Zhanjie Zhang - RankMe

53 papers A* 16Journal 35Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cross-Scale Pansharpening via ScaleFormer and the PanScale Benchmark. CoRR Ke Cao, Xuanhua He, Xueheng Li, Lingting Zhu, Yingying Wang, Ao Ma, Zhanjie Zhang, Man Zhou, Chengjun Xie, Jie Zhang
2026	J	`jnl`	Fast and Robust Deformable 3D Gaussian Splatting. CoRR Han Jiao, Jiakai Sun, Lei Zhao, Zhanjie Zhang, Wei Xing, Huaizhong Lin
2026	J	`jnl`	FedCVU: Federated Learning for Cross-View Video Understanding. CoRR Shenghan Zhang, Run Ling, Ke Cao, Ao Ma, Zhanjie Zhang
2026	J	`jnl`	IP-Controller: Decomposition and Optimization of Cross-Attention Maps for Accurate Subject-Driven Text-to-Image Diffusion Generation. IEEE Trans. Circuits Syst. Video Technol. Junsheng Luan, Guangyuan Li, Zhanjie Zhang, Lei Zhao, Wei Xing
2026	J	`jnl`	InnoAds-Composer: Efficient Condition Composition for E-Commerce Poster Generation. CoRR Yuxin Qin, Ke Cao, Haowei Liu, Ao Ma, Fengheng Li, Honghe Zhu, Zheng Zhang, Run Ling, Wei Feng, Xuanhua He, Zhanjie Zhang, Zhen Guo, Haoyi Bian, Jingjing Lv, Junjie Shen, Ching Law
2026	J	`jnl`	LMMRec: LLM-driven Motivation-aware Multimodal Recommendation. CoRR Yicheng Di, Zhanjie Zhang, Yun Wang, Jinren Liu, Jiaqi Yan, Jiyu Wei, Xiangyu Chen, Yuan Liu
2026	A*	`conf`	MoFu: Scale-Aware Modulation and Fourier Fusion for Multi-Subject Video Generation. AAAI Run Ling, Ke Cao, Jian Lu, Ao Ma, Haowei Liu, Runze He, Changwei Wang, Rongtao Xu, Yihua Shao, Zhanjie Zhang, Peng Wu, Guibing Guo, Wei Feng, Zheng Zhang, Jingjing Lv, Junjie Shen, Ching Law, Xingwei Wang
2026	A*	`conf`	RAFed: Responsive Augmentation and Approximate Update Method for Federated Learning with Non-IID Data. WWW Yicheng Di, Zhanjie Zhang
2026	A*	`conf`	RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers. AAAI Ke Cao, Jing Wang, Ao Ma, Jiasong Feng, Xuanhua He, Run Ling, Haowei Liu, Jian Lu, Wei Feng, Haozhe Wang, Hongjuan Pei, Yihua Shao, Zhanjie Zhang, Jie Zhang
2026	J	`jnl`	SDFed: Bridging Local Global Discrepancy via Subspace Refinement and Divergence Control in Federated Prompt Learning. CoRR Yicheng Di, Wei Yuan, Tieke He, Zhanjie Zhang, Ao Ma, Yuan Liu, Hongzhi Yin
2026	J	`jnl`	StyMam: A Mamba-Based Generator for Artistic Style Transfer. CoRR Zhou Hong, Ning Dong, Yicheng Di, Xiaolong Xu, Rongsheng Hu, Yihua Shao, Run Ling, Yun Wang, Juqin Wang, Zhanjie Zhang, Ao Ma
2025	—	`conf`	Complementary-Disentangled Neural Generalization: a Robust Framework for Stable Brain-Computer Interfaces. BIBM Jiyu Wei, Dazhong Rong, Di Hong, Zhanjie Zhang, Xinyun Zhu, Qinming He, Yueming Wang
2025	A*	`conf`	DualNet: Robust Self-Supervised Stereo Matching with Pseudo-Label Supervision. AAAI Yun Wang, Jiahao Zheng, Chenghao Zhang, Zhanjie Zhang, Kunhong Li, Yongjian Zhang, Junjie Hu
