Qiang, Wenwen

17 publications

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

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

AAAI 2024 Self-Supervised Representation Learning with Meta Comprehensive Regularization Huijie Guo, Ying Ba, Jie Hu, Lingyu Si, Wenwen Qiang, Lei Shi

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

ICLR 2023 Rethinking Skip Connection Model as a Learnable Markov Chain Dengsheng Chen, Jie Hu, Wenwen Qiang, Xiaoming Wei, Enhua Wu

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