Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective. - Qirui Ji; Jiangmeng Li; Jie Hu 019; Rui Wang 079; Changwen Zheng; Fanjiang Xu (AAAI, 2024)

Teleporter Theory: A General and Simple Approach for Modeling Cross-World Counterfactual Causality. - Jiangmeng Li; Bin Qin 001; Qirui Ji; Yi Li; Wenwen Qiang; Jianwen Cao 001; Fanjiang Xu (CoRR, 2024)

Mastering Visual Reinforcement Learning via Positive Unlabeled Policy-Guided Contrast. - Zehua Zang; Qirui Ji; Rui Wang 079; Kai Li 047; Lixiang Liu; Fuchun Sun 001 (ICIC (12), 2025)

Intervening on few-shot object detection based on the front-door criterion. - Yanan Zhang; Jiangmeng Li; Qirui Ji; Kai Li; Lixiang Liu; Changwen Zheng; Wenwen Qiang (Neural Networks, 2025)

M2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference. - Chuxiong Sun; Peng He; Qirui Ji; Zehua Zang; Jiangmeng Li; Rui Wang 079; Wei Wang (CoRR, 2025)

CellCLAT: Preserving Topology and Trimming Redundancy in Self-Supervised Cellular Contrastive Learning. - Bin Qin 001; Qirui Ji; Jiangmeng Li; Yupeng Wang 005; Xuesong Wu 005; Jianwen Cao 001; Fanjiang Xu (CoRR, 2025)

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective. - Jiangmeng Li; Zehua Zang; Qirui Ji; Chuxiong Sun; Wenwen Qiang; Junge Zhang; Changwen Zheng; Fuchun Sun 001; Hui Xiong 001 (Int. J. Comput. Vis., 2025)