Publications (149)
RW-NSGCN: A Robust Approach to Structural Attacks via Negative Sampling
Shuqi He, Jun Zhuang, Ding Wang +1
Node classification using Graph Neural Networks (GNNs) has been widely applied in various practical scenarios, such as predicting user interests and detecting communities in social…
AV-SyncBench: Decoupled Benchmarking of Temporal and Semantic Audio-Visual Synchronization
Tianhong Zhou, Mingyang Han, Boyu Li +8
Audio-visual feature extraction is a fundamental component of multimodal understanding and generation tasks. However, existing evaluation protocols for feature extraction models ex…
New insights into hadron production mechanism from spectra in collisions at TeV
Xing-rui Gou, Feng-lan Shao, Rui-qin Wang +2
We show that the experimental data of mid-rapidity spectra for proton, , , , and in minimum-bias collisions at $\…
Atomistic insight into the effects of solute and pressure on phase transformation in titanium alloys
Huicong Chen, Chenwei Shao, Zhuocheng Xie +2
The phase stability and transformation between hexagonal close-packed (hcp) α-phase and body-centered cubic (bcc) \b{eta}-phase in titanium (Ti) alloys are critical to their mecha…
Hydrogen bubble nucleation by self-clustering: Density Functional Theory and statistical models studies using tungsten as a model system
Jie Hou, Xiang-Shan Kong, Jingjing Sun +4
Low-energy hydrogen irradiation is known to induce bubble formation in tungsten, while its atomistic mechanisms remain little understood. Using first-principles calculations and st…
Production of single-charm hadrons by quark combination mechanism in -Pb collisions at TeV
Hai-hong Li, Feng-lan Shao, Jun Song +1
If QGP-like medium is created in -Pb collisions at extremely high collision energies, charm quarks that move in the medium can hadronize by capturing the co-moving light quark(s…
Collision centrality and energy dependence of strange hadron production in Au + Au collisions at \sqrt{s_{NN}}= 7.7-54.4 GeV
Yanting Feng, Ziyao Song, Fenglan Shao +1
We apply an equal-velocity quark combination model to systematically study the transverse momentum (p_{T}) spectra of strange hadrons K_{S}^{0}, Ï, Î, Î^{-}, Ω^{-}, \barÎ, \ba…
Constituent quark number scaling from strange hadron spectra in collisions at 13 TeV
Jian-wei Zhang, Hai-hong Li, Feng-lan Shao +1
We show that the data of spectra of and at midrapidity in inelastic events in collisions at 13 TeV exhibit a constituent quark number scaling…
Video SimpleQA: Towards Factuality Evaluation in Large Video Language Models
Meng Cao, Pengfei Hu, Yingyao Wang +12
Recent advancements in Large Video Language Models (LVLMs) have highlighted their potential for multi-modal understanding, yet evaluating their factual grounding in videos remains…
Parallel Chromatic MCMC with Spatial Partitioning
Jun Song, David A. Moore
We introduce a novel approach for parallelizing MCMC inference in models with spatially determined conditional independence relationships, for which existing techniques exploiting…
Production properties of deuterons, helions and tritons via an analytical nucleon coalescence method in Pb-Pb collisions at TeV
Rui-Qin Wang, Yan-Hao Li, Jun Song +1
We improve a nucleon coalescence model to include the coordinate-momentum correlation in nucleon joint distributions, and apply it to Pb-Pb collisions at TeV t…
Effect of particle oxidation, size and material on deformation, bonding and deposition during cold spray: a peridynamic investigation
Baihua Ren, Jun Song
Cold spray (CS) has emerged as an important additive manufacturing technology over the past decade. This study investigates the effect of oxide layers on the CS process, focusing o…
Photonic hooks from Janus microcylinders
Guoqiang Gu, Liyang Shao, Jun Song +8
Recently, a type of curved light beams, photonic hooks (PHs), was theoretically predicted and experimentally observed. The production of photonic hook (PH) is due to the breaking o…
Accurate prediction of nanovoid structures and energetics in bcc metals
Jie Hou, Yu-Wei You, Xiang-Shan Kong +2
Knowledge on structures and energetics of nanovoids is fundamental to understand defect evolution in metals. Yet there remain no reliable methods able to determine essential struct…
Global Compression Commander: Plug-and-Play Inference Acceleration for High-Resolution Large Vision-Language Models
