Training Recipes for Agentic Reinforcement Learning in LLMs: A Survey

OpenReview, 2026. (Under review by ACL ARR)

Ching Chang, Yijia Xiao, Jade Xu, Fred Xu, Chenchen Ye, Ruoyan Li, Junkai Zhang, Yihe Deng, Kyle Zheng, Ethan Ji, Alexander K Taylor, Weikai Li, Maryam Haghifam, Anthony Cuturrufo, Renliang Sun, Jiahang Hank Sha, Yidan Shi, Wen-Chih Peng, Yizhou Sun, Wei Wang

Symmetry-Preserving Conformer Ensemble Networks for Molecular Representation Learning

The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.

Yanqiao Zhu*, Yidan Shi*, Yuanzhou Chen, Fang Sun, Yizhou Sun, Wei Wang (*Equal Contribution)

[OpenReview]

Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Series

The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.

Ching Chang, Jeehyun Hwang, Yidan Shi, Haixin Wang, Wen-Chih Peng, Tien-Fu Chen, Wei Wang

[OpenReview]

A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models

Arxiv, 2025. (Under review by TMLR)

Ching Chang, Yidan Shi, Defu Cao, Wei Yang, Jeehyun Hwang, Haixin Wang, Jiacheng Pang, Wei Wang, Yan Liu, Wen-Chih Peng, Tien-Fu Chen

[Arxiv] 

Target-driven iterative autoencoder for hyperspectral target detection

IEEE Transactions on Geoscience and Remote Sensing, 2024.

Yidan Shi, Xiaorun Li, Shuhan Chen

[IEEE Xplore]

Exploration of data scene characterization and 3D ROC evaluation for hyperspectral anomaly detection

Remote Sensing, 2023.

Chein-I Chang, Shuhan Chen, Shengwei Zhong, Yidan Shi

[MDPI]