Tan, Guangming

6 publications

ICLR 2026 Mastering Sparse CUDA Generation Through Pretrained Models and Deep Reinforcement Learning Yaoyu Wang, Hankun Dai, Zhidong Yang, Junmin Xiao, Guangming Tan

ICLR 2026 MatRIS: Toward Reliable and Efficient Pretrained Machine Learning Interatomic Potentials Yuanchang Zhou, Siyu Hu, Xiangyu Zhang, Hongyu Wang, Guangming Tan, Weile Jia

ICML 2025 ELoRA: Low-Rank Adaptation for Equivariant GNNs Chen Wang, Siyu Hu, Guangming Tan, Weile Jia

NeurIPS 2025 ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism Zedong Liu, Shenggan Cheng, Guangming Tan, Yang You, Dingwen Tao

NeurIPS 2025 Exploring Landscapes for Better Minima Along Valleys Tong Zhao, Jiacheng Li, Yuanchang Zhou, Guangming Tan, Weile Jia

AAAI 2023 RLEKF: An Optimizer for Deep Potential with Ab Initio Accuracy Siyu Hu, Wentao Zhang, Qiuchen Sha, Feng Pan, Lin-Wang Wang, Weile Jia, Guangming Tan, Tong Zhao