Short Text Clustering with a Deep Multi-embedded Self-supervised Model. - Kai Zhang; Zheng Lian; Jiangmeng Li; Haichang Li; Xiaohui Hu (ICANN (5), 2021)

Auxiliary task guided mean and covariance alignment network for adversarial domain adaptation. - Wenwen Qiang; Jiangmeng Li; Changwen Zheng; Bing Su 001 (Knowl. Based Syst., 2021)

Supporting Medical Relation Extraction via Causality-Pruned Semantic Dependency Forest. - Yifan Jin; Jiangmeng Li; Zheng Lian; Chengbo Jiao; Xiaohui Hu (COLING, 2022)

Weight-Aware Graph Contrastive Learning. - Hang Gao 004; Jiangmeng Li; Peng Qiao; Changwen Zheng (ICANN (2), 2022)

MetAug: Contrastive Learning via Meta Feature Augmentation. - Jiangmeng Li; Wenwen Qiang; Changwen Zheng; Bing Su 001; Hui Xiong 001 (ICML, 2022)

Interventional Contrastive Learning with Meta Semantic Regularizer. - Wenwen Qiang; Jiangmeng Li; Changwen Zheng; Bing Su 001; Hui Xiong 001 (ICML, 2022)

Bootstrapping Informative Graph Augmentation via A Meta Learning Approach. - Hang Gao 004; Jiangmeng Li; Wenwen Qiang; Lingyu Si; Fuchun Sun 001; Changwen Zheng (IJCAI, 2022)

MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning. - Jiangmeng Li; Wenwen Qiang; Yanan Zhang; Wenyi Mo; Changwen Zheng; Bing Su 001; Hui Xiong 001 (NeurIPS, 2022)

Self-supervised Graph Learning with Segmented Graph Channels. - Hang Gao 004; Jiangmeng Li; Changwen Zheng (ECML/PKDD (2), 2022)

Supporting Vision-Language Model Inference with Causality-pruning Knowledge Prompt. - Jiangmeng Li; Wenyi Mo; Wenwen Qiang; Bing Su 001; Changwen Zheng (CoRR, 2022)

A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language. - Bing Su 001; Dazhao Du; Zhao Yang 006; Yujie Zhou; Jiangmeng Li; Anyi Rao; Hao Sun 002; Zhiwu Lu 001; Ji-Rong Wen (CoRR, 2022)

Multi-view representation learning from local consistency and global alignment. - Lingyu Si; Wenwen Qiang; Jiangmeng Li; Fanjiang Xu; Funchun Sun (Neurocomputing, 2022)

RHMC: Modeling consistent information from deep multiple views via Regularized and Hybrid Multiview Coding. - Jiangmeng Li; Wenwen Qiang; Changwen Zheng; Bing Su 001 (Knowl. Based Syst., 2022)

Robust Causal Graph Representation Learning against Confounding Effects. - Hang Gao 004; Jiangmeng Li; Wenwen Qiang; Lingyu Si; Bing Xu; Changwen Zheng; Fuchun Sun 001 (AAAI, 2023)

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 001 (AAAI, 2023)

M2HGCL: Multi-scale Meta-path Integrated Heterogeneous Graph Contrastive Learning. - Yuanyuan Guo; Yu Xia; Rui Wang; Rongcheng Duan; Lu Li; Jiangmeng Li (ADMA (3), 2023)

Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective. - Hang Gao 004; Jiangmeng Li; Wenwen Qiang; Lingyu Si; Xingzhe Su; Fengge Wu; Changwen Zheng; Fuchun Sun 001 (CoRR, 2023)

Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning. - Jiahao Chen; Yurou Liu; Jiangmeng Li; Bing Su 001; Jirong Wen (CoRR, 2023)

M2HGCL: Multi-Scale Meta-Path Integrated Heterogeneous Graph Contrastive Learning. - Yuanyuan Guo; Yu Xia; Rui Wang; Rongcheng Duan; Lu Li; Jiangmeng Li (CoRR, 2023)

Rule Learning over Knowledge Graphs: A Review. - Hong Wu; Zhe Wang 001; Kewen Wang 001; Pouya Ghiasnezhad Omran; Jiangmeng Li (TGDK, 2023)

Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation. - Wenwen Qiang; Jiangmeng Li; Changwen Zheng; Bing Su 001; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2023)

