Zejian Chen - RankMe

19 papers A* 1Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ClawKeeper: Comprehensive Safety Protection for OpenClaw Agents Through Skills, Plugins, and Watchers. CoRR Songyang Liu, Chaozhuo Li, Chenxu Wang, Jinyu Hou, Zejian Chen, Litian Zhang, Zheng Liu, Qiwei Ye, Yiming Hei, Xi Zhang, Zhongyuan Wang
2026	J	`jnl`	How Real is Your Jailbreak? Fine-grained Jailbreak Evaluation with Anchored Reference. CoRR Songyang Liu, Chaozhuo Li, Rui Pu, Litian Zhang, Chenxu Wang, Zejian Chen, Yuting Zhang, Yiming Hei
2026	J	`jnl`	Jailbreaking LLMs & VLMs: Mechanisms, Evaluation, and Unified Defense. CoRR Zejian Chen, Chaozhuo Li, Chao Li, Xi Zhang, Litian Zhang, Yiming He
2026	J	`jnl`	The Devil Behind Moltbook: Anthropic Safety is Always Vanishing in Self-Evolving AI Societies. CoRR Chenxu Wang, Chaozhuo Li, Songyang Liu, Zejian Chen, Jinyu Hou, Ji Qi, Rui Li, Litian Zhang, Qiwei Ye, Zheng Liu, Xu Chen, Xi Zhang, Philip S. Yu
2025	A*	`conf`	Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling. IJCAI Rui Pu, Chaozhuo Li, Rui Ha, Zejian Chen, Litian Zhang, Zheng Liu, Lirong Qiu, Zaisheng Ye
2025	J	`jnl`	Unraveling the neurocognitive mechanisms of delayed punishment in second- and third-party contexts. NeuroImage Jiamin Huang, Yuwen He, Zejian Chen, Qianwei Cai, Yantong Yao, Yuanchen Wang, Yanyan Qi, Haiyan Wu
2024	—	`conf`	Adaptive Privacy Budget Allocation in Federated Learning: A Multi-Agent Reinforcement Learning Approach. ICC Zejian Chen, Guocheng Liao, Qian Ma, Xu Chen
2024	J	`jnl`	Feint and Attack: Attention-Based Strategies for Jailbreaking and Protecting LLMs. CoRR Rui Pu, Chaozhuo Li, Rui Ha, Zejian Chen, Litian Zhang, Zheng Liu, Lirong Qiu, Xi Zhang
2024	J	`jnl`	Rectifying inaccurate unsupervised learning for robust time series anomaly detection. Inf. Sci. Zejian Chen, Zuoyong Li, Xinwei Chen, Xiaobo Chen, Haoyi Fan, Rong Hu
2023	J	`jnl`	Semi-Supervised Representation Learning for Segmentation on Medical Volumes and Sequences. IEEE Trans. Medical Imaging Zejian Chen, Wei Zhuo, Tianfu Wang, Jun Cheng, Wufeng Xue, Dong Ni
2022	—	`conf`	An Efficient Particle YOLO Detector for Urine Sediment Detection. ML4CS (3) Zejian Chen, Rong Hu, Fukun Chen, Haoyi Fan, Fum Yew Ching, Zuoyong Li, Shimei Su
2022	J	`jnl`	Regional Cardiac Motion Scoring With Multi-Scale Motion-Based Spatial Attention. IEEE J. Biomed. Health Informatics Wufeng Xue, Zejian Chen, Tianfu Wang, Shuo Li, Dong Ni
2022	J	`jnl`	Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis. CoRR Jiamin Liang, Xin Yang, Yuhao Huang, Haoming Li, Shuangchi He, Xindi Hu, Zejian Chen, Wufeng Xue, Jun Cheng, Dong Ni
2022	J	`jnl`	Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis. Medical Image Anal. Jiamin Liang, Xin Yang, Yuhao Huang, Haoming Li, Shuangchi He, Xindi Hu, Zejian Chen, Wufeng Xue, Jun Cheng, Dong Ni
2021	J	`jnl`	Bootstrap Representation Learning for Segmentation on Medical Volumes and Sequences. CoRR Zejian Chen, Wei Zhuo, Tianfu Wang, Wufeng Xue, Dong Ni
2021	J	`jnl`	Modality alignment contrastive learning for severity assessment of COVID-19 from lung ultrasound and clinical information. Medical Image Anal. Wufeng Xue, Chunyan Cao, Jie Liu, Yilian Duan, Haiyan Cao, Jian Wang, Xumin Tao, Zejian Chen, Meng Wu, Jinxiang Zhang, Hui Sun, Yang Jin, Xin Yang, Ruobing Huang, Feixiang Xiang, Yue Song, Manjie You, Wen Zhang, Mingxing Xie
2020	—	`conf`	Style-Invariant Cardiac Image Segmentation with Test-Time Augmentation. M&Ms and EMIDEC/STACOM@MICCAI Xiaoqiong Huang, Zejian Chen, Xin Yang, Zhendong Liu, Yuxin Zou, Mingyuan Luo, Wufeng Xue, Dong Ni
2020	J	`jnl`	Style-invariant Cardiac Image Segmentation with Test-time Augmentation. CoRR Xiaoqiong Huang, Zejian Chen, Xin Yang, Zhendong Liu, Yuxin Zou, Mingyuan Luo, Wufeng Xue, Dong Ni
2019	—	`conf`	Cardiac Motion Scoring Based on CNN with Attention Mechanism. ISICDM Zejian Chen, Wufeng Xue, Tianfu Wang, Dong Ni

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.