Focal Region-Guided Feature-Based Volume Rendering. - Jianlong Zhou; Manfred Hinz; Klaus D. Tönnies (3DPVT, 2002)

Hybrid Focal Region-Based Volume Rednering of Medical Data. - Jianlong Zhou; Manfred Hinz; Klaus D. Tönnies (Bildverarbeitung für die Medizin, 2002)

Distance Based Enhancement for Focal Region Based Volume Rendering. - Jianlong Zhou; Andreas Döring 002; Klaus D. Tönnies (Bildverarbeitung für die Medizin, 2004)

The roles of perception for volume visualization and designing volume visualization methods based on perceptual factors. - Jianlong Zhou (APGV, 2005)

Control of Object Visibility in Volume Rendering - a Distance-based Approach. - Jianlong Zhou; Andreas Döring 002; Klaus D. Tönnies (Int. J. Image Graph., 2005)

Focal Region-based Volume Rendering. - Jianlong Zhou; Zhiyan Wang; Klaus D. Tönnies (Int. J. Pattern Recognit. Artif. Intell., 2006)

A concept of volume rendering guided search process to analyze medical data set. - Jianlong Zhou; Chun Xiao; Zhiyan Wang; Masahiro Takatsuka (Comput. Medical Imaging Graph., 2008)

Automatic Transfer Function Generation Using Contour Tree Controlled Residue Flow Model and Color Harmonics. - Jianlong Zhou; Masahiro Takatsuka (IEEE Trans. Vis. Comput. Graph., 2009)

Structural Relationship Preservation in Volume Rendering. - Jianlong Zhou; Masahiro Takatsuka (Computer and Information Science, 2009)

Applying spatial augmented reality to facilitate in-situ support for automotive spot welding inspection. - Jianlong Zhou; Ivan Lee 001; Bruce H. Thomas; Roland Menassa; Anthony Farrant; Andrew Sansome (VRCAI, 2011)

Similarity-driven multi-level partial contour tree simplification. - Jianlong Zhou; Chun Xiao (FSKD, 2012)

In-Situ Support for Automotive Manufacturing Using Spatial Augmented Reality. - Jianlong Zhou; Ivan Lee 001; Bruce H. Thomas; Roland Menassa; Anthony Farrant; Andrew Sansome (Int. J. Virtual Real., 2012)

Visualization and Analysis of 3D Microscopic Images. - Fuhui Long; Jianlong Zhou; Hanchuan Peng (PLoS Comput. Biol., 2012)

Trust and cooperation in text-based computer-mediated communication. - Ahmad Khawaji; Fang Chen 001; Nadine Marcus; Jianlong Zhou (OZCHI, 2013)

A multi-dimensional importance metric for contour tree simplification. - Jianlong Zhou; Chun Xiao; Masahiro Takatsuka (J. Vis., 2013)

Importance-aware lighting design in volume visualization. - Jianlong Zhou; Xiuying Wang 001; Dagan Feng 001 (ICARCV, 2014)

Combining empirical and machine learning techniques to predict math expertise using pen signal features. - Jianlong Zhou; Kevin Hang; Sharon L. Oviatt; Kun Yu 001; Fang Chen 001 (MLA@ICMI, 2014)

Topology constraint graph-based model for non-small-cell lung tumor segmentation from PET volumes. - Hui Cui 002; Xiuying Wang 001; Jianlong Zhou; Michael J. Fulham; Stefan Eberl; Dagan Feng 001 (ISBI, 2014)

Trust and cognitive load in the text-chat environment: the role of mouse movement. - Ahmad Khawaji; Fang Chen 001; Jianlong Zhou; Nadine Marcus (OZCHI, 2014)

Using Galvanic Skin Response (GSR) to Measure Trust and Cognitive Load in the Text-Chat Environment. - Ahmad Khawaji; Jianlong Zhou; Fang Chen 001; Nadine Marcus (CHI Extended Abstracts, 2015)

Be Informed and Be Involved: Effects of Uncertainty and Correlation on User's Confidence in Decision Making. - Jianlong Zhou; Constant Bridon; Fang Chen 001; Ahmad Khawaji; Yang Wang 002 (CHI Extended Abstracts, 2015)

Spoken Interruptions Signal Productive Problem Solving and Domain Expertise in Mathematics. - Sharon L. Oviatt; Kevin Hang; Jianlong Zhou; Fang Chen 001 (ICMI, 2015)

