Publications (58)
Deep DIC: Deep Learning-Based Digital Image Correlation for End-to-End Displacement and Strain Measurement
Ru Yang, Yang Li, Danielle Zeng +1
Digital image correlation (DIC) has become an industry standard to retrieve accurate displacement and strain measurement in tensile testing and other material characterization. Tho…
Pulsar Candidate Selection Using Ensemble Networks for FAST Drift-Scan Survey
Hongfeng Wang, Weiwei Zhu, Ping Guo +13
The Commensal Radio Astronomy Five-hundred-meter Aperture Spherical radio Telescope (FAST) Survey (CRAFTS) utilizes the novel drift-scan commensal survey mode of FAST and can gener…
CTFS : Collaborative Teacher Framework for Forward-Looking Sonar Image Semantic Segmentation with Extremely Limited Labels
Ping Guo, Chengzhou Li, Guanchen Meng +6
As one of the most important underwater sensing technologies, forward-looking sonar exhibits unique imaging characteristics. Sonar images are often affected by severe speckle noise…
RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Features for Indoor Localization
Dongjiang Li, Jinyu Miao, Xuesong Shi +9
Feature extraction plays an important role in visual localization. Unreliable features on dynamic objects or repetitive regions will interfere with feature matching and challenge i…
Partial Differential Equations is All You Need for Generating Neural Architectures -- A Theory for Physical Artificial Intelligence Systems
Ping Guo, Kaizhu Huang, Zenglin Xu
In this work, we generalize the reaction-diffusion equation in statistical physics, Schrödinger equation in quantum mechanics, Helmholtz equation in paraxial optics into the neura…
On ductile-regime elliptical vibration cutting of silicon with identifying the lower bound of practical nominal cutting velocity
Jianjian Wang, Yang Yang, Zhiwei Zhu +3
This study investigates the ductile-to-brittle transition behavior in elliptical vibration cutting (EVC) of silicon and identifies the practical process window for ductile-regime c…
Systematic study of decay for isomer related nuclei within a two-potential approach
Xiao-Dong Sun, Ping Guo, Xiao-Hua Li
decay occurs in both ground states and isomers of nuclei. In this work, we use the two-potential approach to systematically study whether isomeric states play a key role on $Î…
Microstructure and phase transformation of nickel-titanium shape memory alloy fabricated by directed energy deposition with in-situ heat treatment
Shiming Gao, Ojo Philip Bodunde, Mian Qin +2
Additive manufacturing has been vastly applied to fabricate various structures of nickel-titanium (NiTi) shape memory alloys due to its flexibility to create complex structures wit…
Spatial characteristics of nickel-titanium shape memory alloy fabricated by continuous directed energy deposition
Shiming Gao, Fei Weng, Ojo Philip Bodunde +3
Additive manufacturing has been adopted to process nickel-titanium shape memory alloys due to its advantages of flexibility and minimal defects. The current layer-by-layer method i…
RSOD: Reliability-Guided Sonar Image Object Detection with Extremely Limited Labels
Chengzhou Li, Ping Guo, Guanchen Meng +7
Object detection in sonar images is a key technology in underwater detection systems. Compared to natural images, sonar images contain fewer texture details and are more susceptibl…
EvoVerilog: Large Langugage Model Assisted Evolution of Verilog Code
Ping Guo, Yiting Wang, Wanghao Ye +5
Large Language Models (LLMs) have demonstrated great potential in automating the generation of Verilog hardware description language code for hardware design. This automation is cr…
Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume
Ping Guo, Cheng Gong, Xi Lin +2
The escalating threat of adversarial attacks on deep learning models, particularly in security-critical fields, has underscored the need for robust deep learning systems. Conventio…
Systematic study of decay half-lives for even-even nuclei within a two-potential approach
Xiao-Dong Sun, Ping Guo, Xiao-Hua Li
decay is a common and important process for natural radioactivity of heavy and superheavy nuclei. The decay half-lives for even-even nuclei from Z=62 to Z=118 are systema…
SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning
Yiting Wang, Wanghao Ye, Ping Guo +11
