Yansong Shi - RankMe

16 papers A* 1A 1B 1C 2Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	RIVER: A Real-Time Interaction Benchmark for Video LLMs. CoRR Yansong Shi, Qingsong Zhao, Tianxiang Jiang, Xiangyu Zeng, Yi Wang, Limin Wang
2025	J	`jnl`	A novel self-adaptive multivariate grey model with external intervention for port cargo throughput prediction. Grey Syst. Theory Appl. Xuemei Li, Yuyu Sun, Yansong Shi, Yufeng Zhao, Shiwei Zhou
2025	J	`jnl`	A type-2 fuzzy review topic-based model for personalized recommendation. Electron. Commer. Res. Cong Wang, Yue Ma, Yansong Shi, Guoqing Chen
2025	J	`jnl`	CoMo: Learning Continuous Latent Motion from Internet Videos for Scalable Robot Learning. CoRR Jiange Yang, Yansong Shi, Haoyi Zhu, Mingyu Liu, Kaijing Ma, Yating Wang, Gangshan Wu, Tong He, Limin Wang
2025	J	`jnl`	Distributionally Robust Wireless Semantic Communication with Large AI Models. CoRR Long Tan Le, Senura Hansaja Wanasekara, Zerun Niu, Yansong Shi, Nguyen Hoang Tran, Phuong Vo, Walid Saad, Dusit Niyato, Zhu Han, Choong Seon Hong, H. Vincent Poor
2025	B	`conf`	OSSDetector: Towards a More Accurate Approach for C/C++ Third-Party Library Detection. TrustCom Xiang Hai, Jia Zeng, Zhiyuan Fu, Siyu Chen, Yansong Shi, Hongyu Sun, Jice Wang, Fannv He, Yuqing Zhang
2025	J	`jnl`	Probing Digital Footprints and Reaching for Inherent Preferences: A Cause-Disentanglement Approach to Personalized Recommendations. Inf. Syst. Res. Cong Wang, Yansong Shi, Xunhua Guo, Guoqing Chen
2025	A*	`conf`	TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning. ICLR Xiangyu Zeng, Kunchang Li, Chenting Wang, Xinhao Li, Tianxiang Jiang, Ziang Yan, Songze Li, Yansong Shi, Zhengrong Yue, Yi Wang, Yali Wang, Yu Qiao, Limin Wang
2024	A	`conf`	Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation. WSDM Tianyu Zhu, Yansong Shi, Yuan Zhang, Yihong Wu, Fengran Mo, Jian-Yun Nie
2024	—	`conf`	InternVideo2: Scaling Foundation Models for Multimodal Video Understanding. ECCV (85) Yi Wang, Kunchang Li, Xinhao Li, Jiashuo Yu, Yinan He, Guo Chen, Baoqi Pei, Rongkun Zheng, Zun Wang, Yansong Shi, Tianxiang Jiang, Songze Li, Jilan Xu, Hongjie Zhang, Yifei Huang, Yu Qiao, Yali Wang, Limin Wang
2024	J	`jnl`	InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding. CoRR Yi Wang, Kunchang Li, Xinhao Li, Jiashuo Yu, Yinan He, Guo Chen, Baoqi Pei, Rongkun Zheng, Jilan Xu, Zun Wang, Yansong Shi, Tianxiang Jiang, Songze Li, Hongjie Zhang, Yifei Huang, Yu Qiao, Yali Wang, Limin Wang
2024	J	`jnl`	TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning. CoRR Xiangyu Zeng, Kunchang Li, Chenting Wang, Xinhao Li, Tianxiang Jiang, Ziang Yan, Songze Li, Yansong Shi, Zhengrong Yue, Yi Wang, Yali Wang, Yu Qiao, Limin Wang
2023	J	`jnl`	Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation. CoRR Tianyu Zhu, Yansong Shi, Yuan Zhang, Yihong Wu, Fengran Mo, Jian-Yun Nie
2022	C	`conf`	Personalized Recommendation through Disentangled Representation Learning of Consumers' Multiple Digital Footprints. ICIS Yansong Shi, Cong Wang, Xunhua Guo, Guoqing Chen
2021	J	`jnl`	A Dynamic-Data-Driven Method for Improving the Performance of Receiver Autonomous Integrity Monitoring. IEEE Access Xueen Zheng, Chengdong Xu, Yudong Wang, Haoming Zou, Xijuan Lv, Shuai Zhao, Yansong Shi, Qinghai Shu
2021	C	`conf`	Training Personalized Recommender Systems with Biased Data: A Joint Likelihood Approach to Modeling Consumer Self-selection Behaviors. ICIS Yansong Shi, Cong Wang, Xunhua Guo, Guoqing 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.