Publications (146)
UP: Unbounded Positive Asymmetric Optimization for Breaking the Exploration-Stability Dilemma
Chongyu Fan, Pengfei Liu, Jingjia Huang +2
Reinforcement learning (RL) has become the standard paradigm for enhancing the complex reasoning capabilities of large language models (LLMs). To achieve sample efficiency, modern…
BrainFIBRE: A Foundation Model via Information Decomposition for Brain Microstructure
Zijian Dong, Yi Lin, Ji Fang +4
Diffusion MRI probes brain microstructure with particular sensitivity to early cerebrovascular and neurodegenerative changes. Neurite Orientation Dispersion and Density Imaging (NO…
Riemannian foliations and geometric quantization
Yi Lin, Yiannis Loizides, Reyer Sjamaar +1
We introduce geometric quantization for constant rank presymplectic structures with Riemannian null foliation and compact leaf closure space. We prove a quantization-commutes-with-…
Examples of Non-Kähler Hamiltonian circle manifolds with the strong Lefschetz property
Yi Lin
In this paper we construct six-dimensional compact non-Kähler Hamiltonian circle manifolds which satisfy the strong Lefschetz property themselves but nevertheless have a non-Lefsc…
A Disease-Aware Dual-Stage Framework for Chest X-ray Report Generation
Puzhen Wu, Hexin Dong, Yi Lin +2
Radiology report generation from chest X-rays is an important task in artificial intelligence with the potential to greatly reduce radiologists' workload and shorten patient wait t…
BoNuS: Boundary Mining for Nuclei Segmentation with Partial Point Labels
Yi Lin, Zeyu Wang, Dong Zhang +2
Nuclei segmentation is a fundamental prerequisite in the digital pathology workflow. The development of automated methods for nuclei segmentation enables quantitative analysis of t…
Training Long-Context Vision-Language Models Effectively with Generalization Beyond 128K Context
Zhaowei Wang, Lishu Luo, Haodong Duan +9
Long-context modeling is becoming a core capability of modern large vision-language models (LVLMs), enabling sustained context management across long-document understanding, video…
Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions
Cheng Jin, Zhengrui Guo, Yi Lin +2
Deep learning has significantly advanced medical imaging analysis (MIA), achieving state-of-the-art performance across diverse clinical tasks. However, its success largely depends…
RSNA Large Language Model Benchmark Dataset for Chest Radiographs of Cardiothoracic Disease: Radiologist Evaluation and Validation Enhanced by AI Labels (REVEAL-CXR)
Yishu Wei, Adam E. Flanders, Errol Colak +35
Multimodal large language models have demonstrated comparable performance to that of radiology trainees on multiple-choice board-style exams. However, to develop clinically useful…
Fast-Racing: An Open-source Strong Baseline for SE(3) Planning in Autonomous Drone Racing
Zhichao Han, Zhepei Wang, Neng Pan +3
With the autonomy of aerial robots advances in recent years, autonomous drone racing has drawn increasing attention. In a professional pilot competition, a skilled operator always…
Ultrafast creation of a light induced semimetallic state in strongly excited 1T-TiSe
Maximilian Huber, Yi Lin, Giovanni Marini +5
Screening, a ubiquitous phenomenon associated with the shielding of electric fields by surrounding charges, has been widely adopted as a means to modify a material's properties. Wh…
LENAS: Learning-based Neural Architecture Search and Ensemble for 3D Radiotherapy Dose Prediction
Yi Lin, Yanfei Liu, Hao Chen +4
Radiation therapy treatment planning requires balancing the delivery of the target dose while sparing normal tissues, making it a complex process. To streamline the planning proces…
MME-CC: A Challenging Multi-Modal Evaluation Benchmark of Cognitive Capacity
Kaiyuan Zhang, Chenghao Yang, Zhoufutu Wen +19
As reasoning models scale rapidly, the essential role of multimodality in human cognition has come into sharp relief, driving a growing need to probe vision-centric cognitive behav…
Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection
Yi Gu, Yi Lin, Kwang-Ting Cheng +1
Medical anomaly detection (AD) is crucial in pathological identification and localization. Current methods typically rely on uncertainty estimation in deep ensembles to detect anom…
Virtual Width Networks
Seed, Baisheng Li, Banggu Wu +115
We introduce Virtual Width Networks (VWN), a framework that delivers the benefits of wider representations without incurring the quadratic cost of increasing the hidden size. VWN d…
Resonance contributions from in the charmless three-body hadronic meson decays
Ya-Lan Zhang, Chao Wang, Yi Lin +1
Within the framework of perturbative QCD factorization, we investigate the nonfactorizable contributions to these factorization-forbidden Quasi-two-body decays $B_{(s)}\rightarrow…
Kirwan Surjectivity for the Equivariant Dolbeault cohomology
Yi Lin
Consider the holomorphic Hamiltonian action of a compact Lie group on a compact Kähler manifold with a moment map . Assume that is a r…
Exact prior-free probabilistic inference in a class of non-regular models
Ryan Martin, Yi Lin
The use of standard statistical methods, such as maximum likelihood, is often justified based on their asymptotic properties. For suitably regular models, this theory is standard b…
Topology of generalized complex quotients
Thomas Baird, Yi Lin
Consider the Hamiltonian action of a torus on a compact twisted generalized complex manifold . We first observe that Kirwan injectivity and surjectivity hold for ordinary equiva…
Towards end-to-end LLM-based censoring-aware survival analysis
Yishu Wei, Hexin Dong, Yi Lin +3
Objective: Survival analysis is central to medical prediction, yet large language models (LLMs) are rarely used as end-to-end survival models because censoring prevents straightfor…
Cohomological localization for transverse Lie algebra actions on Riemannian foliations
Yi Lin, Reyer Sjamaar
We prove localization and integration formulas for the equivariant basic cohomology of Riemannian foliations. As a corollary we obtain a Duistermaat-Heckman theorem for transversel…
Improving the estimation of directional area scattering factor (DASF) from canopy reflectance: theoretical basis and validation
Yi Lin, Siyuan Liu, Lei Yan +3
Directional area scattering factor (DASF) is a critical canopy structural parameter for vegetation monitoring. It provides an efficient tool for decoupling of canopy structure and…
Generalized geometry, equivariant -lemma, and torus actions
Yi Lin
In this paper we first consider the Hamiltonian action of a compact connected Lie group on an -twisted generalized complex manifold . Given such an action, we define generali…
MARCH: Multi-Agent Radiology Clinical Hierarchy for CT Report Generation
Yi Lin, Yihao Ding, Yonghui Wu +1
Automated 3D radiology report generation often suffers from clinical hallucinations and a lack of the iterative verification found in human practice. While recent Vision-Language M…
Symmetries in generalized Kähler geometry
Yi Lin, Susan Tolman
We define the notion of a moment map and reduction in both generalized complex geometry and generalized Kähler geometry. As an application, we give very simple explicit constructi…
Automated Pulmonary Embolism Detection from CTPA Images Using an End-to-End Convolutional Neural Network
Yi Lin, Jianchao Su, Xiang Wang +4
Automated methods for detecting pulmonary embolisms (PEs) on CT pulmonary angiography (CTPA) images are of high demand. Existing methods typically employ separate steps for PE cand…
STELA: A Real-Time Scene Text Detector with Learned Anchor
Linjie Deng, Yanxiang Gong, Xinchen Lu +3
To achieve high coverage of target boxes, a normal strategy of conventional one-stage anchor-based detectors is to utilize multiple priors at each spatial position, especially in s…
A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories
Arijit Dasgupta, Jiafei Duan, Marcelo H. Ang +4
Recent work in computer vision and cognitive reasoning has given rise to an increasing adoption of the Violation-of-Expectation (VoE) paradigm in synthetic datasets. Inspired by in…
