Edward F. Chang

35 papers A* 2Misc 4Journal 17Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Emergent morpho-phonological representations in self-supervised speech models. EMNLP Jon Gauthier, Canaan Breiss, Matthew K. Leonard, Edward F. Chang
2025	J	`jnl`	Emergent morpho-phonological representations in self-supervised speech models. CoRR Jon Gauthier, Canaan Breiss, Matthew K. Leonard, Edward F. Chang
2024	Misc	`conf`	Do Self-Supervised Speech and Language Models Extract Similar Representations as Human Brain? ICASSP Peili Chen, Linyang He, Li Fu, Lu Fan, Edward F. Chang, Yuanning Li
2024	Misc	`conf`	Neural2speech: A Transfer Learning Framework for Neural-Driven Speech Reconstruction. ICASSP Jiawei Li, Chunxu Guo, Li Fu, Lu Fan, Edward F. Chang, Yuanning Li
2023	J	`jnl`	Do self-supervised speech and language models extract similar representations as human brain? CoRR Peili Chen, Linyang He, Li Fu, Lu Fan, Edward F. Chang, Yuanning Li
2023	—	`conf`	Identification of Neural Biomarkers of Major Depressive Disorder Symptom Severity Using Computerized Linguistic Analysis. NER Daniela A. Astudillo Maya, Kristin K. Sellers, Noah Stapper, Ankit N. Khambhati, Catherine Henderson, Joline Fan, Vikram Rao, Katherine W. Scangos, Edward F. Chang, Andrew D. Krystal
2023	A*	`conf`	Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data. ICML Cheol Jun Cho, Edward F. Chang, Gopala Krishna Anumanchipalli
2023	J	`jnl`	Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data. CoRR Cheol Jun Cho, Edward F. Chang, Gopala Krishna Anumanchipalli
2023	J	`jnl`	Neural2Speech: A Transfer Learning Framework for Neural-Driven Speech Reconstruction. CoRR Jiawei Li, Chunxu Guo, Li Fu, Lu Fan, Edward F. Chang, Yuanning Li
2019	J	`jnl`	Brain2Char: A Deep Architecture for Decoding Text from Brain Recordings. CoRR Pengfei Sun, Gopala Krishna Anumanchipalli, Edward F. Chang
2019	—	`conf`	Comparison of Common Artifact Rejection Methods applied to Direct Cortical and Peripheral Stimulation in Human ECoG. NER Kristin K. Sellers, William L. Schuerman, Heather E. Dawes, Edward F. Chang, Matthew K. Leonard
2019	—	`conf`	Decoding Natural Positive Emotional Behaviors from Human Fronto-Temporal Mesolimbic Structures. NER Maryam Bijanzadeh, Maansi Desai, Deanna L. Wallace, Nikhita Mummaneni, Nikhita Kunwar, Heather E. Dawes, Edward F. Chang
2019	J	`jnl`	Deep learning as a tool for neural data analysis: Speech classification and cross-frequency coupling in human sensorimotor cortex. PLoS Comput. Biol. Jesse A. Livezey, Kristofer E. Bouchard, Edward F. Chang
2019	Misc	`conf`	Emotion Discrimination through Electrode Network Connectivity Pattern Recognition. ACSSC Qi Cheng, Alan David Kaplan, Piyush Karande, Maryam Bijanzadeh, Heather E. Dawes, Edward F. Chang
2019	—	`conf`	HDMF: Hierarchical Data Modeling Framework for Modern Science Data Standards. IEEE BigData Andrew J. Tritt, Oliver Rübel, Benjamin K. Dichter, Ryan Ly, Donghe Kang, Edward F. Chang, Loren M. Frank, Kristofer E. Bouchard
2019	Misc	`conf`	Localization of Emotional Affect in Electrocorticography Using a Model Based Discrimination Measure. ACSSC Alan David Kaplan, Qi Cheng, Piyush Karande, Elizabeth Tran, Maryam Bijanzadeh, Heather E. Dawes, Edward F. Chang
2019	J	`jnl`	Modeling neural dynamics during speech production using a state space variational autoencoder. CoRR Pengfei Sun, David A. Moses, Edward F. Chang
2019	J	`jnl`	On Neural Phone Recognition of Mixed-Source ECoG Signals. CoRR Ahmed Hussen Abdelaziz, Shuo-Yiin Chang, Nelson Morgan, Erik Edwards, Dorothea Kolossa, Dan Ellis, David A. Moses, Edward F. Chang
