Qingtian Zhang

26 papers A 1B 1Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	13.1 HYDAR: A 390K QPS, 1574K QPS/W Hybrid Analog/Digital Compute-in-RRAM Accelerator for Efficient Recommendation System. ISSCC Jiaming Li, Peng Yao, Xueqi Li, Zhenqi Hao, Dabin Wu, Zhouzheng Li, Haishu Xianyu, Lin Li, Shujuan You, Taiwei Chiu, Maojia Sheng, Wei Yang, Qingtian Zhang, Jianshi Tang, He Qian, Bin Gao, Huaqiang Wu
2025	J	`jnl`	A RRAM-Based CIM Design With in-Situ Transposable Computing and Hybrid-Precision Scheme for Edge Learning. IEEE Solid State Circuits Lett. Qiumeng Wei, Peng Yao, Dong Wu, Qi Qin, Bin Gao, Qingtian Zhang, Sining Pan, Jianshi Tang, He Qian, Lu Jie, Huaqiang Wu
2025	J	`jnl`	Deep Bayesian active learning using in-memory computing hardware. Nat. Comput. Sci. Yudeng Lin, Bin Gao, Jianshi Tang, Qingtian Zhang, He Qian, Huaqiang Wu
2025	J	`jnl`	Reducing Influence of Noise in Regression Problems on Memristor Computing-in-Memory Chips. IEEE Access Hao Tang, Lu Liu, Zhouzheng Li, Zhiping Jia, Qingtian Zhang
2024	J	`jnl`	A New Fingerprint and Graph Hybrid Neural Network for Predicting Molecular Properties. J. Chem. Inf. Model. Qingtian Zhang, Dangxin Mao, Yusong Tu, Yuan-Yan Wu
2024	J	`jnl`	Improving model robustness to weight noise via consistency regularization. Mach. Learn. Sci. Technol. Yaoqi Hou, Qingtian Zhang, Namin Wang, Huaqiang Wu
2024	J	`jnl`	Initial-Boundary Value Problems for Poiseuille Flow of Nematic Liquid Crystal via Full Ericksen-Leslie Model. SIAM J. Math. Anal. Geng Chen, Yanbo Hu, Qingtian Zhang
2024	J	`jnl`	Liquid Metal Chameleon Tongues: Modulating Surface Tension and Phase Transition to Enable Bioinspired Soft Actuators. Adv. Intell. Syst. Hongda Lu, Mengqing Zhao, Qingtian Zhang, Jiayi Yang, Zexin Chen, Liping Gong, Xiangbo Zhou, Lei Deng, Haiping Du, Shiwu Zhang, Shi-Yang Tang, Weihua Li
2024	J	`jnl`	Liquid Metal Chameleon Tongues: Modulating Surface Tension and Phase Transition to Enable Bioinspired Soft Actuators. Adv. Intell. Syst. Hongda Lu, Mengqing Zhao, Qingtian Zhang, Jiayi Yang, Zexin Chen, Liping Gong, Xiangbo Zhou, Lei Deng, Haiping Du, Shiwu Zhang, Shi-Yang Tang, Weihua Li
2023	J	`jnl`	A 1-Mb Programming Configurable ReRAM Fully Integrating Into a 32-Bit Microcontroller Unit. IEEE Trans. Circuits Syst. II Express Briefs Hanwen Gong, Hu He, Bin Gao, Jianshi Tang, Jian Yu, Dabin Wu, Junren Chen, Qingtian Zhang, Xing Mou, He Qian, Huaqiang Wu
2023	J	`jnl`	A High-Speed and High-Efficiency Diverse Error Margin Write-Verify Scheme for an RRAM-Based Neuromorphic Hardware Accelerator. IEEE Trans. Circuits Syst. II Express Briefs Yudeng Lin, Jianshi Tang, Bin Gao, Qi Qin, Qingtian Zhang, He Qian, Huaqiang Wu
2023	—	`conf`	ACCLAIM: An End-to-End SystemC-AMS Simulation Framework for Analog In-Memory-Computing. ICTA Hanwen Gong, Hu He, Bin Gao, Jianshi Tang, Qingtian Zhang, He Qian, Huaqiang Wu
