Yadong Niu - RankMe

24 papers A 3Misc 1Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ACAVCaps: Enabling large-scale training for fine-grained and diverse audio understanding. CoRR Yadong Niu, Tianzi Wang, Heinrich Dinkel, Xingwei Sun, Jiahao Zhou, Gang Li, Jizhong Liu, Junbo Zhang, Jian Luan
2026	J	`jnl`	Abaqus-Based Virtual Sensor for Runway Friction: Regression Model Development and Validation Using Tire Parameters. IEEE Access Yadong Niu, Huabo Zhu, Wei Zhou, Jun Zhang
2026	J	`jnl`	DashengTokenizer: One layer is enough for unified audio understanding and generation. CoRR Heinrich Dinkel, Xingwei Sun, Gang Li, Jiahao Mei, Yadong Niu, Jizhong Liu, Xiyang Li, Yifan Liao, Jiahao Zhou, Junbo Zhang, Jian Luan
2026	J	`jnl`	The Interspeech 2026 Audio Encoder Capability Challenge for Large Audio Language Models. CoRR Heinrich Dinkel, Jiahao Zhou, Guanbo Wang, Yadong Niu, Junbo Zhang, Yufeng Hao, Ying Liu, Ke Li, Wenwu Wang, Zhiyong Wu, Jian Luan
2026	J	`jnl`	The impacts of temporal autocorrelations on EEG decoding. Biomed. Signal Process. Control. Xiran Xu, Bo Wang, Boda Xiao, Yadong Niu, Yiwen Wang, Xihong Wu, Heping Cheng, Jing Chen
2025	A	`conf`	Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders. INTERSPEECH Xingwei Sun, Heinrich Dinkel, Yadong Niu, Linzhang Wang, Junbo Zhang, Jian Luan
2025	J	`jnl`	Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders. CoRR Xingwei Sun, Heinrich Dinkel, Yadong Niu, Linzhang Wang, Junbo Zhang, Jian Luan
2025	J	`jnl`	GLAP: General contrastive audio-text pretraining across domains and languages. CoRR Heinrich Dinkel, Zhiyong Yan, Tianzi Wang, Yongqing Wang, Xingwei Sun, Yadong Niu, Jizhong Liu, Gang Li, Junbo Zhang, Jian Luan
2025	J	`jnl`	MECAT: A Multi-Experts Constructed Benchmark for Fine-Grained Audio Understanding Tasks. CoRR Yadong Niu, Tianzi Wang, Heinrich Dinkel, Xingwei Sun, Jiahao Zhou, Gang Li, Jizhong Liu, Xunying Liu, Junbo Zhang, Jian Luan
2025	J	`jnl`	MiDashengLM: Efficient Audio Understanding with General Audio Captions. CoRR Heinrich Dinkel, Gang Li, Jizhong Liu, Jian Luan, Yadong Niu, Xingwei Sun, Tianzi Wang, Qiyang Xiao, Junbo Zhang, Jiahao Zhou
2025	J	`jnl`	Reinforcement Learning Outperforms Supervised Fine-Tuning: A Case Study on Audio Question Answering. CoRR Gang Li, Jizhong Liu, Heinrich Dinkel, Yadong Niu, Junbo Zhang, Jian Luan
2025	A	`conf`	StarVC: A Unified Auto-Regressive Framework for Joint Text and Speech Generation in Voice Conversion. INTERSPEECH Fengjin Li, Jie Wang, Yadong Niu, Yongqing Wang, Meng Meng, Jian Luan, Zhiyong Wu
2025	J	`jnl`	StarVC: A Unified Auto-Regressive Framework for Joint Text and Speech Generation in Voice Conversion. CoRR Fengjin Li, Jie Wang, Yadong Niu, Yongqing Wang, Meng Meng, Jian Luan, Zhiyong Wu
2025	J	`jnl`	The ICME 2025 Audio Encoder Capability Challenge. CoRR Junbo Zhang, Heinrich Dinkel, Qiong Song, Helen Wang, Yadong Niu, Si Cheng, Xiaofeng Xin, Ke Li, Wenwu Wang, Yujun Wang, Jian Luan
2025	A	`conf`	X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance. INTERSPEECH Junbo Zhang, Heinrich Dinkel, Yadong Niu, Chenyu Liu, Si Cheng, Anbei Zhao, Jian Luan
2025	J	`jnl`	X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance. CoRR Junbo Zhang, Heinrich Dinkel, Yadong Niu, Chenyu Liu, Si Cheng, Anbei Zhao, Jian Luan
2024	—	`conf`	A Spectral Change Enhancement Method Based on Self-Supervised Learning Framework. ISCSLP Nan Li, Yadong Niu, Liushuai Yuan, Xihong Wu, Jing Chen
2024	J	`jnl`	Research on Estimation Method for Airport Runway Friction Coefficient Based on Numerical Analysis. IEEE Access Yadong Niu, Xuedong Yu, Huabo Zhu, Wei Zhou
2023	Misc	`conf`	A Model-Based Hearing Compensation Method Using a Self-Supervised Framework. ICASSP Yadong Niu, Nan Li, Xihong Wu, Jing Chen
2022	J	`jnl`	Modeling and Analysis of Runway Friction Coefficient Prediction Methods Based on Multivariable Coupling. IEEE Trans. Instrum. Meas. Yadong Niu, Xuewen Lu, Xingyu Li, Wanyun Su, Zhaozong Meng, Sixiang Zhang
2021	J	`jnl`	Techniques and Methods for Runway Friction Measurement: A Review of State of the Art. IEEE Trans. Instrum. Meas. Yadong Niu, Xiaoyan Jiang, Fanqin Meng, Rui Wang, Guoming Ju, Sixiang Zhang, Zhaozong Meng
2020	J	`jnl`	Estimation for Runway Friction Coefficient Based on Multi-Sensor Information Fusion and Model Correlation. Sensors Yadong Niu, Sixiang Zhang, Guangjun Tian, Huabo Zhu, Wei Zhou
2018	—	`conf`	Improvement on Speech Emotion Recognition Based on Deep Convolutional Neural Networks. ICCAI Yafeng Niu, Dongsheng Zou, Yadong Niu, Zhongshi He, Hua Tan
2017	J	`jnl`	A breakthrough in Speech emotion recognition using Deep Retinal Convolution Neural Networks. CoRR Yafeng Niu, Dongsheng Zou, Yadong Niu, Zhongshi He, Hua Tan

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.