Publications (97)
Diffeomorphism Invariance of Geometric Descriptions of Palatini and Ashtekar Gravity
Yan Luo, Ming-Xue Shao, Zhong-Yuan Zhu
In this paper, we explicitly prove the presymplectic forms of the Palatini and Ashtekar gravity to be zero along gauge orbits of the Lorentz and diffeomorphism groups, which ensure…
GeoWorld-VLM: Geometry from World Models for Vision-Language Models
Renjie Gu, Kaichen Zhou, Yan Luo +1
Modern Vision-Language Models (VLMs) achieve strong semantic recognition, yet remain brittle on elementary spatial relations such as left of, on, behind, and between. One cause of…
An approximate solution of a case of perturbed Fokker-Planck equation
Yan Luo, Kaicheng Sheng
This paper focuses on finding an approximate solution of a kind of Fokker-Planck equation with time-dependent perturbations. A formulation of the approximate solution of the equati…
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification
Yu Tian, Congcong Wen, Min Shi +6
Addressing fairness in artificial intelligence (AI), particularly in medical AI, is crucial for ensuring equitable healthcare outcomes. Recent efforts to enhance fairness have intr…
On Demographic Group Fairness Guarantees in Deep Learning
Yan Luo, Congcong Wen, Min Shi +3
We present a theoretical framework analyzing the relationship between data distributions and fairness guarantees in equitable deep learning. We establish novel bounds that account…
Spontaneous Enhancement of Dzyaloshinskii-Moriya Interaction via Field-Cooling-Induced Interface Engineering in 2D van der Waals Ferromagnetic ternary Tellurides
Shian Xia, Yan Luo, Iftikhar Ahmed Malik +11
The emergence of two-dimensional (2D) van der Waals (vdW) ferromagnets has opened new avenues for exploring topological spin textures and their applications in next-generation spin…
Long-lived Sterile Neutrino Searches at Future Muon Colliders
Qi Bi, Jinhui Guo, Jia Liu +2
We explore the potential of studying sterile neutrinos at a future high-energy muon collider, where these particles can generate small active neutrino masses via the seesaw mechani…
Learning to Predict Gradients for Semi-Supervised Continual Learning
Yan Luo, Yongkang Wong, Mohan Kankanhalli +1
A key challenge for machine intelligence is to learn new visual concepts without forgetting the previously acquired knowledge. Continual learning is aimed towards addressing this c…
DA-Occ: Direction-Aware 2D Convolution for Efficient and Geometry-Preserving 3D Occupancy Prediction in Autonomous Driving
Yuchen Zhou, Yan Luo, Xiaogang Wang +3
Efficient and high-accuracy 3D occupancy prediction is vital for the performance of autonomous driving systems. However, existing methods struggle to balance precision and efficien…
Investigation of the concurrent effects of ALP-photon and ALP-electron couplings in Collider and Beam Dump Searches
Jia Liu, Yan Luo, Muyuan Song
Axion-like particles (ALPs) have been studied in numerous experiments to search for their interactions, but most studies have focused on deriving bounds for the single coupling. Ho…
Passive Motion Detection via mmWave Communication System
Jie Li, Chao Yu, Yan Luo +2
In this paper, an integrated passive sensing and communication system working in 60 GHz band is elaborated, and the sensing performance is investigated in an application of hand ge…
Long-lived Searches of Vector-like Lepton and Its Accompanying Scalar at Colliders
Qing-Hong Cao, Jinhui Guo, Jia Liu +2
Recently, the vector-like leptons (VLLs) as a simple extension to the standard model (SM) have attracted widespread attention both in theory and experiments. The present collider s…
VAGS: Velocity Adaptive Guidance Scale for Image Editing and Generation
Yan Luo, Ahmadou Aidara, Jingyi Lu +3
Classifier-free guidance (CFG) is the primary control over how strongly text semantics move a flow-based sampler, yet standard practice holds its scale fixed across the entire ODE…
A New Task: Deriving Semantic Class Targets for the Physical Sciences
Micah Bowles, Hongming Tang, Eleni Vardoulaki +8