Dynamic Free-Space Roadmap for Safe Quadrotor Motion Planning
Junlong Guo, Zhiren Xun, Shuang Geng +3
Free-space-oriented roadmaps typically generate a series of convex geometric primitives, which constitute the safe region for motion planning. However, a static environment is assu…
Dual-microcomb generation in a synchronously-driven waveguide ring resonator
Yiqing Xu, Miro Erkintalo, Yi Lin +3
Microcombs -- optical frequency combs generated in coherently-driven nonlinear microresonators -- have attracted significant attention over the last decade. The ability to generate…
Exploring Visual Prompts for Whole Slide Image Classification with Multiple Instance Learning
Yi Lin, Zhongchen Zhao, Zhengjie ZHU +3
Multiple instance learning (MIL) has emerged as a popular method for classifying histopathology whole slide images (WSIs). However, existing approaches typically rely on pre-traine…
LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning
Haoxuan Che, Haibo Jin, Zhengrui Guo +3
LLMs have demonstrated significant potential in Medical Report Generation (MRG), yet their development requires large amounts of medical image-report pairs, which are commonly scat…
Continuous 3D Myocardial Motion Tracking via Echocardiography
Chengkang Shen, Hao Zhu, You Zhou +8
Myocardial motion tracking stands as an essential clinical tool in the prevention and detection of cardiovascular diseases (CVDs), the foremost cause of death globally. However, cu…
Exciton-Driven Renormalization of Quasiparticle Band Structure in Monolayer MoS2
Yi Lin, Yang-hao Chan, Woojoo Lee +7
Optical excitation serves as a powerful approach to control the electronic structure of layered Van der Waals materials via many-body screening effects, induced by photoexcited fre…
Dynamic Programming for Symbolic Boolean Realizability and Synthesis
Yi Lin, Lucas M. Tabajara, Moshe Y. Vardi
Inspired by recent progress in dynamic programming approaches for weighted model counting, we investigate a dynamic-programming approach in the context of boolean realizability and…
MonteRET: AI Agent Enhancing Multimodal LLMs with Multi-granularity Knowledge Retrieval for Chest CT Report Generation
Yi Lin, Yihao Ding, Elana Benishay +8
MonteRET is an AI system that combines whole‑volume CT features with region‑level anatomical information and knowledge retrieval to automatically generate more complete and clinica…
DAGLFNet: Deep Feature Attention Guided Global and Local Feature Fusion for Pseudo-Image Point Cloud Segmentation
Chuang Chen, Yi Lin, Bo Wang +3
Environmental perception systems are crucial for high-precision mapping and autonomous navigation, with LiDAR serving as a core sensor providing accurate 3D point cloud data. Effic…
Momentum resolved ground/excited states and the ultra-fast excited state dynamics of monolayer MoS2
Woojoo Lee, Yi Lin, Li-Shuan Lu +6
The emergence of transition metal dichalcogenides (TMD) as crystalline atomically thin semiconductors has created a tremendous amount of scientific and technological interest. Many…
Equivariant Morse theory for Lie algebra actions on Riemannian foliations
Yi Lin, Zuoqin Wang
Consider the transverse isometric action of a finite dimensional Lie algebra g on a Riemannian foliation. This paper studies the equivariant Morse-Bott theory on the leaf space of…
Improving speech recognition models with small samples for air traffic control systems
Yi Lin, Qin Li, Bo Yang +3
In the domain of air traffic control (ATC) systems, efforts to train a practical automatic speech recognition (ASR) model always faces the problem of small training samples since t…
Seg4Reg+: Consistency Learning between Spine Segmentation and Cobb Angle Regression
Yi Lin, Luyan Liu, Kai Ma +1
Automated methods for Cobb angle estimation are of high demand for scoliosis assessment. Existing methods typically calculate the Cobb angle from landmark estimation, or simply com…
Basic Kirwan injectivity and its applications
Yi Lin, Xiangdong Yang
Consider the Hamiltonian action of a torus on a transversely symplectic foliation that is also Riemannian. When the transverse hard Lefschetz property is satisfied, we establish a…
