Publications (61)
InterCMDM: Block-Causal Diffusion for Autoregressive Human Interaction Generation
Qing Yu, Kent Fujiwara
Text-conditioned human interaction generation must capture both long-range temporal causality within each individual and tightly coupled coordination between partners. Existing int…
New determination of using the three-loop QCD corrections for the semi-leptonic decays
Hua Zhou, Qing Yu, Xu-Chang Zheng +2
We present a new determination of the Cabibbo-Kobayashi-Maskawa matrix element by using the three-loop perturbative QCD corrections for the semi-lept…
Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation
Atsuyuki Miyai, Qing Yu, Daiki Ikami +2
Rotation is frequently listed as a candidate for data augmentation in contrastive learning but seldom provides satisfactory improvements. We argue that this is because the rotated…
Properties of the decay using the approximate -corrections and the principle of maximum conformality
Qing Yu, Xing-Gang Wu, Sheng-Quan Wang +3
The Higgs boson decay channel, , is one of the most important channels for probing the properties of the Higgs boson. In the paper, we reanalyze its decay width by using…
Determination of the top-quark running mass via its perturbative relation to the on-shell mass with the help of principle of maximum conformality
Xu-Dong Huang, Xing-Gang Wu, Jun Zeng +3
In the paper, we study the properties of the top-quark running mass computed from its on-shell mass by using both the four-loop -on-shell rel…
Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models
Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang +7
This paper introduces a novel task to evaluate the robust understanding capability of Large Multimodal Models (LMMs), termed . Multiple…
Chronologically Accurate Retrieval for Temporal Grounding of Motion-Language Models
Kent Fujiwara, Mikihiro Tanaka, Qing Yu
With the release of large-scale motion datasets with textual annotations, the task of establishing a robust latent space for language and 3D human motion has recently witnessed a s…
The -wave charmonium annihilation into two photons with high-order QCD corrections
Hua Zhou, Qing Yu, Xu-Dong Huang +2
In this paper, we present a new analysis on the -wave charmonium annihilation into two photons up to next-to-next-to-leading order (NNLO) QCD corrections by using the principle…
Unfolding a Hopf bifurcation in a linear reaction-diffusion equation with strongly localized impurity existence of breathing pulses
Ji Li, Qing Yu, Qian Zhang
This paper presents a general framework to derive the weakly nonlinear stability near a Hopf bifurcation in a special class of multi-scale reaction-diffusion equations. The main fo…
Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches
Qing Yu, Mikihiro Tanaka, Kent Fujiwara
To build a cross-modal latent space between 3D human motion and language, acquiring large-scale and high-quality human motion data is crucial. However, unlike the abundance of imag…
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data?
Atsuyuki Miyai, Qing Yu, Go Irie +1
Out-of-distribution (OOD) detection is critical for safety-sensitive machine learning applications and has been extensively studied, yielding a plethora of methods developed in the…
CPR-Coach: Recognizing Composite Error Actions based on Single-class Training
Shunli Wang, Qing Yu, Shuaibing Wang +7
The fine-grained medical action analysis task has received considerable attention from pattern recognition communities recently, but it faces the problems of data and algorithm sho…
PenduMorph: Development and Motion Analysis of Pendulum-Actuated Rolling Reconfigurable Spherical Robot with Magnetic-Coupling
Aung Myat, Peter Noyce, May Forgan +2
This paper presents "PenduMorph", a wireless reconfigurable rolling spherical robot designed as a modular platform for enclosed locomotion and inter-module interaction in challengi…
Gravitational Waves from Higgs Preheating after Inflaton -Symmetry Breaking
Hua Zhou, Qing Yu, Wei Cheng +1
In this paper, nonperturbative lattice simulations are used to study Higgs preheating and the associated gravitational wave (GW) background after the inflaton symmetry is bro…
Updated Determination of Ellis-Jaffe Sum Rules up to QCD corrections
Hua Zhou, Qing Yu, Xing-Gang Wu
In this paper, we explore the properties of the Ellis-Jaffe Sum Rule (EJSR) by employing the Principle of Maximum Conformality (PMC) approach to address its perturbative part up to…
Detector Development for HUBS I: Initial Testing of Small-Area TES Microcalorimeters
