Zeqi Tan - RankMe

39 papers A* 9Journal 19Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Survey on (M)LLM-Based GUI Agents. CoRR Fei Tang, Haolei Xu, Hang Zhang, Siqi Chen, Xingyu Wu, Yongliang Shen, Wenqi Zhang, Guiyang Hou, Zeqi Tan, Yuchen Yan, Kaitao Song, Jian Shao, Weiming Lu, Jun Xiao, Yueting Zhuang
2025	A*	`conf`	G2LDetect: A Global-to-Local Approach for Hallucination Detection. AAAI Xiaoxia Cheng, Zeqi Tan, Zhe Zheng, Weiming Lu
2024	A*	`conf`	Advancing Process Verification for Large Language Models via Tree-Based Preference Learning. EMNLP Mingqian He, Yongliang Shen, Wenqi Zhang, Zeqi Tan, Weiming Lu
2024	J	`jnl`	Advancing Process Verification for Large Language Models via Tree-Based Preference Learning. CoRR Mingqian He, Yongliang Shen, Wenqi Zhang, Zeqi Tan, Weiming Lu
2024	—	`conf`	Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization. ACL (1) Wenqi Zhang, Ke Tang, Hai Wu, Mengna Wang, Yongliang Shen, Guiyang Hou, Zeqi Tan, Peng Li, Yueting Zhuang, Weiming Lu
2024	J	`jnl`	Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization. CoRR Wenqi Zhang, Ke Tang, Hai Wu, Mengna Wang, Yongliang Shen, Guiyang Hou, Zeqi Tan, Peng Li, Yueting Zhuang, Weiming Lu
2024	J	`jnl`	Entering Real Social World! Benchmarking the Theory of Mind and Socialization Capabilities of LLMs from a First-person Perspective. CoRR Guiyang Hou, Wenqi Zhang, Yongliang Shen, Zeqi Tan, Sihao Shen, Weiming Lu
2024	J	`jnl`	GaVaMoE: Gaussian-Variational Gated Mixture of Experts for Explainable Recommendation. CoRR Fei Tang, Yongliang Shen, Hang Zhang, Zeqi Tan, Wenqi Zhang, Guiyang Hou, Kaitao Song, Weiming Lu, Yueting Zhuang
2024	A*	`conf`	Information Re-Organization Improves Reasoning in Large Language Models. NeurIPS Xiaoxia Cheng, Zeqi Tan, Wei Xue, Weiming Lu
2024	J	`jnl`	Information Re-Organization Improves Reasoning in Large Language Models. CoRR Xiaoxia Cheng, Zeqi Tan, Weiming Lu
2024	—	`conf`	Learning Global Controller in Latent Space for Parameter-Efficient Fine-Tuning. ACL (1) Zeqi Tan, Yongliang Shen, Xiaoxia Cheng, Chang Zong, Wenqi Zhang, Jian Shao, Weiming Lu, Yueting Zhuang
2024	A*	`conf`	Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model. EMNLP Wenqi Zhang, Zhenglin Cheng, Yuanyu He, Mengna Wang, Yongliang Shen, Zeqi Tan, Guiyang Hou, Mingqian He, Yanna Ma, Weiming Lu, Yueting Zhuang
2024	J	`jnl`	Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model. CoRR Wenqi Zhang, Zhenglin Cheng, Yuanyu He, Mengna Wang, Yongliang Shen, Zeqi Tan, Guiyang Hou, Mingqian He, Yanna Ma, Weiming Lu, Yueting Zhuang
2023	A*	`conf`	An Expression Tree Decoding Strategy for Mathematical Equation Generation. EMNLP Wenqi Zhang, Yongliang Shen, Qingpeng Nong, Zeqi Tan, Yanna Ma, Weiming Lu
2023	J	`jnl`	An Expression Tree Decoding Strategy for Mathematical Equation Generation. CoRR Wenqi Zhang, Yongliang Shen, Qingpeng Nong, Zeqi Tan, Yanna Ma, Weiming Lu
2023	—	`conf`	DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition. SemEval@ACL Zeqi Tan, Shen Huang, Zixia Jia, Jiong Cai, Yinghui Li, Weiming Lu, Yueting Zhuang, Kewei Tu, Pengjun Xie, Fei Huang
2023	J	`jnl`	DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition. CoRR Zeqi Tan, Shen Huang, Zixia Jia, Jiong Cai, Yinghui Li, Weiming Lu, Yueting Zhuang, Kewei Tu, Pengjun Xie, Fei Huang, Yong Jiang
2023	—	`conf`	GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks. ACL (Findings) Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu
2023	J	`jnl`	GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks. CoRR Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu
