| 2025 | MICCAI | MatchGen: Detecting Medical Abnormal Region by Generating Matched Normal Regions. | Xinyu Ma, Jinhui Ma, Shiqi He, Xin Che, Hon Yiu So, Lingyang Chu |
| 2024 | AAAI | Efficient Asynchronous Federated Learning with Prospective Momentum Aggregation and Fine-Grained Correction. | Yu Zang, Zhe Xue, Shilong Ou, Lingyang Chu, Junping Du, Yunfei Long |
| 2024 | CCS | TabularMark: Watermarking Tabular Datasets for Machine Learning. | Yihao Zheng, Haocheng Xia, Junyuan Pang, Jinfei Liu, Kui Ren, Lingyang Chu, Yang Cao, Li Xiong |
| 2024 | ECCV | Cocktail Universal Adversarial Attack on Deep Neural Networks. | Shaoxin Li, Xiaofeng Liao, Xin Che, Xintong Li, Yong Zhang, Lingyang Chu |
| 2024 | ICPR | Primary Key Free Watermarking for Numerical Tabular Datasets in Machine Learning. | Xin Che, Mohammad Akbari, Shaoxin Li, David (Ming Xuan) Yue, Yong Zhang, Lingyang Chu |
| 2024 | ICPR | Interpretable Deep Graph-Level Clustering: A Prototype-Based Approach. | Jianbin Cui, Lingyang Chu |
| 2024 | ICPR | Multifaceted Anchor Nodes Attack on Graph Neural Networks: A Budget-Efficient Approach. | Huanzhang Zhu, Shaoxin Li, Lingyang Chu |
| 2023 | ICDE | Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices. | Qiying Pan, Yifei Zhu, Lingyang Chu |
| 2022 | AAAI | Cosine Model Watermarking against Ensemble Distillation. | Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang |
| 2022 | MMM | Mining Minority-Class Examples with Uncertainty Estimates. | Gursimran Singh, Lingyang Chu, Lanjun Wang, Jian Pei, Qi Tian, Yong Zhang |
| 2021 | AAAI | Personalized Cross-Silo Federated Learning on Non-IID Data. | Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang |
| 2021 | ICCV | Finding Representative Interpretations on Convolutional Neural Networks. | Peter Cho-Ho Lam, Lingyang Chu, Maxim Torgonskiy, Jian Pei, Yong Zhang, Lanjun Wang |
| 2021 | ICDE | Stealthy Targeted Data Poisoning Attack on Knowledge Graphs. | Prithu Banerjee, Lingyang Chu, Yong Zhang, Laks V. S. Lakshmanan, Lanjun Wang |
| 2021 | KDD | Towards Fair Federated Learning. | Zirui Zhou, Lingyang Chu, Changxin Liu, Lanjun Wang, Jian Pei, Yong Zhang |
| 2020 | ICDE | Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution. | Zicun Cong, Lingyang Chu, Lanjun Wang, Xia Hu, Jian Pei |
| 2018 | ICDE | Mining Density Contrast Subgraphs. | Yu Yang, Lingyang Chu, Yanyan Zhang, Zhefeng Wang, Jian Pei, Enhong Chen |
| 2018 | KDD | Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution. | Lingyang Chu, Xia Hu, Juhua Hu, Lanjun Wang, Jian Pei |
| 2016 | KDD | Finding Gangs in War from Signed Networks. | Lingyang Chu, Zhefeng Wang, Jian Pei, Jiannan Wang, Zijin Zhao, Enhong Chen |
| 2011 | ICIP | Fast common visual pattern detection via radiate geometric model. | Lingyang Chu, Shuqiang Jiang, Qingming Huang |