Lei Ding - RankMe

16 papers A* 6Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamic Quantization Error Propagation in Encoder-Decoder ASR Quantization. CoRR Xinyu Wang, Yajie Luo, Yihong Wu, Liheng Ma, Ziyu Zhao, Jingrui Tian, Lei Ding, Yufei Cui, Xiao-Wen Chang
2026	J	`jnl`	Enhancing TableQA through Verifiable Reasoning Trace Reward. CoRR Tung Sum Thomas Kwok, Xinyu Wang, Hengzhi He, Xiaofeng Lin, Peng Lu, Liheng Ma, Chunhe Wang, Ying Nian Wu, Lei Ding, Guang Cheng
2026	A*	`conf`	VeritasFi: An Adaptable, Multi-tiered RAG Framework for Multi-modal Financial Question Answering. WWW Zhenghan Tai, Hanwei Wu, Qingchen Hu, Jijun Chi, Hailin He, Lei Ding, Tung Sum Thomas Kwok, Bohuai Xiao, Yuchen Hua, Suyuchen Wang, Peng Lu, Muzhi Li, Yihong Wu, Liheng Ma, Jerry Huang, Jiayi Zhang, Gonghao Zhang, Chaolong Jiang, Jingrui Tian, Sicheng Lyu, Zeyu Li, Boyu Han, Fengran Mo, Xinyue Yu, Yufei Cui, Ling Zhou, Xinyu Wang
2025	J	`jnl`	It Takes Two: Your GRPO Is Secretly DPO. CoRR Yihong Wu, Liheng Ma, Lei Ding, Muzhi Li, Xinyu Wang, Kejia Chen, Zhan Su, Zhanguang Zhang, Chenyang Huang, Yingxue Zhang, Mark Coates, Jian-Yun Nie
2025	J	`jnl`	R CoRR Xinyu Wang, Hanwei Wu, Qingchen Hu, Zhenghan Tai, Jingrui Tian, Lei Ding, Jijun Chi, Hailin He, Tung Sum Thomas Kwok, Yufei Cui, Sicheng Lyu, Muzhi Li, Mingze Li, Xinyue Yu, Ling Zhou, Peng Lu
2025	J	`jnl`	VeritasFi: An Adaptable, Multi-tiered RAG Framework for Multi-modal Financial Question Answering. CoRR Zhenghan Tai, Hanwei Wu, Qingchen Hu, Jijun Chi, Hailin He, Lei Ding, Tung Sum Thomas Kwok, Bohuai Xiao, Yuchen Hua, Suyuchen Wang, Peng Lu, Muzhi Li, Yihong Wu, Liheng Ma, Jerry Huang, Jiayi Zhang, Gonghao Zhang, Chaolong Jiang, Jingrui Tian, Sicheng Lyu, Zeyu Li, Boyu Han, Fengran Mo, Xinyue Yu, Yufei Cui, Ling Zhou, Xinyu Wang
2024	—	`conf`	Debiasing with Sufficient Projection: A General Theoretical Framework for Vector Representations. NAACL-HLT Enze Shi, Lei Ding, Linglong Kong, Bei Jiang
2024	A*	`conf`	Probing Social Bias in Labor Market Text Generation by ChatGPT: A Masked Language Model Approach. NeurIPS Lei Ding, Yang Hu, Nicole Denier, Enze Shi, Junxi Zhang, Qirui Hu, Karen D. Hughes, Linglong Kong, Bei Jiang
2023	A*	`conf`	Gaussian Differential Privacy on Riemannian Manifolds. NeurIPS Yangdi Jiang, Xiaotian Chang, Yi Liu, Lei Ding, Linglong Kong, Bei Jiang
2023	J	`jnl`	Gaussian Differential Privacy on Riemannian Manifolds. CoRR Yangdi Jiang, Xiaotian Chang, Yi Liu, Lei Ding, Linglong Kong, Bei Jiang
2023	A*	`conf`	Online Local Differential Private Quantile Inference via Self-normalization. ICML Yi Liu, Qirui Hu, Lei Ding, Linglong Kong
2022	J	`jnl`	Balancing Gender Bias in Job Advertisements With Text-Level Bias Mitigation. Frontiers Big Data Shenggang Hu, Jabir Alshehabi Al-Ani, Karen D. Hughes, Nicole Denier, Alla Konnikov, Lei Ding, Jinhan Xie, Yang Hu, Monideepa Tarafdar, Bei Jiang, Linglong Kong, Hongsheng Dai
2022	A*	`conf`	Conformalized Fairness via Quantile Regression. NeurIPS Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang
2022	J	`jnl`	Conformalized Fairness via Quantile Regression. CoRR Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang
2022	A*	`conf`	Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving. AAAI Lei Ding, Dengdeng Yu, Jinhan Xie, Wenxing Guo, Shenggang Hu, Meichen Liu, Linglong Kong, Hongsheng Dai, Yanchun Bao, Bei Jiang
2021	J	`jnl`	Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving. CoRR Lei Ding, Dengdeng Yu, Jinhan Xie, Wenxing Guo, Shenggang Hu, Meichen Liu, Linglong Kong, Hongsheng Dai, Yanchun Bao, Bei Jiang

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.