Lei Li - RankMe

29 papers A* 7B 1Journal 15Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Retrieval-augmented Prompt Learning for Pre-trained Foundation Models. CoRR Xiang Chen, Yixin Ou, Quan Feng, Lei Li, Piji Li, Haibo Ye, Sheng-Jun Huang, Shuofei Qiao, Shumin Deng, Huajun Chen, Ningyu Zhang
2024	—	`conf`	EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models. ACL (3) Yixin Ou, Ningyu Zhang, Honghao Gui, Ziwen Xu, Shuofei Qiao, Runnan Fang, Lei Li, Zhen Bi, Guozhou Zheng, Huajun Chen
2024	J	`jnl`	EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models. CoRR Yixin Ou, Ningyu Zhang, Honghao Gui, Ziwen Xu, Shuofei Qiao, Yida Xue, Runnan Fang, Kangwei Liu, Lei Li, Zhen Bi, Guozhou Zheng, Huajun Chen
2024	—	`conf`	HyperLoRA: Efficient Cross-task Generalization via Constrained Low-Rank Adapters Generation. EMNLP (Findings) Chuancheng Lv, Lei Li, Shitou Zhang, Gang Chen, Fanchao Qi, Ningyu Zhang, Hai-Tao Zheng
2024	J	`jnl`	Sequence Labeling as Non-Autoregressive Dual-Query Set Generation. IEEE ACM Trans. Audio Speech Lang. Process. Xiang Chen, Lei Li, Yuqi Zhu, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Ningyu Zhang, Huajun Chen
2024	A*	`conf`	Tool-Augmented Reward Modeling. ICLR Lei Li, Yekun Chai, Shuohuan Wang, Yu Sun, Hao Tian, Ningyu Zhang, Hua Wu
2023	A*	`conf`	Multimodal Analogical Reasoning over Knowledge Graphs. ICLR Ningyu Zhang, Lei Li, Xiang Chen, Xiaozhuan Liang, Shumin Deng, Huajun Chen
2023	A*	`conf`	On Analyzing the Role of Image for Visual-Enhanced Relation Extraction (Student Abstract). AAAI Lei Li, Xiang Chen, Shuofei Qiao, Feiyu Xiong, Huajun Chen, Ningyu Zhang
2023	A*	`conf`	One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER. IJCAI Xiang Chen, Lei Li, Shuofei Qiao, Ningyu Zhang, Chuanqi Tan, Yong Jiang, Fei Huang, Huajun Chen
2023	J	`jnl`	One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER. CoRR Xiang Chen, Lei Li, Shuofei Qiao, Ningyu Zhang, Chuanqi Tan, Yong Jiang, Fei Huang, Huajun Chen
2023	—	`conf`	Revisiting k-NN for Fine-Tuning Pre-trained Language Models. CCL Lei Li, Jing Chen, Botzhong Tian, Ningyu Zhang
2023	J	`jnl`	Revisiting k-NN for Fine-tuning Pre-trained Language Models. CoRR Lei Li, Jing Chen, Bozhong Tian, Ningyu Zhang
2023	J	`jnl`	Tool-Augmented Reward Modeling. CoRR Lei Li, Yekun Chai, Shuohuan Wang, Yu Sun, Hao Tian, Ningyu Zhang, Hua Wu
2022	—	`conf`	CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. ACL (1) Ningyu Zhang, Mosha Chen, Zhen Bi, Xiaozhuan Liang, Lei Li, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Buzhou Tang, Qingcai Chen
2022	A*	`conf`	Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning. NeurIPS Xiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen
2022	J	`jnl`	Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning. CoRR Xiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen
2022	—	`conf`	DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population. EMNLP (Demos) Ningyu Zhang, Xin Xu, Liankuan Tao, Haiyang Yu, Hongbin Ye, Shuofei Qiao, Xin Xie, Xiang Chen, Zhoubo Li, Lei Li
2022	J	`jnl`	DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population. CoRR Ningyu Zhang, Xin Xu, Liankuan Tao, Haiyang Yu, Hongbin Ye, Xin Xie, Xiang Chen, Zhoubo Li, Lei Li, Xiaozhuan Liang, Yunzhi Yao, Shumin Deng, Wen Zhang, Zhenru Zhang, Chuanqi Tan, Fei Huang, Guozhou Zheng, Huajun Chen
2022	—	`conf`	Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction. NAACL-HLT (Findings) Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen
2022	J	`jnl`	Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction. CoRR Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen
2022	A*	`conf`	Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion. SIGIR Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen
2022	J	`jnl`	Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion. CoRR Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen
2022	B	`conf`	LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting. COLING Xiang Chen, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen, Ningyu Zhang
2022	J	`jnl`	Multimodal Analogical Reasoning over Knowledge Graphs. CoRR Ningyu Zhang, Lei Li, Xiang Chen, Xiaozhuan Liang, Shumin Deng, Huajun Chen
2022	J	`jnl`	On Analyzing the Role of Image for Visual-enhanced Relation Extraction. CoRR Lei Li, Xiang Chen, Shuofei Qiao, Feiyu Xiong, Huajun Chen, Ningyu Zhang
2022	A*	`conf`	Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning. SIGIR Xiang Chen, Lei Li, Ningyu Zhang, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen
2022	J	`jnl`	Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning. CoRR Xiang Chen, Lei Li, Ningyu Zhang, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen
2021	J	`jnl`	CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. CoRR Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Lei Li, Xiang Chen, Shumin Deng, Luoqiu Li, Hongbin Ye, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Mosha Chen, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Huajun Chen, Buzhou Tang, Qingcai Chen
2021	J	`jnl`	LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting CoRR Xiang Chen, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen, Ningyu Zhang

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.