Optimizing Register Transfer Level (RTL) code is crucial for improving the power, performance, and area (PPA) of digital circuits in the early stages of synthesis. Manual rewriting…
Quality-Diversity Optimization as Multi-Objective Optimization
Xi Lin, Ping Guo, Yilu Liu +2
The Quality-Diversity (QD) optimization aims to discover a collection of high-performing solutions that simultaneously exhibit diverse behaviors within a user-defined behavior spac…
Fast 360° 3D Metrology for Directed Energy Deposition
James Taylor, Jiazhang Wang, Guanzhong Hu +3
Directed Energy Deposition (DED) is a metal additive manufacturing process capable of building and repairing large, complex metal parts from a wide range of alloys. Its flexibility…
Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations
Zike Yan, Yuxin Tian, Xuesong Shi +3
Recent advances have enabled a single neural network to serve as an implicit scene representation, establishing the mapping function between spatial coordinates and scene propertie…
PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks
Ping Guo, Xiang Li, Zhiyuan Yang +3
Black-box query-based attacks constitute significant threats to Machine Learning as a Service (MLaaS) systems since they can generate adversarial examples without accessing the tar…
Machine Learning-Driven Creep Law Discovery Across Alloy Compositional Space
Hongshun Chen, Ryan Zhou, Rujing Zha +8
Hihg-temperature creep characterization of structural alloys traditionally relies on serial uniaxial tests, which are highly inefficient for exploring the large search space of all…
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
Ping Guo, Cheng Gong, Xi Lin +4
Crafting adversarial examples is crucial for evaluating and enhancing the robustness of Deep Neural Networks (DNNs), presenting a challenge equivalent to maximizing a non-different…
EvoEngineer: Mastering Automated CUDA Kernel Code Evolution with Large Language Models
Ping Guo, Chenyu Zhu, Siyuan Chen +4
CUDA kernel optimization has become a critical bottleneck for AI performance, as deep learning training and inference efficiency directly depends on highly optimized GPU kernels. D…
L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks
Ping Guo, Fei Liu, Xi Lin +2
In the rapidly evolving field of machine learning, adversarial attacks present a significant challenge to model robustness and security. Decision-based attacks, which only require…
A VEST of the Pseudoinverse Learning Algorithm
Ping Guo
In this paper, we briefly review the basic scheme of the pseudoinverse learning (PIL) algorithm and present some discussions on the PIL, as well as its variants. The PIL algorithm,…
Manufacturing Micro-Patterned Surfaces with Multi-Robot Systems
Annalisa T. Taylor, Malachi Landis, Ping Guo +1
Applying micro-patterns to surfaces has been shown to impart useful physical properties such as drag reduction and hydrophobicity. However, current manufacturing techniques cannot…
Layer-Wise Anomaly Detection in Directed Energy Deposition using High-Fidelity Fringe Projection Profilometry
Guanzhong Hu, Wenpan Li, Rujing Zha +1
Directed energy deposition (DED), a metal additive manufacturing process, is highly susceptible to process-induced defects such as geometric deviations, lack of fusion, and poor su…
Correlation-driven topological and valley states in monolayer VSiP
Si Li, Qianqian Wang, Chunmei Zhang +2
Electronic correlations could have significant impact on the material properties. They are typically pronounced for localized orbitals and enhanced in low-dimensional systems, so t…
Dynamics in direct two-photon transition by frequency combs
Lin Dan, Hao Xu, Ping Guo +1
Two-photon resonance transition technology has been proven to have a wide range of applications,it's limited by the available wavelength of commercial lasers.The application of opt…
Adapting Short-Term Transformers for Action Detection in Untrimmed Videos
Min Yang, Huan Gao, Ping Guo +1
Vision Transformer (ViT) has shown high potential in video recognition, owing to its flexible design, adaptable self-attention mechanisms, and the efficacy of masked pre-training.…
Stochastic trajectory prediction with social graph network
Lidan Zhang, Qi She, Ping Guo
Pedestrian trajectory prediction is a challenging task because of the complexity of real-world human social behaviors and uncertainty of the future motion. For the first issue, exi…
