| 2026 | AAAI | Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning. | Yingxu Wang, Mengzhu Wang, Zhichao Huang, Suyu Liu, Nan Yin |
| 2026 | ACL | TRACE: An Experiential Framework for Coherent Multi-hop Knowledge Graph Question Answering. | Yingxu Wang, Jiaxin Huang, Mengzhu Wang, Nan Yin |
| 2025 | EMNLP | EvoAgentX: An Automated Framework for Evolving Agentic Workflows. | Yingxu Wang, Siwei Liu, Jinyuan Fang, Zaiqiao Meng |
| 2023 | KDD | Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information. | Tianjun Yao, Yingxu Wang, Kun Zhang, Shangsong Liang |
| 2023 | WSDM | CL4CTR: A Contrastive Learning Framework for CTR Prediction. | Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu |
| 2022 | SMC | A Formal Theory of AI Trustworthiness for Evaluating Autonomous AI Systems. | Yingxu Wang |
| 2022 | SIGIR | Enhancing CTR Prediction with Context-Aware Feature Representation Learning. | Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu |
| 2021 | SMC | A Neuroinformatics Theory for Cognitive Neurorehabilitation. | Yingxu Wang, Newton Howard, Ming Hou |
| 2020 | SMC | A Rigorous Cognitive Theory for Autonomous Decision Making. | Yingxu Wang |
| 2020 | SMC | A Tripartite Theory of Trustworthiness for Autonomous Systems. | Yingxu Wang, Svetlana N. Yanushkevich, Ming Hou, Konstantinos N. Plataniotis, Mark Coates, Marina L. Gavrilova, Yaoping Hu, Fakhri Karray, Henry Leung, Arash Mohammadi, Sam Kwong, Edward W. Tunstel, Ljiljana Trajkovic, Imre J. Rudas, Janusz Kacprzyk |
| 2020 | SMC | A Methodology and Experiments towards Autonomous Decision Making. | James Y. Xu, Connor Branch, Yingxu Wang |
| 2019 | SMC | The Spike Frequency Modulation (SFM) Theory for Neuroinformatics and Cognitive Cybernetics. | Yingxu Wang, Newton Howard |
| 2019 | SMC | A Neural Circuit Theory for Neuroinformatics and Brain-Machine Interactions. | Yingxu Wang, Jin Jiu, Liu Lin |
| 2018 | CIS | Filtering Out Infrequent Events by Expectation from Business Process Event Logs. | Ying Huang, Yingxu Wang, Yiwang Huang |
| 2018 | SMC | A Cognitive Machine Learning System for Phrases Composition and Semantic Comprehension. | Mehrdad Valipour, Yingxu Wang |
| 2018 | SMC | Brain-Inspired Systems (BIS): Cognitive Foundations and Applications. | Yingxu Wang, Jianhua Lu, Marina L. Gavrilova, Rodolfo A. Fiorini, Janusz Kacprzyk |
| 2017 | SMC | A hierarchical theory of system topology and distributed functional fusions. | Yingxu Wang |
| 2017 | SMC | Spectral clustering based on JS-divergence for uncertain data. | Yingxu Wang, Jiwen Dong, Jin Zhou, Lin Wang, Shi-Yuan Han, Tong Zhang, C. L. Philip Chen |
| 2017 | SMC | Building cognitive knowledge bases sharable by humans and cognitive robots. | Yingxu Wang, Omar A. Zatarain, Mehrdad Valipour |
| 2014 | TrustCom | Big Data Analyses for Collective Opinion Elicitation in Social Networks. | Yingxu Wang, Victor J. Wiebe |
| 2008 | ICSE | A hierarchical abstraction model for software engineering. | Yingxu Wang |
| 2002 | PROFES | Software Engineering Process Benchmarking. | Vincent Chiew, Yingxu Wang |
| 2002 | PROFES | Product and Process Metrics: A Software Engineering Measurement Expert System. | Yingxu Wang, Qing He, Chris Kliewer, Tony Khoo, Vincent Chiew, Wendy Nikoforuk, Lian Chen |
| 1998 | ICSE | A Worldwide Survey of Base Process Activities Towards Software Engineering Process Excellence. | Yingxu Wang, Graham King, Alec Dorling, Dilip Patel, Ian Court, Geoff Staples, Margaret Ross |