Xuyang Liu, Ziming Wang, Junjie Chen +6
Large vision-language models (LVLMs) excel at visual understanding, but face efficiency challenges due to quadratic complexity in processing long multi-modal contexts. While token…
The Role of Low-lying Optical Phonons in Lattice Thermal Conductance of Rare-earth Pyrochlores: A First-principle Study
Guoqiang Lan, Bin Ouyang, Jun Song
Rare-earth pyrochlores, commonly exhibiting anomalously low lattice thermal conductivities, are considered as promising topcoat materials for thermal barrier coatings. However the…
Different Coalescence Sources of Light Nuclei Production in Au-Au Collisions at GeV
Rui-Qin Wang, Ji-Peng Lv, Yan-Hao Li +2
We study the production of light nuclei in the coalescence mechanism in Au-Au collisions at midrapidity at GeV. We derive analytic formulas of momentum distributi…
GeoSense: Evaluating Identification and Application of Geometric Principles in Multimodal Reasoning
Liangyu Xu, Yingxiu Zhao, Jingyun Wang +9
Geometry problem-solving (GPS), a challenging task requiring both visual comprehension and symbolic reasoning, effectively measures the reasoning capabilities of multimodal large l…
Centrality, system size and energy dependences of charged-particle pseudo-rapidity distribution
De-ming Wei, Feng-lan Shao, Jun Song +1
Utilizing the three-fireball picture within the quark combination model, we study systematically the charged particle pseudorapidity distributions in both Au+Au and Cu+Cu collision…
A Novel Discovery of Negative Thermal Expansion in Rare-earth Pyrochlore through Anion Order-Disorder Transition
Yuxuan Wang, Guoqiang Lan, Jun Song
In this study, we report for the first time the occurrence and investigation of the negative thermal expansion (NTE) effect in rare-earth pyrochlores. It is found that the NTE orig…
FILA: Fine-Grained Vision Language Models
Shiding Zhu, Wenhui Dong, Jun Song +3
Recently, there has been growing interest in the capability of multimodal large language models (MLLMs) to process high-resolution images. A common approach currently involves dyna…
Optimistic Distributionally Robust Policy Optimization
Jun Song, Chaoyue Zhao
Trust Region Policy Optimization (TRPO) and Proximal Policy Optimization (PPO), as the widely employed policy based reinforcement learning (RL) methods, are prone to converge to a…
Hadron yield correlation and constituent quark degree of freedom in heavy ion collisions
Rui-qin Wang, Feng-lan Shao, Jun Song +1
Based on the assumption of the production of deconfined quark matter, we use a quark combination model to systematically investigate hadron yields in heavy ion collisions from RHIC…
Towards Optimal Pricing of Demand Response -- A Nonparametric Constrained Policy Optimization Approach
Jun Song, Chaoyue Zhao
Demand response (DR) has been demonstrated to be an effective method for reducing peak load and mitigating uncertainties on both the supply and demand sides of the electricity mark…
Geoparsing: Diagram Parsing for Plane and Solid Geometry with a Unified Formal Language
Peijie Wang, Ming-Liang Zhang, Jun Cao +10
Multimodal Large Language Models (MLLMs) have achieved remarkable progress but continue to struggle with geometric reasoning, primarily due to the perception bottleneck regarding f…
Modulating dislocation reactions through preferential hydrogen segregation in bcc metals
Jie Hou, Ducheng Peng, Xiang-Shan Kong +4
The interaction between dislocations is fundamental to plastic deformation, work hardening, and defect accumulation. While extensive research has focused on the impact of solutes o…
Chemomechanical Origin of Hydrogen Trapping at Grain Boundaries in FCC Metals
Xiao Zhou, Daniel Marchand, David L. McDowell +2
Hydrogen embrittlement of metals is widely observed, but its atomistic origins remain little understood and much debated. Combining a unique identification of interstitial sites th…
How Foundational Skills Influence VLM-based Embodied Agents:A Native Perspective
Bo Peng, Pi Bu, Keyu Pan +7
Recent advances in vision-language models (VLMs) have shown promise for human-level embodied intelligence. However, existing benchmarks for VLM-driven embodied agents often rely on…
DDA-Thinker: Decoupled Dual-Atomic Reinforcement Learning for Reasoning-Driven Image Editing
