Jianlong Zhou - RankMe

135 papers A* 4A 4B 5C 4Misc 9Journal 66Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing collaborative learning through AI-powered feedback systems. Int. J. Data Sci. Anal. Xin Qi, Jianlong Zhou, Yifei Dong, Fang Chen
2026	A*	`conf`	RcAE: Recursive Reconstruction Framework for Unsupervised Industrial Anomaly Detection. AAAI Rongcheng Wu, Hao Zhu, Shiying Zhang, Mingzhe Wang, Zhidong Li, Hui Li, Jianlong Zhou, Jiangtao Cui, Fang Chen, Pingyang Sun, Qiyu Liao, Ye Lin
2026	J	`jnl`	T2VTree: User-Centered Visual Analytics for Agent-Assisted Thought-to-Video Authoring. CoRR Zhuoyun Zheng, Yu Dong, Gaorong Liang, Guan Li, Guihua Shan, Shiyu Cheng, Dong Tian, Jianlong Zhou, Jie Liang
2025	J	`jnl`	A Survey of TinyML Applications in Beekeeping for Hive Monitoring and Management. CoRR Willy Sucipto, Jianlong Zhou, Ray Seung Min Kwon, Fang Chen
2025	J	`jnl`	ABE: A Unified Framework for Robust and Faithful Attribution-Based Explainability. CoRR Zhiyu Zhu, Jiayu Zhang, Zhibo Jin, Fang Chen, Jianlong Zhou
2025	J	`jnl`	Can LLM Assist in the Evaluation of the Quality of Machine Learning Explanations? CoRR Bo Wang, Yiqiao Li, Jianlong Zhou, Fang Chen
2025	J	`jnl`	DeFusion: An Effective Decoupling Fusion Network for Multi-Modal Pregnancy Prediction. CoRR Xueqiang Ouyang, Jia Wei, Wenjie Huo, Xiaocong Wang, Rui Li, Jianlong Zhou
2025	J	`jnl`	E-LENS: User Requirements-Oriented AI Ethics Assurance. CoRR Jianlong Zhou, Fang Chen
2025	—	`conf`	Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-Based Approach. FC (2) Régnier Avice, Bernhard Haslhofer, Zhidong Li, Jianlong Zhou
2025	J	`jnl`	Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach. CoRR Régnier Avice, Bernhard Haslhofer, Zhidong Li, Jianlong Zhou
2025	—	`conf`	MARSNet: Scalable Deep Coding of LiDAR Point Clouds via Multimodal and Residual Learning. ICIG (1) Yanji Huang, Runnan Huang, Jianlong Zhou, Yingqi Zhuo, Yanshan Li, Miaohui Wang
2025	A*	`conf`	Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability. ICLR Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Nan Yang, Jiahao Huang, Jianlong Zhou, Fang Chen
2025	J	`jnl`	Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability. CoRR Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Nan Yang, Jiahao Huang, Jianlong Zhou, Fang Chen
2025	J	`jnl`	RcAE: Recursive Reconstruction Framework for Unsupervised Industrial Anomaly Detection. CoRR Rongcheng Wu, Hao Zhu, Shiying Zhang, Mingzhe Wang, Zhidong Li, Hui Li, Jianlong Zhou, Jiangtao Cui, Fang Chen, Pingyang Sun, Qiyu Liao, Ye Lin
2025	A*	`conf`	Reproducibility Companion Paper: Enhancing Model Interpretability with Local Attribution over Global Exploration. ACM Multimedia Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Fang Chen, Jianlong Zhou, Vijay John, Florian Spiess
2025	A*	`conf`	Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution. ICML Jiayu Zhang, Xinyi Wang, Zhibo Jin, Zhiyu Zhu, Jianlong Zhou, Fang Chen, Huaming Chen
2025	—	`conf`	Synergistic MARL: Unifying Physics-Informed, Meta Learning, and Hybrid Learning to Outperform Communication-Based Coordination. AI (2) Yiyao Zhang, Yifei Dong, Kun Yu, Wei Liu, Jianlong Zhou, Bin Liang, Fang Chen
