Qiuhui Liu - RankMe

22 papers A* 4Journal 8Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Self-Distillation Recipe for Neural Machine Translation. ACL (Findings) Hongfei Xu, Zhuofei Liang, Qiuhui Liu, Lingling Mu
2025	—	`conf`	Quality-Aware Neural Machine Translation with Self-evaluation. CCL Jiajia Cui, Lingling Mu, Qiuhui Liu, Hongfei Xu
2025	—	`conf`	Very-Long-Distance Dependency Capturing Evaluation via Language Modeling Based on Gender Consistency. NLPCC (4) Hongfei Xu, Zhuofei Liang, Josef van Genabith, Deyi Xiong, Hongying Zan, Qiuhui Liu, Tengxun Zhang
2024	—	`conf`	Rewiring the Transformer with Depth-Wise LSTMs. LREC/COLING Hongfei Xu, Yang Song, Qiuhui Liu, Josef van Genabith, Deyi Xiong
2021	—	`conf`	Learning Hard Retrieval Decoder Attention for Transformers. EMNLP (Findings) Hongfei Xu, Qiuhui Liu, Josef van Genabith, Deyi Xiong
2021	—	`conf`	Modeling Task-Aware MIMO Cardinality for Efficient Multilingual Neural Machine Translation. ACL/IJCNLP (2) Hongfei Xu, Qiuhui Liu, Josef van Genabith, Deyi Xiong
2021	—	`conf`	Multi-Head Highly Parallelized LSTM Decoder for Neural Machine Translation. ACL/IJCNLP (1) Hongfei Xu, Qiuhui Liu, Josef van Genabith, Deyi Xiong, Meng Zhang
2021	—	`conf`	Probing Word Translations in the Transformer and Trading Decoder for Encoder Layers. NAACL-HLT Hongfei Xu, Josef van Genabith, Qiuhui Liu, Deyi Xiong
2020	J	`jnl`	Analyzing Word Translation of Transformer Layers. CoRR Hongfei Xu, Josef van Genabith, Deyi Xiong, Qiuhui Liu
2020	A*	`conf`	Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change. ACL Hongfei Xu, Josef van Genabith, Deyi Xiong, Qiuhui Liu
2020	J	`jnl`	Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change. CoRR Hongfei Xu, Josef van Genabith, Deyi Xiong, Qiuhui Liu
2020	A*	`conf`	Efficient Context-Aware Neural Machine Translation with Layer-Wise Weighting and Input-Aware Gating. IJCAI Hongfei Xu, Deyi Xiong, Josef van Genabith, Qiuhui Liu
2020	J	`jnl`	Learning Hard Retrieval Cross Attention for Transformer. CoRR Hongfei Xu, Qiuhui Liu
2020	A*	`conf`	Learning Source Phrase Representations for Neural Machine Translation. ACL Hongfei Xu, Josef van Genabith, Deyi Xiong, Qiuhui Liu, Jingyi Zhang
2020	J	`jnl`	Learning Source Phrase Representations for Neural Machine Translation. CoRR Hongfei Xu, Josef van Genabith, Deyi Xiong, Qiuhui Liu, Jingyi Zhang
2020	A*	`conf`	Lipschitz Constrained Parameter Initialization for Deep Transformers. ACL Hongfei Xu, Qiuhui Liu, Josef van Genabith, Deyi Xiong, Jingyi Zhang
2020	J	`jnl`	Transformer with Depth-Wise LSTM. CoRR Hongfei Xu, Qiuhui Liu, Deyi Xiong, Josef van Genabith
2019	J	`jnl`	Neutron: An Implementation of the Transformer Translation Model and its Variants. CoRR Hongfei Xu, Qiuhui Liu
2019	—	`conf`	UdS Submission for the WMT 19 Automatic Post-Editing Task. WMT (3) Hongfei Xu, Qiuhui Liu, Josef van Genabith
2019	J	`jnl`	UdS Submission for the WMT 19 Automatic Post-Editing Task. CoRR Hongfei Xu, Qiuhui Liu, Josef van Genabith
2019	J	`jnl`	Why Deep Transformers are Difficult to Converge? From Computation Order to Lipschitz Restricted Parameter Initialization. CoRR Hongfei Xu, Qiuhui Liu, Josef van Genabith, Jingyi Zhang
2017	—	`conf`	Improving Chinese-English Neural Machine Translation with Detected Usages of Function Words. NLPCC Kunli Zhang, Hongfei Xu, Deyi Xiong, Qiuhui Liu, Hongying Zan

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.