Takashi Tsuchiya

62 papers B 1C 1Journal 55Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Spectral dynamics reservoir computing for high-speed hardware-efficient neuromorphic processing. CoRR Jiaxuan Chen, Ryo Iguchi, Sota Hikasa, Takashi Tsuchiya
2024	J	`jnl`	Closing duality gaps of SDPs completely through perturbation when singularity degree is one. Optim. Methods Softw. Takashi Tsuchiya, Bruno F. Lourenço, Masakazu Muramatsu, Takayuki Okuno
2024	J	`jnl`	Fast physical reservoir computing, achieved with nonlinear interfered spin waves. Neuromorph. Comput. Eng. Wataru Namiki, Daiki Nishioka, Takashi Tsuchiya, Kazuya Terabe
2023	J	`jnl`	A Redox-Based Ion-Gating Reservoir, Utilizing Double Reservoir States in Drain and Gate Nonlinear Responses. Adv. Intell. Syst. Tomoki Wada, Daiki Nishioka, Wataru Namiki, Takashi Tsuchiya, Tohru Higuchi, Kazuya Terabe
2023	J	`jnl`	A high-performance deep reservoir computing experimentally demonstrated with ion-gating reservoirs. CoRR Daiki Nishioka, Takashi Tsuchiya, Masataka Imura, Yasuo Koide, Tohru Higuchi, Kazuya Terabe
2023	J	`jnl`	A limiting analysis on regularization of singular SDP and its implication to infeasible interior-point algorithms. Math. Program. Takashi Tsuchiya, Bruno F. Lourenço, Masakazu Muramatsu, Takayuki Okuno
2023	J	`jnl`	Computational Dating for the Nuzi Cuneiform Archive: The Least Squares Constrained by Family Trees and Synchronisms. CoRR Sumie Ueda, Takashi Tsuchiya, Yoshiaki Itoh
2023	J	`jnl`	Enhanced synaptic characteristics of H Neuromorph. Comput. Eng. Daiki Nishioka, Takashi Tsuchiya, Tohru Higuchi, Kazuya Terabe
2023	J	`jnl`	Experimental Demonstration of High-Performance Physical Reservoir Computing with Nonlinear Interfered Spin Wave Multidetection. Adv. Intell. Syst. Wataru Namiki, Daiki Nishioka, Yu Yamaguchi, Takashi Tsuchiya, Tohru Higuchi, Kazuya Terabe
2023	J	`jnl`	Experimental Demonstration of High-Performance Physical Reservoir Computing with Nonlinear Interfered Spin Wave Multidetection. Adv. Intell. Syst. Wataru Namiki, Daiki Nishioka, Yu Yamaguchi, Takashi Tsuchiya, Tohru Higuchi, Kazuya Terabe
2022	J	`jnl`	Edge-Of-Chaos Learning Achieved by Ion-Electron Coupled Dynamics in an Ion-Gating Reservoir. CoRR Daiki Nishioka, Takashi Tsuchiya, Wataru Namiki, Makoto Takayanagi, Masataka Imura, Yasuo Koide, Tohru Higuchi, Kazuya Terabe
2022	J	`jnl`	Experimental Demonstration of High-Performance Physical Reservoir Computing with Nonlinear Interfered Spin Wave Multi-Detection. CoRR Wataru Namiki, Daiki Nishioka, Yu Yamaguchi, Takashi Tsuchiya, Tohru Higuchi, Kazuya Terabe
2021	J	`jnl`	Preface. Optim. Methods Softw. Takashi Tsuchiya, Kokichi Sugihara
2021	J	`jnl`	Solving SDP completely with an interior point oracle. Optim. Methods Softw. Bruno F. Lourenço, Masakazu Muramatsu, Takashi Tsuchiya
2020	J	`jnl`	An Energy-Efficient Task Scheduling for Near Real-Time Systems on Heterogeneous Multicore Processors. IEICE Trans. Inf. Syst. Takashi Nakada, Hiroyuki Yanagihashi, Kunimaro Imai, Hiroshi Ueki, Takashi Tsuchiya, Masanori Hayashikoshi, Hiroshi Nakamura
2020	—	`conf`	Communication Protocol Between Humans and Bank Server Secure Against Man-in-the-Browser Attacks. IHSI Koki Mukaihira, Yasuyoshi Jinno, Takashi Tsuchiya, Tetsushi Ohki, Kenta Takahashi, Wakaha Ogata, Masakatsu Nishigaki
2019	J	`jnl`	An extension of Chubanov's algorithm to symmetric cones. Math. Program. Bruno F. Lourenço, Tomonari Kitahara, Masakazu Muramatsu, Takashi Tsuchiya
2019	J	`jnl`	Implementation of interior-point methods for LP based on Krylov subspace iterative solvers with inner-iteration preconditioning. Comput. Optim. Appl. Yiran Cui, Keiichi Morikuni, Takashi Tsuchiya, Ken Hayami
