| 2025 | ICCV | 4D-Bench: Benchmarking Multi-Modal Large Language Models for 4D Object Understanding. | Wenxuan Zhu, Bing Li, Cheng Zheng, Jinjie Mai, Jun Chen, Letian Jiang, Abdullah Hamdi, Sara Rojas Martinez, Chia-Wen Lin, Mohamed Elhoseiny, Bernard Ghanem |
| 2024 | CVPR | Unleashing Channel Potential: Space-Frequency Selection Convolution for SAR Object Detection. | Ke Li, Di Wang, Zhangyuan Hu, Wenxuan Zhu, Shaofeng Li, Quan Wang |
| 2024 | ECCV | TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Tracks. | Jinjie Mai, Wenxuan Zhu, Sara Rojas, Jesus Zarzar, Abdullah Hamdi, Guocheng Qian, Bing Li, Silvio Giancola, Bernard Ghanem |
| 2024 | IGARSS | Transferable Physical Adversarial Patch Attack for Remote Sensing Object Detection. | Di Wang, Wenxuan Zhu, Ke Li, Xiao Gao, Pengfei Yang |
| 2024 | IJCAI | Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models. | Shiyu Xia, Wenxuan Zhu, Xu Yang, Xin Geng |
| 2023 | IJCAI | Causal Deep Reinforcement Learning Using Observational Data. | Wenxuan Zhu, Chao Yu, Qiang Zhang |
| 2020 | IJCNN | A Preliminary Study of Fusion ARTs with Adaptively Information Intensity Attenuation Controlling. | Wenxuan Zhu, Yaqing Hou, Qiang Zhang, Hongwei Ge, Xin Yang, Liang Feng, Xinghua Qu |
| 2018 | PRICAI | Adaptively Shaping Reinforcement Learning Agents via Human Reward. | Chao Yu, Dongxu Wang, Tianpei Yang, Wenxuan Zhu, Yuchen Li, Hongwei Ge, Jiankang Ren |