| 2026 | AAAI | RcAE: Recursive Reconstruction Framework for Unsupervised Industrial Anomaly Detection. | 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 | PacificVis | T2VTree: User-Centered Visual Analytics for Agent-Assisted Thought-to-Video Authoring. | Zhuoyun Zheng, Yu Dong, Gaorong Liang, Guan Li, Guihua Shan, Shiyu Cheng, Dong Tian, Jianlong Zhou, Jie Liang |
| 2026 | PacificVis | A Survey on Generative AI Ethics Literacy Within Metaverse. | Zhuyun Zhong, Jianlong Zhou, Weidong Huang |
| 2025 | FC | Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-Based Approach. | Rgnier Avice, Bernhard Haslhofer, Zhidong Li, Jianlong Zhou |
| 2025 | ICIG | MARSNet: Scalable Deep Coding of LiDAR Point Clouds via Multimodal and Residual Learning. | Yanji Huang, Runnan Huang, Jianlong Zhou, Yingqi Zhuo, Yanshan Li, Miaohui Wang |
| 2025 | ICLR | Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability. | Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Nan Yang, Jiahao Huang, Jianlong Zhou, Fang Chen |
| 2025 | ICML | Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution. | Jiayu Zhang, Xinyi Wang, Zhibo Jin, Zhiyu Zhu, Jianlong Zhou, Fang Chen, Huaming Chen |
| 2024 | AusDM | GRADIOOD: A Framework for Out-of-Distribution Sample Identification Using Signed Gradients for Robust Models. | Dalha Alotaibi, Jianlong Zhou, Yifei Dong, Fang Chen |
| 2024 | AusDM | Robust Weed Detection with Evidential Neural Network-Based Uncertainty Quantification. | Jichao Kan, Zhidong Li, Jianlong Zhou, Fang Chen |
| 2024 | IJCNN | Genetic Imitation Learning by Reward Extrapolation. | Boyuan Zheng, Jianlong Zhou, Jieping Ma, Fang Chen |
| 2024 | KES | 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 Sann, Edward Szczerbicki, Jianlong Zhou |
| 2023 | CIKM | ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks. | Yiqiao Li, Jianlong Zhou, Yifei Dong, Niusha Shafiabady, Fang Chen |
| 2023 | IUI | Effects of Uncertainty and Knowledge Graph on Perception of Fairness. | Jianlong Zhou, Boyuan Zheng, Fang Chen |
| 2023 | IV | SIDVis: Designing Visual Interactive System for Analyzing Suicide Ideation Detection. | Md. Rafiqul Islam, Md. Kowsar Hossain Sakib, Anwaar Ulhaq, Shanjita Akter, Jianlong Zhou, David Asirvatham |
| 2023 | MICCAI | SFusion: Self-attention Based N-to-One Multimodal Fusion Block. | Zecheng Liu, Jia Wei, Rui Li, Jianlong Zhou |
| 2023 | VTC | Embedded CR Assisted NOMA for IoT Resource Allocation: A Case Study of Vehicle Networks. | Mingming Zheng, Jianlong Zhou, Guiyang Pu, Ruoxu Wang, Wei Peng |
| 2020 | ICML | Towards Explainability for AI Fairness. | Jianlong Zhou, Fang Chen, Andreas Holzinger |
| 2019 | CHI | Effects of Influence on User Trust in Predictive Decision Making. | Jianlong Zhou, Zhidong Li, Huaiwen Hu, Kun Yu, Fang Chen, Zelin Li, Yang Wang |
| 2019 | IUI | Do I trust my machine teammate?: an investigation from perception to decision. | Kun Yu, Shlomo Berkovsky, Ronnie Taib, Jianlong Zhou, Fang Chen |
| 2019 | PAKDD | Multitask Learning for Sparse Failure Prediction. | Simon Luo, Victor W. Chu, Zhidong Li, Yang Wang, Jianlong Zhou, Fang Chen, Raymond K. Wong |
| 2017 | BigData | A Multivariate Clustering Approach for Infrastructure Failure Predictions. | Simon Luo, Victor W. Chu, Jianlong Zhou, Fang Chen, Raymond K. Wong, Weidong Huang |
| 2017 | CHI | BVP Feature Signal Analysis for Intelligent User Interface. | Simon Luo, Jianlong Zhou, Henry Been-Lirn Duh, Fang Chen |
| 2017 | CHI | Indexing Cognitive Load using Blood Volume Pulse Features. | Jianlong Zhou, Syed Z. Arshad, Simon Luo, Kun Yu, Shlomo Berkovsky, Fang Chen |
| 2017 | DICTA | Using Convolutional Neural Networks and Transfer Learning for Bone Age Classification. | Jianlong Zhou, Zelin Li, Weiming Zhi, Bin Liang, Daniel Aaron Moses, Laughlin Dawes |
| 2017 | IJCNN | Neural net-based and safety-oriented visual analytics for time-spatial data. | Zhenghao Chen, Jianlong Zhou, Xiuying Wang, Jeremy Swanson, Fang Chen, Dagan Feng |
| 2017 | Interact | Effects of Uncertainty and Cognitive Load on User Trust in Predictive Decision Making. | Jianlong Zhou, Syed Z. Arshad, Simon Luo, Fang Chen |
| 2017 | IUI | User Trust Dynamics: An Investigation Driven by Differences in System Performance. | Kun Yu, Shlomo Berkovsky, Ronnie Taib, Dan Conway, Jianlong Zhou, Fang Chen |
| 2016 | CHI | Misplaced Trust: A Bias in Human-Machine Trust Attribution - In Contradiction to Learning Theory. | Dan Conway, Fang Chen, Kun Yu, Jianlong Zhou, Richard Morris |
| 2016 | OZCHI | Correlation for user confidence in predictive decision making. | Jianlong Zhou, Syed Z. Arshad, Kun Yu, Fang Chen |
| 2015 | CHI | Using Galvanic Skin Response (GSR) to Measure Trust and Cognitive Load in the Text-Chat Environment. | Ahmad Khawaji, Jianlong Zhou, Fang Chen, Nadine Marcus |
| 2015 | CHI | Be Informed and Be Involved: Effects of Uncertainty and Correlation on User's Confidence in Decision Making. | Jianlong Zhou, Constant Bridon, Fang Chen, Ahmad Khawaji, Yang Wang |
| 2015 | ICMI | Spoken Interruptions Signal Productive Problem Solving and Domain Expertise in Mathematics. | Sharon L. Oviatt, Kevin Hang, Jianlong Zhou, Fang Chen |
| 2015 | Interact | Dynamic Workload Adjustments in Human-Machine Systems Based on GSR Features. | Jianlong Zhou, Ju-Young Jung, Fang Chen |
| 2015 | OZCHI | Investigating User Confidence for Uncertainty Presentation in Predictive Decision Making. | Syed Z. Arshad, Jianlong Zhou, Constant Bridon, Fang Chen, Yang Wang |
| 2014 | ICARCV | Importance-aware lighting design in volume visualization. | Jianlong Zhou, Xiuying Wang, Dagan Feng |
| 2014 | ICMI | Combining empirical and machine learning techniques to predict math expertise using pen signal features. | Jianlong Zhou, Kevin Hang, Sharon L. Oviatt, Kun Yu, Fang Chen |
| 2014 | OZCHI | Trust and cognitive load in the text-chat environment: the role of mouse movement. | Ahmad Khawaji, Fang Chen, Jianlong Zhou, Nadine Marcus |
| 2013 | OZCHI | Trust and cooperation in text-based computer-mediated communication. | Ahmad Khawaji, Fang Chen, Nadine Marcus, Jianlong Zhou |