Fangyikang Wang

21 papers A* 5Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Analyzing and Improving Diffusion Models for Time-Series Data Imputation: A Proximal Recursion Perspective. CoRR Zhichao Chen, Hao Wang, Fangyikang Wang, Licheng Pan, Zhengnan Li, Yunfei Teng, Haoxuan Li, Zhouchen Lin
2026	J	`jnl`	Blending Data and Knowledge for Process Industrial Modeling Under Riemannian Preconditioned Bayesian Framework. IEEE Trans. Knowl. Data Eng. Zhichao Chen, Yulong Zhang, Odin Zhang, Fangyikang Wang, Le Yao, Hao Wang, Zhihuan Song
2026	J	`jnl`	Rethinking the Flow-Based Gradual Domain Adaption: A Semi-Dual Optimal Transport Perspective. CoRR Zhichao Chen, Zhan Zhuang, Yunfei Teng, Hao Wang, Fangyikang Wang, Zhengnan Li, Tianqiao Liu, Haoxuan Li, Zhouchen Lin
2026	J	`jnl`	UniWeTok: An Unified Binary Tokenizer with Codebook Size 2 CoRR 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
2025	A*	`conf`	Efficiently Access Diffusion Fisher: Within the Outer Product Span Space. ICML Fangyikang Wang, Hubery Yin, Shaobin Zhuang, Huminhao Zhu, Yinan Li, Lei Qian, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li
2025	J	`jnl`	Efficiently Access Diffusion Fisher: Within the Outer Product Span Space. CoRR Fangyikang Wang, Hubery Yin, Shaobin Zhuang, Huminhao Zhu, Yinan Li, Lei Qian, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li
2025	J	`jnl`	Get In Video: Add Anything You Want to the Video. CoRR Shaobin Zhuang, Zhipeng Huang, Binxin Yang, Ying Zhang, Fangyikang Wang, Canmiao Fu, Chong Sun, Zheng-Jun Zha, Chen Li, Yali Wang
2025	A*	`conf`	TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision. ICML Shaobin Zhuang, Yiwei Guo, Yanbo Ding, Kunchang Li, Xinyuan Chen, Yaohui Wang, Fangyikang Wang, Ying Zhang, Chen Li, Yali Wang
2025	J	`jnl`	TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision. CoRR Shaobin Zhuang, Yiwei Guo, Yanbo Ding, Kunchang Li, Xinyuan Chen, Yaohui Wang, Fangyikang Wang, Ying Zhang, Chen Li, Yali Wang
2025	J	`jnl`	Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin. CoRR Fangyikang Wang, Hubery Yin, Lei Qian, Yinan Li, Shaobin Zhuang, Huminhao Zhu, Yilin Zhang, Yanlong Tang, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li
2025	J	`jnl`	Video-GPT via Next Clip Diffusion. CoRR Shaobin Zhuang, Zhipeng Huang, Ying Zhang, Fangyikang Wang, Canmiao Fu, Binxin Yang, Chong Sun, Chen Li, Yali Wang
2025	J	`jnl`	WeTok: Powerful Discrete Tokenization for High-Fidelity Visual Reconstruction. CoRR Shaobin Zhuang, Yiwei Guo, Canmiao Fu, Zhipeng Huang, Zeyue Tian, Fangyikang Wang, Ying Zhang, Chen Li, Yali Wang
2024	J	`jnl`	Analyzing and Improving Model Collapse in Rectified Flow Models. CoRR Huminhao Zhu, Fangyikang Wang, Tianyu Ding, Qing Qu, Zhihui Zhu
2024	A*	`conf`	BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models. NeurIPS Fangyikang Wang, Hubery Yin, Yuejiang Dong, Huminhao Zhu, Zhang Chao, Hanbin Zhao, Hui Qian, Chen Li
2024	J	`jnl`	BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models. CoRR Fangyikang Wang, Hubery Yin, Yuejiang Dong, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li
2024	A*	`conf`	GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework. AAAI Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian
2024	J	`jnl`	GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework. Entropy Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian
2024	J	`jnl`	Neural Sinkhorn Gradient Flow. CoRR Huminhao Zhu, Fangyikang Wang, Chao Zhang, Hanbin Zhao, Hui Qian
2024	A*	`conf`	Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective. NeurIPS Zhichao Chen, Haoxuan Li, Fangyikang Wang, Odin Zhang, Hu Xu, Xiaoyu Jiang, Zhihuan Song, Hao Wang
2024	J	`jnl`	Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow. CoRR Zhichao Chen, Haoxuan Li, Fangyikang Wang, Odin Zhang, Hu Xu, Xiaoyu Jiang, Zhihuan Song, Eric H. Wang
2023	J	`jnl`	GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework. CoRR Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.