Qianzhong Chen

16 papers A 2C 2Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GRAD-NAV++: Vision-Language Model Enabled Visual Drone Navigation With Gaussian Radiance Fields and Differentiable Dynamics. IEEE Robotics Autom. Lett. Qianzhong Chen, Naixiang Gao, Suning Huang, JunEn Low, Timothy Chen, Jiankai Sun, Mac Schwager
2025	A	`conf`	Autotuning Bipedal Locomotion MPC with GRFM-Net for Efficient Sim-to-Real Transfer. IROS Qianzhong Chen, Junheng Li, Sheng Cheng, Naira Hovakimyan, Quan Nguyen
2025	J	`jnl`	Benchmarking the Thinking Mode of Multimodal Large Language Models in Clinical Tasks. CoRR Jindong Hong, Tianjie Chen, Lingjie Luo, Chuanyang Zheng, Ting Xu, Haibao Yu, Jianing Qiu, Qianzhong Chen, Suning Huang, Yan Xu, Yong Gui, Yijun He, Jiankai Sun
2025	J	`jnl`	GRaD-Nav++: Vision-Language Model Enabled Visual Drone Navigation with Gaussian Radiance Fields and Differentiable Dynamics. CoRR Qianzhong Chen, Naixiang Gao, Suning Huang, JunEn Low, Timothy Chen, Jiankai Sun, Mac Schwager
2025	A	`conf`	GRaD-Nav: Efficiently Learning Visual Drone Navigation with Gaussian Radiance Fields and Differentiable Dynamics. IROS Qianzhong Chen, Jiankai Sun, Naixiang Gao, JunEn Low, Timothy Chen, Mac Schwager
2025	J	`jnl`	GRaD-Nav: Efficiently Learning Visual Drone Navigation with Gaussian Radiance Fields and Differentiable Dynamics. CoRR Qianzhong Chen, Jiankai Sun, Naixiang Gao, JunEn Low, Timothy Chen, Mac Schwager
2025	J	`jnl`	ParticleFormer: A 3D Point Cloud World Model for Multi-Object, Multi-Material Robotic Manipulation. CoRR Suning Huang, Qianzhong Chen, Xiaohan Zhang, Jiankai Sun, Mac Schwager
2025	J	`jnl`	SARM: Stage-Aware Reward Modeling for Long Horizon Robot Manipulation. CoRR Qianzhong Chen, Justin Yu, Mac Schwager, Pieter Abbeel, Fred Shentu, Philipp Wu
2024	J	`jnl`	Autotuning Bipedal Locomotion MPC with GRFM-Net for Efficient Sim-to-Real Transfer. CoRR Qianzhong Chen, Junheng Li, Sheng Cheng, Naira Hovakimyan, Quan Nguyen
2024	J	`jnl`	Multi-modal knowledge graph inference via media convergence and logic rule. CAAI Trans. Intell. Technol. Feng Lin, Dongmei Li, Wenbin Zhang, Dongsheng Shi, Yuanzhou Jiao, Qianzhong Chen, Yiying Lin, Wentao Zhu
2023	C	`conf`	Construction and Application of Knowledge Graph for Food Therapy. SERA Qianzhong Chen, Xianghao Meng, Feng Lin, Dongsheng Shi, Yiying Lin, Dongmei Li, Hao Gu, Xiaoping Zhang
2023	—	`conf`	Fusion of Multi-headed Self-attention for Traditional Chinese Medicine Knowledge Graph Representation Learning. SNPD-Winter Yiying Lin, Feng Lin, Yu Yang, Dongsheng Shi, Qianzhong Chen, Wentao Zhu, Dongmei Li, Xiaoping Zhang
2023	—	`conf`	Named Entity Recognition in Electronic Medical Records Based on RoBERTa Embedding and BiLSTM-CRF. SNPD-Winter Feng Lin, Sisi Luo, Dongsheng Shi, Qianzhong Chen, Yiying Lin, Dongmei Li
2023	C	`conf`	Rule-Based Representation Learning for Traditional Chinese Medicine Knowledge Graph. SERA Dongsheng Shi, Feng Lin, Yuxun Li, Qianzhong Chen, Yiying Lin, Wentao Zhu, Dongmei Li, Xiaoping Zhang
2023	J	`jnl`	Simultaneous Spatial and Temporal Assignment for Fast UAV Trajectory Optimization Using Bilevel Optimization. IEEE Robotics Autom. Lett. Qianzhong Chen, Sheng Cheng, Naira Hovakimyan
2022	J	`jnl`	Simultaneous Spatial and Temporal Assignment for Fast UAV Trajectory Optimization using Bilevel Optimization. CoRR Qianzhong Chen, Sheng Cheng, Naira Hovakimyan

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.