Component selection and smoothing in multivariate nonparametric regression
Yi Lin, Hao Helen Zhang
We propose a new method for model selection and model fitting in multivariate nonparametric regression models, in the framework of smoothing spline ANOVA. The ``COSSO'' is a method…
Prompt-Guided Foundation Model Tuning for Pathology Image Classification
Yi Lin, Zhengjie Zhu, Kwang-Ting Cheng +1
Foundation models have become pivotal in advancing computational pathology, particularly for whole slide image (WSI) classification. However, prevailing methodologies often rely on…
Riemannian foliations and quasifolds
Yi Lin, David Miyamoto
It is well known that, by the Reeb stability theorem, the leaf space of a Riemannian foliation with compact leaves is an orbifold. We prove that, under mild completeness conditions…
Log-concavity and symplectic flows
Yi Lin, Ãlvaro Pelayo
Let M be a compact, connected symplectic 2n-dimensional manifold on which an(n-2)-dimensional torus T acts effectively and Hamiltonianly. Under the assumption that there is an effe…
Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial Networks
Xin Yang, Yi Lin, Zhiwei Wang +2
In this paper, we propose a bi-modality medical image synthesis approach based on sequential generative adversarial network (GAN) and semi-supervised learning. Our approach consist…
A Comparative Study of Speaker Role Identification in Air Traffic Communication Using Deep Learning Approaches
Dongyue Guo, Jianwei Zhang, Bo Yang +1
Automatic spoken instruction understanding (SIU) of the controller-pilot conversations in the air traffic control (ATC) requires not only recognizing the words and semantics of the…
Explainable and Safe Reinforcement Learning for Autonomous Air Mobility
Lei Wang, Hongyu Yang, Yi Lin +2
Increasing traffic demands, higher levels of automation, and communication enhancements provide novel design opportunities for future air traffic controllers (ATCs). This article p…
DenseWorld-1M: Towards Detailed Dense Grounded Caption in the Real World
Xiangtai Li, Tao Zhang, Yanwei Li +13
Multimodal Large Language Models (MLLMs) demonstrate a complex understanding of scenes, benefiting from large-scale and high-quality datasets. Most existing caption datasets lack t…
Reinforcement Learning Improves LLM Accuracy and Reasoning in Disease Classification from Radiology Reports
Yishu Wei, Yi Lin, Adam Flanders +2
Accurate disease classification from radiology reports is essential for many applications. While supervised fine-tuning (SFT) of lightweight LLMs improves accuracy, it can degrade…
Learning a Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation
Xiaoyang Lyu, Peng Dai, Zizhang Li +4
Implicit neural rendering, which uses signed distance function (SDF) representation with geometric priors (such as depth or surface normal), has led to impressive progress in the s…
The log-concavity conjecture for the Duistermaat-Heckman measure revisited
Yi Lin
Karshon constructed the first counterexample to the log-concavity conjecture for the Duistermaat-Heckman measure: a Hamiltonian six manifold whose fixed points set is the disjoint…
Equivariant formality of transversely symplectic foliations and Frobenius manifolds
Yi Lin, Xiangdong Yang
Consider the Hamiltonian action of a compact connected Lie group on a transversely symplectic foliation which satisfies the transverse hard Lefschetz property. We establish an equi…
Generation of Spectrally-Efficient Superchannel Using Optical Frequency Comb Referencing and Active Demultiplexing
Yi Lin, Seán à Duill, Frank Smyth +3
We generate multiple optical carriers with ultra-low phase noise, over a useable bandwidth of 160 GHz, from an externally injected gain-switched comb source with exceptional low li…
Mapping the dispersion of the occupied and unoccupied band structure in photoexcited 1T-TiSe
Maximilian Huber, Yi Lin, Nicholas Dale +4
Charge density waves (CDW) are states of broken symmetry with a periodic modulation of charge and lattice typically leading to the opening of a gap in the band structure. In the mo…
