Zanlin Ni - RankMe

27 papers A* 7Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AdaGen: Learning Adaptive Policy for Image Synthesis. CoRR Zanlin Ni, Yulin Wang, YeGuo Hua, Renping Zhou, Jiayi Guo, Jun Song, Bo Zheng, Gao Huang
2026	J	`jnl`	AdaGen: Learning Adaptive Policy for Image Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. Zanlin Ni, Yulin Wang, YeGuo Hua, Renping Zhou, Jiayi Guo, Jun Song, Bo Zheng, Gao Huang
2026	J	`jnl`	The Flexibility Trap: Why Arbitrary Order Limits Reasoning Potential in Diffusion Language Models. CoRR Zanlin Ni, Shenzhi Wang, Yang Yue, Tianyu Yu, Weilin Zhao, YeGuo Hua, Tianyi Chen, Jun Song, Cheng Yu, Bo Zheng, Gao Huang
2025	J	`jnl`	CODA: Repurposing Continuous VAEs for Discrete Tokenization. CoRR Zeyu Liu, Zanlin Ni, YeGuo Hua, Xin Deng, Xiao Ma, Cheng Zhong, Gao Huang
2025	J	`jnl`	Co-GRPO: Co-Optimized Group Relative Policy Optimization for Masked Diffusion Model. CoRR Renping Zhou, Zanlin Ni, Tianyi Chen, Zeyu Liu, Yang Yue, Yulin Wang, Yuxuan Wang, Jingshu Liu, Gao Huang
2025	J	`jnl`	Cross-modal adapter for vision-language retrieval. Pattern Recognit. Haojun Jiang, Jianke Zhang, Rui Huang, Chunjiang Ge, Zanlin Ni, Shiji Song, Gao Huang
2025	J	`jnl`	Emulating Human-like Adaptive Vision for Efficient and Flexible Machine Visual Perception. CoRR Yulin Wang, Yang Yue, Huanqian Wang, Haojun Jiang, Yizeng Han, Zanlin Ni, Yifan Pu, Minglei Shi, Rui Lu, Qisen Yang, Andrew Zhao, Zhuofan Xia, Shiji Song, Gao Huang
2025	A*	`conf`	Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment. CVPR Jiayi Guo, Junhao Zhao, Chaoqun Du, Yulin Wang, Chunjiang Ge, Zanlin Ni, Shiji Song, Humphrey Shi, Gao Huang
2025	J	`jnl`	InfoPro: Locally Supervised Deep Learning by Maximizing Information Propagation. Int. J. Comput. Vis. Yulin Wang, Zanlin Ni, Yifan Pu, Cai Zhou, Jixuan Ying, Shiji Song, Gao Huang
2024	—	`conf`	AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation. ECCV (16) Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang
2024	J	`jnl`	AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation. CoRR Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang
2024	A*	`conf`	ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis. NeurIPS Zanlin Ni, Yulin Wang, Renping Zhou, Yizeng Han, Jiayi Guo, Zhiyuan Liu, Yuan Yao, Gao Huang
2024	J	`jnl`	ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis. CoRR Zanlin Ni, Yulin Wang, Renping Zhou, Yizeng Han, Jiayi Guo, Zhiyuan Liu, Yuan Yao, Gao Huang
2024	J	`jnl`	Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment. CoRR Jiayi Guo, Junhao Zhao, Chunjiang Ge, Chaoqun Du, Zanlin Ni, Shiji Song, Humphrey Shi, Gao Huang
2024	—	`conf`	LLaVA-UHD: An LMM Perceiving Any Aspect Ratio and High-Resolution Images. ECCV (83) Zonghao Guo, Ruyi Xu, Yuan Yao, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Gao Huang
2024	J	`jnl`	LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images. CoRR Ruyi Xu, Yuan Yao, Zonghao Guo, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Maosong Sun, Gao Huang
2024	A*	`conf`	Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis. CVPR Zanlin Ni, Yulin Wang, Renping Zhou, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Shiji Song, Yuan Yao, Gao Huang
2024	J	`jnl`	Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis. CoRR Zanlin Ni, Yulin Wang, Renping Zhou, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Shiji Song, Yuan Yao, Gao Huang
2024	A*	`conf`	Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models. CVPR Jiayi Guo, Xingqian Xu, Yifan Pu, Zanlin Ni, Chaofei Wang, Manushree Vasu, Shiji Song, Gao Huang, Humphrey Shi
2023	A*	`conf`	Deep Incubation: Training Large Models by Divide-and-Conquering. ICCV Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang
2023	J	`jnl`	Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models. CoRR Jiayi Guo, Xingqian Xu, Yifan Pu, Zanlin Ni, Chaofei Wang, Manushree Vasu, Shiji Song, Gao Huang, Humphrey Shi
2022	J	`jnl`	Cross-Modal Adapter for Text-Video Retrieval. CoRR Haojun Jiang, Jianke Zhang, Rui Huang, Chunjiang Ge, Zanlin Ni, Jiwen Lu, Jie Zhou, Shiji Song, Gao Huang
2022	J	`jnl`	Deep Model Assembling. CoRR Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang
2021	A*	`conf`	Revisiting Locally Supervised Learning: an Alternative to End-to-end Training. ICLR Yulin Wang, Zanlin Ni, Shiji Song, Le Yang, Gao Huang
2021	J	`jnl`	Revisiting Locally Supervised Learning: an Alternative to End-to-end Training. CoRR Yulin Wang, Zanlin Ni, Shiji Song, Le Yang, Gao Huang
2020	A*	`conf`	Uncertainty-Aware Score Distribution Learning for Action Quality Assessment. CVPR Yansong Tang, Zanlin Ni, Jiahuan Zhou, Danyang Zhang, Jiwen Lu, Ying Wu, Jie Zhou
2020	J	`jnl`	Uncertainty-aware Score Distribution Learning for Action Quality Assessment. CoRR Yansong Tang, Zanlin Ni, Jiahuan Zhou, Danyang Zhang, Jiwen Lu, Ying Wu, Jie Zhou

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.