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ORCIDXingyue Huang
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2020 – today
- 2025
[j3]Xingyue Huang, Miguel A. Romero Orth, Pablo Barceló, Michael M. Bronstein, Ismail Ilkan Ceylan:
Link Prediction with Relational Hypergraphs. Trans. Mach. Learn. Res. 2025 (2025)- [c7]Xingyue Huang, Pablo Barceló, Michael M. Bronstein, Ismail Ilkan Ceylan, Mikhail Galkin, Juan L. Reutter, Miguel A. Romero Orth:
How Expressive are Knowledge Graph Foundation Models? ICML 2025 - [i14]Xingyue Huang, Pablo Barceló, Michael M. Bronstein, Ismail Ilkan Ceylan, Mikhail Galkin, Juan L. Reutter, Miguel Romero:
How Expressive are Knowledge Graph Foundation Models? CoRR abs/2502.13339 (2025) - [i13]Xingyue Huang, Mikhail Galkin, Michael M. Bronstein, Ismail Ilkan Ceylan:
HYPER: A Foundation Model for Inductive Link Prediction with Knowledge Hypergraphs. CoRR abs/2506.12362 (2025) - [i12]Xingyue Huang, Xianglong Hu, Zifeng Ding, Yuan He, Rishabh, Waleed Alzarooni, Ziyu Ye, Wendong Fan, Bailan He, Haige Bo, Changran Hu, Guohao Li:
Distilling Tool Knowledge into Language Models via Back-Translated Traces. CoRR abs/2506.19171 (2025) - [i11]Xiangxiang Zhang, Jingxuan Wei, Donghong Zhong, Qi Chen, Caijun Jia, Cheng Tan, Jinming Gu, Xiaobo Qin, Zhiping Liu, Liang Hu, Tong Sun, Yuchen Wu, Zewei Sun, Chenwei Lou, Hua Zheng, Tianyang Zhan, Changbao Wang, Shuangzhi Wu, Zefa Lin, Chang Guo, Sihang Yuan, Riwei Chen, Shixiong Zhao, Yingping Zhang, Gaowei Wu, Bihui Yu, Jiahui Wu, Zhehui Zhao, Qianqian Liu, Ruofeng Tang, Xingyue Huang, Bing Zhao, Mengyang Zhang, Youqiang Zhou:
StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models. CoRR abs/2508.05383 (2025) - [i10]Zifeng Ding, Shenyang Huang, Zeyu Cao, Emma Kondrup, Zachary Yang, Xingyue Huang, Yuan Sui, Zhangdie Yuan, Yuqicheng Zhu, Xianglong Hu, Yuan He, Farimah Poursafaei, Michael M. Bronstein, Andreas Vlachos:
Self-Exploring Language Models for Explainable Link Forecasting on Temporal Graphs via Reinforcement Learning. CoRR abs/2509.00975 (2025) - [i9]Xingyue Huang, Rishabh, Gregor Franke, Ziyi Yang, Jiamu Bai, Weijie Bai, Jinhe Bi, Zifeng Ding, Yiqun Duan, Chengyu Fan, Wendong Fan, Xin Gao, Ruohao Guo, Yuan He, Zhuangzhuang He, Xianglong Hu, Neil Johnson, Bowen Li, Fangru Lin, Siyu Lin, Tong Liu, Yunpu Ma, Hao Shen, Hao Sun, Beibei Wang, Fangyijie Wang, Hao Wang, Haoran Wang, Yang Wang, Yifeng Wang, Zhaowei Wang, Ziyang Wang, Yifan Wu, Zikai Xiao, Chengxing Xie, Fan Yang, Junxiao Yang, Qianshuo Ye, Ziyu Ye, Guangtao Zeng, Yuwen Ebony Zhang, Zeyu Zhang, Zihao Zhu, Bernard Ghanem, Philip Torr, Guohao Li:
Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers. CoRR abs/2509.03059 (2025) - [i8]Adrian Hayler, Xingyue Huang, Ismail Ilkan Ceylan, Michael M. Bronstein, Ben Finkelshtein:
Of Graphs and Tables: Zero-Shot Node Classification with Tabular Foundation Models. CoRR abs/2509.07143 (2025) - [i7]Jinwoo Kim, Xingyue Huang, Krzysztof Olejniczak, Kyungbin Min, Michael Bronstein, Seunghoon Hong, Ismail Ilkan Ceylan:
Flock: A Knowledge Graph Foundation Model via Learning on Random Walks. CoRR abs/2510.01510 (2025) - [i6]Xueying Ding, Xingyue Huang, Mingxuan Ju, Liam Collins, Yozen Liu, Leman Akoglu, Neil Shah, Tong Zhao:
Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings. CoRR abs/2511.14868 (2025) - 2024
- [j2]Yu Zhou
, Nanjian Yang, Xingyue Huang, Jaesung Lee, Sam Kwong:
A Novel Multiobjective Genetic Programming Approach to High-Dimensional Data Classification. IEEE Trans. Cybern. 54(9): 5205-5216 (2024) - [c6]Ben Finkelshtein, Xingyue Huang, Michael M. Bronstein, Ismail Ilkan Ceylan:
Cooperative Graph Neural Networks. ICML 2024 - [i5]Xingyue Huang, Miguel A. Romero Orth, Pablo Barceló, Michael M. Bronstein, Ismail Ilkan Ceylan:
Link Prediction with Relational Hypergraphs. CoRR abs/2402.04062 (2024) - [i4]Krzysztof Olejniczak, Xingyue Huang, Ismail Ilkan Ceylan, Mikhail Galkin:
One Model, Any Conjunctive Query: Graph Neural Networks for Answering Complex Queries over Knowledge Graphs. CoRR abs/2409.13959 (2024) - [i3]Fan Yang, Xingyue Huang:
Theoretical Insights into Line Graph Transformation on Graph Learning. CoRR abs/2410.16138 (2024) - 2023
- [c5]Xingyue Huang, Miguel Romero, Ismail Ilkan Ceylan, Pablo Barceló:
A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs. NeurIPS 2023 - [i2]Xingyue Huang, Miguel A. Romero Orth, Ismail Ilkan Ceylan, Pablo Barceló:
A Theory of Link Prediction via Relational Weisfeiler-Leman. CoRR abs/2302.02209 (2023) - [i1]Ben Finkelshtein, Xingyue Huang, Michael M. Bronstein, Ismail Ilkan Ceylan:
Cooperative Graph Neural Networks. CoRR abs/2310.01267 (2023) - 2020
- [j1]Yangjun Chen, Bin Guo, Xingyue Huang:
δ-Transitive closures and triangle consistency checking: a new way to evaluate graph pattern queries in large graph databases. J. Supercomput. 76(10): 8140-8174 (2020) - [c4]Junxiu Liu, Xingyue Huang, Dong Jiang, Yuling Luo:
An Energy-aware Spiking Neural Network Hardware Mapping based on Particle Swarm Optimization and Genetic Algorithm. CODES+ISSS 2020: 11-13
2010 – 2019
- 2019
- [c3]Xingyue Huang, Yizhou Chi, Yu Zhou:
Feature Selection of High Dimensional Data by Adaptive Potential Particle Swarm Optimization. CEC 2019: 1052-1059 - [c2]Junxiu Liu, Xingyue Huang, Yongchuang Huang, Yuling Luo, Su Yang:
Multi-objective Spiking Neural Network Hardware Mapping Based on Immune Genetic Algorithm. ICANN (1) 2019: 745-757 - 2017
- [c1]Junxiu Liu, Xingyue Huang, Yuling Luo, Yi Cao:
An Energy-Aware Hybrid Particle Swarm Optimization Algorithm for Spiking Neural Network Mapping. ICONIP (3) 2017: 805-815
Coauthor Index
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