Qing-dao-er-ji Ren

42 papers A* 2B 6C 2Journal 12Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Constraint-Augmented Mongolian-Chinese Neural Machine Translation Based on Dynamic Feedback Alignment (Student Abstract). AAAI Shuting Dai, Yatu Ji, Yanli Wang, Lei Shi, Qing-dao-er-ji Ren, Nier Wu, Na Liu
2026	A*	`conf`	iCD: An Implicit Clustering Distillation Method for Structural Information Mining (Student Abstract). AAAI Xiang Xue, Yatu Ji, Qing-dao-er-ji Ren, Bao Shi, Min Lu, Nier Wu, Xufei Zhuang, Haiteng Xu, Gan-qi-qi-ge Cha
2025	—	`conf`	A Semantic Uncertainty Sampling Strategy for Back-Translation in Low-Resources Neural Machine Translation. ACL (4) Yepai Jia, Yatu Ji, Xiang Xue, Lei Shi, Qing-dao-er-ji Ren, Nier Wu, Na Liu, Chen Zhao, Fu Liu
2025	B	`conf`	LDFC-YOLO: A Detector for Electron Microscope Images of Cashmere and Wool. IJCNN Haiteng Xu, Yatu Ji, Qing-dao-er-ji Ren, Min Lu
2025	J	`jnl`	Lightweight person re-identification method with joint attention and local features. J. Electronic Imaging Xudong Gao, Xufei Zhuang, Haitao Zhang, Rui Mao, Qing-dao-er-ji Ren, Xiaoqiang Wang
2025	B	`conf`	Lite Mongolian-Chinese Neural Machine Translation: Dynamic Convolution with Long-Range Attention. IJCNN Chen Zhao, Yatu Ji, Qing-dao-er-ji Ren, Min Lu
2025	J	`jnl`	Mongolian Emotional Speech Synthesis Based on CGAN and Improved FastSpeech2. ACM Trans. Asian Low Resour. Lang. Inf. Process. Qing-dao-er-ji Ren, Yang Yang, Wang Lele
2025	—	`conf`	Mongolian Multimodal Sentiment Analysis Based on Multi-level Attention and Convolution-Enhanced Fusion. ICIC (24) Qian Bo, Qing-dao-er-ji Ren, Weixin Peng, Yatu Ji
2025	—	`conf`	Morphology-Driven Meta-Adapter for Low-Resource Mongolian Sentiment Analysis. ICIC (23) Haonan Zhu, Yatu Ji, Lei Shi, Zhenfang Bao, Qing-dao-er-ji Ren, Nier Wu, Na Liu, Xufei Zhuang, Shuo Sun
2025	—	`conf`	Multimodal Sentiment Analysis of Mongolian Language Based on Gated Transformer and Adaptive Hyper-modality. ICIC (24) Qian Bo, Qing-dao-er-ji Ren, Yatu Ji
2025	—	`conf`	Neural Machine Translation for Agglutinative Languages via Data Rejuvenation. ACL (4) Chen Zhao, Yatu Ji, Qing-dao-er-ji Ren, Nier Wu, Lei Shi, Fu Liu, Yepai Jia
2025	B	`conf`	SNT: Explore transformers for more efficient pollen classification. IJCNN Xuefeng Ma, Shi Bao, Qing-dao-er-ji Ren, Min Lu
2025	B	`conf`	Wavelet Transform and Convolution Combined Network for Unsupervised Anomaly Detection. IJCNN Yujie Wang, Xufei Zhuang, Ting Du, Ziheng Li, Qing-dao-er-ji Ren, Xiaoqiang Wang, Na Liu, Nier Wu
2025	J	`jnl`	iCD: A Implicit Clustering Distillation Mathod for Structural Information Mining. CoRR Xiang Xue, Yatu Ji, Qing-dao-er-ji Ren, Bao Shi, Min Lu, Nier Wu, Xufei Zhuang, Haiteng Xu, Gan-qi-qi-ge Cha
2024	—	`conf`	A Language-Driven Data Augmentation Method for Mongolian-Chinese Neural Machine Translation. IALP Xuerong Wei, Qing-dao-er-ji Ren
2024	B	`conf`	A Review of Mongolian Neural Machine Translation from the Perspective of Training. IJCNN Yatu Ji, Zhang Huinuan, Nier Wu, Qing-dao-er-ji Ren, Lu Min, Shi Bao
2024	—	`conf`	An Enhanced Method for Mongolian-Chinese Neural Machine Translation Using Multilingual Datastores and Chinese-Centric Methods. NLPCC (4) Bailun Wang, Yatu Ji, Nier Wu, Xu Liu, Yanli Wang, Rui Mao, Chao Zhou, Yepai Jia, Chen Zhao, Qing-dao-er-ji Ren, Na Liu
2024	—	`conf`	GDCSF: Global Depth Convolution-Based Swin Framework for Electron Microscopy Pollen Image Classification. ICIC (6) Xuefeng Ma, Shi Bao, Qing-dao-er-ji Ren, Feina Liu, Can Zhang, Yuchen Ma
2024	—	`conf`	Lightweight Facial Expression Recognition Based on Hybrid Multiscale and Multi-Head Collaborative Attention. PRCV (2) Haitao Zhang, Xufei Zhuang, Xudong Gao, Rui Mao, Qing-dao-er-ji Ren
2024	—	`conf`	Mongolian-Chinese Cross-Lingual Topic Detection Based on Knowledge Distillation and Contrastive Learning Methods. PRICAI (2) Yanli Wang, Yatu Ji, Baolei Sun, Nier Wu, Qing-dao-er-ji Ren, Bailun Wang
