Xingyue Huang

According to our database, Xingyue Huang authored at least 25 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

What are the Right Symmetries for Formal Theorem Proving?

Krzysztof Olejniczak, Radoslav Dimitrov, Xingyue Huang, Bernardo Cuenca Grau, Jinwoo Kim, Ismail Ilkan Ceylan

CoRR, May, 2026

RelAgent: LLM Agents as Data Scientists for Relational Learning.

Xingyue Huang, Louis Tichelman, Jinwoo Kim, Krzysztof Olejniczak, Ismail Ilkan Ceylan

CoRR, May, 2026

Threshold Differential Attention for Sink-Free, Ultra-Sparse, and Non-Dispersive Language Modeling.

Xingyue Huang, Xueying Ding, Mingxuan Ju, Yozen Liu, Neil Shah, Tong Zhao

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings.

Xueying Ding, Xingyue Huang, Mingxuan Ju, Liam Collins, Yozen Liu, Leman Akoglu, Neil Shah, Tong Zhao

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings.

Xueying Ding, Xingyue Huang, Mingxuan Ju, Liam Collins, Yozen Liu, Leman Akoglu, Neil Shah, Tong Zhao

CoRR, November, 2025

Flock: A Knowledge Graph Foundation Model via Learning on Random Walks.

Jinwoo Kim, Xingyue Huang, Krzysztof Olejniczak, Kyungbin Min, Michael M. Bronstein, Seunghoon Hong, Ismail Ilkan Ceylan

CoRR, October, 2025

Of Graphs and Tables: Zero-Shot Node Classification with Tabular Foundation Models.

Adrian Hayler, Xingyue Huang, Ismail Ilkan Ceylan, Michael M. Bronstein, Ben Finkelshtein

CoRR, September, 2025

Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers.

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

CoRR, September, 2025

Self-Exploring Language Models for Explainable Link Forecasting on Temporal Graphs via Reinforcement Learning.

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

CoRR, September, 2025

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models.

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

CoRR, August, 2025

Distilling Tool Knowledge into Language Models via Back-Translated Traces.

Xingyue Huang, Xianglong Hu, Zifeng Ding, Yuan He, Rishabh, Waleed Alzarooni, Ziyu Ye, Wendong Fan, Bailan He, Haige Bo, Changran Hu, Guohao Li

CoRR, June, 2025

HYPER: A Foundation Model for Inductive Link Prediction with Knowledge Hypergraphs.

Xingyue Huang, Mikhail Galkin, Michael M. Bronstein, Ismail Ilkan Ceylan

CoRR, June, 2025

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, Juan L. Reutter, Miguel A. Romero Orth

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

A Novel Multiobjective Genetic Programming Approach to High-Dimensional Data Classification.

Yu Zhou, Nanjian Yang, Xingyue Huang, Jaesung Lee, Sam Kwong

IEEE Trans. Cybern., September, 2024

Theoretical Insights into Line Graph Transformation on Graph Learning.

Fan Yang, Xingyue Huang

CoRR, 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

CoRR, 2024

Cooperative Graph Neural Networks.

Ben Finkelshtein, Xingyue Huang, Michael M. Bronstein, Ismail Ilkan Ceylan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

A Theory of Link Prediction via Relational Weisfeiler-Leman.

Xingyue Huang, Miguel A. Romero Orth, Ismail Ilkan Ceylan, Pablo Barceló

CoRR, 2023

A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs.

Xingyue Huang, Miguel Romero, Ismail Ilkan Ceylan, Pablo Barceló

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

An Energy-aware Spiking Neural Network Hardware Mapping based on Particle Swarm Optimization and Genetic Algorithm.

Junxiu Liu, Xingyue Huang, Dong Jiang, Yuling Luo

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2020

2019

Multi-objective Spiking Neural Network Hardware Mapping Based on Immune Genetic Algorithm.

Junxiu Liu, Xingyue Huang, Yongchuang Huang, Yuling Luo, Su Yang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Feature Selection of High Dimensional Data by Adaptive Potential Particle Swarm Optimization.

Xingyue Huang, Yizhou Chi, Yu Zhou

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2017

An Energy-Aware Hybrid Particle Swarm Optimization Algorithm for Spiking Neural Network Mapping.

Junxiu Liu, Xingyue Huang, Yuling Luo, Yi Cao

Proceedings of the Neural Information Processing - 24th International Conference, 2017