Publications (495)
Group-Orthogonal Subsampling for Hierarchical Data Based on Linear Mixed Models
Jiaqing Zhu, Lin Wang, Fasheng Sun
Hierarchical data analysis is crucial in various fields for making discoveries. The linear mixed model is often used for training hierarchical data, but its parameter estimation is…
Performance of MIMO Relay DCSK-CD Systems over Nakagami Fading Channels
Yi Fang, Jing Xu, Lin Wang +1
A multi-access multiple-input multiple-output (MIMO) relay differential chaos shift keying cooperative diversity (DCSK-CD) system is proposed in this paper as a comprehensive coope…
A Conditioned UNet for Music Source Separation
Ken O'Hanlon, Basil Woods, Lin Wang +1
In this paper we propose a conditioned UNet for Music Source Separation (MSS). MSS is generally performed by multi-output neural networks, typically UNets, with each output represe…
NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding
Ming Hu, Lin Wang, Siyuan Yan +7
The application of deep learning to nursing procedure activity understanding has the potential to greatly enhance the quality and safety of nurse-patient interactions. By utilizing…
From Boundaries to Semantics: Prompt-Guided Multi-Task Learning for Petrographic Thin-section Segmentation
Yili Ren, Shiqi Wen, Li Hou +8
Grain-edge segmentation (GES) and lithology semantic segmentation (LSS) are two pivotal tasks for quantifying rock fabric and composition. However, these two tasks are often treate…
A geodesic feedback law to decouple the full and reduced attitude
Johan Markdahl, Jens Hoppe, Lin Wang +1
This paper presents a novel approach to the problem of almost global attitude stabilization. The reduced attitude is steered along a geodesic path on the n-sphere. Meanwhile, the f…
Optimizing Frequent Checkpointing via Low-Cost Differential for Distributed Training Systems
Chenxuan Yao, Yuchong Hu, Feifan Liu +4
Distributed training of large deep-learning models often leads to failures, so checkpointing is commonly employed for recovery. State-of-the-art studies focus on frequent checkpoin…
When Data Manipulation Meets Attack Goals: An In-depth Survey of Attacks for VLMs
Aobotao Dai, Xinyu Ma, Lei Chen +2
Vision-Language Models (VLMs) have gained considerable prominence in recent years due to their remarkable capability to effectively integrate and process both textual and visual in…
Denoise and Align: Diffusion-Driven Foreground Knowledge Prompting for Open-Vocabulary Temporal Action Detection
Sa Zhu, Wanqian Zhang, Lin Wang +3
Open-Vocabulary Temporal Action Detection (OV-TAD) aims to localize and classify action segments of unseen categories in untrimmed videos, where effective alignment between action…
Performance of Joint Channel and Physical Network Coding Based on Alamouti STBC
Yi Fang, Lin Wang, Kai-Kit Wong +1
This work considers the protograph-coded physical network coding (PNC) based on Alamouti space-time block coding (STBC) over Nakagami-fading two-way relay channels, in which both t…
On Non-KAM Invariant Circles for Area-Preserving Twist Maps
Jiashen Guo, Yi Liu, Lin Wang
In this note, we investigate the dynamics of invariant circles in area-preserving twist maps. The invariant circles under consideration lie beyond the applicability of classical KA…
Graft: Efficient Inference Serving for Hybrid Deep Learning with SLO Guarantees via DNN Re-alignment
Jing Wu, Lin Wang, Qirui Jin +1
Deep neural networks (DNNs) have been widely adopted for various mobile inference tasks, yet their ever-increasing computational demands are hindering their deployment on resource-…
1st Place Solution to Odyssey Emotion Recognition Challenge Task1: Tackling Class Imbalance Problem
Mingjie Chen, Hezhao Zhang, Yuanchao Li +11
Speech emotion recognition is a challenging classification task with natural emotional speech, especially when the distribution of emotion types is imbalanced in the training and t…
Minimizing the fluctuation of resonance driving terms in dynamic aperture optimization
Bingfeng Wei, Zhenghe Bai, Jiajie Tan +2
Dynamic aperture (DA) is an important nonlinear property of a storage ring lattice, which has a dominant effect on beam injection efficiency and beam lifetime. Generally, minimizin…
Performance Analysis of Protograph LDPC Codes for Nakagami- Fading Relay Channels
