Publications

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HCI and Transparent Machine Learning

1. S. Luo, V. Chu, Z. Li, Y. Wang, Jianlong Zhou, F. Chen, and R. Wong. Multitask learning for sparse failure prediction. PAKDD 2019.
2. Jianlong Zhou and F. Chen. DecisionMind: Revealing Human Cognition States in Data Analytics-Driven Decision Making with a Multimodal Interface. Journal on Multimodal User Interfaces, (Springer), 2017. (PDF)
3. Jianlong Zhou, S. Z. Arshad S. Luo and F. Chen. Effects of Uncertainty and Cognitive Load on User Trust in Predictive Decision Making. the 16th IFIP TC.13 International Conference on Human-Computer Interaction (INTERACT 2017), 2017.(Reviewer’s Choice Award), (“The Brian Shackel Award” in recognition of the most outstanding contribution with international impact in the field of human interaction with, and human use of, computers and information technology). (PDF)
4. Syed Z. Arshad, Jianlong Zhou, Shlomo Berkovsky, and Fang Chen. Human-In-The-Loop Machine Learning with Intelligent Multimodal Interfaces. ICML2017 Workshop on Human-In-The-Loop Machine Learning, Sydney, 2017. (PDF)
5. Z. Chen, Jianlong Zhou, X. Wang, J. Swanson, F. Chen, and D. Feng. Neural Net-Based and Satety-Oriented Visual Analytics for Time-Spatial Data. The 2017 International Joint Conference on Neural Networks (IJCNN2017), pages 1133-1140, Anchorage, AK, USA, 14-19 May 2017. (PDF)
6. S. Luo, V. W. Chu, Jianlong Zhou, F. Chen, and R. K. Wong. A Multivariate Clustering Approach for Infrastructure Failure Predictions. Proceedings of IEEE Big Data Congress (IEEEBigData 2017), Honolulu, Hawaii, USA, June 25-30, 2017. (PDF)
7. Jianlong Zhou, Syed Z. Arshad, Xiuying Wang, Zhidong Li, David Feng, and Fang Chen. End-User Development for Interactive Data Analytics: Uncertainty, Correlation and User Confidence. IEEE Transactions on Affective Computing, 2017. In press. (PDF)
8. Jianlong Zhou, Jinjun Sun, Yang Wang, and Fang Chen. Wrapping Practical Problems into a Machine Learning Framework —Using Water Pipe Failure Prediction as a Case Study. International Journal of Intelligent Systems Technologies and Applications, vol. 16, No. 3, pp.191-207, 2017. (PDF)
9. Jianlong Zhou, S. Z. Arshad S. Luo, K. Yu, S. Berkovsky, and F. Chen. Indexing Cognitive Load Using Blood Volume Pulse Features. Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA'17), Pages 2269-2275, Denver, USA, 2017. (PDF)
10. S. Luo, Jianlong Zhou, H. Duh, and F. Chen. BVP Feature Analysis for Intelligent User Interface. Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA'17), Pages 1861-1868, Denver, USA, 2017. (PDF)
11. K. Yu, S. Berkovsky, R. Taib, D. Conway, Jianlong Zhou, and F. Chen. User Trust Dynamics: An Investigation Driven by Differences in System Performance. Proceedings of the 22nd International Conference on Intelligent User Interfaces (IUI2017), Pages 307-317, Limassol, Cyprus, 2017. (PDF)
12. Jianlong Zhou, Syed Z. Arshad, Kun Yu and Fang Chen. Correlation for User Confidence in Predictive Decision Making, OzCHI2016, 2016. (PDF)
13. Jianlong Zhou, M. Asif Khawaja, Zhidong Li, Jinjun Sun, Yang Wang, and Fang Chen. Making Machine Learning Useable by Revealing Internal States Update — A Transparent Approach. International Journal of Computational Science and Engineering, Vo.13, No. 4, pp.378-389, 2016. (PDF)