2023	—	`conf`	Graph Propagation based Data Augmentation for Named Entity Recognition. ACL (2) Jiong Cai, Shen Huang, Yong Jiang, Zeqi Tan, Pengjun Xie, Kewei Tu
2023	A*	`conf`	MProto: Multi-Prototype Network with Denoised Optimal Transport for Distantly Supervised Named Entity Recognition. EMNLP Shuhui Wu, Yongliang Shen, Zeqi Tan, Wenqi Ren, Jietian Guo, Shiliang Pu, Weiming Lu
2023	J	`jnl`	MProto: Multi-Prototype Network with Denoised Optimal Transport for Distantly Supervised Named Entity Recognition. CoRR Shuhui Wu, Yongliang Shen, Zeqi Tan, Wenqi Ren, Jietian Guo, Shiliang Pu, Weiming Lu
2023	—	`conf`	PromptNER: Prompt Locating and Typing for Named Entity Recognition. ACL (1) Yongliang Shen, Zeqi Tan, Shuhui Wu, Wenqi Zhang, Rongsheng Zhang, Yadong Xi, Weiming Lu, Yueting Zhuang
2023	J	`jnl`	PromptNER: Prompt Locating and Typing for Named Entity Recognition. CoRR Yongliang Shen, Zeqi Tan, Shuhui Wu, Wenqi Zhang, Rongsheng Zhang, Yadong Xi, Weiming Lu, Yueting Zhuang
2022	—	`conf`	De-Bias for Generative Extraction in Unified NER Task. ACL (1) Shuai Zhang, Yongliang Shen, Zeqi Tan, Yiquan Wu, Weiming Lu
2022	—	`conf`	Multi-View Reasoning: Consistent Contrastive Learning for Math Word Problem. EMNLP (Findings) Wenqi Zhang, Yongliang Shen, Yanna Ma, Xiaoxia Cheng, Zeqi Tan, Qingpeng Nong, Weiming Lu
2022	J	`jnl`	Multi-View Reasoning: Consistent Contrastive Learning for Math Word Problem. CoRR Wenqi Zhang, Yongliang Shen, Yanna Ma, Xiaoxia Cheng, Zeqi Tan, Qingpeng Nong, Weiming Lu
2022	—	`conf`	Parallel Instance Query Network for Named Entity Recognition. ACL (1) Yongliang Shen, Xiaobin Wang, Zeqi Tan, Guangwei Xu, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang
2022	J	`jnl`	Parallel Instance Query Network for Named Entity Recognition. CoRR Yongliang Shen, Xiaobin Wang, Zeqi Tan, Guangwei Xu, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang
2022	A*	`conf`	Propose-and-Refine: A Two-Stage Set Prediction Network for Nested Named Entity Recognition. IJCAI Shuhui Wu, Yongliang Shen, Zeqi Tan, Weiming Lu
2022	J	`jnl`	Propose-and-Refine: A Two-Stage Set Prediction Network for Nested Named Entity Recognition. CoRR Shuhui Wu, Yongliang Shen, Zeqi Tan, Weiming Lu
2022	A*	`conf`	Query-based Instance Discrimination Network for Relational Triple Extraction. EMNLP Zeqi Tan, Yongliang Shen, Xuming Hu, Wenqi Zhang, Xiaoxia Cheng, Weiming Lu, Yueting Zhuang
2022	J	`jnl`	Query-based Instance Discrimination Network for Relational Triple Extraction. CoRR Zeqi Tan, Yongliang Shen, Xuming Hu, Wenqi Zhang, Xiaoxia Cheng, Weiming Lu, Yueting Zhuang
2021	A*	`conf`	A Sequence-to-Set Network for Nested Named Entity Recognition. IJCAI Zeqi Tan, Yongliang Shen, Shuai Zhang, Weiming Lu, Yueting Zhuang
2021	J	`jnl`	A Sequence-to-Set Network for Nested Named Entity Recognition. CoRR Zeqi Tan, Yongliang Shen, Shuai Zhang, Weiming Lu, Yueting Zhuang
2021	—	`conf`	Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition. ACL/IJCNLP (1) Yongliang Shen, Xinyin Ma, Zeqi Tan, Shuai Zhang, Wen Wang, Weiming Lu
2021	J	`jnl`	Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition. CoRR Yongliang Shen, Xinyin Ma, Zeqi Tan, Shuai Zhang, Wen Wang, Weiming Lu
2021	—	`conf`	N-ary Constituent Tree Parsing with Recursive Semi-Markov Model. ACL/IJCNLP (1) Xin Xin, Jinlong Li, Zeqi Tan
2017	J	`jnl`	Design analysis and bending modeling of a flexible robot for endoscope steering. Int. J. Intell. Robotics Appl. Zeqi Tan, Hongliang Ren

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.