Yi Fang, Kai-Kit Wong, Lin Wang +1
In this paper, we investigate the error performance of the protograph (LDPC) codes over Nakagami- fading relay channels. We first calculate the decoding thresholds of the protog…
The Strength of Structural Diversity in Online Social Networks
Yafei Zhang, Lin Wang, Jonathan J. H. Zhu +2
Understanding the way individuals are interconnected in social networks is of prime significance to predict their collective outcomes. Leveraging a large-scale dataset from a knowl…
A Novel Graphic Bending Transformation on Benchmark
Chunxiuzi Liu, Fengyang Sun, Qingrui Ni +2
Classical benchmark problems utilize multiple transformation techniques to increase optimization difficulty, e.g., shift for anti centering effect and rotation for anti dimension s…
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective
Jinjing Zhu, Haotian Bai, Lin Wang
Endeavors have been recently made to leverage the vision transformer (ViT) for the challenging unsupervised domain adaptation (UDA) task. They typically adopt the cross-attention i…
Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations
Lin Wang, Wonjune Cho, Kuk-Jin Yoon
Deep neural networks (DNNs) have achieved impressive performance on handling computer vision problems, however, it has been found that DNNs are vulnerable to adversarial examples.…
Graph Unlearning with Efficient Partial Retraining
Jiahao Zhang, Lin Wang, Shijie Wang +1
Graph Neural Networks (GNNs) have achieved remarkable success in various real-world applications. However, GNNs may be trained on undesirable graph data, which can degrade their pe…
UMSS: Towards Unsupervised Multi-modal Semantic Segmentation
Haitian Zhang, Thai Duy Nguyen, Xiangyuan Wang +2
The paper introduces UniM2, an unsupervised framework for multimodal semantic segmentation that learns a shared latent space across sensors using cross‑modal correspondence and a h…
Medical Matting: A New Perspective on Medical Segmentation with Uncertainty
Lin Wang, Lie Ju, Xin Wang +8
It is difficult to accurately label ambiguous and complex shaped targets manually by binary masks. The weakness of binary mask under-expression is highlighted in medical image segm…
Video Event Reasoning and Prediction by Fusing World Knowledge from LLMs with Vision Foundation Models
L'ea Dubois, Klaus Schmidt, Chengyu Wang +3
Current video understanding models excel at recognizing "what" is happening but fall short in high-level cognitive tasks like causal reasoning and future prediction, a limitation r…
N-functionalized Ti2C MXene as high-performance adsorbent for strontium ions: a first-principles study
Kaikai Qiu, Yujuan Zhang, Lin Wang +3
Radionuclides sequestration through adsorption technology has attracted much attention due to its unique characters such as high removal efficiency, low cost, and ease of operation…
Self organized criticality in an improved Olami-Feder-Christensen model
Gui-Qing Zhang, Ugur Tirnakli, Lin Wang +1
An improved version of the Olami-Feder-Christensen model has been introduced to consider avalanche size differences. Our model well demonstrates the power-law behavior and finite s…
360 High-Resolution Depth Estimation via Uncertainty-aware Structural Knowledge Transfer
Zidong Cao, Hao Ai, Athanasios V. Vasilakos +1
To predict high-resolution (HR) omnidirectional depth map, existing methods typically leverage HR omnidirectional image (ODI) as the input via fully-supervised learning. However, i…
A Fast Bootstrap Algorithm for Causal Inference with Large Data
Matthew Kosko, Lin Wang, Michele Santacatterina
Estimating causal effects from large experimental and observational data has become increasingly prevalent in both industry and research. The bootstrap is an intuitive and powerful…
eMoE-Tracker: Environmental MoE-based Transformer for Robust Event-guided Object Tracking
Yucheng Chen, Lin Wang
The unique complementarity of frame-based and event cameras for high frame rate object tracking has recently inspired some research attempts to develop multi-modal fusion approache…
Evolution of ultra-flat band in van der Waals kagome semiconductor Pd3P2(S1-xSex)8
Shaohua Yan, Ben-Chao Gong, Lin Wang +8
We investigate the evolutions of structural parameters, optical properties, and electronic structures of van der Waals kagome semiconductor Pd3P2S8 with Se doping. When the doping…
EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning
Lin Wang, Tae-Kyun Kim, Kuk-Jin Yoon
Event cameras sense intensity changes and have many advantages over conventional cameras. To take advantage of event cameras, some methods have been proposed to reconstruct intensi…
Estimating the value of containment strategies in delaying the arrival time of an influenza pandemic: A case study of travel restriction and patient isolation
Lin Wang, Yan Zhang, Tianyi Huang +1
With a simple phenomenological metapopulation model, which characterizes the invasion process of an influenza pandemic from a source to a subpopulation at risk, we compare the effi…
Identifying spatial invasion of pandemics on metapopulation networks via anatomizing arrival history
Jian-Bo Wang, Lin Wang, Xiang Li
Spatial spread of infectious diseases among populations via the mobility of humans is highly stochastic and heterogeneous. Accurate forecast/mining of the spread process is often h…
Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN
Lin Wang, Xiancheng Wang, Rui Wang +2
Up to now, the training processes of typical Generative Adversarial Networks (GANs) are still particularly sensitive to data properties and hyperparameters, which may lead to sever…
Weak KAM theory for general Hamilton-Jacobi equations II: the fundamental solution under Lipschitz conditions
Lin Wang, Jun Yan
We consider the following evolutionary Hamilton-Jacobi equation with initial condition: \begin{equation*} \begin{cases} \partial_tu(x,t)+H(x,u(x,t),\partial_xu(x,t))=0,\\ u(x,0)=Ï…
MYCloth: Towards Intelligent and Interactive Online T-Shirt Customization based on User's Preference
Yexin Liu, Lin Wang
In conventional online T-shirt customization, consumers, \ie, users, can achieve the intended design only after repeated adjustments of the design prototypes presented by sellers i…
A Learning Convolutional Neural Network Approach for Network Robustness Prediction
Yang Lou, Ruizi Wu, Junli Li +3
Network robustness is critical for various societal and industrial networks again malicious attacks. In particular, connectivity robustness and controllability robustness reflect h…
Improving Neural Network Classifier using Gradient-based Floating Centroid Method
Mazharul Islam, Shuangrong Liu, Lin Wang +1
Floating centroid method (FCM) offers an efficient way to solve a fixed-centroid problem for the neural network classifiers. However, evolutionary computation as its optimization m…
Characterizing human collective behaviours of COVID-19 in Hong Kong
Zhanwei Du, Xiao Zhang, Lin Wang +12
People are likely to engage in collective behaviour online during extreme events, such as the COVID-19 crisis, to express their awareness, actions and concerns. Hong Kong has imple…
Improving The Diagnosis of Thyroid Cancer by Machine Learning and Clinical Data
Nan Miles Xi, Lin Wang, Chuanjia Yang
Thyroid cancer is a common endocrine carcinoma that occurs in the thyroid gland. Much effort has been invested in improving its diagnosis, and thyroidectomy remains the primary tre…
Nanoimprinted topological laser in the visible
Qiang Zhang, Rui Duan, Yutian Ao +6
Nanoimprint lithography (NIL) is a widely used high-throughput fabrication technique for photonic devices, yet its reliability is often compromised by the inevitable imperfections…
The total density profile of DM halos fitted from strong lensing
Lin Wang, Da-Ming Chen
In cosmological N-body simulations, the baryon effects on the cold dark matter (CDM) halos can be used to solve the small scale problems in CDM cosmology, such as cusp-core pro…
GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation
Weiming Zhang, Yexin Liu, Xu Zheng +1
This paper tackles a novel yet challenging problem: how to transfer knowledge from the emerging Segment Anything Model (SAM) -- which reveals impressive zero-shot instance segmenta…
FreeBeacon: Efficient Communication and Data Aggregation in Battery-Free IoT
Gaosheng Liu, Kasım Sinan Yıldırım, Lin Wang
To improve sustainability, Internet-of-Things (IoT) is increasingly adopting battery-free devices powered by ambient energy scavenged from the environment. The unpredictable availa…
