Chun-Hao Chang

44 papers A* 6A 2B 3C 4Journal 16Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Exploring "Many in Few" and "Few in Many" Properties in Long-Tailed, Highly-Imbalanced IC Defect Classification. CoRR Hao-Chiang Shao, Chun-Hao Chang, Yu-Hsien Lin, Chia-Wen Lin, Shao-Yun Fang, Yan-Hsiu Liu
2024	—	`conf`	Deployment Optimization for Mobile Integrated Access and Backhaul Nodes in Air-Ground Integrated Networks. VTC Fall Cheng-Han Sung, Chun-Hao Chang, Ming-Chun Lee
2024	C	`conf`	The Effect of Collaborative Anchoring on the Development of Digital Curation Skills Among Nursing College Students. ICCE Chun-Hao Chang
2023	A*	`conf`	Data-Efficient and Interpretable Tabular Anomaly Detection. KDD Chun-Hao Chang, Jinsung Yoon, Sercan Ö. Arik, Madeleine Udell, Tomas Pfister
2023	—	`conf`	Eff-AQI: An Efficient CNN-Based Model for Air Pollution Estimation: A Study Case in India. GoodIT Sapdo Utomo, Adarsh Rouniyar, Guo Hao Jiang, Chun-Hao Chang, Kai Chun Tang, Hsiu-Chun Hsu, Pao-Ann Hsiung
2023	C	`conf`	Using a Three-Problem Framework to Understand How Nursing College Students Learn to Design Healthcare Animations. ICCE Chun-Hao Chang
2022	J	`jnl`	Data-Efficient and Interpretable Tabular Anomaly Detection. CoRR Chun-Hao Chang, Jinsung Yoon, Sercan Ö. Arik, Madeleine Udell, Tomas Pfister
2022	—	`conf`	Image Blending Methods for Defective PCB Image Generation. ICCE-TW 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
2022	—	`—`	Interpretable Machine Learning: Explaining Models, Datasets and Expert Behaviors Chun-Hao Chang
2022	A*	`conf`	NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning. ICLR Chun-Hao Chang, Rich Caruana, Anna Goldenberg
2021	—	`conf`	Brain Tumor Segmentation (BraTS) Challenge Short Paper: Improving Three-Dimensional Brain Tumor Segmentation Using SegResnet and Hybrid Boundary-Dice Loss. BrainLes@MICCAI (2) Cheyu Hsu, Chun-Hao Chang, Tom Weiwu Chen, Hsinhan Tsai, Shihchieh Ma, Weichung Wang
2021	J	`jnl`	Extracting Clinician's Goals by What-if Interpretable Modeling. CoRR Chun-Hao Chang, George-Alexandru Adam, Rich Caruana, Anna Goldenberg
2021	A*	`conf`	How Interpretable and Trustworthy are GAMs? KDD Chun-Hao Chang, Sarah Tan, Benjamin J. Lengerich, Anna Goldenberg, Rich Caruana
2021	J	`jnl`	Measure-resend authenticated semi-quantum key distribution with single photons. Quantum Inf. Process. Chun-Hao Chang, Yu-Chin Lu, Tzonelih Hwang
2021	J	`jnl`	NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning. CoRR Chun-Hao Chang, Rich Caruana, Anna Goldenberg
2021	J	`jnl`	Things in the air: tagging wearable IoT information on drone videos. Discov. Internet Things Lan-Da Van, Lingyan Zhang, Chun-Hao Chang, Kit-Lun Tong, Kun-Ru Wu, Yu-Chee Tseng
2021	A*	`conf`	Towards Robust Classification Model by Counterfactual and Invariant Data Generation. CVPR Chun-Hao Chang, George-Alexandru Adam, Anna Goldenberg
2021	J	`jnl`	Towards Robust Classification Model by Counterfactual and Invariant Data Generation. CoRR Chun-Hao Chang, George-Alexandru Adam, Anna Goldenberg
2020	J	`jnl`	How Interpretable and Trustworthy are GAMs? CoRR Chun-Hao Chang, Sarah Tan, Benjamin J. Lengerich, Anna Goldenberg, Rich Caruana
2020	J	`jnl`	Measure-resend authenticated semi-quantum key distribution with single photons. CoRR Chun-Hao Chang, Yu-Chin Lu, Tzonelih Hwang
2020	A	`conf`	Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models. AISTATS Benjamin J. Lengerich, Sarah Tan, Chun-Hao Chang, Giles Hooker, Rich Caruana