2025	J	`jnl`	DyArtbank: Diverse Artistic Style Transfer via Pre-trained Stable Diffusion and Dynamic Style Prompt Artbank. CoRR Zhanjie Zhang, Quanwei Zhang, Guangyuan Li, Junsheng Luan, Mengyuan Yang, Yun Wang, Lei Zhao
2025	J	`jnl`	DyArtbank: Diverse artistic style transfer via pre-trained stable diffusion and dynamic style prompt Artbank. Knowl. Based Syst. Zhanjie Zhang, Quanwei Zhang, Guangyuan Li, Junsheng Luan, Mengyuan Yang, Yun Wang, Lei Zhao
2025	J	`jnl`	Episodic Memory Representation for Long-form Video Understanding. CoRR Yun Wang, Long Zhang, Jingren Liu, Jiaqi Yan, Zhanjie Zhang, Jiahao Zheng, Xun Yang, Dapeng Wu, Xiangyu Chen, Xuelong Li
2025	A*	`conf`	FancyVideo: Towards Dynamic and Consistent Video Generation via Cross-frame Textual Guidance. IJCAI Jiasong Feng, Ao Ma, Jing Wang, Ke Cao, Zhanjie Zhang
2025	J	`jnl`	LGAST: Towards high-quality arbitrary style transfer with local-global style learning. Neurocomputing Zhanjie Zhang, Yuxiang Li, Ruichen Xia, Mengyuan Yang, Yun Wang, Lei Zhao, Wei Xing
2025	J	`jnl`	Lay2Story: Extending Diffusion Transformers for Layout-Togglable Story Generation. CoRR Ao Ma, Jiasong Feng, Ke Cao, Jing Wang, Yun Wang, Quanwei Zhang, Zhanjie Zhang
2025	J	`jnl`	Learning Robust Stereo Matching in the Wild with Selective Mixture-of-Experts. CoRR Yun Wang, Longguang Wang, Chenghao Zhang, Yongjian Zhang, Zhanjie Zhang, Ao Ma, Chenyou Fan, Tin Lun Lam, Junjie Hu
2025	J	`jnl`	MoFu: Scale-Aware Modulation and Fourier Fusion for Multi-Subject Video Generation. CoRR Run Ling, Ke Cao, Jian Lu, Ao Ma, Haowei Liu, Runze He, Changwei Wang, Rongtao Xu, Yihua Shao, Zhanjie Zhang, Peng Wu, Guibing Guo, Wei Feng, Zheng Zhang, Jingjing Lv, Junjie Shen, Ching Law, Xingwei Wang
2025	J	`jnl`	Personalized text-to-image generation with Large Language and Vision Assistant enhanced training. Eng. Appl. Artif. Intell. Junsheng Luan, Zhanjie Zhang, Wei Xing, Lei Zhao
2025	J	`jnl`	RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers. CoRR Ke Cao, Jing Wang, Ao Ma, Jiasong Feng, Zhanjie Zhang, Xuanhua He, Shanyuan Liu, Bo Cheng, Dawei Leng, Yuhui Yin, Jie Zhang
2025	J	`jnl`	SPAST: Arbitrary Style Transfer with Style Priors via Pre-trained Large-scale Model. CoRR Zhanjie Zhang, Quanwei Zhang, Junsheng Luan, Mengyuan Yang, Yun Wang, Lei Zhao
2025	J	`jnl`	SPAST: Arbitrary style transfer with style priors via pre-trained large-scale model. Neural Networks Zhanjie Zhang, Quanwei Zhang, Junsheng Luan, Mengyuan Yang, Yun Wang, Lei Zhao
2025	J	`jnl`	U-StyDiT: Ultra-high Quality Artistic Style Transfer Using Diffusion Transformers. CoRR Zhanjie Zhang, Ao Ma, Ke Cao, Jing Wang, Shanyuan Liu, Yuhang Ma, Bo Cheng, Dawei Leng, Yuhui Yin
