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Ching-Hua Chen
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2020 – today
- 2023
- [j17]Oshani Seneviratne, Amar K. Das, Shruthi Chari, Nkechinyere N. Agu, Sabbir M. Rashid, Jamie P. McCusker, Jade S. Franklin, Miao Qi, Kristin P. Bennett, Ching-Hua Chen, James A. Hendler, Deborah L. McGuinness:
Semantically enabling clinical decision support recommendations. J. Biomed. Semant. 14(1): 8 (2023) - [j16]Diya Li, Mohammed J. Zaki, Ching-Hua Chen:
Health-guided recipe recommendation over knowledge graphs. J. Web Semant. 75: 100743 (2023) - 2021
- [j15]Jonathan J. Harris, Ching-Hua Chen, Mohammed J. Zaki:
A Framework for Generating Summaries from Temporal Personal Health Data. ACM Trans. Comput. Heal. 2(3): 21:1-21:43 (2021) - [j14]Ching-Hua Chen, Jia-Jun Zhang, Chang-Han Wang, Yu-Chia Chang, Pinghui Sophia Yeh:
Constant Optical Power Operation of an Ultraviolet LED Controlled by a Smartphone. Sensors 21(14): 4707 (2021) - [c21]Jonathan J. Harris, Deborah L. McGuinness, Marco Monti, Oshani Seneviratne, Mohammed J. Zaki, Ching-Hua Chen:
Enhancing Clinical Relevance of Health Behavior Insights via Semantics. AMIA 2021 - [c20]Zhiguo Li, Chandramouli Maduri, Ching-Hua Chen:
Contextual Predictors of Medication Persistence for Patients on Oral Hypoglycemic Drugs. AMIA 2021 - [c19]Diya Li, Mohammed J. Zaki, Ching-Hua Chen:
Nutrition Guided Recipe Search via Pre-trained Recipe Embeddings. ICDE Workshops 2021: 20-23 - [c18]Ying Ding, Bogdan G. Arsintescu, Ching-Hua Chen, Haoyun Feng, François Scharffe, Oshani Seneviratne, Juan Sequeda:
International Workshop on Knowledge Graph: Heterogenous Graph Deep Learning and Applications. KDD 2021: 4121-4122 - [c17]Sola S. Shirai, Oshani Seneviratne, Ching-Hua Chen, Daniel M. Gruen, Deborah L. McGuinness:
Healthy Food Recommendation and Explanation Generation using a Semantically-Enabled Framework. ISWC (Posters/Demos/Industry) 2021 - [c16]Yu Chen, Ananya Subburathinam, Ching-Hua Chen, Mohammed J. Zaki:
Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph. WSDM 2021: 544-552 - [i5]Yu Chen, Ananya Subburathinam, Ching-Hua Chen, Mohammed J. Zaki:
Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph. CoRR abs/2101.01775 (2021) - [i4]Shruthi Chari, Prithwish Chakraborty, Mohamed F. Ghalwash, Oshani Seneviratne, Elif K. Eyigöz, Daniel M. Gruen, Fernando J. Suarez Saiz, Ching-Hua Chen, Pablo Meyer Rojas, Deborah L. McGuinness:
Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case. CoRR abs/2107.02359 (2021) - [i3]Oshani Seneviratne, Jonathan J. Harris, Ching-Hua Chen, Deborah L. McGuinness:
Personal Health Knowledge Graph for Clinically Relevant Diet Recommendations. CoRR abs/2110.10131 (2021) - 2020
- [j13]Lisa Amini, Ching-Hua Chen, David D. Cox, Aude Oliva, Antonio Torralba:
Experiences and Insights for Collaborative Industry-Academic Research in Artificial Intelligence. AI Mag. 41(1): 70-81 (2020) - [j12]Sola S. Shirai, Oshani Seneviratne, Minor Gordon, Ching-Hua Chen, Deborah L. McGuinness:
Identifying Ingredient Substitutions Using a Knowledge Graph of Food. Frontiers Artif. Intell. 3: 621766 (2020) - [j11]Varun Mishra, Sougata Sen, Grace Chen, Tian Hao, Jeffrey L. Rogers, Ching-Hua Chen, David Kotz:
Evaluating the Reproducibility of Physiological Stress Detection Models. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(4): 147:1-147:29 (2020) - [c15]Yu Chen, Ching-Hua Chen, Mohammed J. Zaki:
Combining User Preferences and Health Needs in Personalized Food Recommendation. AMIA 2020 - [c14]Jane L. Snowdon, Ching-Hua Chen, George Kim, Judy George, Thomas A. Gagliardi, Marion J. Ball, Sasha Ballen, Sugato Bagchi:
Analysis of Machine Learning Models and Identification of Factors for Predicting Preventive Care Services Usage in a Direct Primary Care Setting. AMIA 2020 - [c13]Subhro Das, Chandramouli Maduri, Ching-Hua Chen, Pei-Yun Sabrina Hsueh:
Learning Interpretable Behavioral Engagement for Care Management. MIE 2020: 1006-1010 - [c12]Sola S. Shirai, Oshani Seneviratne, Minor Gordon, Ching-Hua Chen, Deborah L. McGuinness:
Semantics-Driven Ingredient Substitution in the FoodKG. ISWC (Demos/Industry) 2020: 242-247 - [c11]Nidhi Rastogi, Oshani Seneviratne, Dan Gruen, Ching-Hua Chen, Yu Chen, Jon Harris, Diya Li, Ananya Subburathinam, Ruisi Jian, Megan Goulet, Yuheng Zhou, Osama Minhas, Jared Okun, Aaron Hill:
Applying Learning and Semantics for Personalized Food Recommendations. ISWC (Demos/Industry) 2020: 305-310 - [i2]Jonathan J. Harris, Ching-Hua Chen, Mohammed J. Zaki:
A Framework for Generating Explanations from Temporal Personal Health Data. CoRR abs/2003.09530 (2020)
2010 – 2019
- 2019
- [j10]Ching-Hua Chen, James A. Hendler, Sabbir M. Rashid, Oshani Seneviratne, Daby Sow, Biplav Srivastava:
Reflections on Successful Research in Artificial Intelligence: An Introduction. AI Mag. 40(4): 3-5 (2019) - [j9]Yolanda Gil, Biplav Srivastava, Ching-Hua Chen, Oshani Seneviratne:
Reflections on Successful Research in Artificial Intelligence: An Interview with Yolanda Gil. AI Mag. 40(4): 6-8 (2019) - [j8]Arvind Gupta, Biplav Srivastava, Daby Sow, Ching-Hua Chen, Oshani Seneviratne:
Reflections on the Ingredients for Success in AI Research: An Interview with Arvind Gupta. AI Mag. 40(4): 24-27 (2019) - [j7]Ching-Hua Chen, Joshua M. Smyth:
Special Issue on Health Behavior in the Information Age. J. Heal. Informatics Res. 3(1): 67-69 (2019) - [j6]Zhiguo Li, Subhro Das, James V. Codella, Tian Hao, Kun Lin, Chandramouli Maduri, Ching-Hua Chen:
An Adaptive, Data-Driven Personalized Advisor for Increasing Physical Activity. IEEE J. Biomed. Health Informatics 23(3): 999-1010 (2019) - [c10]Grace Chen, Varun Mishra, Ching-Hua Chen:
Temporal factors of listening to music on stress reduction. UbiComp/ISWC Adjunct 2019: 907-914 - [c9]Oshani Seneviratne, Amar K. Das, Shruthi Chari, Nkechinyere N. Agu, Sabbir M. Rashid, Ching-Hua Chen, Jamie P. McCusker, James A. Hendler, Deborah L. McGuinness:
