| 2026 | AAAI | Exploring Transferability of Self-Supervised Learning by Task Conflict Calibration. | Huijie Guo, Jingyao Wang, Peizheng Guo, Xingchen Shen, Changwen Zheng, Wenwen Qiang |
| 2026 | AAAI | Group Causal Policy Optimization for Post-Training Large Language Models. | Ziyin Gu, Jingyao Wang, Ran Zuo, Chuxiong Sun, Zeen Song, Changwen Zheng, Wenwen Qiang |
| 2026 | AAAI | Causal Reward Adjustment: Mitigating Reward Hacking in External Reasoning via Backdoor Correction. | Ruike Song, Zeen Song, Huijie Guo, Wenwen Qiang |
| 2026 | AAAI | TMAE: Learning Targeted Multi-Agent Exploration via Causal Inference. | Chuxiong Sun, Dunqi Yao, Rui Wang, Wenwen Qiang, Changwen Zheng, Jiangmeng Li |
| 2026 | WWW | Enhancing Large Language Models for Time-Series Forecasting via Vector-Injected In-Context Learning. | Jianqi Zhang, Jingyao Wang, Wenwen Qiang, Fanjiang Xu, Changwen Zheng |
| 2025 | ICML | On the Out-of-Distribution Generalization of Self-Supervised Learning. | Wenwen Qiang, Jingyao Wang, Zeen Song, Jiangmeng Li, Changwen Zheng |
| 2025 | ICML | Learning Invariant Causal Mechanism from Vision-Language Models. | Zeen Song, Siyu Zhao, Xingyu Zhang, Jiangmeng Li, Changwen Zheng, Wenwen Qiang |
| 2025 | ICML | Towards the Causal Complete Cause of Multi-Modal Representation Learning. | Jingyao Wang, Siyu Zhao, Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Fuchun Sun, Hui Xiong |
| 2024 | AAAI | Self-Supervised Representation Learning with Meta Comprehensive Regularization. | Huijie Guo, Ying Ba, Jie Hu, Lingyu Si, Wenwen Qiang, Lei Shi |
| 2024 | AAAI | Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning. | Jiangmeng Li, Yifan Jin, Hang Gao, Wenwen Qiang, Changwen Zheng, Fuchun Sun |
| 2024 | ICDCS | Demo:SCDRL: Scalable and Customized Distributed Reinforcement Learning System. | Chuxiong Sun, Wenwen Qiang, Jiangmeng Li |
| 2024 | ICLR | 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 |
| 2024 | IJCAI | Hacking Task Confounder in Meta-Learning. | Jingyao Wang, Yi Ren, Zeen Song, Jianqi Zhang, Changwen Zheng, Wenwen Qiang |
| 2024 | IJCNN | Is Encoded Popularity Always Harmful? Explicit Debiasing with Augmentation for Contrastive Collaborative Filtering. | Guanming Chen, Wenwen Qiang, Yuanxin Ouyang, Chuantao Yin, Zhang Xiong |
| 2023 | AAAI | Robust Causal Graph Representation Learning against Confounding Effects. | Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Bing Xu, Changwen Zheng, Fuchun Sun |
| 2023 | AAAI | 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 |
| 2023 | ICLR | Rethinking skip connection model as a learnable Markov chain. | Dengsheng Chen, Jie Hu, Wenwen Qiang, Xiaoming Wei, Enhua Wu |
| 2022 | ICML | MetAug: Contrastive Learning via Meta Feature Augmentation. | Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong |
| 2022 | ICML | Interventional Contrastive Learning with Meta Semantic Regularizer. | Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong |
| 2022 | IJCAI | Bootstrapping Informative Graph Augmentation via A Meta Learning Approach. | Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Fuchun Sun, Changwen Zheng |