| 2026 | AAAI | LoRA in LoRA: Towards Parameter-Efficient Architecture Expansion for Continual Visual Instruction Tuning. | Chang Che, Ziqi Wang, Pengwan Yang, Cheems Wang, Hui Ma, Zenglin Shi |
| 2026 | ACL | WebUncertainty: Dual-Level Uncertainty Driven Planning and Reasoning For Autonomous Web Agent. | Lingfeng Zhang, Yongan Sun, Jinpeng Hu, Hui Ma, Ying Yang, Kuien Liu, Zenglin Shi, Meng Wang |
| 2025 | ECAI | CCMPlus: Leveraging Latent Causal Relationships Among Web Services for Traffic Prediction. | Chang Tian, Mingzhe Xing, Zenglin Shi, Matthew B. Blaschko, Yinliang Yue, Marie-Francine Moens |
| 2025 | ICCV | SMoLoRa: Exploring and Defying Dual Catastrophic Forgetting in Continual Visual Instruction Tuning. | Ziqi Wang, Chang Che, Qi Wang, Yangyang Li, Zenglin Shi, Meng Wang |
| 2025 | ICCV | MobileIE: An Extremely Lightweight and Effective ConvNet for Real-Time Image Enhancement on Mobile Devices. | Hailong Yan, Ao Li, Xiangtao Zhang, Zhe Liu, Zenglin Shi, Ce Zhu, Le Zhang |
| 2025 | ICCV | Visual-Oriented Fine-Grained Knowledge Editing for MultiModal Large Language Models. | Zhen Zeng, Leijiang Gu, Xun Yang, Zhangling Duan, Zenglin Shi, Meng Wang |
| 2025 | ICLR | Precise Localization of Memories: A Fine-grained Neuron-level Knowledge Editing Technique for LLMs. | Haowen Pan, Xiaozhi Wang, Yixin Cao, Zenglin Shi, Xun Yang, Juanzi Li, Meng Wang |
| 2024 | WACV | Training-free Object Counting with Prompts. | Zenglin Shi, Ying Sun, Mengmi Zhang |
| 2023 | TASE | Approximately Learning Quantum Automata. | Wenjing Chu, Shuo Chen, Marcello M. Bonsangue, Zenglin Shi |
| 2022 | WACV | Non-local Attention Improves Description Generation for Retinal Images. | Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Zenglin Shi, I-Hung Lin, Jesper Tegnr, Marcel Worring |
| 2021 | ICCV | Social Fabric: Tubelet Compositions for Video Relation Detection. | Shuo Chen, Zenglin Shi, Pascal Mettes, Cees G. M. Snoek |
| 2021 | MICCAI | Frequency-Supervised MR-to-CT Image Synthesis. | Zenglin Shi, Pascal Mettes, Guoyan Zheng, Cees Snoek |
| 2019 | ICCV | Counting With Focus for Free. | Zenglin Shi, Pascal Mettes, Cees Snoek |
| 2018 | CVPR | Crowd Counting With Deep Negative Correlation Learning. | Zenglin Shi, Le Zhang, Yun Liu, Xiaofeng Cao, Yangdong Ye, Ming-Ming Cheng, Guoyan Zheng |
| 2018 | MICCAI | Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for Whole Heart Segmentation from 3D MR Images. | Zenglin Shi, Guodong Zeng, Le Zhang, Xiahai Zhuang, Lei Li, Guang Yang, Guoyan Zheng |