Naihui Chen, Jian Ma, Sifan Wang +8
We report progress on the ongoing development of microcalorimeter detector technology for the Hot Universe Baryon Surveyor (HUBS) mission. We show the results from testing and char…
-boson hadronic decay width up to -order QCD corrections using the single-scale approach of the principle of maximum conformality
Xu-Dong Huang, Xing-Gang Wu, Xu-Chang Zheng +3
In the paper, we study the properties of the -boson hadronic decay width by using the -order quantum chromodynamics (QCD) corrections with the help of the p…
Reheating constraints on modified single-field Natural Inflation models
Hua Zhou, Qing Yu, Yu Pan +2
In this paper, we discuss three modified single-field natural inflation models in detail, including Special generalized Natural Inflation model(SNI), Extended Natural Inflation mod…
A new analysis of the pQCD contributions to the electroweak parameter using the single-scale approach of principle of maximum conformality
Qing Yu, Hua Zhou, Jiang Yan +2
It has been observed that conventional renormalization scheme and scale ambiguities for the pQCD predictions can be eliminated by using the principle of maximum conformality (PMC).…
Global Estimation of Building-Integrated Facade and Rooftop Photovoltaic Potential by Integrating 3D Building Footprint and Spatio-Temporal Datasets
Qing Yu, Kechuan Dong, Zhiling Guo +8
This research tackles the challenges of estimating Building-Integrated Photovoltaics (BIPV) potential across various temporal and spatial scales, accounting for different geographi…
Noisy Annotation Refinement for Object Detection
Jiafeng Mao, Qing Yu, Yoko Yamakata +1
Supervised training of object detectors requires well-annotated large-scale datasets, whose production is costly. Therefore, some efforts have been made to obtain annotations in ec…
A novel determination of non-perturbative contributions to Bjorken sum rule
Qing Yu, Xing-Gang Wu, Hua Zhou +1
In the present paper, we first give a detailed study on the pQCD corrections to the leading-twist part of BSR. Previous pQCD corrections to the leading-twist part derived under con…
Chiral perturbation theory and Bose-Einstein condensation in QCD
Jens O. Andersen, Martin Kjøllesdal Johnsrud, Qing Yu +1
We present recent results in three-flavor chiral perturbation theory at finite isospin and strangeness chemical potentials at zero temperature. The phase diagram to $…
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
Atsuyuki Miyai, Qing Yu, Go Irie +1
We present a novel vision-language prompt learning approach for few-shot out-of-distribution (OOD) detection. Few-shot OOD detection aims to detect OOD images from classes that are…
A Unified Framework for Multi-Contact Path Planning in the Rolling Robot Systems
Qing Yu, Mikhail Svinin, Seyed Amir Tafrishi
Rolling motion planning is challenging because rolling contact imposes nonholonomic constraints and the configuration evolves on a curved manifold. The problem becomes substantiall…
WLFM: A Well-Logs Foundation Model for Multi-Task and Cross-Well Geological Interpretation
Zhenyu Qi, Qing Yu, Jichen Wang +3
Well-log interpretation is fundamental for subsurface characterization but remains challenged by heterogeneous tool responses, noisy signals, and limited labels. We propose WLFM, a…
Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy
Qing Yu, Kiyoharu Aizawa
Since deep learning models have been implemented in many commercial applications, it is important to detect out-of-distribution (OOD) inputs correctly to maintain the performance o…
Noisy Universal Domain Adaptation via Divergence Optimization for Visual Recognition
Qing Yu, Atsushi Hashimoto, Yoshitaka Ushiku
To transfer the knowledge learned from a labeled source domain to an unlabeled target domain, many studies have worked on universal domain adaptation (UniDA), where there is no con…
Coordination Engineering of Cu-Zn-Sn-S Aqueous Precursor for Efficient Kesterite Solar Cells
Linbao Guo, Jiangjian Shi, Qing Yu +9
Aqueous precursors provide an alluring approach for low-cost and environmentally friendly production of earth-abundant Cu2ZnSn(S,Se)4 (CZTSSe) solar cells. The key is to find an ap…
Fabrication and characterization of AlMn alloy superconducting films for 0vbb experiments
Zhouhui Liu, Yifei Zhang, Yu Xu +13
Neutrinoless double-beta decay (0vbb) experiments constitute a pivotal probe for elucidating the characteristics of neutrinos and further discovering new physics. Compared to the n…
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey
Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang +10
Detecting out-of-distribution (OOD) samples is crucial for ensuring the safety of machine learning systems and has shaped the field of OOD detection. Meanwhile, several other probl…
Determination of via a high-precision effective coupling
Qing Yu, Xing-Gang Wu, Hua Zhou +1
We propose a novel method to determine the strong coupling of quantum chromodynamics (QCD) and fix its running behavior at all scales by using the Bjorken sum rules (BSR). The BSR…
Thermodynamics and quark condensates of three-flavor QCD at low temperature
Jens O. Andersen, Qing Yu, Hua Zhou
We use three-flavor chiral perturbation theory (PT) to calculate the pressure, light and -quark condensates of QCD in the confined phase at finite temperature to ${\cal O}(p…
Generalized Crewther relation and a novel demonstration of the scheme independence of commensurate scale relations up to all orders
Xu-Dong Huang, Xing-Gang Wu, Qing Yu +3
In the paper, we make a detailed study on the generalized Crewther Relation (GCR) between the Adler function () and the Gross-Llewellyn Smith sum rules coefficient ($C^{\rm GLS}…
A Survey of Video-based Action Quality Assessment
Shunli Wang, Dingkang Yang, Peng Zhai +5
Human action recognition and analysis have great demand and important application significance in video surveillance, video retrieval, and human-computer interaction. The task of h…
Multiscale spatiotemporal heterogeneity analysis of bike-sharing system's self-loop phenomenon: Evidence from Shanghai
Yichen Wang, Qing Yu, Yancun Song
Bike-sharing is an environmentally friendly shared mobility mode, but its self-loop phenomenon, where bikes are returned to the same station after several time usage, significantly…
The heavy quarkonium inclusive decays using the principle of maximum conformality
Qing Yu, Xing-Gang Wu, Jun Zeng +2
The next-to-next-to-leading order (NNLO) pQCD correction to the inclusive decays of the heavy quarkonium ( being or ) has been done in the literature within the fr…
A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models
Shiho Noda, Atsuyuki Miyai, Qing Yu +2
Out-of-distribution (OOD) detection is a task that detects OOD samples during inference to ensure the safety of deployed models. However, conventional benchmarks have reached perfo…
Nonlinear Stability of Large-Period Traveling Waves Bifurcating from the Heteroclinic Loop in the FitzHugh-Nagumo Equation
Ji Li, Ke Wang, Qiliang Wu +1
A wave front and a wave back that spontaneously connect two hyperbolic equilibria, known as a heteroclinic wave loop, give rise to periodic waves with arbitrarily large spatial per…
Open-Set Domain Adaptation with Visual-Language Foundation Models
Qing Yu, Go Irie, Kiyoharu Aizawa
Unsupervised domain adaptation (UDA) has proven to be very effective in transferring knowledge obtained from a source domain with labeled data to a target domain with unlabeled dat…
New Determinations of the Charm and Bottom Quark Masses Using QCD Quarkonium Sum Rules
Qing Yu, Hua Zhou, Xing-Gang Wu
We reanalyze the perturbative QCD (pQCD) corrections to quarkonium QCD sum rules and extract the heavy quark masses (). At present, the…
Oval-shaped resonance distortion as a signature of quasiparticle heating effect in a niobium superconducting resonator
Zhenyuan Sun, Genting Dai, Xiao Geng +8
We investigate the nonlinear behavior of a superconducting microwave resonator subjected to a dissipative mechanism where the associated quality factor (Q factor) decreases with in…
An updated determination of the pion-photon transition form factor
Hua Zhou, Jiang Yan, Qing Yu +1
In this paper, we study the properties of the pion-photon transition form factor (TFF), $γγ^{\ast} \rightarrow Ï^{0}$, by using the principle of maximum commonality (PMC) to dea…
NNLO QCD Corrections to -Wave Spin-Singlet Heavy Quarkonia Decay via the Principle of Maximum Conformality
Hua Zhou, Xing-Gang Wu, Qing Yu +1
In this paper, we perform a comprehensive study of the decay process for -wave spin-singlet heavy quarkonia up to next-to-next-to-leading-order (NNLO) QCD corre…
Pion condensation in dense QCD, the dilute Bose gas, and speedy Goldstone bosons
Jens O. Andersen, Qing Yu, Hua Zhou
We consider pion condensation in QCD at finite isospin density and zero temperature using two-flavor chiral perturbation theory (PT). The pressure is calculated to next-…
Who You Are Matters: Bridging Topics and Social Roles via LLM-Enhanced Logical Recommendation
Qing Yu, Xiaobei Wang, Shuchang Liu +14