ProSpec RL: Plan Ahead, then Execute
Liangliang Liu, Yi Guan, BoRan Wang +5
Imagining potential outcomes of actions before execution helps agents make more informed decisions, a prospective thinking ability fundamental to human cognition. However, mainstre…
On optimal designs for non-regular models
Yi Lin, Ryan Martin, Min Yang
Classically, Fisher information is the relevant object in defining optimal experimental designs. However, for models that lack certain regularity, the Fisher information does not e…
Harmonic and rational harmonic driving of microresonator soliton frequency combs
Yiqing Xu, Yi Lin, Alexander Nielsen +5
With demonstrated applications ranging from metrology to telecommunications, soliton microresonator frequency combs have emerged over the past decade as a remarkable new technology…
Kirillov's conjecture on Hecke-Grothendieck polynomials
Ben Brubaker, A. Suki Dasher, Michael Hu +6
We use algebraic methods in statistical mechanics to represent a multi-parameter class of polynomials in several variables as partition functions of a new family of solvable lattic…
BeSafe-Bench: Unveiling Behavioral Safety Risks of Situated Agents in Functional Environments
Yuxuan Li, Yi Lin, Peng Wang +2
The rapid evolution of Large Multimodal Models (LMMs) has enabled agents to perform complex digital and physical tasks, yet their deployment as autonomous decision-makers introduce…
Generalized complex hamiltonian torus actions: Examples and constraints
Thomas Baird, Yi Lin
Consider an effective Hamiltonian torus action on a topologically twisted,generalized complex manifold of dimension . We prove that the …
Real-Time Machine Learning Based Fiber-Induced Nonlinearity Compensation in Energy-Efficient Coherent Optical Networks
Elias Giacoumidis, Yi Lin, Michaela Blott +1
We experimentally demonstrate the first field-programmable gate-array-based real-time fiber nonlinearity compensator (NLC) using sparse K-means++ machine learning clustering in an…
Detecting Multi-Oriented Text with Corner-based Region Proposals
Linjie Deng, Yanxiang Gong, Yi Lin +5
Previous approaches for scene text detection usually rely on manually defined sliding windows. This work presents an intuitive two-stage region-based method to detect multi-oriente…
Symplectic Harmonic theory and the Federer-Fleming deformation theorem
Yi Lin
In this article, we initiate a geometric measure theoretic approach to symplectic Hodge theory. In particular, we apply one of the central results in geometric measure theory, the…
Value-Decomposed Reinforcement Learning Framework for Taxiway Routing with Hierarchical Conflict-Aware Observations
Shizhong Zhou, Haifeng Liu, Zheng Zhang +3
Taxiway routing and on-surface conflict avoidance are coupled safety-critical decision problems in airport surface operations. Existing planning and optimization methods are often…
Semi-supervised mp-MRI Data Synthesis with StitchLayer and Auxiliary Distance Maximization
Zhiwei Wang, Yi Lin, Kwang-Ting Cheng +1
In this paper, we address the problem of synthesizing multi-parameter magnetic resonance imaging (mp-MRI) data, i.e. Apparent Diffusion Coefficients (ADC) and T2-weighted (T2w), co…
ROSE: A Recognition-Oriented Speech Enhancement Framework in Air Traffic Control Using Multi-Objective Learning
Xincheng Yu, Dongyue Guo, Jianwei Zhang +1
Radio speech echo is a specific phenomenon in the air traffic control (ATC) domain, which degrades speech quality and further impacts automatic speech recognition (ASR) accuracy. I…
Integrating spoken instructions into flight trajectory prediction to optimize automation in air traffic control
Dongyue Guo, Zheng Zhang, Bo Yang +3
The booming air transportation industry inevitably burdens air traffic controllers' workload, causing unexpected human factor-related incidents. Current air traffic control systems…
A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks
Qingsong Yao, Zecheng He, Yi Lin +3