2024	—	`conf`	Mongolian-Chinese Cross-lingual Topic Detection Based on Knowledge Distillation. IALP Yanli Wang, Yatu Ji, Baolei Sun, Qing-dao-er-ji Ren, Nier Wu, Na Liu, Min Lu, Chen Zhao, Yepai Jia
2024	—	`conf`	Mongolian-Chinese Neural Machine Translation Based on Sustained Transfer Learning. ICIC (LNAI 3) Bailun Wang, Yatu Ji, Nier Wu, Xu Liu, Yanli Wang, Rui Mao, Shuai Yuan, Qing-dao-er-ji Ren, Na Liu, Xufei Zhuang, Min Lu
2024	—	`conf`	Multi-modal Sentiment Analysis of Mongolian Language based on Pre-trained Models and High-resolution Networks. IALP Yang Yang, Qing-dao-er-ji Ren, Rui-Feng He
2024	—	`conf`	Position-Aware Dynamic Graph Convolutional Recurrent Network for Traffic Forecasting. PRICAI (1) Rui Mao, Xufei Zhuang, Xudong Gao, Haitao Zhang, Qing-dao-er-ji Ren, Bao Shi, Yatu Ji, Nier Wu
2024	—	`conf`	Review of Research on Mongolian Fixed Phrases Recognition. IALP Xiaolong Sui, Zhonghao Zhang, Na Liu, Guiping Liu, Yatu Ji, Qing-dao-er-ji Ren, Nier Wu, Min Lu
2024	B	`conf`	SITD-NMT: Synchronous Inference NMT with Turing Re-Translation Detection. IJCNN Nier Wu, Xufei Zhuang, Hao Xing, Yatu Ji, Yang Liu, Qing-dao-er-ji Ren, Bao Shi
2023	—	`conf`	An Approach to Mongolian Neural Machine Translation Based on RWKV Language Model and Contrastive Learning. ICONIP (8) Xu Liu, Yila Su, Nier Wu, Yatu Ji, Qing-dao-er-ji Ren, Lu Min
2023	—	`conf`	Multi-task Learning for Mongolian Morphological Analysis. ICANN (9) Na Liu, Qing-dao-er-ji Ren, Xiangdong Su, Yatu Ji, Aodengbala, Guiping Liu
2022	—	`conf`	A Study of Mongolian Emotion Classification Incorporating Emojis. CACML Qian Zhang, Qing-dao-er-ji Ren, Barintag Saheya
2022	J	`jnl`	An end-to-end network for irregular printed Mongolian recognition. Int. J. Document Anal. Recognit. ShaoDong Cui, Yi La Su, Qing-dao-er-ji Ren, Yatu Ji
2022	J	`jnl`	Research on Mongolian-Chinese Translation Model Based on Transformer with Soft Context Data Augmentation Technique. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Qing-dao-er-ji Ren, Yuan Li, Shi Bao, Yongchao Liu, Xiu-hong Chen
2022	J	`jnl`	Research on Sand-Dust Storm Forecasting Based on Deep Neural Network With Stacking Ensemble Learning. IEEE Access Qing-dao-er-ji Ren, Na Li, Weiming Zhang
2021	—	`conf`	A Strategy for Referential Problem in Low-Resource Neural Machine Translation. ICANN (5) Yatu Ji, Lei Shi, Yi La Su, Qing-dao-er-ji Ren, Nier Wu, Hongbin Wang
2020	—	`conf`	Application of Convolution Neural Network Based on Transfer Learning in Sandstorm Prediction in Inner Mongolia. ICCCS Qing-dao-er-ji Ren, Ying Qiu, Tiancheng Li
2020	J	`jnl`	Research on Mongolian-Chinese machine translation based on the end-to-end neural network. Int. J. Wavelets Multiresolution Inf. Process. Qing-dao-er-ji Ren, Yi La Su, Nier Wu
2020	J	`jnl`	Research on the LSTM Mongolian and Chinese machine translation based on morpheme encoding. Neural Comput. Appl. Qing-dao-er-ji Ren, Yi La Su, Wan Wan Liu
2018	J	`jnl`	Research on Data Mining Algorithm of Meteorological Observation Based on Data Quality Control Algorithm. Wirel. Pers. Commun. Qing-dao-er-ji Ren, Na Li
2014	J	`jnl`	Security based bi-objective flow shop scheduling model and its hybrid genetic algorithm. Appl. Math. Comput. Qing-dao-er-ji Ren, Yuping Wang
2013	J	`jnl`	Inventory based two-objective job shop scheduling model and its hybrid genetic algorithm. Appl. Soft Comput. Qing-dao-er-ji Ren, Yuping Wang, Xiaoli Wang
2012	J	`jnl`	A new hybrid genetic algorithm for job shop scheduling problem. Comput. Oper. Res. Qing-dao-er-ji Ren, Yuping Wang
2010	C	`conf`	An Improved Genetic Algorithm for Job Shop Scheduling Problem. CIS Qing-dao-er-ji Ren, Yuping Wang, Xiaojing Si
2010	C	`conf`	The Application of Dominant-Recessive Diploid Codes in MOGA. CIS Na Li, Qing-dao-er-ji 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.