| 2026 | PAKDD | Joint Universal Adversarial Perturbations with Interpretations. | Liang-Bo Ning, Zeyu Dai, Wenqi Fan, Jingran Su, Chao Pan, Luning Wang, Qing Li |
| 2025 | AAAI | Efficient Robustness Evaluation via Constraint Relaxation. | Chao Pan, Yu Wu, Ke Tang, Qing Li, Xin Yao |
| 2025 | DSAA | Rethinking RobustBench: Is High Synthetic-Test Data Similarity an Implicit Information Advantage Inflating Robustness Scores? | Chao Pan, Ke Tang, Qing Li, Xin Yao |
| 2025 | ICCV | Mitigating Catastrophic Overfitting in Fast Adversarial Training via Label Information Elimination. | Chao Pan, Ke Tang, Qing Li, Xin Yao |
| 2024 | AAAI | Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training. | Chao Pan, Qing Li, Xin Yao |
| 2024 | ICASSP | Directional Gain Based Noise Covariance Matrix Estimation for MVDR Beamforming. | Fan Zhang, Chao Pan, Jacob Benesty, Jingdong Chen |
| 2024 | WWW | Interpretation-Empowered Neural Cleanse for Backdoor Attacks. | Liang-Bo Ning, Zeyu Dai, Jingran Su, Chao Pan, Luning Wang, Wenqi Fan, Qing Li |
| 2023 | ICLR | Machine Unlearning of Federated Clusters. | Chao Pan, Jin Sima, Saurav Prakash, Vishal Rana, Olgica Milenkovic |
| 2023 | ICLR | Efficient Model Updates for Approximate Unlearning of Graph-Structured Data. | Eli Chien, Chao Pan, Olgica Milenkovic |
| 2023 | ISIT | Perturbation-Resilient Sets for Dynamic Service Balancing. | Jin Sima, Chao Pan, Olgica Milenkovic |
| 2023 | WWW | Unlearning Graph Classifiers with Limited Data Resources. | Chao Pan, Eli Chien, Olgica Milenkovic |
| 2022 | HCI | "Trauma" and Delicate Balance: The Analysis of Salvoj Žižek's Ontology and New Ecological Philosophy. | Chao Pan |
| 2022 | ICANN | Towards Robust Uncertainty Estimation in the Presence of Noisy Labels. | Chao Pan, Bo Yuan, Wei Zhou, Xin Yao |
| 2022 | ICLR | You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks. | Eli Chien, Chao Pan, Jianhao Peng, Olgica Milenkovic |
| 2022 | ISIT | Balanced and Swap-Robust Trades for Dynamical Distributed Storage. | Chao Pan, Ryan Gabrys, Xujun Liu, Charles J. Colbourn, Olgica Milenkovic |
| 2022 | WCNC | Asynchronous Federated Learning Empowered Computation Offloading in Collaborative Vehicular Networks. | Gexing Tian, Yifei Ren, Chao Pan, Zhenyu Zhou, Xiaoyan Wang |
| 2021 | ICASSP | Planar Array Geometry Optimization for Region Sound Acquisition. | Xi Chen, Chao Pan, Jingdong Chen, Jacob Benesty |
| 2021 | ICASSP | A Simplified Wiener Beamformer Based on Covariance Matrix Modelling. | Fan Zhang, Chao Pan, Jacob Benesty, Jingdong Chen |
| 2021 | ICDM | Highly Scalable and Provably Accurate Classification in Poincar Balls. | Eli Chien, Chao Pan, Puoya Tabaghi, Olgica Milenkovic |
| 2021 | ICIP | Liver Tumor Detection Via A Multi-Scale Intermediate Multi-Modal Fusion Network on MRI Images. | Chao Pan, Peiyun Zhou, Jingru Tan, Baoye Sun, Ruoyu Guan, Zhutao Wang, Ye Luo, Jianwei Lu |
| 2021 | ICLR | Spatio-Temporal Graph Scattering Transform. | Chao Pan, Siheng Chen, Antonio Ortega |
| 2021 | IJCNN | Neural Architecture Search Based on Evolutionary Algorithms with Fitness Approximation. | Chao Pan, Xin Yao |
| 2020 | ICASSP | Image Processing in DNA. | Chao Pan, S. M. Hossein Tabatabaei Yazdi, S. Kasra Tabatabaei, Alvaro G. Hernandez, Charles M. Schroeder, Olgica Milenkovic |
| 2019 | GLOBECOM | Online Resource Allocation for Energy Harvesting Based Large-Scale Multiple Antenna Systems. | Haijun Yu, Zhenyu Zhou, Chao Pan, Xiongwen Zhao, Shahid Mumtaz |
| 2018 | ACCV | Gradient-Guided DCNN for Inverse Halftoning and Image Expanding. | Yi Xiao, Chao Pan, Yan Zheng, Xianyi Zhu, Zheng Qin, Jin Yuan |
| 2014 | DASFAA | ρ-uncertainty Anonymization by Partial Suppression. | Xiao Jia, Chao Pan, Xinhui Xu, Kenny Q. Zhu, Eric Lo |
| 2014 | ICASSP | On the noisereduction performance of the MVDR beamformer innoisy and reverberant environments. | Chao Pan, Jingdong Chen, Jacob Benesty |
| 2012 | SIGGRAPH | Simplification of hexahedral mesh. | Chao Pan, Zhenyu Liu, Jianrong Tan |