| 2026 | AAAI | HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning. | Qirui Ji, Bin Qin, Yifan Jin, Yunze Zhao, Chuxiong Sun, Changwen Zheng, Jianwen Cao, Jiangmeng Li |
| 2026 | AAAI | Doubly Debiased Test-Time Prompt Tuning for Vision-Language Models. | Fei Song, Yi Li, Rui Wang, Jiahuan Zhou, Changwen Zheng, Jiangmeng Li |
| 2026 | AAAI | 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, Wei Wang |
| 2026 | AAAI | TMAE: Learning Targeted Multi-Agent Exploration via Causal Inference. | Chuxiong Sun, Dunqi Yao, Rui Wang, Wenwen Qiang, Changwen Zheng, Jiangmeng Li |
| 2025 | ICASSP | MAP: Supporting Multimodal Knowledge Graph Completion via Augmented Modality Alignment and Instance Preserving. | Yi Li, Qingmeng Zhu, Fei Song, Changwen Zheng, Jiangmeng Li |
| 2025 | ICCV | Self-Reinforcing Prototype Evolution with Dual-Knowledge Cooperation for Semi-Supervised Lifelong Person Re-Identification. | Kunlun Xu, Fan Zhuo, Jiangmeng Li, Xu Zou, Jiahuan Zhou |
| 2025 | ICLR | DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training. | Yurou Liu, Jiahao Chen, Rui Jiao, Jiangmeng Li, Wenbing Huang, Bing Su |
| 2025 | ICML | Rethinking the Bias of Foundation Model under Long-tailed Distribution. | Jiahao Chen, Bin Qin, Jiangmeng Li, Hao Chen, Bing Su |
| 2025 | ICML | On the Out-of-Distribution Generalization of Self-Supervised Learning. | Wenwen Qiang, Jingyao Wang, Zeen Song, Jiangmeng Li, Changwen Zheng |
| 2025 | ICML | Learning Invariant Causal Mechanism from Vision-Language Models. | Zeen Song, Siyu Zhao, Xingyu Zhang, Jiangmeng Li, Changwen Zheng, Wenwen Qiang |
| 2025 | ICML | Towards the Causal Complete Cause of Multi-Modal Representation Learning. | Jingyao Wang, Siyu Zhao, Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Fuchun Sun, Hui Xiong |
| 2025 | KDD | CellCLAT: Preserving Topology and Trimming Redundancy in Self-Supervised Cellular Contrastive Learning. | Bin Qin, Qirui Ji, Jiangmeng Li, Yupeng Wang, Xuesong Wu, Jianwen Cao, Fanjiang Xu |
| 2024 | AAAI | Rethinking Causal Relationships Learning in Graph Neural Networks. | Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu |
| 2024 | AAAI | Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective. | Qirui Ji, Jiangmeng Li, Jie Hu, Rui Wang, Changwen Zheng, Fanjiang Xu |
| 2024 | AAAI | Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning. | Jiangmeng Li, Yifan Jin, Hang Gao, Wenwen Qiang, Changwen Zheng, Fuchun Sun |
| 2024 | AAAI | T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration. | Chuxiong Sun, Zehua Zang, Jiabao Li, Jiangmeng Li, Xiao Xu, Rui Wang, Changwen Zheng |
| 2024 | ICDCS | Demo:SCDRL: Scalable and Customized Distributed Reinforcement Learning System. | Chuxiong Sun, Wenwen Qiang, Jiangmeng Li |
| 2024 | ICLR | BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction. | Jiangmeng Li, Fei Song, Yifan Jin, Wenwen Qiang, Changwen Zheng, Fuchun Sun, Hui Xiong |
| 2023 | AAAI | Robust Causal Graph Representation Learning against Confounding Effects. | Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Bing Xu, Changwen Zheng, Fuchun Sun |
| 2023 | AAAI | Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective. | Jiangmeng Li, Yanan Zhang, Wenwen Qiang, Lingyu Si, Chengbo Jiao, Xiaohui Hu, Changwen Zheng, Fuchun Sun |
| 2023 | ADMA | M | Yuanyuan Guo, Yu Xia, Rui Wang, Rongcheng Duan, Lu Li, Jiangmeng Li |
| 2022 | COLING | Supporting Medical Relation Extraction via Causality-Pruned Semantic Dependency Forest. | Yifan Jin, Jiangmeng Li, Zheng Lian, Chengbo Jiao, Xiaohui Hu |
| 2022 | ICANN | Weight-Aware Graph Contrastive Learning. | Hang Gao, Jiangmeng Li, Peng Qiao, Changwen Zheng |
| 2022 | ICML | MetAug: Contrastive Learning via Meta Feature Augmentation. | Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong |
| 2022 | ICML | Interventional Contrastive Learning with Meta Semantic Regularizer. | Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong |
| 2022 | IJCAI | Bootstrapping Informative Graph Augmentation via A Meta Learning Approach. | Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Fuchun Sun, Changwen Zheng |
| 2021 | ICANN | Short Text Clustering with a Deep Multi-embedded Self-supervised Model. | Kai Zhang, Zheng Lian, Jiangmeng Li, Haichang Li, Xiaohui Hu |