Tao Bi - RankMe

17 papers A* 2B 1Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	The RepairBot Framework: Touch-Aware Conversational Agent for Hands-on Clothes Repair. CHI Yifu Liu, Tao Bi, Chuang Yu, Lucie F. Hernandez, Bruna Beatriz Petreca, Minna Nygren, Sharon Baurley, Youngjun Cho, Nadia Berthouze
2025	J	`jnl`	RunMe: An Adaptive Sound System for Running Meditation. ACM Trans. Comput. Hum. Interact. Peng Tan, Xiaofei Zhu, Tao Bi, Xiangshi Ren
2022	—	`conf`	A Taxonomy of Noise in Voice Self-reports while Running. UbiComp/ISWC Adjunct Tao Bi, Temitayo A. Olugbade, Akhil Mathur, Catherine Holloway, Aneesha Singh, Enrico Costanza, Nadia Berthouze
2022	—	`conf`	I See What You See! Towards Augmented Joint Visual Attention between Beginner and Instructor Surfers. NTSPORT@MobileHCI Tao Bi
2021	—	`conf`	Towards Chatbot-Supported Self-Reporting for Increased Reliability and Richness of Ground Truth for Automatic Pain Recognition: Reflections on Long-Distance Runners and People with Chronic Pain. ICMI Companion Tao Bi, Raffaele Andrea Buono, Temitayo A. Olugbade, Aneesha Singh, Catherine Holloway, Enrico Costanza, Amanda C. de C. Williams, Nicolas E. Gold, Nadia Berthouze
2020	J	`jnl`	Micro-attention for micro-expression recognition. Neurocomputing Chongyang Wang, Min Peng, Tao Bi, Tong Chen
2020	J	`jnl`	Recognizing Micro-expression in Video Clip with Adaptive Key-frame Mining. CoRR Min Peng, Chongyang Wang, Yuan Gao, Tao Bi, Tong Chen, Yu Shi, Xiang-Dong Zhou
2019	B	`conf`	A Novel Apex-Time Network for Cross-Dataset Micro-Expression Recognition. ACII Min Peng, Chongyang Wang, Tao Bi, Yu Shi, Xiangdong Zhou, Tong Chen
2019	J	`jnl`	A Novel Apex-Time Network for Cross-Dataset Micro-Expression Recognition. CoRR Min Peng, Chongyang Wang, Tao Bi, Tong Chen, Xiangdong Zhou, Yu Shi
2019	J	`jnl`	Characterizing HCI Research in China: Streams, Methodologies and Future Directions. CoRR Tao Bi, Yiyi Zhang, Chongyang Wang, Amid Ayobi
2019	A*	`conf`	Understanding the Shared Experience of Runners and Spectators in Long-Distance Running Events. CHI Tao Bi, Nadia Bianchi-Berthouze, Aneesha Singh, Enrico Costanza
2019	—	`conf`	Wearable Sensing Technology for Capturing and Sharing Emotional Experience of Running. ACII Workshops Tao Bi
2018	J	`jnl`	Micro-Attention for Micro-Expression recognition. CoRR Chongyang Wang, Min Peng, Tao Bi, Tong Chen
2016	J	`jnl`	Intraday Serial Correlation, Volatility, and Jump: Evidence from China's Stock Market. Commun. Stat. Simul. Comput. Bo Zhang, Tao Bi
2014	—	`conf`	Trading volume, realized volatility and signed jump: Evidence form China's stock market. BESC Tao Bi, Gong Cheng
2013	J	`jnl`	Measuring Downside Risk Using High-Frequency Data: Realized Downside Risk Measure. Commun. Stat. Simul. Comput. Tao Bi, Bo Zhang, Huishan Wu
2011	J	`jnl`	Dynamics of Intraday Serial Correlation in China's Stock Market. Commun. Stat. Simul. Comput. Tao Bi, Bo Zhang, Rong Xu

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.