14. Syed Z. Arshad, Jianlong Zhou, Constant Bridon, Fang Chen, and Yang Wang. Investigating User Confidence for Uncertainty Presentation in Predictive Decision Making. pages 352-360, OzCHI2015, Melbourne, Australia, 2015. (PDF)
15. Yoshihiro Uemura, Yusuke Kajiwara, Jianlong Zhou, Fang Chen, and Hiromitsu Shimakawa. Estimating Human Physical States from Chronological Gait Features Acquired with RFID Technology. Sensors & Transducers, vol. 194, no. 11, pp.76-83, 2015. (PDF)
16. Sharon Oviatt, Kevin Hang, Jianlong Zhou, and Fang Chen. Spoken Interruptions Signal Productive Problem Solving and Domain Expertise in Mathematics. Proceedings of the 17th ACM International Conference on Multimodal Interaction (ICMI2015), Seattle, USA, pages 311-318, November 2015.
17. Jianlong Zhou and Fang Chen. Making Machine Learning Useable. International Journal of Intelligent Systems Technologies and Applications, vol. 14, no. 2, pp.91-109, 2015. (PDF)
18. Jianlong Zhou, Ju Young Jung, and Fang Chen. Dynamic Workload Adjustments in Human-Machine Systems Based on GSR Features. J. Abascal et al. Eds., Human-Computer Interaction - INTERACT 2015, Part I, LNCS 9296, pp. 550–558, 2015. (PDF)
19. Jianlong Zhou, Constant Bridon, Fang Chen, Ahmad Khawaji, and Yang Wang. Be Informed and Be Involved: Effects of Uncertainty and Correlation on User’s Confidence in Decision Making. Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI'15), Pages 923-928, 2015. (PDF)
20. Ahmad Khawaji, Jianlong Zhou, Fang Chen, and Nadine Marcus. Using Galvanic Skin Response (GSR) to Measure Trust and Cognitive Load in the Text-Chat Environment. Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI'15), Pages 1989-1994, 2015. (PDF)
21. Jianlong Zhou, Jinjun Sun, Fang Chen, Yang Wang, Ronnie Taib, Ahmad Khawaji, and Zhidong Li. Measurable Decision Making with GSR and Pupillary Analysis for Intelligent User Interface. ACM Transactions on Computer-Human Interaction (ToCHI), vol. 21, no. 6, article no. 33, 2015. (PDF)
22. Jianlong Zhou, Kevin Hang, Sharon Oviatt, Kun Yu, and Fang Chen. Combining Empirical and Machine Learning Techniques to Predict Math Expertise using Pen Signal Features. Proceedings of the 2014 ACM workshop on Multimodal Learning Analytics Workshop and Grand Challenge(MLA 2014), pages 29-36, 2014. (PDF)
23. Ahmad Khawaji, Fang Chen, Jianlong Zhou, and Nadine Marcus. Trust and Cognitive Load in the Text-Chat Environment : The Role of Mouse Movement. Proceedings of the 26th Australian Computer-Human Interaction Conference on Designing Futures (OzCHI 2014), Pages 324-327, 2014. (PDF)
24. Ahmad Khawaji, Fang Chen, Nadine Marcus, and Jianlong Zhou. Trust and Cooperation in Text-Based Computer-Mediated Communication (CMC). Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, CollaborationOz (CHI 2013), Pages 37-40, 2013. (PDF)
25. Jianlong Zhou, Zhidong Li, Yang Wang, and Fang Chen. Transparent Machine Learning --- Revealing Internal States of Machine Learning. In Proceedings of International Conference on Intelligent User Interfaces 2013 Workshop on Interactive Machine Learning, Santa Monica, CA USA March 2013. (PDF)