2025	J	`jnl`	The User-first Approach to AI Ethics: Preferences for Ethical Principles in AI Systems across Cultures and Contexts. CoRR Benjamin J. Carroll, Jianlong Zhou, Paul F. Burke, Sabine Ammon
2024	J	`jnl`	AI Ethics in Smart Homes: Progress, User Requirements and Challenges. CoRR Liqian You, Jianlong Zhou, Zhiwei Li, Fang Chen
2024	J	`jnl`	Attribution for Enhanced Explanation with Transferable Adversarial eXploration. CoRR Zhiyu Zhu, Jiayu Zhang, Zhibo Jin, Huaming Chen, Jianlong Zhou, Fang Chen
2024	—	`conf`	Chain of Thought Prompting in Vision-Language Model for Vision Reasoning Tasks. AI (2) Jianjiu Ou, Jianlong Zhou, Yifei Dong, Fang Chen
2024	J	`jnl`	Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack. CoRR Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Chenyu Zhang, Jiahao Huang, Jianlong Zhou, Fang Chen
2024	—	`conf`	Enhancing Explainability of Deep Learning-Based ECG Diagnosis Using Large Language Models. ICAAI Shi Wu, Jianlong Zhou, Yifei Dong, Fang Chen
2024	J	`jnl`	Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A Comprehensive Framework for Gradient Editing. CoRR Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Yuchen Zhang, Jiahao Huang, Jianlong Zhou, Fang Chen
2024	J	`jnl`	Explaining Imitation Learning Through Frames. IEEE Intell. Syst. Boyuan Zheng, Jianlong Zhou, Chunjie Liu, Yiqiao Li, Fang Chen
2024	J	`jnl`	Few-Shot Stereo Matching with High Domain Adaptability Based on Adaptive Recursive Network. Int. J. Comput. Vis. Rongcheng Wu, Mingzhe Wang, Zhidong Li, Jianlong Zhou, Fang Chen, Xuan Wang, Changming Sun
2024	Misc	`conf`	GRADIOOD: A Framework for Out-of-Distribution Sample Identification Using Signed Gradients for Robust Models. AusDM Dalha Alotaibi, Jianlong Zhou, Yifei Dong, Fang Chen
2024	B	`conf`	Genetic Imitation Learning by Reward Extrapolation. IJCNN Boyuan Zheng, Jianlong Zhou, Jieping Ma, Fang Chen
2024	J	`jnl`	Imitation Learning: Progress, Taxonomies and Challenges. IEEE Trans. Neural Networks Learn. Syst. Boyuan Zheng, Sunny Verma, Jianlong Zhou, Ivor W. Tsang, Fang Chen
2024	J	`jnl`	Interpretable Robotic Manipulation from Language. CoRR Boyuan Zheng, Jianlong Zhou, Fang Chen
2024	J	`jnl`	Reliable and Faithful Generative Explainers for Graph Neural Networks. Mach. Learn. Knowl. Extr. Yiqiao Li, Jianlong Zhou, Boyuan Zheng, Niusha Shafiabady, Fang Chen
2024	Misc	`conf`	Robust Weed Detection with Evidential Neural Network-Based Uncertainty Quantification. AusDM Jichao Kan, Zhidong Li, Jianlong Zhou, Fang Chen
2024	B	`conf`	SpamVis: A Visual Interactive System for Spam Review Detection. KES Thanh Thao Lam Nguyen, Nu Uyen Phuong Le, Md. Rafiqul Islam, Md. Kowsar Hossain Sakib, Shanjita Akter Prome, Cesar Sanín, Edward Szczerbicki, Jianlong Zhou
2023	A	`conf`	ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks. CIKM Yiqiao Li, Jianlong Zhou, Yifei Dong, Niusha Shafiabady, Fang Chen
2023	J	`jnl`	ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks. CoRR Yiqiao Li, Jianlong Zhou, Yifei Dong, Niusha Shafiabady, Fang Chen
2023	J	`jnl`	AI Accountability: Approaches, Affecting Factors, and Challenges. Computer Ashwin Kumar Raja, Jianlong Zhou
2023	J	`jnl`	AI ethics: from principles to practice. AI Soc. Jianlong Zhou, Fang Chen
2023	J	`jnl`	Artificial Intelligence Ethics and Trust: From Principles to Practice. IEEE Intell. Syst. Fang Chen, Jianlong Zhou, Andreas Holzinger, Kenneth R. Fleischmann, Simone Stumpf