Hanqing Yang, Qiang Zhou, Yongchao Du +6
Recent image editing models have achieved strong visual fidelity but often struggle with tasks requiring complex reasoning. To investigate and enhance the reasoning-grounded planni…
Understanding the Influence of Hydrogen on BCC Iron Grain Boundaries using the Kinetic Activation Relaxation technique (k-ART)
Aynour Khosravi, Jun Song, Normand Mousseau
Hydrogen embrittlement (HE) poses a significant challenge in the mechanical integrity of iron and its alloys. This study explores the influence of hydrogen atoms on two distinct gr…
Hadronization effects on the baryon-strangeness correlation in quark combination models
Feng-lan Shao, Jun Song, Rui-qin Wang
The baryon-strangeness correlation in the hadronization of the quark matter is studied within the quark combination mechanism. We calculate the correlation coefficient $C_{BS} = -3…
Quark number scaling of spectra for and in relativistic heavy-ion collisions
Jun Song, Feng-lan Shao, Zuo-tang Liang
We show that the experimental data of transverse momentum () spectra of baryon and meson at mid-rapidity in heavy-ion collisions exhibit the constituent quark numb…
Averaged transverse momentum correlations of hadrons in relativistic heavy-ion collisions
Yan-ting Feng, Feng-lan Shao, Jun Song
We compile experimental data for the averaged transverse momentum () of proton, , , and at mid-rapidity in Au+Au collisi…
Laser: Efficient Language-Guided Segmentation in Neural Radiance Fields
Xingyu Miao, Haoran Duan, Yang Bai +5
In this work, we propose a method that leverages CLIP feature distillation, achieving efficient 3D segmentation through language guidance. Unlike previous methods that rely on mult…
Can VLMs Play Action Role-Playing Games? Take Black Myth Wukong as a Study Case
Peng Chen, Pi Bu, Jun Song +2
Recently, large language model (LLM)-based agents have made significant advances across various fields. One of the most popular research areas involves applying these agents to vid…
Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs
Shuqi He, Jun Zhuang, Ding Wang +2
Graph neural networks (GNNs) have been extensively employed in node classification. Nevertheless, recent studies indicate that GNNs are vulnerable to topological perturbations, suc…
Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score Matching
Xingyu Miao, Haoran Duan, Varun Ojha +4
In this work, we propose a novel Trajectory Score Matching (TSM) method that aims to solve the pseudo ground truth inconsistency problem caused by the accumulated error in Interval…
Crisis-Bench: Benchmarking Strategic Ambiguity and Reputation Management in Large Language Models
Cooper Lin, Maohao Ran, Yanting Zhang +6
Standard safety alignment optimizes Large Language Models (LLMs) for universal helpfulness and honesty, effectively instilling a rigid "Boy Scout" morality. While robust for genera…
CaveAgent: Transforming LLMs into Stateful Runtime Operators
Maohao Ran, Zhenglin Wan, Cooper Lin +21
LLM-based agents are increasingly capable of complex task execution, yet current agentic systems remain constrained by text-centric paradigms that struggle with long-horizon tasks…
First Principles Studies of Stacking Fault Energies in Ternary Magnesium Alloys
Qiwen Qiu, Stephen Yue, Jun Song
Magnesium (Mg) alloys have emerged as promising materials due to their low density and high strength-to-weight ratio, offering a wide range of applications across multiple industri…
Different production sources of light nuclei in relativistic heavy-ion collisions
Rui-qin Wang, Jun Song, Gang Li +1
We propose a new method, i.e., an exclusive quark combination model + an inclusive hadron recombination model, to study different production sources of light nuclei in relativistic…
Yield ratios of identified hadrons in p+p, p+Pb, Pb+Pb collisions at the Large Hadron Collider
Feng-lan Shao, Guo-jing Wang, Rui-qin Wang +2
Yield ratios of identified hadrons observed in high multiplicity p+p and p+Pb collisions at LHC show remarkable similarity with those in Pb+Pb collisions, indicating some important…
MOSS: Self-Evolution through Source-Level Rewriting in Autonomous Agent Systems
Qianshu Cai, Yonggang Zhang, Xianzhang Jia +5
Autonomous agentic systems are largely static after deployment: they do not learn from user interactions, and recurring failures persist until the next human-driven update ships a…
