Yanchen Jiang - RankMe

16 papers A* 2A 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LLM Active Alignment: A Nash Equilibrium Perspective. CoRR Tonghan Wang, Yuqi Pan, Xinyi Yang, Yanchen Jiang, Milind Tambe, David C. Parkes
2026	J	`jnl`	One Model, Two Markets: Bid-Aware Generative Recommendation. CoRR Yanchen Jiang, Zhe Feng, Christopher P. Mah, Aranyak Mehta, Di Wang
2026	J	`jnl`	The Prosocial Ranking Challenge: Reducing Polarization on Social Media without Sacrificing Engagement. CoRR Jonathan Stray, Ian Baker, George Beknazar-Yuzbashev, Ceren Budak, Julia Kamin, Kylan Rutherford, Mateusz Stalinski, Tin Acosta, Chris Bailey, Michael S. Bernstein, Mark Brandt, Amy Bruckman, Anshuman Chhabra, Soham De, Kayla Duskin, Sara Fish, Beth Goldberg, Andy Guess, Dylan Hadfield-Menell, Muhammad Haroon, Safwan Hossain, Michael Inzlicht, Gauri Jain, Yanchen Jiang, Alexander P. Landry, Yph Lelkes, Hongfan Lu, Peter Mason, Jennifer McCoy, Smitha Milli, Paul Resnick, Emily Saltz, Martin Saveski, Lisa Schirch, Max Spohn, Siddarth Srinivasan, Alexis Tatore, Luke Thorburn, Joshua A. Tucker, Robb Willer, Magdalena Wojcieszak, Manuel Wüthrich, Sylvan Zheng
2025	J	`jnl`	BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization. CoRR Tonghan Wang, Yanchen Jiang, David C. Parkes
2025	J	`jnl`	Incentive-Aligned Multi-Source LLM Summaries. CoRR Yanchen Jiang, Zhe Feng, Aranyak Mehta
2025	J	`jnl`	LLM-Powered Preference Elicitation in Combinatorial Assignment. CoRR Ermis Soumalias, Yanchen Jiang, Kehang Zhu, Michael J. Curry, Sven Seuken, David C. Parkes
2025	J	`jnl`	Learning from Synthetic Labs: Language Models as Auction Participants. CoRR Anand Shah, Kehang Zhu, Yanchen Jiang, Jeffrey G. Wang, Arif Kerem Dayi, John J. Horton, David C. Parkes
2025	J	`jnl`	Multi-stage stochastic programming for thermal power plant coal procurement considering long-term contract under uncertainties. Comput. Chem. Eng. Jun Li, Yanchen Jiang, Qiansheng Li, Yongfu Wang
2025	A	`conf`	On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow. AAMAS Tonghan Wang, Heng Dong, Yanchen Jiang, David C. Parkes, Milind Tambe
2025	J	`jnl`	Real-time traffic object detection algorithm with deep stochastic configuration networks. Inf. Sci. Yongfu Wang, Yang Liu, Ran Yi, Yanchen Jiang
2024	J	`jnl`	Charting the Shapes of Stories with Game Theory. CoRR Constantinos Daskalakis, Ian Gemp, Yanchen Jiang, Renato Paes Leme, Christos H. Papadimitriou, Georgios Piliouras
2024	A*	`conf`	GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning. EC Tonghan Wang, Yanchen Jiang, David C. Parkes
2024	J	`jnl`	GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning. CoRR Tonghan Wang, Yanchen Jiang, David C. Parkes
2024	J	`jnl`	On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow. CoRR Tonghan Wang, Heng Dong, Yanchen Jiang, David C. Parkes, Milind Tambe
2023	A*	`conf`	Data Market Design through Deep Learning. NeurIPS Sai Srivatsa Ravindranath, Yanchen Jiang, David C. Parkes
2023	J	`jnl`	Data Market Design through Deep Learning. CoRR Sai Srivatsa Ravindranath, Yanchen Jiang, David C. Parkes

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.