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2020 – today
- 2026
[c11]Xingcheng Fu, Shengpeng Wang, Yisen Gao, Xianxian Li, Chunpei Li, Qingyun Sun, Dongran Yu:
Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space. AAAI 2026: 14747-14755- [c10]Yi Huang, Qingyun Sun, Yisen Gao, Haonan Yuan, Xingcheng Fu, Jianxin Li:
Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning. AAAI 2026: 22084-22091 - [c9]Xingcheng Fu, Lingyun Liu, Yisen Gao
, Tianyu Chen, Qingyun Sun, Jianxin Li, Xianxian Li:
Graph Diffusion Evolution Model for Multi-Conditional Molecular Generation. WWW 2026: 571-579 - [c8]Yuecen Wei, Zhiyu Zhuang, Yisen Gao, Xingcheng Fu, Qingyun Sun, Ziwei Zhang, Tianyu Wo, Chunming Hu:
Towards Geometry-Consistent Federated Graph Learning. WWW 2026: 1445-1456 - [c7]Yisen Gao, Jiaxin Bai, Yi Huang, Xingcheng Fu, Qingyun Sun, Yangqiu Song:
Unifying Deductive and Abductive Reasoning in Knowledge Graphs with Masked Diffusion Model. WWW 2026: 3600-3611 - [i13]Zhongwei Xie, Jiaxin Bai, Shujie Liu, Haoyu Huang, Yufei Li, Yisen Gao, Hong Ting Tsang, Yangqiu Song:
NGDB-Zoo: Towards Efficient and Scalable Neural Graph Databases Training. CoRR abs/2602.21597 (2026) - [i12]Xingcheng Fu, Shengpeng Wang, Yisen Gao, Xianxian Li, Chunpei Li, Qingyun Sun, Dongran Yu:
Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space. CoRR abs/2602.22879 (2026) - [i11]Yufei Li, Yisen Gao, Jiaxin Bai, Jiaxuan Xiong, Haoyu Huang, Zhongwei Xie, Hong Ting Tsang, Yangqiu Song:
Towards Neural Graph Data Management. CoRR abs/2603.05529 (2026) - 2025
- [j1]Jiaxin Bai, Zihao Wang, Yukun Zhou, Hang Yin, Weizhi Fei, Qi Hu, Zheye Deng, Jiayang Cheng, Tianshi Zheng, Hong Ting Tsang, Yisen Gao, Zhongwei Xie, Yufei Li, Lixin Fan, Binhang Yuan, Wei Wang, Lei Chen, Xiaofang Zhou, Yangqiu Song:
Top Ten Challenges Towards Agentic Neural Graph Databases. IEEE Data Eng. Bull. 49(1): 104-123 (2025) - [c6]Zihao Guo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Min Zhou, Yisen Gao, Jianxin Li:
GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts. AAAI 2025: 11754-11762 - [c5]Xingcheng Fu, Jian Wang, Yisen Gao, Qingyun Sun, Haonan Yuan, Jianxin Li, Xianxian Li:
Discrete Curvature Graph Information Bottleneck. AAAI 2025: 16666-16673 - [c4]Xingcheng Fu, Yisen Gao, Beining Yang, Yuxuan Wu, Haodong Qian, Qingyun Sun, Xianxian Li:
Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck. AAAI 2025: 16674-16681 - [c3]Tianyu Chen, Xingcheng Fu, Yisen Gao, Haodong Qian, Yuecen Wei, Kun Yan, Haoyi Zhou, Jianxin Li:
Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding. CVPR 2025: 4112-4121 - [c2]Xinbang Cheng, Haodong Qian, Yisen Gao, Xingcheng Fu, Rongye Shi:
SIGMA: A Dual-Agent Reinforcement Learning-OptimizedFramework for Graph Classification. DAI 2025: 28-37 - [i10]Jiaxin Bai, Zihao Wang, Yukun Zhou, Hang Yin, Weizhi Fei, Qi Hu, Zheye Deng, Jiayang Cheng, Tianshi Zheng, Hong Ting Tsang, Yisen Gao, Zhongwei Xie, Yufei Li, Lixin Fan, Binhang Yuan, Wei Wang, Lei Chen, Xiaofang Zhou, Yangqiu Song:
Top Ten Challenges Towards Agentic Neural Graph Databases. CoRR abs/2501.14224 (2025) - [i9]Tianyu Chen, Xingcheng Fu, Yisen Gao, Haodong Qian, Yuecen Wei, Kun Yan, Haoyi Zhou, Jianxin Li:
Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding. CoRR abs/2503.18578 (2025) - [i8]Yisen Gao, Jiaxin Bai, Tianshi Zheng, Qingyun Sun, Ziwei Zhang, Jianxin Li, Yangqiu Song, Xingcheng Fu:
Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs. CoRR abs/2505.20948 (2025) - [i7]Yisen Gao, Xingcheng Fu, Qingyun Sun, Jianxin Li, Xianxian Li:
Toward a Unified Geometry Understanding: Riemannian Diffusion Framework for Graph Generation and Prediction. CoRR abs/2510.04522 (2025) - [i6]Yisen Gao, Jiaxin Bai, Yi Huang, Xingcheng Fu, Qingyun Sun, Yangqiu Song:
Unifying Deductive and Abductive Reasoning in Knowledge Graphs with Masked Diffusion Model. CoRR abs/2510.11462 (2025) - [i5]Yi Huang, Qingyun Sun, Yisen Gao, Haonan Yuan, Xingcheng Fu, Jianxin Li:
Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning. CoRR abs/2512.10573 (2025) - 2024
- [c1]Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li:
Hyperbolic Geometric Latent Diffusion Model for Graph Generation. ICML 2024: 14102-14124 - [i4]Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li:
Hyperbolic Geometric Latent Diffusion Model for Graph Generation. CoRR abs/2405.03188 (2024) - [i3]Zihao Guo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Min Zhou, Yisen Gao, Jianxin Li:
GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts. CoRR abs/2412.11085 (2024) - [i2]Xingcheng Fu, Yisen Gao, Beining Yang, Yuxuan Wu, Haodong Qian, Qingyun Sun, Xianxian Li:
Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck. CoRR abs/2412.17355 (2024) - [i1]Xingcheng Fu, Jian Wang, Yisen Gao, Qingyun Sun, Haonan Yuan, Jianxin Li, Xianxian Li:
Discrete Curvature Graph Information Bottleneck. CoRR abs/2412.19993 (2024)
Coauthor Index
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