2018	J	`jnl`	An extension of Chubanov's polynomial-time linear programming algorithm to second-order cone programming. Optim. Methods Softw. Tomonari Kitahara, Takashi Tsuchiya
2018	J	`jnl`	Facial Reduction and Partial Polyhedrality. SIAM J. Optim. Bruno F. Lourenço, Masakazu Muramatsu, Takashi Tsuchiya
2017	C	`conf`	Energy-aware task scheduling for near real-time periodic tasks on heterogeneous multicore processors. VLSI-SoC Takashi Nakada, Hiroyuki Yanagihashi, Hiroshi Nakamura, Kunimaro Imai, Hiroshi Ueki, Takashi Tsuchiya, Masanori Hayashikoshi
2017	J	`jnl`	Matrix monotonicity and self-concordance: how to handle quantum entropy in optimization problems. Optim. Lett. Leonid Faybusovich, Takashi Tsuchiya
2016	J	`jnl`	Preface. Optim. Methods Softw. Fei Liu, Ryan C. Loxton, Takashi Tsuchiya
2016	—	`conf`	Secure Communication Protocol Between a Human and a Bank Server for Preventing Man-in-the-Browser Attacks. HCI (20) Takashi Tsuchiya, Masahiro Fujita, Kenta Takahashi, Takehisa Kato, Fumihiko Magata, Yoshimi Teshigawara, Ryôichi Sasaki, Masakatsu Nishigaki
2016	J	`jnl`	Weak infeasibility in second order cone programming. Optim. Lett. Bruno F. Lourenço, Masakazu Muramatsu, Takashi Tsuchiya
2015	—	`conf`	Energy-Efficient Continuous Task Scheduling for Near Real-Time Periodic Tasks. DSDIS Takashi Nakada, Hiroyuki Yanagihashi, Hiroshi Ueki, Takashi Tsuchiya, Masanori Hayashikoshi, Hiroshi Nakamura
2014	J	`jnl`	Curvature integrals and iteration complexities in SDP and symmetric cone programs. Comput. Optim. Appl. Satoshi Kakihara, Atsumi Ohara, Takashi Tsuchiya
2013	J	`jnl`	A Simple Variant of the Mizuno-Todd-Ye Predictor-Corrector Algorithm and Its Objective-Function-Free Complexity. SIAM J. Optim. Tomonari Kitahara, Takashi Tsuchiya
2013	J	`jnl`	Information Geometry and Interior-Point Algorithms in Semidefinite Programs and Symmetric Cone Programs. J. Optim. Theory Appl. Satoshi Kakihara, Atsumi Ohara, Takashi Tsuchiya
2013	—	`conf`	Information Geometry and Interior-Point Algorithms. GSI Satoshi Kakihara, Atsumi Ohara, Takashi Tsuchiya
2009	J	`jnl`	A Polynomial Predictor-Corrector Trust-Region Algorithm for Linear Programming. SIAM J. Optim. Guanghui Lan, Renato D. C. Monteiro, Takashi Tsuchiya
2009	J	`jnl`	Proximity of Weighted and Layered Least Squares Solutions. SIAM J. Matrix Anal. Appl. Tomonari Kitahara, Takashi Tsuchiya
2008	J	`jnl`	A strong bound on the integral of the central path curvature and its relationship with the iteration-complexity of primal-dual path-following LP algorithms. Math. Program. Renato D. C. Monteiro, Takashi Tsuchiya
2008	J	`jnl`	Numerical experiments with universal barrier functions for cones of Chebyshev systems. Comput. Optim. Appl. Leonid Faybusovich, Thanasak Mouktonglang, Takashi Tsuchiya
2007	J	`jnl`	A Recursive Recomputation Approach for Smoothing in Nonlinear State-Space Modeling: An Attempt for Reducing Space Complexity. IEEE Trans. Signal Process. Kazuyuki Nakamura, Takashi Tsuchiya
2006	J	`jnl`	A Maximum Likelihood Approach to Density Estimation with Semidefinite Programming. Neural Comput. Tadayoshi Fushiki, Shingo Horiuchi, Takashi Tsuchiya
2006	J	`jnl`	Implementation of infinite-dimensional interior-point method for solving multi-criteria linear-quadratic control problem. Optim. Methods Softw. Leonid Faybusovich, Thanasak Mouktonglang, Takashi Tsuchiya
2005	J	`jnl`	A New Iteration-Complexity Bound for the MTY Predictor-Corrector Algorithm. SIAM J. Optim. Renato D. C. Monteiro, Takashi Tsuchiya
2004	J	`jnl`	Uniform Boundedness of a Preconditioned Normal Matrix Used in Interior-Point Methods. SIAM J. Optim. Renato D. C. Monteiro, Jerome W. O'Neal, Takashi Tsuchiya
2003	J	`jnl`	A Variant of the Vavasis--Ye Layered-Step Interior-Point Algorithm for Linear Programming. SIAM J. Optim. Renato D. C. Monteiro, Takashi Tsuchiya