2023	—	`conf`	Effects of Uncertainty and Knowledge Graph on Perception of Fairness. IUI Companion Jianlong Zhou, Boyuan Zheng, Fang Chen
2023	—	`conf`	Embedded CR Assisted NOMA for IoT Resource Allocation: A Case Study of Vehicle Networks. VTC Fall Mingming Zheng, Jianlong Zhou, Guiyang Pu, Ruoxu Wang, Wei Peng
2023	J	`jnl`	Ethical ChatGPT: Concerns, Challenges, and Commandments. CoRR Jianlong Zhou, Heimo Müller, Andreas Holzinger, Fang Chen
2023	J	`jnl`	Explaining Imitation Learning through Frames. CoRR Boyuan Zheng, Jianlong Zhou, Chunjie Liu, Yiqiao Li, Fang Chen
2023	J	`jnl`	Full-Resolution Lung Nodule Localization From Chest X-Ray Images Using Residual Encoder-Decoder Networks. IEEE Access Michael J. Horry, Subrata Chakraborty, Biswajeet Pradhan, Manoranjan Paul, Jing Zhu, Prabal Datta Barua, Hasan Saeed Mir, Fang Chen, Jianlong Zhou, U. Rajendra Acharya
2023	J	`jnl`	Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks. CoRR Michael James Horry, Subrata Chakraborty, Biswajeet Pradhan, Manoranjan Paul, Jing Zhu, Prabal Datta Barua, U. Rajendra Acharya, Fang Chen, Jianlong Zhou
2023	J	`jnl`	GANExplainer: GAN-based Graph Neural Networks Explainer. CoRR Yiqiao Li, Jianlong Zhou, Boyuan Zheng, Fang Chen
2023	J	`jnl`	Genetic Imitation Learning by Reward Extrapolation. CoRR Boyuan Zheng, Jianlong Zhou, Fang Chen
2023	—	`conf`	Impact of Fidelity and Robustness of Machine Learning Explanations on User Trust. AI (2) Bo Wang, Jianlong Zhou, Yiqiao Li, Fang Chen
2023	J	`jnl`	Learning multi-modal brain tumor segmentation from privileged semi-paired MRI images with curriculum disentanglement learning. Comput. Biol. Medicine Zecheng Liu, Jia Wei, Rui Li, Jianlong Zhou
2023	J	`jnl`	Leveraging twitter data to understand nurses' emotion dynamics during the COVID-19 pandemic. Health Inf. Sci. Syst. Jianlong Zhou, Suzanne Sheppard-Law, Chun Xiao, Judith Smith, Aimee Lamb, Carmen Axisa, Fang Chen
2023	—	`conf`	SFusion: Self-attention Based N-to-One Multimodal Fusion Block. MICCAI (2) Zecheng Liu, Jia Wei, Rui Li, Jianlong Zhou
2023	C	`conf`	SIDVis: Designing Visual Interactive System for Analyzing Suicide Ideation Detection. IV Md. Rafiqul Islam, Md. Kowsar Hossain Sakib, Anwaar Ulhaq, Shanjita Akter, Jianlong Zhou, David Asirvatham
2022	J	`jnl`	A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics. CoRR Yiqiao Li, Jianlong Zhou, Sunny Verma, Fang Chen
2022	J	`jnl`	A Survey of Facial Capture for Virtual Reality. IEEE Access Lihang Wen, Jianlong Zhou, Weidong Huang, Fang Chen
2022	Misc	`conf`	Are Graph Neural Network Explainers Robust to Graph Noises? AI Yiqiao Li, Sunny Verma, Shuiqiao Yang, Jianlong Zhou, Fang Chen
2022	Misc	`conf`	Does a Compromise on Fairness Exist in Using AI Models? AI Jianlong Zhou, Zhidong Li, Chun Xiao, Fang Chen
2022	C	`conf`	Effects of Fairness and Explanation on Trust in Ethical AI. CD-MAKE Alessa Angerschmid, Kevin Theuermann, Andreas Holzinger, Fang Chen, Jianlong Zhou
2022	J	`jnl`	Effects of Font Style and Font Color in News Text on User Cognitive Load in Intelligent User Interfaces. IEEE Access Jianlong Zhou, Xianglin Miao, Feijuan He, Yalin Miao
2022	J	`jnl`	Fairness and Explanation in AI-Informed Decision Making. Mach. Learn. Knowl. Extr. Alessa Angerschmid, Jianlong Zhou, Kevin Theuermann, Fang Chen, Andreas Holzinger
