Yankai Jiang - RankMe

27 papers A* 6Journal 20Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	IBISAgent: Reinforcing Pixel-Level Visual Reasoning in MLLMs for Universal Biomedical Object Referring and Segmentation. CoRR Yankai Jiang, Qiaoru Li, Binlu Xu, Haoran Sun, Chao Ding, Junting Dong, Yuxiang Cai, Xuhong Zhang, Jianwei Yin
2025	J	`jnl`	A Data-Efficient Pan-Tumor Foundation Model for Oncology CT Interpretation. CoRR Wenhui Lei, Hanyu Chen, Zitian Zhang, Luyang Luo, Qiong Xiao, Yannian Gu, Peng Gao, Yankai Jiang, Ci Wang, Guangtao Wu, Tongjia Xu, Yingjie Zhang, Xiaofan Zhang, Pranav Rajpurkar, Shaoting Zhang, Zhenning Wang
2025	A*	`conf`	Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models. CVPR Yankai Jiang, Peng Zhang, Donglin Yang, Yuan Tian, Hai Lin, Xiaosong Wang
2025	J	`jnl`	Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models. CoRR Yankai Jiang, Peng Zhang, Donglin Yang, Yuan Tian, Hai Lin, Xiaosong Wang
2025	J	`jnl`	Enhancing Step-by-Step and Verifiable Medical Reasoning in MLLMs. CoRR Haoran Sun, Yankai Jiang, Wenjie Lou, Yujie Zhang, Wenjie Li, Lilong Wang, Mianxin Liu, Lei Liu, Xiaosong Wang
2025	—	`conf`	Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability. ACL (Findings) Mengliang He, Jiayi Zeng, Yankai Jiang, Wei Zhang, Zeming Liu, Xiaoming Shi, Aimin Zhou
2025	J	`jnl`	Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability. CoRR Mengliang He, Jiayi Zeng, Yankai Jiang, Wei Zhang, Zeming Liu, Xiaoming Shi, Aimin Zhou
2025	J	`jnl`	From Screens to Scenes: A Survey of Embodied AI in Healthcare. CoRR Yihao Liu, Xu Cao, Tingting Chen, Yankai Jiang, Junjie You, Minghua Wu, Xiaosong Wang, Mengling Feng, Yaochu Jin, Jintai Chen
2025	J	`jnl`	From screens to scenes: A survey of embodied AI in healthcare. Inf. Fusion Yihao Liu, Xu Cao, Wei-Ting Chen, Yankai Jiang, Junjie You, Minghua Wu, Xiaosong Wang, Mengling Feng, Yaochu Jin, Jintai Chen
2025	J	`jnl`	Incentivizing Tool-augmented Thinking with Images for Medical Image Analysis. CoRR Yankai Jiang, Yujie Zhang, Peng Zhang, Yichen Li, Jintai Chen, Xiaoming Shi, Shihui Zhen
2025	A*	`conf`	Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models. ICML Shizhan Gong, Yankai Jiang, Qi Dou, Farzan Farnia
2025	J	`jnl`	Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models. CoRR Shizhan Gong, Yankai Jiang, Qi Dou, Farzan Farnia
2025	J	`jnl`	Mediator-Guided Multi-Agent Collaboration among Open-Source Models for Medical Decision-Making. CoRR Kaitao Chen, Mianxin Liu, Daoming Zong, Chaoyue Ding, Shaohao Rui, Yankai Jiang, Mu Zhou, Xiaosong Wang
2025	J	`jnl`	ROFI: A Deep Learning-Based Ophthalmic Sign-Preserving and Reversible Patient Face Anonymizer. CoRR Yuan Tian, Min Zhou, Yitong Chen, Fang Li, Lingzi Qi, Shuo Wang, Xieyang Xu, Yu Yu, Shiqiong Xu, Chaoyu Lei, Yankai Jiang, Rongzhao Zhang, Jia Tan, Li Wu, Hong Chen, Xiaowei Liu, Wei Lu, Lin Li, Huifang Zhou, Xuefei Song, Guangtao Zhai, Xianqun Fan
2025	J	`jnl`	ROFI: a deep learning-based ophthalmic sign-preserving and reversible patient face anonymizer. npj Digit. Medicine Yuan Tian, Min Zhou, Yitong Chen, Fang Li, Lingzi Qi, Shuo Wang, Xieyang Xu, Yu Yu, Shiqiong Xu, Chaoyu Lei, Yankai Jiang, Rongzhao Zhang, Jia Tan, Li Wu, Hong Chen, Xiaowei Liu, Wei Lu, Lin Li, Huifang Zhou, Xuefei Song, Guangtao Zhai, Xianqun Fan
2025	J	`jnl`	RareAgent: Self-Evolving Reasoning for Drug Repurposing in Rare Diseases. CoRR Lang Qin, Zijian Gan, Xu Cao, Pengcheng Jiang, Yankai Jiang, Jiawei Han, Kaishun Wu, Jintai Chen
2025	J	`jnl`	Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification. CoRR Yuan Tian, Shuo Wang, Rongzhao Zhang, Zijian Chen, Yankai Jiang, Chunyi Li, Xiangyang Zhu, Fang Yan, Qiang Hu, Xiaosong Wang, Guangtao Zhai
2025	J	`jnl`	TK-Mamba: Marrying KAN with Mamba for Text-Driven 3D Medical Image Segmentation. CoRR Haoyu Yang, Yuxiang Cai, Jintao Chen, Xuhong Zhang, Wenhui Lei, Xiaoming Shi, Jianwei Yin, Yankai Jiang
2025	J	`jnl`	Think Twice to See More: Iterative Visual Reasoning in Medical VLMs. CoRR Kaitao Chen, Shaohao Rui, Yankai Jiang, Jiamin Wu, Qihao Zheng, Chunfeng Song, Xiaosong Wang, Mu Zhou, Mianxin Liu
2025	A*	`conf`	Towards All-in-One Medical Image Re-Identification. CVPR Yuan Tian, Kaiyuan Ji, Rongzhao Zhang, Yankai Jiang, Chunyi Li, Xiaosong Wang, Guangtao Zhai
2025	J	`jnl`	Towards All-in-One Medical Image Re-Identification. CoRR Yuan Tian, Kaiyuan Ji, Rongzhao Zhang, Yankai Jiang, Chunyi Li, Xiaosong Wang, Guangtao Zhai
2025	A*	`conf`	Unleashing the Potential of Vision-Language Pre-Training for 3D Zero-Shot Lesion Segmentation via Mask-Attribute Alignment. ICLR Yankai Jiang, Wenhui Lei, Xiaofan Zhang, Shaoting Zhang
2024	A*	`conf`	CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation. NeurIPS Zhongzhen Huang, Yankai Jiang, Rongzhao Zhang, Shaoting Zhang, Xiaofan Zhang
2024	J	`jnl`	CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation. CoRR Zhongzhen Huang, Yankai Jiang, Rongzhao Zhang, Shaoting Zhang, Xiaofan Zhang
2024	J	`jnl`	Unleashing the Potential of Vision-Language Pre-Training for 3D Zero-Shot Lesion Segmentation via Mask-Attribute Alignment. CoRR Yankai Jiang, Wenhui Lei, Xiaofan Zhang, Shaoting Zhang
2024	A*	`conf`	ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting. CVPR Yankai Jiang, Zhongzhen Huang, Rongzhao Zhang, Xiaofan Zhang, Shaoting Zhang
2023	J	`jnl`	ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting. CoRR Yankai Jiang, Zhongzhen Huang, Rongzhao Zhang, Xiaofan Zhang, Shaoting Zhang

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.