2025	—	`conf`	Unpaired Image Style Translations Using Mamba Adversarial Networks. ICIC (10) Zhou Hong, Zhenyu Qian, Zhanjie Zhang, Juqin Wang, Yanzhao Shan, Jie Liu, Le Chen, Ning Dong, Yuan Liang, Jingwen Yu, Qingxia Chen
2025	J	`jnl`	VectorSketcher: Learning to create a vector-based free-hand sketch. Eng. Appl. Artif. Intell. Zhanjie Zhang, Quanwei Zhang, Junsheng Luan, Mengyuan Yang, Yun Wang, Lei Zhao
2025	J	`jnl`	WISA: World Simulator Assistant for Physics-Aware Text-to-Video Generation. CoRR Jing Wang, Ao Ma, Ke Cao, Jun Zheng, Zhanjie Zhang, Jiasong Feng, Shanyuan Liu, Yuhang Ma, Bo Cheng, Dawei Leng, Yuhui Yin, Xiaodan Liang
2024	A*	`conf`	3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos. CVPR Jiakai Sun, Han Jiao, Guangyuan Li, Zhanjie Zhang, Lei Zhao, Wei Xing
2024	J	`jnl`	3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos. CoRR Jiakai Sun, Han Jiao, Guangyuan Li, Zhanjie Zhang, Lei Zhao, Wei Xing
2024	A*	`conf`	ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank. AAAI Zhanjie Zhang, Quanwei Zhang, Wei Xing, Guangyuan Li, Lei Zhao, Jiakai Sun, Zehua Lan, Junsheng Luan, Yiling Huang, Huaizhong Lin
2024	J	`jnl`	Rethink Arbitrary Style Transfer with Transformer and Contrastive Learning. CoRR Zhanjie Zhang, Jiakai Sun, Guangyuan Li, Lei Zhao, Quanwei Zhang, Zehua Lan, Haolin Yin, Wei Xing, Huaizhong Lin, Zhiwen Zuo
2024	J	`jnl`	Rethink arbitrary style transfer with transformer and contrastive learning. Comput. Vis. Image Underst. Zhanjie Zhang, Jiakai Sun, Guangyuan Li, Lei Zhao, Quanwei Zhang, Zehua Lan, Haolin Yin, Xing Wei, Huaizhong Lin, Zhiwen Zuo
2024	A*	`conf`	Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution. CVPR Guangyuan Li, Chen Rao, Juncheng Mo, Zhanjie Zhang, Wei Xing, Lei Zhao
2024	J	`jnl`	Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution. CoRR Guangyuan Li, Chen Rao, Juncheng Mo, Zhanjie Zhang, Wei Xing, Lei Zhao
2024	A*	`conf`	Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt. IJCAI Zhanjie Zhang, Quanwei Zhang, Huaizhong Lin, Wei Xing, Juncheng Mo, Shuaicheng Huang, Jinheng Xie, Guangyuan Li, Junsheng Luan, Lei Zhao, Dalong Zhang, Lixia Chen
2024	J	`jnl`	Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt. CoRR Zhanjie Zhang, Quanwei Zhang, Huaizhong Lin, Wei Xing, Juncheng Mo, Shuaicheng Huang, Jinheng Xie, Guangyuan Li, Junsheng Luan, Lei Zhao, Dalong Zhang, Lixia Chen
2023	J	`jnl`	A Review of Forest Height Inversion by PolInSAR: Theory, Advances, and Perspectives. Remote. Sens. Cheng Xing, Hongmiao Wang, Zhanjie Zhang, Junjun Yin, Jian Yang
