Da Song - RankMe

39 papers A* 5Journal 30Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A prototype correction multi-scale feature reconstruction network for industrial anomaly detection. Pattern Recognit. Lanxiao Li, Chunjuan Yan, Da Song, Binghui Wang, Chuanxu Wang
2026	J	`jnl`	Evaluating Implicit Regulatory Compliance in LLM Tool Invocation via Logic-Guided Synthesis. CoRR Da Song, Yuheng Huang, Boqi Chen, Tianshuo Cong, Randy Goebel, Lei Ma, Foutse Khomh
2026	J	`jnl`	GMSFormer: Geometric-aware multi-structured transformer for point cloud understanding. Pattern Recognit. Da Song, Chunjuan Yan, Binghui Wang, Yishuo Liu, Chuanxu Wang
2026	J	`jnl`	IPG-FRN: Intrinsic prototype-guided feature reconstruction network for industrial anomaly detection. Expert Syst. Appl. Lanxiao Li, Chuanxu Wang, Yishuo Liu, Binghui Wang, Da Song
2026	J	`jnl`	LeCov: Multi-level testing criteria for large language models. J. Syst. Softw. Xuan Xie, Jiayang Song, Yuheng Huang, Da Song, Felix Juefei-Xu, Lei Ma
2026	J	`jnl`	Online Safety Analysis for LLMs: A Benchmark, an Assessment, and a Path Forward. IEEE Trans. Artif. Intell. Xuan Xie, Jiayang Song, Zhehua Zhou, Yuheng Huang, Da Song, Lei Ma
2025	J	`jnl`	A Dual-Swing-Sample-and-Couple Sense Amplifier With Large Sensing Margin for STT-MRAM. IEEE Trans. Circuits Syst. II Express Briefs You Wang, Da Song, Jiaao Dai, Erya Deng, Yu Gong, Weiqiang Liu
2025	J	`jnl`	A novel cable-driven serial robot based on flexible joints and tensegrity structures. Robotica Da Song, Haochen Wang, Ming Lu, Hong Chen, Lixun Zhang
2025	J	`jnl`	Align and Blend: A Unified Multi-Modal LiDAR Segmentation Network. IEEE Trans. Intell. Transp. Syst. Chuanxu Wang, Jiajiong Li, Xin Chen, Da Song, Binghui Wang
2025	J	`jnl`	Bifurcation Analysis of a Stochastic Phytoplankton Growth Model Under Photoinhibition. SIAM J. Appl. Math. Da Song, Wentao Fu, Meng Fan
2025	J	`jnl`	CPFormer: contrast planes transformer for point cloud semantic segmentation. J. Electronic Imaging Da Song, Binghui Wang, Lanxiao Li, Yishuo Liu, Chuanxu Wang
2025	J	`jnl`	Dynamic Challenge Cross-Selection Physical Unclonable Function Based on MRAM. IEEE Trans. Very Large Scale Integr. Syst. Siying Wu, Yu Gong, Jiaao Dai, Da Song, Shouzhong Peng, Yue Zhang, You Wang, Weiqiang Liu
2025	J	`jnl`	Evaluating LLMs on Sequential API Call Through Automated Test Generation. CoRR Yuheng Huang, Da Song, Zhenlan Ji, Shuai Wang, Lei Ma
2025	J	`jnl`	MMI-FM: Multimodal Interaction and Fusion Mechanism for Video Anomaly Detection. Appl. Intell. Binghui Wang, Chuanxu Wang, Jiajiong Li, Da Song, Yishuo Liu
2025	J	`jnl`	Modeling analysis and signal tracking experiment of a novel series-parallel stable platform system. Robotica Xinlei Xiao, Da Song, Lei Lu, Gang Li, Feng Xue, Lixun Zhang
2025	—	`conf`	TESTEVAL: Benchmarking Large Language Models for Test Case Generation. NAACL (Findings) Wenhan Wang, Chenyuan Yang, Zhijie Wang, Yuheng Huang, Zhaoyang Chu, Da Song, Lingming Zhang, An Ran Chen, Lei Ma
2025	J	`jnl`	TRUSTVIS: A Multi-Dimensional Trustworthiness Evaluation Framework for Large Language Models. CoRR Ruoyu Sun, Da Song, Jiayang Song, Yuheng Huang, Lei Ma
2025	A*	`conf`	Towards Understanding the Characteristics of Code Generation Errors Made by Large Language Models. ICSE Zhijie Wang, Zijie Zhou, Da Song, Yuheng Huang, Shengmai Chen, Lei Ma, Tianyi Zhang