Safety-oriented visual analytics of people movement. - Jianlong Zhou; Jinjun Sun; Fang Chen 001; Xiuying Wang 001; Xianglin Miao (VAST, 2015)

Dynamic Workload Adjustments in Human-Machine Systems Based on GSR Features. - Jianlong Zhou; Ju-Young Jung; Fang Chen 001 (INTERACT (1), 2015)

Investigating User Confidence for Uncertainty Presentation in Predictive Decision Making. - Syed Z. Arshad; Jianlong Zhou; Constant Bridon; Fang Chen 001; Yang Wang 002 (OZCHI, 2015)

Making machine learning useable. - Jianlong Zhou; Fang Chen 001 (Int. J. Intell. Syst. Technol. Appl., 2015)

Measurable Decision Making with GSR and Pupillary Analysis for Intelligent User Interface. - Jianlong Zhou; Jinjun Sun; Fang Chen 001; Yang Wang 002; Ronnie Taib; Ahmad Khawaji; Zhidong Li (ACM Trans. Comput. Hum. Interact., 2015)

Visual Analytics of Relations of Multi-Attributes in Big Infrastructure Data. - Jianlong Zhou; Zelin Li; Zongjian Zhang; Bin Liang 003; Fang Chen 001 (BDVA, 2016)

Misplaced Trust: A Bias in Human-Machine Trust Attribution - In Contradiction to Learning Theory. - Dan Conway; Fang Chen 001; Kun Yu 001; Jianlong Zhou; Richard Morris (CHI Extended Abstracts, 2016)

Learning multi-modality local and global affinities in graph based ranking for automated lung tumor delineation. - Hui Cui 002; Xiuying Wang 001; Jianlong Zhou; Guanzhong Gong; Yong Yin; Fu Zheng; Dagan Feng 001 (ISBI, 2016)

Correlation for user confidence in predictive decision making. - Jianlong Zhou; Syed Z. Arshad; Kun Yu 001; Fang Chen 001 (OZCHI, 2016)

Trust and Reliance Based on System Accuracy. - Kun Yu 001; Shlomo Berkovsky; Dan Conway; Ronnie Taib; Jianlong Zhou; Fang Chen 001 (UMAP, 2016)

Topology-aware illumination design for volume rendering. - Jianlong Zhou; Xiuying Wang 001; Hui Cui 002; Peng Gong; Xianglin Miao; Yalin Miao; Chun Xiao; Fang Chen 001; Dagan Feng 001 (BMC Bioinform., 2016)

Primary lung tumor segmentation from PET-CT volumes with spatial-topological constraint. - Hui Cui 002; Xiuying Wang 001; Weiran Lin; Jianlong Zhou; Stefan Eberl; Dagan Feng 001; Michael J. Fulham (Int. J. Comput. Assist. Radiol. Surg., 2016)

Making machine learning useable by revealing internal states update - a transparent approach. - Jianlong Zhou; M. Asif Khawaja; Zhidong Li; Jinjun Sun; Yang Wang 002; Fang Chen 001 (Int. J. Comput. Sci. Eng., 2016)

Constrained differential evolution using generalized opposition-based learning. - Wenhong Wei; Jianlong Zhou; Fang Chen 001; Huaqiang Yuan (Soft Comput., 2016)

Robust Multimodal Cognitive Load Measurement - Fang Chen 001; Jianlong Zhou; Yang Wang 002; Kun Yu 001; Syed Z. Arshad; Ahmad Khawaji; Dan Conway (Springer, 2016)

A Multivariate Clustering Approach for Infrastructure Failure Predictions. - Simon Luo; Victor W. Chu; Jianlong Zhou; Fang Chen 001; Raymond K. Wong 001; Weidong Huang 001 (BigData Congress, 2017)

BVP Feature Signal Analysis for Intelligent User Interface. - Simon Luo; Jianlong Zhou; Henry Been-Lirn Duh; Fang Chen 001 (CHI Extended Abstracts, 2017)

Indexing Cognitive Load using Blood Volume Pulse Features. - Jianlong Zhou; Syed Z. Arshad; Simon Luo; Kun Yu 001; Shlomo Berkovsky; Fang Chen 001 (CHI Extended Abstracts, 2017)

