Shoubo Hu

According to our database, Shoubo Hu authored at least 17 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

GHPO: Adaptive Guidance for Stable and Efficient LLM Reinforcement Learning.

Ziru Liu, Cheng Gong, Xinyu Fu, Yaofang Liu, Ran Chen, Shoubo Hu, Suiyun Zhang, Rui Liu, Qingfu Zhang, Dandan Tu

CoRR, July, 2025

Harnessing On-Device Large Language Model: Empirical Results and Implications for AI PC.

Qingyu Song, Peiyu Liao, Wenqian Zhao, Yiwen Wang, Shoubo Hu, Hui-Ling Zhen, Ning Jiang, Mingxuan Yuan

CoRR, May, 2025

ToTRL: Unlock LLM Tree-of-Thoughts Reasoning Potential through Puzzles Solving.

Haoyuan Wu, Xueyi Chen, Rui Ming, Jilong Gao, Shoubo Hu, Zhuolun He, Bei Yu

CoRR, May, 2025

Architect of the Bits World: Masked Autoregressive Modeling for Circuit Generation Guided by Truth Table.

Haoyuan Wu, Haisheng Zheng, Shoubo Hu, Zhuolun He, Bei Yu

CoRR, February, 2025

TorchResist: Open-Source Differentiable Resist Simulator.

Zixiao Wang, Jieya Zhou, Su Zheng, Shuo Yin, Kaichao Liang, Shoubo Hu, Xiao Chen, Bei Yu

CoRR, February, 2025

PCBAgent: An Agent-based Framework for High-Density Printed Circuit Board Placement.

Lin Chen, Ran Chen, Shoubo Hu, Xufeng Yao, Zhentao Tang, Shixiong Kai, Siyuan Xu, Mingxuan Yuan, Jianye Hao, Bei Yu, Jiang Xu

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2023

A Unified Framework for Layout Pattern Analysis With Deep Causal Estimation.

Ran Chen, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Bei Yu, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., April, 2023

Efficient Bayesian Optimization with Deep Kernel Learning and Transformer Pre-trained on Multiple Heterogeneous Datasets.

Wenlong Lyu, Shoubo Hu, Jie Chuai, Zhitang Chen

CoRR, 2023

IT-DSE: Invariance Risk Minimized Transfer Microarchitecture Design Space Exploration.

Ziyang Yu, Chen Bai, Shoubo Hu, Ran Chen, Taohai He, Mingxuan Yuan, Bei Yu, Martin D. F. Wong

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2022

Reframed GES with a neural conditional dependence measure.

Xinwei Shen, Shengyu Zhu, Jiji Zhang, Shoubo Hu, Zhitang Chen

Proceedings of the Uncertainty in Artificial Intelligence, 2022

RCANet: Root Cause Analysis via Latent Variable Interaction Modeling for Yield Improvement.

Xiaopeng Zhang, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Evangeline F. Y. Young, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao

Proceedings of the IEEE International Test Conference, 2022

2021

Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms.

Yunqi Wang, Furui Liu, Zhitang Chen, Qing Lian, Shoubo Hu, Jianye Hao, Yik-Chung Wu

CoRR, 2021

2020

Clustering Causal Additive Noise Models.

Vahid Partovi Nia, Xinlin Li, Masoud Asgharian, Shoubo Hu, Zhitang Chen, Yanhui Geng

CoRR, 2020

2019

Model-free inference of diffusion networks using RKHS embeddings.

Shoubo Hu, Bogdan Cautis, Zhitang Chen, Laiwan Chan, Yanhui Geng, Xiuqiang He

Data Min. Knowl. Discov., 2019

Domain Generalization via Multidomain Discriminant Analysis.

Shoubo Hu, Kun Zhang, Zhitang Chen, Laiwan Chan

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2018

A Kernel Embedding-Based Approach for Nonstationary Causal Model Inference.

Shoubo Hu, Zhitang Chen, Laiwan Chan

Neural Comput., 2018

Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models.

Shoubo Hu, Zhitang Chen, Vahid Partovi Nia, Lai-Wan Chan, Yanhui Geng

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018