An Energy-Aware Hybrid Particle Swarm Optimization Algorithm for Spiking Neural Network Mapping. - Junxiu Liu; Xingyue Huang; Yuling Luo; Yi Cao 001 (ICONIP (3), 2017)

Feature Selection of High Dimensional Data by Adaptive Potential Particle Swarm Optimization. - Xingyue Huang; Yizhou Chi; Yu Zhou 027 (CEC, 2019)

Multi-objective Spiking Neural Network Hardware Mapping Based on Immune Genetic Algorithm. - Junxiu Liu; Xingyue Huang; Yongchuang Huang; Yuling Luo; Su Yang 002 (ICANN (1), 2019)

An Energy-aware Spiking Neural Network Hardware Mapping based on Particle Swarm Optimization and Genetic Algorithm. - Junxiu Liu; Xingyue Huang; Dong Jiang; Yuling Luo (CODES+ISSS, 2020)

δ-Transitive closures and triangle consistency checking: a new way to evaluate graph pattern queries in large graph databases. - Yangjun Chen; Bin Guo; Xingyue Huang (J. Supercomput., 2020)

A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs. - Xingyue Huang; Miguel Romero 001; Ismail Ilkan Ceylan; Pablo Barceló (NeurIPS, 2023)

A Theory of Link Prediction via Relational Weisfeiler-Leman. - Xingyue Huang; Miguel A. Romero Orth; Ismail Ilkan Ceylan; Pablo Barceló (CoRR, 2023)

Cooperative Graph Neural Networks. - Ben Finkelshtein; Xingyue Huang; Michael M. Bronstein; Ismail Ilkan Ceylan (ICML, 2024)

One Model, Any Conjunctive Query: Graph Neural Networks for Answering Complex Queries over Knowledge Graphs. - Krzysztof Olejniczak; Xingyue Huang; Ismail Ilkan Ceylan; Mikhail Galkin 001 (CoRR, 2024)

Theoretical Insights into Line Graph Transformation on Graph Learning. - Fan Yang; Xingyue Huang (CoRR, 2024)

A Novel Multiobjective Genetic Programming Approach to High-Dimensional Data Classification. - Yu Zhou 027; Nanjian Yang; Xingyue Huang; Jaesung Lee 001; Sam Kwong (IEEE Trans. Cybern., 2024)

Link Prediction with Relational Hypergraphs. - Xingyue Huang; Miguel A. Romero Orth; Pablo Barceló; Michael M. Bronstein; Ismail Ilkan Ceylan (Trans. Mach. Learn. Res., 2025)

How Expressive are Knowledge Graph Foundation Models? - Xingyue Huang; Pablo Barceló; Michael M. Bronstein; Ismail Ilkan Ceylan; Mikhail Galkin 001; Juan L. Reutter; Miguel Romero 001 (CoRR, 2025)

HYPER: A Foundation Model for Inductive Link Prediction with Knowledge Hypergraphs. - Xingyue Huang; Mikhail Galkin 001; Michael M. Bronstein; Ismail Ilkan Ceylan (CoRR, 2025)

Distilling Tool Knowledge into Language Models via Back-Translated Traces. - Xingyue Huang; Xianglong Hu; Zifeng Ding; Yuan He 008; Rishabh; Waleed Alzarooni; Ziyu Ye; Wendong Fan; Bailan He; Haige Bo; Changran Hu; Guohao Li 001 (CoRR, 2025)

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models. - Xiangxiang Zhang; Jingxuan Wei; Donghong Zhong; Qi Chen; Caijun Jia; Cheng Tan 012; Jinming Gu; Xiaobo Qin; Zhiping Liu; Liang Hu; Tong Sun; Yuchen Wu; et al. (CoRR, 2025)