Visualization and BioMedical Image Analysis

25. H. Cui, X. Wang, Jianlong Zhou, G. Gong, S. Eberl, Y. Yin, L. Wang, D. Feng, and M. Fulham. A Topo-Graph Model for Indistinct Target Boundary Definition from Anatomical Images. Computer Methods and Programs in Biomedicine, 2018.
26. H. Cui, X. Wang, Jianlong Zhou, G. Gong, Y. Yin, and D. Feng. Computational Boundary Definition by Geodesic Graph Model. IEEE International Symposium on Biomedical Imaging (ISBI2017), pp. 1201-1204, Melbourne, Australia, 18-21 April 2017. (PDF)
27. Jianlong Zhou, Zelin Li, Zongjian Zhang, Bin Liang, and Fang Chen. Visual Analytics of Relations of Multi-Attributes in Big Infrastructure Data, IEEE International Symposium on Big Data Visual Analytics 2016 (BDVA2016), pp. 31-32, 2016. (PDF)
28. Jianlong Zhou, Xiuying Wang, Hui Cui, Peng Gong, Xianglin Miao, Yalin Miao, Chun Xiao, Fang Chen and Dagan Feng. Topology-aware illumination design for volume rendering. BMC Bioinformatics, 17:309, 2016.(PDF)
29. Hui Cui, Xiuying Wang, Weiran Lin, Jianlong Zhou, Stefan Eberl, Dagan Feng, and Michael Fulham. Primary lung tumor segmentation from PET-CT volumes with spatial-topological constraint. International Journal of Computer Assisted Radiology and Surgery, vol.11, no. 1, pp. 19-29, 2016. (PDF)
30. Jianlong Zhou, Jinjun Sun, Fang Chen, Xiuying Wang, and Xianglin Miao. Safety-Oriented Visual Analytics of People Movement. Proceedings of IEEE Conference on Visual Analytics Science and Technology (VAST) 2015, Chicago, IL, USA, pages 181-182, 25-30 Oct, 2015.(PDF)
31. Hui Cui, Xiuying Wang, Jianlong Zhou, Stefan Eberl, Yong Yin, Dagan Feng, and Michael Fulham. Topology polymorphism graph for lung tumor segmentation in PET-CT images. Physics in Medicine and Biology, vol. 60, no. 12, pp. 4893-4914, 2015.
32. Hui Cui, Xiuying Wang, Jianlong Zhou, Stefan Eberl, Dagan Feng, and Michael Fulham. Improved segmentation accuracy for thoracic PET-CT in patients with NSCLC using a Multi-Graph Model (MGM). Journal of Nuclear Medicine, 2015. In press.(Best paper)
33. Jianlong Zhou, Xiuying Wang, and Dagan Feng. Importance-Aware Lighting Design in Volume Visualization. Proceedings of the 13th International Conference on Control, Automation, Robotics and Vision (ICARCV 2014), Pages 839-843, Singapore, 2014.
34. Hui Cui, Xiuying Wang, Jianlong Zhou, Michael Fulham, Stefan Eberl, and Dagan Feng. Topology Constraint Graph-Based Model for Non-Small-Cell Lung Tumor Segmentation from PET Volumes. Proceedings of IEEE International Symposium on Biomedical Imaging 2014 (ISBI 2014). (PDF)
35. Hanchuan Peng, Jianyong Tang+, Hang Xiao+, Alessandro Bria+, Jianlong Zhou+ (+ Equal contribution), Victoria Butler, Zhi Zhou, Paloma T. Gonzalez-Bellido, Seung W. Oh, Jichao Chen, Ananya Mitra, Richard Tsien, Hongkui Zeng, Giorgio Ascoli, Giulio Iannello, Michael Hawrylycz, Eugene Myers, and Fuhui Long. Virtual Finger Boosts Three-Dimensional Imaging and Microsurgery as well as Terabyte Volume Image Visualization and Analysis. Nature Communications, 5:4342, July 2014. (PDF) (BibTex) (SCI indexed journal)
36. Jianlong Zhou, Chun Xiao, and Masahiro Takatsuka. A Multiple Dimensional Importance Metric for Contour Tree Simplification. Journal of Visualization, volume 16, no. 4, pp.341-349, 2013. (PDF) (BibTex) (SCI indexed journal)
37. Fuhui Long, Jianlong Zhou, and Hanchuan Peng. Visualization and Analysis of 3D Microscopic Images. Plos Computational Biology. 8(6), 2012. (PDF) (BibTex) (SCI indexed journal)
38. Jianlong Zhou and Masahiro Takatsuka. Automatic transfer function generation using contour tree controlled residue flow model and color harmonics. IEEE Transactions on Visualization and Computer Graphics, 15(6):1481–1488, November-December 2009. (PDF) (BibTex) (SCI, IF 1.922)