Enabling Trust in Clinical Decision Support Recommendations through Semantics. SeWeBMeDa@ISWC 2019: 55-67 - [c8]Steven Haussmann, Oshani Seneviratne, Yu Chen, Yarden Ne'eman, James V. Codella, Ching-Hua Chen, Deborah L. McGuinness, Mohammed J. Zaki:
FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation. ISWC (2) 2019: 146-162 - [c7]Steven Haussmann, Yu Chen, Oshani Seneviratne, Nidhi Rastogi, James V. Codella, Ching-Hua Chen, Deborah L. McGuinness, Mohammed J. Zaki:
FoodKG Enabled Q&A Application. ISWC (Satellites) 2019: 273-276 - [i1]Subhro Das, Chandramouli Maduri, Ching-Hua Chen, Pei-Yun Sabrina Hsueh:
Learning Patient Engagement in Care Management: Performance vs. Interpretability. CoRR abs/1906.08339 (2019) - 2018
- [j5]Ching-Hua Chen, Kenney Ng:
Preface: User-generated health data and applications. IBM J. Res. Dev. 62(1): 1-3 (2018) - [j4]James V. Codella, Chohreh Partovian, H.-Y. Chang, Ching-Hua Chen:
Data quality challenges for person-generated health and wellness data. IBM J. Res. Dev. 62(1): 3:1-3:8 (2018) - [j3]Xinyu Hu, Pei-Yun Sabrina Hsueh, Ching-Hua Chen, Keith M. Diaz, Faith Parsons, I-En Liao, M. Qian, Ying-Kuen K. Cheung:
An interpretable health behavioral intervention policy for mobile device users. IBM J. Res. Dev. 62(1): 4:1-4:6 (2018) - [c6]Varun Mishra, Tian Hao, Si Sun, Kimberly N. Walter, Marion J. Ball, Ching-Hua Chen, Xinxin (Katie) Zhu:
Investigating the Role of Context in Perceived Stress Detection in the Wild. UbiComp/ISWC Adjunct 2018: 1708-1716 - 2017
- [c5]Xinyu Hu, Pei-Yun Sabrina Hsueh, Ching-Hua Chen, Keith M. Diaz, Ying-Kuen K. Cheung, Min Qian:
A First Step Towards Behavioral Coaching for Managing Stress: A Case Study on Optimal Policy Estimation with Multi-stage Threshold Q-learning. AMIA 2017 - [c4]Hung-Yang Chang, Zhiguo Li, Subhro Das, Tian Hao, Chandramouli Maduri, Chohreh Partovian, James V. Codella, Ching-Hua Chen:
A Personalized Pacing System for Real-Time Physical Activity Advising. CHASE 2017: 266-267 - [c3]Zhijun Yin, Bradley A. Malin, Jeremy L. Warner, Pei-Yun Sabrina Hsueh, Ching-Hua Chen:
The Power of the Patient Voice: Learning Indicators of Treatment Adherence From An Online Breast Cancer Forum. ICWSM 2017: 337-346 - 2016
- [j2]Shih-Chieh Lee, Jiann-Jone Chen, Yao-Hong Tsai, Ching-Hua Chen:
Toward enhancing the distributed video coder under a multiview video codec framework. J. Electronic Imaging 25(6): 63022 (2016) - 2012
- [j1]Jiann-Jone Chen, Shih-Chieh Lee, Ching-Hua Chen, Chen-Hsiang Sun, Jyun-Jie Jhuang, Chi-Chun Lu:
A Multiple Description Video Codec With Adaptive Residual Distributed Coding. IEEE Trans. Circuits Syst. Video Technol. 22(5): 754-768 (2012) - 2011
- [c2]Ching-Hua Chen, Shih-Chieh Lee, Jiann-Jone Chen:
An improved block matching and prediction algorithm for multi-view video with distributed video codec. ICME 2011: 1-6 - 2010
- [c1]Shih-Chieh Lee, Jyun-Jie Jhuang, Ching-Hua Chen, Jiann-Jone Chen, Jun-Lin Liu, De-Hui Shiue:
The improved central decoder of a multiple description and distributed codec for videos. ICME 2010: 561-266
Coauthor Index
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