GoodSAM++: Bridging Domain and Capacity Gaps via Segment Anything Model for Panoramic Semantic Segmentation
Weiming Zhang, Yexin Liu, Xu Zheng +1
This paper presents GoodSAM++, a novel framework utilizing the powerful zero-shot instance segmentation capability of SAM (i.e., teacher) to learn a compact panoramic semantic segm…
Application of Kriging Models for a Drug Combination Experiment on Lung Cancer
Qian Xiao, Lin Wang, Hongquan Xu
Combinatorial drugs have been widely applied in disease treatment, especially chemotherapy for cancer, due to its improved efficacy and reduced toxicity compared with individual dr…
LLMind: Bio-inspired Training-free Adaptive Visual Representations for Vision-Language Models
Soumyaratna Debnath, Bui Duc Manh, Zinan Liu +1
Vision-Language Models (VLMs) typically assume a uniform spatial fidelity across the entire field of view of visual inputs, dedicating equal precision to even the uninformative reg…
MetaRuleGPT: Recursive Numerical Reasoning of Language Models Trained with Simple Rules
Kejie Chen, Lin Wang, Qinghai Zhang +1
Recent studies have highlighted the limitations of large language models in mathematical reasoning, particularly their inability to capture the underlying logic. Inspired by meta-l…
3D Matting: A Soft Segmentation Method Applied in Computed Tomography
Lin Wang, Xiufen Ye, Donghao Zhang +7
Three-dimensional (3D) images, such as CT, MRI, and PET, are common in medical imaging applications and important in clinical diagnosis. Semantic ambiguity is a typical feature of…
Hybrid multi-bend achromat lattice with sextupole cancellation across straight section
Jiajie Tan, Jianhao Xu, Penghui Yang +2
The hybrid multi-bend achromat (HMBA) lattice concept is adopted in some diffraction-limited storage ring designs, which can permit relatively large on-momentum dynamic aperture an…
Synthetic Data Supervised Salient Object Detection
Zhenyu Wu, Lin Wang, Wei Wang +4
Although deep salient object detection (SOD) has achieved remarkable progress, deep SOD models are extremely data-hungry, requiring large-scale pixel-wise annotations to deliver su…
Discovery and timing of pulsars in the globular cluster M13 with FAST
Lin Wang, Bo Peng, B. W. Stappers +17
We report the discovery of a binary millisecond pulsar (namely PSR J1641+3627F or M13F) in the globular cluster M13 (NGC 6205) and timing solutions of M13A to F using observations…
Lattice dynamics of topological Dirac semimetal LaAgSb with charge density wave ordering
Ratnadwip Singha, Sudeshna Samanta, Tara Shankar Bhattacharya +5
LaAgSb is a rare material, which offers the opportunity to investigate the complex interplay between charge density wave (CDW) ordering and topology protected electronic band…
Test-Time Adaptation for Nighttime Color-Thermal Semantic Segmentation
Yexin Liu, Weiming Zhang, Guoyang Zhao +3
The ability to scene understanding in adverse visual conditions, e.g., nighttime, has sparked active research for RGB-Thermal (RGB-T) semantic segmentation. However, it is essentia…
Independence-Encouraging Subsampling for Nonparametric Additive Models
Yi Zhang, Lin Wang, Xiaoke Zhang +1
The additive model is a popular nonparametric regression method due to its ability to retain modeling flexibility while avoiding the curse of dimensionality. The backfitting algori…
360SFUDA++: Towards Source-free UDA for Panoramic Segmentation by Learning Reliable Category Prototypes
Xu Zheng, Pengyuan Zhou, Athanasios V. Vasilakos +1
In this paper, we address the challenging source-free unsupervised domain adaptation (SFUDA) for pinhole-to-panoramic semantic segmentation, given only a pinhole image pre-trained…
DiffoR: A Unified Continuous Generative Framework for Universal Ordinal Regression
Hongxu Ma, Lin Wang, Chenghou Jin +6
Ordinal Regression (OR) aims to predict target values with inherent order, underpinning critical applications across diverse domains, from recommender systems to computer vision. T…
A Comprehensive Survey on Trustworthy Recommender Systems
Wenqi Fan, Xiangyu Zhao, Xiao Chen +8
As one of the most successful AI-powered applications, recommender systems aim to help people make appropriate decisions in an effective and efficient way, by providing personalize…
Locally symmetric lattices for storage ring light sources
