| 2026 | AAAI | Multitasks-based Deep Evidential Fusion Network for Blind Image Quality Assessment. | Yiwei Lou, Yuanpeng He, Rongchao Zhang, Yongzhi Cao, Hanpin Wang, Yu Huang |
| 2026 | AAAI | MedMKEB: A Comprehensive Knowledge Editing Benchmark for Medical Multimodal Large Language Models. | Dexuan Xu, Jieyi Wang, Zhongyan Chai, Yongzhi Cao, Hanpin Wang, Huamin Zhang, Yu Huang |
| 2026 | AAAI | Beyond Conservation: Flexible Molecular Assembly with Unbalanced Diffusion Bridge. | Rongchao Zhang, Yiwei Lou, Yu Huang, Yi Xin, Yongzhi Cao, Hanpin Wang |
| 2026 | FM | Formal Verification of Functional Correctness for the OpenHarmony LiteOS-M Kernel. | Tianqi Zhao, Qinxiang Cao, Shenghua Feng, Minghui Zhou, Naijun Zhan, Yongzhi Cao, Junfeng Zhao, Haiyan Zhao, Hao Wang, Zhenjiang Hu |
| 2025 | AAAI | Exploit Your Latents: Coarse-Grained Protein Backmapping with Latent Diffusion Models. | Rongchao Zhang, Yu Huang, Yiwei Lou, Yi Xin, Haixu Chen, Yongzhi Cao, Hanpin Wang |
| 2025 | ICLR | Differentiable Rule Induction from Raw Sequence Inputs. | Kun Gao, Katsumi Inoue, Yongzhi Cao, Hanpin Wang, Yang Feng |
| 2025 | UAI | Trading Off Voting Axioms for Privacy. | Zhechen Li, Ao Liu, Lirong Xia, Yongzhi Cao, Hanpin Wang |
| 2024 | AAAI | A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis. | Rongchao Zhang, Yiwei Lou, Dexuan Xu, Yongzhi Cao, Hanpin Wang, Yu Huang |
| 2024 | IJCAI | A differentiable first-order rule learner for inductive logic programming (Abstract Reprint). | Kun Gao, Katsumi Inoue, Yongzhi Cao, Hanpin Wang |
| 2024 | IJCAI | Label Leakage in Vertical Federated Learning: A Survey. | Yige Liu, Yiwei Lou, Yang Liu, Yongzhi Cao, Hanpin Wang |
| 2023 | AAAI | Differentially Private Condorcet Voting. | Zhechen Li, Ao Liu, Lirong Xia, Yongzhi Cao, Hanpin Wang |
| 2023 | ICDM | Refining the Unseen: Self-supervised Two-stream Feature Extraction for Image Quality Assessment. | Yiwei Lou, Yanyuan Chen, Dexuan Xu, Doudou Zhou, Yongzhi Cao, Hanpin Wang, Yu Huang |
| 2023 | IJCAI | First-Choice Maximality Meets Ex-ante and Ex-post Fairness. | Xiaoxi Guo, Sujoy Sikdar, Lirong Xia, Yongzhi Cao, Hanpin Wang |
| 2022 | IJCAI | Learning First-Order Rules with Differentiable Logic Program Semantics. | Kun Gao, Katsumi Inoue, Yongzhi Cao, Hanpin Wang |
| 2020 | AAAI | Multi-Type Resource Allocation with Partial Preferences. | Haibin Wang, Sujoy Sikdar, Xiaoxi Guo, Lirong Xia, Yongzhi Cao, Hanpin Wang |
| 2020 | CASES | The Shift PUF: Technique for Squaring the Machine Learning Complexity of Arbiter-based PUFs: Work-in-Progress. | Yi Tang, Donghang Wu, Yongzhi Cao, Marian Margraf |
| 2010 | APSEC | The Analysis of Sequence Diagram with Time Properties in Qualitative and Quantitative Aspects by Model Transformation. | Meixia Zhu, Hanpin Wang, Yongzhi Cao, Zizhen Wang, Wei Jin |
| 2010 | COMPSAC | Modeling BPEL and BPEL4People with a Timed Interruptable pi-Calculus. | Wei Jin, Hanpin Wang, Yongzhi Cao, Zizhen Wang, Xiaojuan Ban |
| 2010 | COMPSAC | A Game Perspective of Refinement of Component Models. | Zizhen Wang, Hanpin Wang, Yongzhi Cao, Wanling Qu, Wei Jin, Meixia Zhu |
| 2009 | CSL | On Model Checking Boolean BI. | Heng Guo, Hanpin Wang, Zhongyuan Xu, Yongzhi Cao |