Meta Attention-Generation Network for Cross-Granularity Few-Shot Learning. - Wenwen Qiang; Jiangmeng Li; Bing Su 001; Jianlong Fu; Hui Xiong 001; Ji-Rong Wen (Int. J. Comput. Vis., 2023)

Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity. - Jiangmeng Li; Wenwen Qiang; Changwen Zheng; Bing Su 001; Farid Razzak; Ji-Rong Wen; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2023)

Information theory-guided heuristic progressive multi-view coding. - Jiangmeng Li; Hang Gao 004; Wenwen Qiang; Changwen Zheng (Neural Networks, 2023)

Rethinking Causal Relationships Learning in Graph Neural Networks. - Hang Gao 004; Chengyu Yao; Jiangmeng Li; Lingyu Si; Yifan Jin; Fengge Wu; Changwen Zheng; Huaping Liu 001 (AAAI, 2024)

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)

Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning. - Jiangmeng Li; Yifan Jin; Hang Gao 004; Wenwen Qiang; Changwen Zheng; Fuchun Sun 001 (AAAI, 2024)

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 079; Changwen Zheng (AAAI, 2024)

Demo:SCDRL: Scalable and Customized Distributed Reinforcement Learning System. - Chuxiong Sun; Wenwen Qiang; Jiangmeng Li (ICDCS, 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 001; Hui Xiong 001 (ICLR, 2024)

MSI: Multi-modal Recommendation via Superfluous Semantics Discarding and Interaction Preserving. - Yi Li; Qingmeng Zhu; Changwen Zheng; Jiangmeng Li (ICMR, 2024)

Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective. - Yanan Zhang; Jiangmeng Li; Lixiang Liu; Wenwen Qiang (NeurIPS, 2024)

Graph Partial Label Learning with Potential Cause Discovering. - Hang Gao 004; Jiaguo Yuan; Jiangmeng Li; Chengyu Yao; Fengge Wu; Junsuo Zhao; Changwen Zheng (CoRR, 2024)

Explicitly Modeling Universality into Self-Supervised Learning. - Jingyao Wang; Wenwen Qiang; Zeen Song; Lingyu Si; Jiangmeng Li; Changwen Zheng; Bing Su 001 (CoRR, 2024)

Learning Invariant Causal Mechanism from Vision-Language Models. - Zeen Song; Siyu Zhao; Xingyu Zhang; Jiangmeng Li; Changwen Zheng; Wenwen Qiang (CoRR, 2024)

Interventional Imbalanced Multi-Modal Representation Learning via β-Generalization Front-Door Criterion. - Yi Li; Jiangmeng Li; Fei Song; Qingmeng Zhu; Changwen Zheng; Wenwen Qiang (CoRR, 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)

Revisiting Spurious Correlation in Domain Generalization. - Bin Qin 001; Jiangmeng Li; Yi Li; Xuesong Wu 005; Yupeng Wang 005; Wenwen Qiang; Jianwen Cao 001 (CoRR, 2024)

On the Causal Sufficiency and Necessity of Multi-Modal Representation Learning. - Jingyao Wang; Wenwen Qiang; Jiangmeng Li; Lingyu Si; Changwen Zheng; Bing Su 001 (CoRR, 2024)

Rethinking Meta-Learning from a Learning Lens. - Jingyao Wang; Wenwen Qiang; Jiangmeng Li; Lingyu Si; Changwen Zheng (CoRR, 2024)

Neuromodulated Meta-Learning. - Jingyao Wang; Huijie Guo; Wenwen Qiang; Jiangmeng Li; Changwen Zheng; Hui Xiong 001; Gang Hua 001 (CoRR, 2024)

Introducing diminutive causal structure into graph representation learning. - Hang Gao 004; Peng Qiao; Yifan Jin; Fengge Wu; Jiangmeng Li; Changwen Zheng (Knowl. Based Syst., 2024)

Unsupervised social event detection via hybrid graph contrastive learning and reinforced incremental clustering. - Yuanyuan Guo; Zehua Zang; Hang Gao 004; Xiao Xu; Rui Wang 086; Lixiang Liu; Jiangmeng Li (Knowl. Based Syst., 2024)

Physics-Guided Optical Simulation and PSF Analysis for Remote Sensing Images Deblurring. - Fan Ji; Jing Wang; Shuang Cui; Jiangmeng Li; Xiongxin Tang; Fanjiang Xu (IEEE Trans. Geosci. Remote. Sens., 2024)

