Yizhou Wang

According to our database, Yizhou Wang authored at least 29 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Hierarchical Visual Agent: Managing Contexts in Joint Image-Text Space for Advanced Chart Reasoning.

Qihua Dong, Ruozhen He, Junwen Chen, Yizhou Wang, Xu Ma, Songyao Jiang, Yun Fu

CoRR, May, 2026

Distorted or Fabricated? A Survey on Hallucination in Video LLMs.

Yiyang Huang, Yitian Zhang, Yizhou Wang, Mingyuan Zhang, Liang Shi, Huimin Zeng, Yun Fu

CoRR, April, 2026

Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression Tasks.

Qihua Dong, Kuo Yang, Lin Ju, Handong Zhao, Yitian Zhang, Yizhou Wang, Huimin Zeng, Jianglin Lu, Yun Fu

CoRR, February, 2026

MTPano: Multi-Task Panoramic Scene Understanding via Label-Free Integration of Dense Prediction Priors.

Jingdong Zhang, Xiaohang Zhan, Lingzhi Zhang, Yizhou Wang, Zhengming Yu, Jionghao Wang, Wenping Wang, Xin Li

CoRR, February, 2026

From Words to Pixels: A Comprehensive Survey on Large Language Models in Visual Segmentation.

Yizhou Wang, Mang Tik Chiu, Lingzhi Zhang, Xuan Shen, Sohrab Amirghodsi, Yun Fu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Revealing the Seen, Imagining the Beyond: A Survey of Image-Grounded Chain-of-Thought Reasoning in Multimodal LLMs.

Qihua Dong, Yitian Zhang, Huimin Zeng, Yizhou Wang, Jianglin Lu, Kuo Yang, Yun Fu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Trajectory Prediction Meets Large Language Models: A Survey.

Yi Xu, Ruining Yang, Yitian Zhang, Yizhou Wang, Jianglin Lu, Mingyuan Zhang, Lili Su, Yun Fu

CoRR, June, 2025

Boosting Large Language Models with Mask Fine-Tuning.

Mingyuan Zhang, Yue Bai, Huan Wang, Yizhou Wang, Qihua Dong, Yun Fu

CoRR, March, 2025

Towards Zero-shot 3D Anomaly Localization.

Yizhou Wang, Kuan-Chuan Peng, Yun Fu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models.

Zhanwen Chen, Tianchun Wang, Yizhou Wang, Michal Kosinski, Xiang Zhang, Yun Fu, Sheng Li

Proceedings of the International Joint Conference on Neural Networks, 2025

Representation Potentials of Foundation Models for Multimodal Alignment: A Survey.

Jianglin Lu, Hailing Wang, Yi Xu, Yizhou Wang, Kuo Yang, Yun Fu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

D-CoDe: Scaling Image-Pretrained VLMs to Video via Dynamic Compression and Question Decomposition.

Yiyang Huang, Yizhou Wang, Yun Fu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Cautious Next Token Prediction.

Yizhou Wang, Lingzhi Zhang, Yue Bai, Mang Tik Chiu, Zhengmian Hu, Mingyuan Zhang, Qihua Dong, Yu Yin, Sohrab Amirghodsi, Yun Fu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

SLA$^{{\text{2}}}$2P: Self-Supervised Anomaly Detection With Adversarial Perturbation.

Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu

IEEE Trans. Knowl. Data Eng., December, 2024

Don't Judge by the Look: Towards Motion Coherent Video Representation.

Yitian Zhang, Yue Bai, Huan Wang, Yizhou Wang, Yun Fu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Rewrite the Stars.

Xu Ma, Xiyang Dai, Yue Bai, Yizhou Wang, Yun Fu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee.

Yan Yang, Yizhou Wang, Jiazhen Wang, Jian Sun, Zongben Xu

SIAM J. Imaging Sci., September, 2023

VaQuitA: Enhancing Alignment in LLM-Assisted Video Understanding.

Yizhou Wang, Ruiyi Zhang, Haoliang Wang, Uttaran Bhattacharya, Yun Fu, Gang Wu

CoRR, 2023

Towards Explainable Visual Anomaly Detection.

Yizhou Wang, Dongliang Guo, Sheng Li, Yun Fu

CoRR, 2023

Concentric Ring Loss for Face Forgery Detection.

Yu Yin, Yue Bai, Yizhou Wang, Yun Fu

Proceedings of the IEEE International Conference on Data Mining, 2023

Momentum is All You Need for Data-Driven Adaptive Optimization.

Yizhou Wang, Yue Kang, Can Qin, Huan Wang, Yi Xu, Yulun Zhang, Yun Fu

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning.

Yi Xu, Lichen Wang, Yizhou Wang, Can Qin, Yulun Zhang, Yun Fu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Making Reconstruction-based Method Great Again for Video Anomaly Detection.

Yizhou Wang, Can Qin, Yue Bai, Yi Xu, Xu Ma, Yun Fu

Proceedings of the IEEE International Conference on Data Mining, 2022

Adaptive Trajectory Prediction via Transferable GNN.

Yi Xu, Lichen Wang, Yizhou Wang, Yun Fu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Robust Semi-supervised Domain Adaptation against Noisy Labels.

Can Qin, Yizhou Wang, Yun Fu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection.

Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

SLA²P: Self-supervised Anomaly Detection with Adversarial Perturbation.

Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu

CoRR, 2021

Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization.

Yizhou Wang, Yue Kang, Can Qin, Yi Xu, Huan Wang, Yulun Zhang, Yun Fu

CoRR, 2021

2020

On Computation and Generalization of Generative Adversarial Imitation Learning.

Minshuo Chen, Yizhou Wang, Tianyi Liu, Zhuoran Yang, Xingguo Li, Zhaoran Wang, Tuo Zhao

Proceedings of the 8th International Conference on Learning Representations, 2020