| 2025 | AAAI | PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning. | Chengxiang Huang, Bingyan Liu |
| 2025 | CVPR | Encapsulated Composition of Text-to-Image and Text-to-Video Models for High-Quality Video Synthesis. | Tongtong Su, Chengyu Wang, Bingyan Liu, Jun Huang, Dongming Lu |
| 2025 | DAC | PracMHBench: Re-evaluating Model-Heterogeneous Federated Learning Based on Practical Edge Device Constraints. | Yuanchun Guo, Bingyan Liu, Yulong Sha, Zhensheng Xian |
| 2025 | ICASSP | CMoS: Customizing Model Structures for Personalized Federated Learning. | Bingyan Liu, Jing Yang |
| 2025 | ICASSP | Multiple Sclerosis Detection with Reinforcement Learning and Differential Evolution. | Jing Yang, Jin Yang, Chenwei Wu, Gaozhe Jiang, Yaning Lv, Bingyan Liu, Feng Xu |
| 2025 | IJCAI | AdaptEdit: An Adaptive Correspondence Guidance Framework for Reference-Based Video Editing. | Tongtong Su, Chengyu Wang, Bingyan Liu, Jun Huang, Dongming Lu |
| 2025 | INFOCOM | LuminaLink: Enabling Low Cost Secure Visible Light Communication with Birefringence. | Ruxin Lin, Bingyan Liu, Yelin Cui, Duo Liu, Ruipeng Gao, Xiaoqiang Zhu, Jiqiang Liu, Lingkun Li |
| 2025 | KDD | BTFL: A Bayesian-based Test-Time Generalization Method for Internal and External Data Distributions in Federated learning. | Yu Zhou, Bingyan Liu |
| 2025 | PRICAI | Vim-F: Visual State Space Model Benefiting from Learning in the Frequency Domain. | Juntao Zhang, Shaogeng Liu, Jun Zhou, Kun Bian, You Zhou, Jianning Liu, Pei Zhang, Bingyan Liu |
| 2024 | ACL | PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud. | Chengyu Wang, Zhongjie Duan, Bingyan Liu, Xinyi Zou, Cen Chen, Kui Jia, Jun Huang |
| 2024 | CVPR | Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing. | Bingyan Liu, Chengyu Wang, Tingfeng Cao, Kui Jia, Jun Huang |
| 2024 | CVPR | Traceable Federated Continual Learning. | Qiang Wang, Bingyan Liu, Yawen Li |
| 2024 | SP | No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML. | Ziqi Zhang, Chen Gong, Yifeng Cai, Yuanyuan Yuan, Bingyan Liu, Ding Li, Yao Guo, Xiangqun Chen |
| 2023 | ACL | Rapid Diffusion: Building Domain-Specific Text-to-Image Synthesizers with Fast Inference Speed. | Bingyan Liu, Weifeng Lin, Zhongjie Duan, Chengyu Wang, Ziheng Wu, Zhang Zipeng, Kui Jia, Lianwen Jin, Cen Chen, Jun Huang |
| 2023 | EMNLP | BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis. | Tingfeng Cao, Chengyu Wang, Bingyan Liu, Ziheng Wu, Jinhui Zhu, Jun Huang |
| 2023 | ICSE | FedSlice: Protecting Federated Learning Models from Malicious Participants with Model Slicing. | Ziqi Zhang, Yuanchun Li, Bingyan Liu, Yifeng Cai, Ding Li, Yao Guo, Xiangqun Chen |
| 2023 | VTC | Cross-Subcarrier Precoder Design for Massive MIMO-OFDM Downlink. | Yuxuan Zhang, An-An Lu, Bingyan Liu, Xiqi Gao, Xiang-Gen Xia |
| 2023 | WWW | Beyond Fine-Tuning: Efficient and Effective Fed-Tuning for Mobile/Web Users. | Bingyan Liu, Yifeng Cai, Hongzhe Bi, Ziqi Zhang, Ding Li, Yao Guo, Xiangqun Chen |
| 2022 | ICSE | ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing. | Ziqi Zhang, Yuanchun Li, Jindong Wang, Bingyan Liu, Ding Li, Yao Guo, Xiangqun Chen, Yunxin Liu |
| 2021 | AAAI | TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning. | Bingyan Liu, Yifeng Cai, Yao Guo, Xiangqun Chen |
| 2021 | ISSTA | ModelDiff: testing-based DNN similarity comparison for model reuse detection. | Yuanchun Li, Ziqi Zhang, Bingyan Liu, Ziyue Yang, Yunxin Liu |
| 2021 | WWW | PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization. | Bingyan Liu, Yao Guo, Xiangqun Chen |