2023	J	`jnl`	An RRAM retention prediction framework using a convolutional neural network based on relaxation behavior. Neuromorph. Comput. Eng. Yibei Zhang, Qingtian Zhang, Qi Qin, Wenbin Zhang, Yue Xi, Zhixing Jiang, Jianshi Tang, Bin Gao, He Qian, Huaqiang Wu
2023	J	`jnl`	BETTER: Bayesian-Based Training and Lightweight Transfer Architecture for Reliable and High-Speed Memristor Neural Network Deployment. IEEE Trans. Circuits Syst. II Express Briefs Yudeng Lin, Jianshi Tang, Bin Gao, Qingtian Zhang, He Qian, Huaqiang Wu
2023	J	`jnl`	CLEAR: a full-stack chip-in-loop emulator for analog RRAM based computing-in-memory system. Sci. China Inf. Sci. Ruihua Yu, Wenqiang Zhang, Bin Gao, Yiwen Geng, Peng Yao, Yuyi Liu, Qingtian Zhang, Jianshi Tang, Dong Wu, Hu He, Ning Deng, He Qian, Huaqiang Wu
2023	—	`conf`	Reliability of Memristive Devices for High-Performance Neuromorphic Computing: (Invited Paper). IRPS Yue Xi, Xinyi Li, Junhao Chen, Ruofei Hu, Qingtian Zhang, Zhixing Jiang, Feng Xu, Jianshi Tang
2023	J	`jnl`	Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning. Nat. Mac. Intell. Yudeng Lin, Qingtian Zhang, Bin Gao, Jianshi Tang, Peng Yao, Chongxuan Li, Shiyu Huang, Zhengwu Liu, Ying Zhou, Yuyi Liu, Wenqiang Zhang, Jun Zhu, He Qian, Huaqiang Wu
2022	B	`conf`	Improving the accuracy of neural networks in analog computing-in-memory systems by analog weight. ICPR Lingjun Dai, Qingtian Zhang, Huaqiang Wu
2022	J	`jnl`	Large-Scale Integrated Flexible Tactile Sensor Array for Sensitive Smart Robotic Touch. CoRR Zhenxuan Zhao, Jianshi Tang, Jian Yuan, Yijun Li, Yuan Dai, Jian Yao, Qingtian Zhang, Sanchuan Ding, Tingyu Li, Ruirui Zhang, Yu Zheng, Zhengyou Zhang, Song Qiu, Qingwen Li, Bin Gao, Ning Deng, He Qian, Fei Xing, Zheng You, Huaqiang Wu
2021	A	`conf`	An On-chip Layer-wise Training Method for RRAM based Computing-in-memory Chips. DATE Yiwen Geng, Bin Gao, Qingtian Zhang, Wenqiang Zhang, Peng Yao, Yue Xi, Yudeng Lin, Junren Chen, Jianshi Tang, Huaqiang Wu, He Qian
2019	J	`jnl`	A hierarchical sparse coding model predicts acoustic feature encoding in both auditory midbrain and cortex. PLoS Comput. Biol. Qingtian Zhang, Xiaolin Hu, Bo Hong, Bo Zhang
2019	—	`conf`	Reliability Perspective on Neuromorphic Computing Based on Analog RRAM. IRPS Huaqiang Wu, Meiran Zhao, Yuyi Liu, Peng Yao, Yue Xi, Xinyi Li, Wei Wu, Qingtian Zhang, Jianshi Tang, Bin Gao, He Qian
2018	J	`jnl`	Sign backpropagation: An on-chip learning algorithm for analog RRAM neuromorphic computing systems. Neural Networks Qingtian Zhang, Huaqiang Wu, Peng Yao, Wenqiang Zhang, Bin Gao, Ning Deng, He Qian
2017	J	`jnl`	Generic Regularity of Conservative Solutions to Camassa-Holm Type Equations. SIAM J. Math. Anal. Mingjie Li, Qingtian Zhang
2015	J	`jnl`	Comparison of ℓ IEEE Trans. Neural Networks Learn. Syst. Qingtian Zhang, Xiaolin Hu, Bo Zhang
2010	—	`conf`	TTHU-IMG at TRECVID 2010. TRECVID Chen Sun, Jianmin Li, Bo Zhang, Qingtian 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.