2025	A*	`conf`	TrustVis: A Multi-Dimensional Trustworthiness Evaluation Framework for Large Language Models. ASE Ruoyu Sun, Da Song, Jiayang Song, Yuheng Huang, Lei Ma
2024	J	`jnl`	A novel real-time tension distribution method for cable-driven parallel robots. Robotica Da Song, Ming Lu, Lei Zhao, Zhichao Sun, Haochen Wang, Lixun Zhang
2024	—	`conf`	Compact Model of Borophene Field Effect Transistors for Circuit Design. ICTA Yefan Xu, Da Song, You Wang
2024	J	`jnl`	LUNA: A Model-Based Universal Analysis Framework for Large Language Models. IEEE Trans. Software Eng. Da Song, Xuan Xie, Jiayang Song, Derui Zhu, Yuheng Huang, Felix Juefei-Xu, Lei Ma
2024	J	`jnl`	LeCov: Multi-level Testing Criteria for Large Language Models. CoRR Xuan Xie, Jiayang Song, Yuheng Huang, Da Song, Fuyuan Zhang, Felix Juefei-Xu, Lei Ma
2024	J	`jnl`	Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward. CoRR Xuan Xie, Jiayang Song, Zhehua Zhou, Yuheng Huang, Da Song, Lei Ma
2024	J	`jnl`	Point-AGM : Attention Guided Masked Auto-Encoder for Joint Self-supervised Learning on Point Clouds. Comput. Graph. Forum Jie Liu, Mengna Yang, Yu Tian, Yancui Li, Da Song, Kang Li, Xin Cao
2024	A*	`conf`	PromptCharm: Text-to-Image Generation through Multi-modal Prompting and Refinement. CHI Zhijie Wang, Yuheng Huang, Da Song, Lei Ma, Tianyi Zhang
2024	J	`jnl`	PromptCharm: Text-to-Image Generation through Multi-modal Prompting and Refinement. CoRR Zhijie Wang, Yuheng Huang, Da Song, Lei Ma, Tianyi Zhang
2024	J	`jnl`	TESTEVAL: Benchmarking Large Language Models for Test Case Generation. CoRR Wenhan Wang, Chenyuan Yang, Zhijie Wang, Yuheng Huang, Zhaoyang Chu, Da Song, Lingming Zhang, An Ran Chen, Lei Ma
2024	J	`jnl`	Where Do Large Language Models Fail When Generating Code? CoRR Zhijie Wang, Zijie Zhou, Da Song, Yuheng Huang, Shengmai Chen, Lei Ma, Tianyi Zhang
2023	A*	`conf`	DeepLens: Interactive Out-of-distribution Data Detection in NLP Models. CHI Da Song, Zhijie Wang, Yuheng Huang, Lei Ma, Tianyi Zhang
2023	J	`jnl`	DeepLens: Interactive Out-of-distribution Data Detection in NLP Models. CoRR Da Song, Zhijie Wang, Yuheng Huang, Lei Ma, Tianyi Zhang
2023	A*	`conf`	DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction. CHI Zhijie Wang, Yuheng Huang, Da Song, Lei Ma, Tianyi Zhang
2023	J	`jnl`	DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction. CoRR Zhijie Wang, Yuheng Huang, Da Song, Lei Ma, Tianyi Zhang
2023	J	`jnl`	LUNA: A Model-Based Universal Analysis Framework for Large Language Models. CoRR Da Song, Xuan Xie, Jiayang Song, Derui Zhu, Yuheng Huang, Felix Juefei-Xu, Lei Ma
2023	J	`jnl`	RIS-Assisted Covert Transmission in Satellite-Terrestrial Communication Systems. IEEE Internet Things J. Da Song, Ziyi Yang, Gaofeng Pan, Shuai Wang, Jianping An
2023	—	`conf`	Simulation Analysis of A Cable-Driven Astronaut on-Orbit Physical Exercise Equipment. ICARA Lailu Li, Lixun Zhang, Bing Wang, Da Song
2021	—	`conf`	Back gate bias effect and layout dependence on Random Telegraph Noise in FDSOI technologies. IRPS P. Srinivasan, Da Song, David Rose, Maurice LaCroix, Arunima Dasgupta
2020	J	`jnl`	Velocity Planning for Astronaut Virtual Training Robot with High-Order Dynamic Constraints. Robotica Lan Wang, Lingjie Lin, Ying Chang, Da Song
2018	J	`jnl`	Configuration Optimization and a Tension Distribution Algorithm for Cable-Driven Parallel Robots. IEEE Access Da Song, Lixun Zhang, Feng Xue

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.