Publications (43)
Large Language Models for Traffic and Transportation Research: Methodologies, State of the Art, and Future Opportunities
Yimo Yan, Yejia Liao, Guanhao Xu +13
The rapid rise of Large Language Models (LLMs) is transforming traffic and transportation research, with significant advancements emerging between the years 2023 and 2025 -- a peri…
AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure
Zhiyang Zhang, Xi Chen, Fangkai Yang +7
Large language model (LLM)-based AI delegates are increasingly utilized to act on behalf of users, assisting them with a wide range of tasks through conversational interfaces. Desp…
AIM 2019 Challenge on Image Demoireing: Methods and Results
Shanxin Yuan, Radu Timofte, Gregory Slabaugh +25
This paper reviews the first-ever image demoireing challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ICCV 2019. This paper desc…
Corporate Credit Rating: A Survey
Bojing Feng, Xi Cheng, Dan Li +2
Corporate credit rating (CCR) plays a very important role in the process of contemporary economic and social development. How to use credit rating methods for enterprises has alway…
SheetMind: An End-to-End LLM-Powered Multi-Agent Framework for Spreadsheet Automation
Xi Cheng, Ruiyan Zhu, Ke Liu +8
SheetMind is a modular multi‑agent framework that uses large language models to translate natural‑language instructions into spreadsheet actions, employing manager, action, and ref…
Oxygen Evolution Reaction on Perovskites: A Multieffect Descriptor Study Combining Experimental and Theoretical Methods
Xi Cheng, Emiliana Fabbri, Yuya Yamashita +6
The correlation between ex situ electronic conductivity, oxygen vacancy content, flat-band potential (Efb), and the oxygen evolution reaction (OER) activity for a wide range of per…
Constraint-Aware Feature Learning for Parametric Point Cloud
Xi Cheng, Ruiqi Lei, Di Huang +5
Parametric point clouds are sampled from CAD shapes and are becoming increasingly common in industrial manufacturing. Most CAD-specific deep learning methods focus on geometric fea…
Probing levitodynamics with multi-stochastic forces and the simple applications on the dark matter detection in optical levitation experiment
Xi Cheng, Ji-Heng Guo, Wenyu Wang +1
If the terrestrial environment is permeated by dark matter, the levitation experiences damping forces and fluctuations attributed to dark matter. This paper investigates levitodyna…
Large-Scale FPGA-Based Privacy Amplification Exceeding Bits for Quantum Key Distribution
Xi Cheng, Hao-kun Mao, Hong-wei Xu +1
Privacy Amplification (PA) is indispensable in Quantum Key Distribution (QKD) post-processing, as it eliminates information leakage to eavesdroppers. Field-programmable gate arrays…
GMBFormer: An NDVI-Guided Global Memory Bank Transformer for Urban Green-Space Extraction from Ultra-High-Resolution Imagery
Hao Lei, Xi Cheng, Chenlu Shu +4
Urban green-space extraction from ultra-high-resolution (UHR) imagery is commonly performed patch by patch, which limits semantic reuse among spatially separated but visually simil…
Multi-View Hierarchical Graph Neural Network for Sketch-Based 3D Shape Retrieval
Hang Cheng, Muyan He, Mingyu Fan +3
Sketch-based 3D shape retrieval (SBSR) aims to retrieve 3D shapes that are consistent with the category of the input hand-drawn sketch. The core challenge of this task lies in two…
Intelligent Painter: Picture Composition With Resampling Diffusion Model
Wing-Fung Ku, Wan-Chi Siu, Xi Cheng +1
Have you ever thought that you can be an intelligent painter? This means that you can paint a picture with a few expected objects in mind, or with a desirable scene. This is differ…
Highly Active Nanoperovskite Catalysts for Oxygen Evolution Reaction: Insights into Activity and Stability of Ba0.5Sr0.5Co0.8Fe0.2O3 and PrBaCo2O6
Bae Jung Kim, Xi Cheng, Daniel Abbott +9
It is shown that producing PrBaCo2O5 and Ba0.5Sr0.5Co0.8Fe0.2O3 nanoparticle by a scalable synthesis method leads to high mass activities for the oxygen evolution reaction with out…
Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management
Xi Cheng, Ke Liu, Siyuan Feng +2
The paper formulates and solves a cost‑optimal deployment problem for foundation models in transportation management centers, balancing quality, latency, safety, and GPU budget con…
A Crowdsensing Intrusion Detection Dataset For Decentralized Federated Learning Models
