Zengqiang Shang

26 papers A 5C 1Misc 3Journal 9Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Controlling your Attributes in Voice. CoRR Xuyuan Li, Zengqiang Shang, Li Wang, Pengyuan Zhang
2025	J	`jnl`	Emilia: A Large-Scale, Extensive, Multilingual, and Diverse Dataset for Speech Generation. CoRR Haorui He, Zengqiang Shang, Chaoren Wang, Xuyuan Li, Yicheng Gu, Hua Hua, Liwei Liu, Chen Yang, Jiaqi Li, Peiyang Shi, Yuancheng Wang, Kai Chen, Pengyuan Zhang, Zhizheng Wu
2025	J	`jnl`	Flexpéro: Flexible Expressive Zero-Shot Speech Refinement via In-Context Learning. IEEE Signal Process. Lett. Hua Hua, Zengqiang Shang, Xuyuan Li, Chen Yang, Pengyuan Zhang
2025	J	`jnl`	Leveraging distance information for generalized spoofing speech detection. Comput. Speech Lang. Jingze Lu, Yuxiang Zhang, Zhuo Li, Zengqiang Shang, Wenchao Wang, Pengyuan Zhang
2025	C	`conf`	Pitch-Assistant Harmonic Recovery for Efficient Speech Enhancement. ASRU Biao Liu, Zengqiang Shang, Haoyuan Xie, Mou Wang, Xin Liu, Pengyuan Zhang
2025	A	`conf`	Restoring Harmonics: Enhancing Speech Quality with Deep Mask and Harmonic Restoration Network. INTERSPEECH Yu Zhao, Zengqiang Shang, Mou Wang, Xin Liu, Pengyuan Zhang
2024	—	`conf`	Emilia: An Extensive, Multilingual, and Diverse Speech Dataset For Large-Scale Speech Generation. SLT Haorui He, Zengqiang Shang, Chaoren Wang, Xuyuan Li, Yicheng Gu, Hua Hua, Liwei Liu, Chen Yang, Jiaqi Li, Peiyang Shi, Yuancheng Wang, Kai Chen, Pengyuan Zhang, Zhizheng Wu
2024	J	`jnl`	Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation. CoRR Haorui He, Zengqiang Shang, Chaoren Wang, Xuyuan Li, Yicheng Gu, Hua Hua, Liwei Liu, Chen Yang, Jiaqi Li, Peiyang Shi, Yuancheng Wang, Kai Chen, Pengyuan Zhang, Zhizheng Wu
2024	A	`conf`	Expressive paragraph text-to-speech synthesis with multi-step variational autoencoder. INTERSPEECH Xuyuan Li, Zengqiang Shang, Peiyang Shi, Hua Hua, Ta Li, Pengyuan Zhang
2024	A	`conf`	Improving Copy-Synthesis Anti-Spoofing Training Method with Rhythm and Speaker Perturbation. INTERSPEECH Jingze Lu, Yuxiang Zhang, Zhuo Li, Zengqiang Shang, Wenchao Wang, Pengyuan Zhang
2024	Misc	`conf`	Improving Short Utterance Anti-Spoofing with Aasist2. ICASSP Yuxiang Zhang, Jingze Lu, Zengqiang Shang, Wenchao Wang, Pengyuan Zhang
2024	Misc	`conf`	One-Class Knowledge Distillation for Spoofing Speech Detection. ICASSP Jingze Lu, Yuxiang Zhang, Wenchao Wang, Zengqiang Shang, Pengyuan Zhang
2024	J	`jnl`	SF-Speech: Straightened Flow for Zero-Shot Voice Clone on Small-Scale Dataset. CoRR Xuyuan Li, Zengqiang Shang, Hua Hua, Peiyang Shi, Chen Yang, Li Wang, Pengyuan Zhang
2023	—	`conf`	Description of a Multi-Stage Audio Spoofing System in ADD Challenge 2023. DADA@IJCAI Hua Hua, Jingze Lu, Peiyang Shi, Zengqiang Shang, Yuxiang Zhang, Xuyuan Li, Pengyuan Zhang
2023	—	`conf`	Detecting Unknown Speech Spoofing Algorithms with Nearest Neighbors. DADA@IJCAI Jingze Lu, Yuxiang Zhang, Zhuo Li, Zengqiang Shang, Wenchao Wang, Pengyuan Zhang
2023	J	`jnl`	Expressive paragraph text-to-speech synthesis with multi-step variational autoencoder. CoRR Xuyuan Li, Zengqiang Shang, Jian Liu, Hua Hua, Peiyang Shi, Pengyuan Zhang
2023	J	`jnl`	Improving Short Utterance Anti-Spoofing with AASIST2. CoRR Yuxiang Zhang, Jingze Lu, Zengqiang Shang, Wenchao Wang, Pengyuan Zhang
2023	—	`conf`	Improving the Robustness of Deepfake Audio Detection through Confidence Calibration. DADA@IJCAI Yuxiang Zhang, Jingze Lu, Zhuo Li, Zengqiang Shang, Wenchao Wang, Pengyuan Zhang
2023	J	`jnl`	One-Class Knowledge Distillation for Spoofing Speech Detection. CoRR Jingze Lu, Yuxiang Zhang, Wenchao Wang, Zengqiang Shang, Pengyuan Zhang
2023	—	`conf`	The IOA-ThinkIT system for Blizzard Challenge 2023. Blizzard Challenge Zengqiang Shang, Xuyuan Li, Peiyang Shi, Hua Hua, Pengyuan Zhang
2022	—	`conf`	A Mandarin Prosodic Boundary Prediction Model Based on Multi-Source Semi-Supervision. ISCSLP Peiyang Shi, Zengqiang Shang, Pengyuan Zhang
2021	A	`conf`	Incorporating Cross-Speaker Style Transfer for Multi-Language Text-to-Speech. Interspeech Zengqiang Shang, Zhihua Huang, Haozhe Zhang, Pengyuan Zhang, Yonghong Yan
2021	A	`conf`	LinearSpeech: Parallel Text-to-Speech with Linear Complexity. Interspeech Haozhe Zhang, Zhihua Huang, Zengqiang Shang, Pengyuan Zhang, Yonghong Yan
2021	—	`conf`	The IOA-ThinkIT system for Blizzard Challenge 2021. Blizzard Challenge Zengqiang Shang, Ziyi Chen, Haozhe Zhang, Pengyuan Zhang
2021	Misc	`conf`	The Thinkit System for Icassp2021 M2voc Challenge. ICASSP Zengqiang Shang, Haozhe Zhang, Ziyi Chen, Bolin Zhou, Pengyuan Zhang
2019	—	`conf`	The IOA-ThinkIT system for Blizzard Challenge 2019. Blizzard Challenge Ruimin Wang, Chunhui Lu, Xiaoyang Hao, Bolin Zhou, Zengqiang Shang, Pengyuan Zhang

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.