We define deriving semantic class targets as a novel multi-modal task. By doing so, we aim to improve classification schemes in the physical sciences which can be severely abstract…
MedFLIP: Medical Vision-and-Language Self-supervised Fast Pre-Training with Masked Autoencoder
Lei Li, Tianfang Zhang, Xinglin Zhang +4
Within the domain of medical analysis, extensive research has explored the potential of mutual learning between Masked Autoencoders(MAEs) and multimodal data. However, the impact o…
BBS: A Blockchain Big-Data Sharing System
Shan Wang, Ming Yang, Tingjian Ge +2
Chain of custody is needed to document the sequence of custody of sensitive big data. In this paper, we design a blockchain big-data sharing system (BBS) based on Hyperledger Fabri…
Learning to Predict Trustworthiness with Steep Slope Loss
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli +1
Understanding the trustworthiness of a prediction yielded by a classifier is critical for the safe and effective use of AI models. Prior efforts have been proven to be reliable on…
3D Aggregated Faster R-CNN for General Lesion Detection
Ning Zhang, Yu Cao, Benyuan Liu +1
Lesions are damages and abnormalities in tissues of the human body. Many of them can later turn into fatal diseases such as cancers. Detecting lesions are of great importance for e…
Multi-Task Hierarchical Learning Based Network Traffic Analytics
Onur Barut, Yan Luo, Tong Zhang +2
Classifying network traffic is the basis for important network applications. Prior research in this area has faced challenges on the availability of representative datasets, and ma…
FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling
Yan Luo, Muhammad Osama Khan, Yu Tian +5
Equity in AI for healthcare is crucial due to its direct impact on human well-being. Despite advancements in 2D medical imaging fairness, the fairness of 3D models remains underexp…
Bifurcations of a nonlinear spherical pendulum with vibrating suspension point
Yan Luo, Kaicheng Sheng
This paper considers a nonlinear spherical pendulum whose suspension point performs high-frequency spatial vibrations. The dynamics of this pendulum can be described by averaging i…
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization
Yan Luo, Yu Tian, Min Shi +5
Fairness (also known as equity interchangeably) in machine learning is important for societal well-being, but limited public datasets hinder its progress. Currently, no dedicated p…
A model local interpretation routine for deep learning based radio galaxy classification
Hongming Tang, Shiyu Yue, Zijun Wang +5
Radio galaxy morphological classification is one of the critical steps when producing source catalogues for large-scale radio continuum surveys. While many recent studies attempted…
FairCLIP: Harnessing Fairness in Vision-Language Learning
Yan Luo, Min Shi, Muhammad Osama Khan +9
Fairness is a critical concern in deep learning, especially in healthcare, where these models influence diagnoses and treatment decisions. Although fairness has been investigated i…
VRS-UIE: Value-Driven Reordering Scanning for Underwater Image Enhancement
Kui Jiang, Yan Luo, Junjun Jiang +3
State Space Models (SSMs) have emerged as a promising backbone for vision tasks due to their linear complexity and global receptive field. However, in the context of Underwater Ima…
BOSS: A Blockchain Off-State Sharing System
Shan Wang, Ming Yang, Tingjian Ge +2
Blockchain has been applied to data sharing to ensure the integrity of data and chain of custody. Sharing big data such as large biomedical data files is a challenge to blockchain…
Cut-and-Paste: Subject-Driven Video Editing with Attention Control
Zhichao Zuo, Zhao Zhang, Yan Luo +4
This paper presents a novel framework termed Cut-and-Paste for real-word semantic video editing under the guidance of text prompt and additional reference image. While the text-dri…
StoryLensEdu: Personalized Learning Report Generation through Narrative-Driven Multi-Agent Systems
Leixian Shen, Yan Luo, Rui Sheng +4
Personalized feedback plays an important role in self-regulated learning (SRL), helping students track progress and refine their strategies. However, current common solutions, such…
