Selected Publications
Full list can be found on my Google Scholar. (* indicates equal contribution)
Conference Papers
D-CoDe: Scaling Image-Pretrained VLMs to Video via Dynamic Compression and Question Decomposition
Yiyang Huang, Yizhou Wang and Yun Fu
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025
[Paper] [Code]
Representation Potentials of Foundation Models for Multimodal Alignment: A Survey
Jianglin Lu, Hailing Wang, Yi Xu, Yizhou Wang, Kuo Yang and Yun Fu
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025
[Paper] [Code]
Cautious Next Token Prediction
Yizhou Wang, Lingzhi Zhang, Yue Bai, Mang Tik Chiu, Zhengmian Hu, Mingyuan Zhang, Qihua Dong, Yu Yin, Sohrab Amirghodsi and Yun Fu
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
[Paper] [Code]
Towards Zero-shot 3D Anomaly Localization (Oral, top 8%)
Yizhou Wang, Kuan-Chuan Peng and Yun Fu
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
[Paper] [Project] [Video]
Rewrite the stars
Xu Ma, Xiyang Dai, Yue Bai, Yizhou Wang and Yun Fu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[Paper] [Code]
Don’t Judge by the Look: A Motion Coherent Augmentation for Video Recognition
Yitian Zhang, Yue Bai, Huan Wang, Yizhou Wang and Yun Fu
International Conference on Learning Representations (ICLR), 2024
[Paper] [Code]
Momentum is All You Need for Data-Driven Adaptive Optimization
Yizhou Wang*, Yue Kang*, Can Qin, Huan Wang, Yi Xu, Yulun Zhang and Yun Fu
IEEE International Conference on Data Mining (ICDM), 2023
[Paper] [Code] [Video]
Making Reconstruction-based Method Great Again for Video Anomaly Detection
Yizhou Wang, Can Qin, Yue Bai, Yi Xu, Xu Ma and Yun Fu
IEEE International Conference on Data Mining (ICDM), 2022
[arXiv] [Code]
Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection
Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai and Yun Fu
ACM International Conference on Information and Knowledge Management (CIKM), 2022
[Paper] [Code]
On Computation and Generalization of Generative Adversarial Imitation Learning
Minshuo Chen, Yizhou Wang, Tianyi Liu, Zhuoran Yang, Xingguo Li, Zhaoran Wang and Tuo Zhao
International Conference on Learning Representations (ICLR), 2020
(Spotlight) NeurIPS 2019 Optimization Foundations for Reinforcement Learning Workshop
[arXiv]
Journal Papers
SLA²P: Self-supervised Anomaly Detection with Adversarial Perturbation
Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai and Yun Fu
IEEE Transactions on Knowledge and Data Engineering (TKDE)
[Paper] [Code]
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 and Zongben Xu
SIAM Journal on Imaging Sciences (SIIMS), 2023
[Paper]
Self-Directed Online Machine Learning for Topology Optimization
Changyu Deng, Yizhou Wang, Can Qin, Yun Fu and Wei Lu
Nature Communications (NC), 2022
[arXiv] [Paper] [Website] [Tech Xplore News] [Code]
Preprints
VaQuitA: Enhancing Alignment in LLM-Assisted Video Understanding
Yizhou Wang, Ruiyi Zhang, Haoliang Wang, Uttaran Bhattacharya, Yun Fu and Gang Wu
Under review
[arXiv]
Unveiling the Unseen: A Comprehensive Survey on Explainable Anomaly Detection in Images and Videos
Yizhou Wang*, Dongliang Guo*, Sheng Li, Octavia Campus, and Yun Fu
Major Revision at TPAMI
[arXiv] [Code]
Rethinking Adam: A Twofold Exponential Moving Average Approach
Yizhou Wang*, Yue Kang*, Can Qin, Huan Wang, Yi Xu, Yulun Zhang and Yun Fu
[arXiv] [Code]
Trajectory Prediction Meets Large Language Models: A Survey
Yi Xu, Ruining Yang, Yitian Zhang, Yizhou Wang, Jianglin Lu, Mingyuan Zhang, Lili Su, Yun Fu
Under review
[arXiv] [Code]
Boosting Large Language Models with Mask Fine-Tuning
Mingyuan Zhang*, Yue Bai*, Huan Wang, Yizhou Wang, Qihua Dong, Yun Fu
Under review
[arXiv] [Code]
Efficient Reasoning with Hidden Thinking
Xuan Shen, Yizhou Wang, Xiangxi Shi, Yanzhi Wang, Pu Zhao, Jiuxiang Gu
Under review
[arXiv] [Code]
Book Chapter
Human Activity Recognition and Anomaly Detection—4th International Workshop, DL-HAR 2024, and First International Workshop, ADFM 2024, Held in Conjunction with IJCAI 2024, Jeju, South Korea, August 3–9, 2024, Revised Selected Papers
Kuan-Chuan Peng, Yizhou Wang, Ziyue Li, Zhenghua Chen, Jianfei Yang, Sungho Suh, Min Wu
Part of the book series: Communications in Computer and Information Science (CCIS, volume 2201)
Included in IJCAI 2024 conference proceedings
[Book]