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2020 – today
- 2022
[j7]Cheng-Yu Tsai
, Huei-Tyng Huang, Hsueh-Chien Cheng, Jieni Wang, Ping-Jung Duh, Wen-Hua Hsu, Marc Stettler, Yi-Chun Kuan, Yin-Tzu Lin, Chia-Rung Hsu, Kang-Yun Lee, Jiunn-Horng Kang, Dean Wu, Hsin-Chien Lee, Cheng-Jung Wu, Arnab Majumdar, Wen-Te Liu:
Screening for Obstructive Sleep Apnea Risk by Using Machine Learning Approaches and Anthropometric Features. Sensors 22(22): 8630 (2022)
2010 – 2019
- 2019
- [j6]Eric Krokos, Hsueh-Chien Cheng, Jessica Chang, Bohdan A. Nebesh, Celeste Lyn Paul, Kirsten Whitley, Amitabh Varshney:
Enhancing Deep Learning with Visual Interactions. ACM Trans. Interact. Intell. Syst. 9(1): 5:1-5:27 (2019) - [j5]Hsueh-Chien Cheng, Antonio Cardone, Somay Jain, Eric Krokos, Kedar Narayan, Sriram Subramaniam, Amitabh Varshney:
Deep-Learning-Assisted Volume Visualization. IEEE Trans. Vis. Comput. Graph. 25(2): 1378-1391 (2019) - 2017
- [b1]Hsueh-Chien Cheng:
Multimodal Biomedical Data Visualization: Enhancing Network, Clinical, and Image Data Depiction. University of Maryland, College Park, MD, USA, 2017 - [c11]Hsueh-Chien Cheng, Rainer von Coelln, Ann L. Gruber-Baldini, Lisa M. Shulman, Amitabh Varshney:
Winnow: Interactive Visualization of Temporal Changes in Multidimensional Clinical Data. BCB 2017: 124-133 - [c10]Hsueh-Chien Cheng, Antonio Cardone, Amitabh Varshney:
Interactive exploration of microstructural features in gigapixel microscopy images. ICIP 2017: 335-339 - [c9]Hsueh-Chien Cheng, Amitabh Varshney:
Volume segmentation using convolutional neural networks with limited training data. ICIP 2017: 590-594 - [c8]Hsueh-Chien Cheng, Antonio Cardone, Eric Krokos, Bogdan Stoica, Alan Faden, Amitabh Varshney:
Deep-learning-assisted visualization for live-cell images. ICIP 2017: 1377-1381 - 2014
- [j4]Hsueh-Chien Cheng, Bastian Robert Angermann, Fengkai Zhang, Martin Meier-Schellersheim:
NetworkViewer: visualizing biochemical reaction networks with embedded rendering of molecular interaction rules. BMC Syst. Biol. 8: 70 (2014) - 2011
- [j3]Tsung-Che Chiang, Hsueh-Chien Cheng, Li-Chen Fu:
NNMA: An effective memetic algorithm for solving multiobjective permutation flow shop scheduling problems. Expert Syst. Appl. 38(5): 5986-5999 (2011) - [j2]Hsueh-Chien Cheng, Tsung-Che Chiang, Li-Chen Fu:
A two-stage hybrid memetic algorithm for multiobjective job shop scheduling. Expert Syst. Appl. 38(9): 10983-10998 (2011) - [c7]Udayan Khurana, Viet-An Nguyen, Hsueh-Chien Cheng, Jae-wook Ahn, Xi Stephen Chen, Ben Shneiderman:
Visual Analysis of Temporal Trends in Social Networks Using Edge Color Coding and Metric Timelines. SocialCom/PASSAT 2011: 549-554 - 2010
- [j1]Tsung-Che Chiang, Hsueh-Chien Cheng, Li-Chen Fu:
A memetic algorithm for minimizing total weighted tardiness on parallel batch machines with incompatible job families and dynamic job arrival. Comput. Oper. Res. 37(12): 2257-2269 (2010)
2000 – 2009
- 2009
- [c6]Hsueh-Chien Cheng, Tsung-Che Chiang, Li-Chen Fu:
Multiobjective job shop scheduling using memetic algorithm and shifting bottleneck procedure. CISched 2009: 15-21 - [c5]Tsung-Che Chiang, Hsueh-Chien Cheng, Li-Chen Fu:
Multiobjective Permutation Flow Shop Scheduling Using a Memetic Algorithm with an NEH-Based Local Search. ICIC (1) 2009: 813-825 - 2008
- [c4]Hsueh-Chien Cheng, Tsung-Che Chiang, Li-Chen Fu:
Multiobjective permutation flowshop scheduling by an adaptive genetic local search algorithm. IEEE Congress on Evolutionary Computation 2008: 1596-1602 - [c3]Tsung-Che Chiang, Hsueh-Chien Cheng, Li-Chen Fu:
An Efficient Heuristic for Minimizing Maximum Lateness on Parallel Batch Machines. ISDA (2) 2008: 621-627 - [c2]Hsueh-Chien Cheng, Tsung-Che Chiang, Li-Chen Fu:
A memetic algorithm for parallel batch machine scheduling with incompatible job families and dynamic job arrivals. SMC 2008: 541-546 - [c1]Jia-Wei Yang, Hsueh-Chien Cheng, Tsung-Che Chiang, Li-Chen Fu:
Multiobjective lot scheduling and dynamic OHT routing in a 300-mm wafer fab. SMC 2008: 1608-1613
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