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2020 – today
- 2026
[c3]Tiantian He, Keyue Jiang, An Zhao, Anna Schroder, Elinor Thompson, Sonja Soskic, Frederik Barkhof
, Daniel C. Alexander:
A Stage-Aware Mixture of Experts Framework for Neurodegenerative Disease Progression Modelling. AAAI 2026: 21663-21671- [i13]Mingyu Xu, Cheng Fang, Keyue Jiang, Yuqian Zheng, Yanghua Xiao, Baojian Zhou, Qifang Zhao, Suhang Zheng, Xiuwen Zhu, Jiyang Tang, Yongchi Zhao, Yijia Luo, Zhiqi Bai, Yuchi Xu, Wenbo Su, Wei Wang, Bing Zhao, Lin Qu, Xiaoxiao Xu:
Logics-STEM: Empowering LLM Reasoning via Failure-Driven Post-Training and Document Knowledge Enhancement. CoRR abs/2601.01562 (2026) - [i12]Tommaso Giorgi, Pierriccardo Olivieri, Keyue Jiang, Laura Toni, Matteo Papini:
Impact of Connectivity on Laplacian Representations in Reinforcement Learning. CoRR abs/2603.08558 (2026) - [i11]Kaipeng Xu, Zhuo Zhi, Keyue Jiang:
Input Convex Encoder-Only Transformer for Fast and Gradient-Stable MPC in Building Demand Response. CoRR abs/2603.22095 (2026) - [i10]Kaipeng Xu, Zhuo Zhi, Ruixuan Zhao, Keyue Jiang:
End-to-End Differentiable Predictive Control with Guaranteed Constraint Satisfaction and feasibility for Building Demand Response. CoRR abs/2603.22104 (2026) - [i9]Tiantian He, Yihang Chen, Keyue Jiang, Ka Yiu Lee, Kaiwen Zhou, Kun Shao, Shuai Wang:
EE-MCP: Self-Evolving MCP-GUI Agents via Automated Environment Generation and Experience Learning. CoRR abs/2604.09815 (2026) - 2025
- [c2]Keyue Jiang, Bohan Tang, Xiaowen Dong, Laura Toni:
Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes. AISTATS 2025: 928-936 - [c1]Bohan Tang, Zexi Liu, Keyue Jiang, Siheng Chen, Xiaowen Dong:
Training-Free Message Passing for Learning on Hypergraphs. ICLR 2025 - [i8]Jasraj Singh, Keyue Jiang, Brooks Paige, Laura Toni:
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks. CoRR abs/2502.07364 (2025) - [i7]Keyue Jiang, Bohan Tang, Xiaowen Dong, Laura Toni:
Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes. CoRR abs/2503.08760 (2025) - [i6]Keyue Jiang, Jiahao Cui, Xiaowen Dong, Laura Toni:
Bures-Wasserstein Flow Matching for Graph Generation. CoRR abs/2506.14020 (2025) - [i5]Tiantian He, Keyue Jiang, An Zhao, Anna Schroder, Elinor Thompson, Sonja Soskic, Frederik Barkhof, Daniel C. Alexander:
A Stage-Aware Mixture of Experts Framework for Neurodegenerative Disease Progression Modelling. CoRR abs/2508.07032 (2025) - [i4]Bohan Tang, Huidong Liang, Keyue Jiang, Xiaowen Dong:
On the Importance of Task Complexity in Evaluating LLM-Based Multi-Agent Systems. CoRR abs/2510.04311 (2025) - [i3]Yanan Zhao, Feng Ji, Jingyang Dai, Jiaze Ma, Keyue Jiang, Kai Zhao, Wee Peng Tay:
Adaptive Multi-view Graph Contrastive Learning via Fractional-order Neural Diffusion Networks. CoRR abs/2511.06216 (2025) - [i2]Nagham Osman, Keyue Jiang, Davide Buffelli, Xiaowen Dong, Laura Toni:
LGDC: Latent Graph Diffusion via Spectrum-Preserving Coarsening. CoRR abs/2512.01190 (2025) - 2024
- [i1]Bohan Tang, Zexi Liu, Keyue Jiang, Siheng Chen, Xiaowen Dong:
Hypergraph Node Classification With Graph Neural Networks. CoRR abs/2402.05569 (2024)
Coauthor Index
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last updated on 2026-05-10 00:58 CEST by the dblp team
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