Qianggang Ding

15 papers A* 5B 1Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	TRACE: Temporal Rule-Anchored Chain-of-Evidence on Knowledge Graphs for Interpretable Stock Movement Prediction. CoRR Qianggang Ding, Haochen Shi, Luis Castejón Lozano, Miguel Conner, Juan Abia, Luis Gallego-Ledesma, Joshua Fellowes, Gerard Conangla Planes, Adam Elwood, Bang Liu
2026	J	`jnl`	Towards Agentic Intelligence for Materials Science. CoRR Huan Zhang, Yizhan Li, Wenhao Huang, Ziyu Hou, Yu Song, Xuye Liu, Farshid Effaty, Jinya Jiang, Sifan Wu, Qianggang Ding, Izumi Takahara, Leonard R. MacGillivray, Teruyasu Mizoguchi, Tianshu Yu, Lizi Liao, Yuyu Luo, Yu Rong, Jia Li, Ying Diao, Heng Ji, Bang Liu
2025	J	`jnl`	DASFormer: self-supervised pretraining for earthquake monitoring. Vis. Intell. Qianggang Ding, Zhichao Shen, Weiqiang Zhu, Bang Liu
2025	A*	`conf`	MatExpert: Decomposing Materials Discovery By Mimicking Human Experts. ICLR Qianggang Ding, Santiago Miret, Bang Liu
2024	J	`jnl`	MatExpert: Decomposing Materials Discovery by Mimicking Human Experts. CoRR Qianggang Ding, Santiago Miret, Bang Liu
2024	J	`jnl`	TradExpert: Revolutionizing Trading with Mixture of Expert LLMs. CoRR Qianggang Ding, Haochen Shi, Bang Liu
2022	J	`jnl`	GPN: A Joint Structural Learning Framework for Graph Neural Networks. CoRR Qianggang Ding, Deheng Ye, Tingyang Xu, Peilin Zhao
2021	A*	`conf`	Knowledge Refinery: Learning from Decoupled Label. AAAI Qianggang Ding, Sifan Wu, Tao Dai, Hao Sun, Jiadong Guo, Zhang-Hua Fu, Shutao Xia
2020	A*	`conf`	Adversarial Sparse Transformer for Time Series Forecasting. NeurIPS Sifan Wu, Xi Xiao, Qianggang Ding, Peilin Zhao, Ying Wei, Junzhou Huang
2020	A*	`conf`	Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction. IJCAI Qianggang Ding, Sifan Wu, Hao Sun, Jiadong Guo, Jian Guo
2020	B	`conf`	Multi-level Recognition on Falls from Activities of Daily Living. ICMR Jiawei Li, Shu-Tao Xia, Qianggang Ding
2020	A*	`conf`	RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist. NeurIPS Chaochao Yan, Qianggang Ding, Peilin Zhao, Shuangjia Zheng, Jinyu Yang, Yang Yu, Junzhou Huang
2020	J	`jnl`	RetroXpert: Decompose Retrosynthesis Prediction like a Chemist. CoRR Chaochao Yan, Qianggang Ding, Peilin Zhao, Shuangjia Zheng, Jinyu Yang, Yang Yu, Junzhou Huang
2019	J	`jnl`	Adaptive Regularization of Labels. CoRR Qianggang Ding, Sifan Wu, Hao Sun, Jiadong Guo, Shu-Tao Xia
2019	—	`conf`	RT-ADI: Fast Real-Time Video Representation for Multi-view Human Fall Detection. ICME Workshops Qianggang Ding, Fan Yang, Jiawei Li, Sifan Wu, Bowen Zhao, Zhi Wang, Shu-Tao Xia

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.