Partial Tidal Disruption Events by Intermediate-mass Black Holes in Supermassive and Intermediate-mass Black Hole Binaries
Xiao-Jun Wu, Ye-Fei Yuan, Yan Luo +1
In the centers of galaxies, stars that orbit supermassive black hole binaries (SMBHBs) can undergo tidal disruptions due to the Lidov-Kozai mechanism. Nevertheless, most previous r…
Two-loop Loewner potentials
Yan Luo, Sid Maibach
We study a generalization of the Schramm-Loewner evolution loop measure to pairs of non-intersecting Jordan curves on the Riemann sphere. We also introduce four equivalent definiti…
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results
Xiaoning Liu, Zongwei Wu, Ao Li +109
This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results. The aim of this challenge is to discover an effective netw…
Radio Galaxy Zoo EMU: Towards a Semantic Radio Galaxy Morphology Taxonomy
Micah Bowles, Hongming Tang, Eleni Vardoulaki +20
We present a novel natural language processing (NLP) approach to deriving plain English descriptors for science cases otherwise restricted by obfuscating technical terminology. We…
TransFlower: An Explainable Transformer-Based Model with Flow-to-Flow Attention for Commuting Flow Prediction
Yan Luo, Zhuoyue Wan, Yuzhong Chen +3
Understanding the link between urban planning and commuting flows is crucial for guiding urban development and policymaking. This research, bridging computer science and urban stud…
ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
Xincheng Yao, Yan Luo, Zefeng Qian +1
The current mainstream and state-of-the-art anomaly detection (AD) methods are substantially established on pretrained feature networks yielded by ImageNet pretraining. However, re…
An ensemble algorithm for numerical solutions to deterministic and random parabolic PDEs
Yan Luo, Zhu Wang
In this paper, we develop an ensemble-based time-stepping algorithm to efficiently find numerical solutions to a group of linear, second-order parabolic partial differential equati…
Long-Range Zero-Shot Generative Deep Network Quantization
Yan Luo, Yangcheng Gao, Zhao Zhang +3
Quantization approximates a deep network model with floating-point numbers by the one with low bit width numbers, in order to accelerate inference and reduce computation. Quantizin…
NetML: A Challenge for Network Traffic Analytics
Onur Barut, Yan Luo, Tong Zhang +2
Classifying network traffic is the basis for important network applications. Prior research in this area has faced challenges on the availability of representative datasets, and ma…
CurveFlow: Curvature-Guided Flow Matching for Image Generation
Yan Luo, Drake Du, Hao Huang +2
Existing rectified flow models are based on linear trajectories between data and noise distributions. This linearity enforces zero curvature, which can inadvertently force the imag…
DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment
Chang Liu, Yu Cao, Yan Luo +3
Worldwide, in 2014, more than 1.9 billion adults, 18 years and older, were overweight. Of these, over 600 million were obese. Accurately documenting dietary caloric intake is cruci…
The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report
Bin Ren, Yawei Li, Nancy Mehta +129
This paper provides a comprehensive review of the NTIRE 2024 challenge, focusing on efficient single-image super-resolution (ESR) solutions and their outcomes. The task of this cha…
NTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Results
Zheng Chen, Zongwei Wu, Eduard Zamfir +85
This paper reviews the NTIRE 2024 challenge on image super-resolution (4), highlighting the solutions proposed and the outcomes obtained. The challenge involves generating…
Look-Ahead and Look-Back Flows: Training-Free Image Generation with Trajectory Smoothing
Yan Luo, Henry Huang, Todd Y. Zhou +1
Recent advances have reformulated diffusion models as deterministic ordinary differential equations (ODEs) through the framework of flow matching, providing a unified formulation f…
FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRA
Minghan Li, Congcong Wen, Yu Tian +5