Using Convolutional Neural Networks and Transfer Learning for Bone Age Classification. - Jianlong Zhou; Zelin Li; Weiming Zhi; Bin Liang 003; Daniel Aaron Moses; Laughlin Dawes (DICTA, 2017)

Neural net-based and safety-oriented visual analytics for time-spatial data. - Zhenghao Chen; Jianlong Zhou; Xiuying Wang 001; Jeremy Swanson; Fang Chen 001; Dagan Feng 001 (IJCNN, 2017)

Effects of Uncertainty and Cognitive Load on User Trust in Predictive Decision Making. - Jianlong Zhou; Syed Z. Arshad; Simon Luo; Fang Chen 001 (INTERACT (4), 2017)

Computational boundary definition by geodesic graph model. - Hui Cui 002; Xiuying Wang 001; Jianlong Zhou; Guanzhong Gong; Yong Yin; Dagan Feng 001 (ISBI, 2017)

User Trust Dynamics: An Investigation Driven by Differences in System Performance. - Kun Yu 001; Shlomo Berkovsky; Ronnie Taib; Dan Conway; Jianlong Zhou; Fang Chen 001 (IUI, 2017)

Visual Analytics of Movement Pattern Based on Time-Spatial Data: A Neural Net Approach. - Zhenghao Chen; Jianlong Zhou; Xiuying Wang 001 (CoRR, 2017)

Wrapping practical problems into a machine learning framework: using water pipe failure prediction as a case study. - Jianlong Zhou; Jinjun Sun; Yang Wang 002; Fang Chen 001 (Int. J. Intell. Syst. Technol. Appl., 2017)

Multimodal behavioral and physiological signals as indicators of cognitive load. - Jianlong Zhou; Kun Yu 001; Fang Chen 001; Yang Wang 002; Syed Z. Arshad (The Handbook of Multimodal-Multisensor Interfaces, Volume 2 (2), 2018)

A topo-graph model for indistinct target boundary definition from anatomical images. - Hui Cui 002; Xiuying Wang 001; Jianlong Zhou; Guanzhong Gong; Stefan Eberl; Yong Yin; Lisheng Wang; Dagan Feng 001; Michael J. Fulham (Comput. Methods Programs Biomed., 2018)

DecisionMind: revealing human cognition states in data analytics-driven decision making with a multimodal interface. - Jianlong Zhou; Fang Chen 001 (J. Multimodal User Interfaces, 2018)

End-User Development for Interactive Data Analytics: Uncertainty, Correlation and User Confidence. - Jianlong Zhou; Syed Z. Arshad; Xiuying Wang 001; Zhidong Li; Dagan Feng 001; Fang Chen 001 (IEEE Trans. Affect. Comput., 2018)

Dynamic Handwriting Signal Features Predict Domain Expertise. - Sharon L. Oviatt; Kevin Hang; Jianlong Zhou; Kun Yu 001; Fang Chen 001 (ACM Trans. Interact. Intell. Syst., 2018)

Do I Trust a Machine? Differences in User Trust Based on System Performance. - Kun Yu 001; Shlomo Berkovsky; Dan Conway; Ronnie Taib; Jianlong Zhou; Fang Chen 001 (Human and Machine Learning, 2018)

Water Pipe Failure Prediction: A Machine Learning Approach Enhanced By Domain Knowledge. - Bang Zhang; Ting Guo; Lelin Zhang; Peng Lin; Yang Wang 002; Jianlong Zhou; Fang Chen 001 (Human and Machine Learning, 2018)

2D Transparency Space - Bring Domain Users and Machine Learning Experts Together. - Jianlong Zhou; Fang Chen 001 (Human and Machine Learning, 2018)

Revealing User Confidence in Machine Learning-Based Decision Making. - Jianlong Zhou; Kun Yu 001; Fang Chen 001 (Human and Machine Learning, 2018)

Physiological Indicators for User Trust in Machine Learning with Influence Enhanced Fact-Checking. - Jianlong Zhou; Huaiwen Hu; Zhidong Li; Kun Yu 001; Fang Chen 001 (CD-MAKE, 2019)

Effects of Influence on User Trust in Predictive Decision Making. - Jianlong Zhou; Zhidong Li; Huaiwen Hu; Kun Yu 001; Fang Chen 001; Zelin Li; Yang Wang 002 (CHI Extended Abstracts, 2019)

