Xingyue Huang

25 papers A* 3B 1Misc 1Journal 18Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Threshold Differential Attention for Sink-Free, Ultra-Sparse, and Non-Dispersive Language Modeling.
CoRR
Xingyue Huang, Xueying Ding, Mingxuan Ju, Yozen Liu, Neil Shah, Tong Zhao
2025 J jnl
Distilling Tool Knowledge into Language Models via Back-Translated Traces.
CoRR
Xingyue Huang, Xianglong Hu, Zifeng Ding, Yuan He, Rishabh, Waleed Alzarooni, Ziyu Ye, Wendong Fan, Bailan He, Haige Bo, Changran Hu, Guohao Li
2025 J jnl
Flock: A Knowledge Graph Foundation Model via Learning on Random Walks.
CoRR
Jinwoo Kim, Xingyue Huang, Krzysztof Olejniczak, Kyungbin Min, Michael M. Bronstein, Seunghoon Hong, Ismail Ilkan Ceylan
2025 J jnl
HYPER: A Foundation Model for Inductive Link Prediction with Knowledge Hypergraphs.
CoRR
Xingyue Huang, Mikhail Galkin, Michael M. Bronstein, Ismail Ilkan Ceylan
2025 J jnl
Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings.
CoRR
Xueying Ding, Xingyue Huang, Mingxuan Ju, Liam Collins, Yozen Liu, Leman Akoglu, Neil Shah, Tong Zhao
2025 A* conf
How Expressive are Knowledge Graph Foundation Models?
ICML
Xingyue Huang, Pablo Barceló, Michael M. Bronstein, Ismail Ilkan Ceylan, Mikhail Galkin, Juan L. Reutter, Miguel A. Romero Orth
2025 J jnl
How Expressive are Knowledge Graph Foundation Models?
CoRR
Xingyue Huang, Pablo Barceló, Michael M. Bronstein, Ismail Ilkan Ceylan, Mikhail Galkin, Juan L. Reutter, Miguel Romero
2025 J jnl
Link Prediction with Relational Hypergraphs.
Trans. Mach. Learn. Res.
Xingyue Huang, Miguel A. Romero Orth, Pablo Barceló, Michael M. Bronstein, Ismail Ilkan Ceylan
2025 J jnl
Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers.
CoRR
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
2025 J jnl
Of Graphs and Tables: Zero-Shot Node Classification with Tabular Foundation Models.
CoRR
Adrian Hayler, Xingyue Huang, Ismail Ilkan Ceylan, Michael M. Bronstein, Ben Finkelshtein
2025 J jnl
Self-Exploring Language Models for Explainable Link Forecasting on Temporal Graphs via Reinforcement Learning.
CoRR
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
2025 J jnl
StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models.
CoRR
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
2024 J jnl
A Novel Multiobjective Genetic Programming Approach to High-Dimensional Data Classification.
IEEE Trans. Cybern.
Yu Zhou, Nanjian Yang, Xingyue Huang, Jaesung Lee, Sam Kwong
2024 A* conf
Cooperative Graph Neural Networks.
ICML
Ben Finkelshtein, Xingyue Huang, Michael M. Bronstein, Ismail Ilkan Ceylan
2024 J jnl
Link Prediction with Relational Hypergraphs.
CoRR
Xingyue Huang, Miguel A. Romero Orth, Pablo Barceló, Michael M. Bronstein, Ismail Ilkan Ceylan
2024 J jnl
One Model, Any Conjunctive Query: Graph Neural Networks for Answering Complex Queries over Knowledge Graphs.
CoRR
Krzysztof Olejniczak, Xingyue Huang, Ismail Ilkan Ceylan, Mikhail Galkin
2024 J jnl
Theoretical Insights into Line Graph Transformation on Graph Learning.
CoRR
Fan Yang, Xingyue Huang
2023 A* conf
A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs.
NeurIPS
Xingyue Huang, Miguel Romero, Ismail Ilkan Ceylan, Pablo Barceló
2023 J jnl
A Theory of Link Prediction via Relational Weisfeiler-Leman.
CoRR
Xingyue Huang, Miguel A. Romero Orth, Ismail Ilkan Ceylan, Pablo Barceló
2023 J jnl
Cooperative Graph Neural Networks.
CoRR
Ben Finkelshtein, Xingyue Huang, Michael M. Bronstein, Ismail Ilkan Ceylan
2020 Misc conf
An Energy-aware Spiking Neural Network Hardware Mapping based on Particle Swarm Optimization and Genetic Algorithm.
CODES+ISSS
Junxiu Liu, Xingyue Huang, Dong Jiang, Yuling Luo
2020 J jnl
δ-Transitive closures and triangle consistency checking: a new way to evaluate graph pattern queries in large graph databases.
J. Supercomput.
Yangjun Chen, Bin Guo, Xingyue Huang
2019 B conf
Feature Selection of High Dimensional Data by Adaptive Potential Particle Swarm Optimization.
CEC
Xingyue Huang, Yizhou Chi, Yu Zhou
2019 — conf
Multi-objective Spiking Neural Network Hardware Mapping Based on Immune Genetic Algorithm.
ICANN (1)
Junxiu Liu, Xingyue Huang, Yongchuang Huang, Yuling Luo, Su Yang
2017 — conf
An Energy-Aware Hybrid Particle Swarm Optimization Algorithm for Spiking Neural Network Mapping.
ICONIP (3)
Junxiu Liu, Xingyue Huang, Yuling Luo, Yi Cao