Keyue Jiang

According to our database, Keyue Jiang authored at least 18 papers between 2024 and 2026.

Collaborative distances:

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

2026

A Data-Driven Methodology for Scalable Distributed MPC in Heterogeneous Building Aggregation: From Systematic Feature Selection to Convex Optimization.

Kaipeng Xu, Zhuo Zhi, Keyue Jiang

CoRR, May, 2026

GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models.

Xiaohang Tang, Keyue Jiang, Che Liu, Qifang Zhao, Xiaoxiao Xu, Sangwoong Yoon, Ilija Bogunovic

CoRR, May, 2026

On the Trainability of Masked Diffusion Language Models via Blockwise Locality.

Yuxiang Wang, Yu Xiang, Baojian Zhou, Qifang Zhao, Keyue Jiang, Yanghua Xiao, Xiaoxiao Xu

CoRR, April, 2026

EE-MCP: Self-Evolving MCP-GUI Agents via Automated Environment Generation and Experience Learning.

Tiantian He, Yihang Chen, Keyue Jiang, Ka Yiu Lee, Kaiwen Zhou, Kun Shao, Shuai Wang

CoRR, April, 2026

End-to-End Differentiable Predictive Control with Guaranteed Constraint Satisfaction and feasibility for Building Demand Response.

Kaipeng Xu, Zhuo Zhi, Ruixuan Zhao, Keyue Jiang

CoRR, March, 2026

Input Convex Encoder-Only Transformer for Fast and Gradient-Stable MPC in Building Demand Response.

Kaipeng Xu, Zhuo Zhi, Keyue Jiang

CoRR, March, 2026

Impact of Connectivity on Laplacian Representations in Reinforcement Learning.

Tommaso Giorgi, Pierriccardo Olivieri, Keyue Jiang, Laura Toni, Matteo Papini

CoRR, March, 2026

Logics-STEM: Empowering LLM Reasoning via Failure-Driven Post-Training and Document Knowledge Enhancement.

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

CoRR, January, 2026

A Stage-Aware Mixture of Experts Framework for Neurodegenerative Disease Progression Modelling.

Tiantian He, Keyue Jiang, An Zhao, Anna Schroder, Elinor Thompson, Sonja Soskic, Frederik Barkhof, Daniel C. Alexander

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

LGDC: Latent Graph Diffusion via Spectrum-Preserving Coarsening.

Nagham Osman, Keyue Jiang, Davide Buffelli, Xiaowen Dong, Laura Toni

CoRR, December, 2025

Adaptive Multi-view Graph Contrastive Learning via Fractional-order Neural Diffusion Networks.

Yanan Zhao, Feng Ji, Jingyang Dai, Jiaze Ma, Keyue Jiang, Kai Zhao, Wee Peng Tay

CoRR, November, 2025

On the Importance of Task Complexity in Evaluating LLM-Based Multi-Agent Systems.

Bohan Tang, Huidong Liang, Keyue Jiang, Xiaowen Dong

CoRR, October, 2025

Bures-Wasserstein Flow Matching for Graph Generation.

Keyue Jiang, Jiahao Cui, Xiaowen Dong, Laura Toni

CoRR, June, 2025

Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks.

Jasraj Singh, Keyue Jiang, Brooks Paige, Laura Toni

CoRR, February, 2025

Effects of Dropout on Performance in Long-range Graph Learning Tasks.

Jasraj Singh, Keyue Jiang, Brooks Paige, Laura Toni

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Training-Free Message Passing for Learning on Hypergraphs.

Bohan Tang, Zexi Liu, Keyue Jiang, Siheng Chen, Xiaowen Dong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes.

Keyue Jiang, Bohan Tang, Xiaowen Dong, Laura Toni

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Hypergraph Node Classification With Graph Neural Networks.

Bohan Tang, Zexi Liu, Keyue Jiang, Siheng Chen, Xiaowen Dong

CoRR, 2024