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2020 – today
- 2024
[j11]Yuanyuan Guo, Zehua Zang, Hang Gao
, Xiao Xu, Rui Wang, Lixiang Liu, Jiangmeng Li:
Unsupervised social event detection via hybrid graph contrastive learning and reinforced incremental clustering. Knowl. Based Syst. 284: 111225 (2024)- [j10]Hang Gao, Peng Qiao, Yifan Jin, Fengge Wu, Jiangmeng Li, Changwen Zheng:
Introducing diminutive causal structure into graph representation learning. Knowl. Based Syst. 293: 111592 (2024) - [j9]Fan Ji, Jing Wang, Shuang Cui, Jiangmeng Li, Xiongxin Tang, Fanjiang Xu:
Physics-Guided Optical Simulation and PSF Analysis for Remote Sensing Images Deblurring. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [c18]Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu:
Rethinking Causal Relationships Learning in Graph Neural Networks. AAAI 2024: 12145-12154 - [c17]Qirui Ji, Jiangmeng Li, Jie Hu, Rui Wang, Changwen Zheng, Fanjiang Xu:
Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective. AAAI 2024: 12810-12820 - [c16]Jiangmeng Li, Yifan Jin, Hang Gao, Wenwen Qiang, Changwen Zheng, Fuchun Sun:
Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning. AAAI 2024: 13518-13527 - [c15]Chuxiong Sun, Zehua Zang, Jiabao Li, Jiangmeng Li, Xiao Xu, Rui Wang, Changwen Zheng:
T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration. AAAI 2024: 15154-15163 - [c14]Chuxiong Sun, Wenwen Qiang, Jiangmeng Li:
Demo:SCDRL: Scalable and Customized Distributed Reinforcement Learning System. ICDCS 2024: 1404-1407 - [c13]Jiangmeng Li, Fei Song, Yifan Jin, Wenwen Qiang, Changwen Zheng, Fuchun Sun, Hui Xiong:
BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction. ICLR 2024 - [c12]Yi Li, Qingmeng Zhu, Changwen Zheng, Jiangmeng Li:
MSI: Multi-modal Recommendation via Superfluous Semantics Discarding and Interaction Preserving. ICMR 2024: 814-823 - [i31]Chuxiong Sun, Zehua Zang, Jiabao Li, Jiangmeng Li, Xiao Xu, Rui Wang, Changwen Zheng:
T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration. CoRR abs/2401.10973 (2024) - [i30]Jiangmeng Li, Fei Song, Yifan Jin, Wenwen Qiang, Changwen Zheng, Fuchun Sun, Hui Xiong:
BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction. CoRR abs/2401.14166 (2024) - [i29]Hang Gao, Jiaguo Yuan, Jiangmeng Li, Chengyu Yao, Fengge Wu, Junsuo Zhao, Changwen Zheng:
Graph Partial Label Learning with Potential Cause Discovering. CoRR abs/2403.11449 (2024) - [i28]Jingyao Wang, Wenwen Qiang, Zeen Song, Lingyu Si, Jiangmeng Li, Changwen Zheng, Bing Su:
Explicitly Modeling Universality into Self-Supervised Learning. CoRR abs/2405.01053 (2024) - [i27]Zeen Song, Siyu Zhao, Xingyu Zhang, Jiangmeng Li, Changwen Zheng, Wenwen Qiang:
Learning Invariant Causal Mechanism from Vision-Language Models. CoRR abs/2405.15289 (2024) - [i26]Hang Gao, Peng Qiao, Yifan Jin, Fengge Wu, Jiangmeng Li, Changwen Zheng:
Introducing Diminutive Causal Structure into Graph Representation Learning. CoRR abs/2406.08709 (2024) - [i25]Yi Li, Jiangmeng Li, Fei Song, Qingmeng Zhu, Changwen Zheng, Wenwen Qiang:
Interventional Imbalanced Multi-Modal Representation Learning via β-Generalization Front-Door Criterion. CoRR abs/2406.11490 (2024) - [i24]Jiangmeng Li, Bin Qin, Qirui Ji, Yi Li, Wenwen Qiang, Jianwen Cao, Fanjiang Xu:
Teleporter Theory: A General and Simple Approach for Modeling Cross-World Counterfactual Causality. CoRR abs/2406.11501 (2024) - [i23]Bin Qin, Jiangmeng Li, Yi Li, Xuesong Wu, Yupeng Wang, Wenwen Qiang, Jianwen Cao:
Revisiting Spurious Correlation in Domain Generalization. CoRR abs/2406.11517 (2024) - [i22]Jingyao Wang, Wenwen Qiang, Jiangmeng Li, Lingyu Si, Changwen Zheng, Bing Su:
On the Causal Sufficiency and Necessity of Multi-Modal Representation Learning. CoRR abs/2407.14058 (2024) - [i21]Jingyao Wang, Wenwen Qiang, Jiangmeng Li, Lingyu Si, Changwen Zheng:
Rethinking Meta-Learning from a Learning Lens. CoRR abs/2409.08474 (2024) - [i20]Wenwen Qiang, Zeen Song, Ziyin Gu, Jiangmeng Li, Changwen Zheng, Fuchun Sun, Hui Xiong:
On the Generalization and Causal Explanation in Self-Supervised Learning. CoRR abs/2410.00772 (2024) - 2023
- [j8]Wenwen Qiang, Jiangmeng Li, Bing Su, Jianlong Fu, Hui Xiong, Ji-Rong Wen:
Meta Attention-Generation Network for Cross-Granularity Few-Shot Learning. Int. J. Comput. Vis. 131(5): 1211-1233 (2023) - [j7]Jiangmeng Li, Hang Gao, Wenwen Qiang, Changwen Zheng:
Information theory-guided heuristic progressive multi-view coding. Neural Networks 167: 415-432 (2023) - [j6]Hong Wu, Zhe Wang, Kewen Wang, Pouya Ghiasnezhad Omran, Jiangmeng Li:
Rule Learning over Knowledge Graphs: A Review. TGDK 1(1): 7:1-7:23 (2023) - [j5]Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong:
Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation. IEEE Trans. Knowl. Data Eng. 35(3): 3014-3029 (2023) - [j4]Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Farid Razzak, Ji-Rong Wen, Hui Xiong:
Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity. IEEE Trans. Knowl. Data Eng. 35(7): 7220-7238 (2023) - [c11]Jiangmeng Li, Yanan Zhang, Wenwen Qiang, Lingyu Si, Chengbo Jiao, Xiaohui Hu, Changwen Zheng, Fuchun Sun:
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective. AAAI 2023: 1323-1333 - [c10]Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Bing Xu, Changwen Zheng, Fuchun Sun:
Robust Causal Graph Representation Learning against Confounding Effects. AAAI 2023: 7624-7632 - [c9]Yuanyuan Guo, Yu Xia, Rui Wang, Rongcheng Duan, Lu Li, Jiangmeng Li:
M2HGCL: Multi-scale Meta-path Integrated Heterogeneous Graph Contrastive Learning. ADMA (3) 2023: 352-367 - [i19]Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Xingzhe Su, Fengge Wu, Changwen Zheng, Fuchun Sun:
Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective. CoRR abs/2301.08496 (2023) - [i18]Jiahao Chen, Yurou Liu, Jiangmeng Li, Bing Su, Jirong Wen:
Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning. CoRR abs/2305.12618 (2023) - [i17]Jiangmeng Li, Hang Gao, Wenwen Qiang, Changwen Zheng:
Information Theory-Guided Heuristic Progressive Multi-View Coding. CoRR abs/2308.10522 (2023) - [i16]Yuanyuan Guo, Yu Xia, Rui Wang, Rongcheng Duan, Lu Li, Jiangmeng Li:
M2HGCL: Multi-Scale Meta-Path Integrated Heterogeneous Graph Contrastive Learning. CoRR abs/2309.01101 (2023) - [i15]Yuanyuan Guo, Zehua Zang, Hang Gao, Xiao Xu, Rui Wang, Lixiang Liu, Jiangmeng Li:
Unsupervised Social Event Detection via Hybrid Graph Contrastive Learning and Reinforced Incremental Clustering. CoRR abs/2312.08374 (2023) - [i14]Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu:
Rethinking Causal Relationships Learning in Graph Neural Networks. CoRR abs/2312.09613 (2023) - [i13]Qirui Ji, Jiangmeng Li, Jie Hu, Rui Wang, Changwen Zheng, Fanjiang Xu:
Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective. CoRR abs/2312.10401 (2023) - [i12]Jiangmeng Li, Yifan Jin, Hang Gao, Wenwen Qiang, Changwen Zheng, Fuchun Sun:
Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning. CoRR abs/2312.14222 (2023) - 2022
- [j3]Lingyu Si, Wenwen Qiang, Jiangmeng Li, Fanjiang Xu, Funchun Sun:
Multi-view representation learning from local consistency and global alignment. Neurocomputing 501: 727-740 (2022) - [j2]Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su:
RHMC: Modeling consistent information from deep multiple views via Regularized and Hybrid Multiview Coding. Knowl. Based Syst. 241: 108201 (2022) - [c8]Yifan Jin, Jiangmeng Li, Zheng Lian, Chengbo Jiao, Xiaohui Hu:
Supporting Medical Relation Extraction via Causality-Pruned Semantic Dependency Forest. COLING 2022: 2450-2460 - [c7]Hang Gao, Jiangmeng Li, Peng Qiao, Changwen Zheng:
Weight-Aware Graph Contrastive Learning. ICANN (2) 2022: 719-730 - [c6]Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong:
MetAug: Contrastive Learning via Meta Feature Augmentation. ICML 2022: 12964-12978 - [c5]Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong:
Interventional Contrastive Learning with Meta Semantic Regularizer. ICML 2022: 18018-18030 - [c4]Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Fuchun Sun, Changwen Zheng:
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach. IJCAI 2022: 3001-3007 - [c3]Jiangmeng Li, Wenwen Qiang, Yanan Zhang, Wenyi Mo, Changwen Zheng, Bing Su, Hui Xiong:
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning. NeurIPS 2022 - [c2]Hang Gao, Jiangmeng Li, Changwen Zheng:
Self-supervised Graph Learning with Segmented Graph Channels. ECML/PKDD (2) 2022: 293-308 - [i11]Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Changwen Zheng, Fuchun Sun:
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach. CoRR abs/2201.03812 (2022) - [i10]Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong:
Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation. CoRR abs/2203.04156 (2022) - [i9]Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong:
MetAug: Contrastive Learning via Meta Feature Augmentation. CoRR abs/2203.05119 (2022) - [i8]Jiangmeng Li, Wenyi Mo, Wenwen Qiang, Bing Su, Changwen Zheng:
Supporting Vision-Language Model Inference with Causality-pruning Knowledge Prompt. CoRR abs/2205.11100 (2022) - [i7]Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong:
Interventional Contrastive Learning with Meta Semantic Regularizer. CoRR abs/2206.14702 (2022) - [i6]Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Bing Xu, Changwen Zheng, Fuchun Sun:
Robust Causal Graph Representation Learning against Confounding Effects. CoRR abs/2208.08584 (2022) - [i5]Jiangmeng Li, Yanan Zhang, Wenwen Qiang, Lingyu Si, Chengbo Jiao, Xiaohui Hu, Changwen Zheng, Fuchun Sun:
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal Perspective. CoRR abs/2208.12681 (2022) - [i4]Yifan Jin, Jiangmeng Li, Zheng Lian, Chengbo Jiao, Xiaohui Hu:
Supporting Medical Relation Extraction via Causality-Pruned Semantic Dependency Forest. CoRR abs/2208.13472 (2022) - [i3]Bing Su, Dazhao Du, Zhao Yang, Yujie Zhou, Jiangmeng Li, Anyi Rao, Hao Sun, Zhiwu Lu, Ji-Rong Wen:
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language. CoRR abs/2209.05481 (2022) - [i2]Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Farid Razzak, Ji-Rong Wen, Hui Xiong:
Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity. CoRR abs/2209.07811 (2022) - [i1]Jiangmeng Li, Wenwen Qiang, Yanan Zhang, Wenyi Mo, Changwen Zheng, Bing Su, Hui Xiong:
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning. CoRR abs/2209.07902 (2022) - 2021
- [j1]Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su:
Auxiliary task guided mean and covariance alignment network for adversarial domain adaptation. Knowl. Based Syst. 223: 107066 (2021) - [c1]Kai Zhang, Zheng Lian, Jiangmeng Li, Haichang Li, Xiaohui Hu:
Short Text Clustering with a Deep Multi-embedded Self-supervised Model. ICANN (5) 2021: 150-161
Coauthor Index
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