2022	J	`jnl`	Role of Social Media in Technology Adoption for Sustainable Agriculture Practices: Evidence from Twitter Analytics. Commun. Assoc. Inf. Syst. Jitendra Yadav, Avikshit Yadav, Madhvendra Misra, Nripendra P. Rana, Jianlong Zhou
2021	J	`jnl`	Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia. IEEE Trans. Comput. Soc. Syst. Jianlong Zhou, Hamad Zogan, Shuiqiao Yang, Shoaib Jameel, Guandong Xu, Fang Chen
2021	—	`conf`	ExVis: Explainable Visual Decision Support System for Risk Management. BESC Md. Rafiqul Islam, Jiaming Zhang, Md. Hamjajul Ashmafee, Imran Razzak, Jianlong Zhou, Xianzhi Wang, Guandong Xu
2021	J	`jnl`	Examination of Community Sentiment Dynamics due to COVID-19 Pandemic: A Case Study from a State in Australia. SN Comput. Sci. Jianlong Zhou, Shuiqiao Yang, Chun Xiao, Fang Chen
2021	J	`jnl`	Facilitating Machine Learning Model Comparison and Explanation Through A Radial Visualisation. CoRR Jianlong Zhou, Weidong Huang, Fang Chen
2021	J	`jnl`	Fs-DSM: Few-Shot Diagram-Sentence Matching via Cross-Modal Attention Graph Model. IEEE Trans. Image Process. Xin Hu, Lingling Zhang, Jun Liu, Qinghua Zheng, Jianlong Zhou
2021	J	`jnl`	Imitation Learning: Progress, Taxonomies and Opportunities. CoRR Boyuan Zheng, Sunny Verma, Jianlong Zhou, Ivor W. Tsang, Fang Chen
2021	J	`jnl`	Multi-task learning by hierarchical Dirichlet mixture model for sparse failure prediction. Int. J. Data Sci. Anal. Simon Luo, Victor W. Chu, Zhidong Li, Yang Wang, Jianlong Zhou, Fang Chen, Raymond K. Wong
2021	—	`conf`	Understanding Relations Between Perception of Fairness and Trust in Algorithmic Decision Making. BESC Jianlong Zhou, Sunny Verma, Mudit Mittal, Fang Chen
2021	J	`jnl`	Understanding Relations Between Perception of Fairness and Trust in Algorithmic Decision Making. CoRR Jianlong Zhou, Sunny Verma, Mudit Mittal, Fang Chen
2020	B	`conf`	A Radial Visualisation for Model Comparison and Feature Identification. PacificVis Jianlong Zhou, Weidong Huang, Fang Chen
2020	—	`conf`	A Survey on Ethical Principles of AI and Implementations. SSCI Jianlong Zhou, Fang Chen, Adam Berry, Mike Reed, Shujia Zhang, Siobhan Savage
2020	J	`jnl`	Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia. CoRR Jianlong Zhou, Hamad Zogan, Shuiqiao Yang, Shoaib Jameel, Guandong Xu, Fang Chen
2020	J	`jnl`	Effects of personality traits on user trust in human-machine collaborations. J. Multimodal User Interfaces Jianlong Zhou, Simon Luo, Fang Chen
2020	J	`jnl`	Examination of community sentiment dynamics due to covid-19 pandemic: a case study from Australia. CoRR Jianlong Zhou, Shuiqiao Yang, Chun Xiao, Fang Chen
2020	—	`conf`	Towards Explainability for AI Fairness. xxAI@ICML Jianlong Zhou, Fang Chen, Andreas Holzinger
2020	J	`jnl`	XTQA: Span-Level Explanations of the Textbook Question Answering. CoRR Jie Ma, Jun Liu, Junjun Li, Qinghua Zheng, Qingyu Yin, Jianlong Zhou, Yi Huang
2019	A	`conf`	Do I trust my machine teammate?: an investigation from perception to decision. IUI Kun Yu, Shlomo Berkovsky, Ronnie Taib, Jianlong Zhou, Fang Chen
2019	—	`conf`	Effects of Influence on User Trust in Predictive Decision Making. CHI Extended Abstracts Jianlong Zhou, Zhidong Li, Huaiwen Hu, Kun Yu, Fang Chen, Zelin Li, Yang Wang