MAP: Supporting Multimodal Knowledge Graph Completion via Augmented Modality Alignment and Instance Preserving. - Yi Li; Qingmeng Zhu; Fei Song; Changwen Zheng; Jiangmeng Li (ICASSP, 2025)

DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training. - Yurou Liu; Jiahao Chen; Rui Jiao; Jiangmeng Li; Wenbing Huang 001; Bing Su 001 (ICLR, 2025)

Learning Adaptive High-Frequency Semantic Guidance for Low-light Image Enhancement. - Hao Li; Jingxuan Zhou; Jinlong Wang; Jiangmeng Li; Xiongxin Tang; Fanjiang Xu (ICME, 2025)

RBDN: A Robust Background Denoising Network for Weakly Supervised Temporal Language Grounding. - Yifan Lyu; Zehua Zang; Hongzhou Wu; Lixiang Liu; Jiangmeng Li (ICME, 2025)

Causal Deconfounding for Spurious Correlation in Domain Generalization. - Bin Qin 001; Yi Li; Jiangmeng Li; Xuesong Wu 005; Yupeng Wang 005; Jianwen Cao 001 (ICME, 2025)

Supporting vision-language model few-shot inference with confounder-pruned knowledge prompt. - Jiangmeng Li; Wenyi Mo; Fei Song; Chuxiong Sun; Wenwen Qiang; Bing Su 001; Changwen Zheng (Neural Networks, 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)

Rethinking the Bias of Foundation Model under Long-tailed Distribution. - Jiahao Chen; Bin Qin 001; Jiangmeng Li; Hao Chen; Bing Su 001 (CoRR, 2025)

On the Generalization and Causal Explanation in Self-Supervised Learning. - Wenwen Qiang; Zeen Song; Ziyin Gu; Jiangmeng Li; Changwen Zheng; Fuchun Sun 001; Hui Xiong 001 (Int. J. Comput. Vis., 2025)

CAIFormer: A Causal Informed Transformer for Multivariate Time Series Forecasting. - Xingyu Zhang; Wenwen Qiang; Siyu Zhao; Huijie Guo; Jiangmeng Li; Chuxiong Sun; Changwen Zheng (CoRR, 2025)

On the Out-of-Distribution Generalization of Self-Supervised Learning. - Wenwen Qiang; Jingyao Wang; Zeen Song; Jiangmeng Li; Changwen Zheng (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)

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation. - Wenwen Qiang; Ziyin Gu; Lingyu Si; Jiangmeng Li; Changwen Zheng; Fuchun Sun 001; Hui Xiong 001 (CoRR, 2025)

Multi-Modal Learning with Bayesian-Oriented Gradient Calibration. - Peizheng Guo; Jingyao Wang; Huijie Guo; Jiangmeng Li; Chuxiong Sun; Changwen Zheng; Wenwen Qiang (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)

Self-Reinforcing Prototype Evolution with Dual-Knowledge Cooperation for Semi-Supervised Lifelong Person Re-Identification. - Kunlun Xu; Fan Zhuo; Jiangmeng Li; Xu Zou 002; Jiahuan Zhou (CoRR, 2025)

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis. - Shuang Cui; Jinglin Xu; Yi Li; Xiongxin Tang; Jiangmeng Li; Jiahuan Zhou; Fanjiang Xu; Fuchun Sun 001; Hui Xiong 001 (CoRR, 2025)

Continual Test-Time Adaptation for Single Image Defocus Deblurring via Causal Siamese Networks. - Shuang Cui; Yi Li; Jiangmeng Li; Xiongxin Tang; Bing Su 001; Fanjiang Xu; Hui Xiong 001 (Int. J. Comput. Vis., 2025)

C2Prompt: Class-aware Client Knowledge Interaction for Federated Continual Learning. - Kunlun Xu; Yibo Feng; Jiangmeng Li; Yongsheng Qi; Jiahuan Zhou (CoRR, 2025)

Visual reinforcement learning via sequential consistency preserved policy contrast from optimal transport view. - Zehua Zang; Jiangmeng Li; Chuxiong Sun; Rui Wang 079; Lixiang Liu; Fuchun Sun 001 (Neural Networks, 2026)