Molecular dynamics simulations of interaction between a super edge dislocation and interstitial dislocation loops in irradiated L12-Ni3Al
Cheng Chen, Dongyang Qin, Yiding Wang +2
The study employed MD simulations to investigate the interactions between a <110> super-edge dislocation, consisting of the four Shockley partials, and interstitial dislocation loo…
AdaGen: Learning Adaptive Policy for Image Synthesis
Zanlin Ni, Yulin Wang, Yeguo Hua +5
Recent advances in image synthesis have been propelled by powerful generative models, such as Masked Generative Transformers (MaskGIT), autoregressive models, diffusion models, and…
Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems
Qinyi Luo, Penghan Wang, Wei Zhang +8
Huge embedding tables in modern deep learning recommender models (DLRM) require prohibitively large memory during training and inference. This paper proposes FIITED, a system to au…
Scaling Multi-Hop Training Data via Graph-Constrained Path Selection
Pengyu Chen, Yonggang Zhang, Mingming Chen +3
Endowing large language models with compositional reasoning over specialized documents requires multi-hop training data at scale, where such data rarely exists outside of curated b…
Distributionally Robust Optimal Power Flow with Uncertain Renewable Energy Output
Jia Yang, Jun Song, Chaoyue Zhao
Optimal power flow (OPF) is an important tool for Independent System Operators (ISOs) to deal with the power generation management. With the increasing penetration of renewable ene…
Centrality dependence of spectra for identified hadrons in Au+Au and Cu+Cu collisions at GeV
Yun-fei Wang, Feng-lan Shao, Jun Song +2
The centrality dependence of transverse momentum spectra for identified hadrons at midrapidity in Au+Au collisions at GeV is systematically studied in a quark…
Mixture-of-Visual-Thoughts: Exploring Context-Adaptive Reasoning Mode Selection for General Visual Reasoning
Zejun Li, Yingxiu Zhao, Jiwen Zhang +6
Current visual reasoning methods mainly focus on exploring specific reasoning modes. Although improvements can be achieved in particular domains, they struggle to develop general r…
Align Anything: Training All-Modality Models to Follow Instructions with Language Feedback
Jiaming Ji, Jiayi Zhou, Hantao Lou +16
Reinforcement learning from human feedback (RLHF) has proven effective in enhancing the instruction-following capabilities of large language models; however, it remains underexplor…
Statistical method in quark combination model
Yang-guang Yang, Jun Song, Feng-lan Shao +2
We present a new method of solving the probability distribution for baryons, antibaryons and mesons at the hadronization of constituent quark and antiquark system. The hadronizatio…
Hadron production by quark combination in central Pb+Pb collisions at GeV
Chang-en Shao, Jun Song, Feng-lan Shao +1
The quark combination mechanism of QGP hadronization is applied to nucleus-nucleus collisions at top SPS energy. The yields, rapidity and transverse momentum distributions of ident…
New feature of low charm quark hadronization in collisions at TeV
Jun Song, Hai-hong Li, Feng-lan Shao
Treating the light-flavor constituent quarks and antiquarks that can well describe the data of light-flavor hadrons in collisions at TeV as the underlying source…
Critical Assessment of Mass and Lattice Disorder in Thermal Conductivity Prediction for Medium and High Entropy Ceramics
Yuxuan Wang, Guoqiang Lan, Jun Song
Medium and high entropy ceramics, with their distinctive disordered structures, exhibit ultra-low thermal conductivity and high temperature stability. These properties make them st…
Quark number scaling of hadronic spectra and constituent quark degree of freedom in -Pb collisions at TeV
Jun Song, Xing-rui Gou, Feng-lan Shao +1
We show that the experimental data of spectra of identified hadrons released recently by ALICE collaboration for -Pb collisions at TeV exhibit a disti…
Multiplicity fluctuation and correlation of identified baryons in quark combination model
Jun Song, Hai-hong Li, Rui-qin Wang +1
The dynamical fluctuation and correlation of multiplicity distributions of identified baryons and antibaryons produced by the hadronization of the bulk quark system are systematica…