2019	—	`conf`	Multitask Learning for Sparse Failure Prediction. PAKDD (1) Simon Luo, Victor W. Chu, Zhidong Li, Yang Wang, Jianlong Zhou, Fang Chen, Raymond K. Wong
2019	C	`conf`	Physiological Indicators for User Trust in Machine Learning with Influence Enhanced Fact-Checking. CD-MAKE Jianlong Zhou, Huaiwen Hu, Zhidong Li, Kun Yu, Fang Chen
2018	—	`ch.`	2D Transparency Space - Bring Domain Users and Machine Learning Experts Together. Human and Machine Learning Jianlong Zhou, Fang Chen
2018	J	`jnl`	A topo-graph model for indistinct target boundary definition from anatomical images. Comput. Methods Programs Biomed. Hui Cui, Xiuying Wang, Jianlong Zhou, Guanzhong Gong, Stefan Eberl, Yong Yin, Lisheng Wang, Dagan Feng, Michael J. Fulham
2018	—	`ch.`	Do I Trust a Machine? Differences in User Trust Based on System Performance. Human and Machine Learning Kun Yu, Shlomo Berkovsky, Dan Conway, Ronnie Taib, Jianlong Zhou, Fang Chen
2018	J	`jnl`	Dynamic Handwriting Signal Features Predict Domain Expertise. ACM Trans. Interact. Intell. Syst. Sharon L. Oviatt, Kevin Hang, Jianlong Zhou, Kun Yu, Fang Chen
2018	J	`jnl`	End-User Development for Interactive Data Analytics: Uncertainty, Correlation and User Confidence. IEEE Trans. Affect. Comput. Jianlong Zhou, Syed Z. Arshad, Xiuying Wang, Zhidong Li, Dagan Feng, Fang Chen
2018	—	`book`	Human and Machine Learning - Visible, Explainable, Trustworthy and Transparent Human and Machine Learning Jianlong Zhou, Fang Chen
2018	—	`ch.`	Multimodal behavioral and physiological signals as indicators of cognitive load. The Handbook of Multimodal-Multisensor Interfaces, Volume 2 (2) Jianlong Zhou, Kun Yu, Fang Chen, Yang Wang, Syed Z. Arshad
2018	—	`ch.`	Revealing User Confidence in Machine Learning-Based Decision Making. Human and Machine Learning Jianlong Zhou, Kun Yu, Fang Chen
2018	—	`ch.`	Water Pipe Failure Prediction: A Machine Learning Approach Enhanced By Domain Knowledge. Human and Machine Learning Bang Zhang, Ting Guo, Lelin Zhang, Peng Lin, Yang Wang, Jianlong Zhou, Fang Chen
2017	—	`conf`	A Multivariate Clustering Approach for Infrastructure Failure Predictions. BigData Congress Simon Luo, Victor W. Chu, Jianlong Zhou, Fang Chen, Raymond K. Wong, Weidong Huang
2017	—	`conf`	BVP Feature Signal Analysis for Intelligent User Interface. CHI Extended Abstracts Simon Luo, Jianlong Zhou, Henry Been-Lirn Duh, Fang Chen
2017	—	`conf`	Computational boundary definition by geodesic graph model. ISBI Hui Cui, Xiuying Wang, Jianlong Zhou, Guanzhong Gong, Yong Yin, Dagan Feng
2017	—	`conf`	Effects of Uncertainty and Cognitive Load on User Trust in Predictive Decision Making. INTERACT (4) Jianlong Zhou, Syed Z. Arshad, Simon Luo, Fang Chen
2017	—	`conf`	Indexing Cognitive Load using Blood Volume Pulse Features. CHI Extended Abstracts Jianlong Zhou, Syed Z. Arshad, Simon Luo, Kun Yu, Shlomo Berkovsky, Fang Chen
2017	B	`conf`	Neural net-based and safety-oriented visual analytics for time-spatial data. IJCNN Zhenghao Chen, Jianlong Zhou, Xiuying Wang, Jeremy Swanson, Fang Chen, Dagan Feng
2017	A	`conf`	User Trust Dynamics: An Investigation Driven by Differences in System Performance. IUI Kun Yu, Shlomo Berkovsky, Ronnie Taib, Dan Conway, Jianlong Zhou, Fang Chen
2017	Misc	`conf`	Using Convolutional Neural Networks and Transfer Learning for Bone Age Classification. DICTA Jianlong Zhou, Zelin Li, Weiming Zhi, Bin Liang, Daniel Aaron Moses, Laughlin Dawes
