Fanfan Wang

19 papers A* 1Journal 12Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
Flexible Thinking for Multimodal Emotional Support Conversation via Reinforcement Learning.
EMNLP (Findings)
Fanfan Wang, Xiangqing Shen, Jianfei Yu, Rui Xia
2025 J jnl
From Extraction to Generation: Multimodal Emotion-Cause Pair Generation in Conversations.
IEEE Trans. Affect. Comput.
Heqing Ma, Jianfei Yu, Fanfan Wang, Hanyu Cao, Rui Xia
2025 J jnl
Monitoring Edge-Geodetic Numbers of Some Networks.
J. Interconnect. Networks
Yingying Zhang, Fanfan Wang, Chenxu Yang
2025 J jnl
Nordhaus-Gaddum-type results for monitoring edge-geodetic number of graphs.
Discret. Appl. Math.
Yingying Zhang, Fanfan Wang, Chenxu Yang
2025 J jnl
Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA.
CoRR
Xiangqing Shen, Fanfan Wang, Rui Xia
2025 — conf
VCD: A Dataset for Visual Commonsense Discovery in Images.
ACL (Findings)
Xiangqing Shen, Fanfan Wang, Siwei Wu, Rui Xia
2024 J jnl
A systematic problem analysis network for product conceptual design.
Comput. Ind. Eng.
Kang Wang, Runhua Tan, Qingjin Peng, Lulu Zhang, Fanfan Wang
2024 J jnl
Differential testing solidity compiler through deep contract manipulation and mutation.
Softw. Qual. J.
Zhenzhou Tian, Fanfan Wang, Yanping Chen, Lingwei Chen
2024 J jnl
Innovative product design based on radical problem solving.
Comput. Ind. Eng.
Fanfan Wang, Runhua Tan, Kang Wang, Shixin Cen, Qingjin Peng
2024 A* conf
Observe before Generate: Emotion-Cause aware Video Caption for Multimodal Emotion Cause Generation in Conversations.
ACM Multimedia
Fanfan Wang, Heqing Ma, Xiangqing Shen, Jianfei Yu, Rui Xia
2024 — conf
SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversations.
SemEval@NAACL
Fanfan Wang, Heqing Ma, Rui Xia, Jianfei Yu, Erik Cambria
2024 J jnl
SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversations.
CoRR
Fanfan Wang, Heqing Ma, Jianfei Yu, Rui Xia, Erik Cambria
2023 — conf
Generative Emotion Cause Triplet Extraction in Conversations with Commonsense Knowledge.
EMNLP (Findings)
Fanfan Wang, Jianfei Yu, Rui Xia
2023 J jnl
Identification of Innovative Opportunities Based on Product Scenario Evolution.
Syst.
Fanfan Wang, Runhua Tan, Qingjin Peng, Kang Wang, Yafan Dong
2023 J jnl
Multimodal Emotion-Cause Pair Extraction in Conversations.
IEEE Trans. Affect. Comput.
Fanfan Wang, Zixiang Ding, Rui Xia, Zhaoyu Li, Jianfei Yu
2021 J jnl
A holistic method of complex product development based on a neural network-aided technological evolution system.
Adv. Eng. Informatics
Kang Wang, Runhua Tan, Qingjin Peng, Fanfan Wang, Peng Shao, Zhuoli Gao
2021 J jnl
Multimodal Emotion-Cause Pair Extraction in Conversations.
CoRR
Fanfan Wang, Zixiang Ding, Rui Xia, Zhaoyu Li, Jianfei Yu
2020 — conf
An Approach of Product-Type Process Trimming.
TFC
Fanfan Wang, Runhua Tan, Lulu Zhang, Jianguang Sun, Zhitao Song, Yu Wang
2020 — conf
Innovative Method of Patent Design Around Guided by Technological Evolution.
TFC
Lulu Zhang, Runhua Tan, Haoyu Li, Fanfan Wang, Jianguang Sun, Kang Wang

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.