Rapidity dependence of global polarization in heavy ion collisions
Zuo-Tang Liang, Jun Song, Isaac Upsal +2
We use a geometric model for the hadron polarization with an emphasis on the rapidity dependence. It is based on the model of Brodsky, Gunion, and Kuhn and that of the Bjorken scal…
Anisotropic flows of light-flavor and charmed hadrons in Pb+Pb collisions at LHC energy
Yan-ting Feng, Rui-qin Wang, Feng-lan Shao +1
We apply a constituent quark equal-velocity combination (EVC) model to study the elliptic flow () and triangular flow () of light-flavor and single-charmed hadrons in…
A novel approach to assess hydrogen embrittlement (HE) susceptibility and mechanisms in high strength martensitic steels
Tuhin Das, Salim V. Brahimi, Jun Song +1
A rapid fracture test in four-point bending is proposed to assess hydrogen embrittlement (HE) susceptibility of high strength martensitic steels. The novelty of this technique is t…
Multiplicity fluctuation and correlation of mesons and baryons in ultra-relativistic heavy-ion collisions at LHC
Hai-hong Li, Feng-lan Shao, Jun Song
We study the multiplicity fluctuation and correlation of identified mesons and baryons formed at the hadronization by the quark combination mechanism in the context of ultra-relati…
MMG-Vid: Maximizing Marginal Gains at Segment-level and Token-level for Efficient Video LLMs
Junpeng Ma, Qizhe Zhang, Ming Lu +4
Video Large Language Models (VLLMs) excel in video understanding, but their excessive visual tokens pose a significant computational challenge for real-world applications. Current…
Thinking with Drafts: Speculative Temporal Reasoning for Efficient Long Video Understanding
Pengfei Hu, Meng Cao, Yingyao Wang +6
Long video understanding is essential for human-like intelligence, enabling coherent perception and reasoning over extended temporal contexts. While the emerging thinking-with-fram…
Transverse momentum dependence of ratio in high energy collisions
Hai-hong Li, Jun Song, Feng-lan Shao
We apply a constituent quark equal-velocity combination model to study the dependence of ratio in , -Pb and Pb-Pb collisions at LHC energies. We demonstrate…
InquireMobile: Teaching VLM-based Mobile Agent to Request Human Assistance via Reinforcement Fine-Tuning
Qihang Ai, Pi Bu, Yue Cao +8
Recent advances in Vision-Language Models (VLMs) have enabled mobile agents to perceive and interact with real-world mobile environments based on human instructions. However, the c…
SecAgent: Efficient Mobile GUI Agent with Semantic Context
Yiping Xie, Song Chen, Jingxuan Xing +7
Mobile Graphical User Interface (GUI) agents powered by multimodal large language models have demonstrated promising capabilities in automating complex smartphone tasks. However, e…
AI Deception: Risks, Dynamics, and Controls
Boyuan Chen, Sitong Fang, Jiaming Ji +56
As intelligence increases, so does its shadow. AI deception, in which systems induce false beliefs to secure self-beneficial outcomes, has evolved from a speculative concern to an…
FiLA-Video: Spatio-Temporal Compression for Fine-Grained Long Video Understanding
Yanan Guo, Wenhui Dong, Jun Song +7
Recent advancements in video understanding within visual large language models (VLLMs) have led to notable progress. However, the complexity of video data and contextual processing…
Elliptic flow of hadrons in equal-velocity quark combination mechanism in relativistic heavy-ion collisions
Jun Song, Hai-hong Li, Feng-lan Shao
We apply a quark combination model with equal-velocity combination (EVC) approximation to study the elliptic flow () of hadrons in heavy-ion collisions in a wide collision e…
ViT: Unlocking Test-Time Training in Vision
Dongchen Han, Yining Li, Tianyu Li +6
Test-Time Training (TTT) has recently emerged as a promising direction for efficient sequence modeling. TTT reformulates attention operation as an online learning problem, construc…
MOON: Generative MLLM-based Multimodal Representation Learning for E-commerce Product Understanding
Daoze Zhang, Chenghan Fu, Zhanheng Nie +7
With the rapid advancement of e-commerce, exploring general representations rather than task-specific ones has attracted increasing research attention. For product understanding, a…
Hadron Yield Correlation in Combination Models in High Energy AA Collisions
