Yishan Shen

According to our database, Yishan Shen authored at least 6 papers between 2024 and 2026.

Collaborative distances:

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

2026

nuReasoning: A Reasoning-Centric Dataset and Benchmark for Long-Tail Autonomous Driving.

Zhiyu Huang, Johnson Liu, Rui Song, Zewei Zhou, Ruining Yang, Yun Zhang, Tianhui Cai, Hanyin Zhang, Mingxuan Gao, Valeria Xu, Jiali Chen, Yishan Shen, Yiluan Guo, Tony Qi, Jiaqi Ma

CoRR, May, 2026

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model.

Zewei Zhou, Ruining Yang, Xuewei Qi, Yiluan Guo, Sherry X. Chen, Tao Feng, Kateryna Pistunova, Yishan Shen, Lili Su, Jiaqi Ma

CoRR, April, 2026

2025

SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimes.

Yishan Shen, Yuyang Ye, Hui Xiong, Yong Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation.

Yuyang Ye, Zhi Zheng, Yishan Shen, Tianshu Wang, Hengruo Zhang, Peijun Zhu, Runlong Yu, Kai Zhang, Hui Xiong

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework.

Jiayi Tong, Yishan Shen, Alice Xu, Xing He, Chongliang Luo, Mackenzie J. Edmondson, Dazheng Zhang, Yiwen Lu, Chao Yan, Ruowang Li, Lianne Siegel, Lichao Sun, Elizabeth A. Shenkman, Sally C. Morton, Bradley A. Malin, Jiang Bian, David A. Asch, Yong Chen

J. Am. Medical Informatics Assoc., 2024

Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras.

Jun Yu, Yutong Dai, Xiaokang Liu, Jin Huang, Yishan Shen, Ke Zhang, Rong Zhou, Eashan Adhikarla, Wenxuan Ye, Yixin Liu, Zhaoming Kong, Kai Zhang, Yilong Yin, Vinod Namboodiri, Brian D. Davison, Jason H. Moore, Yong Chen

CoRR, 2024