Chao Feng, Alberto Huertas Celdran, Jing Han +6
This paper introduces a dataset and an experimental study on Decentralized Federated Learning (DFL) for Internet of Things (IoT) crowdsensing malware detection. The dataset compris…
xASTNN: Improved Code Representations for Industrial Practice
Zhiwei Xu, Min Zhou, Xibin Zhao +3
The application of deep learning techniques in software engineering becomes increasingly popular. One key problem is developing high-quality and easy-to-use source code representat…
Polynomial Regression As an Alternative to Neural Nets
Xi Cheng, Bohdan Khomtchouk, Norman Matloff +1
Despite the success of neural networks (NNs), there is still a concern among many over their "black box" nature. Why do they work? Here we present a simple analytic argument that N…
Smart Navigation System for Parking Assignment at Large Events: Incorporating Heterogeneous Driver Characteristics
Xi Cheng, Tong Liu, Gaofeng Su +5
Parking challenges escalate significantly during large events such as concerts and sports games, yet few studies address dynamic parking lot assignments in these occasions. This pa…
Flight Path Optimization with Optimal Control Method
Gaofeng Su, Xi Cheng, Siyuan Feng +5
This paper is based on a crucial issue in the aviation world: how to optimize the trajectory and controls given to the aircraft in order to optimize flight time and fuel consumptio…
Fast and Light-Weight Network for Single Frame Structured Illumination Microscopy Super-Resolution
Xi Cheng, Jun Li, Qiang Dai +2
Structured illumination microscopy (SIM) is an important super-resolution based microscopy technique that breaks the diffraction limit and enhances optical microscopy systems. With…
The solid-state Li-ion conductor LiTaO: A combined computational and experimental study
Leonid Kahle, Xi Cheng, Tobias Binninger +8
We study the oxo-hexametallate LiTaO with first-principles and classical molecular dynamics simulations, obtaining a low activation barrier for diffusion of 0.29 eV a…
Integrating Natural Language Processing and Exercise Monitoring for Early Diagnosis of Metabolic Syndrome: A Deep Learning Approach
Yichen Zhao, Yuhua Wang, Xi Cheng +2
Metabolic syndrome (MetS) is a medication condition characterized by abdominal obesity, insulin resistance, hypertension and hyperlipidemia. It increases the risk of majority of ch…
V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models
Junwei You, Haotian Shi, Zhuoyu Jiang +6
Vehicle-to-everything (V2X) cooperation has emerged as a promising paradigm to overcome the perception limitations of classical autonomous driving by leveraging information from bo…
Multi-scale Dynamic Feature Encoding Network for Image Demoireing
Xi Cheng, Zhenyong Fu, Jian Yang
The prevalence of digital sensors, such as digital cameras and mobile phones, simplifies the acquisition of photos. Digital sensors, however, suffer from producing Moire when photo…
Weak anharmonicity sensing by single- and two-photon drives
Shi-Yu Zeng, Chao-Qun Ai, Xi Cheng +2
The optical cavity undergoes a quantum phase transition when the strength of a two-photon drive exceeds a critical point (CP), and the great sensitivity of CP in sensing has been r…
Dance of Fireworks: An Interactive Broadcast Gymnastics Training System Based on Pose Estimation
Haotian Chen, Ziyu Liu, Xi Cheng +1
This study introduces Dance of Fireworks, an interactive system designed to combat sedentary health risks by enhancing engagement in radio calisthenics. Leveraging mobile device ca…
AI-Driven Adaptive Air Transit Network with Modular Aerial Pods
Amir Shafiee, Alireza Yazdiani, Hanieh Rastegar +9
This paper presents an adaptive air transit network leveraging modular aerial pods and artificial intelligence (AI) to address urban mobility challenges. Passenger demand, forecast…
Training-Free Point Cloud Recognition Based on Geometric and Semantic Information Fusion
Yan Chen, Di Huang, Zhichao Liao +3
The trend of employing training-free methods for point cloud recognition is becoming increasingly popular due to its significant reduction in computational resources and time costs…
MOT: A Mixture of Actors Reinforcement Learning Method by Optimal Transport for Algorithmic Trading
Xi Cheng, Jinghao Zhang, Yunan Zeng +1