Recommender systems filter contents/items valuable to users by inferring preferences from user features and historical behaviors. Mainstream approaches follow the learning-to-rank…
Gravitational Wave From Axion-like Particle Inflation
Wei Cheng, Tao Qian, Qing Yu +2
In this paper, we investigate the Axion-like Particle inflation by applying the multi-nature inflation model, where the end of inflation is achieved through the phase transition (P…
Divergence Optimization for Noisy Universal Domain Adaptation
Qing Yu, Atsushi Hashimoto, Yoshitaka Ushiku
Universal domain adaptation (UniDA) has been proposed to transfer knowledge learned from a label-rich source domain to a label-scarce target domain without any constraints on the l…
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning
Qing Yu, Daiki Ikami, Go Irie +1
Semi-supervised learning (SSL) has been proposed to leverage unlabeled data for training powerful models when only limited labeled data is available. While existing SSL methods ass…
The leptonic decay using the principle of maximum conformality
Xu-Dong Huang, Xing-Gang Wu, Jun Zeng +2
In the paper, we study the leptonic decay width by using the principle of maximum conformality (PMC) scale-setting approach. The PMC adopts th…
Retrieving and Refining Winning Noise Tickets for Diffusion-Based Motion Generation
Sakuya Ota, Qing Yu, Kent Fujiwara +2
Diffusion-based text-to-motion models synthesize realistic human motions but often exhibit semantic drift from the input text. Motion is inherently temporal, especially in composit…
PINO: Person-Interaction Noise Optimization for Long-Duration and Customizable Motion Generation of Arbitrary-Sized Groups
Sakuya Ota, Qing Yu, Kent Fujiwara +2
Generating realistic group interactions involving multiple characters remains challenging due to increasing complexity as group size expands. While existing conditional diffusion m…
The Gross-Llewellyn Smith sum rule up to -order QCD corrections
Xu-Dong Huang, Xing-Gang Wu, Qing Yu +2
In the paper, we analyze the properties of Gross-Llewellyn Smith (GLS) sum rule by using the -order QCD corrections with the help of principle of maximum confo…
Causal Motion Diffusion Models for Autoregressive Motion Generation
Qing Yu, Akihisa Watanabe, Kent Fujiwara
Recent advances in motion diffusion models have substantially improved the realism of human motion synthesis. However, existing approaches either rely on full-sequence diffusion mo…
Granular jamming and rheology in microgravity
Olfa D'Angelo, Qing Yu, Thorsten Pöschel
Understanding how granular materials behave in low gravity is crucial for planetary science and space exploration. It can also help us understand granular phenomena usually hidden…
ProjFlow: Projection Sampling with Flow Matching for Zero-Shot Exact Spatial Motion Control
Akihisa Watanabe, Qing Yu, Edgar Simo-Serra +1
Generating human motion with precise spatial control is a challenging problem. Existing approaches often require task-specific training or slow optimization, and enforcing hard con…
GL-MCM: Global and Local Maximum Concept Matching for Zero-Shot Out-of-Distribution Detection
Atsuyuki Miyai, Qing Yu, Go Irie +1
Zero-shot out-of-distribution (OOD) detection is a task that detects OOD images during inference with only in-distribution (ID) class names. Existing methods assume ID images conta…
Qubit Energy Tuner Based on Single Flux Quantum Circuits
Xiao Geng, Rutian Huang, Yongcheng He +9
A device called qubit energy tuner (QET) based on single flux quantum (SFQ) circuits is proposed for Z control of superconducting qubits. Created from the improvement of flux digit…
ARMS: Anchor-Relational Motion Streaming for Seamless Solo-Social Motion Transitions
Huakun Liu, Qing Yu, Kent Fujiwara +2
Generating temporally continuous and socially coherent human motion from text remains a fundamental challenge, particularly in realistic streams where people act alone, enter inter…
Novel and self-consistency analysis of the QCD running coupling in both the perturbative and nonperturbative domains
Qing Yu, Hua Zhou, Xu-Dong Huang +2
The QCD coupling is the most important parameter for achieving precise QCD predictions. By using the well measured effective coupling defined from the Bjor…
The Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual Residuals
Takumi Kawashima, Qing Yu, Akari Asai +2
We propose a new optimization framework for aleatoric uncertainty estimation in regression problems. Existing methods can quantify the error in the target estimation, but they tend…