2023	J	`jnl`	ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank. CoRR Zhanjie Zhang, Quanwei Zhang, Guangyuan Li, Wei Xing, Lei Zhao, Jiakai Sun, Zehua Lan, Junsheng Luan, Yiling Huang, Huaizhong Lin
2023	J	`jnl`	Caster: Cartoon style transfer via dynamic cartoon style casting. Neurocomputing Zhanjie Zhang, Jiakai Sun, Jiafu Chen, Lei Zhao, Boyan Ji, Zehua Lan, Guangyuan Li, Wei Xing, Duanqing Xu
2023	A*	`conf`	DuDoINet: Dual-Domain Implicit Network for Multi-Modality MR Image Arbitrary-scale Super-Resolution. ACM Multimedia Guangyuan Li, Wei Xing, Lei Zhao, Zehua Lan, Zhanjie Zhang, Jiakai Sun, Haolin Yin, Huaizhong Lin, Zhijie Lin
2023	A*	`conf`	Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning. AAAI Zhiwen Zuo, Lei Zhao, Ailin Li, Zhizhong Wang, Zhanjie Zhang, Jiafu Chen, Wei Xing, Dongming Lu
2023	J	`jnl`	Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning. CoRR Zhiwen Zuo, Lei Zhao, Ailin Li, Zhizhong Wang, Zhanjie Zhang, Jiafu Chen, Wei Xing, Dongming Lu
2023	J	`jnl`	Joint Optimization of Triangle Mesh, Material, and Light from Neural Fields with Neural Radiance Cache. CoRR Jiakai Sun, Zhanjie Zhang, Tianyi Chu, Guangyuan Li, Lei Zhao, Wei Xing
2023	A*	`conf`	Rethinking Multi-Contrast MRI Super-Resolution: Rectangle-Window Cross-Attention Transformer and Arbitrary-Scale Upsampling. ICCV Guangyuan Li, Lei Zhao, Jiakai Sun, Zehua Lan, Zhanjie Zhang, Jiafu Chen, Zhijie Lin, Huaizhong Lin, Wei Xing
2023	A*	`conf`	Self-Reference Image Super-Resolution via Pre-trained Diffusion Large Model and Window Adjustable Transformer. ACM Multimedia Guangyuan Li, Wei Xing, Lei Zhao, Zehua Lan, Jiakai Sun, Zhanjie Zhang, Quanwei Zhang, Huaizhong Lin, Zhijie Lin
2023	A*	`conf`	TeSTNeRF: Text-Driven 3D Style Transfer via Cross-Modal Learning. IJCAI Jiafu Chen, Boyan Ji, Zhanjie Zhang, Tianyi Chu, Zhiwen Zuo, Lei Zhao, Wei Xing, Dongming Lu
2023	A*	`conf`	VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs. IJCAI Jiakai Sun, Zhanjie Zhang, Jiafu Chen, Guangyuan Li, Boyan Ji, Lei Zhao, Wei Xing
2023	J	`jnl`	VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs. CoRR Jiakai Sun, Zhanjie Zhang, Jiafu Chen, Guangyuan Li, Boyan Ji, Lei Zhao, Wei Xing
2022	A*	`conf`	AesUST: Towards Aesthetic-Enhanced Universal Style Transfer. ACM Multimedia Zhizhong Wang, Zhanjie Zhang, Lei Zhao, Zhiwen Zuo, Ailin Li, Wei Xing, Dongming Lu
2022	J	`jnl`	AesUST: Towards Aesthetic-Enhanced Universal Style Transfer. CoRR Zhizhong Wang, Zhanjie Zhang, Lei Zhao, Zhiwen Zuo, Ailin Li, Wei Xing, Dongming Lu
2022	J	`jnl`	Gating PatternPyramid for diversified image style transfer. J. Electronic Imaging Fan Yang, Haibo Chen, Zhanjie Zhang, Lei Zhao, Huaizhong Lin

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.