Qiliang Chen - RankMe

19 papers C 2Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A concept-cognitive learning approach from the perspective of causal reasoning. Neurocomputing Ningqing Xie, Enliang Yan, Xinyu Yao, Qiliang Chen, Tianyong Hao
2026	J	`jnl`	A machine learning radial basis deep neural network for solving the fractional chaotic financial system. J. Comput. Appl. Math. Qiliang Chen, Zulqurnain Sabir, Muhammad Athar Mehmood, Haci Mehmet Baskonus
2025	J	`jnl`	A Bayesian regularization radial basis neural network novel procedure for the fractional economic and environmental system. Int. J. Comput. Math. Qiliang Chen, Zulqurnain Sabir, Muhammad Umar, Haci Mehmet Baskonus
2025	J	`jnl`	A power-efficient spiking convolutional neural network accelerator based on temporal parallelism and streaming dataflow. Microelectron. J. Jian Zhang, Yong Wang, Yanlong Zhang, Bo Bi, Qiliang Chen, Yimao Cai
2025	J	`jnl`	Adaptive Network Intervention for Complex Systems: A Hierarchical Graph Reinforcement Learning Approach. J. Comput. Inf. Sci. Eng. Qiliang Chen, Babak Heydari
2025	J	`jnl`	Temporal-Spatial Replication of the Pulse Haptic Sensation Empowered by Multifunctional Piezoelectret. Adv. Intell. Syst. Liuyang Han, Wei Zeng, Nianping Zhang, Dong Cao, Wenting Chen, Qiliang Chen, Qisen Xie, Ziyao Qi, Ying Dong, Xiaohao Wang
2024	J	`jnl`	A preliminary study on few-shot knowledge reasoning mechanism based on three-way partial order structure. Inf. Sci. Enliang Yan, Tao Zhang, Jianping Yu, Tianyong Hao, Qiliang Chen
2024	J	`jnl`	Adaptive Network Intervention for Complex Systems: A Hierarchical Graph Reinforcement Learning Approach. CoRR Qiliang Chen, Babak Heydari
2024	J	`jnl`	Developing Deep LSTMs With Later Temporal Attention for Predicting COVID-19 Severity, Clinical Outcome, and Antibody Level by Screening Serological Indicators Over Time. IEEE J. Biomed. Health Informatics Jiaxin Cai, Yang Li, Baichen Liu, Zhixi Wu, Shengjun Zhu, Qiliang Chen, Qing Lei, Hongyan Hou, Zhibin Guo, Hewei Jiang, Shujuan Guo, Feng Wang, Shengjing Huang, Shunzhi Zhu, Xionglin Fan, Sheng-ce Tao
2024	J	`jnl`	Graph representation learning method based on three-way partial order structure. Int. J. Approx. Reason. Enliang Yan, Shikuan Hao, Tao Zhang, Tianyong Hao, Qiliang Chen, Jianping Yu
2024	J	`jnl`	Instigating Cooperation among LLM Agents Using Adaptive Information Modulation. CoRR Qiliang Chen, Alireza Sepehr Ilami, Nunzio Lorè, Babak Heydari
2024	J	`jnl`	Resource Governance in Networked Systems via Integrated Variational Autoencoders and Reinforcement Learning. CoRR Qiliang Chen, Babak Heydari
2024	J	`jnl`	The SoS conductor: Orchestrating resources with iterative agent-based reinforcement learning. Syst. Eng. Qiliang Chen, Babak Heydari
2022	—	`conf`	An adaptive FRFT interference suppression algorithm based on N-sigma method. ICCCS Jiaqi Lu, Weimin Li, Qiliang Chen, Bo Bi
2022	—	`conf`	Human Action Recognition Based on Vision Transformer and L2 Regularization. ICCPR Qiliang Chen, Hasiqidalatu Tang, Jiaxin Cai
2022	J	`jnl`	Palpation localization of radial artery based on 3-dimensional convolutional neural networks. EURASIP J. Image Video Process. Qiliang Chen, Yulin Huang, Xing Zhu, Hong Lu, Zhongzhi Ji, Jiacheng Yang, Jingjing Luo
2020	J	`jnl`	A neuro-inspired computational model for adaptive fault diagnosis. Expert Syst. Appl. Mohsen Moghaddam, Qiliang Chen, Abhijit V. Deshmukh
2018	C	`conf`	An EKF Based Tracking Loop Filter Algorithm in GNSS Receiver for Ultra High Dynamic Environment: The Experiment Results. IECON Qiliang Chen, Xiongjun Wu, Jiahong Liang, Chan Zeng
2018	C	`conf`	Distributed Self-Triggered Constraint Control for Multi-Agent Systems: Semi-Global Consensus Case. IECON Xiongjun Wu, Chunfang Chen, Jialing Zhou, Meng Cai, Feiming Wei, Qiliang Chen

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.