2003	J	`jnl`	Optimal Magnetic Shield Design with Second-Order Cone Programming. SIAM J. Sci. Comput. Takashi Sasakawa, Takashi Tsuchiya
2003	J	`jnl`	Preface. Math. Program. Hiroshi Konno, Takashi Tsuchiya
2003	J	`jnl`	Primal-dual algorithms and infinite-dimensional Jordan algebras of finite rank. Math. Program. Leonid Faybusovich, Takashi Tsuchiya
2002	—	`conf`	Application of Multivariate Maxwellian Mixture Model to Plasma Velocity Distribution. Progress in Discovery Science Genta Ueno, Nagatomo Nakamura, Tomoyuki Higuchi, Takashi Tsuchiya, Shinobu Machida, Tohru Araki
2001	J	`jnl`	Dynamic range compression based on illumination compensation. IEEE Trans. Consumer Electron. Masami Ogata, Takashi Tsuchiya, Takeshi Kubozono, Kazuhiko Ueda
2000	B	`conf`	Application of Multivariate Maxwellian Mixture Model to Plasma Velocity Distribution Function. Discovery Science Genta Ueno, Nagamoto Nakamura, Tomoyuchi Higuchi, Takashi Tsuchiya, Shinobu Machida, Tohru Araki
2000	J	`jnl`	Polynomial convergence of primal-dual algorithms for the second-order cone program based on the MZ-family of directions. Math. Program. Renato D. C. Monteiro, Takashi Tsuchiya
1999	J	`jnl`	Polynomial Convergence of a New Family of Primal-Dual Algorithms for Semidefinite Programming. SIAM J. Optim. Renato D. C. Monteiro, Takashi Tsuchiya
1999	J	`jnl`	Polynomiality of primal-dual algorithms for semidefinite linear complementarity problems based on the Kojima-Shindoh-Hara family of directions. Math. Program. Renato D. C. Monteiro, Takashi Tsuchiya
1998	J	`jnl`	A modified layered-step interior-point algorithm for linear programming. Math. Program. Nimrod Megiddo, Shinji Mizuno, Takashi Tsuchiya
1998	J	`jnl`	Basic study on the application of parametric spline functions to the holographic pattern measuring system. IEEE Trans. Instrum. Meas. Masanari Taniguchi, Takashi Tsuchiya, Tasuku Takagi
1998	J	`jnl`	Global Convergence of the Affine Scaling Algorithm for Convex Quadratic Programming. SIAM J. Optim. Renato D. C. Monteiro, Takashi Tsuchiya
1996	J	`jnl`	A Linear Programming Instance with Many Crossover Events. J. Complex. Shinji Mizuno, Nimrod Megiddo, Takashi Tsuchiya
1996	J	`jnl`	An affine scaling method with an infeasible starting point: Convergence analysis under nondegeneracy assumption. Ann. Oper. Res. Masakazu Muramatsu, Takashi Tsuchiya
1996	J	`jnl`	Convergence analysis of the projective scaling algorithm based on a long-step homogeneous affine scaling algorithm. Math. Program. Masakazu Muramatsu, Takashi Tsuchiya
1996	J	`jnl`	Superlinear convergence of the affine scaling algorithm. Math. Program. Takashi Tsuchiya, Renato D. C. Monteiro
1995	J	`jnl`	Global Convergence of a Long-Step Affine Scaling Algorithm for Degenerate Linear Programming Problems. SIAM J. Optim. Takashi Tsuchiya, Masakazu Muramatsu
1993	J	`jnl`	A simplified global convergence proof of the affine scaling algorithm. Ann. Oper. Res. Renato D. C. Monteiro, Takashi Tsuchiya, Y. Wang
1993	J	`jnl`	Degeneracy in interior point methods for linear programming: a survey. Ann. Oper. Res. Osman Güler, Dick den Hertog, Cornelis Roos, Tamás Terlaky, Takashi Tsuchiya
1993	J	`jnl`	Global convergence of the affine scaling algorithm for primal degenerate strictly convex quadratic programming problems. Ann. Oper. Res. Takashi Tsuchiya
1992	J	`jnl`	Global Convergence Property of the Affine Scaling Methods for Primal Degenerate Linear Programming Problems. Math. Oper. Res. Takashi Tsuchiya
1991	J	`jnl`	Global convergence of the affine scaling methods for degenerate linear programming problems. Math. Program. Takashi Tsuchiya

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.