Do I trust my machine teammate?: an investigation from perception to decision. - Kun Yu 001; Shlomo Berkovsky; Ronnie Taib; Jianlong Zhou; Fang Chen 001 (IUI, 2019)

Multitask Learning for Sparse Failure Prediction. - Simon Luo; Victor W. Chu; Zhidong Li; Yang Wang 002; Jianlong Zhou; Fang Chen 001; Raymond K. Wong 001 (PAKDD (1), 2019)

A Radial Visualisation for Model Comparison and Feature Identification. - Jianlong Zhou; Weidong Huang 001; Fang Chen 001 (PacificVis, 2020)

Towards Explainability for AI Fairness. - Jianlong Zhou; Fang Chen 001; Andreas Holzinger (xxAI@ICML, 2020)

A Survey on Ethical Principles of AI and Implementations. - Jianlong Zhou; Fang Chen 001; Adam Berry; Mike Reed; Shujia Zhang; Siobhan Savage (SSCI, 2020)

Examination of community sentiment dynamics due to covid-19 pandemic: a case study from Australia. - Jianlong Zhou; Shuiqiao Yang; Chun Xiao; Fang Chen 001 (CoRR, 2020)

XTQA: Span-Level Explanations of the Textbook Question Answering. - Jie Ma 001; Jun Liu 002; Junjun Li; Qinghua Zheng; Qingyu Yin; Jianlong Zhou; Yi Huang (CoRR, 2020)

Effects of personality traits on user trust in human-machine collaborations. - Jianlong Zhou; Simon Luo; Fang Chen 001 (J. Multimodal User Interfaces, 2020)

ExVis: Explainable Visual Decision Support System for Risk Management. - Md. Rafiqul Islam 004; Jiaming Zhang; Md. Hamjajul Ashmafee; Imran Razzak; Jianlong Zhou; Xianzhi Wang 001; Guandong Xu (BESC, 2021)

Understanding Relations Between Perception of Fairness and Trust in Algorithmic Decision Making. - Jianlong Zhou; Sunny Verma; Mudit Mittal; Fang Chen 001 (BESC, 2021)

Facilitating Machine Learning Model Comparison and Explanation Through A Radial Visualisation. - Jianlong Zhou; Weidong Huang 001; Fang Chen 001 (CoRR, 2021)

Imitation Learning: Progress, Taxonomies and Opportunities. - Boyuan Zheng; Sunny Verma; Jianlong Zhou; Ivor W. Tsang; Fang Chen 001 (CoRR, 2021)

Multi-task learning by hierarchical Dirichlet mixture model for sparse failure prediction. - Simon Luo; Victor W. Chu; Zhidong Li; Yang Wang 002; Jianlong Zhou; Fang Chen 001; Raymond K. Wong 001 (Int. J. Data Sci. Anal., 2021)

Examination of Community Sentiment Dynamics due to COVID-19 Pandemic: A Case Study from a State in Australia. - Jianlong Zhou; Shuiqiao Yang; Chun Xiao; Fang Chen 001 (SN Comput. Sci., 2021)

Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia. - Jianlong Zhou; Hamad Zogan; Shuiqiao Yang; Shoaib Jameel; Guandong Xu; Fang Chen 001 (IEEE Trans. Comput. Soc. Syst., 2021)

Fs-DSM: Few-Shot Diagram-Sentence Matching via Cross-Modal Attention Graph Model. - Xin Hu; Lingling Zhang 005; Jun Liu 002; Qinghua Zheng; Jianlong Zhou (IEEE Trans. Image Process., 2021)

Are Graph Neural Network Explainers Robust to Graph Noises? - Yiqiao Li 001; Sunny Verma; Shuiqiao Yang; Jianlong Zhou; Fang Chen 001 (AI, 2022)

Does a Compromise on Fairness Exist in Using AI Models? - Jianlong Zhou; Zhidong Li; Chun Xiao; Fang Chen 001 (AI, 2022)

Effects of Fairness and Explanation on Trust in Ethical AI. - Alessa Angerschmid; Kevin Theuermann; Andreas Holzinger; Fang Chen 001; Jianlong Zhou (CD-MAKE, 2022)

A Survey of Facial Capture for Virtual Reality. - Lihang Wen; Jianlong Zhou; Weidong Huang 001; Fang Chen 001 (IEEE Access, 2022)

Effects of Font Style and Font Color in News Text on User Cognitive Load in Intelligent User Interfaces. - Jianlong Zhou; Xianglin Miao; Feijuan He; Yalin Miao (IEEE Access, 2022)