2018	J	`jnl`	Closed-Loop Deep Brain Stimulation for Refractory Chronic Pain. Frontiers Comput. Neurosci. Prasad Shirvalkar, Tess L. Veuthey, Heather E. Dawes, Edward F. Chang
2018	J	`jnl`	Deep learning as a tool for neural data analysis: speech classification and cross-frequency coupling in human sensorimotor cortex. CoRR Jesse A. Livezey, Kristofer E. Bouchard, Edward F. Chang
2018	J	`jnl`	Selective Interference with Syntactic Encoding during Sentence Production by Direct Electrocortical Stimulation of the Inferior Frontal Gyrus. J. Cogn. Neurosci. Edward F. Chang, Garret Kurteff, Stephen M. Wilson
2018	J	`jnl`	Spiking Linear Dynamical Systems on Neuromorphic Hardware for Low-Power Brain-Machine Interfaces. CoRR David G. Clark, Jesse A. Livezey, Edward F. Chang, Kristofer E. Bouchard
2017	J	`jnl`	Chronic ambulatory electrocorticography from human speech cortex. NeuroImage Vikram Rao, Matthew K. Leonard, Jonathan K. Kleen, Ben A. Lucas, Emily A. Mirro, Edward F. Chang
2017	—	`conf`	Dynamic tracking of non-stationarity in human ECoG activity. EMBC Yuxiao Yang, Edward F. Chang, Maryam Modir Shanechi
2017	J	`jnl`	Multi-scale visual analysis of time-varying electrocorticography data via clustering of brain regions. BMC Bioinform. Sugeerth Murugesan, Kristofer E. Bouchard, Edward F. Chang, Max Dougherty, Bernd Hamann, Gunther H. Weber
2017	J	`jnl`	Semi-automated Anatomical Labeling and Inter-subject Warping of High-Density Intracranial Recording Electrodes in Electrocorticography. Frontiers Neuroinformatics Liberty S. Hamilton, David L. Chang, Morgan B. Lee, Edward F. Chang
2017	—	`conf`	Sparse coding of ECoG signals identifies interpretable components for speech control in human sensorimotor cortex. EMBC Kristofer E. Bouchard, Alejandro F. Bujan, Edward F. Chang, Friedrich T. Sommer
2017	—	`conf`	Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction. NIPS Kristofer E. Bouchard, Alejandro F. Bujan, Farbod Roosta-Khorasani, Shashanka Ubaru, Prabhat, Antoine Snijders, Jian-Hua Mao, Edward F. Chang, Michael W. Mahoney, Sharmodeep Bhattacharyya
2016	—	`conf`	Decoding speech using the timing of neural signal modulation. EMBC Werner Jiang, Tejaswy Pailla, Benjamin K. Dichter, Edward F. Chang, Vikash Gilja
2016	—	`conf`	ECoG data analyses to inform closed-loop BCI experiments for speech-based prosthetic applications. EMBC Tejaswy Pailla, Werner Jiang, Benjamin K. Dichter, Edward F. Chang, Vikash Gilja
2016	—	`conf`	Hierarchical Spatio-temporal Visual Analysis of Cluster Evolution in Electrocorticography Data. BCB Sugeerth Murugesan, Kristofer E. Bouchard, Edward F. Chang, Max Dougherty, Bernd Hamann, Gunther H. Weber
2016	J	`jnl`	Methods for Specifying Scientific Data Standards and Modeling Relationships with Applications to Neuroscience. Frontiers Neuroinformatics Oliver Rübel, Max Dougherty, Prabhat, Peter Denes, David Conant, Edward F. Chang, Kristofer E. Bouchard
2016	—	`conf`	Thin-film, high-density micro-electrocorticographic decoding of a human cortical gyrus. EMBC Leah Muller, Sarah H. Felix, Kedar G. Shah, Kye Young Lee, Satinderpall Pannu, Edward F. Chang
2014	—	`conf`	Neural decoding of spoken vowels from human sensory-motor cortex with high-density electrocorticography. EMBC Kristofer E. Bouchard, Edward F. Chang
2011	J	`jnl`	Cortical Spatio-temporal Dynamics Underlying Phonological Target Detection in Humans. J. Cogn. Neurosci. Edward F. Chang, Erik Edwards, Srikantan S. Nagarajan, Noa Fogelson, Sarang S. Dalal, Ryan T. Canolty, Heidi E. Kirsch, Nicholas M. Barbaro, Robert T. Knight

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.