LLM4AD: A Platform for Algorithm Design with Large Language Model
Fei Liu, Rui Zhang, Zhuoliang Xie +10
We introduce LLM4AD, a unified Python platform for algorithm design (AD) with large language models (LLMs). LLM4AD is a generic framework with modularized blocks for search methods…
EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous Variables
Penglei Gao, Xi Yang, Rui Zhang +3
While exogenous variables have a major impact on performance improvement in time series analysis, inter-series correlation and time dependence among them are rarely considered in t…
Pulsar Candidate Identification with Artificial Intelligence Techniques
Ping Guo, Fuqing Duan, Pei Wang +3
Discovering pulsars is a significant and meaningful research topic in the field of radio astronomy. With the advent of astronomical instruments such as he Five-hundred-meter Apertu…
Synergetic Learning Systems: Concept, Architecture, and Algorithms
Ping Guo, Qian Yin
Drawing on the idea that brain development is a Darwinian process of ``evolution + selection'' and the idea that the current state is a local equilibrium state of many bodies with…
CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models
Ping Guo, Qingfu Zhang, Xi Lin
The discovery of symbolic solutions -- mathematical expressions, logical rules, and algorithmic structures -- is fundamental to advancing scientific and engineering progress. Howev…
Tailoring Bulk Photovoltaic Effects in Magnetic Sliding Ferroelectric Materials
Chunmei Zhang, Ping Guo, Jian Zhou
The bulk photovoltaic effect that is intimately associated with crystalline symmetry has been extensively studied in various nonmagnetic materials, especially ferroelectrics with a…
Code Evolution for Control: Synthesizing Policies via LLM-Driven Evolutionary Search
Ping Guo, Chao Li, Yinglan Feng +1
Designing effective control policies for autonomous systems remains a fundamental challenge, traditionally addressed through reinforcement learning or manual engineering. While rei…
Fabrication of Fiber-Reinforced Polymer Ceramic Composites by Wet Electrospinning
Yunzhi Xu, Junior Ndayikengurukiye, Ange-Therese Akono +1
We propose a novel approach of wet electrospinning to yield fiber-reinforced polymer ceramic composites, where a reactive ceramic precursor gel is used as a collector. We illustrat…
Systematic study of favored α-decay half-lives of closed shell odd-A and doubly-odd nuclei related to ground and isomeric states
Xiao-Dong Sun, Ping Guo, Xiao-Hua Li
In this work, we systematically investigate the favored -decay half-lives and preformation probabilities of both odd- and doubly-odd nuclei related to ground and isomer…
MuRating: A High Quality Data Selecting Approach to Multilingual Large Language Model Pretraining
Zhixun Chen, Ping Guo, Wenhan Han +10
Data quality is a critical driver of large language model performance, yet existing model-based selection methods focus almost exclusively on English. We introduce MuRating, a scal…
Stiffness modeling for near field acoustic levitation bearings
Yaoke Wang, Ping Guo
The dynamic characteristics of near-field levitation bearings have been investigated in this study. Through theoretical analysis, two different types of system stiffness are define…
InfoLaw: Information Scaling Laws for Large Language Models with Quality-Weighted Mixture Data and Repetition
Fengze Liu, Weidong Zhou, Binbin Liu +7
Upweighting high-quality data in LLM pretraining often improves performance, but in datalimited regimes, especially under overtraining, stronger upweighting increases repetition an…
A Systematic Survey on Large Language Models for Algorithm Design
Fei Liu, Yiming Yao, Ping Guo +9
Algorithm design is crucial for effective problem-solving across various domains. The advent of Large Language Models (LLMs) has notably enhanced the automation and innovation with…
A Machine Learning Based Forwarding Algorithm Over Cognitive Radios in Wireless Mesh Networks
Jianjun Yang, Ju Shen, Ping Guo +2
Wireless Mesh Networks improve their capacities by equipping mesh nodes with multi-radios tuned to non-overlapping channels. Hence the data forwarding between two nodes has multipl…
Two-dimensional Multi-fiber Spectrum Image Correction Based on Machine Learning Techniques
Jiali Xu, Qian Yin, Ping Guo +1
