A Unified GAN Framework Regarding Manifold Alignment for Remote Sensing Images Generation. - Xingzhe Su; Wenwen Qiang; Zeen Song; Hang Gao 004; Fengge Wu; Changwen Zheng (CoRR, 2023)

Manifold-Guided Sampling in Diffusion Models for Unbiased Image Generation. - Xingzhe Su; Wenwen Qiang; Zeen Song; Hang Gao 004; Fengge Wu; Changwen Zheng (CoRR, 2023)

Towards the Sparseness of Projection Head in Self-Supervised Learning. - Zeen Song; Xingzhe Su; Jingyao Wang; Wenwen Qiang; Changwen Zheng; Fuchun Sun 001 (CoRR, 2023)

Learning to Sample Tasks for Meta Learning. - Jingyao Wang; Zeen Song; Xingzhe Su; Lingyu Si; Hongwei Dong; Wenwen Qiang; Changwen Zheng (CoRR, 2023)

Unleash Model Potential: Bootstrapped Meta Self-supervised Learning. - Jingyao Wang; Zeen Song; Wenwen Qiang; Changwen Zheng (CoRR, 2023)

Hacking Task Confounder in Meta-Learning. - Jingyao Wang; Wenwen Qiang; Yi Ren; Zeen Song; Xingzhe Su; Changwen Zheng (CoRR, 2023)

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

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

Explicitly Modeling Universality into Self-Supervised Learning. - Jingyao Wang; Wenwen Qiang; Zeen Song; Lingyu Si; Jiangmeng Li; Changwen Zheng; Bing Su 001 (CoRR, 2024)

Learning Invariant Causal Mechanism from Vision-Language Models. - Zeen Song; Siyu Zhao; Xingyu Zhang; Jiangmeng Li; Changwen Zheng; Wenwen Qiang (CoRR, 2024)

Not All Frequencies Are Created Equal:Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting. - Xingyu Zhang; Siyu Zhao; Zeen Song; Huijie Guo; Jianqi Zhang; Changwen Zheng; Wenwen Qiang (CoRR, 2024)

Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective. - Zeen Song; Jingyao Wang; Jianqi Zhang; Changwen Zheng; Wenwen Qiang (CoRR, 2024)

A Trusted Generative-Discriminative Joint Feature Learning Framework for Remote Sensing Image Classification. - Lingyu Si; Hongwei Dong; Wenwen Qiang; Zeen Song; Bo Du 001; Junzhi Yu; Fuchun Sun 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

On the discriminability of self-supervised representation learning. - Zeen Song; Wenwen Qiang; Changwen Zheng; Fuchun Sun 001; Hui Xiong 001 (Inf. Sci., 2025)

On the Generalization and Causal Explanation in Self-Supervised Learning. - Wenwen Qiang; Zeen Song; Ziyin Gu; Jiangmeng Li; Changwen Zheng; Fuchun Sun 001; Hui Xiong 001 (Int. J. Comput. Vis., 2025)

Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs. - Jingyao Wang; Wenwen Qiang; Zeen Song; Changwen Zheng; Hui Xiong 001 (CoRR, 2025)

On the Out-of-Distribution Generalization of Self-Supervised Learning. - Wenwen Qiang; Jingyao Wang; Zeen Song; Jiangmeng Li; Changwen Zheng (CoRR, 2025)

Reward Model Generalization for Compute-Aware Test-Time Reasoning. - Zeen Song; Wenwen Qiang; Siyu Zhao; Changwen Zheng; Gang Hua 001 (CoRR, 2025)

Causal Reward Adjustment: Mitigating Reward Hacking in External Reasoning via Backdoor Correction. - Ruike Song; Zeen Song; Huijie Guo; Wenwen Qiang (CoRR, 2025)

Group Causal Policy Optimization for Post-Training Large Language Models. - Ziyin Gu; Jingyao Wang; Ran Zuo; Chuxiong Sun; Zeen Song; Changwen Zheng; Wenwen Qiang (CoRR, 2025)