Publications

A collection of my research work.

Group causal policy optimization for post-training large language models

Group causal policy optimization for post-training large language models

Ziyin Gu, Jingyao Wang, Ran Zuo, Chuxiong Sun, Zeen Song, Changwen Zheng, Wenwen Qiang†

AAAI 2026

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Exploring Transferability of Self-Supervised Learning by Task Conflict Calibration

Exploring Transferability of Self-Supervised Learning by Task Conflict Calibration

Huijie Guo, Jingyao Wang, Peizheng Guo, Xingchen Shen, Changwen Zheng, Wenwen Qiang†

AAAI 2026

Code
Enhancing Large Language Models for Time-Series Forecasting via Vector-Injected In-Context Learning

Enhancing Large Language Models for Time-Series Forecasting via Vector-Injected In-Context Learning

Jianqi Zhang, Jingyao Wang, Wenwen Qiang†, Fanjiang Xu, Changwen Zheng

WWW 2026

Code
COPO: Causal-Oriented Policy Optimization for Hallucinations of MLLMs

COPO: Causal-Oriented Policy Optimization for Hallucinations of MLLMs

Peizheng Guo, Jingyao Wang, Wenwen Qiang†, Jiahuan Zhou, Changwen Zheng, Gang Hua

CVPR 2026

Code
Towards the causal complete cause of multi-modal representation learning

Towards the causal complete cause of multi-modal representation learning

Jingyao Wang, Siyu Zhao, Wenwen Qiang†, Jiangmeng Li, Changwen Zheng, Fuchun Sun, Hui Xiong

ICML 2025

DOICode
On the Out-of-Distribution Generalization of Self-Supervised Learning

On the Out-of-Distribution Generalization of Self-Supervised Learning

Wenwen Qiang†, Jingyao Wang, Zeen Song, Jiangmeng Li, Changwen Zheng

ICML 2025

DOICode
Advancing complex wide-area scene understanding with hierarchical coresets selection

Advancing complex wide-area scene understanding with hierarchical coresets selection

Jingyao Wang, Yiming Chen, Lingyu Si†, Changwen Zheng

ACM MM 2025

DOICode
Learning to think: Information-theoretic reinforcement fine-tuning for llms

Learning to think: Information-theoretic reinforcement fine-tuning for llms

Jingyao Wang, Wenwen Qiang†, Zeen Song, Changwen Zheng, Hui Xiong

NeurIPS 2025

Code
Meta-auxiliary learning for micro-expression recognition

Meta-auxiliary learning for micro-expression recognition

Yufei Li, Yuxuan Yang, Jingyao Wang†, Wenwen Qiang

Applied Soft Computing 2025

DOI
Towards task sampler learning for meta-learning

Towards task sampler learning for meta-learning

Jingyao Wang, Wenwen Qiang†, Xingzhe Su, Changwen Zheng, Fuchun Sun, Hui Xiong

International Journal of Computer Vision 2024

DOICode
Image-based freeform handwriting authentication with energy-oriented self-supervised learning

Image-based freeform handwriting authentication with energy-oriented self-supervised learning

Jingyao Wang, Luntian Mou†, Changwen Zheng, Wen Gao

IEEE Transactions on Multimedia 2024

DOI
AMSA: Adaptive multimodal learning for sentiment analysis

AMSA: Adaptive multimodal learning for sentiment analysis

Jingyao Wang, Luntian Mou†, Lei Ma, Tiejun Huang, Wen Gao

ACM Transactions on Multimedia Computing, Communications and Applications 2023

DOICode
Hacking task confounder in meta-learning

Hacking task confounder in meta-learning

Jingyao Wang, Yi Ren, Zeen Song, Jianqi Zhang, Changwen Zheng, Wenwen Qiang†

IJCAI 2023

Code