Algorithmic trading refers to executing buy and sell orders for specific assets based on automatically identified trading opportunities. Strategies based on reinforcement learning…
Smart Navigation System for Parking Assignment at Large Events: Incorporating Heterogeneous Driver Characteristics
Xi Cheng, Gaofeng Su, Siyuan Feng +5
Parking challenges escalate significantly during large events such as concerts or sports games, yet few studies address dynamic parking lot assignments for such occasions. This pap…
LLM-MLFFN: Multi-Level Autonomous Driving Behavior Feature Fusion via Large Language Model
Xiangyu Li, Tianyi Wang, Xi Cheng +5
Accurate classification of autonomous vehicle (AV) driving behaviors is critical for safety validation, performance diagnosis, and traffic integration analysis. However, existing a…
SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks
Xi Cheng, Xiang Li, Ying Tai +1
Single image super resolution is a very important computer vision task, with a wide range of applications. In recent years, the depth of the super-resolution model has been constan…
SDGraph: Multi-Level Sketch Representation Learning by Sparse-Dense Graph Architecture
Xi Cheng, Pingfa Feng, Mingyu Fan +3
Freehand sketches exhibit unique sparsity and abstraction, necessitating learning pipelines distinct from those designed for images. For sketch learning methods, the central object…
Leveraging Large Language Models for Enhanced Digital Twin Modeling: Trends, Methods, and Challenges
Linyao Yang, Shi Luo, Xi Cheng +1
Digital twin technology is a transformative innovation driving the digital transformation and intelligent optimization of manufacturing systems. By integrating real-time data with…
Transferable FB-GNN-MBE Framework for Potential Energy Surfaces: Data-Adaptive Transfer Learning in Deep Learned Many-Body Expansion Theory
Siqi Chen, Zhiqiang Wang, Yili Shen +8
Mechanistic understanding and rational design of complex chemical systems depend on fast and accurate predictions of electronic structures beyond individual building blocks. Howeve…
ARIMA_PLUS: Large-scale, Accurate, Automatic and Interpretable In-Database Time Series Forecasting and Anomaly Detection in Google BigQuery
Xi Cheng, Weijie Shen, Haoming Chen +14
Time series forecasting and anomaly detection are common tasks for practitioners in industries such as retail, manufacturing, advertising and energy. Two unique challenges stand ou…
NTIRE 2020 Challenge on Image Demoireing: Methods and Results
Shanxin Yuan, Radu Timofte, Ales Leonardis +43
This paper reviews the Challenge on Image Demoireing that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2020. Demo…
EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting
Mingxing Xu, Rakesh Chowdary Machineni, Ke Liu +7
The paper introduces EMAGN, a graph neural network that uses learned clustering to linearize multi-head attention, enabling scalable traffic forecasting with reduced computation an…
CausalMamba: Interpretable State Space Modeling for Temporal Rumor Causality
Xiaotong Zhan, Xi Cheng
Rumor detection on social media remains a challenging task due to the complex propagation dynamics and the limited interpretability of existing models. While recent neural architec…
Deep Reinforcement Learning for Real-Time Ground Delay Program Revision and Corresponding Flight Delay Assignments
Ke Liu, Fan Hu, Hui Lin +6
This paper explores the optimization of Ground Delay Programs (GDP), a prevalent Traffic Management Initiative used in Air Traffic Management (ATM) to reconcile capacity and demand…
Triple Attention Mixed Link Network for Single Image Super Resolution
Xi Cheng, Xiang Li, Jian Yang
Single image super resolution is of great importance as a low-level computer vision task. Recent approaches with deep convolutional neural networks have achieved im-pressive perfor…
GreenDFL: a Framework for Assessing the Sustainability of Decentralized Federated Learning Systems
Chao Feng, Alberto Huertas Celdrán, Xi Cheng +2
Decentralized Federated Learning (DFL) is an emerging paradigm that enables collaborative model training without centralized data and model aggregation, enhancing privacy and resil…
Airport Delay Prediction with Temporal Fusion Transformers
Ke Liu, Kaijing Ding, Xi Cheng +9
Since flight delay hurts passengers, airlines, and airports, its prediction becomes crucial for the decision-making of all stakeholders in the aviation industry and thus has been a…