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Changwen Zheng
- > Home > Persons > Changwen Zheng
Publications
- 2024
- [c62]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 - [c61]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 - [c60]Jiangmeng Li, Yifan Jin, Hang Gao, Wenwen Qiang, Changwen Zheng, Fuchun Sun:
Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning. AAAI 2024: 13518-13527 - [c59]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 - [i29]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) - [i28]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) - [i27]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) - 2023
- [j39]Jiangmeng Li, Hang Gao, Wenwen Qiang, Changwen Zheng:
Information theory-guided heuristic progressive multi-view coding. Neural Networks 167: 415-432 (2023) - [j37]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) - [j36]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) - [c58]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 - [c57]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 - [i26]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]Jiangmeng Li, Hang Gao, Wenwen Qiang, Changwen Zheng:
Information Theory-Guided Heuristic Progressive Multi-View Coding. CoRR abs/2308.10522 (2023) - [i15]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) - [i14]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) - [i13]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
- [j34]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) - [c53]Hang Gao, Jiangmeng Li, Peng Qiao, Changwen Zheng:
Weight-Aware Graph Contrastive Learning. ICANN (2) 2022: 719-730 - [c50]Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong:
MetAug: Contrastive Learning via Meta Feature Augmentation. ICML 2022: 12964-12978 - [c49]Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong:
Interventional Contrastive Learning with Meta Semantic Regularizer. ICML 2022: 18018-18030 - [c48]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 - [c46]Jiangmeng Li, Wenwen Qiang, Yanan Zhang, Wenyi Mo, Changwen Zheng, Bing Su, Hui Xiong:
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning. NeurIPS 2022 - [c44]Hang Gao, Jiangmeng Li, Changwen Zheng:
Self-supervised Graph Learning with Segmented Graph Channels. ECML/PKDD (2) 2022: 293-308 - [i12]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) - [i11]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) - [i10]Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong:
MetAug: Contrastive Learning via Meta Feature Augmentation. CoRR abs/2203.05119 (2022) - [i9]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]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) - [i3]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
- [j32]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)
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last updated on 2024-04-09 23:25 CEST by the dblp team
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