Role of Social Media in Technology Adoption for Sustainable Agriculture Practices: Evidence from Twitter Analytics. - Jitendra Yadav; Avikshit Yadav; Madhvendra Misra; Nripendra P. Rana; Jianlong Zhou (Commun. Assoc. Inf. Syst., 2022)

A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics. - Yiqiao Li 001; Jianlong Zhou; Sunny Verma; Fang Chen 001 (CoRR, 2022)

Fairness and Explanation in AI-Informed Decision Making. - Alessa Angerschmid; Jianlong Zhou; Kevin Theuermann; Fang Chen 001; Andreas Holzinger (Mach. Learn. Knowl. Extr., 2022)

Impact of Fidelity and Robustness of Machine Learning Explanations on User Trust. - Bo Wang; Jianlong Zhou; Yiqiao Li 001; Fang Chen 001 (AI (2), 2023)

ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks. - Yiqiao Li 001; Jianlong Zhou; Yifei Dong; Niusha Shafiabady; Fang Chen 001 (CIKM, 2023)

Effects of Uncertainty and Knowledge Graph on Perception of Fairness. - Jianlong Zhou; Boyuan Zheng; Fang Chen 001 (IUI Companion, 2023)

SIDVis: Designing Visual Interactive System for Analyzing Suicide Ideation Detection. - Md. Rafiqul Islam 004; Md. Kowsar Hossain Sakib; Anwaar Ulhaq; Shanjita Akter; Jianlong Zhou; David Asirvatham (IV, 2023)

SFusion: Self-attention Based N-to-One Multimodal Fusion Block. - Zecheng Liu; Jia Wei; Rui Li 002; Jianlong Zhou (MICCAI (2), 2023)

Embedded CR Assisted NOMA for IoT Resource Allocation: A Case Study of Vehicle Networks. - Mingming Zheng; Jianlong Zhou; Guiyang Pu; Ruoxu Wang; Wei Peng 003 (VTC Fall, 2023)

Full-Resolution Lung Nodule Localization From Chest X-Ray Images Using Residual Encoder-Decoder Networks. - Michael J. Horry; Subrata Chakraborty; Biswajeet Pradhan; Manoranjan Paul; Jing Zhu; Prabal Datta Barua; Hasan Saeed Mir; Fang Chen 001; Jianlong Zhou; U. Rajendra Acharya (IEEE Access, 2023)

GANExplainer: GAN-based Graph Neural Networks Explainer. - Yiqiao Li 001; Jianlong Zhou; Boyuan Zheng; Fang Chen 001 (CoRR, 2023)

Genetic Imitation Learning by Reward Extrapolation. - Boyuan Zheng; Jianlong Zhou; Fang Chen 001 (CoRR, 2023)

Ethical ChatGPT: Concerns, Challenges, and Commandments. - Jianlong Zhou; Heimo Müller; Andreas Holzinger; Fang Chen 001 (CoRR, 2023)

Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks. - Michael James Horry; Subrata Chakraborty; Biswajeet Pradhan; Manoranjan Paul; Jing Zhu; Prabal Datta Barua; U. Rajendra Acharya; Fang Chen 001; Jianlong Zhou (CoRR, 2023)

Artificial Intelligence Ethics and Trust: From Principles to Practice. - Fang Chen 001; Jianlong Zhou; Andreas Holzinger; Kenneth R. Fleischmann; Simone Stumpf (IEEE Intell. Syst., 2023)

AI Accountability: Approaches, Affecting Factors, and Challenges. - Ashwin Kumar Raja; Jianlong Zhou (Computer, 2023)

Learning multi-modal brain tumor segmentation from privileged semi-paired MRI images with curriculum disentanglement learning. - Zecheng Liu; Jia Wei; Rui Li 002; Jianlong Zhou (Comput. Biol. Medicine, 2023)

AI ethics: from principles to practice. - Jianlong Zhou; Fang Chen 001 (AI Soc., 2023)

Leveraging twitter data to understand nurses' emotion dynamics during the COVID-19 pandemic. - Jianlong Zhou; Suzanne Sheppard-Law; Chun Xiao; Judith Smith; Aimee Lamb; Carmen Axisa; Fang Chen 001 (Health Inf. Sci. Syst., 2023)

