Fang Meng - RankMe

32 papers A 1B 1Misc 1Journal 8Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MQSF-AC: Multi-Q with selective forgetting actor-critic for robot path planning. Appl. Intell. Yuwan Gu, Yan Chen, Fang Meng, Ronghai Miao, Jie Hao, Jidong Lv
2026	J	`jnl`	MSSEAC: Multi-State Soft Elastic Actor-Critic. Concurr. Comput. Pract. Exp. Yuwan Gu, Jie Hao, Fang Meng, Yan Chen, Ronghai Miao, Jidong Lv
2025	J	`jnl`	Overcoming Value overestimation for Distributional Reinforcement Learning-based Path Planning with conservative Constraints. Int. J. Robotics Autom. Yuwan Gu, Yongtao Chu, Fang Meng, Yan Chen, Jidong Lv, Shoukun Xu
2024	J	`jnl`	Curriculum Learning with Quality-Driven Data Selection. CoRR Biao Wu, Fang Meng, Ling Chen
2024	J	`jnl`	SwinMin: A mineral recognition model incorporating convolution and multi-scale contexts into swin transformer. Comput. Geosci. Liqin Jia, Feng Chen, Mei Yang, Fang Meng, Mingyue He, Hongmin Liu
2022	—	`conf`	Enhanced Video Caption Model Based on Text Attention Mechanism. DSIT Yan Ma, Fang Meng
2022	—	`conf`	Fast Image Super-Resolution Based on Multi-Feature Extraction Network. IVSP Rui Tang, Fang Meng
2020	—	`conf`	A Saliency-based Weakly-supervised Network for Fine-Grained Image Categorization. CISP-BMEI Yawen Han, Fang Meng
2020	—	`conf`	Analysis of Consumer Supermarket Shopping Behaviors Based on Eye Movement Information. CISP-BMEI Minzhi Gao, Fang Meng, Yan Meng
2020	—	`conf`	Community Discovery Algorithm Based on Parallel Recommendation in Cloud Computing. ADHIP (2) Jian-li Zhai, Fang Meng
2020	—	`conf`	No-reference Image Quality Assessment Based on a Multi-feature Extraction Network. IVSP Hainan Zhang, Fang Meng, Yawen Han
2020	—	`conf`	Web Database Sharing Platform Design Based on Large Data Visualization of Learning Behavior. ICMTEL Fang Meng, Guo-gen Fan
2019	—	`conf`	Semi-Auto Sketch Colorization Based on Conditional Generative Adversarial Networks. CISP-BMEI Zijuan Cheng, Fang Meng, Jingbo Mao
2018	—	`conf`	A Novel Video Segmentation System Based on Viewpoints. CISP-BMEI Zijuan Cheng, Fang Meng
2018	—	`conf`	An Opinion-Free Image Quality Analyzer in the Spatial Domain. CISP-BMEI Xiyu Huang, Fang Meng, Xuan Wang
2018	—	`conf`	Visual Behaviors Analysis Based on Eye Tracker in Subjective Image Quality Assessment. CISP-BMEI Xuan Wang, Fang Meng, Xiyu Huang
2017	—	`conf`	An evaluation method of web energy based on content tendency and users' focus. ICSAI Nannan Meng, Fang Meng
2017	—	`conf`	Analysis on the validity of eye movement data during video viewing. CISP-BMEI Ying Xu, Su-ting Xu, Xing-tong Liu, Fang Meng
2017	J	`jnl`	Improving performance of tensor-based context-aware recommenders using Bias Tensor Factorization with context feature auto-encoding. Knowl. Based Syst. Wenmin Wu, Jianli Zhao, Chunsheng Zhang, Fang Meng, Zeli Zhang, Yang Zhang, Qiuxia Sun
2016	—	`conf`	An error-controlled method for superpixel segmentation. CISP-BMEI Nannan Meng, Fang Meng, Meng Chen
2015	B	`conf`	Saliency detection using a background probability model. ICIP Junling Li, Fang Meng, Yichun Zhang
2014	—	`conf`	An improved image retrieval method based on SIFT algorithm and saliency map. FSKD Jing Liu, Fang Meng, Fangcheng Mu, Yichun Zhang
2014	—	`conf`	Saliency detection on videos with scene change. ICAILP Junling Li, Fang Meng, Jingbo Mao
2014	—	`conf`	The contrast experiment on visual attention regions and saliency maps based on the eye tracker. FSKD Yujie Zheng, Xuliu Lan, Junling Li, Fang Meng
2007	A	`conf`	Objective Perceptual Video Quality Measurement using a Foveation-Based Reduced Reference Algorithm. ICME Fang Meng, Xiuhua Jiang, Hui Sun, Shuang Yang
2006	J	`jnl`	Fabrication and application of silicon-reinforced PDMS masters. Microelectron. J. Cheng Luo, Fang Meng, Anand Francis
2006	J	`jnl`	Reinforcement of a PDMS master using an oxide-coated silicon plate. Microelectron. J. Cheng Luo, Fang Meng, Xinchuan Liu, Yiyun Guo
2005	Misc	`conf`	Simplification of Fan-Meshes Models for Fast Rendering of Large 3D Point-Sampled Scenes. ICIAP Xiaotian Yan, Fang Meng, Hongbin Zha
2004	—	`conf`	An Easy Viewer for Out-of-Core Visualization of Huge Point-Sampled Models. 3DPVT Fang Meng, Hongbin Zha
2004	—	`conf`	Fan-Meshes: A Geometric Primitive for Point-Based Description of 3D Models and Scenes. 3DPVT Xiaotian Yan, Fang Meng, Hongbin Zha
2003	—	`conf`	Efficient streaming of point-based models for interactive 3-D geometry transmission. CIRA Fang Meng, Hongbin Zha
2003	—	`conf`	Streaming Transmission of Point-Sampled Geometry Based on View-Dependent Level-of-Detail. 3DIM Fang Meng, Hongbin Zha

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.