Fairness remains a critical concern in healthcare, where unequal access to services and treatment outcomes can adversely affect patient health. While Federated Learning (FL) presen…
Characterizing Tourist Daily Trip Chains Using Mobile Phone Big Data
Yan Luo
Tourists tend to visit multiple destinations out of their variety-seeking motivations in their trips. Thus, it is critical to discover travel patterns involving multi-destinations…
White Dwarf--White Dwarf collisions in AGN discs via close encounters
Yan Luo, Xiao-Jun Wu, Shu-Rui Zhang +3
White dwarfs (WDs) in active galactic nucleus (AGNs) discs might migrate to the inner radii of the discs and form restricted three-body systems with two WDs moving around the centr…
MedConclusion: A Benchmark for Biomedical Conclusion Generation from Structured Abstracts
Weiyue Li, Ruizhi Qian, Yi Li +5
Large language models (LLMs) are widely explored for reasoning-intensive research tasks, yet resources for testing whether they can infer scientific conclusions from structured bio…
Direction Concentration Learning: Enhancing Congruency in Machine Learning
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli +1
One of the well-known challenges in computer vision tasks is the visual diversity of images, which could result in an agreement or disagreement between the learned knowledge and th…
Setting-Matched and Semantics-Scaled Benchmarking of One-Step Generative Models Against Multistep Diffusion and Flow Models
Advaith Ravishankar, Serena Liu, Mingyang Wang +11
State-of-the-art text-to-image models produce high-quality images, but inference remains expensive as generation requires several sequential ODE or denoising steps. Native one-step…
FairDiffusion: Enhancing Equity in Latent Diffusion Models via Fair Bayesian Perturbation
Yan Luo, Muhammad Osama Khan, Congcong Wen +6
Recent progress in generative AI, especially diffusion models, has demonstrated significant utility in text-to-image synthesis. Particularly in healthcare, these models offer immen…
Timestamps as Prompts for Geography-Aware Location Recommendation
Yan Luo, Haoyi Duan, Ye Liu +1
Location recommendation plays a vital role in improving users' travel experience. The timestamp of the POI to be predicted is of great significance, since a user will go to differe…
A Multilevel Monte Carlo Ensemble Scheme for Solving Random Parabolic PDEs
Yan Luo, Zhu Wang
A first-order, Monte Carlo ensemble method has been recently introduced for solving parabolic equations with random coefficients in [26], which is a natural synthesis of the ensemb…
Linear stability of inner case of double averaged spatial restricted elliptic three body problem
Xiumin Huang, Yan Luo, Kaicheng Sheng +1
We study the secular effects in the motion of an asteroid with negligible mass in a spatial restricted elliptic three body problem with arbitrary inclination. Averaging over mean a…
An Experimental Study of Passive UAV Tracking with Digital Arrays and Cellular Downlink Signals
Yifei Sun, Chao Yu, Yan Luo +4
Given the prospects of the low-altitude economy (LAE) and the popularity of unmanned aerial vehicles (UAVs), there are increasing demands on monitoring flying objects at low altitu…
Story2Proposal: A Scaffold for Structured Scientific Paper Writing
Zhuoyang Qian, Wei Shi, Xu Lin +19
Generating scientific manuscripts requires maintaining alignment between narrative reasoning, experimental evidence, and visual artifacts across the document lifecycle. Existing la…
Searching for Ultralight Dark Matter Conversion in Solar Corona using Low Frequency Array Data
Haipeng An, Xingyao Chen, Shuailiang Ge +2
Ultralight dark photons and axions are well-motivated hypothetical dark matter candidates. Both dark photon dark matter and axion dark matter can resonantly convert into electromag…
CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for the Single-Corpus and Cross-Corpus Speech Emotion Recognition
Xin-Cheng Wen, Jia-Xin Ye, Yan Luo +4
Speech Emotion Recognition (SER) has become a growing focus of research in human-computer interaction. An essential challenge in SER is to extract common attributes from different…
