Xiang Li

Physics-constrained learning framework for trustworthy microrobot navigation autonomy

Jiachi Zhao, Yamei Li, Y W Sun, Yue Wang, Aoji Zhu, Danjing Shi, et al.

Machine learning has become an emerging paradigm for microrobotics, enabling autonomous micro-/nanorobot navigation in complex and highly disturbed environments without requirements of precise models. However, the state-of-the-art learning-based methods adopt “black-box” neural n…Read more

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…Read more

Integrated Triboelectric Energy Harvesting and Displacement Monitoring for Low-Frequency Railway Bridge Vibrations

Lixia Meng, Z X Wang, Chao Li, X. J. Bi, Shiming Liu, Xiang Li

Achieving sustainable structural health monitoring remains a critical challenge for intelligent railway infrastructures, where distributed sensing networks require continuous power supply and long-term maintenance. Although low-frequency railway bridge vibrations simultaneously c…Read more

Photogrammetry and 3D Gaussian Splatting for Cultural Heritage. Pros, Cons and Main Differences

Xinchen Li, Alessio Martino, Filiberto Chiabrando, Xiang Li

Abstract. This paper presents a comparative analysis of traditional photogrammetric methods and 3D Gaussian Splatting (3DGS) technology in the digitisation of Cultural Heritage (CH). Two representative datasets, differing in scale and image acquisition conditions, were selected t…Read more

Acoustic Mixed Photothermal Actuators for Multimodal Amphibious Robots

Wenbo Ma, Peiyang Huang, Xiang Li, Xiaobin Zhan, Min Li, Shulan Jiang, et al.

ABSTRACT Fabricating high performance light‐driven soft actuators remains challenging due to the viscosity limited dispersion of photothermal agents, which induces structural defects and attenuates the resulting photomechanical response. Herein, an acoustic vibration mixing (AVM)…Read more

RL-MACRO: A Cybernetic Closed-Loop Intelligence Framework for Multimodal Adaptive Robotic Craniotomy

Xiao Zhang, Jiaxuan Li, Renzhen Le, Di Wu, Chao Sun, Jiachen Zhu, et al.

Autonomous robotic craniotomy requires continuous regulation of tool-tissue interactions to mitigate mechanical overload and thermal damage while maintaining surgical efficiency. However, this process is inherently partially observable due to unknown, time-varying tissue properti…Read more

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos

Penglei Sun, Yehua Huang, Zhuoli Tao, Xiang Li, Runwei Guan, Yaoxian Song, et al.

Language-guided aerial perception aims to understand user-specified tiny targets in complex unmanned aerial vehicle (UAV) scenes. In real UAV deployment, the UAV must respond while it flies, so such perception runs in an online streaming manner, where frames arrive sequentially a…Read more

Quantum Machine Learning: Bridging Quantum Computing & Machine Learning

Wei Zhang, Tianming Liu, Yingfeng Wang, Xiang Li, James Hendler, Thilanka Munasinghe, et al.

Exo2EgoPose: Leveraging Exocentric Demonstrations for Vision-Language guided Egocentric 3D Hand Pose Forecasting

Zhaofeng Shi, Heqian Qiu, Lanxiao Wang, Xiang Li, Hongliang Li

Perceiving multimodal cues and forecasting fine-grained actions from an egocentric (Ego) perspective is vital for applications like robot manipulation. However, previous studies either rely mainly on under-informed visual inputs to predict coarse human motions or follow the VRM/V…Read more

ShortOPD: Recovering Pruned LLMs with Short-to-Long On-Policy Distillation

Qingyu Zhang, Qianhao Yuan, Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun, et al.

Structured pruning is a hardware-friendly way to compress LLMs, but it is mostly validated on multiple-choice recognition tasks, while the same compressed checkpoints can collapse on the free-form generation that deployment actually requires. Two observations trace this gap. Firs…Read more

EVOQUANT: Self-Evolving Verifier-Guided Strategy Optimization for Robust Quantitative Trading

Jie Mao, Changlun Li, Xiang Li, Qiqi Duan, Jinhui Yuan, Xiang Liu, et al.

Quantitative strategy optimization remains largely manual, requiring domain experts to identify weak signals, tune risk-control rules, and repeatedly validate iterative revisions. Large language models can accelerate this process, but directly relying on them to rewrite trading s…Read more

Weaving Light and Time: Unified Harmonic-Geometric Representation Learning for Dense RGB-Event Parsing

Chenxu Peng, Chongtian zhou, Dicheng Liu, Bo-Wen Yin, Yimian Dai, Xialei Liu, et al.

Fusing standard RGB frames with asynchronous event streams has emerged as a definitive paradigm for robust perception in degraded environments. Although unified backbones have recently gained traction in multi-modal vision, adapting them to the RGB-Event domain remains fundamenta…Read more

Selective Disclosure Watermarking for Large Language Models

Xuyang Chen, Xiang Li, Yangxinyu Xie, Qi Long

Watermarking methods embed imperceptible and verifiable signals into text generated by large language models (LLMs). Existing approaches include zero-bit schemes for distinguishing synthetic text from human writing and multi-bit schemes for embedding metadata. However, current mu…Read more

HUGS: Guiding Unified Dexterous Grasp Synthesis Across Modes and Scales via Learned Human Priors

Mingrui Yu, Yongpeng Jiang, Yongyi Jia, Kangchen Lv, Li Huang, Yi Ren, et al.

Dexterous grasping across diverse object scales requires contact modes ranging from two-finger pinches to bimanual grasps. Existing dexterous grasp synthesis methods reduce the high-dimensional optimization space with manually designed expected contacts and initialization heurist…Read more

CoorGrasp: Coordinated Contact Control for Adaptive Dexterous Grasping Under Uncertainty

Mingrui Yu, Yongpeng Jiang, Yongyi Jia, Ren Yi, Xiang Li

While recent research has focused heavily on dexterous grasp pose generation, less attention has been devoted to the execution of planned grasps. Under shape and position uncertainty, open-loop execution often yields uncoordinated contacts, causing undesired in-hand object motion…Read more

CDR-Bench: Evaluating Faithful Execution of Compositional, Order-Sensitive Data Refinement Recipes

Yuchen Huang, Xiang Li, Zhenqing Ling, Sijia Li, Qianli Shen, Daoyuan Chen, et al.

Data refinement involves executing multi-step recipes over evolving text states, where both composition and execution order of processing operators determine the outcome. While existing benchmarks either isolate text editing or entangle it with code and tool execution, it remains…Read more

Chronos: A Physics-Informed Full-History Framework for Non-Markovian Long-Horizon Manipulation

Yulin Zhou, Yimeng Wang, Nengyu Wang, Shaojia Xing, Shiyun Tu, Xiang Li, et al.

General-purpose robot policies should be modeled as dynamical systems, yet many VLA and generative imitation policies still rely on present observations or short windows. This Markovian shortcut fails in memory-dependent manipulation: identical observations can demand different a…Read more

One Scene, Two Depths: Probing Geometric Ambiguity in Monocular Foundation Models

Xiaohao Xu, Feng Xue, Xiang Li, Haowei Li, Shusheng Yang, Tianyi Zhang, et al.

A faithful 3D world representation should account for layered geometry, where a single camera ray may contain multiple visible and geometrically valid surfaces. Monocular depth estimation, however, reduces this structure to one scalar depth per pixel. Transparent scenes make this…Read more