Tao Yu - RankMe

29 papers A* 6B 1Journal 19Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey of Behavior Foundation Model: Next-Generation Whole-Body Control System of Humanoid Robots. IEEE Trans. Pattern Anal. Mach. Intell. Mingqi Yuan, Tao Yu, Wenqi Ge, Xiuyong Yao, Dapeng Li, Huijiang Wang, Jiayu Chen, Bo Li, Wei Zhang, Wenjun Zeng, Hua Chen, Xin Jin
2026	J	`jnl`	Gait-Adaptive Perceptive Humanoid Locomotion With Real-Time Under-Base Terrain Reconstruction. IEEE Robotics Autom. Lett. Haolin Song, Hongbo Zhu, Tao Yu, Yan Liu, Mingqi Yuan, Wengang Zhou, Hua Chen, Houqiang Li
2025	J	`jnl`	Behavior Foundation Model: Towards Next-Generation Whole-Body Control System of Humanoid Robots. CoRR Mingqi Yuan, Tao Yu, Wenqi Ge, Xiuyong Yao, Dapeng Li, Huijiang Wang, Jiayu Chen, Xin Jin, Bo Li, Hua Chen, Wei Zhang, Wenjun Zeng
2025	J	`jnl`	Gait-Adaptive Perceptive Humanoid Locomotion with Real-Time Under-Base Terrain Reconstruction. CoRR Haolin Song, Hongbo Zhu, Tao Yu, Yan Liu, Mingqi Yuan, Wengang Zhou, Hua Chen, Houqiang Li
2025	J	`jnl`	PvP: Data-Efficient Humanoid Robot Learning with Proprioceptive-Privileged Contrastive Representations. CoRR Mingqi Yuan, Tao Yu, Haolin Song, Bo Li, Xin Jin, Hua Chen, Wenjun Zeng
2025	J	`jnl`	Unleash the Power of Vision-Language Models by Visual Attention Prompt and Multimodal Interaction. IEEE Trans. Multim. Wenyao Zhang, Letian Wu, Zequn Zhang, Tao Yu, Chao Ma, Xin Jin, Xiaokang Yang, Wenjun Zeng
2024	J	`jnl`	Local Patch AutoAugment With Multi-Agent Collaboration. IEEE Trans. Multim. Shiqi Lin, Tao Yu, Ruoyu Feng, Xin Li, Xiaoyuan Yu, Lei Xiao, Zhibo Chen
2024	B	`conf`	Rethinking Domain Adaptation and Generalization in the ERA Of Clip. ICIP Ruoyu Feng, Tao Yu, Xin Jin, Xiaoyuan Yu, Lei Xiao, Zhibo Chen
2024	J	`jnl`	Rethinking Domain Adaptation and Generalization in the Era of CLIP. CoRR Ruoyu Feng, Tao Yu, Xin Jin, Xiaoyuan Yu, Lei Xiao, Zhibo Chen
2023	J	`jnl`	GraphIQA: Learning Distortion Graph Representations for Blind Image Quality Assessment. IEEE Trans. Multim. Simeng Sun, Tao Yu, Jiahua Xu, Wei Zhou, Zhibo Chen
2023	J	`jnl`	Inpaint Anything: Segment Anything Meets Image Inpainting. CoRR Tao Yu, Runseng Feng, Ruoyu Feng, Jinming Liu, Xin Jin, Wenjun Zeng, Zhibo Chen
2023	A*	`conf`	Task Residual for Tuning Vision-Language Models. CVPR Tao Yu, Zhihe Lu, Xin Jin, Zhibo Chen, Xinchao Wang
2022	A*	`conf`	Mask-based Latent Reconstruction for Reinforcement Learning. NeurIPS Tao Yu, Zhizheng Zhang, Cuiling Lan, Yan Lu, Zhibo Chen
2022	J	`jnl`	Mask-based Latent Reconstruction for Reinforcement Learning. CoRR Tao Yu, Zhizheng Zhang, Cuiling Lan, Zhibo Chen, Yan Lu
2022	—	`conf`	SwinIQA: Learned Swin Distance for Compressed Image Quality Assessment. CVPR Workshops Jianzhao Liu, Xin Li, Yanding Peng, Tao Yu, Zhibo Chen
2022	J	`jnl`	SwinIQA: Learned Swin Distance for Compressed Image Quality Assessment. CoRR Jianzhao Liu, Xin Li, Yanding Peng, Tao Yu, Zhibo Chen
2022	J	`jnl`	Task Residual for Tuning Vision-Language Models. CoRR Tao Yu, Zhihe Lu, Xin Jin, Zhibo Chen, Xinchao Wang
2021	J	`jnl`	GraphIQA: Learning Distortion Graph Representations for Blind Image Quality Assessment. CoRR Simeng Sun, Tao Yu, Jiahua Xu, Jianxin Lin, Wei Zhou, Zhibo Chen
2021	A*	`conf`	Learning Omni-Frequency Region-adaptive Representations for Real Image Super-Resolution. AAAI Xin Li, Xin Jin, Tao Yu, Simeng Sun, Yingxue Pang, Zhizheng Zhang, Zhibo Chen
2021	J	`jnl`	Patch AutoAugment. CoRR Shiqi Lin, Tao Yu, Ruoyu Feng, Zhibo Chen
2021	A*	`conf`	PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning. NeurIPS Tao Yu, Cuiling Lan, Wenjun Zeng, Mingxiao Feng, Zhizheng Zhang, Zhibo Chen
2021	J	`jnl`	PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning. CoRR Tao Yu, Cuiling Lan, Wenjun Zeng, Mingxiao Feng, Zhibo Chen
2020	—	`conf`	Learning Disentangled Feature Representation for Hybrid-Distorted Image Restoration. ECCV (29) Xin Li, Xin Jin, Jianxin Lin, Sen Liu, Yaojun Wu, Tao Yu, Wei Zhou, Zhibo Chen
2020	J	`jnl`	Learning Disentangled Feature Representation for Hybrid-distorted Image Restoration. CoRR Xin Li, Xin Jin, Jianxin Lin, Tao Yu, Sen Liu, Yaojun Wu, Wei Zhou, Zhibo Chen
2020	J	`jnl`	Learning Omni-frequency Region-adaptive Representations for Real Image Super-Resolution. CoRR Xin Li, Xin Jin, Tao Yu, Yingxue Pang, Simeng Sun, Zhizheng Zhang, Zhibo Chen
2020	A*	`conf`	Region Normalization for Image Inpainting. AAAI Tao Yu, Zongyu Guo, Xin Jin, Shilin Wu, Zhibo Chen, Weiping Li, Zhizheng Zhang, Sen Liu
2019	—	`conf`	Interleaved Zooming Network for Image Inpainting. ICME Workshops Sen Liu, Zongyu Guo, Jiale Chen, Tao Yu, Zhibo Chen
2019	A*	`conf`	Progressive Image Inpainting with Full-Resolution Residual Network. ACM Multimedia Zongyu Guo, Zhibo Chen, Tao Yu, Jiale Chen, Sen Liu
2019	J	`jnl`	Region Normalization for Image Inpainting. CoRR Tao Yu, Zongyu Guo, Xin Jin, Shilin Wu, Zhibo Chen, Weiping Li, Zhizheng Zhang, Sen Liu

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.