A Fast and Effective Method of Macula Automatic Detection for Retina Images
Yukang Jiang, Jianying Pan, Yanhe Shen +5
Retina image processing is one of the crucial and popular topics of medical image processing. The macula fovea is responsible for sharp central vision, which is necessary for human…
The First Round Result from the TianQin-1 Satellite
Jun Luo, Yan-Zheng Bai, Lin Cai +55
The TianQin-1 satellite (TQ-1), which is the first technology demonstration satellite for the TianQin project, was launched on 20 December 2019. The first round of experiment had b…
Swin-Pose: Swin Transformer Based Human Pose Estimation
Zinan Xiong, Chenxi Wang, Ying Li +2
Convolutional neural networks (CNNs) have been widely utilized in many computer vision tasks. However, CNNs have a fixed reception field and lack the ability of long-range percepti…
Streamlined Photoacoustic Image Processing with Foundation Models: A Training-Free Solution
Handi Deng, Yucheng Zhou, Jiaxuan Xiang +5
Foundation models have rapidly evolved and have achieved significant accomplishments in computer vision tasks. Specifically, the prompt mechanism conveniently allows users to integ…
Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images
Ye Liu, Huifang Li, Chao Hu +3
The task of instance segmentation in remote sensing images, aiming at performing per-pixel labeling of objects at instance level, is of great importance for various civil applicati…
Radio Galaxy Zoo EMU: Harnessing Citizen Science and AI to Advance Open Science Catalogues
Eleni Vardoulaki, Hongming Tang, Micah Bowles +10
Over the past decades, significant efforts have been devoted to developing sophisticated algorithms for automatically identifying and classifying radio sources in large surveys. Ho…
Strain Induced Robust Skyrmion lattice at Room Temperature in van der Waals Ferromagnet
Xinyi Zhou, Iftikhar Ahmed Malik, Ruihuan Duan +14
Manipulating topological magnetic orders of two-dimensional (2D) magnets by strain, once achieved, offers enormous potential for future low-power flexible spintronic applications.…
TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction
Leila Gheisi, Henry Chu, Raju Gottumukkala +4
The use of artificial intelligence (AI) in automated disease classification significantly reduces healthcare costs and improves the accessibility of services. However, this transfo…
Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection
Xincheng Yao, Ruoqi Li, Zefeng Qian +2
Humans recognize anomalies through two aspects: larger patch-wise representation discrepancies and weaker patch-to-normal-patch correlations. However, the previous AD methods didn'…
NTIRE 2026 Challenge on Single Image Reflection Removal in the Wild: Datasets, Results, and Methods
Jie Cai, Kangning Yang, Zhiyuan Li +50
In this paper, we review the NTIRE 2026 challenge on single-image reflection removal (SIRR) in the wild. SIRR is a fundamental task in image restoration. Despite progress in academ…
Electromagnetic signatures of white dwarf collisions in AGN discs
Shu-Rui Zhang, Yan Luo, Xiao-Jun Wu +3
In the inner region of the disc of an active galactic nucleus (AGN), the collision of two white dwarfs (WDs) through Jacobi capture might be inevitable, leading to a Type Ia supern…
End-to-End Personalized Next Location Recommendation via Contrastive User Preference Modeling
Yan Luo, Ye Liu, Fu-lai Chung +2
Predicting the next location is a highly valuable and common need in many location-based services such as destination prediction and route planning. The goal of next location recom…
Which to Match? Selecting Consistent GT-Proposal Assignment for Pedestrian Detection
Yan Luo, Chongyang Zhang, Muming Zhao +2
Accurate pedestrian classification and localization have received considerable attention due to their wide applications such as security monitoring, autonomous driving, etc. Althou…
Foveation-based Mechanisms Alleviate Adversarial Examples
Yan Luo, Xavier Boix, Gemma Roig +2
