| 2025 | ICASSP | Efficient Estimation of Kernel Matrix Spectral Norm using Random Features. | Yiting Cao, Shayan Shafaei, Luyuan Yang, Chao Lan |
| 2025 | ICASSP | Efficient Data-Dependent Random Projection for Least Square Regressions. | Jacob Sturges, Luyuan Yang, Shayan Shafaei, Chao Lan |
| 2022 | ICML | A Model-Agnostic Randomized Learning Framework based on Random Hypothesis Subspace Sampling. | Yiting Cao, Chao Lan |
| 2022 | IJCNN | Fairness-Aware Active Learning for Decoupled Model. | Yiting Cao, Chao Lan |
| 2022 | UAI | Active approximately metric-fair learning. | Yiting Cao, Chao Lan |
| 2021 | ACSAC | Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view Inconsistency. | Sohaib Kiani, Sana Awan, Chao Lan, Fengjun Li, Bo Luo |
| 2020 | CIKM | Active Query of Private Demographic Data for Learning Fair Models. | Yijun Liu, Chao Lan |
| 2020 | IJCAI | Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection. | Zhen Wang, Chao Lan |
| 2019 | ICDM | A Distributed Fair Machine Learning Framework with Private Demographic Data Protection. | Hui Hu, Yijun Liu, Zhen Wang, Chao Lan |
| 2019 | IJCNN | Music Classification using an Improved CRNN with Multi-Directional Spatial Dependencies in Both Time and Frequency Dimensions. | Zhen Wang, Suresh Muknahallipatna, Maohong Fan, Austin Okray, Chao Lan |
| 2019 | ICTAI | Improving Prediction Fairness via Model Ensemble. | Dheeraj Bhaskaruni, Hui Hu, Chao Lan |
| 2019 | ICTAI | Fair Kernel Regression via Fair Feature Embedding in Kernel Space. | Austin Okray, Hui Hu, Chao Lan |
| 2019 | WWW | Semi-supervised Multi-view Individual and Sharable Feature Learning for Webpage Classification. | Fei Wu, Xiao-Yuan Jing, Jun Zhou, Yi-mu Ji, Chao Lan, Qinghua Huang, Ruchuan Wang |
| 2018 | ICPR | Estimating Prediction Qualities without Ground Truth: A Revisit of the Reverse Testing Framework. | Dheeraj Bhaskaruni, Fiona Patricia Moss, Chao Lan |
| 2016 | ICPR | A PAC bound for joint matrix completion based on Partially Collective Matrix Factorization. | Chao Lan, Xiaoli Li, Yujie Deng, Joseph St. Amand, Jun Huan |
| 2016 | IJCNN | Co-regularized least square regression for multi-view multi-class classification. | Chao Lan, Yujie Deng, Xiaoli Li, Jun Huan |
| 2016 | IJCNN | A disagreement-based active matrix completion approach with provable guarantee. | Chao Lan, Yujie Deng, Jun Huan |
| 2016 | ISAIM | Partial Collective Matrix Factorization and its PAC Bound. | Chao Lan, Xiaoli Li, Yujie Deng, Jun Huan |
| 2016 | UAI | Towards a Theoretical Understanding of Negative Transfer in Collective Matrix Factorization. | Chao Lan, Jianxin Wang, Jun Huan |
| 2015 | KDD | Reducing the Unlabeled Sample Complexity of Semi-Supervised Multi-View Learning. | Chao Lan, Jun Huan |
| 2014 | CIKM | Automatic Social Circle Detection Using Multi-View Clustering. | Yuhao Yang, Chao Lan, Xiaoli Li, Bo Luo, Jun Huan |
| 2011 | ICIP | Discriminant subclass-center manifold preserving projection for face feature extraction. | Chao Lan, Xiao-Yuan Jing, David Zhang, Shi-Qiang Gao, Jingyu Yang |
| 2011 | ICIP | Sparse cost-sensitive classifier with application to face recognition. | Jiang-Yue Man, Xiao-Yuan Jing, David Zhang, Chao Lan |
| 2010 | ICIP | Holistic orthogonal analysis of discriminant transforms for color face recognition. | Xiao-Yuan Jing, Qian Liu, Chao Lan, Jiang-Yue Man, Sheng Li, David Zhang |