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2020 – today
- 2024
[c28]Victor Obarafor, Mandi Qi, Leishi Zhang:
Feed-forward ANN with Random Forest Technique for Identifying Malicious Internet of Things Network Intrusion. ICCR 2024: 1-6- 2023
- [c27]Sam Hepenstal
, Leishi Zhang, B. L. William Wong:
The Impact of System Transparency on Analytical Reasoning. CHI Extended Abstracts 2023: 274:1-274:6 - [c26]Badeea Al Sukhni, Soumya K. Manna, Jugal M. Dave, Leishi Zhang:
Exploring Optimal Set of Features in Machine Learning for Improving IoT Multilayer Security. WF-IoT 2023: 1-6 - 2022
- [c25]Badeea Al Sukhni, Jugal M. Dave, Soumya K. Manna, Leishi Zhang:
Investigating the Security Issues of Multi-layer IoT Attacks Using Machine Learning Techniques. HCCS 2022: 1-9 - 2021
- [j14]Sam Hepenstal, Leishi Zhang, Neesha Kodagoda, B. L. William Wong:
Developing Conversational Agents for Use in Criminal Investigations. ACM Trans. Interact. Intell. Syst. 11(3-4): 25:1-25:35 (2021) - [c24]Sam Hepenstal, Leishi Zhang, B. L. William Wong:
An analysis of expertise in intelligence analysis to support the design of Human-Centered Artificial Intelligence. SMC 2021: 107-112 - 2020
- [c23]Sam Hepenstal, Leishi Zhang, Neesha Kodagoda, B. L. William Wong:
Pan: Conversational Agent for Criminal Investigations. IUI Companion 2020: 134-135 - [c22]Sam Hepenstal, Leishi Zhang, Neesha Kodagoda, B. L. William Wong:
What are you Thinking? Explaining Conversation Agent Responses for Criminal Investigations. ExSS-ATEC@IUI 2020
2010 – 2019
- 2019
- [c21]Sam Hepenstal, Neesha Kodagoda, Leishi Zhang, Pragya Paudyal, B. L. William Wong:
Algorithmic Transparency of Conversational Agents. IUI Workshops 2019 - 2018
- [j13]Wolfgang Jentner, Dominik Sacha, Florian Stoffel, Geoffrey P. Ellis, Leishi Zhang, Daniel A. Keim:
Making machine intelligence less scary for criminal analysts: reflections on designing a visual comparative case analysis tool. Vis. Comput. 34(9): 1225-1241 (2018) - 2017
- [j12]Dominik Sacha, Michael Sedlmair, Leishi Zhang, John Aldo Lee, Jaakko Peltonen, Daniel Weiskopf, Stephen C. North, Daniel A. Keim:
What you see is what you can change: Human-centered machine learning by interactive visualization. Neurocomputing 268: 164-175 (2017) - [j11]Lev Nachmanson, Arlind Nocaj, Sergey Bereg, Leishi Zhang, Alexander E. Holroyd:
Node Overlap Removal by Growing a Tree. J. Graph Algorithms Appl. 21(5): 857-872 (2017) - [j10]Kai Xu, Leishi Zhang, Daniel Pérez, Phong H. Nguyen, Adam Ogilvie-Smith:
Evaluating Interactive Visualization of Multidimensional Data Projection with Feature Transformation. Multimodal Technol. Interact. 1(3): 13 (2017) - [j9]Dominik Sacha, Leishi Zhang, Michael Sedlmair, John Aldo Lee, Jaakko Peltonen, Daniel Weiskopf, Stephen C. North, Daniel A. Keim:
Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis. IEEE Trans. Vis. Comput. Graph. 23(1): 241-250 (2017) - [c20]Kholod Alsufiani, Simon Attfield, Leishi Zhang:
Towards an instrument for measuring sensemaking and an assessment of its theoretical features. BCS HCI 2017 - [c19]Dominik Sacha, Wolfgang Jentner, Leishi Zhang, Florian Stoffel, Geoffrey P. Ellis:
Visual Comparative Case Analytics. EuroVA@EuroVis 2017: 49-53 - 2016
- [c18]Dominik Sacha, Michael Sedlmair, Leishi Zhang, John Aldo Lee, Daniel Weiskopf, Stephen C. North, Daniel A. Keim:
Human-centered machine learning through interactive visualization: review and open challenges. ESANN 2016 - [c17]Lev Nachmanson, Arlind Nocaj, Sergey Bereg, Leishi Zhang, Alexander E. Holroyd:
Node Overlap Removal by Growing a Tree. GD 2016: 33-43 - [c16]Junayed Islam, Craig Anslow, Kai Xu, B. L. William Wong, Leishi Zhang:
Towards Analytical Provenance Visualization for Criminal Intelligence Analysis. CGVC 2016: 17-24 - [c15]Leishi Zhang, Chris Rooney, Lev Nachmanson, B. L. William Wong, Bum Chul Kwon, Florian Stoffel, Michael Hund, Nadeem Qazi, Uchit Singh, Daniel A. Keim:
Spherical Similarity Explorer for Comparative Case Analysis. Visualization and Data Analysis 2016: 1-10 - [i1]Lev Nachmanson, Arlind Nocaj, Sergey Bereg, Leishi Zhang, Alexander E. Holroyd:
Node Overlap Removal by Growing a Tree. CoRR abs/1608.02653 (2016) - 2015
- [j8]Daniel Pérez, Leishi Zhang, Matthias Schäfer, Tobias Schreck, Daniel A. Keim, Ignacio Díaz Blanco:
Interactive feature space extension for multidimensional data projection. Neurocomputing 150: 611-626 (2015) - 2014
- [c14]Neesha Kodagoda, Simon Attfield, Phong Hai Nguyen, Leishi Zhang, Kai Xu, B. L. William Wong, Adrian Wagstaff, Graham Phillips, James Bullock, John Marshall, Stewart Bertram:
POLAR-An Interactive Patterns of Life Visualisation Tool for Intelligence Analysis. JISIC 2014: 327 - 2013
- [c13]Matthias Schäfer, Leishi Zhang, Tobias Schreck, Andrada Tatu, John Aldo Lee, Michel Verleysen, Daniel A. Keim:
Improving projection-based data analysis by feature space transformations. Visualization and Data Analysis 2013: 86540H - [c12]Daniel Pérez, Leishi Zhang, Matthias Schäfer, Tobias Schreck, Daniel A. Keim, Ignacio Díaz Blanco:
Interactive Visualization and Feature Transformation for Multidimensional Data Projection. VAMP@EuroVis 2013 - 2012
- [j7]Daniel A. Keim, Leishi Zhang, Milos Krstajic, Svenja Simon:
Solving Problems with Visual Analytics: Challenges and Applications. J. Multim. Process. Technol. 3(1): 1-11 (2012) - [j6]Peter Rodgers, Leishi Zhang, Helen C. Purchase:
Wellformedness Properties in Euler Diagrams: Which Should Be Used? IEEE Trans. Vis. Comput. Graph. 18(7): 1089-1100 (2012) - [c11]Leishi Zhang, Andreas Stoffel, Michael Behrisch, Sebastian Mittelstädt, Tobias Schreck, René Pompl, Stefan Weber, Holger Last, Daniel A. Keim:
Visual analytics for the big data era - A comparative review of state-of-the-art commercial systems. IEEE VAST 2012: 173-182 - [c10]Leishi Zhang, Jasna Kuljis, Xiaohui Liu:
Visualization of high throughput biological data. ITI 2012: 163-168 - [c9]Josua Krause, Marc Spicker, Leonard Wörteler, Matthias Schäfer, Leishi Zhang, Hendrik Strobelt:
Interactive Visualization for Real-time Public Transport Journey Planning. SIGRAD 2012: 95-98 - [c8]Andreas Stoffel, Leishi Zhang, Stefan Hagen Weber, Daniel A. Keim:
AMPLIO VQA - A Web Based Visual Query Analysis System for Micro Grid Energy Mix Planning. EuroVA@EuroVis 2012 - 2011
- [j5]Gem Stapleton, Peter Rodgers, John Howse, Leishi Zhang:
Inductively Generating Euler Diagrams. IEEE Trans. Vis. Comput. Graph. 17(1): 88-100 (2011) - [j4]Gem Stapleton, Leishi Zhang, John Howse, Peter Rodgers:
Drawing Euler Diagrams with Circles: The Theory of Piercings. IEEE Trans. Vis. Comput. Graph. 17(7): 1020-1032 (2011) - [c7]Daniel A. Keim, Leishi Zhang:
Solving problems with visual analytics: challenges and applications. I-KNOW 2011: 1 - 2010
- [c6]Gem Stapleton, Leishi Zhang, John Howse, Peter Rodgers:
Drawing Euler Diagrams with Circles. Diagrams 2010: 23-38 - [c5]Peter Rodgers, Gem Stapleton, John Howse, Leishi Zhang:
Euler Graph Transformations for Euler Diagram Layout. VL/HCC 2010: 111-118
2000 – 2009
- 2008
- [j3]Gem Stapleton, John Howse, Peter Rodgers, Leishi Zhang:
Generating Euler Diagrams from Existing Layouts. Electron. Commun. Eur. Assoc. Softw. Sci. Technol. 13 (2008) - [j2]Leishi Zhang, Jasna Kuljis, Xiaohui Liu:
Information Visualization for DNA Microarray Data Analysis: A Critical Review. IEEE Trans. Syst. Man Cybern. Part C 38(1): 42-54 (2008) - [c4]Peter Rodgers, Leishi Zhang, Andrew Fish:
General Euler Diagram Generation. Diagrams 2008: 13-27 - [c3]Peter Rodgers, Leishi Zhang, Gem Stapleton, Andrew Fish:
Embedding Wellformed Euler Diagrams. IV 2008: 585-593 - 2005
- [j1]Weiguo Sheng, Stephen Swift, Leishi Zhang, Xiaohui Liu:
A weighted sum validity function for clustering with a hybrid niching genetic algorithm. IEEE Trans. Syst. Man Cybern. Part B 35(6): 1156-1167 (2005) - [c2]Leishi Zhang, Weiguo Sheng, Xiaohui Liu:
3D visualization of gene clusters and networks. Visualization and Data Analysis 2005: 316-326 - 2004
- [c1]Leishi Zhang, Xiaohui Liu, Weiguo Sheng:
3D Visualization of gene Clusters. ICCVG 2004: 349-354
Coauthor Index
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