Deep neural networks (DNNs) for medical images are extremely vulnerable to adversarial examples (AEs), which poses security concerns on clinical decision making. Luckily, medical A…
A Non-autoregressive Multi-Horizon Flight Trajectory Prediction Framework with Gray Code Representation
Dongyue Guo, Zheng Zhang, Zhen Yan +2
Flight Trajectory Prediction (FTP) is an essential task in Air Traffic Control (ATC), which can assist air traffic controllers in managing airspace more safely and efficiently. Exi…
Convexity properties of presymplectic moment maps
Yi Lin, Reyer Sjamaar
The convexity and Morse-theoretic properties of moment maps in symplectic geometry typically fail for presymplectic manifolds. We find a condition on presymplectic moment maps that…
Enhancing sensitivity of atomic microwave receiver combining laser arrays
Bo Wu, Ruiqi Mao, Yi Liu +5
Rydberg atom,which exhibits a strong response to weak electric(E) fields,is regarded as a promising atomic receiver to surpass sensitivity of conventional receivers. However, its s…
Log symplectic manifolds and
Yi Lin, Yiannis Loizides, Reyer Sjamaar +1
We show, under an orientation hypothesis, that a log symplectic manifold with simple normal crossing singularities has a stable almost complex structure, and hence is Spin. In…
Penalties and Rewards for Fair Learning in Paired Kidney Exchange Programs
Margarida Carvalho, Alison Caulfield, Yi Lin +1
A kidney exchange program, also called a kidney paired donation program, can be viewed as a repeated, dynamic trading and allocation mechanism. This suggests that a dynamic algorit…
InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation
Yi Lin, Zeyu Wang, Kwang-Ting Cheng +1
Nuclei Segmentation from histology images is a fundamental task in digital pathology analysis. However, deep-learning-based nuclei segmentation methods often suffer from limited an…
Parallel Computing Based Solution for Reliability-Constrained Distribution Network Planning
Yaqi Sun, Wenchuan Wu, Yi Lin +2
The main goal of distribution network (DN) expansion planning is essentially to achieve minimal investment constrained with specified reliability requirements. The reliability-cons…
Equivariant symplectic Hodge theory and the -lemma
Yi Lin, Reyer Sjamaar
Consider a Hamiltonian action of a compact Lie group on a symplectic manifold which has the strong Lefschetz property. We establish an equivariant version of the Merkulov-Guillemin…
Logo-LLM: Local and Global Modeling with Large Language Models for Time Series Forecasting
Wenjie Ou, Zhishuo Zhao, Cheng Chen +2
Time series forecasting is critical across multiple domains, where time series data exhibit both local patterns and global dependencies. While Transformer-based methods effectively…
Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation
Jiabo Ma, Zhengrui Guo, Fengtao Zhou +20
Foundation models pretrained on large-scale datasets are revolutionizing the field of computational pathology (CPath). The generalization ability of foundation models is crucial fo…
Deep Learning for Computational Cytology: A Survey
Hao Jiang, Yanning Zhou, Yi Lin +3
Computational cytology is a critical, rapid-developing, yet challenging topic in the field of medical image computing which analyzes the digitized cytology image by computer-aided…
Disorder-invariant Implicit Neural Representation
Hao Zhu, Shaowen Xie, Zhen Liu +6
Implicit neural representation (INR) characterizes the attributes of a signal as a function of corresponding coordinates which emerges as a sharp weapon for solving inverse problem…
Overview of the CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-ray Classification
Hexin Dong, Yi Lin, Pengyu Zhou +7
Chest X-ray (CXR) interpretation is hindered by the long-tailed distribution of pathologies and the open-world nature of clinical environments. Existing benchmarks often rely on cl…
A Thom isomorphism in foliated de Rham theory
Yi Lin, Reyer Sjamaar
We prove a Thom isomorphism theorem for differential forms in the setting of transverse Lie algebra actions on foliated manifolds and foliated vector bundles.