2019	A*	`conf`	Demo: Tagging IoT Data in a Drone View. MobiCom Lan-Da Van, Chun-Hao Chang, Kit-Lun Tong, Kun-Ru Wu, Lingyan Zhang, Yu-Chee Tseng
2019	J	`jnl`	Design and Development of a Safety Educational Adventure Game. Int. J. Emerg. Technol. Learn. Feng-Kuang Chiang, Chun-Hao Chang, Danni Hu, Geran Zhang, Ying Liu
2019	A*	`conf`	Dynamic Measurement Scheduling for Event Forecasting using Deep RL. ICML Chun-Hao Chang, Mingjie Mai, Anna Goldenberg
2019	J	`jnl`	Dynamic Measurement Scheduling for Event Forecasting using Deep RL. CoRR Chun-Hao Chang, Mingjie Mai, Anna Goldenberg
2019	—	`conf`	Explaining Image Classifiers by Counterfactual Generation. ICLR (Poster) Chun-Hao Chang, Elliot Creager, Anna Goldenberg, David Duvenaud
2019	J	`jnl`	PlantTalk: A Smartphone-Based Intelligent Hydroponic Plant Box. Sensors Lan-Da Van, Yi-Bing Lin, Tsung-Han Wu, Yun-Wei Lin, Syuan-Ru Peng, Lin-Hang Kao, Chun-Hao Chang
2019	J	`jnl`	Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models. CoRR Benjamin J. Lengerich, Sarah Tan, Chun-Hao Chang, Giles Hooker, Rich Caruana
2018	J	`jnl`	Dynamic Measurement Scheduling for Adverse Event Forecasting using Deep RL. CoRR Chun-Hao Chang, Mingjie Mai, Anna Goldenberg
2018	J	`jnl`	Explaining Image Classifiers by Adaptive Dropout and Generative In-filling. CoRR Chun-Hao Chang, Elliot Creager, Anna Goldenberg, David Duvenaud
2018	—	`conf`	Fast Steady-State Thermal Analysis. ISOCC Lih-Yih Chiou, Chun-Hao Chang, Liang-Ying Lu, Wei-Hsuan Yang, Yeong-Jar Chang, Juin-Ming Lu
2017	C	`conf`	Design and implementation of a Packet-in buffer system for SDN switches. ISCC Shie-Yuan Wang, Chun-Hao Chang, Yi-Hsuan Hsieh, Chih-Liang Chou
2017	J	`jnl`	Dropout Feature Ranking for Deep Learning Models. CoRR Chun-Hao Chang, Ladislav Rampásek, Anna Goldenberg
2016	—	`conf`	Intelligent Plant Care Hydroponic Box Using IoTtalk. iThings/GreenCom/CPSCom/SmartData Tsung-Han Wu, Chun-Hao Chang, Yun-Wei Lin, Lan-Da Van, Yi-Bing Lin
2016	B	`conf`	MIDAS: Mental illness detection and analysis via social media. ASONAM Elvis Saravia, Chun-Hao Chang, Renaud Jollet De Lorenzo, Yi-Shin Chen
2016	B	`conf`	Subconscious Crowdsourcing: A feasible data collection mechanism for mental disorder detection on social media. ASONAM Chun-Hao Chang, Elvis Saravia, Yi-Shin Chen
2015	B	`conf`	Analyzing Event Opinion Transition through Summarized Emotion Visualization. ASONAM Fernando Calderon, Chun-Hao Chang, Carlos Rene Argueta, Elvis Saravia, Yi-Shin Chen
2015	—	`conf`	EmoTrend: Emotion Trends for Events. DASFAA (2) Yi-Shin Chen, Carlos Rene Argueta, Chun-Hao Chang
2015	—	`conf`	SDC-TPG: A Deterministic Zero-Inflation Parallel Test Pattern Generator. ATS Chun-Hao Chang, Kuen-Wei Yeh, Jiun-Lang Huang, Laung-Terng Wang
2014	—	`conf`	High-Quality Reversible Data Hiding Approach Based on Evaluating Multiple Prediction Methods. ICT-EurAsia Cheng-Hsing Yang, Kuan-Liang Liu, Chun-Hao Chang, Yi-Jhong Jhang
2007	—	`conf`	A 7mW-to-183mW Dynamic Quality-Scalable H.264 Video Encoder Chip. ISSCC 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
2007	—	`conf`	A Quality Scalable H.264/AVC Baseline Intra Encoder for High Definition Video Applicaitons. SiPS Chun-Hao Chang, Jia-Wei Chen, Hsiu-Cheng Chang, Yao-Chang Yang, Jinn-Shyan Wang, Jiun-In Guo
2006	A	`conf`	A Condition-based Intra Prediction Algorithm for H.264/AVC. ICME Jia-Wei Chen, Chun-Hao Chang, Chien-Chang Lin, Yi-Huan Yang, Jiun-In Guo, Jinn-Shyan Wang
2005	C	`conf`	Feature extractions using labeled and unlabeled data. IGARSS Bor-Chen Kuo, Chun-Hao Chang, Tian-Wei Sheu, Chih-Cheng Hung