| 2025 | MMM | Grounding Deliberate Reasoning in Multimodal Large Language Models. | Jiaxing Chen, Yuxuan Liu, Dehu Li, Xiang An, Weimo Deng, Ziyong Feng, Yongle Zhao, Yin Xie |
| 2025 | SMC | Reinforcement Learning with Attention-based Multi-Scale Convolution Networks for Imperfect Information Games. | Weilin Yuan, Zhenzhen Hu, Jiaxing Chen, Shaofei Chen, Weiwei Zhao, Lina Lu |
| 2024 | CVPR | Hallucination Augmented Contrastive Learning for Multimodal Large Language Model. | Chaoya Jiang, Haiyang Xu, Mengfan Dong, Jiaxing Chen, Wei Ye, Ming Yan, Qinghao Ye, Ji Zhang, Fei Huang, Shikun Zhang |
| 2024 | CVPR | Aerial Lifting: Neural Urban Semantic and Building Instance Lifting from Aerial Imagery. | Yuqi Zhang, Guanying Chen, Jiaxing Chen, Shuguang Cui |
| 2024 | IROS | Offline Meta-Reinforcement Learning with Evolving Gradient Agreement. | Jiaxing Chen, Weilin Yuan, Shaofei Chen, Furong Liu, Ao Ma, Zhenzhen Hu, Peng Li |
| 2023 | DASFAA | Sequential Hypergraph Convolution Network for Next Item Recommendation. | Jiaxing Chen, Hongzhi Liu, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu |
| 2023 | ICDM | Bilateral Sequential Hypergraph Convolution Network for Reciprocal Recommendation. | Jiaxing Chen, Hongzhi Liu, Hongrui Guo, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu |
| 2021 | CVPR | Learning 3D Shape Feature for Texture-Insensitive Person Re-Identification. | Jiaxing Chen, Xinyang Jiang, Fudong Wang, Jun Zhang, Feng Zheng, Xing Sun, Wei-Shi Zheng |
| 2021 | IJCNN | Exploring the Relations of Local Semantic Features with GNNs for Few-Shot Classification. | Jiaxing Chen, Qinliang Su |
| 2021 | PRICAI | Network Embedding with Topology-Aware Textual Representations. | Jiaxing Chen, Zenan Xu, Qinliang Su |