Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models. - Shoubo Hu; Zhitang Chen; Vahid Partovi Nia; Lai-Wan Chan; Yanhui Geng (NeurIPS, 2018)

A Kernel Embedding-Based Approach for Nonstationary Causal Model Inference. - Shoubo Hu; Zhitang Chen; Laiwan Chan (Neural Comput., 2018)

Domain Generalization via Multidomain Discriminant Analysis. - Shoubo Hu; Kun Zhang 001; Zhitang Chen; Laiwan Chan (UAI, 2019)

Model-free inference of diffusion networks using RKHS embeddings. - Shoubo Hu; Bogdan Cautis; Zhitang Chen; Laiwan Chan; Yanhui Geng; Xiuqiang He 001 (Data Min. Knowl. Discov., 2019)

Clustering Causal Additive Noise Models. - Vahid Partovi Nia; Xinlin Li; Masoud Asgharian; Shoubo Hu; Zhitang Chen; Yanhui Geng (CoRR, 2020)

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)

RCANet: Root Cause Analysis via Latent Variable Interaction Modeling for Yield Improvement. - Xiaopeng Zhang 009; Shoubo Hu; Zhitang Chen; Shengyu Zhu 001; Evangeline F. Y. Young; Pengyun Li; Cheng Chen; Yu Huang 005; Jianye Hao (ITC, 2022)

Reframed GES with a neural conditional dependence measure. - Xinwei Shen 002; Shengyu Zhu 001; Jiji Zhang; Shoubo Hu; Zhitang Chen (UAI, 2022)

IT-DSE: Invariance Risk Minimized Transfer Microarchitecture Design Space Exploration. - Ziyang Yu 001; Chen Bai; Shoubo Hu; Ran Chen 001; Taohai He; Mingxuan Yuan; Bei Yu 001; Martin D. F. Wong (ICCAD, 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)

A Unified Framework for Layout Pattern Analysis With Deep Causal Estimation. - Ran Chen 001; Shoubo Hu; Zhitang Chen; Shengyu Zhu 001; Bei Yu 001; Pengyun Li; Cheng Chen; Yu Huang 005; Jianye Hao (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

PCBAgent: An Agent-based Framework for High-Density Printed Circuit Board Placement. - Lin Chen 029; Ran Chen 001; Shoubo Hu; Xufeng Yao; Zhentao Tang; Shixiong Kai; Siyuan Xu; Mingxuan Yuan; Jianye Hao; Bei Yu 001; Jiang Xu 001 (ASP-DAC, 2025)

TorchResist: Open-Source Differentiable Resist Simulator. - Zixiao Wang; Jieya Zhou; Su Zheng; Shuo Yin; Kaichao Liang; Shoubo Hu; Xiao Chen; Bei Yu 001 (CoRR, 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 001 (CoRR, 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 001 (CoRR, 2025)

Harnessing On-Device Large Language Model: Empirical Results and Implications for AI PC. - Qingyu Song 002; Peiyu Liao; Wenqian Zhao; Yiwen Wang; Shoubo Hu; Hui-Ling Zhen; Ning Jiang; Mingxuan Yuan (CoRR, 2025)

GHPO: Adaptive Guidance for Stable and Efficient LLM Reinforcement Learning. - Ziru Liu; Cheng Gong; Xinyu Fu 013; Yaofang Liu; Ran Chen; Shoubo Hu; Suiyun Zhang; Rui Liu; Qingfu Zhang 001; Dandan Tu (CoRR, 2025)