Zheng, Changwen

22 publications

AAAI 2025 Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach Hang Gao, Chenhao Zhang, Fengge Wu, Changwen Zheng, Junsuo Zhao, Huaping Liu

ICML 2025 LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification Hang Gao, Huang Wenxuan, Fengge Wu, Zhao Junsuo, Changwen Zheng, Huaping Liu

IJCAI 2025 Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning Hang Gao, Chenhao Zhang, Tie Wang, Junsuo Zhao, Fengge Wu, Changwen Zheng, Huaping Liu

MLJ 2025 Learning Complementary Knowledge via Trusted Multi-View Space Decomposition for Self-Supervised Contrastive Learning Jiangmeng Li, Yunze Zhao, Yifan Jin, Changwen Zheng, Wenwen Qiang

ICML 2025 Learning Invariant Causal Mechanism from Vision-Language Models Zeen Song, Siyu Zhao, Xingyu Zhang, Jiangmeng Li, Changwen Zheng, Wenwen Qiang

NeurIPS 2025 Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs Jingyao Wang, Wenwen Qiang, Zeen Song, Changwen Zheng, Hui Xiong

ICML 2025 On the Out-of-Distribution Generalization of Self-Supervised Learning Wenwen Qiang, Jingyao Wang, Zeen Song, Jiangmeng Li, Changwen Zheng

ICML 2025 Towards the Causal Complete Cause of Multi-Modal Representation Learning Jingyao Wang, Siyu Zhao, Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Fuchun Sun, Hui Xiong

ICLR 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, Hui Xiong

IJCAI 2024 Hacking Task Confounder in Meta-Learning Jingyao Wang, Yi Ren, Zeen Song, Jianqi Zhang, Changwen Zheng, Wenwen Qiang

AAAI 2024 Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning Jiangmeng Li, Yifan Jin, Hang Gao, Wenwen Qiang, Changwen Zheng, Fuchun Sun

AAAI 2024 Rethinking Causal Relationships Learning in Graph Neural Networks Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu

AAAI 2024 Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective Qirui Ji, Jiangmeng Li, Jie Hu, Rui Wang, Changwen Zheng, Fanjiang Xu

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, Changwen Zheng

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

AAAI 2023 Robust Causal Graph Representation Learning Against Confounding Effects Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Bing Xu, Changwen Zheng, Fuchun Sun

IJCAI 2022 Bootstrapping Informative Graph Augmentation via a Meta Learning Approach Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Fuchun Sun, Changwen Zheng

ICML 2022 Interventional Contrastive Learning with Meta Semantic Regularizer Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong

ICML 2022 MetAug: Contrastive Learning via Meta Feature Augmentation Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong

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

ECML-PKDD 2022 Self-Supervised Graph Learning with Segmented Graph Channels Hang Gao, Jiangmeng Li, Changwen Zheng

NeurIPS 2022 SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders Gang Li, Heliang Zheng, Daqing Liu, Chaoyue Wang, Bing Su, Changwen Zheng