We show that adversarial examples, i.e., the visually imperceptible perturbations that result in Convolutional Neural Networks (CNNs) fail, can be alleviated with a mechanism based…
Learning to Minimize the Remainder in Supervised Learning
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli +1
The learning process of deep learning methods usually updates the model's parameters in multiple iterations. Each iteration can be viewed as the first-order approximation of Taylor…
CellScout: Visual Analytics for Mining Biomarkers in Cell State Discovery
Rui Sheng, Zelin Zang, Jiachen Wang +5
Cell state discovery is crucial for understanding biological systems and enhancing medical outcomes. A key aspect of this process is identifying distinct biomarkers that define spe…
GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition
Jia-Xin Ye, Xin-Cheng Wen, Xuan-Ze Wang +5
In human-computer interaction, Speech Emotion Recognition (SER) plays an essential role in understanding the user's intent and improving the interactive experience. While similar s…
CLUIE: Clustering-Aware Recurrent Propagation with Local Structural Compensation for Underwater Image Enhancement
Kui Jiang, Zefan Feng, Laibin Chang +3
Underwater image enhancement remains challenging due to wavelength-dependent light absorption, scattering, and backscattering, which jointly cause color distortion, contrast degrad…
Text-Driven 3D Indoor Scene Synthesis in Non-Manhattan Environments
Xianhui Meng, Zirui Song, Yuchen Zhang +10
Large Language Models (LLMs) have demonstrated remarkable capabilities in 3D indoor synthesis for Manhattan environments. However, existing methods often fail to capture plausible…
Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning
Yan Luo, Min Shi, Yu Tian +2
Glaucoma is the number one cause of irreversible blindness globally. A major challenge for accurate glaucoma detection and progression forecasting is the bottleneck of limited labe…
Where, What, Whether: Multi-modal Learning Meets Pedestrian Detection
Yan Luo, Chongyang Zhang, Muming Zhao +2
Pedestrian detection benefits greatly from deep convolutional neural networks (CNNs). However, it is inherently hard for CNNs to handle situations in the presence of occlusion and…
mmAlert: mmWave Link Blockage Prediction via Passive Sensing
Chao Yu, Yifei Sun, Yan Luo +1
In this letter, the mmAlert system, predicting millimeter wave (mmWave) link blockage during data communication, is elaborated and demonstrated. The passive sensing method is adopt…
Single-Slice-to-3D Reconstruction in Medical Imaging and Natural Objects: A Comparative Benchmark with SAM 3D
Yan Luo, Advaith Ravishankar, Serena Liu +2
While three-dimensional imaging is essential for clinical diagnosis, its high cost and long wait times have motivated the use of image-to-3D foundation models to infer volume from…
Identifying anomalous radio sources in the EMU Pilot Survey using a complexity-based approach
Gary Segal, David Parkinson, Ray Norris +12
The Evolutionary Map of the Universe (EMU) large-area radio continuum survey will detect tens of millions of radio galaxies, giving an opportunity for the detection of previously u…
From Pre-trained Models to Large Language Models: A Comprehensive Survey of AI-Driven Psychological Computing
Huiyao Chen, Ruimeng Liu, Yan Luo +4
The intersection of artificial intelligence and psychological science has experienced remarkable growth, with annual publications expanding from 859 papers in 2000 to 29,979 by 202…
Save It for the "Hot" Day: An LLM-Empowered Visual Analytics System for Heat Risk Management
Haobo Li, Wong Kam-Kwai, Yan Luo +6
The escalating frequency and intensity of heat-related climate events, particularly heatwaves, emphasize the pressing need for advanced heat risk management strategies. Current app…
Stability analysis of spatial perturbed elliptic restricted 3-body problem with double-averaging
Yan Luo, Kaicheng Sheng
This paper investigates the secular motion of a massless asteroid within the framework of the double-averaged elliptic restricted three-body problem. By employing Poincaré variabl…
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling
Yu Tian, Min Shi, Yan Luo +3
Fairness in artificial intelligence models has gained significantly more attention in recent years, especially in the area of medicine, as fairness in medical models is critical to…
An efficient iterative method for solving parameter-dependent and random convention-diffusion problems
Xiaobing Feng, Yan Luo, Liet Vo +1
This paper develops and analyzes a general iterative framework for solving parameter-dependent and random convection-diffusion problems. It is inspired by the multi-modes method of…
Prismatic: Interactive Multi-View Cluster Analysis of Concept Stocks
Wong Kam-Kwai, Yan Luo, Xuanwu Yue +2
Financial cluster analysis allows investors to discover investment alternatives and avoid undertaking excessive risks. However, this analytical task faces substantial challenges ar…
-Reference Transfer Learning for Saliency Prediction
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli +1
Benefiting from deep learning research and large-scale datasets, saliency prediction has achieved significant success in the past decade. However, it still remains challenging to p…
Idea2Story: An Automated Pipeline for Transforming Research Concepts into Complete Scientific Narratives
Tengyue Xu, Zhuoyang Qian, Gaoge Liu +16
Autonomous scientific discovery with large language model (LLM)-based agents has recently made substantial progress, demonstrating the ability to automate end-to-end research workf…
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images
Min Shi, Anagha Lokhande, Mojtaba S. Fazli +10
Ophthalmic images and derivatives such as the retinal nerve fiber layer (RNFL) thickness map are crucial for detecting and monitoring ophthalmic diseases (e.g., glaucoma). For comp…
NeuroTreeNet: A New Method to Explore Horizontal Expansion Network
Shenlong Lou, Yan Luo, Qiancong Fan +4
It is widely recognized that the deeper networks or networks with more feature maps have better performance. Existing studies mainly focus on extending the network depth and increa…
NTIRE 2025 Image Shadow Removal Challenge Report
Florin-Alexandru Vasluianu, Tim Seizinger, Zhuyun Zhou +79
This work examines the findings of the NTIRE 2025 Shadow Removal Challenge. A total of 306 participants have registered, with 17 teams successfully submitting their solutions durin…
Embracing Uncertainty: Decoupling and De-bias for Robust Temporal Grounding
Hao Zhou, Chongyang Zhang, Yan Luo +2
Temporal grounding aims to localize temporal boundaries within untrimmed videos by language queries, but it faces the challenge of two types of inevitable human uncertainties: quer…
The TianQin project: current progress on science and technology
Jianwei Mei, Yan-Zheng Bai, Jiahui Bao +103
TianQin is a planned space-based gravitational wave (GW) observatory consisting of three earth orbiting satellites with an orbital radius of about . The satellites w…
Stability analysis of the nonlinear pendulums under stochastic perturbations
Yan Luo, Kaicheng Sheng
We consider a nonlinear pendulum whose suspension point undergoes stochastic vibrations in its plane of motion. Stochastic vibrations are constructed by stochastic differential equ…
Passive Handwriting Tracking via Weak mmWave Communication Signals
Chao Yu, Yan Luo, Renqi Chen +1
In this letter, a cooperative sensing framework based on millimeter wave (mmWave) communication systems is proposed to detect tiny motions with a millimeter-level resolution. Parti…
An efficient Chorin-Temam projection proper orthogonal decomposition based reduced-order model for nonstationary Stokes equations
Xi Li, Yan Luo, Minfu Feng
In this paper, we propose an efficient proper orthogonal decomposition based reduced-order model(POD-ROM) for nonstationary Stokes equations, which combines the classical projectio…
-softmax: Improving Intra-class Compactness and Inter-class Separability of Features
Yan Luo, Yongkang Wong, Mohan Kankanhalli +1
Intra-class compactness and inter-class separability are crucial indicators to measure the effectiveness of a model to produce discriminative features, where intra-class compactnes…