Fangyikang Wang

According to our database, Fangyikang Wang authored at least 17 papers between 2024 and 2026.

Collaborative distances:

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

2026

UniWeTok: An Unified Binary Tokenizer with Codebook Size 2¹²⁸ for Unified Multimodal Large Language Model.

Shaobin Zhuang, Yuang Ai, Jiaming Han, Weijia Mao, Xiaohui Li, Fangyikang Wang, Xiao Wang, Yan Li, Shanchuan Lin, Kun Xu, Zhenheng Yang, Huaibo Huang, Xiangyu Yue, Hao Chen, Yali Wang

CoRR, February, 2026

Analyzing and Improving Diffusion Models for Time-Series Data Imputation: A Proximal Recursion Perspective.

Zhichao Chen, Hao Wang, Fangyikang Wang, Licheng Pan, Zhengnan Li, Yunfei Teng, Haoxuan Li, Zhouchen Lin

CoRR, February, 2026

Rethinking the Flow-Based Gradual Domain Adaption: A Semi-Dual Optimal Transport Perspective.

Zhichao Chen, Zhan Zhuang, Yunfei Teng, Hao Wang, Fangyikang Wang, Zhengnan Li, Tianqiao Liu, Haoxuan Li, Zhouchen Lin

CoRR, February, 2026

Blending Data and Knowledge for Process Industrial Modeling Under Riemannian Preconditioned Bayesian Framework.

Zhichao Chen, Yulong Zhang, Odin Zhang, Fangyikang Wang, Le Yao, Hao Wang, Zhihuan Song

IEEE Trans. Knowl. Data Eng., January, 2026

2025

WeTok: Powerful Discrete Tokenization for High-Fidelity Visual Reconstruction.

Shaobin Zhuang, Yiwei Guo, Canmiao Fu, Zhipeng Huang, Zeyue Tian, Fangyikang Wang, Ying Zhang, Chen Li, Yali Wang

CoRR, August, 2025

Video-GPT via Next Clip Diffusion.

Shaobin Zhuang, Zhipeng Huang, Ying Zhang, Fangyikang Wang, Canmiao Fu, Binxin Yang, Chong Sun, Chen Li, Yali Wang

CoRR, May, 2025

Get In Video: Add Anything You Want to the Video.

Shaobin Zhuang, Zhipeng Huang, Binxin Yang, Ying Zhang, Fangyikang Wang, Canmiao Fu, Chong Sun, Zheng-Jun Zha, Chen Li, Yali Wang

CoRR, March, 2025

TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision.

Shaobin Zhuang, Yiwei Guo, Yanbo Ding, Kunchang Li, Xinyuan Chen, Yaohui Wang, Fangyikang Wang, Ying Zhang, Chen Li, Yali Wang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Efficiently Access Diffusion Fisher: Within the Outer Product Span Space.

Fangyikang Wang, Hubery Yin, Shaobin Zhuang, Huminhao Zhu, Yinan Li, Lei Qian, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin.

Fangyikang Wang, Hubery Yin, Lei Qian, Yinan Li, Shaobin Zhuang, Huminhao Zhu, Yilin Zhang, Yanlong Tang, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li

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

2024

Analyzing and Improving Model Collapse in Rectified Flow Models.

Huminhao Zhu, Fangyikang Wang, Tianyu Ding, Qing Qu, Zhihui Zhu

CoRR, 2024

BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models.

Fangyikang Wang, Hubery Yin, Yuejiang Dong, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li

CoRR, 2024

Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow.

Zhichao Chen, Haoxuan Li, Fangyikang Wang, Odin Zhang, Hu Xu, Xiaoyu Jiang, Zhihuan Song, Eric H. Wang

CoRR, 2024

Neural Sinkhorn Gradient Flow.

Huminhao Zhu, Fangyikang Wang, Chao Zhang, Hanbin Zhao, Hui Qian

CoRR, 2024

BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models.

Fangyikang Wang, Hubery Yin, Yuejiang Dong, Huminhao Zhu, Zhang Chao, Hanbin Zhao, Hui Qian, Chen Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective.

Zhichao Chen, Haoxuan Li, Fangyikang Wang, Odin Zhang, Hu Xu, Xiaoyu Jiang, Zhihuan Song, Hao Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework.

Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024