39. Jianlong Zhou and Masahiro Takatsuka. Structural relationship preservation and depiction in volume rendering. International Journal of Computer and Information Science, Vol.10, No.2, 23-32, 2009.
40. Jianlong Zhou, Chun Xiao, Zhiyan Wang, and Masahiro Takatsuka. A concept of volume rendering guided search process to analyze medical data set. Computerized Medical Imaging and Graphics, Volume 32, Issue 2, pp. 140-149, March 2008. (PDF) (SCI, IF 1.11)
41. Jianlong Zhou, Zhiyan Wang, and Chun Xiao. Focal Region Based Volume Rendering Using Texture Mapping and GPU Based Approach (in Chinese). Journal of Computer-Aided Design and Computer Graphics, Vol. 20, No. 1, pp. 32-37, 2008.
42. Jianlong Zhou and Zhiyan Wang. Visualization of internal structures of volumetric data and applications in 3D medical image analysis (in Chinese). Chinese Journal of Image and Graphics, Vol. 13, No 8, 1570-1575, August 2008.
43. Jianlong Zhou, Zhiyan Wang and Klaus D. Tönnies. Focal region-based volume rendering. International Journal of Pattern Recognition and Artificial Intelligence, Vol. 20, No.5, 665-677, 2006. (PDF) (SCI, IF 0.685)
44. Jianlong Zhou, Andreas Döring, and Klaus D. Tönnies. Control of object visibility in volume rendering --- a distance based approach. International Journal of Image and Graphics, Vol. 5, No. 4, pp.699-714, 2005. (PDF)
45. Jianlong Zhou and Masahiro Takatsuka. Structural relationship preservation in volume rendering. In R. Lee, G. Hu, and H. Miao, editors, Computer and Information Science 2009, volume 208 of Studies in Computational Intelligence, chapter 21, pages 229–238. Springer, 2009.
46. Jianlong Zhou, and Chun Xiao. Similarity-Driven Multi-Level Partial Contour Tree Simplification. In Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'12)，2012.
47. Jianlong Zhou and Masahiro Takatsuka. Importance Driven Contour Tree Simplification. In Proceedings of 3rd International Conference on Computational Intelligence and Industrial Application 2010. Vol. 4, pages 179-182, December 2010, Wuhan, China.
48. Jianlong Zhou, Zhiyan Wang, and Chun Xiao. Perceptive factors for volume visualization in medical image analysis. In Proceedings of IEEE/ICME International Conference on Complex Medical Engineering 2007, pages 574-580, May 2007, Beijing, China. Studies in Computational Intelligence, Springer.
49. Jianlong Zhou. The roles of perception for volume visualization and designing volume visualization methods based on perceptual factors. In Proceedings of the Second ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization (APGV2005), August 2005, ACM Press, A Coruña, Spain.
50. Jianlong Zhou, Andreas Döring, and Klaus D. Tönnies. Distance based enhancement for focal region based volume rendering. In Proceedings of Bildverarbeitung für die Medizin 2004, pages 199-203, March 2004, Berlin, Germany. (PDF)
51. Jianlong Zhou and Klaus D. Tönnies. Focal region-based volume rendering. In Proceedings of the 9th International Workshop on Systems, Signals and Image Processing, pages 394-397, November 2002, Manchester, U.K. (PDF)
52. Jianlong Zhou, Manfred Hinz, and Klaus D. Tönnies. Focal region-guided feature-based volume rendering. In Proceedings 1st International Symposium on 3D Data Processing Visualization and Transmission (3DPVT), pages 87-90, June 2002, Padova, Italy. (PDF)
53. Jianlong Zhou, Manfred Hinz, and Klaus D. Tönnies. Hybrid focal region-based volume rendering of medical data. In Bildverarbeitung für die Medizin 2002, pages 113-116, March 2002, Leipzig, Germany. (PDF)