2017	J	`jnl`	Visual Analytics of Movement Pattern Based on Time-Spatial Data: A Neural Net Approach. CoRR Zhenghao Chen, Jianlong Zhou, Xiuying Wang
2017	J	`jnl`	Wrapping practical problems into a machine learning framework: using water pipe failure prediction as a case study. Int. J. Intell. Syst. Technol. Appl. Jianlong Zhou, Jinjun Sun, Yang Wang, Fang Chen
2016	J	`jnl`	Constrained differential evolution using generalized opposition-based learning. Soft Comput. Wenhong Wei, Jianlong Zhou, Fang Chen, Huaqiang Yuan
2016	Misc	`conf`	Correlation for user confidence in predictive decision making. OZCHI Jianlong Zhou, Syed Z. Arshad, Kun Yu, Fang Chen
2016	—	`conf`	Learning multi-modality local and global affinities in graph based ranking for automated lung tumor delineation. ISBI Hui Cui, Xiuying Wang, Jianlong Zhou, Guanzhong Gong, Yong Yin, Fu Zheng, Dagan Feng
2016	J	`jnl`	Making machine learning useable by revealing internal states update - a transparent approach. Int. J. Comput. Sci. Eng. Jianlong Zhou, M. Asif Khawaja, Zhidong Li, Jinjun Sun, Yang Wang, Fang Chen
2016	—	`conf`	Misplaced Trust: A Bias in Human-Machine Trust Attribution - In Contradiction to Learning Theory. CHI Extended Abstracts Dan Conway, Fang Chen, Kun Yu, Jianlong Zhou, Richard Morris
2016	J	`jnl`	Primary lung tumor segmentation from PET-CT volumes with spatial-topological constraint. Int. J. Comput. Assist. Radiol. Surg. Hui Cui, Xiuying Wang, Weiran Lin, Jianlong Zhou, Stefan Eberl, Dagan Feng, Michael J. Fulham
2016	—	`book`	Robust Multimodal Cognitive Load Measurement Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji, Dan Conway
2016	J	`jnl`	Topology-aware illumination design for volume rendering. BMC Bioinform. Jianlong Zhou, Xiuying Wang, Hui Cui, Peng Gong, Xianglin Miao, Yalin Miao, Chun Xiao, Fang Chen, Dagan Feng
2016	A	`conf`	Trust and Reliance Based on System Accuracy. UMAP Kun Yu, Shlomo Berkovsky, Dan Conway, Ronnie Taib, Jianlong Zhou, Fang Chen
2016	—	`conf`	Visual Analytics of Relations of Multi-Attributes in Big Infrastructure Data. BDVA Jianlong Zhou, Zelin Li, Zongjian Zhang, Bin Liang, Fang Chen
2015	—	`conf`	Be Informed and Be Involved: Effects of Uncertainty and Correlation on User's Confidence in Decision Making. CHI Extended Abstracts Jianlong Zhou, Constant Bridon, Fang Chen, Ahmad Khawaji, Yang Wang
2015	—	`conf`	Dynamic Workload Adjustments in Human-Machine Systems Based on GSR Features. INTERACT (1) Jianlong Zhou, Ju-Young Jung, Fang Chen
2015	Misc	`conf`	Investigating User Confidence for Uncertainty Presentation in Predictive Decision Making. OZCHI Syed Z. Arshad, Jianlong Zhou, Constant Bridon, Fang Chen, Yang Wang
2015	J	`jnl`	Making machine learning useable. Int. J. Intell. Syst. Technol. Appl. Jianlong Zhou, Fang Chen
2015	J	`jnl`	Measurable Decision Making with GSR and Pupillary Analysis for Intelligent User Interface. ACM Trans. Comput. Hum. Interact. Jianlong Zhou, Jinjun Sun, Fang Chen, Yang Wang, Ronnie Taib, Ahmad Khawaji, Zhidong Li
2015	—	`conf`	Safety-oriented visual analytics of people movement. VAST Jianlong Zhou, Jinjun Sun, Fang Chen, Xiuying Wang, Xianglin Miao
