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Xin Liu

11 papers indexed

openalexFrontiers in Endocrinology2026-07-24

Association between ovarian sensitivity index and IVF-ET outcomes in women of advanced maternal age

Zhong Junjie, Lin Wang, Yudi Luo, Bowen Luo, Xin Liu, Bojin Qin, et al.

Objective To investigate the association between the ovarian sensitivity index (OSI) and ovarian responsiveness, embryo quality, and pregnancy outcomes in women of advanced reproductive age (≥35 years) undergoing IVF-ET. Methods This retrospective cohort study included 1,055 fres…

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openalexRenewable and Sustainable Energy Reviews2026-07-23

Electrochemical energy technologies: Current progress and future opportunities for sustainable energy transitions

Ignacio Aguilar, Andrew Carkner, Niranjan R, Alaleh Esfandiari, Xin Liu, Summia Saed Aldien, et al.

Transitioning from fossil fuel–based systems to renewable energy is central to achieving global net-zero and sustainability goals. Yet, the large-scale deployment of renewable energy technologies—such as solar, wind, and biomass, requires not only clean power generation but also…

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arxivcs.CV2026-07-19

Cross-Coordinate Correspondence Pruning for Image-to-Point Cloud Registration

Xin Liu, Rong Qin, Huipeng Lin, Leizhi Shu, Jin Wu, Chi-Man Vong, et al.

Recent detection-free approaches have shown significant efficacy in image-to-point cloud (I2P) registration by employing a coarse-to-fine matching pipeline. In the coarse stage, down-sampled image features and voxelized point cloud features are typically fused to establish initia…

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arxivcs.CLcs.AIcs.LG2026-07-17

Process Reward Informed Tree Rollout for Effective Multi-Turn RL

Xintong Li, Sha Li, Yuwei Zhang, Changlong Yu, Rongmei Lin, Hongye Jin, et al.

Reinforcement learning (RL) has become a key approach for training LLM agents, yet popular methods such as GRPO/RLOO rely on multiple independently sampled complete trajectories for advantage estimation. In long-horizon agentic tasks, such a uniform rollout strategy can waste bud…

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arxivcs.SEcs.AI2026-07-06

LLM-Driven CI-CD Workflow Intelligence for Cyber Systems Engineering

Bonan Shen, Jiazhou Gao, Tao Ning, Wei-Jung Huang, Xin Liu

CI/CD workflows have become executable operational policy: they decide what gets built, tested, released, and deployed, and they mediate how maintainers interact with delivery infrastructure. That makes them an important measurement point for cyber-systems engineering. Recent lar…

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arxivcs.CLcs.AI2026-07-02

Gemma 4 Technical Report

Gemma Team, Sherif El Abd, Vaibhav Aggarwal, Robin Algayres, Alek Andreev, Olivier Bachem, et al.

We introduce Gemma 4, a new generation of open-weight, natively multimodal language models in the Gemma model family. Designed to advance compute efficiency and reasoning, the Gemma 4 model suite features dense and Mixture-of-Experts architectures, ranging from 2.3B to 31B parame…

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arxivmath.OCcs.AIcs.LG2026-07-02

Decentralized Stochastic Subgradient-type Methods with Communication Compression for Nonsmooth Nonconvex Optimization

Siyuan Zhang, Nachuan Xiao, Xin Liu

In this paper, we consider the nonsmooth nonconvex decentralized optimization problem, where inter-agent communication is compressed. We propose a general framework that unifies various decentralized stochastic subgradient-type methods with unbiased compression and contractive co…

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arxivcs.LGcs.AI2026-06-25

OpenMHC: Accelerating the Science of Wearable Foundation Models

Narayan Schuetz, Yuze Bai, Lianggang Pan, Edgar Eggert, Favour Nerrise, Juan Delgado-SanMartin, et al.

Mobile and wearable devices offer an unprecedented opportunity for continuous, passive health monitoring and active health coaching. However, the largest wearable datasets are not publicly available for research, and leading wearable foundation models trained on such datasets are…

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crossrefMachine Learning and Knowledge Extraction2026-05-23

Wavelet-Guided Mamba-Attention Network for Boundary-Aware Colorectal Polyp Segmentation

Xin Liu, Nor Ashidi Mat Isa, Chao Chen, Hanxu Liu, Chao Wang, Fajin Lv

Colorectal cancer is the third most commonly diagnosed cancer worldwide, and early detection of polyps via colonoscopy is essential for improving patient survival. However, automatic polyp segmentation faces three key challenges: balancing global context with local detail, deline…

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crossrefSensors2024-02-08Cited by 17

Gait Characterization in Duchenne Muscular Dystrophy (DMD) Using a Single-Sensor Accelerometer: Classical Machine Learning and Deep Learning Approaches

Albara Ah Ramli, Xin Liu, Kelly Berndt, Erica Goude, Jiahui Hou, Lynea B. Kaethler, et al.

Differences in gait patterns of children with Duchenne muscular dystrophy (DMD) and typically developing (TD) peers are visible to the eye, but quantifications of those differences outside of the gait laboratory have been elusive. In this work, we measured vertical, mediolateral,…

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