Yanzuo Lu - RankMe

16 papers A* 4Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Relax Forcing: Relaxed KV-Memory for Consistent Long Video Generation. CoRR Zengqun Zhao, Yanzuo Lu, Ziquan Liu, Jifei Song, Jiankang Deng, Ioannis Patras
2025	J	`jnl`	Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis. CoRR Yanzuo Lu, Yuxi Ren, Xin Xia, Shanchuan Lin, Xing Wang, Xuefeng Xiao, Andy J. Ma, Xiaohua Xie, Jian-Huang Lai
2025	—	`conf`	FIE: Filtering, Inference and Enhancement for Multi-modal Object Re-identification. PRCV (16) Qingcheng Yang, Yanzuo Lu, Andy Jinhua Ma
2025	J	`jnl`	Hyper-Bagel: A Unified Acceleration Framework for Multimodal Understanding and Generation. CoRR Yanzuo Lu, Xin Xia, Manlin Zhang, Huafeng Kuang, Jianbin Zheng, Yuxi Ren, Xuefeng Xiao
2025	J	`jnl`	Seedream 4.0: Toward Next-generation Multimodal Image Generation. CoRR Yunpeng Chen, Yu Gao, Lixue Gong, Meng Guo, Qiushan Guo, Zhiyao Guo, Xiaoxia Hou, Weilin Huang, Yixuan Huang, Xiaowen Jian, Huafeng Kuang, Zhichao Lai, Fanshi Li, Liang Li, Xiaochen Lian, Chao Liao, Liyang Liu, Wei Liu, Yanzuo Lu, Zhengxiong Luo, Tongtong Ou, Guang Shi, Yichun Shi, Shiqi Sun, Yu Tian, Zhi Tian, Peng Wang, Rui Wang, Xun Wang, Ye Wang, Guofeng Wu, Jie Wu, Wenxu Wu, Yonghui Wu, Xin Xia, Xuefeng Xiao, Shuang Xu, Xin Yan, Ceyuan Yang, Jianchao Yang, Zhonghua Zhai, Chenlin Zhang, Heng Zhang, Qi Zhang, Xinyu Zhang, Yuwei Zhang, Shijia Zhao, Wenliang Zhao, Wenjia Zhu
2025	J	`jnl`	Vision-Language Adaptive Clustering and Meta-Adaptation for Unsupervised Few-Shot Action Recognition. IEEE Trans. Circuits Syst. Video Technol. Jiaxin Chen, Jiawen Peng, Yanzuo Lu, Jian-Huang Lai, Andy J. Ma
2024	—	`conf`	ByteEdit: Boost, Comply and Accelerate Generative Image Editing. ECCV (3) Yuxi Ren, Jie Wu, Yanzuo Lu, Huafeng Kuang, Xin Xia, Xionghui Wang, Qianqian Wang, Yixing Zhu, Pan Xie, Shiyin Wang, Xuefeng Xiao, Yitong Wang, Min Zheng, Lean Fu
2024	J	`jnl`	ByteEdit: Boost, Comply and Accelerate Generative Image Editing. CoRR Yuxi Ren, Jie Wu, Yanzuo Lu, Huafeng Kuang, Xin Xia, Xionghui Wang, Qianqian Wang, Yixing Zhu, Pan Xie, Shiyin Wang, Xuefeng Xiao, Yitong Wang, Min Zheng, Lean Fu
2024	A*	`conf`	Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis. CVPR Yanzuo Lu, Manlin Zhang, Andy J. Ma, Xiaohua Xie, Jianhuang Lai
2024	J	`jnl`	Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis. CoRR Yanzuo Lu, Manlin Zhang, Andy J. Ma, Xiaohua Xie, Jian-Huang Lai
2024	A*	`conf`	Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis. NeurIPS Yuxi Ren, Xin Xia, Yanzuo Lu, Jiacheng Zhang, Jie Wu, Pan Xie, Xing Wang, Xuefeng Xiao
2024	J	`jnl`	Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis. CoRR Yuxi Ren, Xin Xia, Yanzuo Lu, Jiacheng Zhang, Jie Wu, Pan Xie, Xing Wang, Xuefeng Xiao
2024	A*	`conf`	MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation. AAAI Yanzuo Lu, Meng Shen, Andy J. Ma, Xiaohua Xie, Jian-Huang Lai
2023	A*	`conf`	Collaborative Learning of Diverse Experts for Source-free Universal Domain Adaptation. ACM Multimedia Meng Shen, Yanzuo Lu, Yanxu Hu, Andy J. Ma
2023	J	`jnl`	MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation. CoRR Yanzuo Lu, Meng Shen, Andy J. Ma, Xiaohua Xie, Jian-Huang Lai
2022	—	`conf`	Improving Pre-trained Masked Autoencoder via Locality Enhancement for Person Re-identification. PRCV (2) Yanzuo Lu, Manlin Zhang, Yiqi Lin, Andy J. Ma, Xiaohua Xie, Jianhuang Lai

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.