Publications

* denotes the co-first author, and | denotes the corresponding author.

• Intervening on Few-Shot Object Detection based on the Front-Door Criterion. Yanan Zhang, Jiangmeng Li, Qirui Ji, Kai Li, Lixiang Liu, Changwen Zheng, and Wenwen Qiang. Springer Neural Networks, NN, (2025). [link]
• DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training. Yurou Liu, Jiahao Chen, Rui Jiao, Jiangmeng Li, Wenbing Huang, and Bing Su. ICLR 2025. [link]
• Supporting Vision-language Model Few-shot Inference with Confounder-pruned Knowledge Prompt. Jiangmeng Li, Wenyi Mo, Fei Song, Chuxiong Sun, Wenwen Qiang, Bing Su, and Changwen Zheng. Springer Neural Networks, NN, (2025). [link]
• Continual Test-Time Adaptation for Single Image Defocus Deblurring via Causal Siamese Networks. Shuang Cui*, Yi Li*, Jiangmeng Li*|, Xiongxin Tang, Bing Su, Fanjiang Xu, and Hui Xiong. International Journal of Computer Vision, VISI, IJCV, (2025). [link]
• MAP: Supporting multimodal Knowledge Graph Completion via Augmented Modality Alignment and Instance Preserving. Yi Li, Qingmeng Zhu, Fei Song, Changwen Zheng, and Jiangmeng Li|. International Conference on Acoustics, Speech and Signal Processing, ICASSP, (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, and Hui Xiong. International Journal of Computer Vision, VISI, IJCV, (2024). [link]
• On the Generalization and Causal Explanation in Self-Supervised Learning. Wenwen Qiang, Zeen Song, Ziyin Gu, Jiangmeng Li|, Changwen Zheng, Fuchun Sun, and Hui Xiong. International Journal of Computer Vision, VISI, IJCV, (2024). [link]
• Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective. Yanan Zhang, Jiangmeng Li*, Lixiang Liu, and Wenwen Qiang. NeurIPS 2024. [link]
• Physics-Guided Optical Simulation and PSF Analysis for Remote Sensing Images Deblurring. Fan Ji, Jing Wang, Shuang Cui, Jiangmeng Li|, Xiongxin Tang, and Fanjiang Xu. IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS 2024).
• MSI: Multi-modal Recommendation via Superfluous Semantics Discarding and Interaction Preserving. Yi Li, Qingmeng Zhu, Changwen Zheng, and Jiangmeng Li|. ICMR 2024.
• Introducing Diminutive Causal Structure into Graph Representation Learning. Hang Gao, Peng Qiao, Yifan Jin, Fengge Wu, Jiangmeng Li|, and Changwen Zheng. Elsevier Knowledge-Based Systems (2024).
• 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, and Hui Xiong. ICLR 2024. [link]
• Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning. Jiangmeng Li, Yifan Jin, Hang Gao, Wenwen Qiang, Changwen Zheng, and Fuchun Sun. AAAI 2024. [link]
• Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective. Qirui Ji*, Jiangmeng Li*|, Jie Hu, Rui Wang, Changwen Zheng, and Fanjiang Xu. AAAI 2024. [link]
• 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, and Changwen Zheng. AAAI 2024. [link]
• Rethinking Causal Relationships Learning in Graph Neural Networks. Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, and Huaping Liu. AAAI 2024. [link]
• Unsupervised Social Event Detection via Hybrid Graph Contrastive Learning and Reinforced Incremental Clustering. Yuanyuan Guo, Zehua Zang, Hang Gao, Xiao Xu, Rui Wang, Lixiang Liu, and Jiangmeng Li|. Elsevier Knowledge-Based Systems (2023). [link]
• Information Theory-Guided Heuristic Progressive Multi-View Coding. Jiangmeng Li, Hang Gao, Wenwen Qiang, and Changwen Zheng. Elsevier Neural Networks (2023). [link]
• M2HGCL: Multi-Scale Meta-Path Integrated Heterogeneous Graph Contrastive Learning. Yuanyuan Guo, Yu Xia, Rui Wang, Rongcheng Duan, Lu Li, and Jiangmeng Li|. ADMA 2023, Oral.
• Meta Attention-Generation Network for Cross-Granularity Few-Shot Learning. Wenwen Qiang*, Jiangmeng Li*, Bing Su, Jianlong Fu, Hui Xiong, and Ji-Rong Wen. International Journal of Computer Vision, Volume 131, 1211-1233 (2023). [link]
• 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, and Fuchun Sun. AAAI 2023. [link]
• Robust Causal Graph Representation Learning against Confounding Effects. Hang Gao*, Jiangmeng Li*|, Wenwen Qiang, Lingyu Si, Bing Xu, Changwen Zheng, and Fuchun Sun. AAAI 2023, Oral. [link]
• MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning. Jiangmeng Li, Wenwen Qiang, Yanan Zhang, Wenyi Mo, Changwen Zheng, Bing Su, and Hui Xiong. NeurIPS 2022, Spotlight. [link]
• Supporting Medical Relation Extraction via Causality-Pruned Semantic Dependency Forest. Yifan Jin*, Jiangmeng Li*|, Zheng Lian, Chengbo Jiao, and Xiaohui Hu. COLING 2022, Oral. [link]
• Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity. Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Farid Razzak, Ji-Rong Wen, and Hui Xiong. IEEE Transactions on Knowledge and Data Engineering, Volume 35, 7220-7238 (2023). [link]
• Weight-Aware Graph Contrastive Learning. Hang Gao, Jiangmeng Li, and Changwen Zheng. ICANN 2022.
• Multi-view representation learning from local consistency and global alignment. Lingyu Si, Wenwen Qiang, Jiangmeng Li, and Fanjiang Xu. Neurocomputing, Volume 501, 727-740 (2022).
• Self-Supervised Graph Learning with Segmented Graph Channels. Hang Gao, Jiangmeng Li, and Changwen Zheng. ECML PKDD 2022.
• Interventional Contrastive Learning with Meta Semantic Regularizer. Wenwen Qiang*, Jiangmeng Li*, Changwen Zheng, Bing Su, and Hui Xiong. ICML 2022. [link]
• MetAug: Contrastive Learning via Meta Feature Augmentation. Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, and Hui Xiong. ICML 2022. [link]
• Bootstrapping Informative Graph Augmentation via A Meta Learning Approach. Hang Gao*, Jiangmeng Li*|, Wenwen Qiang, Lingyu Si, Changwen Zheng, Fuchun Sun. IJCAI 2022. [link]
• RHMC: Modeling Consistent Information from Deep Multiple Views via Regularized and Hybrid Multiview Coding. Jiangmeng Li, Wenwen Qiang, Changwen Zheng, and Bing Su. Elsevier Knowledge-Based Systems, Volume 241, 108201 (2022). [link]
• Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation. Wenwen Qiang*, Jiangmeng Li*, Changwen Zheng, Bing Su, and Hui Xiong. IEEE Transactions on Knowledge and Data Engineering, Volume 35, 3014-3029 (2023). [link]
• Short Text Clustering with a Deep Multi-embedded Self-supervised Model. Kai Zhang, Zheng Lian, Jiangmeng Li, Haichang Li, and Xiaohui Hu. ICANN 2021.
• Auxiliary task guided mean and covariance alignment network for adversarial domain adaptation. Wenwen Qiang, Jiangmeng Li, Changwen Zheng, and Bing Su. Elsevier Knowledge-Based Systems, Volume 223, 107066 (2021). [link]