Brain Harmony: A Multimodal Foundation Model Unifying Morphology and Function into 1D Tokens
Zijian Dong, Ruilin Li, Joanna Su Xian Chong +9
We present Brain Harmony (BrainHarmonix), the first multimodal brain foundation model that unifies structural morphology and functional dynamics into compact 1D token representatio…
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Haoming Wang, Haoyang Zou, Huatong Song +109
The development of autonomous agents for graphical user interfaces (GUIs) presents major challenges in artificial intelligence. While recent advances in native agent models have sh…
A Transverse Averaging Operator and Cohomology of Quotients by Homogeneous Non-closed Subgroups
Yi Lin
In this article, we introduce a transverse averaging operator for basic forms on a complete Riemannian foliation with compact leaf closure space, equipped with an isometric transve…
Masked Face Recognition under Different Backbones
Bo Zhang, Ming Zhang, Kun Wu +2
Erratum to the paper (Zhang et al., 2025): corrections to Table IV and the data in Page 3, Section A. In the post-pandemic era, a high proportion of civil aviation passengers wear…
Expert-Token Resonance MoE: Bidirectional Routing with Efficiency Affinity-Driven Active Selection
Jing Li, Zhijie Sun, Dachao Lin +5
Mixture-of-Experts (MoE) architectures enable efficient scaling of large language models by activating only a subset of parameters per input. However, existing MoE models suffer fr…
Hybrid Attention for Automatic Segmentation of Whole Fetal Head in Prenatal Ultrasound Volumes
Xin Yang, Xu Wang, Yi Wang +6
Background and Objective: Biometric measurements of fetal head are important indicators for maternal and fetal health monitoring during pregnancy. 3D ultrasound (US) has unique adv…
An Effective UNet Using Feature Interaction and Fusion for Organ Segmentation in Medical Image
Xiaolin Gou, Chuanlin Liao, Jizhe Zhou +2
Nowadays, pre-trained encoders are widely used in medical image segmentation due to their strong capability in extracting rich and generalized feature representations. However, exi…
De Rham Cohomology of Certain Diffeological Quotients
Yi Lin
Hector, Mac\'ıas-Virgós, and Sanmart\'ın-Carbón identified the complex of diffeological differential forms on the leaf space of a foliation with the complex of basic differenti…
ARGOS: Automated Functional Safety Requirement Synthesis for Embodied AI via Attribute-Guided Combinatorial Reasoning
Dongsheng Chen, Yuxuan Li, Yi Lin +6
Ensuring functional safety is essential for the deployment of Embodied AI in complex open-world environments. However, traditional Hazard Analysis and Risk Assessment (HARA) method…
Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification
Shuhan Li, Yi Lin, Hao Chen +1
Accurate and robust classification of diseases is important for proper diagnosis and treatment. However, medical datasets often face challenges related to limited sample sizes and…
ATCSpeech: a multilingual pilot-controller speech corpus from real Air Traffic Control environment
Bo Yang, Xianlong Tan, Zhengmao Chen +5
Automatic Speech Recognition (ASR) is greatly developed in recent years, which expedites many applications on other fields. For the ASR research, speech corpus is always an essenti…
Tunable Superconducting Magnetic Levitation with Self-Stability
Qi Xu, Yi Lin, Yunfei Tan +1
Magnetic levitation based on the flux pinning nature of type II superconductors has the merit of self-stability, making it appealing for applications such as high speed bearings, m…
Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction
Yuankai Wu, Hongyu Yang, Yi Lin +1
Demystifying the delay propagation mechanisms among multiple airports is fundamental to precise and interpretable delay prediction, which is crucial during decision-making for all…
Lefschetz contact manifolds and odd dimensional symplectic geometry
Yi Lin
In the literature, there are two different versions of Hard Lefschetz theorems for a compact Sasakian manifold. The first version, due to Kacimi-Alaoui, asserts that the basic coho…
Visual Spatial Tuning
Rui Yang, Ziyu Zhu, Yanwei Li +9
Capturing spatial relationships from visual inputs is a cornerstone of human-like general intelligence. Several previous studies have tried to enhance the spatial awareness of Visi…
Reduction of twisted generalized Kähler structure
Yi Lin, Susan Tolman
We show that our earlier work in \cite{LT05} extends to the twisted case, that is, we defined a notion of moment map and reduction in both twisted generalized complex geometry and…