Zhenghe Bai, Penghui Yang, Guangyao Feng +2
In this paper, a new lattice concept called the locally symmetric lattice is proposed for storage ring light sources. In this new lattice, beta functions are made locally symmetric…
Learning Event-guided Exposure-agnostic Video Frame Interpolation via Adaptive Feature Blending
Junsik Jung, Yoonki Cho, Woo Jae Kim +2
Exposure-agnostic video frame interpolation (VFI) is a challenging task that aims to recover sharp, high-frame-rate videos from blurry, low-frame-rate inputs captured under unknown…
Understanding the Fundamental Trade-Off Between Age of Information and Throughput in Unreliable Wireless Networks
Lin Wang, I-Hong Hou
This paper characterizes the fundamental trade-off between throughput and Age of Information (AoI) in wireless networks where multiple devices transmit status updates to a central…
NetNN: Neural Intrusion Detection System in Programmable Networks
Kamran Razavi, Shayan Davari Fard, George Karlos +3
The rise of deep learning has led to various successful attempts to apply deep neural networks (DNNs) for important networking tasks such as intrusion detection. Yet, running DNNs…
Information Theory in Open-world Machine Learning Foundations, Frameworks, and Future Direction
Lin Wang
Open world Machine Learning (OWML) aims to develop intelligent systems capable of recognizing known categories, rejecting unknown samples, and continually learning from novel infor…
Achieving Energy Efficiency in Cloud Brokering
Lin Wang, Lei Jiao, Mateusz Guzek +2
The proliferation of cloud providers has brought substantial interoperability complexity to the public cloud market, in which cloud brokering has been playing an important role. Ho…
A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications
Shuo Wang, Xing Zhang, Yan Zhang +3
As the explosive growth of smart devices and the advent of many new applications, traffic volume has been growing exponentially. The traditional centralized network architecture ca…
Towards Robust Event-guided Low-Light Image Enhancement: A Large-Scale Real-World Event-Image Dataset and Novel Approach
Guoqiang Liang, Kanghao Chen, Hangyu Li +2
Event camera has recently received much attention for low-light image enhancement (LIE) thanks to their distinct advantages, such as high dynamic range. However, current research i…
EventBind: Learning a Unified Representation to Bind Them All for Event-based Open-world Understanding
Jiazhou Zhou, Xu Zheng, Yuanhuiyi Lyu +1
In this paper, we propose EventBind, a novel and effective framework that unleashes the potential of vision-language models (VLMs) for event-based recognition to compensate for the…
OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding
Ming Hu, Peng Xia, Lin Wang +11
Surgical scene perception via videos is critical for advancing robotic surgery, telesurgery, and AI-assisted surgery, particularly in ophthalmology. However, the scarcity of divers…
HRDFuse: Monocular 360°Depth Estimation by Collaboratively Learning Holistic-with-Regional Depth Distributions
Hao Ai, Zidong cao, Yan-pei Cao +2
Depth estimation from a monocular 360° image is a burgeoning problem owing to its holistic sensing of a scene. Recently, some methods, \eg, OmniFusion, have applied the tangent pr…
Deep Learning for Omnidirectional Vision: A Survey and New Perspectives
Hao Ai, Zidong Cao, Jinjing Zhu +3
Omnidirectional image (ODI) data is captured with a 360x180 field-of-view, which is much wider than the pinhole cameras and contains richer spatial information than the conventiona…
Toward Stronger Robustness of Network Controllability: A Snapback Network Model
Yang Lou, Lin Wang, Guanrong Chen
A new complex network model, called q-snapback network, is introduced. Basic topological characteristics of the network, such as degree distribution, average path length, clusterin…
Complex unit lattice cell for low-emittance storage ring light source
Zhiliang Ren, Zhenghe Bai, Penghui Yang +2
To achieve the true diffraction-limited emittance of a storage ring light source, such as ~10 pm.rad for medium-energy electron beams, within a limited circumference, it is general…
Vetaverse: A Survey on the Intersection of Metaverse, Vehicles, and Transportation Systems
Pengyuan Zhou, Jinjing Zhu, Yiting Wang +12
