Shangyang Li

According to our database, Shangyang Li authored at least 17 papers between 2020 and 2026.

Collaborative distances:

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

2026

Schema-Adaptive Tabular Representation Learning with LLMs for Generalizable Multimodal Clinical Reasoning.

Hongxi Mao, Wei Zhou, Mengting Jia, Tao Fang, Huan Gao, Bin Zhang, Shangyang Li

CoRR, April, 2026

Agri-R1: Empowering Generalizable Agricultural Reasoning in Vision-Language Models with Reinforcement Learning.

Wentao Zhang, Lifei Wang, Lina Lu, MingKun Xu, Shangyang Li, Yanchao Yang, Tao Fang

CoRR, January, 2026

MedGR2: Breaking the Data Barrier for Medical Reasoning via Generative Reward Learning.

Weihai Zhi, Jiayan Guo, Shangyang Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Rethinking Nonlinearity: Trainable Gaussian Mixture Modules for Modern Neural Architectures.

Weiguo Lu, Gangnan Yuan, Hong-kun Zhang, Shangyang Li

CoRR, October, 2025

Beyond Classification Accuracy: Neural-MedBench and the Need for Deeper Reasoning Benchmarks.

Miao Jing, Mengting Jia, Junling Lin, Zhongxia Shen, Lijun Wang, Yuanyuan Peng, Huan Gao, Mingkun Xu, Shangyang Li

CoRR, September, 2025

MedGR²: Breaking the Data Barrier for Medical Reasoning via Generative Reward Learning.

Weihai Zhi, Jiayan Guo, Shangyang Li

CoRR, August, 2025

Subgraph Federated Learning with Information Bottleneck Constrained Generative Learning.

Shangyang Li, Jiayan Guo

ACM Trans. Knowl. Discov. Data, 2025

Harnessing Pre-trained Language Models for EEG-based Epilepsy Detection.

Tao Lu, Shangyang Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Empowering Cross-Patient Adaptive-Length Epilepsy Diagnosis with ECNorm: A Channel-wise Approach.

Kaixuan Wang, Tao Lu, Shangyang Li

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Unified Fusion Network Model for EEG Signals.

Chunchang Shao, Shangyang Li

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

2024

A differentiable brain simulator bridging brain simulation and brain-inspired computing.

Chaoming Wang, Tianqiu Zhang, Sichao He, Hongyaoxing Gu, Shangyang Li, Si Wu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

DetAC: Approach to Detect Access Control Vulnerability in Web Application Based on Sitemap Model with Global Information Representation.

Jiadong Ren, Mingyou Wu, Bing Zhang, Ke Xu, Shangyang Li, Qian Wang, Yue Chang, Tao Cheng

Int. J. Softw. Eng. Knowl. Eng., September, 2023

A differentiable brain simulator bridging brain simulation and brain-inspired computing.

Chaoming Wang, Tianqiu Zhang, Sichao He, Yifeng Gong, Hongyaoxing Gu, Shangyang Li, Si Wu

CoRR, 2023

An Information Theoretic Perspective for Heterogeneous Subgraph Federated Learning.

Jiayan Guo, Shangyang Li, Yan Zhang

Proceedings of the Database Systems for Advanced Applications, 2023

2022

Learning Robust Representation through Graph Adversarial Contrastive Learning.

Jiayan Guo, Shangyang Li, Yue Zhao, Yan Zhang

CoRR, 2022

Learning Robust Representation Through Graph Adversarial Contrastive Learning.

Jiayan Guo, Shangyang Li, Yue Zhao, Yan Zhang

Proceedings of the Database Systems for Advanced Applications, 2022

2020

Excitation-Inhibition Balanced Neural Networks for Fast Signal Detection.

Gengshuo Tian, Shangyang Li, Tiejun Huang, Si Wu

Frontiers Comput. Neurosci., 2020