Publications

Full Publications in [Google Scholar Profile] [dblp]

(* Corresponding author; † Equal contribution)

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Preprints

• Peizheng Guo, Jingyao Wang, Huijie Guo, Jiangmeng Li, Chuxiong Sun, Changwen Zheng, Wenwen Qiang*.
  Multi-Modal Learning with Bayesian-Oriented Gradient Calibration.
  

• Wenwen Qiang, Ziyin Gu, Lingyu Si, Jiangmeng Li, Changwen Zheng, Fuchun Sun, Hui Xiong.
  On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation.
  

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

• Jingyao Wang, Jianqi Zhang, Wenwen Qiang*, Changwen Zheng.
  Causal Prompt Calibration Guided Segment Anything Model for Open-Vocabulary Multi-Entity Segmentation.
  

• Jingyao Wang, Huijie Guo, Wenwen Qiang*, Jiangmeng Li, Changwen Zheng, Hui Xiong, Gang Hua.
  Neuromodulated Meta-Learning.
  

• Xingyu Zhang, Wenwen Qiang*, Siyu Zhao, Huijie Guo, Jiangmeng Li, Chuxiong Sun, Changwen Zheng.
  CAIFormer: A Causal Informed Transformer for Multivariate Time Series Forecasting.
  

• Wenwen Qiang, Jingyao Wang, Changwen Zheng, Xiong Hui, Hua Gang.
  On the Universality of Self-Supervised Representation Learning.
  

• Zeen Song, Wenwen Qiang*, Siyu Zhao, Changwen Zheng, Hua Gang.
  Reward Model Generalization for Compute-Aware Test-Time Reasoning.
  

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Selected Publications

• Wenwen Qiang, Jingyao Wang, Zeen Song, Jiangmeng Li, Changwen Zheng.
  On the Out-of-Distribution Generalization of Self-Supervised Learning.
  International Conference on Machine Learning (ICML), 2025.
  

• Jingyao Wang, Siyu Zhao, Wenwen Qiang*, Jiangmeng Li, Changwen Zheng, Fuchun Sun, Hui Xiong.
  Towards the Causal Complete Cause of Multi-Modal Representation Learning.
  International Conference on Machine Learning (ICML), 2025.
  

• Zeen Song, Siyu Zhao, Xingyu Zhang, Jiangmeng Li, Changwen Zheng, Wenwen Qiang*.
  Learning Invariant Causal Mechanism from Vision-Language Models.
  International Conference on Machine Learning (ICML), 2025.
  

• Jingyao Wang, Wenwen Qiang*, Xingzhe Su, Changwen Zheng, Fuchun Sun, Hui Xiong.
  Towards Task Sampler Learning for Meta-Learning.
  International Journal of Computer Vision (IJCV), 2024.
  

• Jiangmeng Li, Zehua Zang, Qirui Ji, Chuxiong Sun, Wenwen Qiang*, Junge Zhang, Changwen Zheng, Fuchun Sun, Hui Xiong.
  Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective.
  International Journal of Computer Vision (IJCV), 2024.
  

• Wenwen Qiang, Zeen Song, Ziyin Gu, Jiangmeng Li, Changwen Zheng, Fuchun Sun, Hui Xiong.
  On the Generalization and Causal Explanation in Self-Supervised Learning.
  International Journal of Computer Vision (IJCV), 2024.
  

• Yanan Zhang, Jiangmeng Li, Lixiang Liu, Wenwen Qiang*.
  Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective.
  Neural Information Processing Systems (NeurIPS), 2024.
  

• Xingzhe Su, Changwen Zheng, Wenwen Qiang*, Fengge Wu, Junsuo Zhao, Fuchun Sun, Hui Xiong.
  Manifold Constraint Regularization for Remote Sensing Image Generation.
  IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2024.
  

• Xingyu Zhang, Siyu Zhao, Zeen Song, Huijie Guo, Jianqi Zhang, Changwen Zheng, Wenwen Qiang*.
  Not All Frequencies Are Created Equal: Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting.
  ACM International Conference on Multimedia (ACM MM), 2024.
  

• Xingzhe Su, Wenwen Qiang*, Jie Hu, Changwen Zheng, Fengge Wu, Fuchun Sun.
  Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation.
  International Journal of Computer Vision (IJCV), 2024.
  

• Jingyao Wang, Yi Ren, Zeen Song, Jianqi Zhang, Changwen Zheng, Wenwen Qiang*.
  Hacking Task Confounder in Meta-Learning.
  International Joint Conference on Artificial Intelligence (IJCAI), 2024.
  

• 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.
  International Conference on Learning Representations (ICLR), 2024.
  

• Huijie Guo, Ying Ba, Jie Hu, Lingyu Si, Wenwen Qiang*, Lei Shi.
  Self-Supervised Representation Learning with Meta Comprehensive Regularization.
  AAAI Conference on Artificial Intelligence (AAAI), 2023.
  

• Jiangmeng Li, Yifan Jin, Hang Gao, Wenwen Qiang*, Changwen Zheng, Fuchun Sun.
  Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning.
  AAAI Conference on Artificial Intelligence (AAAI), 2023.
  

• Hongwei Dong, Lingyu Si, Wenwen Qiang*, Lamei Zhang, Junzhi Yu, Yuquan Wu, Changwen Zheng, Fuchun Sun.
  A Novel Causal Inference-Guided Feature Enhancement Framework for Polsar Image Classification.
  IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2023.
  

• Lingyu Si, Hongwei Dong, Wenwen Qiang*, Zeen Song, Bo Du, Junzhi Yu, Fuchun Sun.
  A Trusted Generative-Discriminative Joint Feature Learning Framework for Remote Sensing Image Classification.
  IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2023.
  

• Wenwen Qiang, Jiangmeng Li, Bing Su, Jianlong Fu, Hui Xiong, Ji-Rong Wen.
  Meta Attention-Generation Network for Cross-Granularity Few-Shot Learning.
  International Journal of Computer Vision (IJCV), 2022.
  

• 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 Conference on Artificial Intelligence (AAAI), 2022.
  

• 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 Transactions on Knowledge and Data Engineering (IEEE TKDE), 2022.
  

• Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong.
  Interventional Contrastive Learning with Meta Semantic Regularizer.
  International Conference on Machine Learning (ICML), 2022.
  

• Jiangmeng Li†, Wenwen Qiang†, Changwen Zheng, Bing Su, Hui Xiong.
  MetAug: Contrastive Learning via Meta Feature Augmentation.
  International Conference on Machine Learning (ICML), 2022.
  

• Hang Gao, Jiangmeng Li, Wenwen Qiang*, Lingyu Si, Changwen Zheng, Fuchun Sun.
  Bootstrapping Informative Graph Augmentation via A Meta Learning Approach.
  International Joint Conference on Artificial Intelligence (IJCAI), 2022.
  

• Jiangmeng Li†, Wenwen Qiang†, Yanan Zhang, Wenyi Mo, Changwen Zheng, Bing Su, Hui Xiong.
  MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning.
  Neural Information Processing Systems (NeurIPS), 2022.
  

• Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong.
  Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation.
  IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021.