Rui-qin Wang, Feng-lan Shao, Jun Song +2
We study the hadron yield correlation in the combination models in high energy heavy ion collisions. We derive the relationship between the average yields of different hadrons prod…
Deep Pre-Alignment for VLMs
Tianyu Yu, Kechen Fang, Zihao Wan +5
Most Vision Language Models (VLMs) directly map outputs from ViT encoders to the LLM via a lightweight projector. While effective, recent analysis suggests this architecture suffer…
Provably Convergent Policy Optimization via Metric-aware Trust Region Methods
Jun Song, Niao He, Lijun Ding +1
Trust-region methods based on Kullback-Leibler divergence are pervasively used to stabilize policy optimization in reinforcement learning. In this paper, we exploit more flexible m…
Energetics and kinetics of vacancies in monolayer graphene boron nitride heterostructures
Bin Ouyang, Fanchao Meng, Jun Song
Graphene and boron nitride (GPBN) heterostructures provide a viable way to realize tunable bandgap, promising new opportunities in graphene-based nanoelectronic and optoelectronic…
Kinetics of hydrogen and vacancy diffusion in iron: A Kinetic Activation Relaxation technique (k-ART) study
Aynour Khosravi, Jun Song, Normand Mousseau
We investigate hydrogen (H) and mono and divacancy-hydrogen complexes (VH and VH) diffusion in body-centered-cubic (BCC) iron using the kinetic Activation-Relaxation Te…
Production of light flavor and single-charmed hadrons in collisions at TeV in an equal-velocity quark combination model
Hai-hong Li, Feng-lan Shao, Jun Song
We apply an equal-velocity quark combination model to study the production of light-flavor hadrons and single-charmed hadrons at midrapidity in collisions at T…
Charmed hadron production via equal-velocity quark combination in ultra-relativistic heavy ion collisions
Rui-Qin Wang, Jun Song, Feng-Lan Shao +1
Recent data on the production of mesons and baryons in heavy ion collisions at the Relativistic Heavy Ion Collider and the Large Hadron Collider exhibit a number of st…
Yield correlations and dependence of charm hadrons in Pb + Pb collisions at TeV
Rui-qin Wang, Jun Song, Feng-lan Shao
Recently the ALICE Collaboration has published a few data of charm hadrons in Pb + Pb collisions at the CERN Large Hadron Collider (LHC). We extend the quark combination to the cha…
The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models
Zanlin Ni, Shenzhi Wang, Yang Yue +8
Diffusion Large Language Models (dLLMs) break the rigid left-to-right constraint of traditional LLMs, enabling token generation in arbitrary orders. Intuitively, this flexibility i…
Enhancing Sufficient Dimension Reduction via Hellinger Correlation
Seungbeom Hong, Ilmun Kim, Jun Song
In this work, we develop a new theory and method for sufficient dimension reduction (SDR) in single-index models, where SDR is a sub-field of supervised dimension reduction based o…
GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation
Shihao Cai, Keqin Bao, Hangyu Guo +3
Large language models have seen widespread adoption in math problem-solving. However, in geometry problems that usually require visual aids for better understanding, even the most…
SPAE: Spectrally Guided Autoencoder for Pretrained Visual Latents
Yibin Huang, Jixiang Hong, Zongzhao Li +8
Latents from vision foundation models (VFMs) are semantically rich and well suited for visual understanding. Recent representation autoencoder methods such as RAE have shown that t…
Strange hadron production in a quark combination model in Au+Au collisions at RHIC energies
Jun Song, Xiao-feng Wang, Hai-hong Li +2
We apply a quark combination model to study yield densities and transverse momentum () spectra of strange (anti-)hadrons at mid-rapidity in central Au+Au collisions at $\sqr…
Hidden-charm Pentaquark States in Heavy Ion Collisions at the Large Hadron Collider
Rui-Qin Wang, Jun Song, Kai-Jia Sun +3
In the framework of the quark combination, we derive the yield formulas and study the yield ratios of the hidden-charm pentaquark states in ultra-relativistic heavy ion collisions.…
CombatVLA: An Efficient Vision-Language-Action Model for Combat Tasks in 3D Action Role-Playing Games
Peng Chen, Pi Bu, Yingyao Wang +9
Recent advances in Vision-Language-Action models (VLAs) have expanded the capabilities of embodied intelligence. However, significant challenges remain in real-time decision-making…