Chain of Thought Prompting in Vision-Language Model for Vision Reasoning Tasks. - Jianjiu Ou; Jianlong Zhou; Yifei Dong; Fang Chen 001 (AI (2), 2024)

Enhancing Explainability of Deep Learning-Based ECG Diagnosis Using Large Language Models. - Shi Wu; Jianlong Zhou; Yifei Dong; Fang Chen 001 (ICAAI, 2024)

Genetic Imitation Learning by Reward Extrapolation. - Boyuan Zheng; Jianlong Zhou; Jieping Ma; Fang Chen 001 (IJCNN, 2024)

SpamVis: A Visual Interactive System for Spam Review Detection. - Thanh Thao Lam Nguyen; Nu Uyen Phuong Le; Md Rafiqul Islam; Md. Kowsar Hossain Sakib; Shanjita Akter Prome; Cesar Sanín; Edward Szczerbicki; Jianlong Zhou (KES, 2024)

Interpretable Robotic Manipulation from Language. - Boyuan Zheng; Jianlong Zhou; Fang Chen 001 (CoRR, 2024)

Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack. - Zhibo Jin; Jiayu Zhang 001; Zhiyu Zhu; Chenyu Zhang; Jiahao Huang; Jianlong Zhou; Fang Chen 001 (CoRR, 2024)

Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A Comprehensive Framework for Gradient Editing. - Zhibo Jin; Jiayu Zhang 001; Zhiyu Zhu; Yuchen Zhang; Jiahao Huang; Jianlong Zhou; Fang Chen 001 (CoRR, 2024)

AI Ethics in Smart Homes: Progress, User Requirements and Challenges. - Liqian You; Jianlong Zhou; Zhiwei Li; Fang Chen 001 (CoRR, 2024)

Attribution for Enhanced Explanation with Transferable Adversarial eXploration. - Zhiyu Zhu; Jiayu Zhang 001; Zhibo Jin; Huaming Chen; Jianlong Zhou; Fang Chen 001 (CoRR, 2024)

Explaining Imitation Learning Through Frames. - Boyuan Zheng; Jianlong Zhou; Chunjie Liu; Yiqiao Li 001; Fang Chen 001 (IEEE Intell. Syst., 2024)

Reliable and Faithful Generative Explainers for Graph Neural Networks. - Yiqiao Li 001; Jianlong Zhou; Boyuan Zheng; Niusha Shafiabady; Fang Chen 001 (Mach. Learn. Knowl. Extr., 2024)

Few-Shot Stereo Matching with High Domain Adaptability Based on Adaptive Recursive Network. - Rongcheng Wu; Mingzhe Wang; Zhidong Li; Jianlong Zhou; Fang Chen 001; Xuan Wang; Changming Sun (Int. J. Comput. Vis., 2024)

Imitation Learning: Progress, Taxonomies and Challenges. - Boyuan Zheng; Sunny Verma; Jianlong Zhou; Ivor W. Tsang; Fang Chen 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability. - Zhiyu Zhu; Zhibo Jin; Jiayu Zhang 001; Nan Yang; Jiahao Huang; Jianlong Zhou; Fang Chen 001 (ICLR, 2025)

DeFusion: An Effective Decoupling Fusion Network for Multi-Modal Pregnancy Prediction. - Xueqiang Ouyang; Jia Wei; Wenjie Huo; Xiaocong Wang; Rui Li 002; Jianlong Zhou (CoRR, 2025)

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach. - Régnier Avice; Bernhard Haslhofer; Zhidong Li; Jianlong Zhou (CoRR, 2025)

Can LLM Assist in the Evaluation of the Quality of Machine Learning Explanations? - Bo Wang; Yiqiao Li 001; Jianlong Zhou; Fang Chen 001 (CoRR, 2025)

E-LENS: User Requirements-Oriented AI Ethics Assurance. - Jianlong Zhou; Fang Chen 001 (CoRR, 2025)

ABE: A Unified Framework for Robust and Faithful Attribution-Based Explainability. - Zhiyu Zhu; Jiayu Zhang 001; Zhibo Jin; Fang Chen 001; Jianlong Zhou (CoRR, 2025)

The User-first Approach to AI Ethics: Preferences for Ethical Principles in AI Systems across Cultures and Contexts. - Benjamin J. Carroll; Jianlong Zhou; Paul F. Burke; Sabine Ammon (CoRR, 2025)