2015	B	`conf`	Spoken Interruptions Signal Productive Problem Solving and Domain Expertise in Mathematics. ICMI Sharon L. Oviatt, Kevin Hang, Jianlong Zhou, Fang Chen
2015	—	`conf`	Using Galvanic Skin Response (GSR) to Measure Trust and Cognitive Load in the Text-Chat Environment. CHI Extended Abstracts Ahmad Khawaji, Jianlong Zhou, Fang Chen, Nadine Marcus
2014	—	`conf`	Combining empirical and machine learning techniques to predict math expertise using pen signal features. MLA@ICMI Jianlong Zhou, Kevin Hang, Sharon L. Oviatt, Kun Yu, Fang Chen
2014	C	`conf`	Importance-aware lighting design in volume visualization. ICARCV Jianlong Zhou, Xiuying Wang, Dagan Feng
2014	—	`conf`	Topology constraint graph-based model for non-small-cell lung tumor segmentation from PET volumes. ISBI Hui Cui, Xiuying Wang, Jianlong Zhou, Michael J. Fulham, Stefan Eberl, Dagan Feng
2014	Misc	`conf`	Trust and cognitive load in the text-chat environment: the role of mouse movement. OZCHI Ahmad Khawaji, Fang Chen, Jianlong Zhou, Nadine Marcus
2013	J	`jnl`	A multi-dimensional importance metric for contour tree simplification. J. Vis. Jianlong Zhou, Chun Xiao, Masahiro Takatsuka
2013	Misc	`conf`	Trust and cooperation in text-based computer-mediated communication. OZCHI Ahmad Khawaji, Fang Chen, Nadine Marcus, Jianlong Zhou
2012	J	`jnl`	In-Situ Support for Automotive Manufacturing Using Spatial Augmented Reality. Int. J. Virtual Real. Jianlong Zhou, Ivan Lee, Bruce H. Thomas, Roland Menassa, Anthony Farrant, Andrew Sansome
2012	—	`conf`	Similarity-driven multi-level partial contour tree simplification. FSKD Jianlong Zhou, Chun Xiao
2012	J	`jnl`	Visualization and Analysis of 3D Microscopic Images. PLoS Comput. Biol. Fuhui Long, Jianlong Zhou, Hanchuan Peng
2011	—	`conf`	Applying spatial augmented reality to facilitate in-situ support for automotive spot welding inspection. VRCAI Jianlong Zhou, Ivan Lee, Bruce H. Thomas, Roland Menassa, Anthony Farrant, Andrew Sansome
2009	J	`jnl`	Automatic Transfer Function Generation Using Contour Tree Controlled Residue Flow Model and Color Harmonics. IEEE Trans. Vis. Comput. Graph. Jianlong Zhou, Masahiro Takatsuka
2009	—	`ch.`	Structural Relationship Preservation in Volume Rendering. Computer and Information Science Jianlong Zhou, Masahiro Takatsuka
2008	J	`jnl`	A concept of volume rendering guided search process to analyze medical data set. Comput. Medical Imaging Graph. Jianlong Zhou, Chun Xiao, Zhiyan Wang, Masahiro Takatsuka
2006	J	`jnl`	Focal Region-based Volume Rendering. Int. J. Pattern Recognit. Artif. Intell. Jianlong Zhou, Zhiyan Wang, Klaus D. Tönnies
2005	J	`jnl`	Control of Object Visibility in Volume Rendering - a Distance-based Approach. Int. J. Image Graph. Jianlong Zhou, Andreas Döring, Klaus D. Tönnies
2005	—	`conf`	The roles of perception for volume visualization and designing volume visualization methods based on perceptual factors. APGV Jianlong Zhou
2004	—	`conf`	Distance Based Enhancement for Focal Region Based Volume Rendering. Bildverarbeitung für die Medizin Jianlong Zhou, Andreas Döring, Klaus D. Tönnies
2002	—	`conf`	Focal Region-Guided Feature-Based Volume Rendering. 3DPVT Jianlong Zhou, Manfred Hinz, Klaus D. Tönnies
2002	—	`conf`	Hybrid Focal Region-Based Volume Rednering of Medical Data. Bildverarbeitung für die Medizin Jianlong Zhou, Manfred Hinz, Klaus D. Tönnies