Zetao Zheng - RankMe

20 papers A* 6C 1Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DisenKT: A variational attention-based approach for disentangled cross-domain knowledge tracing. Inf. Process. Manag. Yuqi Liu, Zhengyang Wu, Ke Deng, Zetao Zheng, Changqin Huang
2026	A*	`conf`	Improving Generalization in Offline Meta-Reinforcement Learning via Cross-task Contexts. AAAI Hongcai He, Zetao Zheng, Anjie Zhu, Deqiang Ouyang, Jie Shao
2025	J	`jnl`	A cross-domain knowledge tracing model based on graph optimal transport. World Wide Web (WWW) Zhengyang Wu, Yuqi Liu, Jianwei Cen, Zetao Zheng, Guandong Xu
2025	A*	`conf`	Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data. AAAI Shilong Deng, Zetao Zheng, Hongcai He, Paul Weng, Jie Shao
2025	J	`jnl`	Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data. CoRR Shilong Deng, Zetao Zheng, Hongcai He, Paul Weng, Jie Shao
2025	J	`jnl`	Hands-Free: Action Abstraction With Hierarchical Reinforcement Learning in Text-Based Games. IEEE Trans. Consumer Electron. Anjie Zhu, Hongcai He, Yongjun Yang, Zetao Zheng, Jie Shao
2025	J	`jnl`	MemoryKT: An Integrative Memory-and-Forgetting Method for Knowledge Tracing. CoRR Mingrong Lin, Ke Deng, Zhengyang Wu, Zetao Zheng, Jie Li
2025	—	`conf`	Personalized Multi-objective Learning Path Recommendation via Hierarchical Reinforcement Learning and Knowledge Tracing. ICIC (12) Yunxuan Lin, Zhengyang Wu, Zetao Zheng
2024	A*	`conf`	Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning. AAAI Anjie Zhu, Peng-Fei Zhang, Ruihong Qiu, Zetao Zheng, Zi Huang, Jie Shao
2024	J	`jnl`	CeKT: Knowledge Tracing for Predicting Collective Performance on Exercise Sequence. IEEE Trans. Comput. Soc. Syst. Zetao Zheng, Zhengyang Wu, Zahir Tari, Jia Zhu, Ke Deng
2024	A*	`conf`	Cross-Insight Trader: A Trading Approach Integrating Policies with Diverse Investment Horizons for Portfolio Management. ICDE Zetao Zheng, Jie Shao, Shilong Deng, Anjie Zhu, Heng Tao Shen, Xiaofang Zhou
2024	A*	`conf`	HIT: Solving Partial Index Tracking via Hierarchical Reinforcement Learning. ICDE Zetao Zheng, Jie Shao, Feiyu Chen, Anjie Zhu, Shilong Deng, Heng Tao Shen
2023	—	`conf`	Deep Reinforcement Learning for Stock Trading with Behavioral Finance Strategy. ADMA (2) Shilong Deng, Zetao Zheng, Hongcai He, Jie Shao
2023	A*	`conf`	Relational Temporal Graph Convolutional Networks for Ranking-Based Stock Prediction. ICDE Zetao Zheng, Jie Shao, Jia Zhu, Heng Tao Shen
2023	J	`jnl`	What is wrong with deep knowledge tracing? Attention-based knowledge tracing. Appl. Intell. Xianqing Wang, Zetao Zheng, Jia Zhu, Weihao Yu
2021	J	`jnl`	Protein Complexes Detection Based on Semi-Supervised Network Embedding Model. IEEE ACM Trans. Comput. Biol. Bioinform. Jia Zhu, Zetao Zheng, Min Yang, Gabriel Pui Cheong Fung, Changqin Huang
2020	J	`jnl`	A semi-supervised model for knowledge graph embedding. Data Min. Knowl. Discov. Jia Zhu, Zetao Zheng, Min Yang, Gabriel Pui Cheong Fung, Yong Tang
2020	—	`conf`	Learning from Interpretable Analysis: Attention-Based Knowledge Tracing. AIED (2) Jia Zhu, Weihao Yu, Zetao Zheng, Changqin Huang, Yong Tang, Gabriel Pui Cheong Fung
2019	—	`conf`	Who Is the Abnormal User: Anomaly Detection Framework based on the Graph Convolutional Networks. APWeb/WAIM (2) Zetao Zheng, Jia Zhu, Yong Tang, Jiabing Du
2018	C	`conf`	A Keyword-based Scholar Recommendation Framework for Biomedical Literature. CSCWD Fen Yang, Jia Zhu, Jiaqi Lun, Zetao Zheng, Yong Tang, Jian Wu

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.