Since 2021, the term "Metaverse" has been the most popular one, garnering a lot of interest. Because of its contained environment and built-in computing and networking capabilities…
Convergence Analysis of an Unconditionally Energy Stable Linear Crank-Nicolson Scheme for the Cahn-Hilliard Equation
Lin Wang, Haijun Yu
Efficient and unconditionally stable high order time marching schemes are very important but not easy to construct for nonlinear phase dynamics. In this paper, we propose and analy…
Evolutionary games on multilayer networks: A colloquium
Zhen Wang, Lin Wang, Attila Szolnoki +1
Networks form the backbone of many complex systems, ranging from the Internet to human societies. Accordingly, not only is the range of our interactions limited and thus best descr…
Timing and Scintillation Studies of Pulsars in Globular Cluster M3 (NGC 5272) with FAST
Baoda Li, Li-yun Zhang, Jumei Yao +16
We present the phase-connected timing solutions of all the five pulsars in globular cluster (GC) M3 (NGC 5272), namely PSRs M3A to F (PSRs J1342+2822A to F), with the exception of…
Image Anything: Towards Reasoning-coherent and Training-free Multi-modal Image Generation
Yuanhuiyi Lyu, Xu Zheng, Lin Wang
The multifaceted nature of human perception and comprehension indicates that, when we think, our body can naturally take any combination of senses, a.k.a., modalities and form a be…
ExFMan: Rendering 3D Dynamic Humans with Hybrid Monocular Blurry Frames and Events
Kanghao Chen, Zeyu Wang, Lin Wang
Recent years have witnessed tremendous progress in the 3D reconstruction of dynamic humans from a monocular video with the advent of neural rendering techniques. This task has a wi…
Ligand-Conditioned Discrete Diffusion for Protein Sequence-Structure Co-Design
Chen Wei, Fanding Xu, Minghao Sun +5
Proteins perform their biological functions through three-dimensional structures encoded by amino acid sequences, and ligand-binding protein co-design requires models that generate…
A Novel Neural Network-Based Symbolic Regression Method: Neuro-Encoded Expression Programming
Aftab Anjum, Fengyang Sun, Lin Wang +1
Neuro-encoded expression programming(NEEP) that aims to offer a novel continuous representation of combinatorial encoding for genetic programming methods is proposed in this paper.…
Deep Learning Based Multi-Node ISAC 4D Environmental Reconstruction with Uplink- Downlink Cooperation
Bohao Lu, Zhiqing Wei, Huici Wu +5
Utilizing widely distributed communication nodes to achieve environmental reconstruction is one of the significant scenarios for Integrated Sensing and Communication (ISAC) and a c…
Autoregressive GNN-ODE GRU Model for Network Dynamics
Bo Liang, Lin Wang, Xiaofan Wang
Revealing the continuous dynamics on the networks is essential for understanding, predicting, and even controlling complex systems, but it is hard to learn and model the continuous…
Massive Quiescent Galaxies at z>3 in The Millennium Simulation Populated by A Semi-analytic Galaxy Formation Model
Yu Rong, Yingjie Jing, Liang Gao +5
We take advantage of the statistical power of the large-volume dark-matter-only Millennium simulation, combined with a sophisticated semi-analytic galaxy formation model, to explor…
Robust magnetoresistance in TaAs2 under pressure up to about 37 GPa
Hongyuan Wang, Cuiying Pei, Hao Su +13
The extremely large magnetoresistance (XMR) in nonmagnetic semimetals has inspired growing interest owing to both intriguing physics and potential applications. We report results o…
Weak KAM theory for general Hamilton-Jacobi equations III: the variational principle under Osgood conditions
Lin Wang, Jun Yan
We consider the following evolutionary Hamilton-Jacobi equation with initial condition: \begin{equation*} \begin{cases} \partial_tu(x,t)+H(x,u(x,t),\partial_xu(x,t))=0,\\ u(x,0)=Ï…
Direct Observation of Long-range field-effect from gate tuning of non-local conductivity
Lin Wang, Ignacio Gutiérrez-Lezama, Céline Barreteau +3
We report the observation of an unexpected, long-range field-effect in WTe devices, leading to large gate-induced changes of the transport properties of crystals much thicker t…
PanoSAM2: Lightweight Distortion- and Memory-aware Adaptions of SAM2 for 360 Video Object Segmentation
Dingwen Xiao, Weiming Zhang, Shiqi Wen +1