Demystify Mamba in Vision: A Linear Attention Perspective
Dongchen Han, Ziyi Wang, Zhuofan Xia +7
Mamba is an effective state space model with linear computation complexity. It has recently shown impressive efficiency in dealing with high-resolution inputs across various vision…
Pailitao-MMSearch: Building Native E-Commerce Multimodal Search Foundation
Xiaohan Ye, Xu Chen, Zihan Gong +15
The evolution of e-commerce has fundamentally transformed how users search for products, shifting from simple text-based keyword queries to complex multimodal interactions that sea…
Hydrogen clustering in bcc metals: atomic origin and strong stress anisotropy
Jie Hou, Xiang-Shan Kong, C. S. Liu +1
Hydrogen (H) induced damage in metals has been a long-standing woe for many industrial applications. One form of such damage is linked to H clustering, for which the atomic origin…
GIFT: Global Irreplaceability Frame Targeting for Efficient Video Understanding
Junpeng Ma, Sashuai Zhou, Guanghao Li +9
Video Large Language Models (VLMs) have achieved remarkable success in video understanding, but the significant computational cost from processing dense frames severely limits thei…
Text Before Vision: Staged Knowledge Injection Matters for Agentic RLVR in Ultra-High-Resolution Remote Sensing Understanding
Fengxiang Wang, Mingshuo Chen, Yueying Li +13
Multimodal reasoning for ultra-high-resolution (UHR) remote sensing (RS) is usually bottlenecked by visual evidence acquisition: the model necessitates localizing tiny task-relevan…
Hadronic Rapidity Spectra in Heavy Ion Collisions at SPS and AGS energies in a Quark Combination Model
Le-xue Sun, Rui-qin Wang, Jun Song +1
The quark combination mechanism of hadron production is applied to nucleus-nucleus collisions at the CERN Super Proton Synchrotron (SPS) and BNL Alternating Gradient Synchrotron (A…
Multivariate functional group sparse regression: functional predictor selection
Ali Mahzarnia, Jun Song
In this paper, we propose methods for functional predictor selection and the estimation of smooth functional coefficients simultaneously in a scalar-on-function regression problem…
Mobile-R1: Towards Interactive Capability for VLM-Based Mobile Agent via Systematic Training
Jihao Gu, Qihang Ai, Yingyao Wang +10
Vision-language model-based mobile agents have gained the ability to understand complex instructions and mobile screenshots, benefiting from reinforcement learning paradigms like G…
MatSegNet: a New Boundary-aware Deep Learning Model for Accurate Carbide Precipitate Analysis in High-Strength Steels
Xiaohan Bie, Manoj Arthanari, Evelin Barbosa de Melo +7
Lower Bainite (LB) and Tempered Martensite (TM) are two common microstructures in modern high-strength steels. LB and TM can render similar mechanical properties for steels, yet LB…
Reinforcement Learning of Large Language Models for Interpretable Credit Card Fraud Detection
Cooper Lin, Yanting Zhang, Maohao Ran +7
E-commerce platforms and payment solution providers face increasingly sophisticated fraud schemes, ranging from identity theft and account takeovers to complex money laundering ope…
Masked Self-distilled Transducer-based Keyword Spotting with Semi-autoregressive Decoding
Yu Xi, Xiaoyu Gu, Haoyu Li +3
RNN-T-based keyword spotting (KWS) with autoregressive decoding~(AR) has gained attention due to its streaming architecture and superior performance. However, the simplicity of the…
Covalent pathways in engineering h-BN supported graphene
Bin Ouyang, Jun Song
Cross-planar di-vacancies (CPDVs) within stacked graphene hexagonal boron nitride (h-BN) heterostructures provide stabilized covalent links to bridge adjacent graphene and h-BN she…
The domain of soft hadrons in transverse momentum space in high energy collisions
Jun Song, Hai-hong Li, Feng-lan Shao
By studying experimental data for invariant transverse momentum distribution of hadrons in high energy , A and AA collisions, we find two characteristic p…
Production characteristics of light nuclei, hypertritons and -hypernuclei in Pb+Pb collisions at TeV
Rui-Qin Wang, Xin-Lei Hou, Yan-Hao Li +2
We extend an analytical nucleon coalescence model with hyperons to study productions of light nuclei, hypertritons and -hypernuclei in Pb+Pb collisions at …