Due to limited size and imperfect of the optical components in a spectrometer, aberration has inevitably been brought into two-dimensional multi-fiber spectrum image in LAMOST, whi…
Systematic study of decay for odd- nuclei within a two-potential approach
Xiao-Dong Sun, Chao Duan, Jun-Gang Deng +2
decay is usually associated with both ground and low-lying isomeric states of heavy and superheavy nuclei, and the unpaired nucleon plays a key role on decay. In this wor…
STEP-LLM: Generating CAD STEP Models from Natural Language with Large Language Models
Xiangyu Shi, Junyang Ding, Xu Zhao +8
Computer-aided design (CAD) is vital to modern manufacturing, yet model creation remains labor-intensive and expertise-heavy. To enable non-experts to translate intuitive design in…
Adaptive Digital Twin of Sheet Metal Forming via Proper Orthogonal Decomposition-Based Koopman Operator with Model Predictive Control
Yi-Ping Chen, Derick Suarez, Ying-Kuan Tsai +6
Digital Twin (DT) technologies are transforming manufacturing by enabling real-time prediction, monitoring, and control of complex processes. Yet, applying DT to deformation-based…
CLSEG: Contrastive Learning of Story Ending Generation
Yuqiang Xie, Yue Hu, Luxi Xing +3
Story Ending Generation (SEG) is a challenging task in natural language generation. Recently, methods based on Pre-trained Language Models (PLM) have achieved great prosperity, whi…
Combined Descriptors in Spatial Pyramid Domain for Image Classification
Junlin Hu, Ping Guo
Recently spatial pyramid matching (SPM) with scale invariant feature transform (SIFT) descriptor has been successfully used in image classification. Unfortunately, the codebook gen…
EMMA-X: An EM-like Multilingual Pre-training Algorithm for Cross-lingual Representation Learning
Ping Guo, Xiangpeng Wei, Yue Hu +4
Expressing universal semantics common to all languages is helpful in understanding the meanings of complex and culture-specific sentences. The research theme underlying this scenar…
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables
Ping Guo, Qingfu Zhang, Xi Lin
In many real-world applications, the Pareto Set (PS) of a continuous multiobjective optimization problem can be a piecewise continuous manifold. A decision maker may want to find a…
Few-for-Many Personalized Federated Learning
Ping Guo, Tiantian Zhang, Xi Lin +3
Personalized Federated Learning (PFL) aims to train customized models for clients with highly heterogeneous data distributions while preserving data privacy. Existing approaches of…
Exploring Polyglot Harmony: On Multilingual Data Allocation for Large Language Models Pretraining
Ping Guo, Yubing Ren, Binbin Liu +6
Large language models (LLMs) have become integral to a wide range of applications worldwide, driving an unprecedented global demand for effective multilingual capabilities. Central…
Data-Centric Visual Development for Self-Driving Labs
Anbang Liu, Guanzhong Hu, Jiayi Wang +2
Self-driving laboratories offer a promising path toward reducing the labor-intensive, time-consuming, and often irreproducible workflows in the biological sciences. Yet their strin…
Lightweight LLM Agent Memory with Small Language Models
Jiaquan Zhang, Chaoning Zhang, Shuxu Chen +9
Although LLM agents can leverage tools for complex tasks, they still need memory to maintain cross-turn consistency and accumulate reusable information in long-horizon interactions…
AgenticCANN: Automated Ascend C Operator Generation via Knowledge-Augmented Agentic Evolution
Junhao Qiu, Zidong Wang, Yansong Sun +3
The paper introduces AgenticCANN, a framework that uses large language models combined with knowledge‑augmented, stage‑adaptive agents to automatically generate and optimize Ascend…
A Spectral Nonlocal Block for Neural Networks
Lei Zhu, Qi She, Lidan Zhang +1
The nonlocal-based blocks are designed for capturing long-range spatial-temporal dependencies in computer vision tasks. Although having shown excellent performances, they lack the…
Molten pool characteristics of a nickel-titanium shape memory alloy for directed energy deposition
Shiming Gao, Yuncong Feng, Jianjian Wang +4
Fabrication of nickel-titanium shape memory alloy through additive manufacturing has attracted increasing interest due to its advantages of flexible manufacturing capability, low-c…