360 video object segmentation (360VOS) aims to predict temporally-consistent masks in 360 videos, offering full-scene coverage, benefiting applications, such as VR/AR and embodied…
All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda
Lik-Hang Lee, Tristan Braud, Pengyuan Zhou +6
Since the popularisation of the Internet in the 1990s, the cyberspace has kept evolving. We have created various computer-mediated virtual environments including social networks, v…
Variational principle for contact Tonelli Hamiltonian systems
Lin Wang, Jun Yan
We establish an implicit variational principle for the equations of the contact flow generated by the Hamiltonian with respect to the contact 1-form under To…
FMapping: Factorized Efficient Neural Field Mapping for Real-Time Dense RGB SLAM
Tongyan Hua, Haotian Bai, Zidong Cao +1
In this paper, we introduce FMapping, an efficient neural field mapping framework that facilitates the continuous estimation of a colorized point cloud map in real-time dense RGB S…
Nonlinear bulk photocurrent probe Z2 topological phase transition
Debasis Dutta, Raihan Ahammed, Yingdong Wei +4
Detecting topological phase transitions in bulk is challenging due to the limitations of surface sensitive probes like ARPES. Here, we demonstrate that nonlinear bulk photocurrents…
It Takes Two to Tango: Serverless Workflow Serving via Bilaterally Engaged Resource Adaptation
Jing Wu, Lin Wang, Quanfeng Deng +4
Serverless platforms typically adopt an early-binding approach for function sizing, requiring developers to specify an immutable size for each function within a workflow beforehand…
DRAFT: Task Decoupled Latent Reasoning for Agent Safety
Lin Wang, Junfeng Fang, Dan Zhang +3
The advent of tool-using LLM agents shifts safety monitoring from output moderation to auditing long, noisy interaction trajectories, where risk-critical evidence is sparse-making…
FAST Globular Cluster Pulsar Survey: Twenty-Four Pulsars Discovered in Fifteen Globular Clusters
Zhichen Pan, Lei Qian, Xiaoyun Ma +8
We present the discovery of 24 pulsars in 15 Globular Clusters (GCs) using the Five-hundred-meter Aperture Spherical radio Telescope (FAST). These include the first pulsar discover…
Multi-scale multi-modal micro-expression recognition algorithm based on transformer
Fengping Wang, Jie Li, Chun Qi +2
A micro-expression is a spontaneous unconscious facial muscle movement that can reveal the true emotions people attempt to hide. Although manual methods have made good progress and…
Integrated Sensing and Communication enabled Doppler Frequency Shift Estimation and Compensation
Jinzhu Jia, Zhiqing Wei, Ruiyun Zhang +1
Despite the millimeter wave technology fulfills the low-latency and high data transmission, it will cause severe Doppler Frequency Shift (DFS) for high-speed vehicular network, whi…
Formula of Entropy along Unstable Foliations for Diffeomorphisms with Dominated Splitting
Xinsheng Wang, Lin Wang, Yujun Zhu
Metric entropies along a hierarchy of unstable foliations are investigated for diffeomorphisms with dominated splitting. The analogues of Ruelle's inequality and Pesin's form…
Generalized transfer matrix theory on electronic transport through graphene waveguide
Haidong Li, Lin Wang, Zhihuan Lan +1
In the effective mass approximation, electronic property in graphene can be characterized by the relativistic Dirac equation. Within such a continuum model we investigate the elect…
Center Specification Property and Entropy for Partially Hyperbolic Diffeomorphisms
Lin Wang, Yujun Zhu
Let be a partially hyperbolic diffeomorphism on a closed (i.e., compact and boundaryless) Riemannian manifold with a uniformly compact center foliation . T…
OmniBind: Teach to Build Unequal-Scale Modality Interaction for Omni-Bind of All
Yuanhuiyi Lyu, Xu Zheng, Dahun Kim +1
Research on multi-modal learning dominantly aligns the modalities in a unified space at training, and only a single one is taken for prediction at inference. However, for a real ma…
Towards a temporal network analysis of interactive WiFi users
Yan Zhang, Lin Wang, Yi-Qing Zhang +1
Complex networks are used to depict topological features of complex systems. The structure of a network characterizes the interactions among elements of the system, and facilitates…