Augmented Reality

54. Jianlong Zhou, Ivan Lee, Bruce Thomas, Roland Menassa, Anthony Farrant and Andrew Sansome. In-Situ Support for Automotive Manufacturing Using Spatial Augmented Reality. International Journal of Virtual Reality. 11(1): 33-41, 2012. (PDF) (BibTex)
55. Jianlong Zhou, Ivan Lee, Bruce Thomas and Andrew Sansome. Facilitating Collaboration with Laser Projector-Based Spatial Augmented Reality in Industrial Applications. In Mobile Collaborative Augmented Reality: Recent Trends, 2010, ISBN 978-1-4419-9844-6, pages 149-160, Springer. (PDF)
56. Jianlong Zhou, Ivan Lee, Bruce Thomas, Roland Menassa, Anthony Farrant and Andrew Sansome. Applying Spatial Augmented Reality to Facilitate In-Situ Support for Automotive Spot Welding Inspection. Proceedings of ACM SIGGRAPH The 10th International Conference on Virtual Reality Continuum and Its Applications in Industry 2011, pages 195-200, Hongkong, China. (PDF)
57. Jianlong Zhou, Ivan Lee, Bruce Thomas and Andrew Sansome. Spatial Augmented Reality for In-Situ Support for the Automotive Industry. In Proceedings of AutoCRC Technical Conference 2011, July 2011.

Published Books

58. Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji, and Dan Conway. Robust Multimodal Cognitive Load Measurement. Springer, 2016, 254pp. ISBN: 978-3-319-31698-7.
59. Jianlong Zhou. Gaining Insights Into Volumetric Data Visualization: A Semi-Automatic Transfer Function Generation Approach Using Contour Tree Analyses. LAP LAMBERT Academic Publishing, Germany, May 2012, 184pp. ISBN: 978-3-659-13484-5.
60. Jianlong Zhou, Chun Xiao. Computer Graphics and OpenGL Programming (in Chinese). Guangzhou: South China University of Technology Press, China, July 2007, 365pp. ISBN: 7562326630.
61. Jianlong Zhou. Mastering AutoCAD® 2000 (in Chinese). Chongqing: Chongqing University Press, China, Sept. 1999, 424pp. ISBN: 7562420610.
62. Jianlong Zhou, and Xiaoyong Tan. Mastering AutoCAD® R14 (in Chinese). Chongqing: Chongqing University Press, China, Sept. 1998, 344pp. ISBN: 726241873.

Technical Reports

63. Jianlong Zhou and Masahiro Takatsuka. Contour tree controlled automatic transfer function generation. The University of Sydney’s Research Conversazione 2009, October 2009, Sydney, Australia. (PDF)
64. Jianlong Zhou and Masahiro Takatsuka. Importance-driven contour tree simplification. The University of Sydney’s Research Conversazione 2008, October 2008, Sydney, Australia.
65. Jianlong Zhou and Masahiro Takatsuka. Contour tree simplification based on a combined approach. Technical Report TR 624. School of Information Engineering, The University of Sydney, Australia. ISBN 9781742100593. June 2008. (PDF)
66. Jianlong Zhou and Masahiro Takatsuka. A concept of volume rendering guided search process to analyze medical data set. The University of Sydney’s Research Conversazione 2007, October 2007, Sydney, Australia.
67. Jianlong Zhou, Andreas Döring, and Klaus D. Tönnies. Distance transfer function based rendering. Technical Report, Computer Vision Group, School of Computer Science, University of Magdeburg, Germany, 2004. (PDF)
68. Jianlong Zhou and Klaus D. Tönnies. State-of-the-art for volume rendering. Technical Report. Computer Vision Group, School of Computer Science, University of Magdeburg, Germany, 2003. (PDF)

Published Books Information