forecasting using Deep RL. ICML 2019: 951-960 - [c14]Lan-Da Van, Chun-Hao Chang, Kit-Lun Tong, Kun-Ru Wu, Ling-Yan Zhang, Yu-Chee Tseng:
Demo: Tagging IoT Data in a Drone View. MobiCom 2019: 70:1-70:3 - [i5]Chun-Hao Chang, Mingjie Mai, Anna Goldenberg:
Dynamic Measurement Scheduling for Event Forecasting using Deep RL. CoRR abs/1901.09699 (2019) - [i4]Benjamin J. Lengerich, Sarah Tan, Chun-Hao Chang, Giles Hooker, Rich Caruana:
Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models. CoRR abs/1911.04974 (2019) - 2018
- [c13]Lih-Yih Chiou, Chun-Hao Chang, Liang-Ying Lu, Wei-Hsuan Yang, Yeong-Jar Chang, Juin-Ming Lu:
Fast Steady-State Thermal Analysis. ISOCC 2018: 15-16 - [i3]Chun-Hao Chang, Elliot Creager, Anna Goldenberg, David Duvenaud:
Explaining Image Classifiers by Adaptive Dropout and Generative In-filling. CoRR abs/1807.08024 (2018) - [i2]Chun-Hao Chang, Mingjie Mai, Anna Goldenberg:
Dynamic Measurement Scheduling for Adverse Event Forecasting using Deep RL. CoRR abs/1812.00268 (2018) - 2017
- [c12]Shie-Yuan Wang, Chun-Hao Chang, Yi-Hsuan Hsieh, Chih-Liang Chou:
Design and implementation of a Packet-in buffer system for SDN switches. ISCC 2017: 955-960 - [i1]Chun-Hao Chang, Ladislav Rampásek, Anna Goldenberg:
Dropout Feature Ranking for Deep Learning Models. CoRR abs/1712.08645 (2017) - 2016
- [c11]Chun-Hao Chang, Elvis Saravia, Yi-Shin Chen:
Subconscious Crowdsourcing: A feasible data collection mechanism for mental disorder detection on social media. ASONAM 2016: 374-379 - [c10]Elvis Saravia, Chun-Hao Chang, Renaud Jollet De Lorenzo, Yi-Shin Chen:
MIDAS: Mental illness detection and analysis via social media. ASONAM 2016: 1418-1421 - [c9]Tsung-Han Wu, Chun-Hao Chang, Yun-Wei Lin, Lan-Da Van, Yi-Bing Lin:
Intelligent Plant Care Hydroponic Box Using IoTtalk. iThings/GreenCom/CPSCom/SmartData 2016: 398-401 - 2015
- [c8]Fernando Calderon, Chun-Hao Chang, Carlos Rene Argueta, Elvis Saravia, Yi-Shin Chen:
Analyzing Event Opinion Transition through Summarized Emotion Visualization. ASONAM 2015: 749-752 - [c7]Chun-Hao Chang, Kuen-Wei Yeh, Jiun-Lang Huang, Laung-Terng Wang:
SDC-TPG: A Deterministic Zero-Inflation Parallel Test Pattern Generator. ATS 2015: 43-48 - [c6]Yi-Shin Chen, Carlos Rene Argueta, Chun-Hao Chang:
EmoTrend: Emotion Trends for Events. DASFAA (2) 2015: 522-525 - 2014
- [c5]Cheng-Hsing Yang, Kuan-Liang Liu, Chun-Hao Chang, Yi-Jhong Jhang:
High-Quality Reversible Data Hiding Approach Based on Evaluating Multiple Prediction Methods. ICT-EurAsia 2014: 622-632
2000 – 2009
- 2007
- [c4]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:
A 7mW-to-183mW Dynamic Quality-Scalable H.264 Video Encoder Chip. ISSCC 2007: 280-603 - [c3]Chun-Hao Chang, Jia-Wei Chen, Hsiu-Cheng Chang, Yao-Chang Yang, Jinn-Shyan Wang, Jiun-In Guo:
A Quality Scalable H.264/AVC Baseline Intra Encoder for High Definition Video Applicaitons. SiPS 2007: 521-526 - 2006
- [c2]Jia-Wei Chen, Chun-Hao Chang, Chien-Chang Lin, Yi-Huan Yang, Jiun-In Guo, Jinn-Shyan Wang:
A Condition-based Intra Prediction Algorithm for H.264/AVC. ICME 2006: 1077-1080 - 2005
- [c1]Bor-Chen Kuo, Chun-Hao Chang, Tian-Wei Sheu, Chih-Cheng Hung:
Feature extractions using labeled and unlabeled data. IGARSS 2005: 1257-1260
Coauthor Index
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